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This study aims to explore the mediating role of self-efficacy and the relationship between job satisfaction and employee commitment.

The study is designed based on social cognitive theory. To collect the data, survey method is used in the present study. Questionnaires were distributed to the 75 randomly selected textile industry registered and located in Bengaluru city, India. Employees of 71 organizations participated in the survey. Out of 700 employees who received the email survey, 452 valid responses were considered for the data analysis. To examine the defined research hypothesis, a structural equation model is used.

The mediating analysis explored that the direct effect is 0.700, the indirect effect is 0.1730 and the total effect is 0.8731; it indicated that self-efficacy mediates the relationship between job satisfaction and employee commitment. Research also reveals that there is a positive relationship between self-efficacy, employee commitment and job satisfaction of employees working in the textile industry. The proposed measurement model statistics are as follows: CMIN = 2.322; df = 49; GFI = 0.958; AGFI = 0.934; NFI = 0.943; RFI = 0.923; IFI = 0.967; TLI = 0.955; CFI = 0.966. All these indices were nearer to unity.

The research findings provide insights to the management, practitioners and employers about the status of job satisfaction, self-efficacy and commitment of employees in textile organizations which will help make the strategies to increase the overall performance of the organization by enhancing the levels of job satisfaction, self-efficacy and commitment of textile industry employees.

To the best of the authors’ knowledge, this is the first study that tests the relationship among self-efficacy, job satisfaction and the mediating effect of self-efficacy of employees in Indian textile industries.

The aim of this study is to identify the association between leadership styles (LS) and employee commitment(EC) among employees working in the mechanical manufacturing small- and medium-sized enterprises (SMEs), mediated by job satisfaction.

The research is cross-sectional and the survey method was used, and Pearson correlation analyses, regression analysis and structural equation modelling (SEM) were used to examine the hypothesis. A sample of 911 responses was collected from 102 mechanical manufacturing SMEs in and around Bangalore, India.

EC depends on the age, the experience of employees, LS of the superior and job satisfaction of employees who are working in the mechanical manufacturing SMEs. The research found out that job satisfaction partially mediates the relationship between LS and EC.

The study is cross-sectional in nature; it measures and quantifies the different variables at a single point period; therefore, the research does not offer outcomes over a long period.

To enhance the commitment of employees working in the mechanical manufacturing SMEs, managers/superiors should make an effort to exhibit a holistic view of LS that enhances job satisfaction and improves the pleasant relationship in the work environment.

In the competitive business environment retaining skilled and talented employees is the major challenge for the organization. Many research studies explored that committed employees will retain in the organization for a long tenure. Thus, our study contributes to the body of the literature on predictors of EC. It is noted that the involvement of employees by the leaders during the decision-making process, creates an effective working ambience for the employees and establishes a pleasant relationship among employees. The leader will motivate the employees to work efficiently and effectively, in addition to that they motivate employees to continue working with the same organization. Hence there is a need for the mechanical manufacturing firms to design and implement strategies of motivating employees to remain in the organization. Our study was cross-sectional in nature; it measures and quantifies the different variables at a single point period; therefore, research does not offer outcomes over a long period. Hence a longitudinal study over some time gives more accurate outcomes, and it is more appropriate. This study focused on employees working in the mechanical manufacturing firms, in and around Bangalore, India; therefore, findings cannot be generalized to all employees of the mechanical manufacturing firms.

This research contributes to the existing literature by exploring further evidence and support for the relationship between LS and EC in mechanical manufacturing SMEs. And research also reveals that job satisfaction partially mediates the relationship between the LS and EC in mechanical manufacturing SMEs.

This paper aims to design, develop and validate an instrument to measure employer branding by considering existing employee perceptions.

In this systematic research, the predominant factors of employer branding are identified through Pareto analysis; using structured questionnaire information and data collected from 423 employees. The number of items and dimensions was reduced by conducting exploratory factor analysis (EFA) and validated extracted dimensions using confirmatory factor analysis (CFA) using statistical software (SPSS-21). The designed scale was verified by applying relevant statistical techniques, including a multicollinearity test, construct validity, content validity, divergent validity, convergent validity and reliability test. Structural equation modeling (SEM) was performed using AMOS, to explore the interrelationship between the dimensions of the scale.

Considering the perception of existing employees, seven factors along with 24 items scale were designed and developed to measure the employer branding. The identified seven factors are; career development opportunities; compensation and benefits; corporate social responsibility; training and development; work environment; organizational culture; and work-life balance. The proposed model explains a total variance of 70.35% and the model fit indices are within the acceptable range, validity and statistical reliability are established for seven dimensions of employer branding.

Employer branding is studied from existing employee perspective by collecting responses from the employees of the IT sector only.

This validated scale is valuable for practitioners and academicians. The proposed dimensions in the scale may help practitioners explore the impact on the outcomes of organizations such as employee commitment, employee retention, employee satisfaction and total productivity. This novel instrument helps to measure employees' perception of their employers. Further, the authors identify the gaps and accordingly plan strategies to attract and retain the talented workforce.

