Improving creativity among SME employees: exploring the role of organization-based self-esteem and psychological capital

Abstract

PurposeUnlike multinational companies, small and mid-size enterprises (SMEs) have budget constraints and, thereby, cannot invest heavily in improving the creativity of employees. They look for alternative budget-friendly ways to do the same. The authors of the current paper attempt to identify two psychological-based constructs which positively influence creativity among employees. Both these psychological constructs may be improved among the employees using suitable interventions from the human resource (HR) professionals and line managers working in the organization. This study is an attempt to test the influence of organization-based self-esteem (OBSE) and psychological capital (PC) (both malleable) on creative performance behaviour (CPB) among SME employees.Design/methodology/approachValidated instruments were used to collect data. Structural equation model (SEM) was used to evaluate the 377 responses collected from the employees working in three SME's in India. All three SMEs work in the area of innovative process design and require a high level of creativity among employees.FindingsPC fully mediates the relationship between OBSE and the CPBs of employees. Employees experiencing higher levels of OBSE will develop higher self-esteem, and these employees will exhibit more creative behaviours, increasing the likelihood of achieving creative results.Research limitations/implicationsThis study provides valuable inputs to the creativity literature as it describes the process of how self-esteem influences the creativity of an employee. HR professionals working in SMEs can work on enhancing the OBSE and PC (both malleable) of employees to improve creativity among employees.Originality/valueTo the best of the researcher's knowledge, this is the first attempt to identify frugal ways to improve creativity, especially in SMEs.

A Study on the Relationship between Domain Specific Self-Efficacy and Self-Regulation in e-Learning Contexts

“…This paper uses the statistical technique of multiple regression to examine the empirical relationships among the constructs. As multiple regression methodology allows for the conceptual model to have one dependent variable and many independent variables it is a robust technique for the presented conceptual model (Wolters & Benzon, 2013;Sujatha et al, 2023). The known values of the independent variables simultaneously help to predict the unknown values of dependent variables.…”