Search results

Concerns regarding the implementation of interventions to address misinformation have been prominent in Hong Kong and other regions. This study aims to explore the factors that influence public support for digital platform regulation, media literacy education and legislation in the fight against misinformation.

This study utilized data from a nationally sampled survey in Hong Kong (N = 1,654) collected during the COVID-19 pandemic.

Perceptions of the direction in which misinformation is biased moderated the influence of the third-person perception on support for all three intervention types: digital platform regulation, media literacy education and legislation. As individuals differ in their focus on either penalizing those who spread misinformation or safeguarding themselves from potential consequences, varying strategies are favored. Media literacy education stands out as a preferred approach since it neither penalizes individuals nor restricts freedom of expression, offering a gentle form of intervention.

Governments may view media literacy education as a favorable intervention, as it garners support without infringing on free speech. Conversely, individuals advocating for more stringent measures, such as enforcement actions, may lean towards legislation rather than literacy education.

This research is unique in its simultaneous comparison and contrast of public support for three misinformation interventions. It underscores the significance of taking both third-person perceptions and perceptions of bias of misinformation into account when considering strategies to combat misinformation.

This study aims to explore whether and how the two potential antecedents (i.e. relationship quality at the dyadic level and network density at the network level) affect firms’ internet-interactive capability (FIIC), referring to the capability of a specific firm to communicate and interact with the relevant partner firms on the basis of internet-interactive technologies in the internet environment and, at the same time, the following influence of FIIC on collaborative activities (i.e. joint planning and joint problem-solving).

This study designed a questionnaire and collected data on-site from 400 manufacturers. SmartPLS is used to validate the research model.

The results suggest that the dyadic relationship quality and network density of the partner group are both positively connected with a firm’s FIIC. Besides, FIIC is positively related to collaborative activities with its partners.

Given the nature of our data (i.e. cross-sectional), the authors can collect longitudinal or experimental data to retest the hypotheses.

This study gives certain guidance for firms to be aware of the factors that motivate FIIC and use their FIIC to influence their employees’ collaborative activities in their relationships with partners, thereby promoting cooperation performance.

This study attempts to extend the resource-based theory based on the logic of motivation-capability by exploring the potential antecedents of FIIC and makes contributions to the current studies on the antecedents of FIIC, which provides actionable insights for firms to play the role of FIIC in interfirm interactions.

The objectives of this research are two-fold. The first is to explore, describe and explain the relevance of the concept of Information Technology risk management (ITRM) implementation processes. In this regard, we were required to understand the interaction between contextual issues, the ITRM framework itself, IT individual interpretations toward them and their effect on implementation. The second objective is to develop a theoretical model for use in guiding the design and analysis of the proposed empirical work. The study introduces a fresh perspective to an established research area. It is argued that without more emphasis on the dynamic nature of the implementation process, an incomplete understanding of the problem will result.

The study adopts an interpretive methodology to a multiple case study design gathering and analysing qualitative evidence. A series of three case studies was designed around 22 semi-structured in-depth interviews conducted to investigate IT individuals’ role in facilitating a successful ITRM implementation.

The findings provide new insights in relation to ITRM implementation by considering IT individual culture. The research develops a substantive theory involving a schematic model involving a set of theoretical propositions. These findings suggest a dynamic approach to implementing IT risk management framework — one that considers the interaction over time of intentions, context, process and action around risk management frameworks.

This study makes important theoretical contributions to the understanding of organizational implementations by taking a dynamic view of implementation, identifying different individual IT culture archetypes, emphasizing the role of social aspects and developing a set of key factors and contextual conditions.

This model offers managers an understanding of how IT individual culture and the factors and contextual conditional work together over time to ensure a successful ITRM implementation. Meanwhile, it sheds some light on how managers treat IT individuals with different levels of experience differently.

We theorize IT individual culture and the factors and contextual conditional and show their effects on ITRM implementation success, thus making an essential contribution to the information systems and implementation research and practice. Moreover, we provide a novel methodology to conceptualize ITRM implementation as a cultural process through which IT people socially construct the meanings and purposes of their work activities. This research answers scholars’ call to construct more accurate explanations of innovation outcomes in an increasingly IS implementation world.

