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Purpose
The quality of people life and efficiency of banks can be improved by mobile banking (m-banking). The long-term success of m-banking depends on its constant use. The purpose of this paper is to investigate the determinants of m-banking continuance intention to use, using the technology continuance theory (TCT) by including the self-efficacy and channel preference.


Design/methodology/approach
Empirical data from 369 Malaysian users who had prior experience with mobile banking were analysed, using partial least squares technique.


Findings
The results confirmed that the TCT model had a high exploratory power in explaining users' perceived usefulness (PU), satisfaction, attitude and intentions to continue to use m-banking. Furthermore, self-efficacy and channel importance were important drivers of continuance intention in the context of m-banking. According to the results, perceived ease of use has no effect on PU and attitude in the post-adoption stage.


Practical implications
The findings help bank managers to understand the importance of meeting customers' needs and expectations as a prerequisite in enhancing their satisfaction and favourable attitude towards m-banking and consequently their continuance intention.


Originality/value
Based on the TCT model, this study contributes to the limited body of research on continuance intention to use m-banking. Furthermore, self-efficacy and channel preferences were added to the TCT model and the results confirmed the importance of enriching the TCT model to explain continuance intention to use information systems by adding contextual factors.

AbstractDrawing on signaling theory, this research aims to examine the impact of brands' Facebook page characteristics (information variety, information currency, and responsiveness) and followers' comments on building trust and its consequent effect on purchase intention by considering attractiveness of alternatives as a moderator. Data were obtained from 396 brands' Facebook page followers in Malaysia using an online survey and analyzed using the partial least squares technique. The results indicated that a brand's Facebook page information variety and information currency significantly affect trust in that brand. Additionally, responsiveness and followers' positive comments on the Facebook page were found to have a significant influence on both trust in brand and trust in product. Furthermore, both trust in brand and trust in product were significantly related to intention to purchase. Our results revealed that alternative attractiveness negatively moderates the influence of trust on purchase intention. The findings extend the literature by illustrating that (i) the influence of customer‐generated information on trust is higher than the influence of company‐generated information; (ii) the determinants and impacts of trust in brand and trust in product are different; and (iii) existence of attractive alternatives may offset the impact of trust in brand on purchase intention. The findings are useful for brand managers and enable them to influence customers' trust through successful management of brands' Facebook fan pages.

PurposeDespite the potential of artificial intelligence (AI) systems to increase revenue, reduce costs and enhance performance, their adoption by organisations has fallen short of expectations, leading to unsuccessful implementations. This paper aims to identify and elucidate the factors influencing AI adoption at both the organisational and individual levels. Developing a conceptual model, it contributes to understanding the underlying individual, social, technological, organisational and environmental factors and guides future research in this area.Design/methodology/approachThe authors have conducted a systematic literature review to synthesise the literature on the determinants of AI adoption. In total, 90 papers published in the field of AI adoption in the organisational context were reviewed to identify a set of factors influencing AI adoption.FindingsThis study categorised the factors influencing AI system adoption into individual, social, organisational, environmental and technological factors. Firm-level factors were found to impact employee behaviour towards AI systems. Further research is needed to understand the effects of these factors on employee perceptions, emotions and behaviours towards new AI systems. These findings led to the proposal of a theory-based model illustrating the relationships between these factors, challenging the assumption of independence between adoption influencers at both the firm and employee levels.Originality/valueThis study is one of the first to synthesise current knowledge on determinants of AI adoption, serving as a theoretical foundation for further research in this emerging field. The adoption model developed integrates key factors from both the firm and individual levels, offering a holistic view of the interconnectedness of various AI adoption factors. This approach challenges the assumption that factors at the firm and individual levels operate independently. Through this study, information systems researchers and practitioners gain a deeper understanding of AI adoption, enhancing their insight into its potential impacts.

PurposeThe purpose of this paper is to investigate the effects of consumers' perceptions towards volume discount (VD) benefits on their intention to purchase grocery products under this scheme using deal proneness as a moderator.Design/methodology/approachData were gathered through a survey of 583 Malaysian consumers, and were analysed using the partial least squares technique.FindingsThe results showed that perceived savings, self-expression value, and convenience positively affected consumers' intention to purchase grocery products under VDs. Deal proneness negatively moderated the relationship between perceived quality, innovation, and consumers' intention to purchase under VDs.Practical implicationsThe findings of the study will help retailers to understand the effects of consumers' perceptions of VD benefits on their intention to purchase products under VDs, thereby allowing retailers to promote products under VDs more effectively.Originality/valueAlthough the VD is a common type of sales promotion, this topic is rarely explored. This study thus contributes to the advancement of knowledge by determining the effects of the potential benefits of VDs on consumers' intention to purchase.

