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The purpose of this research is to advance the conceptual and practitioner understanding concerning the maximisation of Industry 4.0 technologies industries in an emerging economy. The study first examines the internal resources that companies possess to implement Industry 4.0 effectively and, second, identifies the critical gaps that necessitate external resources, both at the industry and government levels.

The study embraces qualitative and inductive approaches with semi-structured interviews conducted with 112 company leaders representing nine industries and operating in various cities/regions of Vietnam.

The data analysis helped unveil 16 critical dimensions. Notably, the organisation-developed competences dimension illuminates the understanding regarding firms’ available internal resources, while the financial management and technological leap ability dimensions help explain firms’ required resources. More broadly, the business community unity and business community learning dimensions ascertain the significance of industry-level support, while the technological sponsorship and legal framework guide dimensions underline government support.

First, the study unpacks various key aspects of their daily, mid- and long-term operations associated with their current internal resources, gaps identified and the support they require to progress within the Industry 4.0 environment. Second, the study proposes a framework that advances the extant conceptual understanding of operational, strategic, managerial and production aspects among firms operating in an emerging economy. Third, it focuses on companies operating in nine industries in an emerging economy. Fourth, the study contributes to addressing various extant research gaps.

A systematic investigation of postgraduate leadership programs for health and/or human services offered by Australian higher education institutions was undertaken.

Quantitative analysis identified the core characteristics of the programs. A thematic analysis of the course learning outcomes was conducted and six major themes of disciplinary leadership and management knowledge; research and analytical skills; professional practice; communication and collaboration; creativity and innovation; and system knowledge are shared in this study.

The authors conclude that Australian universities have taken an evidence-based approach to leadership education.

More work might need to be undertaken to ensure leadership theories are incorporated into learning outcomes.

This research aims to explore the factors influencing the adoption intention of eco-friendly smart home appliances among residents in densely populated urban areas of a developing country.

A quantitative research approach was employed to gather data from 348 respondents through purposive sampling. A comparative analysis strategy was then utilized to investigate the adoption of eco-friendly smart home appliances, combining both linear (PLS-SEM) and non-linear (fsQCA) approaches.

The results obtained from PLS-SEM highlight that performance expectancy, facilitating conditions, hedonic motivation, price value, and environmental knowledge significantly influence the adoption intention of eco-friendly smart home appliances. However, the findings suggest that effort expectancy, social influence, and habit are not significantly associated with customers' intention to adopt eco-friendly smart home appliances. On the other hand, the fsQCA results identified eight configurations of antecedents, offering valuable insights into interpreting the complex combined causal relationships among these factors that can generate (each combination) the adoption intention of eco-friendly smart home appliances among densely populated city dwellers.

This study offers crucial marketing insights for various stakeholders, including homeowners, technology developers and manufacturers, smart home service providers, real estate developers, and government entities. The findings provide guidance on how these stakeholders can effectively encourage customers to adopt eco-friendly smart home appliances, aligning with future environmental sustainability demands. The research implications underscore the significance of exploring the antecedents that influence customers' adoption intention of eco-friendly technologies, contributing to the attainment of future sustainability goals.

The environmental sustainability of smart homes, particularly in densely populated city settings in developing countries, has received limited attention in previous studies. Therefore, this study aims to address the pressing issue of global warming and make a meaningful contribution to future sustainability goals related to smart housing technologies. Therefore, this study employs a comprehensive approach, combining both PLS-SEM (linear) and fsQCA (non-linear) techniques to provide a more thorough examination of the factors influencing the adoption of environmentally sustainable smart home appliances.

Effective human resource management and organisational success depend heavily on measuring employee performance. This paper aims to investigate multiple factors that are crucial in assessing and measuring employee performance in Indian manufacturing sectors. Further prioritisation of the manufacturing industries based on their practices is conducted to measure employee performance.

The LOCOW approach has been used in this study to determine the relative weightage of the factors that assist in measuring employee performance, and the MARCOS method prioritises manufacturing industries.

Through weightage, criteria show that task performance is given the most weightage, followed by adaptability and contextual performance in the manufacturing sectors. The top three industries are oil and gas, steel and automobile.

This study gives manufacturing industries the tools they need to improve their HR practices, get better work from their employees and stay ahead of the competition in a constantly changing industry.

The current work examines the weightage among the factors that aid in assessing employee performance; further, the use of MARCOS technique prioritises the industries, which can be considered the original contribution.