Voice in non-traditional employment relationships: a review and future research directions

Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector

Purpose: The aim of this research is to investigate the factors that facilitate the adoption of artificial intelligence (AI) in order to establish effective human resource management (HRM) practices within the Indian pharmaceutical sector. Design/methodology/approach: A model explaining the antecedents of AI adoption for building effective HRM practices in the Indian pharmaceutical sector is proposed in this study. The proposed model is based on task-technology fit theory. To test the model, a two-step procedure, known as partial least squares structural equational modeling (PLS-SEM), was used. To collect data, 160 HRM employees from pharmacy firms from pan India were approached. Only senior and specialized HRM positions were sought. Findings: An examination of the relevant literature reveals factors such as how prepared an organization is, how people perceive the benefits, and how technological readiness influences AI adoption. As a result, HR systems may become more efficient. The PLS-SEM data support all the mediation hypothesized by proving both full and partial mediation, demonstrating the accuracy of the proposed model. Originality: There has been little prior research on the topic; this study adds a great deal to our understanding of what motivates human resource departments to adopt AI in the pharmaceutical companies of India. Furthermore, AI-related recommendations are made available to HRM based on the results of a statistical analysis.

Are "outsiders" in? Exploring the impact of outsourced workers' perceived insider status and job value status on job performance

Introduction

Outsourcing, one of the nonstandard employment forms, has been increasingly popular with a wide variety of industries and employers. However, much less is known about its consequences at the employee level, especially relative to standard-employed colleagues. Drawing on social categorization theory and the human resource architecture model, the study was to investigate how outsourced (vs. standard) employment form impacts employees' perceived insider status and then job performance, as well as the moderating role of job value status.

Methods

To examine these effects, we collected two-wave and multi-source questionnaires from a sample of 147 outsourced employees, 279 standard employees, and their immediate supervisors. And interviews with 31 employees, their supervisors, and human resources personnel provided further support for our findings.

Results

The results showed that relative to standard employees, outsourced employees were lower in perceived insider status and indirectly worse in job performance. Furthermore, both the comparative effects were stronger among core-status than peripheral-status employees.

Discussion

Our study contributes to outsourcing and widely nonstandard employment literature, bringing the research focus from employers to outsourced employees' psychological and behavioral consequences. Also, we extended literature on the human resource architecture, through a deeper investigation on the issue of employment form-job value status (mis)matching as well as its impacts on employees.

Impact of Traditional Behavior of Customers, Employees, and Social Enterprises on the Fear of Change and Resistance to Innovation

Innovation adoption is the necessary element for the success of any organization around the globe, and this phenomenon needs a foremost solution. The current study examines this area and explores the impact of customers, employees, and social enterprises' traditional behavior on the resistance to innovation in social enterprises in China. The current article also investigates the mediating role of fear for change among customers, employees, and social enterprises' traditional behavior and resistance to innovation in social enterprises in China. This article has followed the primary data gathering methods and adopted the questionnaires for this purpose. The employees and customers of social enterprises are the respondents and ~11,000 population in the study. According to Krejcie & Morgan, the sample size criteria is around 370. Thus, the researchers' have forwarded around 615 surveys and received only 357 after a few weeks. The present research has also applied the SPSS-AMOS to analyze the association among variables and test the hypotheses. The results revealed that the traditional behavior of customers, employees, and social enterprises has a significant and positive linkage with resistance to innovation in social enterprises in China. The findings also exposed that the fear of change also significantly mediates among customers, employees, and social enterprises' traditional behavior and resistance to innovation in social enterprises in China. This study helps the regulators establish policies related to innovation adoption by changing traditional behavior to advance the behavior of customers, employees, and social enterprises.