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1.
  • Ansari, Iman, et al. (author)
  • An Industry 4.0 readiness model for new technology exploitation
  • 2023
  • In: International Journal of Quality & Reliability Management. - : Emerald Group Publishing Limited. - 0265-671X .- 1758-6682. ; 40:10, s. 2519-2538
  • Journal article (peer-reviewed)abstract
    • PurposeConsidering the importance and the broad applications of the Fourth Industrial Revolution in various organizations and industries and enjoying the many benefits of this digital transformation framework, organizations need to measure their Industry 4.0 readiness as a starting point and take steps to achieve the strategic goals of Industry 4.0. This study aims to design a comprehensive and practical model that can determine Industry 4.0 readiness level, allowing organizations to implement and exploit technological constituents of this phenomenon.Design/methodology/approachA systematic literature review (SLR) methodology was used to evaluate and summarize a clear and comprehensive literature overview of Industry 4.0 readiness models and to certify the validity and transparency of the review process. After reviewing 71 articles and survey and then the consensus of Industry 4.0 experts, the 10 dimensions of the 4.0 Industry readiness model were finalized with their indicators having the most frequency in the published articles and models.FindingsThe application of the SLR to the development of the new Industry 4.0 readiness model which includes 10 dimensions and 37 indicators and can assess the Industry 4.0 readiness of firms and industries accurately and effectively.Research limitations/implicationsAn extensive review of the previous literature yielded the current Industry 4.0 readiness model. The comprehensiveness of this model leads to its wide application in different companies. Future research suggestions are presented at the end of the manuscript.Practical implicationsThe concept of the Fourth Industrial Revolution and the application of its technologies are vague and complicated for many organizations and managers, while the need to implement the components and technologies of Industry 4.0 is essential to achieve organizational goals. The presented readiness model helps companies to measure their readiness to enter the Fourth Industrial Revolution and achieve long-term goals.Originality/valueIn this study, an attempt was made to examine the Industry 4.0 readiness models thoroughly and extensively and identify their different approaches. Finally, a comprehensive and multi-dimensional readiness model is presented to assess the position of organizations in order to enter Industry 4.0.
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2.
  • Beheshtinia, Mohammad Ali, et al. (author)
  • A fuzzy three-dimensional house of quality to integrate and coordinate departments’ activities in organizations
  • 2023
  • In: IEEE Access. - : IEEE. - 2169-3536.
  • Journal article (peer-reviewed)abstract
    • This study aims to introduce a method to integrate and coordinate departments’ activities to enhance the service quality of organizations using Quality Function Deployment (QFD). To this purpose, the classical two-dimensional House Of Quality (HOQ) matrix is changed to a three-dimensional form (3D-HOQ). The 3D-HOQ is applied to the marketing and Human Resources (HR) departments of a bank to determine customers’ and employees’ demands, respectively. The 3D-HOQ is also employed to provide a unique list of technical requirements to satisfy the identified demands. Obtaining a unique list of technical requirements with the cooperation of both departments reduces the inconsistency between departments, saves cost and time by preventing reworks and parallel works, and increases the organization’s efficiency. Moreover, 3D-HOQ is combined with the SERVQUAL technique and fuzzy theory to determine the weight of obtained technical requirements. The study is conducted in four main steps, (1) identifying the customers’ and employees’ demands, (2) identifying the technical requirements for simultaneous satisfaction of both customers’ and employees’ demands, (3) determining the relationships between the technical requirements and the identified demands, and (4) prioritizing technical requirements. Applying the 3D-HOQ resulted in identifying 30 customers’ demands, 30 employees’ demands, and 50 technical requirements. The study results show that "using new banking technologies" has the highest weight among the customers’ demands, and "job security" has been found to have the highest weight among employees’ demands. Moreover, "Intra-organizational processes automation" has been identified as the technical requirement with the highest weight.
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3.
  • Beheshtinia, Mohammad Ali, et al. (author)
  • A Fuzzy Three-Dimensional House of Quality to Integrate and Coordinate Departments' Activities in Organizations
  • 2023
  • In: IEEE Access. - : Institute of Electrical and Electronics Engineers (IEEE). - 2169-3536. ; 11, s. 90538-90553
  • Journal article (peer-reviewed)abstract
    • This study aims to introduce a method to integrate and coordinate departments' activities to enhance the service quality of organizations using Quality Function Deployment (QFD). To this purpose, the classical two-dimensional House Of Quality (HOQ) matrix is changed to a three-dimensional form (3D-HOQ). The 3D-HOQ is applied to the marketing and Human Resources (HR) departments of a bank to determine customers' and employees' demands, respectively. The 3D-HOQ is also employed to provide a unique list of technical requirements to satisfy the identified demands. Obtaining a unique list of technical requirements with the cooperation of both departments reduces the inconsistency between departments, saves cost and time by preventing reworks and parallel works, and increases the organization's efficiency. Moreover, 3D-HOQ is combined with the SERVQUAL technique and fuzzy theory to determine the weight of obtained technical requirements. The study is conducted in four main steps: 1) identifying the customers' and employees' demands; 2) identifying the technical requirements for simultaneous satisfaction of both customers' and employees' demands; 3) determining the relationships between the technical requirements and the identified demands; and 4) prioritizing technical requirements. Applying the 3D-HOQ resulted in identifying 30 customers' demands, 30 employees' demands, and 50 technical requirements. The study results show that "using new banking technologies" has the highest weight among the customers' demands, and "job security" has been found to have the highest weight among employees' demands. Moreover, "Intraorganizational processes automation" has been identified as the technical requirement with the highest weight.
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4.
  • Fathi, Masood, et al. (author)
  • An Interpretive Structural Modeling of Teamwork Training in Higher Education
  • 2019
  • In: Education Sciences. - Switzerland : MDPI. - 2227-7102. ; 9:1, s. 1-20
  • Journal article (peer-reviewed)abstract
    • In the past decade, the importance of teamwork training in higher education and employers’ enthusiasm for recruiting team players have been widely discussed in the literature. Yet, the process through which effective teamwork training is developed in a higher education setting has not yet been properly discussed. The present study aims to map the precedence relationships among the key determinants of teamwork training effectiveness and explain the process through which an effective teamwork training program can be developed. The study first conducted an extensive review of the literature to highlight the key determinants of effective teamwork training. Next, the study benefitted from an interpretive structural modeling technique and captured the opinions of a group of teamwork training experts to further map the interrelationships among the potential determinants that were identified. By listing the key determinants of effective teamwork training, mapping their interrelationships, and identifying their driving and dependence power, the present study is expected to help practitioners and academicians through providing a detailed understanding of the process through which an effective teamwork training program can be developed in a higher education context.
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5.
  • Fathi, Masood, et al. (author)
  • An optimization model for material supply scheduling at mixed-model assembly lines
  • 2018
  • In: Procedia CIRP. - : Elsevier. - 2212-8271 .- 2212-8271. ; 72, s. 1258-1263
  • Journal article (peer-reviewed)abstract
    • This study is motivated by a real case study and addresses the material supply problem at assembly lines. The aim of the study is to optimally schedule the delivery of raw material at assembly lines while using the minimum number of vehicles. To cope with the problem an original mixed integer linear programming model has been proposed based on the assumptions and constraints observed in the case study. The validity of the model has been examined by solving several real cases and analysing different scenarios. The results of the study show the efficiency and effectiveness of the model.
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6.
  • Fathi, Masood, et al. (author)
  • Assembly line balancing problem : a comparative evaluation of heuristics and a computational assessment of objectives
  • 2018
  • In: Journal of Modelling in Management. - : Emerald Group Publishing Limited. - 1746-5664 .- 1746-5672. ; 13:2, s. 455-474
  • Journal article (peer-reviewed)abstract
    • Purpose – The purpose of this study is to firstly investigate the efficiency of the most commonly used performance measures for minimizing the Number of Workstations (NWs) in approaches addressing Simple Assembly Line Balancing Problem (SALBP) for both straight and U-shaped line. Secondly, this study aims to provide a comparative evaluation of 20 constructive heuristics to find solutions to the SALBP-1.Design/methodology/approach – 200 problems are solved by 20 different constructive heuristics for both straight and U-shaped assembly line. Moreover, several comparisons have been made to evaluate the performance of constructive heuristics.Findings – Minimizing the Smoothness Index (SI) is not necessarily equivalent to minimizing the NWs, therefore, it should not be used as the fitness function in approaches addressing the SALBP-1. Line efficiency (LE) and the idle time (IT) are indeed reliable performance measures for minimizing the NWs. The most promising heuristics for straight and U-shaped line configurations for SALBP-1 are also ranked and introduced.Practical implications – Results are expected to help scholars and industrial practitioners to better design effective solution methods for having a most balance assembly line. This study will further help with choosing the most proper heuristic with regard to the problem specifications and line configuration.Originality/value – There is limited research assessing the efficiency of the common objectives for SALBP-1. This study is among the first to prove that minimizing the workload smoothness is not equivalent to minimizing the NWs in SALBP-1 studies. This work is also one of the first attempts for evaluating the constructive heuristics for both straight and U-shaped line configurations.
