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Enforcing employee compliance with information systems security policies (ISSP) is a herculean task for organizations as security breaches due to non-compliance continue to soar. To improve this situation, researchers have employed fear appeals that are based on protection motivation theory (PMT) to induce compliance behavior. However, extant research on fear appeals has yielded mixed findings. To help explain these mixed findings, the authors contend that efficacy formation is a cognitive process that is impacted by the cognitive load exerted by the design of fear appeal messages.

The study draws on cognitive load theory (CLT) to examine the effects of intrinsic cognitive load, extraneous cognitive load and germane cognitive load on stimulating an individual’s efficacy and coping appraisals. The authors designed a survey to collect data from 359 respondents and tested the model using partial least squares.

The analysis showed significant relationships between cognitive load (intrinsic, extraneous, and germane) and fear, maladaptive rewards, response costs, self-efficacy and response efficacy.

This provides support for the assertion that fear appeals impact the cognitive processes of individuals that then in turn can potentially affect the efficacy of fear and coping appraisals. These findings demonstrate the need to further investigate how individual cognition is impacted by fear appeal design and the resulting effects on compliance intention and behavior.

Since the criminalisation of coercive control (CC), there have been a growing number of cases in the UK; however, there continues to be minimal research, understanding and education about this type of abuse. Hence, it is unsurprising that young people are at the highest risk of CC as they enter their first intimate relationships with limited awareness of the risks. The aim of this study is to explore how 16- to 24-year-olds in the UK understand CC in intimate relationships.

Semi-structured interviews were conducted with 23 young people to explore their knowledge of CC, sources of knowledge and learning opportunities. Reflexive thematic analysis was used to examine the interviews.

A total of 14 participants had heard of CC. Participants attributed victims and perpetrators behaviour to individual and environmental factors, including societal and gendered expectations. Young people explained that their knowledge came from experiences, online sources and family and friends. However, participants recognised the importance of credible messengers and sources, and some were sceptical of information shared online. Most had not learnt about CC in formal education but expressed the importance of incorporating it into the secondary curriculum.

To the best of the authors’ knowledge, this study is the first to explore how young people understand CC in the UK. The findings highlight the need for better understanding and formal education around CC, provide a platform for future work and encourage the incorporation of young voices in developing interventions.

The global dietary landscape is increasingly witnessing a shift in meat consumption patterns. However, an important question still concerns the direction in which these changes will continue and to what extent, in the near future, most consumers will completely give up meat products in their diet or will only limit their consumption. The second question is who is most susceptible to reducing meat in their diet and who will resist this trend. When looking for an answer to those questions, we employed an agent-based model (ABM) to analyse the data from a nationally representative survey conducted in Poland.

The model takes into account key factors influencing dietary choices through the channel of social influence, including health and ethical concerns, locus of control, food neophobia and meat eating justification.

Our simulations indicate the future dominance of reducetarianism, an upswing in vegan/vegetarianism, and a decline in omnivorism. Additionally, distinct dietary trajectories are emerging among different demographic groups, often echoing initial disparities or unveiling new patterns. The study further confirms the importance of individuals as embedded actors in the transformation of the food system.

The results offer a micro-based understanding of the evolution of dietary patterns, highlighting the value of the ABM in forecasting eating behaviour.

Previous studies on social influence and virtual product adoption have mainly taken users’ purchase behavior as a dichotomous variable (i.e. purchasing or not). Given the prevalence of competing versions (basic vs upgraded) of a virtual product in online communities, this paper investigated the differences in the effect of social influence on users’ adoption of basic and upgraded choices of a virtual product. It also examined how the effect varies with users’ social status and user-level network density.

A natural experiment was conducted in an online game community. Two competing versions (basic vs upgraded) of a virtual product were provided for in-game purchase while a random set of users selected from 897,765 players received the notification of their friends’ adoption information. A competing-risk model was used to test the hypotheses.

Social influence exerts a stronger positive effect on users’ adoption of the upgraded virtual product than of the basic virtual product. Middle-status users have the greatest (least) susceptibility to social influence in adopting the upgraded (basic) virtual product than low- and high-status users. User’s network density enhances the effect of social influence on adoption of both virtual products, even more for the upgraded one.

This research contributes to the social influence and product adoption literature by disentangling the different effects of social influence on basic and upgraded versions of a virtual product. It also identifies the boundary conditions that social influence works for each version of the virtual product.

Technology serves as a key catalyst in shaping society and the economy, significantly altering customer dynamics. Through a deep understanding of these evolving behaviors, a service can be tailored to address each customer's unique needs and personality. We introduce a strategy to integrate customer complaints with their personality traits, enabling responses that resonate with the customer’s unique personality.

We propose a strategy to incorporate customer complaints with their personality traits, enabling responses that reflect the customer’s unique personality. Our approach is twofold: firstly, we employ the customer complaints ontology (CCOntology) framework enforced with multi-class classification based on a machine learning algorithm, to classify complaints. Secondly, we leverage the personality measurement platform (PMP), powered by the big five personality model to predict customer’s personalities. We develop the framework for the Indonesian language by extracting tweets containing customer complaints directed towards Indonesia's three biggest e-commerce services.

By mapping customer complaints and their personality type, we can identify specific personality traits associated with customer dissatisfaction. Thus, personalizing how we offer the solution based on specific characteristics.

The research enriches the state-of-the-art personalizing service research based on captured customer behavior. Thus, our research fills the research gap in considering customer personalities. We provide comprehensive insights by aligning customer feedback with corresponding personality traits extracted from social media data. The result is a highly customized response mechanism attuned to individual customer preferences and requirements.