The authors believe that this novel measuring instrument is comprehensive and the first of its kind. Employer branding has been modeled using SEM analysis by considering the perceptions of the present employees.

This study aims to evaluate and compare the quality of work life (QWL) of nurses, in pre- and post-COVID-19 pandemic situations.

The study adopts a descriptive research design. Data were collected during the pre- and post-pandemic periods. The target sampling unit of the study comprises nurses working in Bangalore city, Karnataka, India. The minimum sample size was determined (Bartlett et al., 2001) as 385. The scale validation is carried out. The factors for the present study were explored using exploratory factor analysis and confirmed by confirmatory factor analysis. Model fitness (proposed measurement model) is ensured by using fit indices. The linear regression method was used to measure the level of QWL of nurses.

The present study noted that key factors that affects the QWL of nursing staff are work condition; work environment; work-life balance; compensation and reward; career development; job satisfaction and security; organization culture; relationship among co-workers and stress. Further, it is noticed that QWL of nurses pre-COVID-19 pandemic is 87.2%, while post-COVID-19 pandemic, it is 67%.

Present study can be extended to address the same research question by considering sampling unit such as therapist, technicians and sanitarians who have equally undergone tremendous pressure during pandemic.

The study outcome provides references for organizations engaged in health services to understand the extreme job conditions posed by pandemic. The constructive inspiration (physio-social and organizational support) reinforces the nurses to continue in their professions by decreasing negative impact.

The research paper extends the contributions of Hwang (2002), Nikeghbal et al. (2021), Howie–Esquivel et al. (2022) and Rania et al. (2023) and add to the existing body of the QWL literature. The outcome of the research records the prevailing conditions of pandemic and its effect on changes in work environment with specific reference to health-care sector.

The purpose of this study is to identify the level of quality of work life (QWL) of employees working in the Garment industries using a validated scale.

Survey methods were used for this study. A questionnaire was designed to collect the data and information, and it is validated through exploratory factor analysis, confirmatory factor analysis.

The majority of employees are not satisfied with the present status of QWL in garment units. Followings are the predominant components, which influence the QWL of employees compensation and rewards; job security; grievance handling; work environment; training and development; job nature; satisfaction in job; facilities and relation and cooperation.

The study was conducted in 133 garment industries where sample responses were obtained from 851 workers working in Indian Garment industries. In the competitive business environment, retaining a talented workforce is one of the big challenges to the organization. An unsatisfied employee is the first enemy of the organization, it is the prime task of the employers to keep the workforce at a satisfying level, otherwise, it will lead to employee turnover, performance and productivity. This paper helps to identify and quantify the components of the quality of work-life of employees if employers address these components job satisfaction level of employees will increase; therefore, our results will help the HR managers and policymakers to take appropriate decisions to enhance QWL.

The purpose of this study is to determine the enablers of the quality of work life (QWL) of employees working in the Garment industries.

The study was carried out in a fivefold step. In the first step, the enablers of QWL were identified through an exhaustive literature survey, in the second step identified vital few components through Pareto analysis. Then the third step was followed by exploratory factor analysis (EFA) to further, to identify the precise components and validate the same using confirmatory factor analysis in fourth step. The final step included interpretive structural modeling and Cross-Impact Matrix Multiplication Applied to Classification analysis to model the validated components and determine the interrelationships and linkages.

Predominant QWL enablers of employees working in the garment industries are training and development, satisfaction in job, compensation and rewards, relation and co-operation, grievance handling, work environment, job nature, job security and facilities.

In this study, the interpretive structural model is designed based on the opinion of the experts who are working in the garment industry considering the responses from employees in garment sectors. The framework can be extended further to the other sectors.

In future, the researchers in QWL may develop a model to quantify the level of employees’ QWL who are working in different sectors. Enablers of QWL are essential, and based on this further statistical analysis can be carried out. This study will provide limelight to the researchers in choosing the valid and reliable set of enablers for the empirical studies. Organizations can get benefit by implementing the outcome of this research for the enhancement of the QWL of employees.

The study was carried out in 133 garment industries where 851 workers constituted the final valid responses that were considered for analysis. The outcomes from the study help administrators, policy and decision-takers in taking decisions to enhance QWL.

The present study analyzes the research articles linking quality management practices (QMP) and quality of work life (QWL). The investigation leads toward the formulation of the hypothesis and developing a conceptual framework of QMP and QWL.

The study uses a systematic literature review to explore the relationship between QMP and QWL using the Scopus, Web of Science, PubMed, Eric, IEEE Xplore, ScienceDirect, Directory of Open Access Journals (DOAJ), and Google Scholar database and identifies critical factors of QMP and QWL using Pareto analysis. Further study proposes a conceptual framework of articles linking QMP and QWL.

A thorough review of the literature identifies three different categories of research articles: “factor identification” articles, “QMP implementation” articles, “scale development” articles, and “influence of QMP on various organizational and employees-related factors” articles. Many studies have attempted to study the relationship and influence of QMP on employee-related factors but not by considering them holistically, thus, underlining the significant gap in the QMP and HRM literature.

