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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.

AbstractAlthough 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.

AbstractGiven 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.