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Amidst the turbulent tides of geopolitical uncertainty and pandemic-induced economic disruptions, the information technology industry grapples with alarming attrition and aggravating talent gaps, spurring a surge in demand for specialized digital proficiencies. Leveraging this imperative, firms seek to attract and retain top-tier talent through generous compensation packages. This study introduces a holistic, integrated theoretical framework integrating machine learning models to develop a compensation model, interrogating the multifaceted factors that shape pay determination.

Drawing upon a stratified sample of 2488 observations, this study determines whether compensation can be accurately predicted via constructs derived from the integrated theoretical framework, employing various cutting-edge machine learning models. This study culminates in discovering a random forest model, exhibiting 99.6% accuracy and 0.08° mean absolute error, following a series of comprehensive robustness checks.

The empirical findings of this study have revealed critical determinants of compensation, including but not limited to experience level, educational background, and specialized skill-set. The research also elucidates that gender does not play a role in pay disparity, while company size and type hold no consequential sway over individual compensation determination.

The research underscores the importance of equitable compensation to foster technological innovation and encourage the retention of top talent, emphasizing the significance of human capital. Furthermore, the model presented in this study empowers individuals to negotiate their compensation more effectively and supports enterprises in crafting targeted compensation strategies, thereby facilitating sustainable economic growth and helping to attain various Sustainable Development Goals.

The cardinal contribution of this research lies in the inception of an inclusive theoretical framework that persuasively explicates the intricacies of a machine learning-driven remuneration model, ennobled by the synthesis of diverse management theories to capture the complexity of compensation determination. However, the generalizability of the findings to other sectors is constrained as this study is exclusively limited to the IT sector.

After 15 years of research, this paper aims to present a review of the academic literature on the ISO/IEC 27001, the most renowned standard for information security and the third most widespread ISO certification. Emerging issues are reframed through the lenses of social systems thinking, deriving a theory-based research agenda to inspire interdisciplinary studies in the field.

The study is structured as a systematic literature review.

Research themes and sub-themes are identified on five broad research foci: relation with other standards, motivations, issues in the implementation, possible outcomes and contextual factors.

The study presents a structured overview of the academic body of knowledge on ISO/IEC 27001, providing solid foundations for future research on the topic. A set of research opportunities is outlined, with the aim to inspire future interdisciplinary studies at the crossroad between information security and quality management. Managers interested in the implementation of the standard and policymakers can find an overview of academic knowledge useful to inform their decisions related to implementation and regulatory activities.

Presents over sixty abstracts summarising the 1999 Employment Research Unit annual conference held at the University of Cardiff. Explores the multiple impacts of globalization on work and employment in contemporary organizations. Covers the human resource management implications of organizational responses to globalization. Examines the theoretical, methodological, empirical and comparative issues pertaining to competitiveness and the management of human resources, the impact of organisational strategies and international production on the workplace, the organization of labour markets, human resource development, cultural change in organisations, trade union responses, and trans‐national corporations. Cites many case studies showing how globalization has brought a lot of opportunities together with much change both to the employee and the employer. Considers the threats to existing cultures, structures and systems.

THINGS have travelled full circle. There was a time when the Swedes were busy learning from our enterprise and experiences, especially in the fields of industry and commerce; now the position is somewhat reversed and we are eager to profit from them in such diverse fields as social welfare, labour relations, modern design generally, and what is more relevant here, librarianship. Sweden has also much to offer from its cultural life through its novelists, poets, artists and musicians, many of whom deserve wider audiences both here and in other countries.

The frequent and increasingly potent cyber-attacks because of lack of an optimal mix of technical as well as non-technical IT controls has led to increased adoption of security governance controls by organizations. The purpose of this paper, thus, is to construct and empirically validate an information security governance (ISG) process model through the plan–do–check–act (PDCA) cycle model of Deming.

This descriptive research using an interpretive paradigm follows a qualitative methodology using expert interviews of five respondents working in the ISG domain in United Arab Emirates (UAE) to validate the theoretical model.

The findings of this paper suggest the primacy of the PDCA Deming cycle for initiating ISG through a risk-based approach assisted by industry-wide best practices in ISG. Regarding selection of ISG frameworks, respondents preferred to have ISO 27K supported by NIST as the core framework with other relevant ISG frameworks/standards forming the peripheral layer. The implementation focus of the ISG model is on mapping ISO 27K/NIST IT controls relevant IT controls selected from ISG frameworks from a horizontal and vertical perspective. Respondents asserted the automation of measurement and control mechanism through automation to assist in the feedback loop of the PDCA cycle.

The validated model helps academics and practitioners gain insight into the methodology of the phased implementation of an information systems governance process through the PDCA model, as well as the positioning of ITG and ITG frameworks in ISG. Practitioners can glean valuable insights from the empirical section of the research where experts detail the success factors, the sequential steps and justification of these factors in the ISG implementation process.

Recently, blockchain technology (BT) has resolved healthcare data management challenges. It helps healthcare providers automate medical records and mining to aid in data sharing and making more accurate diagnoses. This paper attempts to identify the critical success factors (CSFs) for successfully implementing BT in healthcare.

