Doing Big Things in a Small Way: A Social Media Analytics Approach to Information Diffusion During Crisis Events in Digital Influencer Networks

Digital influencers play an essential role in determining information diffusion during crisis events. This paper demonstrates that information diffusion (retweets) on the social media platform Twitter (now X) highly depends on digital influencers’ number of followers and influencers’ location within communication networks. We show (study 1) that there is significantly more information diffusion in regional (vs. national or international) crisis events when tweeted by micro-influencers (vs. meso- and macro-influencers). Further, study 2 demonstrates that this pattern holds when micro-influencers operate in a local location (are located local to the crisis). However, effects become attenuated when micro-influencers are situated in a global location (outside of the locality of the event). We term this effect ‘influencer network compression’ – the smaller in scope a crisis event geography (regional, national, or international) and influencer location (local or global) becomes, the more effective micro-influencers are at diffusing information. This shows that those who possess the most followers (meso- and macro-influencers) are less effective at attracting retweets than micro-influencers situated local to a crisis. As online information diffusion plays a critical role during public crisis events, this paper contributes to both practice and theory by exploring the role of digital influencers and their network geographies in different types of crisis events

What prevents organisations from achieving e-HRM potential?

Use of electronic human resource management (e-HRM) offers the prospect of enabling the human resource management (HRM) function to take on a strategic partner’s role in organisations. Despite the pervasive expansion of e-HRM use, there is no clear understanding of why organisations are not achieving e-HRM potential. We address this issue by investigating e-HRM adoption factors and their influence on information technology (IT) use potential to automate, informate and transform the HRM function in a sequential manner. In particular, we examine HRM professionals’ experiences with e-HRM use, including challenges, successes, and outcomes. We identified e-HRM adoption factors that enable and that constrain each stage of e-HRM use. With a focus on the inhibiting factors, our findings suggest that e-HRM potential hindered already in the automation stage diminishes e-HRM potential to subsequently informate and to transform the e-HRM function

Mobile Identity Protection: The Moderation Role of Self-Efficacy

The rapid growth of mobile applications and the associated increased dependency on digital identity raises the growing risk of identity theft and related fraud. Hence, protecting identity in a mobile environment is a problem. This study develops a model that examines the role of identity protection self-efficacy in increasing users’ motivation intentions to achieve actual mobile identity protection. Our research found that self-efficacy significantly affects the relationship between users’ perceived threat appraisal and their motivational intentions for identity protection. The relation between mobile users’ protection, motivational intentions, and actual mobile identity protection actions was also found to be significant. Additionally, the findings revealed the considerable impact of awareness in fully mediating between self-efficacy and actual identity protection. The model and its hypotheses are empirically tested through a survey of 383 mobile users, and the findings are validated through a panel of experts, thus confirming the impact of self-efficacy on an individual’s identity protection in the mobile context

Using Analytical Information for Digital Business Transformation through DataOps: A Review and Conceptual Framework

Organisations are increasingly practising business analytics to generate actionable insights that can guide their digital business transformation. Transforming business digitally using business analytics is an ongoing process that requires an integrated and disciplined approach to leveraging analytics and promoting collaboration. An emerging business analytics practice, Data Operations (DataOps), provides a disciplined approach for organisations to collaborate using analytical information for digital business transformation. We propose a conceptual framework by reviewing the literature on business analytics, DataOps and organisational information processing theory (OIPT). This conceptual framework explains how organisations can employ DataOps as an integrated and disciplined approach for developing the analytical information processing capability and facilitating boundary-spanning activities required for digital business transformation. This research (a) extends current knowledge on digital transformation by linking it with business analytics from the perspective of OIPT and boundary-spanning activities, and (b) presents DataOps as a novel approach for using analytical information for digital business transformation

When Agility Meets a Project Portfolio: A Study of Success Factors in Large Organisations

The iterative nature of agile methods combined with high levels of team and customer interactions and continuously changing IT and software development project requirements make the management of agile project portfolios very complex. To date, the mechanisms under which project portfolio management adapts to these complexities and achieves portfolio success have not been thoroughly investigated. This study explores the notion of success and its impacting factors in large organisations' portfolios of agile IT and software development projects. Using a multiple case study design, we analysed the agile project portfolios of seven large organisations. We identified four success criteria and 15 success factors and categorised them into a unique agile portfolio success framework. Some of these criteria and factors are unique to agile project portfolios. The framework contributes to agile and project management literature by conceptualising the notion of success in portfolios of agile projects while revealing a set of factors that affect the relationship between an agile portfolio with its subcomponents and the surrounding environment. The framework supports managers and practitioners in large organisations in reflecting on their agility efforts to achieve higher success rates in their agile portfolios

