14 research outputs found

    UNDERSTANDING THE MEDIATING ROLE OF SOCIAL MEDIA IN VIRTUAL TEAM CONFLICTS

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    Communication technology is recognized as an important component of a virtual team (VT). Communication technologies other than social media have been linked to VT conflicts by prior research. This research in progress explores using social media to see if any improvements can be made to conflicts in VTs. The researchers emphasize on the “feature richness” of social media which is understood as affordances of social media and it distinguishes social media from other commonly used communication technologies in a VT environment. The researchers theorize that “feature richness” rather than “media richness” of the communication technology can be more beneficial for a virtual team since it is hoped to simultaneously work towards reducing VT conflicts. The researchers propose a conceptual research model that contributes to understanding the mediating role that social media can play in virtual team conflicts

    Examining the Effect of Social Media Tools on Virtual Team Conflicts: A Process Model

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    This research investigates how the use of social media tools affects virtual team conflicts. The novel concept of “feature richness”, which is understood as affordances of social media tools, is theorized. Feature richness distinguishes social media tools from other commonly used communication tools in virtual teams. The researchers propose a process model which suggests that operationally, feature richness is understood as the process nature of social media tools. The primary data was collected at corporate organizations in form of a Likert questionnaire. The research findings reveal that social media tools lead to effective communication, which encourages the development of trust, team cohesion and satisfaction in virtual teams. This further reflects in form of reduced virtual team conflicts

    AN INVESTIGATION INTO ENTERPRISE RESOURCE PLANNING IMPLEMENTATION SUCCESS: EVIDENCE FROM PRIVATE AND PUBLIC SECTOR ORGANIZATIONS

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    Enterprise resource planning systems are adopted to improve productivity and overall business performance in organizations. Implementation of these systems requires considerable financial and labour investment and therefore, the managers must understand the benefits of the system and the aspects of the system which need improvement. An approach to evaluate and track an ERP system’s success in corporate organizations is therefore, important. In this study, the success of ERP system is measured through the Ifinedo model and a comparison between private and public organizations is made. Interviews conducted by the researchers introduce factors influencing ERP implementation success in organizations. In addition, to understand why some organizations have achieved more ERP success than others, questionnaire responses to some identified critical success factors for ERP implementation are analyzed

    Transfer of electronic commerce trust between brick-and-mortar and online business environments

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    Through experimentation, we establish a causal relationship between trust and the expansion of a retailer from online to brick-and-mortar and vice versa. Trust is multidimensional and contingent on the distribution path first chosen. Vendor trustworthiness (knowledge-based) and technological trustworthiness (institution-based) have different effects depending on the initial and new distribution channel. Expanding from brick-and-mortar to online negatively affects technology-based trust, while transfers from an online to a physical location maintain the same level of technology-based trust. Vendor-based trust is positively affected by transfer from online to the brick-and-mortar location, and is not significantly unaffected by transfers from brick and-mortar to online locations. The perceived “permanence” of a physical location influences consumer beliefs about the location’s trustworthiness

    A Comparative Study of the Effect of Blogs and Email on Virtual Team Performance

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    Virtual Teams (VTs) offer great advantages but have different challenges compared with co-located teams. This study explores using blogs and email to see if improvements can be made to virtual team effectiveness. This preliminary study is qualitative in nature and uses a quasi-experiment to compare 2 teams performing the same project; one uses email while the other uses a blog tool. Once the project was complete the participants filled out a Q-sort and a short survey. Additional analysis of the artefacts generated by the experiments also form part of the result set. The key benefits of using the blog were hoped to be; increase team trust, increase team performance and output, increase team satisfaction and realise a communication tool that could be used in a virtual team environment. The main findings were; the qualities of the output deliverable from both teams were nearly the same; those using the blog reported ‘having a sense of fun’ and ‘individual satisfaction’, while the email team reported ‘the current status of the project was easily viewed’

    Soft systems modelling of design artefacts for blockchain-enabled precision healthcare as a service

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    Precision Healthcare (PHC) is a disruptive innovation in digital health that can support mass customisation. However, despite the potential, recent studies show that PHC is ineffectual due to the lower patient adoption into the system. This paper presents a Blockchain-enabled PHC ecosystem that addresses ongoing issues and challenges regarding low opt-in rates. Soft Systems Methodology was adopted to create and validate UML design artefacts. Research findings report that there is a need for data-driven, secure, transparent, scalable, individualised and precise medicine for the sustainability of healthcare and suggests further research and industry application of explainable AI, data standards for biosensor devices, affordable Blockchain solutions for storage, privacy and security policy, interoperability, and user-centricity

