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This paper aims to describe the design and evaluation of a pilot leadership development programme for infection prevention and control (IPAC) professionals during the COVID-19 pandemic. The programme’s aim was to improve IPAC knowledge and capacity in the health-care system by developing the leadership skills and capacities of novice and advanced Infection Control Professionals (ICPs), to respond flexibly, and competently, in their expanding and ever-changing roles.

The leadership programme was piloted with seven nurses, who were part of a clinical nursing team in New South Wales, Australia, over a 12-month period between 2021 and 2022. The programme was designed using a leadership development framework underpinned by transformational leadership theory, practice development approaches and collaborative and experiential learning. These principles were applied during programme design, with components adapted to learners’ interests and regular opportunities provided for collaboration in active learning and critical reflection on workplace experiences.

The authors’ evaluation suggests that the programme was feasible, acceptable and considered to be effective by this cohort. Moreover, participants valued the opportunities to engage in active and experience-based learning with peers, and with the support of senior and experienced ICPs. The action learning sets were well-received and allowed participants to critically reflect on and learn from one another’s experiences. The mentoring programme allowed them to apply their developing leadership skills to real workplace challenges that they face.

Despite a small sample size, the authors’ results provide empirical evidence about the effectiveness of using a practice development approach for strengthening ICP leadership capacity. The success of this pilot study has paved the way for a bigger second cohort of participants in the programme, for which further evaluation will be conducted.

The success of this leadership programme reflects both the need for leadership development in the IPAC professions and the applicability of this approach, with appropriate facilitation, for other professions and organizations.

ICP leadership programmes have not been previously reported in the literature. This pilot study builds on the growing interest in IPAC leadership to foster health system responsiveness and change.

Talent management research today is increasing as organizational requirements attempt to meet the challenges of effectively managing talent to achieve organizations’ strategic agendas. However, in learning organizations specifically, investigations of talent management practices are limited, with this study exploring the role of talent management practices in employee satisfaction and organizational performance in Pakistan.

The study was conducted in various universities (public and private) in Pakistan using a quantitative approach. Cross-sectional data are collected through a questionnaire, with analysis and conclusions based on completed questionnaires from 403 respondents.

The study’s findings from the analysis by structural equation modeling (SEM) emphasize the positive and significant effects of most talent management practices (i.e. talent identification, talent development, talent culture and talent retention) on employee satisfaction and organizational performance (talent attraction is the exception). Employee satisfaction positively and significantly affects organizational performance and is found to have a mediating effect, bridging the relationships of most talent management practices (talent identification, talent development, talent culture and talent retention) with organizational performance.

The study’s findings support human resource professionals, academics and policymakers in managing talent practices to enhance organizational performance. The findings assist in developing core skills and talent-related competencies to achieve organizational goals and success.

The study fills the research gaps by developing a framework of talent management practices for employee satisfaction and organizational performance in learning organizations, which warrants further consideration.

Skilled workers are crucial for an organization’s success, and managing, retaining and attracting them is vital in long-term. This study aims to explore talent management practices in the Finnish restaurant industry and to align workers' expectations with the real-world experiences of their work to reduce turnover and enhance job satisfaction.

The study adopts a mixed methods approach, including a survey and interviews with workers and managers to gain insights into their expectations and experiences of work. The study considers themes for designing and implementing effective talent management procedures.

This study highlights the importance of employees' experiences of their work conditions, leveraging positive emotions and fair utilization of temporary agency work (TAW). Understanding the different work preferences of generational cohorts and addressing the challenges associated with owner disengagement and TAW can also contribute to attracting and retaining talent in the restaurant industry.

Skilled workers have often been portrayed as targets that need to be managed, with insufficient consideration given to their preferences, needs and expectations. With the findings of this study, companies can establish mutual understanding with their employees and attract diverse talent.

This paper aims to investigate the relationship between employer branding (EB) and talent retention. The paper also analyses the mediating role of employee engagement in the association between EB and talent retention.

