High-performance work practices lecturers’ performance connection: Does working condition matter?

Poor performance of lecturers in Nigerian Polytechnics warrants independent research on lecturers’ job performance, given that the poor performance has seriously affected educational development in the country. Substantial evidence from the extant literature has highlighted that high-performance work practices are significant predictors and drivers of enhanced performance. Also, the functionality of high-performance work practices is context-dependent. Therefore, the current study investigates the effect of high-performance work practices (recruitment and selection, training and development, and employee involvement) on lecturers’ performance in the context of Nigerian polytechnics. It also examines the moderating role of working conditions in the high-performance work practices’ relationship with lecturers’ performance. Data were obtained from 539 academics in the North-west Nigerian polytechnics. The overall findings indicate that training and development and employee involvement are significant predictors of enhanced lecturers’ performance, and working condition strengthens the recruitment and selection–performance connection and employee involvement–performance relationship. This implies that the link between HR practices and enhanced performance could be affected by the environment within which organizations operate. The present study focused mainly on teaching staff from the polytechnics located in the north-central geopolitical zone of Nigeria. Thus, other geopolitical zones and non-teaching staff from various polytechnics could be studied further by future studies.

Impact of Training & Development and Career Planning on Employee Involvement

The purpose of this research is to investigate the impact of training and development as well as career planning in Nepalese service sector organizations. Data for this study were gathered from service organizations such as banks, insurance companies, telecommunications companies, hospitals, and colleges. In total, 502 questionnaires were distributed, and 82.97 percent of the copies that were filled out and returned were used in the study. Descriptive statistics, correlation, and multiple regression were used to analyze the data. Organizational training and development and career planning, according to the study's findings, have a significant impact on employee involvement in their jobs and performance. As a result, Nepalese service sector organizations must make provisions of the budget for additional employee training and development programs. Similarly, it is necessary to provide employees with career development opportunities so that they can stay with the company for an extended period.

How Organizations Can Use High Performance Work Practices To Augment Employees’ Performance Oriented Behaviors?

We examine the relationship between high performance work practices and employee performance mediated by employee involvement, motivation, and satisfaction. We collected data on adapted scales from 292 heads of departments of various public and private sector institutions from Pakistan. The results indicated a positive and significant impact of high performance work practices on employee involvement, motivation, satisfaction, and performance. Besides, results also supported the mediation of employee involvement and motivation. However, the relationship between employee satisfaction and performance was not found significant and similarly, its mediation was also not established as we expected. The study is first of its kind, where a composite model of high performance work practices was tested for its employee-related outcomes. Moreover, the mediation of employee involvement and employee motivation in the relationship between high performance work practices and employee performance is also a noteworthy contribution of the current research in the Pakistani context. The results are generalizable to public and private sector higher education institutions of Pakistan but can also be used in other organizations with caution.

STRUCTURAL EQUATION MODELING OF SUPPLY CHAIN MANAGEMENT, EMPLOYEE INVOLVEMENT, AND EMPLOYEE WORK PERFORMANCE IN THAILAND'S AUTO PARTS INDUSTRY

The objective of this research was to analyse the structural equation modelling (SEM) of supply chain management, employee involvement, and employee work performance in Thailand's auto parts industry. The sample group included 383 employees operating in the aforementioned industry using SEM processing by the AMOS program as the tool. From the research, the latent variable of supply chain management had a direct positive influence on the latency of employee involvement and employee work performance with statistical significance. Simultaneously, the latency of employee involvement had no direct positive influence on the latency of employee work performance. Therefore, the latency of supply chain management did not indirectly influence the latency of employee work performance through the latency of employee involvement.

INVOLVEMENT OF EMPLOYEES IN OPERATIONAL PLANNING OF MANUFACTURING ENTERPRISES: LATVIA EXPERIENCE

The main feature of teamwork is a common goal, and the involvement of employees is essential to its achievement. In a wider scope, it is understood not only by the involvement of employees in decision-making but also as the involvement of employees in operational planning and strategic issues. Research aim is to find out whether the involvement of employees in decision-making, goal setting and planning is inherent in manufacturing enterprises. According to a survey of 268 different level employees of 25 manufacturing enterprises in Latvia, it was found out that involvement of all employees in the decision-making process is not perceived by the enterprises` performance and strategic planning, and the involvement of employees in decision-making and goal setting can only be seen within the department. Keywords: decision-making, employee involvement, goal setting, operational planning, manufacturing enterprise, teamwork