The complexity of property valuation, coupled with valuers’ cognitive limitations, makes some degree of error inevitable in valuations. However, given the crucial role that valuations play in the efficient functioning of the economy, there is a need for continuous improvement in the reliability of reported values by enhancing the quality of the decision-making process. The purpose of this paper is to review previous research on valuation decision-making, with particular interest in examining the approaches to improving the quality of valuation decisions and identifying potential areas for further research.

The paper adopts a narrative approach to review 42 research articles that were obtained from Scopus and Web of Science databases and through author citation searches.

Our findings show that existing literature is skewed towards examining the use of technology in the form of decision support systems (DSS), with limited research attention on non-technological (i.e. behavioural) approaches to improving the quality of valuation decisions. We summarise the non-technological approaches and note that much of the discussions on these approaches often appear as recommendations arising from other studies rather than original investigations in their own rights.

We conclude that studies investigating the effectiveness of the non-technological approaches to improving valuation decision-making are lacking, providing various avenues for further research.

This paper presents the first attempt to provide a comprehensive overview of non-technological approaches to improving the quality of valuation decisions.

Managers and scholars alike claim that artificial intelligence (AI) represents a tool to enhance supply chain collaborations; however, existing research is limited in providing frameworks that categorise to what extent companies can apply AI capabilities and support existing collaborations. In response, this paper clarifies the various implications of AI applications on supply chain collaborations, focusing on the core elements of information sharing and trust. A five-stage AI collaboration framework for supply chains is presented, supporting managers to classify the supply chain collaboration stage in a company’s AI journey.

Using existing literature on AI technology and collaboration and its effects of information sharing and trust, we present two frameworks to clarify (a) the interrelationships between information sharing, trust and AI capabilities and (b) develop a model illustrating five AI application stages how AI can be used for supply chain collaborations.

We identify various levels of interdependency between trust and AI capabilities and subsequently divide AI collaboration into five stages, namely complementary AI applications, augmentative AI applications, collaborative AI applications, autonomous AI applications and AI applications replacing existing systems.

Similar to the five stages of autonomous driving, the categorisation of AI collaboration along the supply chain into five consecutive stages provides insight into collaborations practices and represents a practical management tool to better understand the utilisation of AI capabilities in a supply chain environment.

With the increasing popularity of live streaming, the exploration of online behaviors on live streaming platforms has become a research hot spot in academia. However, the literature lacks cross-cultural investigations into live streaming addictive (LSA) behaviors among viewers. To address this gap, based on stimulus-organism-response (SOR) theory and motivation theory, this study investigates how information seeking, sensation seeking and community commitment (stimulus) affect hedonic and utilitarian motivation (organism), which in turn influence viewers’ LSA behaviors (response). This study also compares American and Chinese viewers to understand how LSA behaviors differ across national cultures.

We surveyed live stream viewers in both nations, collecting 758 valid samples including 377 Chinese respondents and 381 American respondents for use with the research model. A partial least squares (PLS) approach is employed for data analysis.

The results show that information seeking increases utilitarian motivation, sensation seeking increases hedonic motivation, and community commitment strengthens both hedonic and utilitarian motivation. Both hedonic motivation and utilitarian motivation positively affect LSA behaviors. In addition, based on cross-cultural analysis, we found that there was a significant mediating path common to the respondents in China and the USA (i.e. sensation seeking ? Hedonic motivation ? LSA).

The findings of this study make theoretical contributions to live streaming research and offer practical guidance for live streaming firms to formulate proper marketing strategies. Last, this study outlines several limitations and possible directions for future research.

Since its introduction by Anthony Giddens in the early 1980s, the use of the concept of “agency” as a way to accommodate an irreducible element of voluntarism into sociological explanations has grown exponentially in the literature. In this chapter, we examine the most prominent theoretical justifications for adopting the notion of “agency” as an integral part of such explanations. We distinguish three broad sets of justifications: the meaningfulness/intentionality of social action, the need for “agency” to explain change in social structures, and the link between agency, social accountability, and human dignity. We find that none of these provides a convincing rationale for the analytical utility of agency. This raises the question of what work it actually does perform in the sociological literature.

This study aims to examine the correlation between sustainability controversies and external sustainability audits, placing specific emphasis on evaluating how the presence of sustainability/CSR committees moderates this connection in firms with both high and low emissions.

Using a thorough quantitative approach, this study analyses a data set comprising 1,726 firm-observations from Europe, covering the years 2006–2021. The primary econometric model used is ordinary least squares, complemented by robustness tests including random effects regressions, a two-step generalized method of moments approach, sub-analysis and Propensity Score Matching.

This study reveals a significant role for sustainability external audits in alleviating ESG controversies, particularly within less-polluting firms. Also, it uncovers that the existence of a sustainability/CSR committee significantly moderates the relationship between ESG controversies and external sustainability assurance.

This study has crucial implications for organizations seeking to improve sustainability practices and build stakeholder trust. Insights into the relationship between ESG controversies, sustainability audits and the role of sustainability/CSR committees provide practical guidance for enhancing sustainability performance. This information is valuable for managers, regulators and stakeholders in shaping decisions and policies for a more sustainable corporate landscape.

This study provides fresh insights into how companies manage environmental challenges and enhance their reputation through external assurance. The integration of institutional theory enriches the theoretical framework, revealing external influences on companies’ decisions. This study’s focus on sustainability/CSR committee contributes to understanding organizational responses to environmental challenges, advancing knowledge in sustainability and corporate governance.