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7.
  • Fathi, Masood, et al. (author)
  • Balancing assembly lines with industrial and collaborative robots : Current trends and future research directions
  • 2024
  • In: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 193
  • Research review (peer-reviewed)abstract
    • Assembly-line balancing is a significant issue in production systems. Employing industrial robots as the main production resource was a milestone in developing assembly lines, and emerging Industry 4.0 led industries to build collaborative assembly lines by combining robots and human operator skills. Recently, the majority of research on assembly line balancing has contributed to addressing aspects of utilizing robots in assembly lines and how they can increase line performance. Various models and methods are developed, considering different objectives and performance indicators. Despite the increasing number of studies in this area, a thorough literature review is lacking in identifying gaps, shedding light on research directions, and facilitating future development. This study systematically reviews assembly-line balancing studies targeted at assembly lines with industrial and collaborative robots. Studies are classified based on their objectives and reviewed for their solution method, line layout, and other essential specifications. A descriptive analysis is provided to assist researchers and practitioners in linking different properties of assembly lines to the objectives and applied methodologies. The results show that most studies developed models and solution methods that focused on simultaneously optimizing more than one objective. The review reveals that minimizing the cycle time is the most popular objective, and meta-heuristic algorithms are the dominant solution approaches. It is also observed that balancing assembly lines with collaborative robots has received more attention in the last five years with the emergence of Industry 4.0. The review also highlights gaps in the related literature and provides promising insights for future research.
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8.
  • Fathi, Masood, et al. (author)
  • Enabling Mass Customization and Manufacturing Sustainability in Industry 4.0 Context : A Novel Heuristic Algorithm for in-Plant Material Supply Optimization
  • 2020
  • In: Sustainability. - : MDPI. - 2071-1050. ; 12:16, s. 1-15
  • Journal article (peer-reviewed)abstract
    • The fourth industrial revolution and the digital transformation of consumer markets require contemporary manufacturers to rethink and reshape their business models to deal with the ever-changing customer demands and market turbulence. Manufacturers nowadays are inclined toward product differentiation strategies and more customer-focused approaches to stay competitive in the Industry 4.0 environment, and mass customization and product diversification are among the most commonly implemented business models. Under such circumstances, an economical material supply to assembly lines has become a significant concern for manufacturers. Consequently, the present study deals with optimizing the material supply to mixed-model assembly lines that contribute to the overall production cost efficiency, mainly via the reduction of both the material transportation and material holding costs across production lines, while satisfying certain constraints. Given the complexity of the problem, a novel two-stage heuristic algorithm is developed in this study to enable a cost-efficient delivery. To assess the efficiency and effectiveness of the proposed heuristic algorithm, a set of test problems are solved and compared against the best solution found by a commercial solver. The results of the comparison reveal that the suggested heuristic provides reasonable solutions, thus offering immense opportunities for production cost efficiency and manufacturing sustainability under the mass customization philosophy.
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9.
  • Fathi, Masood, et al. (author)
  • Production Sustainability via Supermarket Location Optimization in Assembly Lines
  • 2020
  • In: Sustainability. - : MDPI. - 2071-1050. ; 12:11, s. 1-16
  • Journal article (peer-reviewed)abstract
    • Manufacturers worldwide are nowadays in pursuit of sustainability. In the Industry 4.0 era, it is a common practice to implement decentralized logistics areas, known as supermarkets, to achieve production sustainability via Just-in-Time material delivery at assembly lines. In this environment, manufacturers are commonly struggling with the Supermarket Location Problem (SLP), striving to efficiently decide on the number and location of supermarkets to minimize the logistics cost. To address this prevalent issue, this paper proposed a Simulated Annealing (SA) algorithm for minimizing the supermarket cost, via optimally locating supermarkets in assembly lines. The efficiency of the SA algorithm was tested by solving a set of test problems. In doing so, a holistic performance index, namely the total cost of supermarkets, was developed that included both shipment cost and the installation cost across the assembly line. The effect of workload balancing on the supermarket cost was also investigated in this study. For this purpose, the SLP was solved both before and after balancing the workload. The results of the comparison revealed that workload balancing could significantly reduce the total supermarket cost and contribute to the overall production and economic sustainability. It was also observed that the optimization of material shipment cost across the assembly line is the most influencing factor in reducing the total supermarket cost.
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10.
  • Foroughi, Behzad, et al. (author)
  • Determinants of continuance intention to use food delivery apps : findings from PLS and fsQCA
  • 2024
  • In: International Journal of Contemporary Hospitality Management. - : Emerald Group Publishing Limited. - 0959-6119 .- 1757-1049. ; 36:4, s. 1235-1261
  • Journal article (peer-reviewed)abstract
    • PurposeCustomers increasingly use food delivery applications (FDAs) to place orders. Despite the popularity of FDAs, limited research has investigated the drivers of the continuance intention to use FDAs. This study aims to uncover the drivers of the continuance intention to use FDAs by integrating the “technology continuance theory” (TCT) with perceived task-technology fit, perceived value and perceived food safety.Design/methodology/approachData were collected from 398 individuals in Thailand and evaluated using “partial least squares” (PLS) and “fuzzy-set qualitative comparative analysis” (fsQCA).FindingsThe PLS results supported the significance of all direct relationships, except the effects of perceived ease of use on attitude and perceived usefulness on continuance intention. Accordingly, perceived food safety positively moderated the impact of perceived ease of use on attitudes. The fsQCA uncovered seven solutions with various combinations of factors that predicted high continuance intention.Practical implicationsThis study enables food delivery apps to develop effective strategies for retaining users and sustaining financial performance.Originality/valueThis research contributes to the literature by investigating the factors underlying the continuous use of FDAs with a new PLS-fsQCA technique and applying TCT in a new technological context, FDAs and enriching it by adding three variables: perceived task-technology fit, perceived value and perceived food safety.
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11.
  • Foroughi, Behzad, et al. (author)
  • Determinants of continuance intention to use gamification applications for task management : an extension of technology continuance theory
  • 2023
  • In: Electronic library. - : Emerald Group Publishing Limited. - 0264-0473 .- 1758-616X. ; 41:2/3, s. 286-307
  • Journal article (peer-reviewed)abstract
    • PurposeGamification applications (apps) are gaining great attention in many contexts and have grown increasingly. Despite their significant role in many settings, prior research mainly focused on initial adoption, and there are limited studies on the post-adoption stage. This study aims to explore the factors influencing individuals' continuance intention to use gamified task manager apps, drawing on the technology continuance theory (TCT) by integrating enjoyment, habit and social influence. Design/methodology/approachData were obtained from 318 Malaysian who had prior experience with task management gamified apps and analysed with the partial least squares approach. FindingsAccording to the results, confirmation, perceived usefulness (PU) and enjoyment positively influence satisfaction. PU, enjoyment, satisfaction and social influence affect attitude, while the result failed to confirm the association between perceived ease of use and attitude. Furthermore, PU, attitude and habit are strong determinants of users' continuance intention. Moreover, continuance intention was not predicted by users' satisfaction and social influence. Practical implicationsThe findings provide directions for developers and marketers of gamified task manager apps. Besides the technological and functional benefits of applications, they should also consider social, hedonic and individual factors in the designing and marketing stages. Originality/valueThis study extends the literature by assessing the determinants of continuous intention to use gamified task manager apps; and extending the TCT in the context of gamification by incorporating three contextual factors, namely, perceived enjoyment, social influence and habit.
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12.
