| 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 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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| 3. |
- Ghobakhloo, Morteza, et al.
(författare)
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Intelligent automation implementation and corporate sustainability performance : The enabling role of corporate social responsibility strategy
- 2023
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Ingår i: Technology in society. - : Elsevier BV. - 0160-791X .- 1879-3274. ; 74
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Tidskriftsartikel (refereegranskat)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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| 4. |
- 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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| 5. |
- 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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