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Information systems (IS) research in general and health IS studies, in particular, are prone to a positivity bias – largely focusing on upside gains rather than the potential misuse practices. This paper aims to explore failures in health IS use and shortcomings in data privacy and cybersecurity and to provide an explanatory model for health record misuse.

This research is based on four data sets that we collected through a longitudinal project studying digital health (implementation, use and evaluation), interviews with experts (cybersecurity and digital health) and healthcare stakeholders (health professionals and managers). We applied qualitative analysis to explain health records misuse from a sociotechnical perspective.

We propose a contextualized model of “health records misuse” with two overarching dimensions: data misfit and improper data processing. We explain sub-categories of data misfit: availability misfit, meaning misfit and place misfit, as well as sub-categories of improper data processing: improper interaction and improper use-related actions. Our findings demonstrate how health records misuse can emerge in sociotechnical health systems and impact health service delivery and patient safety.

Through contextualizing system misuse in healthcare, this research advances the understanding of ineffective use and failures in health data protection practices. Our proposed theoretical model provides explanations for unique patterns of IS misuse in healthcare, where data protection failures are consequential for healthcare organizations and patient safety.

Digital transformations represent an increasingly salient empirical phenomena for institutionalists studying the processes by which institutions evolve, erode, or otherwise change. Yet, there have been few meaningful attempts to engage with insights from the information systems (IS) literature, despite digital innovation and diffusion falling squarely within its domain. This essay makes an initial attempt at integration by offering a two-by-two framework which crosses salient theoretical categories within the IS and institutional literatures. From the former, we draw on concepts of system acceptance and resistance, and from the latter, we draw on concepts of institutional maintenance and change. Each quadrant in our framework represents user responses happening because of, in reaction to, or toward various institutional dynamics. We illustrate each quadrant with data collected as part of a study of digital transformation in the field of public healthcare in Australia. We use our illustrative case to open up research questions which researchers might use to frame their own studies of digital transformations as a form of institutional change. We conclude with a discussion of what other theoretical advances or insights might be yielded from greater collaboration between institutionalists and IS scholars. This essay contributes to the nascent study of digital transformations as a form of institutional change through examining how complementary concepts of the IS and institutional literatures might be used simultaneously to understand the intersection of digital innovation and diffusion and the institutional arrangements governing the fields which they change.

This paper aims to develop a digital transformation model in hospitals. This study proposes a digital transformation model in hospitals by formulating dimensions and sub-dimensions. The proposed hospital digital transformation model outlines why and how each of dimensions and sub-dimensions are important in the hospital digital transformation model.

This study chose the type of qualitative research using a phenomenology approach. This study used observation techniques and in-depth interviews with 11 informants and conducted group discussion forums with information technology governance experts, a hospital information technology department manager who has an information technology background, and doctor representatives. The data were documented and analyzed using triangulation techniques.

This research provides empirical insights into the dimensions and sub-dimensions of hospital digital transformation models. The findings of the digital transformation dimension in hospitals are 7 dimensions and 37 sub-dimensions, namely, the governance and management dimension which has 8 sub-dimensions; the person has 9 sub-dimensions; strategy dimension which has 5 sub-dimensions; information technology capability has 3 sub-dimensions; the data interoperability dimension has 3 sub-dimensions; the data analytics dimension has 5 sub-dimensions; patient dimensions have 4 sub-dimensions; the findings of the sub-dimensions involved in the digital transformation dimension of the hospital can provide input on the accuracy of the indicators measuring the hospital’s digital transformation.

This research is limited to the qualitative type of phenomenology approach so that future research can test empirically with quantitative methods with techniques through surveys of dimensional and sub-dimensional relationships to hospital digital transformation. The researchers also recommend further assessing the findings of this paper which can develop as a model for measuring the maturity of hospital digital transformation.

This paper covers the implications of developing a hospital digital transformation model that can be used to organize and manage hospital digital transformation.

This paper can be used as a guideline for hospital stakeholders when carrying out digital transformation. This paper can be used as a reference for further research to find, study and develop dimensions and sub-dimensions of digital transformation models.

This essay addresses the topic of research lifeworlds and personal lifeworlds and what we gain and lose as researchers, and as people, from their overlaps and collisions. The essay analyses six narrative accounts of the authors lived experience of a unique collision between research and personal lifeworlds when the researcher-mother presented with her sick daughter to the hospital emergency department that served as the field site for her own research. This analysis revealed the following themes through which a researcher’s personhood animates the research process: feeling exposed but empowered; gaining conceptual clarity while opening up ethical ambiguity; and becoming liminal because of identity shifts and coping through self-reflexivity. The essay contributes to our collective understanding and shared learning of the ways a researcher’s personhood shapes, and is shaped by, the research process and (re)production of knowledge.