  • Foroughi, Behzad, et al. (author)
  • Determinants of followers' purchase intentions toward brands endorsed by social media influencers : Findings from PLS and fsQCA
  • 2024
  • In: Journal of Consumer Behaviour. - : John Wiley & Sons. - 1472-0817 .- 1479-1838. ; 23:2, s. 888-914
  • Journal article (peer-reviewed)abstract
    • Given the rise of marketing through social media influencers (SMIs), this study aimed to investigate the influences of source credibility and content validity factors on followers' attitudes and intention to purchase brands endorsed by SMIs through brand engagement and brand expected value. The study assessed the moderating effect of product-influencer congruency. Data were collected from 429 individuals in Iran and were assessed using the "partial least squares" (PLS) and "fuzzy-set qualitative comparative analysis" (fsQCA) approaches. PLS results affirmed the significance of all direct relationships except the role of entertainment value on brand engagement and informativeness value on brand expected value. Product-influencer congruence positively moderated the effects of trustworthiness and expertise on brand expected value. fsQCA identified five solutions with various combinations of elements that lead to high purchase intention. The results of performing fsQCA revealed that three factors, namely attractiveness, entertainment value, and attitude, are necessary to achieve high purchase intention. fsQCA results challenged the PLS findings, indicating the importance of using an asymmetric approach in conjunction with PLS. Our study provides valuable insight for marketing influencers and practitioners on the importance of source credibility and content value factors in enhancing the effectiveness of SMI marketing activities and persuading customers to purchase endorsed brands.
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13.
  • Foroughi, Behzad, et al. (author)
  • Determinants of intention to use autonomous vehicles : Findings from PLS-SEM and ANFIS
  • 2023
  • In: Journal of Retailing and Consumer Services. - : Elsevier. - 0969-6989 .- 1873-1384. ; 70
  • Journal article (peer-reviewed)abstract
    • Artificial intelligence (AI)-powered autonomous vehicles (AVs) are one of the most disruptive technologies with potentially wide-ranging social implications, including improvements in passenger/driver safety, environmental protection, and equity considerations. The current research extends the UTAUT2 model in the context of fully AVs (level 5 automation) to determine and rank determinants of intention to adopt AVs. Collected data from 378 respondents were analysed by a hybrid approach employing partial least squares (PLS) complemented by the Adaptive Neuro-Fuzzy Inference Systems (ANFIS) technique. According to the findings, five major determinants emerged: trust, hedonic motivation, social influence, compatibility, and effort expectancy. Furthermore, compatibility positively moderates the association between performance expectancy and intention to use AVs. The findings shed light on determinant factors, their level of importance, and the potential interplay between them in shaping individuals’ intention to adopt and use AVs. Furthermore, the current research provides valuable insights to carmakers, technology developers, and practitioners on determinants of AVs adoption, assisting them in devising effective AVs-related strategies.
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14.
  • Foroughi, Behzad, et al. (author)
  • Determinants of Intention to Use ChatGPT for Educational Purposes : Findings from PLS-SEM and fsQCA
  • 2023
  • In: International Journal of Human-Computer Interaction. - : Taylor & Francis. - 1044-7318 .- 1532-7590. ; , s. 1-20
  • Journal article (peer-reviewed)abstract
    • ChatGPT can revolutionize education by enhancing student engagement and making learning more personalized. Drawing on UTAUT2, this study investigated determinants of intention to use ChatGPT for educational purposes. Data were gathered from 406 Malaysian students and analyzed using a hybrid approach including “partial least squares” (PLS) and “fuzzy-set qualitative comparative analysis” (fsQCA). PLS showed that performance expectancy, effort expectancy, hedonic motivation, and learning value significantly influence the intention to use ChatGPT. Furthermore, we found that personal innovativeness and information accuracy negatively moderate the associations between ChatGPT use and its determinants. While PLS demonstrated that social influence, facilitating conditions, and habit do not affect ChatGPT use, fsQCA revealed that all factors might affect the intention to use ChatGPT. fsQCA suggested that eight combinations of factors may lead to high ChatGPT use. The results hold various implications for ChatGPT developers, instructors, and universities and provide insights for accelerating ChatGPT adoption.
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15.
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16.
  • Foroughi, Behzad, et al. (author)
  • Reuse intention of augmented reality apps : recreational consciousness as moderator
  • 2023
  • In: Service Industries Journal. - : Routledge. - 0264-2069 .- 1743-9507. ; , s. 1-42
  • Journal article (peer-reviewed)abstract
    • This study investigated the determinants of intention to reuse augmented reality (AR) apps. The data were obtained from 439 IKEA Place app users and evaluated using the ‘partial least squares’ (PLS) and ‘fuzzy-set qualitative comparative analysis’ (fsQCA) approaches. PLS findings revealed that AR attributes significantly influence perceived ease of use, perceived usefulness, and confirmation. All the relationships under the technology continuance theory were confirmed except for the impact of perceived usefulness on attitude. Recreational consciousness positively moderates the influence of attitude on reuse intentions. fsQCA approach uncovered seven configurations of variables that result in high reuse intentions and identified satisfaction as a necessary condition. The study contributed to the literature by (i) exploring the drivers of intention to reuse AR Apps, (ii) extending technology continuance theory, (iii) demonstrating the moderating influence of recreational consciousness, and (iv) using the PLS-fsQCA approach. The findings help develop strategies and design AR apps aimed at retaining users. 
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17.
  • Ghobakhloo, Morteza, et al. (author)
  • Actions and approaches for enabling Industry 5.0‐driven sustainable industrial transformation : A strategy roadmap
  • 2022
  • In: Corporate Social Responsibility and Environmental Management. - : John Wiley & Sons. - 1535-3958 .- 1535-3966. ; 30:3, s. 1473-1494
  • Journal article (peer-reviewed)abstract
    • Although Industry 4.0 was believed to promote sustainable development, it has ignored or misunderstood many prevailing sustainability concerns, which led to the emergence of the Industry 5.0 agenda. While the desirable sustainability values of Industry 5.0 are widely acknowledged, the knowledge of how this agenda can deliver sustainable transformation is lacking. The present study addresses this knowledge gap, explaining how Industry 5.0 transformation should be managed to facilitate sustainable development. Therefore, this study strives to model the underlying mechanism for enabling such transformation. The study conducted a content-centric review of the literature and identified 11 actions and approaches that serve as enablers of Industry 5.0 transformation. The study further conducted the interpretive structural modeling and structured the enablers as an interpretive model explaining steps needed for enabling Industry 5.0. Finally, the study developed the strategy roadmap for enabling Industry 5.0 transformation and sustainable development. Results emphasized stakeholder salience, highlighting the enabling role of stakeholder integration and collaboration in Industry 5.0 transformation. Proactive governmental support is the most driving enabler of Industry 5.0, whereas eco-innovation and sustainable value network reformation are among the most complex and hard-to-develop enablers. Results offer several implications for policymakers and practitioners, explaining the functionality of each approach and strategy necessary for Industry 5.0 transformation. The roadmap determines the sequential relationships among these approaches and strategies and identifies their optimal development sequence for enabling Industry 5.0 transformation synergistically. Results further identify the codependences among the Industry 5.0 transition enablers and highlight their interactions and complementarities.
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18.
  • Ghobakhloo, Morteza, et al. (author)
  • Behind the definition of Industry 5.0 : a systematic review of technologies, principles, components, and values
  • 2023
  • In: Journal of Insdustrial and Production Engineering. - : Taylor & Francis. - 2168-1015 .- 2168-1023. ; 40:6, s. 432-447
  • Journal article (peer-reviewed)abstract
    • This study addresses the emerging concept of Industry 5.0, which aims to tackle societal concerns associated with the ongoing digital industrial transformation. However, there is still a lack of consensus on the definition and scope of Industry 5.0, as well as limited understanding of its technological components, design principles, and intended values. To bridge these knowledge gaps, the study conducts a content-centric review of relevant literature and synthesizes evidence to develop an architectural design for Industry 5.0. The findings reveal that Industry 5.0 represents the future of industrial transformation, offering potential solutions to socio-economic and environmental issues that were inadequately addressed or exacerbated by Industry 4.0. The study provides managers, industrialists, and policymakers with a comprehensive overview of Industry 5.0, including its technological constituents, design principles, and smart components, emphasizing the importance of stakeholder involvement and integration for effective governance of digital industrial transformation within this framework.
