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The purpose of this general review is to address the evolution and development of the Fair Information Practice Principles (FIPPs).

This study presents FIPPs from several establishments, compare them and map them to the General Data Protection Regulation (GDPR). Additionally, this study presents and discuss similarities and differences among FIPP sets.

Although the subject matter of the FIPP sets is very similar, there are differences: their scope differs significantly. The comparison among FIPP sets is presented, and it provides relevant information related to the connectedness between privacy principles.

This study considers the GDPR to be the pinnacle of the efforts to improve personal data protection; it became a role model for other countries to implement similar regulations.

The data economy mainly relies on the surveillance capitalism business model, enabling companies to monetize their data. The surveillance allows for transforming private human experiences into behavioral data that can be harnessed in the marketing sphere. This study aims to focus on investigating the domain of data economy with the methodological lens of quantitative bibliometric analysis of published literature.

The bibliometric analysis seeks to unravel trends and timelines for the emergence of the data economy, its conceptualization, scientific progression and thematic synergy that could predict the future of the field. A total of 591 data between 2008 and June 2021 were used in the analysis with the Biblioshiny app on the web interfaced and VOSviewer version 1.6.16 to analyze data from Web of Science and Scopus.

This study combined findable, accessible, interoperable and reusable (FAIR) data and data economy and contributed to the literature on big data, information discovery and delivery by shedding light on the conceptual, intellectual and social structure of data economy and demonstrating data relevance as a key strategic asset for companies and academia now and in the future.

Findings from this study provide a steppingstone for researchers who may engage in further empirical and longitudinal studies by employing, for example, a quantitative and systematic review approach. In addition, future research could expand the scope of this study beyond FAIR data and data economy to examine aspects such as theories and show a plausible explanation of several phenomena in the emerging field.

The researchers can use the results of this study as a steppingstone for further empirical and longitudinal studies.

This study confirmed the relevance of data to society and revealed some gaps to be undertaken for the future.

Upcycling is conceptualised as a digital historical research practice aimed at increasing the scientific value of historical data collections produced in print or in electronic form between the eighteenth and the late twentieth centuries. The concept of upcycling facilitates data rescue and reuse as well as the study of information creation processes deployed by previous generations of researchers.

Based on a selection of two historical reference works and two legacy collections, an upcycling workflow consisting of three parts (input, processing and documentation and output) is developed. The workflow facilitates the study of historical information creation processes based on paradata analysis and targets the cognitive processes that precede and accompany the creation of historical data collections.

The proposed upcycling workflow furthers the understanding of computational methods and their role in historical research. Through its focus on the information creation processes that precede and accompany historical research, the upcycling workflow contributes to historical data criticism and digital hermeneutics.

Many historical data collections produced between the eighteenth and the late twentieth century do not comply with the principles of FAIR data. The paper argues that ignoring the work of previous generations of researchers is not an option, because it would make current research practices more vulnerable and would result in losing access to the experiences and knowledge accumulated by previous generations of scientists. The proposed upcycling workflow takes historical data collections seriously and makes them available for future generations of researchers.

This study addresses the need for a theory-guided, rich, descriptive account of research data repositories' (RDRs) understanding of data quality and the structures of their data quality assurance (DQA) activities. Its findings can help develop operational DQA models and best practice guides and identify opportunities for innovation in the DQA activities.

The study analyzed 122 data repositories' applications for the Core Trustworthy Data Repositories, interview transcripts of 32 curators and repository managers and data curation-related webpages of their repository websites. The combined dataset represented 146 unique RDRs. The study was guided by a theoretical framework comprising activity theory and an information quality evaluation framework.

The study provided a theory-based examination of the DQA practices of RDRs summarized as a conceptual model. The authors identified three DQA activities: evaluation, intervention and communication and their structures, including activity motivations, roles played and mediating tools and rules and standards. When defining data quality, study participants went beyond the traditional definition of data quality and referenced seven facets of ethical and effective information systems in addition to data quality. Furthermore, the participants and RDRs referenced 13 dimensions in their DQA models. The study revealed that DQA activities were prioritized by data value, level of quality, available expertise, cost and funding incentives.

