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    884 research outputs found

    Clarifying the Role of E-Government Trust in E-Government Success Models: A Meta-analytic Structural Equation Modeling Approach

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    E-government implementation success is of critical importance for nations. Prior information systems (IS) success models emphasize the effects of information quality, service quality, system quality, and user satisfaction but do not consider e-government trust. This study incorporates e-government trust into the IS success model and empirically tests the model on empirical findings reported in 67 prior studies using meta-analysis methods and structural equation modeling. Our analysis shows that: a) information quality, service quality, system quality, and user satisfaction influence e-government trust, and b) system use mediates the effect of e-government trust on intention to use e-government systems in the future

    Issues regarding IT Consumerization: How Mixed IT Portfolios of Private and Business IT Components Cause Unreliability

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    With increasing mobile work due to the COVID-19 pandemic, the usage and relevance of consumer IT for business purposes have substantially increased. In this light, an understudied area of IT consumerization, the adverse outcomes for employees using consumer IT for business purposes, is of major importance. We conduct a mixed-methods study to investigate the adverse outcomes of IT consumerization. We build on prior studies and end-user interviews to draw connections between IT consumerization and unreliability as one known technostressor. A quantitative survey of 162 full-time employees shows that IT consumerization is associated with increased unreliability. The users’ general computer self-efficacy, instead, decreases unreliability, and unreliability leads to various job-related and health-related outcomes. We show that unreliability is driven by users’ experience while trying to integrate private and business IT components for business purposes. We follow up on this observation through a qualitative analysis of open-ended survey questions to detail users’ experiences. Our findings emphasize the need to examine the negative outcomes of IT consumerization, despite its well-studied positive effects. We suggest that organizations should strive to integrate business and private IT as much as IT security constraints allow for reduced technostress

    Alignment of Big Data Perceptions Across Levels in Healthcare: The case of New Zealand

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    Big data and related technologies have the potential to transform healthcare sectors by facilitating improvements to healthcare planning and delivery. Big data research highlights the importance of aligning big data implementations with business needs to achieve success. In one of the first studies to examine the influence of big data on business-IT alignment in the healthcare sector, this paper addresses the question: how do stakeholders’ perceptions of big data influence alignment between big data technologies and healthcare sector needs across macro, meso, and micro levels in the New Zealand (NZ) healthcare sector? A qualitative inquiry was conducted using semi-structured interviews to understand perceptions of big data across the NZ healthcare sector. An application of a novel theory, Theory of Sociotechnical Representations (TSR), is used to examine people’s perceptions of big data technologies and their applicability in their day-to-day work. These representations are analysed at each level and then across levels to evaluate the degree of alignment. A social dimension lens to alignment was used to explore mutual understanding of big data across the sector. The findings show alignment across the sector through the shared understanding of the importance of data quality, the increasing challenges of privacy and security, and the importance of utilising modern and new data in measuring health outcomes. Areas of misalignment include the differing definitions of big data, as well as perceptions around data ownership, data sharing, use of patient-generated data and interoperability. Both practical and theoretical contributions of the study are discussed

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

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    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

    Social outcome expectations and women's intentions to return to IT employment

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    Women leaving IT employment for childcare or other reasons, and never returning, is a phenomenon that contributes to the underrepresentation of women in IT. However, potential women returners, women who have recently left IT employment and may or may not return, remain an under-researched group. We studied the effects of social outcome expectations on the intention to return to IT employment for 182 potential women returners from New Zealand, Australia, and the United States. The data were obtained via a survey questionnaire. Expectations of friendly co-workers, work-life balance, and family proximity were included; and the expectations of friendly co-workers had a statistically significant effect on the intentions of potential women returners to return to IT employment. The results highlight the difficulty of creating an environment that encourages potential women returners to return to IT because, unlike work-life balance or family proximity, friendly co-workers is a factor that is difficult to control via managerial interventions. For practice, the results suggest that organisations should promote an environment friendly to women, which in part may be achievable by implementing agile approaches to organizing IT work

    Prioritising sustainability factors for public-private partnership (PPP)-based mature telecentres using the ‘Akshaya’ project as a case