Refractive error is a common social issue in every walks of human life, and its prevalence recorded the highest among Chinese population, particularly among people living in southern China, Hong Kong, Thailand, Singapore, and Malaysia. Refractive error is the simplest disorder to treat and supposed to cost the effective health care intervention. The present study included 168 Chinese school-going children aged 10 to 12 years; they were selected from different schools of urban Malaysia. It was surprising to see that 112 (66.7%) children had the early onset of refractive error; refractive error was also detected late among the primary school or secondary school students. The findings revealed that the determinants of refractive error among Chinese children were personal achievements and machine dependence. The possible reasons for the above significant factors emerged could be attributed to the inbuilt culture and traditions of Chinese parents who insist that their children should be hardworking and focus on school subjects so that their parents allow them to use luxury electronic devices.

PurposeGiven the growing significance of contemporary socio-economic and infrastructural conversations of Public-Private Partnerships (PPP), this research seeks to provide a general overview of the academic landscape concerning PPP.Design/methodology/approachTo offer a nuanced perspective, the study adopts the Latent Dirichlet Allocation (LDA) methodology to meticulously analyse 3,057 journal articles, mapping out the thematic contours within the PPP domain.FindingsThe analysis highlights PPP's pivotal role in harmonising public policy goals with private sector agility, notably in areas like disaster-ready sustainable infrastructure and addressing rapid urbanisation challenges. The emphasis within the literature on financial, risk, and performance aspects accentuates the complexities inherent in financing PPP and the critical need for practical evaluation tools. An emerging focus on healthcare within PPP indicates potential for more insightful research, especially amid ongoing global health crises.Originality/valueThis study pioneers the application of LDA for an all-encompassing examination of PPP-related academic works, presenting unique theoretical and practical insights into the diverse facets of PPP.

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.

PurposeIn the literature on sustainable supply chain management, the social pillar of sustainability has received relatively little attention, especially in developing countries. The purpose of this paper is to test empirically the impacts of supplier development practices on suppliers' social performance. Furthermore, the impact of suppliers' social performance on MNCs' social performance was investigated and corporate reputation was proposed as a potential explanation for the relationship between MNCs' social and financial performance.Design/methodology/approachData were obtained from a survey of 141 multinational companies (MNCs) in Malaysia which were listed in the Federation of Malaysia Manufacturers' directory 2017. Data were analyzed using partial least squares structural equation modeling.FindingsThe results show that among the four proposed practices, supplier development and supplier collaboration have significant effects on suppliers' social performance and consequently on the multi-national companies' social performance. According to these results, multi-national companies' corporate reputation mediates the relationship between their social and financial performance.Practical implicationsThese results will be useful in helping managers of MNCs to realize that simply monitoring suppliers and giving them incentives are not effective ways of enhancing social responsibility among suppliers; instead, supplier development and collaboration such as technical support and training are needed.Originality/valueThe results extend the literature on socially responsible supplier development practices by testing empirically the impacts of four popular practices in the literature and showing that supplier monitoring and incentives have no effect.

The recent debate on innovation within an organizational setting has shifted focus toward discussing whether innovation is being adopted or being created. This shift is due to the failure of many innovation efforts and the fact that for each innovation creation or innovation adoption, different skills, resources, and cultures are needed to encourage each innovation. The objective of this article is to explore the type of innovation implemented by the construction participants. A conceptual model of innovation creation and innovation adoption was developed using four criteria: by justification of new ideas, by purposes, by activities involved, and by nature. Face-to-face questionnaires were conducted with developers, consulting firms, and contractors in Penang, Malaysia. The data were analyzed using descriptive analysis. Factor analysis was used to classify the innovation creation and innovation adoption. The results show that the construction participants in Malaysia are categorized as an innovation adopter. This result provides better understanding about the type of innovation implemented by the construction participants, in particular the contractors and the consulting firms. The results could also be used as a foundation for conducting future research to identify appropriate skills, knowledge, culture, and resources for such innovations.

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.

PurposeThis study aims to explain how board and hotel characteristics affect biodiversity reporting and to test the moderating effect of market diversification.Design/methodology/approachThe annual reports of 105 hotels were examined for the period between 2016 and 2017 to analyse these hotels' biodiversity reporting using content analysis. The partial least squares technique was used to test the proposed relationships.FindingsThe results show that the number of board members who are also on the corporate social responsibility committee, number of board members who are in environmental organizations, the star rating of the hotel, hotel size and hotel location have significant positive effects on the extent of biodiversity reporting. In addition, market diversification moderates positively the effects of number of board members with environmental experience and number of board members from environmental organizations on the extent of biodiversity reporting.Practical implicationsThe results of this study will be useful in enabling hotel manager and investors to become knowledgeable about these aspects of boards, which lead to higher biodiversity reporting. This study can also inform policymakers about the types of hotels that are less likely to disclose biodiversity reports and to develop effective enforcement of regulations.Originality/valueThese findings extend the literature on biodiversity reporting by exploring the importance of board and hotel characteristics on the extent of biodiversity reporting and testing the moderating effect of market diversification.