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19.
  • Ghobakhloo, Morteza, et al. (author)
  • Beyond Industry 4.0 : a systematic review of Industry 5.0 technologies and implications for social, environmental and economic sustainability
  • 2024
  • In: Asia-Pacific Journal of Business Administration. - : Emerald Group Publishing Limited. - 1757-4323 .- 1757-4331.
  • Research review (peer-reviewed)abstract
    • Purpose: The study seeks to understand the possible opportunities that Industry 5.0 might offer for various aspects of inclusive sustainability. The study aims to discuss existing perspectives on the classification of Industry 5.0 technologies and their underlying role in materializing the sustainability values of this agenda. Design/methodology/approach: The study systematically reviewed Industry 5.0 literature based on the PRISMA protocol. The study further employed a detailed content-centric review of eligible documents and conducted evidence mapping to fulfill the research objectives. Findings: The advancement of Industry 5.0 is currently underway, with noteworthy initial contributions enriching its knowledge base. Although a unanimous definition remains lacking, diverse viewpoints emerge concerning the recognition of fundamental technologies and the potential for yielding sustainable outcomes. The expected contribution of Industry 5.0 to sustainability varies significantly depending on the context and the nature of underlying technologies. Practical implications: Industry 5.0 holds the potential for advancing sustainability at both the firm and supply chain levels. It is envisioned to contribute proportionately to the three sustainability dimensions. However, the current discourse primarily dwells in theoretical and conceptual domains, lacking empirical exploration of its practical implications. Originality/value: This study comprehensively explores diverse perspectives on Industry 5.0 technologies and their potential contributions to economic, environmental and social sustainability. Despite its promise, the practical evidence supporting the effectiveness of Industry 5.0 remains limited. Certain conditions are necessary to realize the benefits of Industry 5.0 fully, yet the mechanisms behind these conditions require further investigation. In this regard, the study suggests several potential areas for future research. 
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20.
  • Ghobakhloo, Morteza, et al. (author)
  • Blockchain technology as an enabler for sustainable business ecosystems : A comprehensive roadmap for socioenvironmental and economic sustainability
  • 2024
  • In: Business strategy and development. - : John Wiley & Sons. - 2572-3170. ; 7:1
  • Journal article (peer-reviewed)abstract
    • Blockchain technology is a core technology expected to play a highly instrumental role in competing with socioenvironmental challenges. The literature hypothesizes various blockchain functions for building a sustainable business ecosystem. This study unifies these diverse perspectives into an interpretive strategy roadmap that provides a holistic overview of how blockchain should be leveraged to deliver sustainability functions optimally. The study first identified the sustainability functions of blockchain through a content-centric literature review. The study applied interpretive structural modeling (ISM) and drew on experts' opinions to model how and in which order blockchain delivers these sustainability functions. The study further drew on the ISM output and interpretive logic-knowledge base to develop the promised roadmap. Results revealed that blockchain promotes a decentralized decision system that facilitates automation and real-time information sharing (RIS) across supply chains. Blockchain introduces traceability and transparency into supply chain operations. These conditions offer monitoring of business operations and the development of trust across value-chain stakeholders. These driver functions lead to value chain optimization and circularity integration into business and supply chain operations. When these necessary functional conditions are met, businesses can further draw on blockchain to promote economic and environmental aspects of sustainability through more complex functions enabling resource efficiency, cost reduction, pollution prevention, and higher profit margins. The order in which businesses can leverage these functions would define blockchain sustainability performance. Each function is uniquely valuable to sustainability, and none of them can be overlooked.
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21.
  • Ghobakhloo, Morteza, et al. (author)
  • Corporate survival in Industry 4.0 era : the enabling role of lean-digitized manufacturing
  • 2019
  • In: Journal of Manufacturing Technology Management. - : Emerald Group Publishing Limited. - 1741-038X .- 1758-7786. ; 31:1, s. 1-30
  • Journal article (peer-reviewed)abstract
    • purpose– The study demonstrates how small manufacturing firms can leverage their Information Technology (IT) resources to develop the lean-digitized manufacturing system that offers sustained competitiveness in the Industry 4.0 era.Design/methodology/approach – The study performs an in-depth 5-years case study of a manufacturing firm, and reports its journey from failure in the implementation of enterprise resource planning to its success in integrating IT-based technology trends of Industry 4.0 with the firm’s core capabilities and competencies while pursuing manufacturing digitization.Findings – Industry 4.0 transition requires the organizational integration of many IT-based modern technologies and the digitization of entire value chains. However, Industry 4.0 transition for smaller manufacturers can begin with digitization of certain areas of operations in support of organizational core strategies. Development of leandigitized manufacturing system is a viable business strategy for corporate survivability in the Industry 4.0 setting.Research limitations/implications – Although the implementation of lean-digitized manufacturing system is costly and challenging, this manufacturing strategy offers superior corporate competitiveness in the long run. Since this finding is rather limited to the present case study, assessing the business value of lean-digitized manufacturing system in a larger-scale research context would be an interesting avenue for future research.Practical implications – Industry 4.0 transition for typical manufacturers should commensurate with their organizational, operational, and technical particularities. Digitization of certain operations and processes, when aligned with the firm’s core strategies, capabilities, and procedures, can offer superior competitiveness even in Industry 4.0 era, meaning that the strategic plan for successful Industry 4.0 transition is idiosyncratic to each particular manufacturer.Social implications – Manufacturing digitization can have deep social implications as it alters inter and intra organizational relationships, causes unemployment among low-skilled workforce, and raises data security and privacy concerns. Manufacturers should take responsibility for their digitization process and steer it in a direction that simultaneously safeguards economic, social, and environmental sustainability.Originality/value – The strategic roadmap devised and employed by the case company for managing its digitization process can better reveal what manufacturing digitization, mandated by Industry 4.0, might require of typical manufacturers, and further enable them to better facilitate their digital transformation process.
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22.
  • Ghobakhloo, Morteza, et al. (author)
  • Generative artificial intelligence in manufacturing : opportunities for actualizing Industry 5.0 sustainability goals
  • 2024
  • In: Journal of Manufacturing Technology Management. - : Emerald Group Publishing Limited. - 1741-038X .- 1758-7786. ; 35:9, s. 94-121
  • Journal article (peer-reviewed)abstract
    • Purpose: This study offers practical insights into how generative artificial intelligence (AI) can enhance responsible manufacturing within the context of Industry 5.0. It explores how manufacturers can strategically maximize the potential benefits of generative AI through a synergistic approach. Design/methodology/approach: The study developed a strategic roadmap by employing a mixed qualitative-quantitative research method involving case studies, interviews and interpretive structural modeling (ISM). This roadmap visualizes and elucidates the mechanisms through which generative AI can contribute to advancing the sustainability goals of Industry 5.0. Findings: Generative AI has demonstrated the capability to promote various sustainability objectives within Industry 5.0 through ten distinct functions. These multifaceted functions address multiple facets of manufacturing, ranging from providing data-driven production insights to enhancing the resilience of manufacturing operations. Practical implications: While each identified generative AI function independently contributes to responsible manufacturing under Industry 5.0, leveraging them individually is a viable strategy. However, they synergistically enhance each other when systematically employed in a specific order. Manufacturers are advised to strategically leverage these functions, drawing on their complementarities to maximize their benefits. Originality/value: This study pioneers by providing early practical insights into how generative AI enhances the sustainability performance of manufacturers within the Industry 5.0 framework. The proposed strategic roadmap suggests prioritization orders, guiding manufacturers in decision-making processes regarding where and for what purpose to integrate generative AI.
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23.