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    Telecentres are considered an essential information and communication technology (ICT) platform to deliver e-government services and play a vital role in reducing the digital divide, thereby enhancing access to e-government services. This study aimed to identify the factors that financially sustain a PPP-based mature telecentre and explore the hierarchy among these factors. An in-depth review of existing literature was conducted to identify sustainability factors. These factors were subjected to further validation through a qualitative field study. Then, interpretive structural modelling (ISM) was used to understand the interrelationships and identify the hierarchy between the identified factors. Finally, the decision-making trial and evaluation laboratory (DEMATEL) was used to validate the developed hierarchical model. The results indicated that in order of their hierarchy, ‘centre resources’, ‘affordability’, ‘quality of services’, ‘quality of operators’, and ‘convenience’ were the influential factors that sustained a mature telecentre. The critical role of village-level entrepreneurs and the importance of integration between public and private entities at each stage of the hierarchy were emphasised. This paper presents theoretical and practical implications for stakeholders to adopt appropriate measures to sustain telecentres

    Saving the environment from the internet: A polynomial mitigation model of reducing Individual Internet Consumption through Internet Pricing and Environmental Awareness

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    The ever-increasing internet usage purports to make substantial damage to the environment as a result of the emissions arising from the internet supporting infrastructures like data centers. However, there has been much less discussion on creating an awareness of the damage that the internet does to the environment. The purpose of this study is to investigate whether the internet use can be reduced at the individual level by calibrating internet price and one’s environmental awareness. The study employs a population-based survey experiment and conducts a polynomial regression analysis using a sample of 326 individuals to understand the conjoined relationship between internet price and environmental awareness. The results indicate that internet price affordability moderated the relationship between environmental awareness and internet usage. Although, before inducing awareness, pricing plays a major role in changing consumption, after inducing awareness the significance of pricing decreases, and awareness tends to determine the consumption. Moreover, the multi-group analysis infers that age does not show any significance on price affordability and environmental awareness, although males display a high price sensitivity and responsiveness towards awareness than their female counterparts

    Old But Not Out: Social Media Use and Older Adults' Life Satisfaction

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    Social media has the potential to have a positive influence on older adults' quality of life. This study explores how older adults use social media and the implications of the use on their life satisfaction. A sequential mixed-method approach is used. First, focus group interviews were conducted with older adults in Thailand, and a two-step sorting procedure is employed to develop comprehensive measures of social media use activity and their life domain affiliation. Next, a field survey is used to evaluate the influence of satisfaction from social media use on domain life satisfaction and overall life satisfaction. The findings suggest that older adults integrate social media into activities in several life domains, including family, friend, community, health, consumer, education, self, leisure, and social. Satisfaction from social media use activities positively associates with domain life satisfaction in all those life domains. The comprehensive measures of social media activities enable us to extensively theorize social media use and illustrate that it has a different meaning for older adults compared with young adults

    Book Review: Digitalization Cases Vol. 2 – Mastering Digital Transformation for Global Business

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    This is a book review of 'Digitalization Cases Vol. 2 – Mastering Digital Transformation for Global Business' edited by Nils Urbach, Maximilian Röglinger, Karlheinz Kautz, Rose Alinda Alias, Carol Saunders, Martin Wiener. The volume presents 20 case studies in the context of digitalization from four continents organized into three topical themes – Digital Disruption, Digital Business and Digital Transformation (DT). &nbsp

    Elucidating the role of emotion in privacy-concerns: A text-Convolutional Neural Network (Text-CNN)-based tweets analysis of contact tracing apps

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    The extant contact tracing privacy literature is yet to explore the significance of user emotions in privacy-related decision-making such as whether to use such potentially privacy-invasive apps. Using social media analytics, the present study examines users’ privacy-related emotions stimulated by privacy-related aspects of contact tracing apps. A text-Convolutional Neural Network (Text-CNN)-based emotion analysis of tweets on the Indian contact tracing app Aarogya Setu and its Singaporean counterpart TraceTogether conducted in the paper reveals that users expressed negative privacy-related emotions towards these apps indicating high levels of perceived privacy risks and the perceived lack of privacy protection. For TraceTogether, users have also exhibited positive emotions to appreciate the steps taken by the government to protect their privacy. Based on these findings, the government/data controllers can devise strategies to assuage users’ negative emotions and promote positive emotions to encourage the adoption of contact tracing apps. This work incorporates privacy related emotions as key informants about user privacy concerns within the Privacy Calculus Theory. By relying on candid user opinions available through rich but inexpensive user-generated content, the research provides a quick, reliable, and cost-effective approach to study potential app users’ emotions to gain insights into privacy concerns related to any e-governance platform

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