PurposeThe purpose of this paper is to determine the role of service quality (SQ), trust and commitment to customer loyalty (CL) for telecom service users. Further, the moderating role of gender, marital status and connection type within the model was tested.Design/methodology/approachA measurement model was created based on valid 615 responses from Indian TSUs for SQ, trust, commitment and loyalty with the help of partial least squares structural equation modeling (PLS-SEM). Multi-group analysis (MGA) was conducted to understand the moderating effect of marital status, gender and connection type within the model.FindingsThe results suggest that, out of five dimensions of SQ, only responsiveness, assurance and empathy have a significant positive relationship with both commitment and trust. Tangibility has a significant positive relationship with trust only. Both commitment and trust have a significant impact on loyalty. It was noticed that both commitment and trust act as mediators between three SQ dimensions (assurance, empathy and responsiveness) and CL. MGA revealed that empathy and responsiveness positively induce trust in telecom users who are single. Whereas, assurance increases commitment toward telecom service providers in married users. Assurance and empathy significantly contribute toward commitment and trust, respectively, in male users as compared to females. Empathy was found important for postpaid users for trust-building, whereas trust was found to be more important for prepaid users to stay loyal to the service provider.Originality/valueThis article contributes toward understanding the role of SQ, trust and commitment to CL moderated by marital status, gender and connection type in an integrated model concerning telecom service.
The pandemic has affected almost 74 million people worldwide as of 17 December 2020. This is the first study that attempts to examine the nexus between the confirmed COVID-19 cases, deaths, meteorological factors, and the air pollutant namely PM2.5 in six South Asian countries, from 1 March 2020 to 30 June 2020, using the advanced econometric techniques that are robust to heterogeneity across nations. Our findings confirm (1) a strong cross-sectional dependence and significant correlation between COVID-19 cases, deaths, meteorological factors, and air pollutant; (2) long-term relationship between all the meteorological variables, air pollutant, and COVID-19 death cases; (3) temperature, air pressure, and humidity exhibit a significant impact on the COVID-19 confirmed cases, while COVID-19 confirmed cases and air pollutant PM2.5 have a statistically significant impact on the COVID-19 death cases. In this way, the conclusion that high temperature and high humidity increase the transmission of the COVID-19 infections can also be applied to the regions with greater transmission rates, where the minimum temperature is mostly over 21°C and humidity ranges around 80% for months. From the findings, it is evident that majority of the meteorological factors and air pollutant PM2.5 exhibit significant negative and positive effects on the number of COVID-19 confirmed cases and death cases in the six countries under study. Air pollutant PM 2.5 provides more particle surface for the virus to stick and get transported longer distances. Hence, higher particulate pollution levels in the air increase COVID-19 transmission in these six South Asian countries. This information is vital for the government and public health authorities in formulating relevant policies. The study contributes both practically and theoretically to the concerned field of pandemic management. Highlights• To examine the nexus among the COVID-19 confirmed cases, deaths, meteorological factors, and the air pollutant namely PM2.5 in six South Asian countries, from 1 March 2020 to 30 June 2020, employing advanced econometric techniques • Strong cross-sectional dependence and significant correlation among COVID-19 cases, deaths, meteorological factors, and the air pollutant • Temperature air pressure and humidity exhibit a significant impact on the COVID-19 confirmed cases in the six countries • COVID-19 confirmed cases and air pollutant PM2.5 have a statistically significant impact on the COVID-19 death cases • Results assist government and public health authorities in formulating the policies for containing, mitigating, and surveillance of COVID-19 in different countries
The significant role of human resources creates a necessity for organizations to formulate and develop the human resource management practices in the best interest of the employees. It is observed that human resource management practices pose significant impact on the job satisfaction and retention of talented employees in the industry. HRM practices proclaimed as a system that attracts, develops, motivates, and retains employees to ensure the effective implementation and the survival of the organization. The present paper is undertaken to study the perception of employees in the selected textile units of Punjab.The paper is an attempt to document the impact of different human resource management practices on the job satisfaction of employees in the textile industry and to find influential HRM practices as per the perception of the employees.It further examines the influence of human resource practices on the job satisfaction of employees. The results showed that Compensation and Promotion, Organizational Culture, Selection and Training, Performance Appraisal, Grievance redressal and Support and Development are the major HRM practices that leads to job satisfaction in textile industry.
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