  • Ghobakhloo, Morteza, et al. (author)
  • Industry 4.0 and opportunities for energy sustainability
  • 2021
  • In: Journal of Cleaner Production. - : Elsevier. - 0959-6526 .- 1879-1786. ; 295
  • Journal article (peer-reviewed)abstract
    • Understanding the interactions of Industry 4.0 and sustainability is a cutting-edge research topic. The present study aims to contribute to this research topic by explaining how Industry 4.0 may contribute to energy sustainability. The present study performs a content-centric qualitative review of the extant digitalization literature to identify the primary energy sustainability functions of Industry 4.0. The interpretive structural modeling technique is further used for mapping the interrelationships among various energy sustainability functions identified. The interpretive model developed, and the Matrice d'Impacts Croisés Multiplication Appliquée àun Classement analysis offered exciting insights into the Industry 4.0-energy sustainability interactions. Findings show that Industry 4.0 promotes energy sustainability via a very complex mechanism that involves ten interrelated functions. Contrary to the general opinion, production efficiency offered by the digitalization of the manufacturing industry is not the immediate and most essential energy efficiency outcome of the digital industrial transformation. Industry 4.0 primarily contributes to energy sustainability by enabling the energy industry to reshape its operating landscape and enjoy more advanced, intelligent, and complicated energy production and distribution equipment. The digitalization of the energy demand sector, digitalization of the manufacturing industry, and the introduction of smarter and more sustainable products are among the main opportunities of Industry 4.0 for energy sustainability. Overall, the study and the ISM model of energy sustainability developed explains how Industry 4.0 contributes to energy sustainability via different functions and how each function is placed within the structural model based on its driving and dependence powers.
  •  
24.
  • Ghobakhloo, Morteza, et al. (author)
  • Industry 4.0 and SME Development : The Case of a Middle Eastern Country
  • 2022. - 1
  • In: Industry 4.0 in SMEs Across the Globe. - Boca Raton : CRC Press. - 9781003165880 - 9780367761905 - 9780367761912 ; , s. 177-190
  • Book chapter (peer-reviewed)abstract
    • Globalization, market turbulence, and global crisis such as the COVID-19 pandemic push the manufacturing industry to rush towards automation, data-centricity, and greater interconnectivity under the ongoing digital industrial transformation known as Industry 4.0. Smaller manufactures worldwide strive to keep up with the digitalization race and secure sustainable competitiveness. Fierce competition and market turbulence force Middle Eastern manufacturers to make the most of the digitalization race. The present study reports on the Industry 4.0 digital transformation and development of small and medium-sized manufacturing enterprises in Iran, one of the most economically influential countries within the Middle East. Smaller manufacturers in Iran consider Industry 4.0 to improve productivity, operate in the data-driven economy, and increase business resilience. Although the implementation rate of generic digital technologies has been somewhat promising among Iranian manufacturers, the present report identifies significant barriers slowing the implementation rate of more advanced Industry 4.0 technologies such as predictive analytics and blockchain technology. Overall, Industry 4.0 transformation has provided Iranian manufacturing enterprises with meaningful opportunities and benefits. Nonetheless, smaller manufacturers cannot generally develop an all-inclusive strategic plan for navigating digitalization efforts. This issue, along with many other barriers such as resource scarcity, digitalization immaturity, and cybersecurity risks, has slowed down the digital transformation of the Iranian manufacturing industry.
  •  
25.
  • Ghobakhloo, Morteza, et al. (author)
  • Industry 4.0 digital transformation and opportunities for supply chain resilience : a comprehensive review and a strategic roadmap
  • 2023
  • In: Production planning & control (Print). - : Taylor & Francis. - 0953-7287 .- 1366-5871. ; , s. 1-31
  • Journal article (peer-reviewed)abstract
    • Despite interest in opportunities that Industry 4.0 offers for Supply Chain Resilience (SCR), little is known about the underlying mechanisms for such contributions. The study develops a roadmap that explains how supply chains can capitalize on Industry 4.0 SCR functions. The study conducted a content-centric literature review and identified 16 functions through which Industry 4.0 enhances SCR. Results reveal that the Industry 4.0 SCR functions identified are highly interrelated, and supply chain members should align their digitalization strategies with the sequence in which Industry 4.0 delivers these functions. Industry 4.0 contribution to SCR first involves delivering data-centric functions such as supply chain automation, information and communication quality, process monitoring, and visibility. Industry 4.0 further allows supply chain partners to collaborate better on improving supply chain mapping, complexity management, and innovation capabilities. Through these functions and by increasing transparency, flexibility, and agility of supply chain operations, Industry 4.0 delivers more dependent but consequential resilience functions such as supply chain responsiveness, adaptive capability, and continuity management. The roadmap further explains how each pair of Industry 4.0 SCR functions mutually interact while contributing to the overall resilience of the supply chain. The study discusses possible implications and outlines important avenues for future research.
  •  
26.
  • Ghobakhloo, Morteza, et al. (author)
  • Industry 4.0 ten years on : A bibliometric and systematic review of concepts, sustainability value drivers, and success determinants
  • 2021
  • In: Journal of Cleaner Production. - : Elsevier. - 0959-6526 .- 1879-1786. ; 302
  • Research review (peer-reviewed)abstract
    • The fourth industrial revolution, known as Industry 4.0, and the underlying digital transformation, is a cutting-edge research topic across various disciplines. Industry 4.0 literature is growing exponentially, overexpanding the current understanding of the digital industrial revolution through thousands of academic publications. This unprecedented growth calls for a systematic review of the concept, scope, definition, and functionality of Industry 4.0. Such systematic review should address the existing ambiguities and deliver a clear, comprehensive, and up-to-date overview of this phenomenon, including the possible implications for sustainability. Consistently, the present study carried out a systematic literature review of related articles, published online within the Industry 4.0 discipline until November 2020. The systematic literature review identified 745 eligible articles and applied extensive qualitative and quantitative data analysis methodically. The study provides a descriptive assessment of eligible articles’ properties and offers a unified conceptualization of Industry 4.0 and the underlying building blocks. The study explains how the implications of Industry 4.0 for value creation expand beyond the manufacturing industry. The study further describes the sustainability value drivers of the fourth industrial revolution and identifies the conditions on which digital industrial transformation success lays. Overall, findings reveal that Industry 4.0 transformation could address pressing issues of sustainable development goals, particularly concerning the manufacturing-economic development. The study also draws on the findings and offers important theoretical and practical implications, highlights the existing gaps within the literature, and discusses the possible future research directions.
  •  
27.
  • Ghobakhloo, Morteza, et al. (author)
  • Industry 5.0 implications for inclusive sustainable manufacturing : An evidence-knowledge-based strategic roadmap
  • 2023
  • In: Journal of Cleaner Production. - : Elsevier BV. - 0959-6526 .- 1879-1786. ; 417
  • Journal article (peer-reviewed)abstract
    • Despite the hype surrounding Industry 5.0 and its importance for sustainability, the micro-mechanisms through which this agenda can lead to socio-environmental values are largely understudied. The present study strived to address this knowledge gap by developing a strategic roadmap that outlines how Industry 5.0 can boost sustainable manufacturing. The study first conducted a content-centric literature review and identified 12 functions through which Industry 5.0 can inclusively boost sustainable manufacturing. The study further developed a strategic roadmap that identified the complex contextual relationships among the functions and explained how they should be synergistically leveraged to maximize their contribution to sustainability. Results reveal that value network integration, sustainable technology governance, sustainable business model innovation, and sustainable skill development are the most driver and tangible implications of Industry 5.0 for sustainable manufacturing. Alternatively, renewable integration and manufacturing resilience are among the most dependent and hard-to-reach sustainable functions of Industry 5.0, and their materialization requires major strategic collaboration among stakeholders. The strategic roadmap outlines how Industry 5.0 stakeholders can leverage the technological and functional constituents of this agenda to promote sustainable manufacturing inclusively.
  •  
28.
  • Ghobakhloo, Morteza, et al. (author)
  • Intelligent automation implementation and corporate sustainability performance : The enabling role of corporate social responsibility strategy
  • 2023
  • In: Technology in society. - : Elsevier BV. - 0160-791X .- 1879-3274. ; 74
  • Journal article (peer-reviewed)abstract
    • Although Intelligent Automation (IA) represents the future of business automation, the organizational imple-mentation and sustainability performance of this emerging technological innovation is vastly understudied. Understanding the implications of IA for sustainability is critical since leveraging these technologies shapes operations and policies that can promote sustainable digitalization and automation practices. We study how firms' technological, organizational, environmental, and human resource contexts impact IA implementation. The study further explains how IA may associate with the firm's triple bottom line while accounting for the moderating role of corporate social responsibility strategy. The study surveyed 207 multinational firms in 2022 and used partial least square-structural equation modeling to test the hypothesized relationships. Results showed that IA implementation is mainly determined by the characteristics of the firm's internal environment, such as absorptive capacity, employee socio-behavioral concerns, and social capital competency. IA may offer valuable opportunities for boosting the firm's economic and environmental sustainability performance. Nonetheless, IA is a double-edged sword for social sustainability, harming social values in implementing firms with informal corporate social sustainability strategies. Conversely, firms with formal corporate social sustainability strategy have a significantly higher opportunity to transform the value of IA into social sustainability performance. Findings are expected to assist managers and decision-makers with streamlining an impartial and sustainable transition of organizations toward automation.