The study's findings can inform the design and construction of digital research data curation infrastructure components on university campuses that aim to provide access not just to big data but trustworthy data. Communities of practice focused on repositories and archives could consider adding FAIR operationalizations, extensions and metrics focused on data quality. The availability of such metrics and associated measurements can help reusers determine whether they can trust and reuse a particular dataset. The findings of this study can help to develop such data quality assessment metrics and intervention strategies in a sound and systematic way.

To the best of the authors' knowledge, this paper is the first data quality theory guided examination of DQA practices in RDRs.

This research aims to explore people management (PM) dimensions in Nepalese recycling startups (R-startups).

It follows a case study and qualitative research approach. Information is collected from Internet searches and R-startups’ blogs. For research purposes, 12 cases out of 30 R-startups are selected using convenient and purposeful non-probability sampling methods.

Three major findings are as follows: (1) the founders of R-startups have become more environmentally aware and motivated to source materials, manufacture products and deliver them without harming the environment; (2) the founders are establishing work-flow to create future employment opportunities and (3) the PM dimensions in R-startups appear to be sustainable and apparently linked with Sustainable Development Goal (SDG) 12.5, which aims to reduce waste generation substantially through prevention, reduction, recycling and reuse.

Since researchers use widely accessible internet information, there is no possibility of interfering with the website's text and data. The analysis is solely based on the opinions of founders/co-founders of R-startups.

This research presents PM dimensions in R-startups and contributes to the literature in this new field of study. Although on a small scale, this research can provide a basis for minimizing circulatory gaps and closing the loop through circular business (CB). It also provides insights into managing waste in order to create opportunities and wealth.

This is one of the few unexplored areas of academic research. The critical PM dimensions investigated in this study can serve as a baseline for future theoretical development in the context of a specific country.

This paper aims to highlight the importance of open data and the role that knowledge management and open innovation can play in its identification and use. Open data has great potential to create social and economic value, but its main problem is that it is often not easily reusable. The aim of this paper is to propose a unique identifier for open data-sets that would facilitate search and access to them and help to reduce heterogeneity in the publication of data in open data portals.

Considering a model of the impact process of open data reuse and based on the digital object identifier system, this paper develops a proposal of a unique identifier for open data-sets called Open Data-set Identifier (OpenDatId).

This paper presents some examples of the application and advantages of OpenDatId. For example, users can easily consult the available content catalogues, search the data in an automated way and examine the content for reuse. It is also possible to find out where this data comes from, solving the problems caused by the increasingly frequent federation of data in open data portals and enabling the creation of additional services based on open data.

From an integrated perspective of knowledge management and open innovation, this paper presents a new unique identifier for open data-sets (OpenDatId) and a new concept for data-set, the FAIR Open Data-sets.

The objective of this study is to construct a theoretical framework concerning wage determination, grounded in principles and supplemented by conventional theories. It discusses the Islamic perspectives on minimum wage and examines contemporary challenges and intricacies in its application.

This study uses thematic analysis to create the conceptual framework, drawing upon a review of pertinent literature such as academic papers, books and articles published up to 2023.

The framework encompasses various categories, namely, employee characteristics, job characteristics, market factors, compensation practices and Islamic principles. Each category consists of multiple variables. The resulting framework offers a holistic and ethically grounded methodology for wage determination, aligning with both Islamic and conventional perspectives. This study notes the absence of a universally agreed-upon minimum wage. Islamic economics faces challenges due to the unclear application of principles, limited awareness, legal constraints and a lack of empirical evidence on wage systems, along with complexities in their implementation.

The paper’s limited scope focuses solely on the Islamic perspective on wage determination, without comparing it to the conventional viewpoint. This may have implications for future research.

The insights on Islamic principles and wage determination guide scholars and policymakers interested in promoting just and equitable wages.