In the vibrant world of social commerce (SC), where information flows freely, interactions thrive and online purchases abound, there is an escalating challenge. Users are uninstalling and disengaging due to approach and avoidance stimuli, a trend mirroring the approach-avoidance motivation model (AAMM). Our study, anchored in AAMM and the stimulus-organism-response (SOR) model, aims to dive into the complex dynamics of these factors that shape users' SC continuance intentions.

Our findings, drawn from 472 SC users in Malaysia, paint an intriguing research framework via PLS-SEM analysis by testing the proposed hypotheses. A purposive sampling technique was utilized, deliberately selecting respondents based on specific criteria. Subsequently, data were gathered through the distribution of face-to-face questionnaires at selected shopping malls, facilitating a focused and comprehensive exploration of consumer perspectives.

The empirical results demonstrate the following: (1) Users' determination to stay engaged on SC platforms hinges on approach factors, like emotional support, surveillance gratification and multisensory gratification. (2) Simultaneously, avoidance factors such as technostress and perceived deception exert their negative influence. (3) Flow experience, rooted in flow theory, emerges as the underlying mechanism connecting these duality stimuli, influencing the continuance intention.

In a departure from conventional research, our study pioneers a comprehensive approach and boldly confronts the research gap by introducing a rich tapestry of antecedents, embracing both the appeal of approach factors and the deterrence of avoidance ones, using the AAMM that sheds light on how individuals navigate between embracing opportunities and avoiding pitfalls based on perceived gains and losses. This holistic approach enables us to redefine our understanding of digital engagement dynamics, offering a captivating journey into the realm of user experience and intention that transcends the ordinary.

This study aims to develop and test a framework of the antecedents to and performance outcomes of exporters’ use of different services offered by Internet-based Business-to-Business (I-B2B) platforms.

We test the model based on a unique survey dataset of 350 Chinese exporters who subscribed to Alibaba.com, a major I-B2B platform.

Drawing on the signaling theory, export and I-B2B platform literature, we develop a typology of exporters’ use of services offered by I-B2B platforms. We find that the extent to which firms have cost efficiency advantages, adopt an export diversity strategy, operate under high levels of psychic distance and experience high levels of domestic regulatory uncertainty are all positively related to exporters’ use of I-B2B platform services. The use of those services is either positively or negatively related to export success depending on the services in question. The magnitudes of these performance relationships are contingent on the exporters’ transparency strategies.

This is the first study to examine the antecedents to and consequences of exporters’ use of the services offered by I-B2B platforms.

This research explores the impact of approach and avoidance drivers on users’ discontinuance usage intention (DUI) in social commerce (s-commerce). It also examines the mediating role of perceived enjoyment and the moderating role of autotelic personality traits.

Using a purposive sample of 465 s-commerce users in Malaysia, data analysis was conducted using partial least squares structural equation modeling (PLS-SEM).

This study demonstrates that informational support is a key approach driver, enhancing perceived enjoyment and reducing perceived deception and DUI. Although perceived deception does not directly affect perceived enjoyment, it significantly predicts DUI. Additionally, the impact of informational support on DUI is mediated by perceived enjoyment and moderated by autotelic personality.

S-commerce stakeholders, including platform developers, sellers and policymakers, can leverage these findings to foster a sustainable s-commerce environment. Implementing the proposed strategies can enhance perceived enjoyment and reduce DUI among current users.

This research advances s-commerce marketing and IS discontinuance studies by extending the approach-avoidance motivations model (AAMM) into s-commerce and incorporating autotelic personality as a moderating factor provides new insights into user DUI in this evolving field.

By integrating the Uses and Gratifications Theory and Flow Theory, this research seeks to untwine the veiled effects of interactive commerce enhancements (ICEs), specifically haptic imagery and social presence, in promoting user immersion and sustaining social commerce (SC) users' usage intention, considering the moderating role of autotelic personality.

The research utilized purposive sampling of Malaysian SC app users with recent transactions. A dual-source data collection approach, encompassing offline and online channels, was employed to ensure a broad and diverse respondent pool. Partial least squares–structural equation modeling was chosen for its adeptness in analyzing complex relationships in predictive studies.

