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Global warming and climate change are significant barriers to food production due to rising temperatures and extreme weather events. Thus, some households have taken to producing organic food on their rooftop gardens to mitigate the aforementioned challenges, which could improve the green environment and reduce carbon dioxide emissions. Given the emergence of this trend, this study aims to predict organic food production intention and behaviour within urban rooftop home gardens using an integrated model of the value-belief-norm (VBN) theory and theory of planned behaviour (TPB).

Study data were collected from 352 households in two major Bangladeshi cities and analysed through SEM-PLS for model assessment and prediction.

Resultantly, biospheric and egoistic values led to an improved ecological worldview (EP). The EP, awareness of consequences (ACs) and social norms (SNs) predicted personal norms (PNs). In addition, PNs and SNs forecasted the intention to produce organic food in urban-area rooftop gardens. Strong intentions could promote and predict the adoption of organic food production in rooftop gardens. Based on the study outcomes, PN partially mediated the relationship between SN and the intention to produce organic food. Furthermore, the value–behaviour nexus performed serial mediation through beliefs, norms and intentions.

In this vein, the VBN framework provided a comprehensive guideline to encourage the intention and behaviour of organic food production in urban-area rooftops. Education and public policies potentially leveraged public beliefs and norms to engage in climate-friendly activities.

Cultivating organic herbs and vegetables on rooftop reduces dependency on industrially produced food and fertilised crops, making it a sustainable food choice and climate-mitigating activity. Thus, this study focuses on rooftop organic food production as a lens to examine pro-environmental intentions and behaviours. In addition, past studies have not emphasised the mediating roles of environmental beliefs, PN and intentions between the value–pro-environmental behaviour nexus. Such paths could be interesting to observe and add value to the VBN model. This study investigated the mediating roles of environmental beliefs, PN and intentions between the value–pro-environmental behaviour nexus and the role of PN between SN and pro-environmental behavioural intention with VBN farmwork.

This paper aims to provide the integrated model with artificial intelligence (AI) awareness for the betterment of the higher education system in crisis i.e. fear of contagious viruses (different kinds of flu, monkeypox, chickenpox, COVID-19, etc.) corollaries in developing nations where the quality of education depends on teachers’ commitment, stress and the turnover intention.

This empirical investigation employs a self-administered survey distributed among the faculty members within higher education institutions (HEIs) of the Punjab province and the Federal Capital Territory (FCT) Islamabad, Pakistan. The final sample of 622 faculty members was collected through convenience sampling, and structural equation modeling was performed with SmartPLS to assess the proposed model.

The study reveals that remote work significantly enhances organizational commitment while concurrently lowering the turnover intention. Conversely, perceived work stress negatively impacts organizational commitment but positively influences turnover intention. Organizational commitment partially mediates between perceived work stress and turnover intention but exhibited no mediation between remote work and turnover intention. Notably, fear of contagious viruses and AI awareness positively moderate and amplify both the perceived work stress with turnover intention and remote working with organizational commitment, respectively.

The current study extends the AI-mediated social exchange theory (MET) by observing faculty members of HEIs in the context of remote working, perceived work stress, commitment, turnover intention, fear of contagious viruses and AI awareness. Moreover, the successful application of AI-MET extended the researcher’s understanding of quality education in crisis.

The study offers several contributions including applications of technical skills with AI awareness among faculty members to provide quality education for society’s welfare. Moreover, HEIs should arrange training programs for performance enhancement.

This research provided a quality-based model for HEIs for developing nations to deal with forthcoming calamities of contagious viruses and deliver quality education through remote working during lockdown. Nowadays, off-campus education during calamity situations has been an alternative to on-campus education. Therefore, HEIs must introduce AI awareness to increase the dedication of faculty members toward society’s welfare with the utilization of full effort.

Climate risk assessments (CRAs) become more and more necessary to prepare and prioritise adaptation action. On a policy level, the results of CRAs offer the foundation for national adaptation strategies. However, existing CRAs oftentimes do not exploit their full potential by means of an integrated assessment, i.e. to illustrate the complexity of cascading risks, provide cross-sectoral results, integrate adaptive capacity and demonstrate spatial patterns. This paper seeks to fill this gap by dissecting integrated assessment approaches of national CRAs.

The paper focuses on the integrated analyses of the results of CRAs. Based on a review of selected national, multi-sectoral CRAs, the authors explore the application of such analyses. Additionally, drawing on the latest climate impact and risk assessment for Germany, the authors highlight latest approaches and their implications.

