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    884 research outputs found

    Collaborative Modelling and Visualization of Business Ecosystems: Insights from two Action Design Research Case Studies

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    Business ecosystems are increasingly gaining relevance in research and practice. Because ecosystems progressively change, enterprises are required to analyse their ecosystem, in order to identify and respond to such changes. For gaining a comprehensive picture of the ecosystem, various enterprise stakeholders need to be involved in the analysis process. We use an Action Design Research approach to implement a collaborative process for modelling and visualizing business ecosystems in two case studies. We look at the challenges of the collaborative process and study how a model-driven approach addresses these challenges. We validate and discuss the modelling process along six steps; definition of the business ecosystem focus, model instantiation, data collection, provision of tailored visualizations, model adaption, and using visualizations ‘to tell a story’. In a cross-case analysis, we draw conclusions with respect to process implementation and the role of visualizations

    The Evolving Nature of Information Systems Controls in Healthcare Organisations: The Case of a Blood Banking Enterprise System from Western Europe

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    Information Systems (IS) projects are found to be complex, unpredictable, and prone to time and cost overruns. Perhaps that is why organisations put a strong focus on IS controls during the planning and execution of such projects.IS control literature in the past has focussed on dyadic control relationships during an outsourced IS development project and relatively little is known about such controls during a complex enterprise systems project. Existing studies usually take a static view of IS controls and do not investigate how controls evolve during different phases of the system lifecycle, as well as across projects. This study presents a processual view of IS controls in the enterprise systems lifecycle in a national blood processing organisation. Traditional research in a blood banking context has focussed on optimising the process of blood collection, inventory management, and distribution with relatively limited attention to the implementation of the supporting information systems. This research focusses on the evolution of control based on a study of three enterprise system implementation projects in the case organisation. The study demonstrates that while all five control modes (input, outcome, behaviour, clan, and self-control) are applied across the phases of enterprise systems projects, the nature and extent of control mechanisms changes across the phases of the enterprise system lifecycle. The findings also suggest a teleological evolution of a project’s control portfolio in which the portfolio evolves based on adaptive learning processes from earlier projects. Finally, by exhibiting the influence of institutional and market context, this study also underlines the multi-stakeholder and contextual nature of enterprise systems implementation and associated controls in health service organisations

    Does Consumers’ Intention to Purchase Travel Online Differ Across Generations? : Empirical Evidence from Australia

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    This paper examines the differences in consumers' intention to purchase travel online across Millennials and Baby Boomers. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) is extended by including attitude, compatibility, innovativeness, perceived trust, and perceived risk variables. Data is collected using online questionnaires from Millennials (N=322) and Baby Boomers (N=318) in Australia. Overall, the empirical results revealed that factors affecting Australian consumers' intention to purchase travel online differ across generations. This study contributes to the literature by extending and testing the comprehensive research model to understand consumers' online travel purchase behavior better

    Consumer acceptance and continuance of mobile money: Secondary data insights from Africa using the technology acceptance model

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    This research provides empirical results on context-based factors that determine the use of mobile money in Africa by employing a unique secondary data which provides a new perspective on the technology acceptance model (TAM) application. The hypothesised research model tests the context-based constructs to determine how these constructs affect peoples' intentions and attitudes towards the continued use of mobile money. Exploring these constructs provides an understanding of the insights into the marketing campaigns and growth of mobile money providers. The empirical results suggest that the availability of electricity is an important factor for mobile phone functionality and ongoing use of mobile money in the long run. There is also a correlation between regulations that are perceived to be enabling and the intentions of individuals to continue using mobile money. However, there is a negative correlation between rural dwellings and the intentions of individuals to adopt the use of mobile money which finds its basis in the inadequate mobile networks and national grid systems in rural areas

    Identification of Enterprise Social Network (ESN) Group Archetypes in ESN Analytics: Metrics Selection and Case Application

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    With the proliferation of Enterprise Social Networks (ESN), the measurement of ESN activity becomes increasingly relevant. The emerging field of ESN analytics aims to develop metrics and models to measure and classify user activity to support organisational goals and outcomes. In this paper we focus on a neglected area of ESN analytics, the classification of activity in ESN groups. We engage in explorative research to identify a set of metrics that divides an ESN group sample into distinct types. We collaborate with Sydney-based service provider SWOOP Analytics who provided access to actual ESN meta data describing activity in 350 groups across three organisations. By employing clustering techniques, we derive a set of four group types: broadcast streams, information forums, communities of practice and project teams. We collect and reflect on feedback from ESN champions in fourteen organisations. For ESN analytics research we contribute a set of metrics and group types. For practice we envision a method that enables group managers to compare aspirations for their groups to embody a certain group type, with actual activity patterns