The findings revealed the significant positive effects of haptic imagery and social presence on user immersion and continuance intention within SC apps. Social presence and immersion were found to mediate the proposed paths. Additionally, autotelic personality traits were identified as moderators, influencing the strength of these relationships.

This research makes a unique contribution by addressing critical gaps in SC environments, extending the concept of ICEs, understanding the impacts of underlying mediators and pioneering the examination of autotelic personality traits' moderating effects. It introduces a fresh perspective on how individual differences impact user engagement. This groundbreaking study benefits social media and interactive marketing literature by comprehensively understanding how ICEs elevate SC, fostering innovation and heightened engagement.

This study advances research on cognitive diversity from the perspective of public employees by studying the effect of cognitive diversity on team viability, the mediating effect of transactive memory systems (TMS) and the moderating effect of technology integration.

We used SmartPLS to analyze a unique data set from 193 public employees. The information was collected through an online questionnaire administered by the LimeSurvey Professional platform. In addition to analyzing the data through partial least squares structural equation modeling with higher-order latent variables, we analyzed mediating and moderating effects.

The results show that TMS act as partial mediators between cognitive diversity and team viability. Although technology integration (for both external diffusion and internal integration) moderates this relationship to mitigate negative effects, technological infrastructure does not.

This study expands previous research on TMS and technology integration. Our findings support the significance of TMS and technology integration in a context of cognitive diversity, identify ways to develop good management behavior and assess the results of these practices for team viability. We recommend that public managers in contexts of cognitive diversity work to create effective workplace environments. Training programs can foster TMS capabilities and support implementation of technology integration to improve team viability and results for public service delivery to citizens.

Experiencing stigma after abortion may decelerate the accumulation of human capital. Despite the importance of studying the relationship between religiosity and abortion stigma, the topic is understudied, especially in Islamic contexts. Abortion was legalized in Iran in 2005. Under the new law, far more cases are allowed for abortion. This change provided an opportunity to explore the interplay of abortion stigma, legalization and religiosity in Iran.

Using regression analysis based on 291 completed questionnaires from two cities in Iran, this study analyzes the relation between abortion stigma level and religiosity in Iran, controlling for contextual and individual variables. The time trend is also identified. The authors use different manifestations of abortion stigma as dependent variables.

The authors found that abortion stigma and its two manifestations decreased after the new law, suggesting that its legalization might have caused abortion stigma to decrease gradually. Another finding of this study is that the correlations between abortion stigma (internalized stigma) and individual religiosity level are meaningful and positive; religious people feel higher levels of abortion stigma.

The study supports the idea that effective health regulations (in the specific case of abortion) would result in less cost/risk of social issues like stigma. Policymakers in religious societies must pay more attention to the specific case of abortion stigma since it is very important for the mental health of women who think of abortion and/or select it.

To describe how decision-making in the selection processes of managerial successors in business families is influenced by the use of cutting-edge technologies such as AI.

Systematic literature review of 65 articles indexed in Scopus and in the main specialized journals on family businesses.

The integration of AI and algorithms, specifically in selection procedures, raises major questions and faces legal and ethical issues that affect employee performance, moral commitment and fairness in the processes. These aspects are important to ensure transparency, fairness and accountability as they provide insight into the practices of business families and how succession challenges such as the possibility of using signaling games and addressing gender biases and information asymmetries that have been reported in past research could be complemented by these actions.

The limitations of this research are mainly attributed to the exclusive use of a single database (Scopus), which could limit access to relevant literature; Furthermore, the exclusion of certain articles, despite focusing on prestigious journals on business families, may have overlooked relevant contributions; Furthermore, the 20-year scope of the literature review that ended in February and August 2024 omits subsequent publications that could have enriched the findings of this study.

To the best of the author’s knowledge, this study is the first of its kind to conduct a bibliometric analysis covering the line of successor selection and the process leveraged by new practices such as AI, an aspect that has been little addressed in the literature. In addition, this work traces aspects of decision-making that may affect selection. The research is of great value since it allows to illustrate in a consistent way the relationship between the selection of executive successors and how it is affected by the different decision-making processes in families, which allows to identify research gaps and make strategic decisions regarding the management of successions in BFs. Furthermore, this research provides a framework for future research in this area.