The paper is methodologically structured in four phases. The first phase leads to identifying success factors by reviewing the extant literature. In the second phase, expert opinions were solicited to authenticate the critical success factors required to implement BT in the healthcare sector. Decision Making Trial and Evaluation Laboratory (DEMATEL) method was employed to find the cause-and-effect relationship among the third phase’s critical success factors. In phase 4, the authors resort to validating the final results and findings.

Based on the analysis, 21 CSFs were identified and grouped under six dimensions. After applying the DEMATEL technique, nine factors belong to the causal group, and the remaining 12 factors fall under the effect group. The top three influencing factors of blockchain technology implementation in the healthcare ecosystem are data transparency, track and traceability and government support, whereas; implementation cost was the least influential.

This study provides a roadmap and may facilitate healthcare professionals to overcome contemporary challenges with the help of BT.

The value which can be placed upon the rights of property in a name of a commodity, a food or drink, perhaps famous all over the world, which has come down to us through the centuries, is incalculable. Most of such foods and drinks have a regional association, and are prepared according to methods, often secret, handed down from one generation to another and from locally grown and produced materials. Nowhere are such traditions so well established as in cheese‐making and the wine industry. The names do not signify merely a method of manufacture, since this can be simulated almost anywhere, nor even the raw materials, but differences in climate, the soil and its treatment, its produce, harvesting, even in the contaminants of environment. Rochfort cheese, for example, is made from ewe's milk, but most important, with mould growths found only in the caves of that part of France where it is stored.

Interaction content is created during online learning interaction for the exchanged information to convey experience and share knowledge. Prior studies have mainly focused on the quantity of online learning interaction content (OLIC) from the perspective of types or frequency, resulting in a limited analysis of the quality of OLIC. Domain concepts as the highest form of interaction are shown as entities or things that are particularly relevant to the educational domain of an online course. The purpose of this paper is to explore a new method to evaluate the quality of OLIC using domain concepts.

This paper proposes a novel approach to automatically evaluate the quality of OLIC regarding relevance, completeness and usefulness. A sample of OLIC corpus is classified and evaluated based on domain concepts and textual features.

Experimental results show that random forest classifiers not only outperform logistic regression and support vector machines but also their performance is improved by considering the quality dimensions of relevance and completeness. In addition, domain concepts contribute to improving the performance of evaluating OLIC.

This paper adopts a limited sample to train the classification models. It has great benefits in monitoring students’ knowledge performance, supporting teachers’ decision-making and even enhancing the efficiency of school management.

This study extends the research of domain concepts in quality evaluation, especially in the online learning domain. It also has great potential for other domains.

Research on the intersection of start-ups and digital transformation is still in its infancy, but it is gathering speed and has entered a period of ferment that may lead to discoveries and deeper understandings. From a purely descriptive standpoint, the topic has only recently entered an exponential development phase. This study aims to provide an overview of the digital transformation in start-ups.

The research only looked into account papers that mentioned the ((“Digital transformation”) AND (“Startups”) OR (“Entrepreneurship”) OR (“Entrepreneur”)) for the title, abstract and keywords. The R programming language's Biblioshiny package was considered for thoroughly examining the papers.

This study evaluated the overview of digital transformation in start-ups between 2016−2022 using the articles from the Dimension database. The study of digital transformation is increasingly popular, but there needs to be more research focused specifically on the digital transformation of start-up companies. While the overall trend shows a rise in the interest and investigation of digital transformation, the number of studies explicitly addressing start-up digital transformation still needs to be higher. The highest publication and citation related to digital transformation is of Andreja Pucihar. The findings also show that the Sustainability journal has the highest network with other citations. Also, it has been found that the focus on digital transformation addresses the need for more research based on various theoretical perspectives. Based on the prominence percentile, the top three future research topics that can be explored are Product Innovation; Sustainability; Frugality, Digital Transformation; Strategic Alignment, and Cybersecurity; Strategies; Digital Transformation.

The current study may serve as a general guideline for future investigation into this topic.

Regarding the practical ramifications, this study’s findings can help entrepreneurs prepare to launch a business or are already doing so. This study’s results provide a comprehensive framework of success variables that must be considered to improve the venture's performance.

This study’s originality is from presenting a structured and in-depth literature review that describes the current state of the art for digital transformation in start-ups. A complete analysis of the data gathered on its digital transformation in start-ups is offered to establish that it is sustainable.

Data from sophisticated portable heart‐rate monitors and “work diaries” were used to relate in Mintzberg's “nature of managerial work” to physiological stress in a small sample of working principals. Subjects were categorised by years of experience, Type A and Type B personality, and were “shadowed” for three complete work days in their schools doing regular activities to learn what management functions were stressful. Principals were found to be working under extreme stress (a few at catastrophically high levels), for long hours, and that certain managerial activities were more physiologically stressful than others. Implications for training, deployment and the use of bio‐feedback techniques are discussed.