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29.
  • Ghobakhloo, Morteza, et al. (author)
  • Lean-green manufacturing : the enabling role of information technology resource
  • 2018
  • In: Kybernetes. - : Emerald Group Publishing Limited. - 0368-492X .- 1758-7883. ; 47:9, s. 1752-1777
  • Journal article (peer-reviewed)abstract
    • Purpose – The purpose of this paper is to contribute to the existing knowledge about the relationships between information technology (IT), lean manufacturing (LM), organizational environmental issues and business performance.Design/methodology/approach – A questionnaire-based survey was conducted to collect data from 122 elite manufacturers, and the hypothesized relationships were tested using partial least squares structural equation modeling. Findings – IT competence in LM acts as a lower-order organizational capability, and its business value should be recognized through the intermediate roles of LM effectiveness and environmental management capability. Findings recommend that the net benefits of LM are mainly materialized through waste and pollution reduction and simplified implementation of proactive environmental practices.Research limitations/implications – Among other limitations, relying on a rather small sample size and cross-sectional data of this research, and lack of generalizability of findings, tends to have certain limitations. An interesting direction for future research would be to extend this research by assessing interaction of other types of IT resources with LM and organizational environmental issues.Practical implications – Both LM and proactive environmental management are information-intensive. Investment in both technological and human aspects of IT resource aimed at increasing the effectiveness of LM activities and proactive environmental practices is imperative for contemporary manufacturers.Originality/value – This study introduces the IT capability of IT competence in LM and two organizational capabilities of LM effectiveness and environmental management capability. By doing so, the study highlights the significant role of organizational environmental issues in devising firms’ IT and advanced manufacturing technology investment strategies in LM context.
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30.
  • Ghobakhloo, Morteza, et al. (author)
  • Modeling lean manufacturing success
  • 2018
  • In: Journal of Modelling in Management. - : Emerald Group Publishing Limited. - 1746-5664 .- 1746-5672. ; 13:4, s. 908-931
  • Journal article (peer-reviewed)abstract
    • Purpose – The purpose of this study is to contribute to the existing knowledge about the process ofachieving Lean Manufacturing (LM) success.Design/methodology/approach – This study uses interpretive structural modeling and captures theopinions of a group of LM experts from a world-class Japanese automobile manufacturer, to map theinterrelationships among potential determinants of LM success. This study further uses the data from asurvey of 122 leading automobile part manufacturers by performing structural equation modeling toempirically test the research model proposed.Findings – Management support and commitment, financial resources availability, information technologycompetence for LM, human resources management, production process simplicity, supportive culture andsupply chain-wide integration are the key determinants that directly or indirectly determine the level ofachievement of LMsuccess.Research limitations/implications – The determinants of LM success as experienced by Asianautomobile manufacturers might be different from determinants of LM success as experienced byWestern automobile manufacturers. An interesting direction for future research would be to capturethe experts’ inputs from Western automobile manufacturers to complement the findings of thisstudy.Practical implications – The practical contribution of this study lays in the development of linkagesamong various LM success determinants. Utility of the proposed interpretive structural modeling andstructural equation modeling methodologies imposing order, direction and significance of therelationships among elements of LM success assumes considerable value to the decision-makers and LMpractitioners.Originality/value – Building on opinions of a group of LM experts and a case study of leading auto partmanufacturers, the present study strives to model the success of LM, a topic that has received little attentionto date.
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31.
  • Ghobakhloo, Morteza, et al. (author)
  • Modeling the Success of Application-Based Mobile Banking
  • 2019
  • In: Economies. - : MDPI. - 2227-7099 .- 2227-7099. ; 7:4, s. 1-21
  • Journal article (peer-reviewed)abstract
    • The present study addresses the issue of mobile banking customer retention by developing and empirically testing a theoretical model that describes the way mobile banking success is achieved. The data collection process was conducted via a web-based questionnaire survey through which 402 usable responses from users of application-based mobile banking services were collected. The data collected were further analyzed via covariance-based structural equation modeling. Results indicate that application-based mobile banking success can be defined in terms of the favorable attitude toward and repeated use of mobile banking applications. Experienced advantage, user satisfaction, and post-use trust toward mobile banking applications are among the critical enablers of application-based mobile banking success. The findings of this research can enable academicians and practitioners, banks, and financial institutions, in particular, to devise the mechanism through which the success of application-based mobile banking services can be facilitated.
  •  
32.
  • Iranmanesh, Mohammad, et al. (author)
  • Effects of supply chain transparency, alignment, adaptability, and agility on blockchain adoption in supply chain among SMEs
  • 2023
  • In: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 176
  • Journal article (peer-reviewed)abstract
    • This study aims to investigate the extent to which the contributions of blockchain technology to supply chain parameters influence blockchain adoption among SMEs. Drawing on contingency theory, the study investigates the moderating effect of market turbulence. The data were collected from 204 SMEs in Malaysia’s manufacturing sector and analysed using the partial least squares technique. The results showed that the intention of SMEs’ managers to adopt blockchain is influenced by the contributions of blockchain to supply chain transparency and agility. Supply chain transparency, alignment, adaptability, and agility are interrelated. Market turbulence moderates positively the association between agility and intention to adopt blockchain. This study extends the literature by decomposing the concept of relative advantages and investigating the influences of blockchain benefits on blockchain adoption. The moderating effect of market turbulence indicates that the influence of blockchain on agility is more important for SMEs operating in a turbulent environment than the SMEs in a stable market. The findings help the policymakers and blockchain vendors in developing effective plans and strategies to speed up the adoption of blockchain among SMEs. Furthermore, the results give confidence to the managers and owners of SMEs that blockchain can be a valuable competitive advantage source.
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33.
  • Iranmanesh, Mohammad, et al. (author)
  • Factors influencing attitude and intention to use autonomous vehicles in Vietnam : findings from PLS-SEM and ANFIS
  • 2023
  • In: Information Technology and People. - : Emerald Group Publishing Limited. - 0959-3845 .- 1758-5813.
  • Journal article (peer-reviewed)abstract
    • PurposeThis study aims to explore and ranks the factors that might determine attitudes and intentions toward using autonomous vehicles (AVs).Design/methodology/approachThe “technology acceptance model” (TAM) was extended by assessing the moderating influences of personal-related factors. Data were collected from 378 Vietnamese and analysed using a combination of “partial least squares” and the “adaptive neuro-fuzzy inference system” (ANFIS) technique.FindingsThe findings demonstrated the power of TAM in explaining the attitude and intention to use AVs. ANFIS enables ranking the importance of determinants and predicting the outcomes. Perceived ease of use and attitude were the most crucial drivers of attitude and intention to use AVs, respectively. Personal innovativeness negatively moderates the influence of perceived ease of use on attitude. Data privacy concerns moderate positively the impact of perceived usefulness on attitude. The moderating effect of price sensitivity was not supported.Practical implicationsThese findings provide insights for policymakers and automobile companies' managers, designers and marketers on driving factors in making decisions to adopt AVs.Originality/valueThe study extends the AVs literature by illustrating the importance of personal-related factors, ranking the determinants of attitude and intention, illustrating the inter-relationships among AVs adoption factors and predicting individuals' attitudes and behaviours towards using AVs.
  •  
34.
  • Khanfar, Ahmad A. A., et al. (author)
  • Applications of Blockchain Technology in Sustainable Manufacturing and Supply Chain Management : A Systematic Review
  • 2021
  • In: Sustainability. - : MDPI. - 2071-1050. ; 13:14, s. 1-20
  • Research review (peer-reviewed)abstract
    • Developing sustainable products and processes is essential for the survival of manufacturers in the current competitive market and the industry 4.0 era. The activities of manufacturers andtheir supply chain partners should be aligned with sustainable development goals. Manufacturershave faced many barriers and challenges in implementing sustainable practices along the entiresupply chain due to globalisation, outsourcing, and offshoring. Blockchain technology has thepotential to address the challenges of sustainability. This study aims to explain the applications ofblockchain technology to sustainable manufacturing. We conducted a systematic literature reviewand explained the potential contributions of blockchain technology to the economic, environmental,and social performances of manufacturers and their supply chains. The findings of the study extendour understanding of the blockchain applications in sustainable manufacturing and sustainablesupply chains. Furthermore, the study explains how blockchain can influence the sustainable performance of manufacturers by creating transparency, traceability, real-time information sharing, andsecurity of the data capabilities.
