Type of publicationArticle ( have captured the attention of the Information Systems research community, and studies of user behavior in IP2PLS have revealed the saliency of social identity, personal transparency, and information sharing in such systems. We argue that the current state of knowledge is limited by methodological bias towards the study of particular IP2PLS providers, and report the findings of a study of a very large but under-researched platform. Through an analysis of 116,669 loan records, and a subsequent analysis of 1000 records manually coded through a content analysis process, we investigate the impact of information sharing on user behavior in an IP2PLS, revealing relationships that frequently contradict the findings from prior research. The paper discusses the contributions of our work towards a more complete and heterogeneous picture of user behavior in IP2PLS, implications for researchers of other crowdfunding systems and/or other emerging forms of IS-enabled collective action, as well as for system designers, users and providers.

The Covid-19 pandemic has forced organisations to embrace the largest remote workforce in history, yet this upheaval also brought an increasing number of cyber vulnerabilities to the fore. Organisations must remain committed to not leaving business processes, personal data, or vital infrastructure at risk, which has proved challenging for most. As remote working establishes itself as the new normal, criminals are seeking to capitalize on the widespread cybersecurity uncertainty, and succeeding. Private organisations and cybersecurity professionals must come together to establish robust solutions for home working cybersecurity.   This investigation explores several prevalent cyber risks (private networks, public hotspots, remote desktop protocol, authentication policies, virtual private network configuration and phishing attacks) across three key threat classifications of management, technical and human factors when remote working from the perspective of twenty industry experts. These findings offer key insights to emerging vulnerabilities, while also revealing defined strategies for organisations to help mitigate these challenges.

The Covid-19 pandemic has brought with it dramatic environmental changes, forcing organisations to adopt digital technologies on a wider scale, under significant time pressure. While the pandemic tested the agility and resilience of organisations, team dynamics and the implications of virtualisation on collaboration and creativity have become increasingly important for research (George et al., 2020) as the daily working routines in which employees have been embedded in for decades have become disrupted. The abrupt move to “working from home” that the pandemic created is arguably the most significant organisational design change in our lifetimes. Organisations are now asking how the virtualisation of work has impacted on the collaboration and communication necessary for driving innovation behaviour, and what strategies are available to develop remote innovation solutions. In this study, we explore organisational culture theory against the backdrop of digitally transforming innovation development as a result of the Covid-19 pandemic. This multi-layered model offers a useful framework for thinking about processes that foster innovation. By doing so, we investigate how organisations have adapted their approach to remote, collaborative innovation from the perspective of nineteen industry experts. The purpose of this study is to present the determinants of organisational culture to develop digital innovation in a hybrid working environment. Our findings reveal twelve distinct variables across the artifacts, values, and assumptions required to ensure digital innovation. These findings have implications for theory and practice, as it provides organisational leaders with a strategic understanding as to how a remote innovative culture can be developed, and subsequently exploited.

Artificial Intelligence (AI) is a highly disruptive technology that will have major effects on the business world over the coming years. It has the potential to allow companies to achieve major efficiency gains and a more productive workforce through automating existing processes, providing deeper levels of analytics, providing better customer support, and increasing security. On the other hand, it may lead to lower staff levels and a drop in existing employee morale. Given the complexities of these projects, AI will only benefit organisations if they understand its capabilities in addition to its shortcomings. This investigation addresses the predicted impact on skills, roles and employee morale of artificial intelligence on the workforce of the future as AI continues to become more prevalent in our society. We investigate these impacts of AI specifically across four key industries by engaging in interviews with experts in the field to answer two research questions: (i) What are the core impacts of introducing AI systems in the workplace?, and; (ii) How can organisations develop AI projects for successful transformation? The inclusion strategy for this research were professionals who were highly knowledgeable in the area, and from our findings we were able to identify several impacts that AI made to companies developing these projects; namely employment levels, workforce morale, and process efficiency. With these insights, we subsequently developed a roadmap which contains the recommended steps and decisions that are necessary for successfully introducing AI to an organisation. This roadmap visualises the key decisions and steps that are critical for any AI based initiative for organisations, which will provide practitioners with a higher level of understanding of what is expected, in addition to enabling more effective collaboration with the system developers. Furthermore, this roadmap allows organisations to take a positive and proactive approach to designing these systems with their workforce in mind and to prepares them for the implications with the development, deployment, and use of these AI systems.

Part 5: Research in ProgressInternational audienceDespite substantial research on electronic health (e-Health) adoption, there still exist vast differences between resource-rich and resource-poor populations regarding Information Technology adoption. To help bridge the technological gulf between developed and developing countries, this research-in-progress paper examines healthcare providers’ intention to adopt e-health technologies from two perspectives 1) contextual factors (i.e. specific to developing world settings) and 2) individual value dimensions (i.e. cultural, utilitarian, social and personal). The primary output of this paper is a theoretical model merging both the contextual factors and value dimensions; this forms a strong baseline to examine and help ensure the successful adoption of e-Health technologies within developing countries. Future research will be performed to validate the model developed in this paper, with a specific focus on mobile Health in Malawi, Africa