The purpose of this study is to examine the experiences of project managers working in the distinct environment of clinical trial organizations as project management changes in dynamic labor markets. The literature emphasizes the changing skill set needed for project managers and stresses the value of cognitive flexibility, interpersonal skills, and lifelong learning. Nonetheless, there is still a great deal to learn about how these dynamics appear in the setting of clinical trial organizations. By investigating project managers’ perspectives and involvement in lifetime learning and skill development inside clinical trial organizations, this study seeks to close this gap. To elucidate the nuances of their professional experiences, 64 project managers were interviewed using a qualitative methodology. Key themes emerged from the thematic analysis, including the importance of interpersonal and personal qualities, the dynamic nature of abilities like creativity and critical thinking, and the strategic application of lifelong learning. The findings add new evidence to the body of knowledge by offering a sector-specific understanding of the lifelong learning needs and skill requirements for project managers in clinical trial organizations. The study emphasizes how crucial it is to continuously learn to improve healthcare outcomes and adjust to industry-specific problems. Contextual implications encompass perspectives for entities seeking to maximize training regimens and augment the flexibility of project management groups in clinical trial environments. This work advances theoretical ideas and practical concerns for lifelong learning and skill development in clinical trial organizations. It also adds subtle insights into a specialized domain to the discourse on project management.

This study evaluates the effectiveness of human resources (HR) practices on teaching and learning outcomes in primary education. The research was guided by four research questions and two research hypotheses. The study utilized a survey design via Google Forms for efficient data collection on human resources practices’ effectiveness in primary education. The questionnaire, validated by experts, garnered 60 responses within a month. Data analysis in Statistical Package for the Social Sciences (SPSS) included descriptive statistics and analysis of variance (ANOVA) techniques, adhering to ethical standards. The findings highlight the importance of HR practices that accommodate diversity, support inclusivity, and foster a sense of belonging for all students. Challenges in implementing inclusive HR practices are also identified, emphasizing the need for ongoing efforts to promote inclusivity and equity in primary education. The study concludes by advocating for the development and implementation of effective HR strategies to enhance teaching and learning outcomes in primary education.

Human resources (HR) analytics is garnering increasing interest each year and is set to play a pivotal role in the development of human resources. In the present era, numerous companies are harnessing the power of analytics to gain a competitive advantage by comprehending all the vital aspects of their workforce by enhancing employee retention through leveraging HR analytics to inform strategic HR choices. Many companies are now incorporating analytical tools into their HR function as a fact-based approach to develop relevant strategies and make informed decisions in managing their workforce more effectively. However, HR faces several challenges in implementing data analytics. Talent management commonly utilizes data analytics to enhance employee engagement, including retention rates, recruitment, job satisfaction, and happiness. This paper discusses the adoption of HR data analytics to enhance employee retention in the workplace. This study delves into the significance of HR data analytics in the realm of employee retention, aiming to assess the efficacy of data-driven decisions. A thorough examination of scholarly publications was undertaken, encompassing both indexed and non-indexed papers sourced from reputable electronic databases to gain insights into the present understanding of HR analytics and its influence on employee retention. The discussion uncovers that HR analytics has a noteworthy impact on improving employee retention in the workplace.

Within this broader analytical framework, this paper seeks to explore the apparent impact of digital transformation on employee relations within the context of listed companies. A theoretical model is proposed, positing digital transformation as the independent variable, employee relations as the dependent variable, and what might be characterized as cultural fit as a potential moderating variable. Based on an analysis of 482 ostensibly valid questionnaires collected from a sample of 500 A-share listed companies in China, what seems to emerge from these findings is that the mean score for the digital transformation scale was approximately 3.62, which tends to point toward a stage of local optimisation. The mean scores for the employee relations and corporate cultural fit scales were found to be 3.55 and 3.58, respectively. What the evidence appears to reveal is that digital transformation seems to be substantially positively correlated with employee relations (r ≈ 0.62, p < 0.01), and corporate cultural fit appears to share a similar positive correlation with both. What the analysis tends to support, furthermore, is that digital transformation appears to have a substantial positive impact on employee relations (β ≈ 0.58, p < 0.01). What seems especially noteworthy in this analytical context is that corporate culture fit seems to lend support to what may represent a positive moderating role (β ≈ 0.21, p < 0.05). In the high-fit group, the impact of digital transformation on employee relations appears to tend to suggest it is seemingly stronger (β ≈ 0.68, p < 0.01). What appears to emerge from this evidence, therefore, is the construction of a tentative model of this three-way relationship, ostensibly providing a basis for companies to balance technological innovation and humanistic care.

Keywords: Digital transformation; listed companies; employee relations; corporate culture compatibility; moderating effects

The aim of this paper is to consider the mental and physical wellbeing of employees through a lean-inspired People Value Stream lens. Poor well-being is a major cause of reduced productivity for organisations and a drain on healthcare services. We develop a conceptual approach as to how the interrelated spheres of mental and physical health might be dramatically improved through the lean, proactive intervention of employees. This requires the creation of a self-reliant wellness approach by focusing on an individual's meaning and goals and their consequent overall wellness and motivation. This involves assessing their mental and physical ‘flow’ during their career and how individuals can take control of their own wellbeing with the support of their team and wider organisation. Attention to this flow will help employees achieve what they want more quickly and effectively, with consequent benefits to their team and the organisation. We show how this can be achieved from a conceptual point of view and with a practical example. This is the first flow to be considered in detail within the People Value Stream approach. This provides a framework to completely rethink mental and physical wellbeing from the viewpoint of the individual rather than the organisation.

The study focuses on the employees’ behavioral intentions towards the usage of disruptive technology in the industry. The digital technology application in consumer, retail, and hospitality, education and training, financial services, the health sector, infrastructure, government, and airports. The study objectives were to explore the possible adoption of innovation and creativity changes and their acceptance by the employees in the organization. To identify the variables impacting behavioral intention and analyze how these variables relate to perceived usefulness, attitude, perceived ease of use, facilitating conditions, and technology optimism. A structured questionnaire was used to collect data from 335 respondents, who were selected based on their relevance to the study objectives. The questionnaires were distributed through the Google Forms application, and the data were collected and analyzed periodically. The findings of the study provide valuable insights into the behavioral intention towards disruptive technologies in Kuala Lumpur and Putrajaya locations in Malaysia and highlight the significance of factors such as perceived usefulness, attitude, perceived ease of use, facilitating conditions, and technology optimism. The research contributes to the existing body of knowledge on Industry 4.0 by providing empirical evidence and practical implications for organizations seeking to leverage disruptive technologies in their operations management.