To review the literature on QMP and QWL, only a handful of databases were reviewed. Further, the proposed conceptual model is based on the QMP and QWL/HRM literature review, and it is not empirically validated. Further research can be considered to test and validate the proposed conceptual framework empirically.

This study highlights a gap in the existing research studies and an incomplete consideration of employees' aspects of QWL. Researchers and organizations are advised to adopt a broader view while assessing QMP implementation's influence on employees.

This study uses a systematic literature review and Pareto analysis to find the critical factors of QMP and QWL, thus providing a new research avenue for researchers, quality experts and human resource managers to consider all the aspects of employees, that is, QWL of employees, to understand the influence of QMP on employees to achieve firm success.

The purpose of this study was to validate the factors influencing perception of digital buyers (PDB), risk factors of digital buying (RFDB) and webrooming intention (WI) and also to examine the mediating role of WI between PDB and RFDB.

The antecedents of variables were validated using exploratory data analysis. The association between PDB and RFDB was established using structural equation modelling. Furthermore, the mediating role of WI is examined using the Sobel test.

The antecedents of PDB (digitization practice, credence preference, brand awareness and consciousness, product features, utilitarian behaviour, price and discount factors), RFDB (performance risk, socio-psychological risk, financial risk, aesthetic risk, time and return risk and perceived quality risk) and WI (perceived ease of online search, usefulness of online search, need for touch, socialization and webrooming attitude) were identified. PDB significantly and positively influences RFDB. There is a direct relationship between PDB and WI. WI and RFDB are positively correlated. WI partially mediates between PDB and RFDB.

The research outcome helps the multi-channel retailers to identify the digital platforms to find greater opportunity for customer engagement.

The study augments the body of literature on WI by exploring the interplay of PDB, RFDB and WI, which will help retail personnel to strategize operational practices.

This is a systematically conducted study to design, develop and validate a measuring instrument to assess the nurses quality of work life (QWL) and determine the vital components of nurses' QWL.

In this methodical study, vital dimensions of nurses QWL are identified using Pareto analysis; data and information were collected from 474 nurses through the structured questionnaire. By conducting exploratory factor analysis (EFA), the number of dimensions and items was reduced. Through the confirmatory factor analysis (CFA) using SPSS 21 software, nine predominant dimensions were confirmed, they are work environment, working condition, work–life balance, compensation, relationship and cooperation, stress at work, job satisfaction, career development and organization culture. Additional structural equation modeling (SEM) was done to determine the interrelationships between extracted nine components using AMOS. By performing different statistical tests like reliability test, content validity, construct validity, convergent, divergent validity and multicollinearity, the proposed nine-component nurses QWL instrument was validated.

The proposed measurement model explained 73.18% of total variance; reliability of the instrument Cronbach's alpha value is 0.902. Model fit indices like chi-square df (CMIN) = 685, df = 523, CMIN/DF = 1.310, goodness-of-fit index (GFI) = 0.965, adjusted goodness-of-fit index (AGFI) = 0.937, parsimony goodness-of-fit index (PGFI) = 0.918, incremental fir index (IFI) = 0.933, Tucker–Lewis index (TLI) = 0.921, comparative fit index (CFI) = 0.931 and root mean square error of approximation (RMSEA) = 0.036 fulfill the acceptable criteria. The nine factors nurses QWL measuring instrument is reliable and statistically valid.

Data were collected from 474 nurses, poor responses and time constraints.

Hospitals are trying to improve the quality of patient caring by enhancing the nurses' skill sets, knowledge and attitude to meet global challenges. In this unstable business environment, hospitals face challenges like the high attrition rate and skilled nurses shortage. In this scenario, this study provides a valid instrument to measure the QWL of nurses to know the status of QWL, which will help to build a strategic plan to improve retention rate and to attract the talented workforce to the hospitals.

As a result, the scale developed in this study contributes to the body of the literature on nurses QWL. It seems to be more advantageous for carrying out further research in this field.

To explore the relationship between employee commitment and transformational, transactional leadership styles.

The present research is based on multifactor leadership theory. Data are collected from the respondents using the survey method. Questionnaires were distributed to the 600 employees, out of which 427 valid responses were considered for analysis. The designed instrument is validated using EFA and CFA. The relationships were established through SEM (SPSS and AMOS), and results were validated using fit indexes.

There is a positive association between employee commitment and transformational, transactional leadership styles of the superiors.

The results emphasize the importance of transformational and transactional leadership styles, which help to nurture employee commitment. Managers should focus on inspiring employees, clarifying expectations and addressing performance issues promptly. Tailoring strategies to enhance affective, continuance and normative commitment dimensions can foster a positive work environment and strengthen employee dedication. Overall, these insights provide actionable guidance for managers to enhance leadership effectiveness, employee engagement and organizational performance.

The study’s originality lies in its thorough investigation of the relationship between leadership styles (transformational and transactional) and employee commitment across multiple dimensions. By employing advanced statistical techniques and rigorous measurement validation processes, the study provides valuable insights into how different leadership approaches impact employee commitment. This contributes significantly to the existing literature on organizational behaviour and leadership, offering practical implications for enhancing leadership effectiveness and employee engagement in the workplace.