The authors show that even though progress in establishing integrated assessment methods has been made, no common framework exists so far and only few national CRAs include extensive integrated analyses. Nevertheless, the German example demonstrates that integrated analyses can provide a comprehensive overview over risk dynamics, (spatial) patterns and needs for action thus providing practical advice for decision-making on a national adaptation policy level.

While it is common knowledge that CRAs in general provide better results, if the models applied are integrated (i.e. combining climate, geo-physical, economic, etc. factors), little attention has been given to the integrated analyses of their results. This paper provides valuable new insight on this aspect which will become far more important in the future.

The advent of artificial intelligence (AI) in the accounting landscape marks a significant shift, promising gains in efficiency and accuracy but also eliciting concerns about job displacement (JD) and broader socio-economic implications. This study aims to provide an in-depth understanding of how AI’s integration in accounting contributes to JD, reshapes decision-making processes and reverberates across economic and social dimensions. It also offers evidence-based policy recommendations to mitigate adverse outcomes.

Leveraging a cross-sectional survey disseminated through Facebook, this research used snowball sampling to target a diverse cohort of accounting professionals. The collected data were subjected to meticulous analysis through descriptive and regression models, facilitated by SmartPLS 4 software.

The analysis revealed a significant correlation between AI’s increasing role in accounting and a heightened rate of JD. This study found that this displacement is not isolated; it has tangible repercussions on decision-making paradigms, economic well-being, professional work dynamics and social structures. These insights corroborate existing frameworks, including, but not limited to, theories of technological unemployment and behavioural adjustments.

Although providing valuable insights, this study acknowledges limitations such as the restricted sample size, the cross-sectional nature of the survey and the inherent biases of self-reported data. Future research could aim to extend these initial findings by adopting a longitudinal approach and potentially integrating external data sources.

As AI technology becomes increasingly ingrained in accounting practices, there is an urgent need for coordinated action among stakeholders. Policy recommendations include focused efforts on talent retention, investment in upskilling programs and the establishment of support mechanisms for those adversely affected by AI adoption.

By synthesising a range of theoretical perspectives, this study offers a comprehensive exploration of AI’s multi-dimensional impacts on the accounting profession. It stands out for its nuanced examination of JD and its economic and social implications, thereby contributing to both academic discourse and policy formulation. This work serves as an urgent call to action, highlighting the need for strategies that both exploit AI’s potential benefits and protect the workforce from its disruptive impact.

The study investigates the serial mediation of psychological ownership and workplace innovation in the nexus between organizational leadership and employee performance among healthcare workers in Ghana.

Six hundred and thirty-seven samples were selected using convenience sampling technique. The data gathered using self-reported questionnaire were analyzed using SEM-PLS.

The findings reveal that organizational leadership directly improves healthcare employee’s psychological ownership, workplace innovation and employee performance. Psychological ownership and workplace innovation separately and serially mediate the relationship between organizational leadership and healthcare employees’ performance.

The study highlights the significant influence of organizational leadership, psychological ownership and workplace innovation on the performance of healthcare employees. Healthcare organizations ought to allocate resources toward leadership development strategies to foster a favorable work atmosphere that promotes innovation and enables employees to assume ownership of their tasks and contribute to continuing enhancement, ultimately leading to enhanced performance.

This research is a pioneering study on serial mediation of psychological ownership and workplace behavior in the association between organizational leadership and performance in healthcare settings in Ghana.

Critical studies within the economic and administrative sciences are increasingly paying attention to the way markets shift responsibility to consumers for societal and personal goals, referring to this process as consumer responsibilization. This article advances a new approach to responsibilization theory with the aim of overcoming some of its limitations.

A conceptual approach is used to critique dominant post-structural understandings of consumer responsibility and to advance alternative ways of thinking about responsibilization regimes that highlight the embodied and embedded experiences of responsible consumers.

The article suggests that responsible consumption is embodied and embedded within neoliberal social structures characterized by inherent tensions and will produce strained experiences rather than skilled and empowered neoliberal subjects. The authors underscore the need for an empirical focus on the adaptational responses of consumers to responsibilization processes. With a focus on the frictional relationship between the idealization pressures involved in responsibilization processes and the real-world consequences embodied in consumer experiences, the conceptual approach may provide new ways to advance the concept of responsibilization as a critique of neoliberal marketization.

While responsibilization theory has been gaining widespread attention, this is the first paper to critically examine its limitations and offer an embedded-embodied perspective on consumer responsibility.

This study uses the S-O-R theory to examine how trust and outcome expectancy influence usage and advocacy. It also analyzes the moderating role of trust in a low-trust society and the differences between low-trust and high-trust consumer segments.