Due to lack of motivation, individuals often fail to perform regular exercise. In view of this, we developed a virtual trainer system (VTS) to encourage users to perform simple exercise routines regularly.

A design science approach is adopted to develop a VTS to motivate users to exercise. Study findings are based on a field experiment with 91 participants recruited from a university in Hong Kong.

Outcome-oriented reminders foster stronger perceived risks of health and perceived value of exercises, whereas virtual trainer attractiveness has insignificant effect. Perceived value of exercises is positively related to exercise participation, which has a positive relationship with work productivity.

The findings answer question of how to motivate people to continue exercising.

Findings provide insights for fitness companies to design online exercise training for users.

VTS can promote regular exercise and healthy life.

This research shows that interactive virtual agents can motivate users to exercise regularly. It contributes to the burgeoning research on the use of IT artifacts for improving exercise participation and provides practical insights into VTS designs.

This paper aims to discuss how knowledge‐pull from external knowledge sources could systemise knowledge exchange as a knowledge management (KM) initiative and to argue how it could contribute to successful application of innovative techniques.

Soft System Methodology (SSM) used to carry out a case study on a specific innovation diffusion initiative within an organisation.

Construction organisations need to actively participate in knowledge activities possibly organised through universities or other research bodies. This interaction bridges the gap between research and its practical implementation. Much useful academic research goes unnoticed because of a lack of interest by construction organisations in attending knowledge events such as conferences, symposiums or run joint research programs with the academia.

Study recommendations have specific relevance to the organisation under study rather than being more widely generalisable. Only one innovation diffusion example was focused on. However, the SSM approach is generalisable in the study of problems and issues raised and to identify a proposed solution.

This research highlights the gap that exists between academic knowledge and its practical use by construction organisations. Construction organisations and external knowledge sources (e.g. academia) need to think positively about how to make collaboration more practically useful to organisations.

The research provides a template of how one major construction contractor benefited from its approach to participating in external knowledge activities and explains using SSM how it successfully used knowledge‐pull for delivering significant benefit from diffusing an externally developed innovation.

Human resource managers are adopting AI technology for conducting various tasks of human resource management, starting from manpower planning till employee exit. AI technology is prominently used for talent acquisition in organizations. This research investigates the adoption of AI technology for talent acquisition.

This study employs Technology-Organization-Environment (TOE) and Task-Technology-Fit (TTF) framework and proposes a model to explore the adoption of AI technology for talent acquisition. The survey was conducted among the 562 human resource managers and talent acquisition managers with a structured questionnaire. The analysis of data was completed using PLS-SEM.

This research reveals that cost-effectiveness, relative advantage, top management support, HR readiness, competitive pressure and support from AI vendors positively affect AI technology adoption for talent acquisition. Security and privacy issues negatively influence the adoption of AI technology. It is found that task and technology characteristics influence the task technology fit of AI technology for talent acquisition. Adoption and task technology fit of AI technology influence the actual usage of AI technology for talent acquisition. It is revealed that stickiness to traditional talent acquisition methods negatively moderates the association between adoption and actual usage of AI technology for talent acquisition. The proposed model was empirically validated and revealed the predictors of adoption and actual usage of AI technology for talent acquisition.

This paper provides the predictors of the adoption of AI technology for talent acquisition, which is emerging extensively in the human resource domain. It provides vital insights to the human resource managers to benchmark AI technology required for talent acquisition. Marketers can develop their marketing plan considering the factors of adoption. It would help designers to understand the factors of adoption and design the AI technology algorithms and applications for talent acquisition. It contributes to advance the literature of technology adoption by interweaving it with the human resource domain literature on talent acquisition.

This research uniquely validates the model for the adoption of AI technology for talent acquisition using the TOE and TTF framework. It reveals the factors influencing the adoption and actual usage of AI technology for talent acquisition.

Professional communities are capable of maintaining their social status and role in society on the basis of a blend of technical and formal expertise, know‐how, and an understanding of the non‐professional's demands and expectations. In architectural work, professional expertise largely centres on the visual capacities of the architect, his or her ability to extract useful information and communicate objectives and ideas on the basis of visual artifacts. However, this professional vision must always be double in terms of alternating between professional and non‐professional ways of seeing. The purpose of this paper is to address these issues.

The research was based on a case study of a Scandinavian firm of architects, Blue Architects (a pseudonym).

The findings suggest that practising architects are highly aware of the societal role of their profession and the fact that there are a number of routines and mechanisms instituted by the firm which help the architect, newcomers as well as the more seasoned members of that community, to bridge and combine these two elements of their professional vision.

The study suggests that professional vision is a key term when examining visually‐oriented professions. However, this capacity to “see as an architect” does need to be a kind of split vision; both seeing as and seeing beyond the visual artifact produced. The study thus contributes toward understanding visually‐oriented professions and their relationship with lay knowledge.