Partial least square structural equation modelling has been applied to carry out the analysis. The findings are based on the perceptions of IT professionals (n = 397) to assess the interrelationship between EB, employee engagement and talent retention.

The paper gives empirical insights on how employee engagement helps promote employer value offerings to the employee, which helps in the successful retention of employees. The results indicate that employee engagement partially mediates the association between EB and talent retention.

This study provides a clear direction to a diversity of practitioners working in IT firms. Building and maintaining sympathetic and emotional connections with co-workers, team leaders and higher managerial employees can help increase employee engagement. The findings can help business planners and managers focus their efforts on employer brand elements for successfully involving their workforce.

Authors believe this study is one of its kind to test the association between EB and talent retention mediated by the engagement level of employees. The present research study will help future academia delve into how EB can significantly impact the engagement and retention of existing employees.

Digitalisation, which involves the use of digital technologies in transforming an organisation’s activities, transcends just the acquiring of emerging digital tools. Having the right people to drive the implementation of these technologies and attaining strategic organisational goals is essential. While most studies have focused on the use of emerging technologies in the construction industry, less attention has been given to the ‘people’ dimension. Therefore, this study aims to assess the people-related features needed for construction digitalisation.

The study adopted pragmatic thinking using a mixed-method approach. A Delphi was used to achieve the qualitative aspect of the research, while a questionnaire survey conducted among 222 construction professionals was used to achieve the quantitative aspect. The data gathered were analysed using frequency, percentage, mean item score, Kruskal–Wallis H test, exploratory factor analysis and confirmatory factor analysis.

Based on acceptable reliability, validity and model fit indices, the study found that the people-related factors needed for construction digitalisation can be grouped into technical capability of personnel, attracting and retaining digital talent and organisation’s digital culture.

The findings offer valuable benefits to construction organisations as understanding these identified people features can help lead to better deployment of digital tools and the attainment of the digital transformation.

This study attempts to fill the gap in the shortage of literature exploring the people dimension of construction digitalisation. The study offers an excellent theoretical backdrop for future works on digital talent for construction digitalisation, which has gained less attention in the current construction digitalisation discourse.

The purpose of this paper is to understand how those involved in executive pay determination in large publicly quoted UK businesses see the role of diversity within remuneration committees (Remcos) as enabling the input of different perspectives, which can enhance their decision-making and potentially improve pay outcomes.

Qualitative, semi-structured interviews were undertaken with 18 high-profile major-enterprise decision-makers and their advisers, i.e. non-executive directors (NEDs) serving Remcos, institutional investors, executive pay consultants and internal human resources (HR) reward specialists, together with data from three focus groups with 10 further reward management practitioners.

Remco members recognise the benefits of social category/demographic diversity but say the likelihood of increasing this is low, given talent pipeline issues. The widening of value diversity is considered problematic for Remcos’ functioning. Informational diversity is used as a proxy for social category/demographic diversity to improve Remcos’ decision-making on executive pay. While the inclusion of members from wider social networks is recognised as potentially bringing a different informational perspective, the social character of Remcos, reflecting their elite nature and experience of wealth, appears ingrained.

Our original contribution is to extend the application of upper echelons theory in the context of Remco decision-making to explain why members do not welcome widening informational diversity by appointing people from different social networks who lack value similarity. Instead, by drawing views from employees, HR acts as a proxy for social network informational diversity. The elite, upper-echelons nature of Remco appointments remains unchanged and team functioning is not disrupted.

Introduction: Skill development is crucial in developing economies by enhancing productivity and creating employment opportunities. At the macro level, it also leads to industrial development and economic growth.

Purpose: The research is to identify the types of skills required for increasing the probability of employability of labour. It also aims to define the challenges and opportunities in skill development to drive change.

Need of the Study: Studying opportunities and challenges for skill development in developing economies is essential for achieving sustainable economic growth, reducing poverty, increasing employment opportunities, and promoting global competitiveness.