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35.
  • Mahmoodi, Ehsan, et al. (author)
  • A framework for throughput bottleneck analysis using cloud-based cyber-physical systems in Industry 4.0 and smart manufacturing
  • 2024
  • In: Procedia Computer Science. - : Elsevier. - 1877-0509. ; 232, s. 3121-3130
  • Journal article (peer-reviewed)abstract
    • The performance of a production system is primarily evaluated by its throughput, which is constrained by throughput bottlenecks. Thus, bottleneck analysis (BA), encompassing bottleneck identification, diagnosis, prediction, and prescription, is a crucial analytical process contributing to the success of manufacturing industries. Nevertheless, BA requires a substantial quantity of information from the manufacturing system, making it a data-intensive task. Based on the dynamic nature of bottlenecks, the optimal strategy for BA entails making well-informed decisions in real-time and executing necessary modifications accordingly. The efficient implementation of BA requires gathering, storing, analyzing, and illustrating data from the shop floor. Utilizing Industry 4.0 technologies, such as cyber-physical systems and cloud technology, facilitates the execution of data-intensive operations for the successful management of BA in real-world settings. The main objective of this study is to establish a framework for BA through the utilization of Cloud-Based Cyber-Physical Systems (CB-CPSs). First, a literature review was conducted to identify relevant research and current applications of CB-CPSs in BA. Using the results of the review, a CB-CPSs framework was subsequently introduced for BA. The application of the framework was assessed via simulation in a real-world manufacturer of marine engines. The findings indicate that the implementation of CB-CPSs can contribute significantly to throughput improvement. 
  •  
36.
  • Mahmoodi, Ehsan, et al. (author)
  • Data-driven simulation-based decision support system for resource allocation in industry 4.0 and smart manufacturing
  • 2024
  • In: Journal of manufacturing systems. - : Elsevier. - 0278-6125 .- 1878-6642. ; 72, s. 287-307
  • Journal article (peer-reviewed)abstract
    • Data-driven simulation (DDS) is fundamental to analytical and decision-support technologies in Industry 4.0 and smart manufacturing. This study investigates the potential of DDS for resource allocation (RA) in high-mix, low-volume smart manufacturing systems with mixed automation levels. A DDS-based decision support system (DDS-DSS) is developed by incorporating two RA strategies: simulation-based bottleneck analysis (SB-BA) and simulation-based multi-objective optimization (SB-MOO). To enhance the performance of SB-MOO, a unique meta-learning mechanism featuring memory, dynamic orthogonal array, and learning rate is integrated into the NSGA-II, resulting in a modified version of the NSGA-II with meta-learning (i.e., NSGA-II-ML). The proposed DSS also benefits from a post-optimality analysis that leverages a clustering algorithm to derive actionable insights. A real-life marine engine manufacturing application study is presented to demonstrate the applicability and exhibit efficacy of the proposed DSS and NSGA-II-ML. To this aim, NSGA-II-ML was tested against the original NSGA-II and differential evolution (DE) algorithm across a set of test problems. The results revealed that NSGA-II-ML surpassed the other two in terms of the number of non-dominated solutions and hypervolume, particularly in medium and large-sized problems. Furthermore, NSGA-II-ML achieved a 24% improvement in the best throughput found in the real case problem, outperforming SB-BA, NSGA-II, and DE. The post-optimality analysis led to the extraction of valuable knowledge about the key, influencing decision variables on the throughput.
  •  
37.
  • Mahmoodi, Ehsan, et al. (author)
  • The impact of Industry 4.0 on bottleneck analysis in production and manufacturing : Current trends and future perspectives
  • 2022
  • In: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 174
  • Research review (peer-reviewed)abstract
    • Bottleneck analysis, known as one of the essential lean manufacturing concepts, has been extensively researched in the literature. Recently, there has been a move towards using new Industry 4.0-based concepts and technologies in the development of bottleneck analysis. However, the interrelations between bottleneck analysis and Industry 4.0 have not been studied thoroughly. The present study addresses this gap and performs a systematic literature review on articles available in major scientific databases (i.e., Web of Science and Scopus) to investigate the impact of Industry 4.0 on the advancement of bottleneck analysis in production and manufacturing. Bibliometric analysis and content review were performed to extract the quantitative and qualitative data. Results revealed that only five out of 15 design principles and five out of eleven technologies of Industry 4.0 were addressed previously in developing bottleneck analysis methods. In addition to highlighting the existing gaps in the literature and proposing topics for future research, several potential development streams are proposed by studying the design principles and technologies of Industry 4.0, which have not been considered in bottleneck analysis before.
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38.
  • Masoomi, Behzad, et al. (author)
  • Do industry 5.0 advantages address the sustainable development challenges of the renewable energy supply chain?
  • 2023
  • In: Sustainable Production and Consumption. - : Elsevier. - 2352-5509. ; 43, s. 94-112
  • Journal article (peer-reviewed)abstract
    • Scholars assert that the fifth industrial revolution has the potential to go beyond Industry 4.0's efficiency and advance supply chain objectives for sustainable development, including adaptability, a human-centered orientation, and the durability of social and environmental issues. According to Industry 5.0-based solution methodologies, sustainable development challenges (SDCs) can be addressed in the renewable energy supply chain (solar energy). This study provides a distinct set of 23 SDCs and 19 Industry 5.0 advantages. Moreover, A hybrid fuzzy best worst method and fuzzy weighted aggregated sum product assessment technique are utilized in the renewable energy supply chain context. To determine the weight of SDCs, preliminary data are gathered based on experts' opinions. The outcomes indicate that the most significant SDCs in the renewable energy supply chain are “non-consideration of human factors,” “Inadequate regulation and implementation of environmental standards,” “Commitment of inadequate management for adopting sustainability,” “non-uniform alignment of sustainability, organization,” and “goal and customer expectation.” For overcoming the SDCs, “supply chain modularity,” “research and innovation in social and human problems,” and “building safer and more complicated hyper-connected networks” are the most prominent Industry 5.0 advantages. The study findings will give the most critical advantages for creating sustainability in the continued industry expansion–society engagement and more sustainable renewable energy supply chain, as well as creating a more resilient energy industry and society.
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39.
  • Ng, Tan Ching, et al. (author)
  • The Application of Industry 4.0 Technological Constituents for Sustainable Manufacturing : A Content-Centric Review
  • 2022
  • In: Sustainability. - : MDPI. - 2071-1050. ; 14:7, s. 1-21
  • Research review (peer-reviewed)abstract
    • Industry 4.0 has been associated with the rise of disruptive intelligence and informationtechnologies. These cutting-edge technologies have the potential to increase productivity whilesimultaneously having a significant impact on social and environmental sustainability. As a result,manufacturers must evaluate the role of these innovative technologies in sustainable development,as these technologies have the potential to address prevalent sustainability issues. A content-centricstudy of the implementation of these Industry 4.0 cutting-edge technologies in sustainable manufacturing is currently absent. A systematic literature study was conducted to explain the potentialcontribution of these novel technologies to the economic, social, and environmental dimensions ofmanufacturing industries. This study describes how these cutting-edge technologies are used insustainable manufacturing. The findings of this study are particularly beneficial to practitioners whoseek to apply one or more digital technologies to sustainable development.
  •  
40.