    A systematic review of emerging information technologies for sustainable data-centric health-care

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    © 2021 Elsevier B.V. Background: Of the Sustainable Development Goals (SDGs), the third presents the opportunity for a predictive universal digital healthcare ecosystem, capable of informing early warning, assisting in risk reduction and guiding management of national and global health risks. However, in reality, the existing technology infrastructure of digital healthcare systems is insufficient, failing to satisfy current and future data needs. Objective: This paper systematically reviews emerging information technologies for data modelling and analytics that have potential to achieve Data-Centric Health-Care (DCHC) for the envisioned objective of sustainable healthcare. The goal of this review is to: 1) identify emerging information technologies with potential for data modelling and analytics, and 2) explore recent research of these technologies in DCHC. Findings: A total of 1619 relevant papers have been identified and analysed in this review. Of these, 69 were probed deeply. Our analysis found that the extant research focused on elder care, rehabilitation, chronic diseases, and healthcare service delivery. Use-cases of the emerging information technologies included providing assistance, monitoring, self-care and self-management, diagnosis, risk prediction, well-being awareness, personalized healthcare, and qualitative and/or quantitative service enhancement. Limitations identified in the studies included vendor hardware specificity, issues with user interface and usability, inadequate features, interoperability, scalability, and compatibility, unjustifiable costs and insufficient evaluation in terms of validation. Conclusion: Achievement of a predictive universal digital healthcare ecosystem in the current context is a challenge. State-of-the-art technologies demand user centric design, data privacy and protection measures, transparency, interoperability, scalability, and compatibility to achieve the SDG objective of sustainable healthcare by 2030

    An Analysis of Personal Information Privacy Concerns using Q-Methodology

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    Information privacy has gained increased attention in recent years. This paper focuses on a particular aspect of privacy, i.e., personal information privacy. In this paper a conceptual framework is developed based Westin’s theory of Personal Information Privacy (PIP). Concourse theory and Q-methodology was used alongside the literature and the New Zealand Privacy Act 1993 to develop a Q-sort questionnaire. The resulting 29 statements were then sorted by 12 students (majoring in IS Security). The results indicate that for some, privacy priorities may be stable across contexts, and for others this differs, suggesting that current views of privacy (e.g. Westin’s theory) may need revising for the modern digital age. The Q-sort methodology also identified three types, each representing distinct collective perspectives on personal information privacy. These types are discussed along with implications and suggestions for future research

    CEO Decision Making under Crisis: An Agency Theory Perspective

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    Organisational resilience has gained increasing attention in recent years. This paper focuses on information systems resilience, which is an aspect of organisational resilience. Given the potentially devastating implications of disruptions to organisations, understanding the dynamics of the successful adaption of IS within organisations indicates an important avenue for future research. In this paper, we adopt Agency Theory to develop a conceptual framework, focused on decision making and planning for IS resilience. Concourse theory and Q-methodology were used to develop a Q-sort questionnaire, which was refined through interviews with researchers and IS professionals. The resulting 37 statements were then sorted by eight CEOs of Small Medium Enterprises (SME). Q-sort methodology identified three types of decision makers from the data, each representing distinct collective perspectives. These types are described and discussed, along with implications of findings as well as suggestions for future research. Available at: https://aisel.aisnet.org/pajais/vol9/iss2/2

    FROM PRAGMATIST TO PASSENGER – A Q METHODOLOGICAL STUDY OF CONNECTIVITY TYPES

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    Constant connectivity, which is the phenomenon of being connected anytime and anywhere has been drawing increasing attention among researchers. Existing research almost exclusively focus on specif-ic devices or applications. In addition, there is only little research, which considers that different types of users react differently to the phenomenon of constant connectivity and develop very different cop-ing strategies. In other words, there is little understanding how knowledge workers deal with constant connectivity and how their connectivity behaviour differ from each other. To close these gaps we con-ducted a Q methodological study among IT consultants and developed a typology of different individ-uals. Our results reveal four types, which are the pragmatist, bricoleur, maniac, and passenger. The types differ significantly in terms of key aspects of constant connectivity, such as responsiveness and autonomy; they cover a complexity of various dimensions and are dynamic in nature. We compare these types against typologies from the literature and identify similarities and differences. Our study’s main contribution lies in establishing connectivity types that address constant connectivity as a whole and are well suited to describe and explain connectivity related behaviour in the real world
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