Research Methodology: Some skills are recognised through research that has been published to determine the skill set needed to increase labour productivity. To draw lessons, some skill development initiatives by various companies are also identified and presented in case studies. Additionally, several government programs are available to assess the possibilities and prospects for skill development in the Indian market.

Practical Implications: The research will be valuable in micro and macro decision making. At the micro level, research is advantageous for a business person to initiate the skill development of its employees by using government schemes. Nations other than India can understand the policy framework for skill development.

Findings: The term ‘skilling’ has become fashionable. Due to the need for skill-based earnings data, only some studies examine the return on skill (ROS) of the labour market. Skill development plays a significant role in bringing change at the micro and macro levels. Hence it is necessary to exploit all opportunities for skill development.

This paper aims to determine the demand category and level of government and investors in public–private partnership (PPP) projects. It emphasizes the importance of meeting the demands of stakeholders and controlling the unreasonable demands. This study aims to improve the demand management of stakeholders in the PPP project and lay a foundation for the research on behavior based on the motivation theory.

This paper opted for a questionnaire survey to collect data based on indicators identified through literature. The participants come from the government and private sector (investors, contractors, operators, etc.) in China PPP Lecture Hall. The reliability, validity and variance analyses are used to test the reliability of data. Factor analysis and entropy method are used to determine demand categories and weights.

The government’s 14 demands are divided into four groups: satisfy public activities, self-interest, responsibility and relief financial pressure; 6 investor's demands are divided into development ability and satisfy social activities. The self-interest of government is higher than that of the publicity in PPP projects; investor's social reputation is most important, it is a foundation for obtaining external resources and achieving enterprise development.

Because of the chosen research approach, the demand indexes cannot be exhausted. Therefore, researchers are encouraged to enrich relevant contents further.

This paper includes implications for a targeted demand control mechanism and for managing the unreasonable demand.

This paper comprehensively identifies the demand hierarchy of the government and investors, and provides the theoretical basis for the target management of stakeholders.

This study examines the mediating roles of the three dimensions of business intelligence (sensing capability, transforming capability and driving capability) in the relationship between the three dimensions of big data analytics capability (big data analytics management, technology and talent capabilities), and radical innovation among Chinese manufacturing enterprises.

A theoretical framework was developed using the resource-based view. The hypothesis was tested using empirical survey data from 326 Chinese manufacturing enterprises.

Empirical results show that, in the Chinese manufacturing context, business intelligence sensing capability, business intelligence transforming capability and business intelligence driving capability positively mediate the impact of big data analytics capability on radical innovation.

The results offer managerial guidance for leaders to properly use big data analytics capability, business intelligence and radical innovation as well as offering theoretical insight for future research in the manufacturing industry’s radical innovation.

This is among the first studies to examine three dimensions of big data analytics capability on the manufacturing industry’s radical innovation by considering the mediating role of three dimensions of business intelligence.

Industry 4.0 defines the application of digital technologies on business infrastructure and processes. With the increasing need to take into account the social and environmental impact of technologies, the concept of Society 5.0 has been proposed to restore the centrality of humans in the proper utilization of technology for the exploitation of innovation opportunities. Despite the identification of humans, resilience and sustainability as the key dimensions of Society 5.0, the definition of the key factors that can enable Innovation in the light of 5.0 principles has not been yet assessed.

An SLR, followed by a content analysis of results and a clustering of the main topics, is performed to (1) identify the key domains and dimensions of the Industry 5.0 paradigm; (2) understand their impact on Innovation 5.0; (3) discuss and reflect on the resulting implications for research, managerial practices and the policy-making process.

The findings allow the elaboration of a multileveled framework to redefine Innovation through the 5.0 paradigm by advancing the need to integrate ICT and technology (Industry 5.0) with the human-centric, social and knowledge-based dimensions (Society 5.0).

The study detects guidelines for managers, entrepreneurs and policy-makers in the adoption of effective strategies to promote human resources and knowledge management for the attainment of multiple innovation outcomes (from technological to data-driven and societal innovation).