  • Nourmohammadi, Amir, et al. (author)
  • A water-flow like algorithm for solving U-shaped assembly line balancing problems
  • 2019
  • In: IEEE Access. - : Institute of Electrical and Electronics Engineers. - 2169-3536. ; 7, s. 129824-129833
  • Journal article (peer-reviewed)abstract
    • The problem of assigning assembly tasks to the stations arranged along a material handling device is known as assembly line balancing. This paper aims to address the U-shaped assembly line balancing problem (UALBP) which arises when a U-shaped assembly line has to be configured. It is widely known that this problem is NP-hard. Accordingly, different meta-heuristics based on a single solution (such as Simulated Annealing) or a population of solutions (such as Genetic Algorithms) have been proposed in the literature. Meanwhile, it has been argued that either of these meta-heuristics with a fixed number of solutions cannot maintain efficient search progress and thus can lead to premature convergence. Thus, this study aims at adopting a novel meta-heuristic algorithm with dynamic population sizes, namely Water Flow-like Algorithm (WFA), inspired by the behaviour of water flows in nature, to address the UALBP. The line efficiency and variation of workload are considered as the primary and the secondary objective, to be optimized, respectively. To verify the efficiency and robustness of the proposed WFA, a real case study taken from an automobile manufacturer as well as a set of standard problems are solved and the results compared with the existing approaches in the literature. The computational results demonstrate the superiority of the WFA, particularly in addressing medium to large-sized problems.
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41.
  • Senali, Madugoda Gunaratnege, et al. (author)
  • Determinants of trust and purchase intention in social commerce : Perceived price fairness and trust disposition as moderators
  • 2024
  • In: Electronic Commerce Research and Applications. - : Elsevier. - 1567-4223 .- 1873-7846. ; 64
  • Journal article (peer-reviewed)abstract
    • The study investigates the determinants of trust in sellers and products and purchase intention in the social commerce (s-commerce) context by considering the moderating effects of trust disposition and perceived price fairness. The data were collected from 416 individuals who have followed at least one seller on Instagram and analysed using the Partial Least Squares (PLS) approach. The findings revealed that review quantity, review quality, perceived symmetric product information, and responsiveness positively influence trust in seller. The direct influence of review quality on trust in products was confirmed. Trust disposition negatively moderates the impacts of review quality on trust in sellers and responsiveness on trust in products. Furthermore, perceived price fairness positively moderates the influence of trust in sellers and products on purchase intention. The findings extend the literature on s-commerce in several ways. The findings enable s-commerce sellers to formulate effective marketing strategies and boost purchase intention.
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42.
  • Shaharudin, Mohd Rizaimy, et al. (author)
  • The impact of supply chain integration on reverse supply chain adoption
  • 2022
  • In: Kybernetes. - : Emerald Group Publishing Limited. - 0368-492X .- 1758-7883. ; 52:11, s. 5730-5751
  • Journal article (peer-reviewed)abstract
    • PurposeThe aim of this study is to investigate the impact of integration capabilities on reverse supply chain (RSC) adoption and, consequently, RSCs' effectiveness. Thus, supply chain (SC) integration capabilities and their types in relation to internal, supplier and customer integration capabilities are investigated.Design/methodology/approachIn this paper a quantitative survey was conducted with Malaysian manufacturers with a certified the International Organization for Standardization (ISO) 14001 environmental management system. The entire population was utilized through census sampling; 150 useable survey responses were received. The partial least squares technique was used for the data analysis.FindingsThe results indicate that internal integration improves external integration. In addition, supplier and customer integration have a positive direct effect on the adoption of RSC activities. Though internal integration has no significant direct effect on the adoption of RSC activities, it has an indirect impact through both supplier integrative capabilities and customer integrative capabilities.Practical implicationsThe findings of this study suggest that the managers of manufacturers whose internal integrative capabilities are the base and whose SC integrative capabilities and external integrative capabilities are reinforcing SC integrative capabilities should adopt RSC activities.Originality/valueThe paper offers in-depth insight into this issue and has shed light on the ambiguities in the literature regarding the role of SC integration in RSC adoption.
  •  
43.
  • Tirkolaee, Erfan Babaee, et al. (author)
  • Integrated design of a sustainable waste management system with co-modal transportation network : A robust bi-level decision support system
  • 2024
  • In: Journal of Cleaner Production. - : Elsevier. - 0959-6526 .- 1879-1786. ; 449
  • Journal article (peer-reviewed)abstract
    • Efficient waste management practices play a critical role in addressing the acute challenges of environmental protection, public health and resource conservation. A well-designed system guarantees that waste is efficiently collected, treated and disposed while minimizing negative impacts on ecosystems and human well-being. This work presents a robust bi-level decision support system to establish a sustainable waste management system using a co -modal transportation network to treat municipal solid waste timely and efficiently. Consequently, two integrated multi-objective mathematical models are developed to formulate the problem. Configuring the municipal solid waste network in the first level of the suggested decision support system, the transportation network is designed in the second level taking into account non-identical modes. The objectives are to minimize total cost and total emission in both levels, while maximization of total job creation is also addressed in the first level. Robust optimization method and weighted goal programming method are then utilized to accommodate the developed decision support system against uncertainty and multi-objectiveness, respectively. To validate the efficiency of these methods, they are assessed against possibilistic linear programming technique and Lp-metric approach with the help of simple additive weighting (SAW) method, respectively. Eventually, several numerical examples are generated based on the benchmarks given in the literature, which are then tackled using CPLEX solve to appraise the applicability and complexity of the developed methodology. The findings reveal the efficacy of the decision support system in terms of finding solutions in less than 448 s on average. Finally, sensitivity analyses are performed to draw out useful practical implications and decision aids.
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44.
  • Torres de Oliveira, Rui, et al. (author)
  • Industry 4.0 towards social and environmental sustainability in multinationals : Enabling circular economy, organizational social practices, and corporate purpose
  • 2023
  • In: Journal of Cleaner Production. - : Elsevier. - 0959-6526 .- 1879-1786. ; 430
  • Journal article (other academic/artistic)abstract
    • The advent of Industry 4.0 (I4.0) technologies has ushered in a transformative era for multinational enterprises (MNEs), propelling them toward a future characterized by social and environmental sustainability. In this introductory piece for our special issue, we explore the intersection of I4.0, circular economy principles, organizational social practices, and corporate purpose within MNEs. By amalgamating these concepts, this research delves into the synergistic potential of I4.0 technologies to drive the transition towards sustainable business models. It also explores the pivotal role of organizational social practices in shaping ethical dimensions and fostering corporate cultures that prioritize social responsibility, employee wellbeing, and stakeholder engagement. The findings of this study have implications for academia, policy, and industry. Scholars will gain a nuanced understanding of the multifaceted dynamics shaping sustainable practices in the context of I4.0, while practitioners and policy-makers receive actionable insights for fostering socially responsible and environmentally conscious strategies within MNEs. As the global community grapples with pressing social and environmental challenges, this research serves as a beacon, guiding multinationals toward a future where technological innovation converges with social and environmental stewardship, thereby catalyzing a paradigm shift toward a more sustainable and equitable world.
  •  
45.
  • Yadegaridehkordi, Elaheh, et al. (author)
  • Determinants of environmental, financial, and social sustainable performance of manufacturing SMEs in Malaysia
  • 2023
  • In: Sustainable Production and Consumption. - : Elsevier. - 2352-5509. ; 35, s. 129-140
  • Journal article (peer-reviewed)abstract
    • Discovering the determinants of firm sustainable performance from the Small and Medium-sized Enterprises (SMEs) perspectives is essential. However, few studies have empirically examined all three environmental, financial, and social pillars of sustainable performance into a single research framework in the context of emerging economies like Malaysia. Drawing on the resource-based view and institutional theory, this study identified the determinants of environment, financial, and social sustainable performance of manufacturing SMEs. Data was collected from 209 Malaysian manufacturing firms. A hybrid approach of structural equation modeling (SEM) - artificial neural network (ANN) was used to assess the hypotheses and predict the level of their importance toward sustainable performance. Results showed that green entrepreneurial orientation, green innovation, leadership commitment, stakeholder pressure, and market orientation positively and significantly influenced social performance. Environmental performance was predicted by green entrepreneurial orientation, green innovation, leadership commitment, and market orientation. Green entrepreneurial orientation and market orientation demonstrated a positive influence on financial performance. Results of ANN showed that leadership commitment is the most significant factor influencing environmental and social performance while green entrepreneurial orientation is the first ranked factor predicting financial performance. These findings extend the knowledge by shedding light on the determinants of SMEs' sustainable performance. The study enables SMEs to take proper actions in response to sustainability development. Besides, the findings assist practitioners and policymakers in setting effective plans by giving more attention to leadership commitment and green entrepreneurial orientation as the most significant determinants.
  •  
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