| 1. |
- Foroughi, Behzad, et al.
(författare)
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Determinants of continuance intention to use food delivery apps : findings from PLS and fsQCA
- 2024
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Ingår i: International Journal of Contemporary Hospitality Management. - : Emerald Group Publishing Limited. - 0959-6119 .- 1757-1049. ; 36:4, s. 1235-1261
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Tidskriftsartikel (refereegranskat)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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| 2. |
- Foroughi, Behzad, et al.
(författare)
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Determinants of followers' purchase intentions toward brands endorsed by social media influencers : Findings from PLS and fsQCA
- 2024
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Ingår i: Journal of Consumer Behaviour. - : John Wiley & Sons. - 1472-0817 .- 1479-1838. ; 23:2, s. 888-914
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Tidskriftsartikel (refereegranskat)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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| 3. |
- Foroughi, Behzad, et al.
(författare)
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Determinants of intention to use autonomous vehicles : Findings from PLS-SEM and ANFIS
- 2023
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Ingår i: Journal of Retailing and Consumer Services. - : Elsevier. - 0969-6989 .- 1873-1384. ; 70
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Tidskriftsartikel (refereegranskat)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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| 4. |
- Ghane, Mostafa, et al.
(författare)
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Enhanced decision tree induction using evolutionary techniques for Parkinson's disease classification
- 2022
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Ingår i: Biocybernetics and Biomedical Engineering. - : Elsevier BV. - 0208-5216. ; 42:2, s. 902-920
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Tidskriftsartikel (refereegranskat)abstract
- The diagnosis of Parkinson's disease (PD) is important in neurological pathology for appropriate medical therapy. Algorithms based on decision tree induction (DTI) have been widely used for diagnosing PD through biomedical voice disorders. However, DTI for PD diagnosis is based on a greedy search algorithm which causes overfitting and inferior solutions. This paper improved the performance of DTI using evolutionary-based genetic algorithms. The goal was to combine evolutionary techniques, namely, a genetic algorithm (GA) and genetic programming (GP), with a decision tree algorithm (J48) to improve the classification performance. The developed model was applied to a real biomedical dataset for the diagnosis of PD. The results showed that the accuracy of the J48, was improved from 80.51% to 89.23% and to 90.76% using the GA and GP, respectively.
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| 5. |
- Ghobakhloo, Morteza, et al.
(författare)
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Actions and approaches for enabling Industry 5.0‐driven sustainable industrial transformation : A strategy roadmap
- 2022
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Ingår i: Corporate Social Responsibility and Environmental Management. - : John Wiley & Sons. - 1535-3958 .- 1535-3966. ; 30:3, s. 1473-1494
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Tidskriftsartikel (refereegranskat)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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| 6. |
- Iranmanesh, Mohammad, et al.
(författare)
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Factors influencing attitude and intention to use autonomous vehicles in Vietnam : findings from PLS-SEM and ANFIS
- 2023
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Ingår i: Information Technology and People. - : Emerald Group Publishing Limited. - 0959-3845 .- 1758-5813.
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Tidskriftsartikel (refereegranskat)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.
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| 7. |
- Yadegaridehkordi, Elaheh, et al.
(författare)
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Determinants of environmental, financial, and social sustainable performance of manufacturing SMEs in Malaysia
- 2023
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Ingår i: Sustainable Production and Consumption. - : Elsevier. - 2352-5509. ; 35, s. 129-140
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Tidskriftsartikel (refereegranskat)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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