Search results

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 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.

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.