    Cybersecurity, value sensing robots for LGBTIQ+ elderly, and the need for revised codes of conduct

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    Until now, each profession has developed their professional codes of conduct independently. However, the use of robots and artificial intelligence is blurring professional delineations: aged care nurses work with lifting robots, tablet computers, and intelligent diagnostic systems, and health information system designers work with clinical teams. While robots assist the medical staff in extending the professional service they provide, it is not clear how professions adhere and adapt to the new reality. In this article, we reflect on how the insertion of robots may shape codes of conduct, in particular with regards to cybersecurity. We do so by focusing on the use of social robots for helping LGBTIQ+ elderly cope with loneliness and depression. Using robots in such a delicate domain of application changes how care is delivered, as now alongside the caregiver, there is a cyber-physical health information system that can learn from experience and act autonomously. Our contribution stresses the importance of including cybersecurity considerations in codes of conduct for both robot developers and caregivers as it is the human and not the machine which is responsible for ensuring the system’s security and the user’s safety

    A Post Publication Review of 'The impact of telehealth technology on user perception of wellbeing and social functioning, and the implications for service providers'

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    This post publication review discusses the article by Burmeister et al. (2019) in which the authors present a study evaluating the social, economic, and wellbeing impacts of telehealth technology in the homes of community-dwelling older persons, highlighting its contribution and identifying areas for further research. The article centres on one particular project in which telehealth monitoring systems were used in homes in regional New South Wales

    Towards Using Value Tensions to Reframe the Value of Data Beyond Market-based Online Social Norms

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    Making sense of data, its value and impact is imperative for individuals, organisations and societies to function in the cyber age. The online interactions through which data flows present many benefits. However, the consumption of data and its value is problematic due to an overreliance on market norms as a substitute for values-based online social norms and practices, creating value tensions. Understanding the implications of data is further complicated due to the complex contextual nature of online interactions. These challenges are addressed through efforts from technology organisations and policy initiatives. Largely absent from these efforts is an understanding of the values needed to ground healthy online social interactions, and processes that nurture and afford the practice of these values in contextual community settings. Value tensions as an ethics tool can surface and clarify these interpersonal needs in understanding data and its impact. Communities may be appropriately placed to grapple with these value tensions given the contextual nature of interactions. This discussion paper presents a preliminary research agenda raising questions on uncovering value tensions and understanding the values at stake to transform data practices and develop healthy online social norms, to reframe the value of data beyond market-based online social norms

    The Three Harms of Gendered Technology

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    Marginalised groups experience both immediate and long-term detriment as a result of innovations in information systems. This paper explores three facets of technologically related gendered harm: physical, institutional, and psychological. These harms will be demonstrated by case studies. Firstly, technology can cause physical harm by denying women their bodily autonomy, demonstrated by the public availability of AI software that generates nude pictures of women, and smart home devices used in instances of domestic abuse. Secondly, technology can deny women institutional access, as increasingly widespread algorithms are shown to underperform on marginalised groups. Thirdly, anthropomorphised technology reflects and entrenches harmful stereotypes of women’s submissiveness, causing psychological harm. Reducing harm must go beyond ensuring a diversity of representation in STEM fields. We conclude that effective regulation should focus on the design features in technological innovations

    Consumer Trust in Food Safety Requires Information Transparency

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    This paper proposes a conceptual model to understand how information transparency matters can support consumer trust in food safety. Beside food labels, food product information can be disseminated by the support of technologies including traceability systems and social media. This article studies extant literature to provide a knowledge base for the development of a conceptual model. Information provided by traceability systems is deemed to increase a consumer’s knowledge of a food product. Furthermore, social media is considered as a well-informed source that provides some useful information to consumers. Therefore, we argue that technology-supported information supports and enhances the information consumers need to make their own judgement about the safety of a food product. Three testable propositions are developed from a conceptual model that provides insights into food information that consumers find helpful for developing trust in food safety

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