Our analysis was based on a sample of 400 responses collected using a pre-tested survey during January–March 2023. Purposeful and snowball sampling techniques were used to select the study participants. The research model was estimated using the SmartPLS 4.0 statistical application.

The findings revealed that outcome expectancy strongly predicts consumer trust. While word of mouth was impacted more by trust than usage behavior, trust was found to be a stronger predictor of recommendation behavior of FinTech digital payment systems than usage behavior. We distinguished between consumers with low trust (“misbelievers”) and those with high trust (“believers”). We found that the effect of outcome expectancy on usage behavior was more substantial for “misbelievers” than “believers.”

The study’s findings have practical implications for business and marketing executives, regulators, FinTech companies and the banking and payment industry in designing strategies for gaining consumer trust, promoting consumer recommendation behavior and using FinTech innovations.

This research’s originality lies in applying the S-O-R theory to the digital payment context within FinTech. It examined consumer trust dynamics and outcome expectancy dynamics, particularly in the underresearched setting of developing countries known for their low-trust environments. Also, the study introduces a methodological innovation by employing multigroup analysis to “decompose” moderation associations, offering more profound insights into the influence of trust on the adoption and sustained use of FinTech services.

The continuing development of digital technologies creates expanding opportunities for information transparency. Consumers use social media to provide online reviews that are focused on changing levels of consumer trust. This study examines the effect of perceived risk that prompts consumers to search for online reviews in the context of food safety.

Commitment-trust theory forms the theoretical lens to model changes in consumer trust resulting from online reviews. Consumer-based questionnaire surveys collected data to test the structural model, using structural equation modelling (SEM).

The findings show when consumers perceive high levels of risk, they use social media to obtain additional product-related information. The objective, unanimous, evidential and noticeable online reviews are perceived as informative to consumers. Perceived informativeness of positive online reviews is found to increase consumers trust and, in turn, increase their purchase intentions.

The findings contribute to the knowledge of online review-based trust literature and provide far-reaching implications for information system (IS)-practitioners in business.

This study investigates the impact of experimentally priming a maximizing decision-making style on individuals’ likelihood of using artificial intelligence (AI) advisors for making complex financial decisions, such as building an investment portfolio for their retirement. It examines whether individuals with stronger maximizing tendencies are more likely to perceive algorithms as effective, thereby reducing their algorithm aversion, and ultimately increasing the likelihood of using AI advisors in their financial decision-making.

A qualitative pre-study amongst individuals differing in their maximizing tendencies to learn more about the existing usage patterns of AI advisors for financial decisions was combined with a quantitative study to experimentally test our hypotheses. For both studies, US participants were recruited through Prolific. The data were analyzed using thematic analysis in NVivo and regression analysis in the SPSS Process macro.

The results show that individuals primed with a maximizing mindset demonstrated a higher likelihood of using AI advisors for their financial decisions. This effect was serially mediated by the perception of enhanced algorithm effectiveness and reduced algorithm aversion.

This study provides actionable insights for financial service providers such as banks, pension funds and insurance companies into strategies on how to reduce algorithm aversion and encourage greater AI usage in decision-making amongst their (potential) clients. In particular, to increase the likelihood that consumers will rely on AI advisors for financial decisions, financial service providers can induce a maximizing mindset in these individuals by adjusting the wording of their marketing communications material.

This study extends our understanding of how maximizing tendencies influence the likelihood of using AI advisors. It contributes to the literature by highlighting the role of perceived effectiveness and algorithm aversion and by demonstrating that experimentally inducing a maximizing mindset can increase AI usage for financial decisions; doing so is important as AI can help provide consumers with personalized advice in a cost-effective way.

This paper aims to study the impact of the interaction effects between live-streaming marketing and clothing type on consumers' intention to purchase clothing, and the mediating effect of internalization and identification on the relationship between them.

This paper conducts a scenario experiment to 486 consumers who had experience in purchasing clothing on the live-streaming platform and employs the analysis of variance, structural equation model and multivariate regression model.

Our findings reveal that professional live-streaming marketing (PLSM) can better stimulate consumers' intention to purchase formal clothing than entertainment live-streaming marketing (ELSM) does. Compared with PLSM, ELSM can better stimulate consumers' intention to purchase casual clothing. When PLSM promotes formal clothing, it triggers the internalization mechanism of consumers, so as to improve their purchase intention. When ELSM promotes casual clothing, it triggers consumers' identification mechanism, so as to improve their purchase intention.

This paper helps to identify the differences in the impact of different types of live-streaming marketing on consumers' intention to purchase different types of clothing, as well as the mediating role of internalization and identification mechanisms. This paper provides a theoretical reference for clothing firms to strategically select the appropriate type of live-streaming marketing.