The Study on Human Resource Practices and AMO Model and Its Impact on Employee Commitment among Gen Y SMEs Employees in Selangor, Malaysia

Researchers and practitioners have been very enthusiastic and spend the most determinations to study all possible means in order to grab the most advantage from their human resources (HR) especially the Gen Y employees. These employees are pertinent to the part of organisation’s strategic business plan and contribute to the organisation’s performance as well as sustainable competitive advantage. Hence, employee commitment remains a key challenge especially in small and medium enterprises (SMEs) in Malaysia. The purpose of this paper is to investigate the relationship of compensation, training, employee involvement as well as the ability, motivation and opportunity (AMO) model towards employee commitment. The study also seeks to provide the theory-based empirical evidence that the role of AMO model as a mediator in achieving the commitment of employees and used Social Exchange Theory (SET) in order to explain the theoretical rationale of the study model. A total of 168 Gen Y employees representing SMEs service sectors in Selangor, Malaysia participated in this study. Partial Least Square-Structural Equation Modelling (PLS-SEM) was utilised in order to explain the relationship among HR practices towards employee commitment as well as AMO model as a mediator. A key finding that emerged from the analysis showed that only training has direct relationship toward the employee commitment and AMO model plays an important role in gaining employee commitment as it mediates the relationship of employee involvement. However, compensation has no effect in any relationship. Particularly, this study has helped to place the human resource practices, AMO model and employee commitment in the SET by giving a new perspective theoretically that the correct approach of gaining commitment of employees by providing the appropriate practices that employee will reciprocate in return. Also, it showed that Gen Y employees are seeking more involvement than compensation in order to commit themselves. SMEs should involve employees in their daily activities or any decision-making and offers other recognition programs, as money and remuneration are no longer a motivational urge for employees to become committed. Moreover, the findings could therefore serve as a turning point for SMEs to start concentrating and provide more job-related training so that employees can upgrade their skills particularly in this Industrial 4.0 era, where everything changes greatly in the way they deal with others.

Conceptual Framework—Artificial Intelligence and Better Entrepreneurial Decision-Making: The Influence of Customer Preference, Industry Benchmark, and Employee Involvement in an Emerging Market

Purpose: Technology initiatives are now incorporated into a wide range of business domains. The objective of this paper is to explore the possible effects that Artificial intelligence systems have on entrepreneurs’ decision-making, through the mediation of customer preference and industry benchmark. Design/methodology/approach: This is a non-empirical review of the literature and the development of a conceptual model. Searches were conducted in key academic databases, such as Emerald Online Journals, Taylor and Francis Online Journals, JSTOR Online Journals, Elsevier Online Journals, IEEE Xplore, and Directory of Open Access Journals (DOAJ) for papers which focused on Artificial intelligence (AI), Entrepreneurial decision-making, Customer preference, Industry benchmarks, and Employee involvement. In total, 25 articles met the predefined criteria and were used. Findings: The study proposes that Artificial intelligence systems can facilitate better decision-making from the entrepreneurial perspective. In addition, the study demonstrates that employees, as stakeholders, can moderate the relationship between Artificial intelligence systems and better decision-making for entrepreneurs with their involvement. Moreover, the study demonstrates that customer preference and industry benchmark can mediate the relationship between Artificial intelligence systems and better entrepreneur decision-making. Research limitations/implications: The study assumes a perfect ICT environment for the smooth operation of Artificial intelligence systems. However, this might not always be the case. The study does not consider the personal disposition of entrepreneurs in terms of ICT usage and adoption. Practical implications: This study proposes that entrepreneurial decision-making is enriched in an environment of Artificial intelligence systems, which is complemented by customer preference, industry benchmark, and employee involvement. This finding provides entrepreneurs with a possible technological tool for better decision-making, highlighting the endless options offered by Artificial intelligence systems. Social Implications: The introduction of AI in the business decision-making process comes with many social issues in relation to the impact machines have on humans and society. This paper suggests how this new technology should be used without destroying society. Originality/value: This conceptual framework serves as a valuable organizational spectrum for entrepreneurial development. In addition, this study makes a valuable contribution to entrepreneurial development through Artificial intelligence systems.