Effective Communication in Globally Distributed Scrum: A Model and Practical Guidance

A trend in information systems development is for globally distributed teams to use agile methods and frameworks such as Scrum. In globally distributed (GD) software development, a known challenge is effective team communication. Researchers, however, cannot evaluate effective communication in GD teams using Scrum unless they know what effective communication means in that context. This qualitative study contributes a theoretical model of effective communication in GD Scrum teams and practical guidance for practitioners. Ten industry professionals working in GD Scrum teams were interviewed to capture their understanding of effective communication. Qualitative content analysis was used to analyse the interviews and form a basis for the model and the practical guidance. This novel model consists of communication transparency, communication quality, and communication discipline, which together lead to the alignment of team understanding (i.e., a team-level shared mental model). This theoretical model lays the ground for future research into the effect of Scrum practices on communication in GD contexts, and the effect of communication on team and project success. For practitioners, this study contributes 11 practical actions that professionals recommend for improving and sustaining effective communication

The Interplay of Challenge-Hindrance-Appraisal and Self-Efficacy: Technostress and Remote Working Performance

Measures to contain the COVID-19 pandemic have caused many employees to work from home; a novel situation in which individuals used information systems (IS) more intensively to stay in touch with coworkers. This novel IS use situation affected individuals differently and resulted in both positive and negative outcomes. Recent calls for research advocate for clarification regarding the conceptualisation of appraisal, which explains different individual responses to objectively equal environments. In particular, challenge-hindrance-research does not differentiate between primary and secondary appraisal. Therefore, it remains unclear how individual capability beliefs, such as self-efficacy, affect challenge and hindrance IS use appraisal. We conduct an empirical study with 1,553 German employees to investigate these relationships and the positive and negative outcomes during the COVID-19 pandemic. We find that challenge and hindrance IS use appraisal, and remote working self-efficacy are interconnected, yet different constructs. We find that self-efficacy is related to challenge IS use appraisal, rather than hindrance IS use appraisal. Further, challenge IS use appraisal is a driver for performance in a remote working environment. We conclude that there are stressful aspects of IS use that are not influenced by an individual’s belief in their abilities. Our study emphasises the importance of remote working self-efficacy and IS use appraisal to mitigate techno-distress and increase performance during remote work

Investigating the Moderating Effect of Massively Multiplayer Online (MMO) Games on the Correlation Between Flow and Game Addiction: A Meta-Analysis

The flow theory of addiction suggests that the psychological flow state and addiction are positively correlated. However, based on 23 empirical studies involving 6,772 subjects, our meta-analysis shows that this relationship is significantly weakened in massively multiplayer online (MMO) games. Our results suggest that game genre, which is often overlooked in existing theories, warrants more attention in future research on game addiction. For game developers, our results suggest that it is particularly important for non-MMO games to provide a good match between game challenge and player skill level, which is essential to the flow experience. As MMO games have been reported to be more addictive than non-MMO games, future research should also investigate the unique characteristics of MMO games that cause addiction in this game genre

The Role of Actors in Blockchain Adoption Decisions – An Innovation Translation Perspective

An overview of challenges around blockchain adoption has revealed that there is little understanding of the process of blockchain adoption decisions, including who needs to be involved and consulted at various stages. When systems are designed to intentionally protect privacy or to obscure actors, such as blockchain platforms, it can be challenging to identify them and to understand their roles. To do this we used an Innovation Translation approach from Actor-Network Theory (Latour, 2007) which looks at the roles of both human and non-human actors. To understand the interactions among the actors involved, multiple rounds of interviews were conducted with Blockchain experts, utilising the qualitative Delphi method. The findings of this study propose a framework that provides insight into the decision-process by exploring the actors involved and their roles as they implement strategies to adopt blockchain and to convince other actors. The outcomes will assist blockchain practitioners and researchers to have an understanding of pre-adoption decisions and stakeholder involvement. Organisations considering implementing blockchain will benefit from this research as they will know where to start, who to engage, and which stakeholders are needed during the decision-making process