This study is distinct in its integration of various factors to propose an all-encompassing framework for wage determination, rooted in the Quran and principles, while also reinforcing the framework with conventional theories. Additionally, it adds to the growing body of literature by investigating the Quran’s stance and principles on minimum wage, as well as discusses the challenges involved in implementing an Islamic approach to wage determination, which has received limited attention in Islamic literature.

A new triage method, MBCE (Medical Bio Social Ethics), is presented with social justice, bio, and medical ethics for critical resource distribution during a pandemic. Ethical triage is a complex and challenging process that requires careful consideration of medical, social, cultural, and ethical factors to guide the decision-making process and ensure fair and transparent allocation of resources. When assigning priorities to patients, a clinician would evaluate each patient’s medical condition, age, comorbidities, and prognosis, as well as their cultural and social background and ethical factors.

A statistical analysis shows no interactions among the ethical triage factors. It implies the ethical components have no moderation effect; hence, each is independent. The result also points out that medical and bioethics may have an affinity for interactions. In such cases, there seem to be some ethical factors related to bio and medical ethics that are correlated. Therefore, the triage team should be careful in evaluating patient cases. The algorithm is explained with case histories of the selected patient. A group of triage nurses and general medical practitioners assists with the triage.

The MBCE triage algorithm aims to allocate scarce resources fairly and equitably. Another ethical principle in this triage algorithm is the principle of utility. In a pandemic, the principle of utility may require prioritizing patients with a higher likelihood of survival or requiring less medical care. The research presents a sensitivity analysis of a patient’s triage score to show the algorithm’s robustness. A weighted score of ethical factors combined with an assessment of triage factors combines multiple objectives to assign a fair triage score. These distinctive features of the algorithm are reasonably easy to implement and a new direction for the unbiased triage principle.

The idea is to make decisions about distributing and using scarce medical resources. Triage algorithms raise ethical issues, such as discrimination and justice, guiding medical ethics in treating patients with terminal diseases or comorbidity. One of the main ethical principles in triage algorithms is the principle of distributive justice.

This paper seeks to contribute to the debate on the usefulness of institutional theory to critical studies. It pursues this topic by exploring some of the possibilities for allocating local authority funds more fairly for poor residents. This paper aims to shed light on the institution of budgeting in a democratically elected local government under austerity.

This paper uses world culture theory, the study of the devolution of cultural authority to individuals and organisations through which they turn into agentic actors. Based on a field study of Newcastle City Council’s (NCC’s) budget-related practices, the paper uses the notion of actorhood to explore the use of fairness in austerity budgets.

This paper documents how new concerns with fairness gave rise to new local authority practices and gave NCC characteristics of actorhood. This paper also shows why it might make sense for a local authority that is managing austerity budget cuts and cutting back on services to make more detailed performance information public, rather than attempting to hide service deterioration, as some prior literature suggests. This paper delineates the limits to actorhood, in this study’s case, principally the inability to overcome structural constraints of legal state power.

The paper is suggestive of ways in which local government can fight inequality in opposition to central government austerity.

To the best of the authors’ knowledge, this is the first qualitative accounting study of actorhood. It coins the phrase fairness assemblage to denote a combination of various accounting technologies, organisational elements and local government practices.

Family governance is a topic of substantial practical relevance that merits much more attention in family business research (Gersick & Feliu, 2014; Suess, 2014). The purpose of this book chapter is to use the framework of a fair process to gain a better understanding of how family governance practices can help an entrepreneurial family firm flourish. Central to the analysis is the case of a 100-year-old entrepreneurial family firm that will serve as a best practice. Interviews with key members of the family and the business were held, and secondary data were gathered and analyzed. The chapter starts with a theoretical outline of the family as strategic resource and the family governance as a mechanism to manage this strategic resource. The principles of fair process are introduced as an underlying framework for the well-functioning of family governance practices. This is followed by the introduction of the case and the discussion of the key findings. This chapter ends with some concluding remarks.