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This research analyzed the existing academic and grey literature concerning the technologies and practices of people analytics (PA), to understand how ethical considerations are being discussed by researchers, industry experts and practitioners, and to identify gaps, priorities and recommendations for ethical practice.

An iterative “scoping review” method was used to capture and synthesize relevant academic and grey literature. This is suited to emerging areas of innovation where formal research lags behind evidence from professional or technical sources.

Although the grey literature contains a growing stream of publications aimed at helping PA practitioners to “be ethical,” overall, research on ethical issues in PA is still at an early stage. Optimistic and technocentric perspectives dominate the PA discourse, although key themes seen in the wider literature on digital/data ethics are also evident. Risks and recommendations for PA projects concerned transparency and diverse stakeholder inclusion, respecting privacy rights, fair and proportionate use of data, fostering a systemic culture of ethical practice, delivering benefits for employees, including ethical outcomes in business models, ensuring legal compliance and using ethical charters.

This research adds to current debates over the future of work and employment in a digitized, algorithm-driven society.

The research provides an accessible summary of the risks, opportunities, trade-offs and regulatory issues for PA, as well as a framework for integrating ethical strategies and practices.

By using a scoping methodology to surface and analyze diverse literatures, this study fills a gap in existing knowledge on ethical aspects of PA. The findings can inform future academic research, organizations using or considering PA products, professional associations developing relevant guidelines and policymakers adapting regulations. It is also timely, given the increase in digital monitoring of employees working from home during the Covid-19 pandemic.

Digital transformation projects are complex, lengthy and difficult to implement, often failing to meet their objectives. Previous research has attributed this failure to competing institutional logics influencing actors’ coping responses, and differences in actors’ interpretations of the project’s goals, technology and processes - their “organising vision”. The purpose of this paper is to analyse a complex technology implementation project from an institutional perspective, to further elucidate the role of multiple logics and organising vision.

A qualitative single study approach was used to investigate a public-sector technology project aimed at delivering a unified Human resource information system (HRIS) across regional health organisations in one country.

Four logics characterised the project (public sector, professional, corporate and market), but their relative dominance shifted as the project transitioned through stages, from comprehension to implementation. These shifts exposed tensions between components of actors’ organising vision, which influenced their coping behaviours in response to unexpected changes in the project’s strategic ambitions and technological scope. Coherence of vision, both within groups of actors and between them, was a key mediator of coping responses and project outcomes.

This analysis demonstrates the role of actors’ organising vision in bridging institutional logics and coping responses to shape digital transformation projects. It highlights the need to account not only for diverse institutional logics, but also for their changing influence as projects unfold and actors’ attention is directed onto different aspects of the organising vision. From a management perspective, it illustrates the importance of clear and consistent communication, to avoid entrenching conflicting interpretations.

More research is needed to understand the online shopping behaviors and intentions of consumers in emerging economies. The purpose of this paper is to examine the extent to which key variables from the Technology Acceptance Model (perceived usefulness (PU) and ease of use (PEOU)), and others theoretically associated with digital engagement (distrust, perceived risk (PR), perceived enjoyment (PE) and legal framework (LF)), accounted for variation in online shopping intentions in Pakistan, focussing on affiliates of a large metropolitan university.

Online survey using a convenience sample of university staff, students and alumni recruited through the university’s online network. A questionnaire capturing the above constructs was tested for content validity and reliability prior to dissemination. The survey results were factor analyzed to determine the degree to which the constructs were independent, and regression was used to examine their ability to predict online purchasing intentions. User characteristics were analyzed descriptively.

All six independent factors, PU, PEOU, PR, PE, distrust and LF, in the model were independently predictive of intention to shop online and supported the theoretical model by demonstrating the predicted direction of the relationship.

There are limitations in the generalizability of the findings. Most of the data being collected were only from Karachi, the biggest metropolitan city and the business hub of Pakistan.

This research may help retailers in becoming e-tailers. The model would also help existing e-tailers to streamline their business according to the research findings. In addition, government may work on policies to provide a better online business environment to the people of Pakistan.

A new online shopping model has been discovered for an emerging market, Pakistan. Developing countries could take advantage of this model to get real insights of their e-tailing industry.

The rapid advancement of technology has transformed the health-care industry and enabled the emergence of m-Health solutions such as health apps. The viability and success of these apps depends on the definition of a monetization model appropriate to their specificities. In this sense, the purpose of this paper is to study the mechanisms of monetization of health apps, to stablish how alternative revenues determine if a health app is to be free or paid.

Probability models are used to identify the factors that explain if a health app is free or paid.

Results show that the presence of alternative monetization mechanisms negatively impacts the likelihood of a health app being paid for. The use of personal data to customize advertising (the monetization of “privacy capital”) or the inclusion of ads on the app are alternative means of monetization with potential to decrease the likelihood of a health app being paid for. The possibility of in-app purchases has a lower negative impact on the probability of a health app being paid for. The choice of platform to commercialize an app is also a strategic decision that influences the likelihood of an app being paid for.

This work stands out for bringing together the two largest platforms present in Portugal and for focusing on the perspective of revenue and monetization of health apps and not on the perspective of downloads.