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The aim of this research is to examine the effect of the customer loyalty program on customer satisfaction and its impact on customer loyalty. This program is developed by the company in order to increase customer satisfaction. Optimal customer satisfaction will be able to create customer loyalty. For a company, customer loyalty will guarantee the company’s income to be constantly optimal. The research is conducted using the survey method involving 110 customers and 100 feasible data used. The sampling technique used is judgment sampling and data collected through the questionnaire. It uses SEM in examining hypotheses assisted by software AMOS version 20.0. Member card significantly affects customer satisfaction, while discount promo has no significant effect on customer satisfaction and it also doesn’t affect customer loyalty. Member cards and discount promo have a direct effect on customer loyalty. In general, it can be understood that the customer loyalty program applied by Alfamart either member card or discount promo affects customer satisfaction and has an impact on customer loyalty. This research gives input to retail business managers in managing customer satisfaction through the proper development of customer loyalty programs.

The main purpose of this study is to investigate inflation rate and its impact on the growth rate or to GDP growth for Eurozone countries, using panel data for the period 1997-2017, on an annual basis with a total of 257 observations. For conducting the study, and achieving results, a multiple linear regression model with the least squares regression is used. Moreover, multiple linear regression analysis has been applied in order to investigate whether Inflation rate, as an independent variable, has any significant impact on economic growth. Consequently, in order to test the data used in the model we have applied diagnostic tests, such as Durbin-Watson test to analyze the correlation of serial correlation, as well as the Breusch-Pagan test for heteroskedasticity. The tests’ results give us strong indications that the model has no relation between of serial correlation and there is no heteroskedasticity either. The study conducted shows results generated from the model, and according to the econometric results indicate that Inflation rate has positive impact on the economic growth rate for euro area.

Nowadays, effective business performance depends on digital competitive factors and its ability to transform corporate capabilities in the light of digitalization. In this study, the evolving role of automated systems for global business operations in the era of Industry 4.0 has been assessed from a theoretical perspective with a practical approach. It is aimed to demonstrate the role of high technologies in an effective supply chain management system with new technological components and cyber-security issues of automated vehicles in SCM. This study highlights that developments in Artificial Neural Networks, Image Processing, Multi-Purpose Decision-Making, Blurred Linguistic Variables, and automated systems increase the performance of the supply chain management system and boost business performance. It is also shown that the evolving role of the automated system requires capital investments on Research and Development efforts

The aim of the empirical study is to investigate credit risk determinants in banking sectors across three kinds of South Asian economies. An accumulated sample of 105 unbalanced panel data of financial firms over the period of 2000-2015, by applying General Method of Moment (GMM) estimation techniques one-step at the difference in order to identify factors influencing credit risk. This study is inspired by two broad categories of explanatory variables which are bank-specific and macroeconomic. Bank-specific factors influencing unsystematic risk, while macroeconomic factors promoting systematic risk. The study uses a proxy of non-performing loans for credit risk in banking sectors of Pakistan, India, and Bangladesh. The empirical results have been found aligned with theoretical arguments and literature as expected. In comparison, NPLs in Pakistan is greater than India and Bangladesh, while India has the lowest ratio of non-performing loans. The study documents that bank-specific factors (inefficiency, profitability, capital ratio and leverage) have a significant contribution towards credit risk. Further, the study also finds a significant impact of macroeconomic variables on non-performing loans. While, the result in the case of Bangladesh predicts contradictions that have no significant effect on non-performing loans at various levels. The overall results indicate that credit risk is not influenced by only external factors but also affect by internal factors like bad management and skimping etc.

The contribution of organizational culture to the organization which includes the uniqueness of values, behavior, and psychology is needed by the organization. It also includes trust, experience, ways of thinking, and organizational expectations. Improving employee behavior into organizational citizenship behavior is needed by every organization. To bring OCB to employees, a well-formed commitment is needed. This study uses a quantitative approach to test 3 hypotheses using path analysis to see the role of mediation. Respondents numbered 169 in this study. The results found in this study are that mediators play a maximum role between organizational culture and OCB.

The aim of this research is to examine the effect of the customer loyalty program on customer satisfaction and its impact on customer loyalty. This program is developed by the company in order to increase customer satisfaction. Optimal customer satisfaction will be able to create customer loyalty. For a company, customer loyalty will guarantee the company’s income to be constantly optimal. The research is conducted using the survey method involving 110 customers and 100 feasible data used. The sampling technique used is judgment sampling and data collected through the questionnaire. It uses SEM in examining hypotheses assisted by software AMOS version 20.0. Member card significantly affects customer satisfaction, while discount promo has no significant effect on customer satisfaction and it also doesn’t affect customer loyalty. Member cards and discount promo have a direct effect on customer loyalty. In general, it can be understood that the customer loyalty program applied by Alfamart either member card or discount promo affects customer satisfaction and has an impact on customer loyalty. This research gives input to retail business managers in managing customer satisfaction through the proper development of customer loyalty programs.

Knowledge management is one of the most important strategic resources of the firm which has been ascertained to many organizations to acquire and apply it before their competitor for achieving competitive advantages. Similarly, due to rising environmental awareness among customers, governments, NGOs, and researchers, firms are facing increasing pressure to implement environmental management practices in their operations. The purpose of this paper is to identify the influence of knowledge management capability (KMC) on green supply chain management (GSCM) practices adoption of the manufacturing firm and subsequently the impact on firm performance. The data were collected from 262 Bangladeshi textile manufacturing firms and analyzed using structural equation modeling, typifying that exploratory and quantitative research. Drawing upon the resource-based view the study revealed that KMC has a significant positive effect on internal and external-GSCM practices adoption. Further, the study revealed that internal-GSCM practices have significantly positive effects on both economic and environmental performance while the external-GSCM practice has positive environmental performance but negatively affects economic performance. Finally, this study indicates that KMC is an intuitive resource of a firm that can bring sustainable performance through GSCM practices.

This study examines the importance of work ethics for employees in the organization towards performance achievement by bringing up the role of adversity quotient mediator. The study aimed to investigate and explore the direct and indirect influence through mediators by using path analysis techniques with the help of AMOS version 24. The process of data collection was carried out using three research variable scales. The number of research respondents is 220 employees. The results of the analysis prove four hypotheses that have been shown to have direct influence, and the role of the mediator is perfect in mediating the two variables. The results of this study can be useful for organizations and practitioners of psychology in industry and organizations.

The aim of the empirical study is to investigate credit risk determinants in banking sectors across three kinds of South Asian economies. An accumulated sample of 105 unbalanced panel data of financial firms over the period of 2000-2015, by applying General Method of Moment (GMM) estimation techniques one-step at the difference in order to identify factors influencing credit risk. This study is inspired by two broad categories of explanatory variables which are bank-specific and macroeconomic. Bank-specific factors influencing unsystematic risk, while macroeconomic factors promoting systematic risk. The study uses a proxy of non-performing loans for credit risk in banking sectors of Pakistan, India, and Bangladesh. The empirical results have been found aligned with theoretical arguments and literature as expected. In comparison, NPLs in Pakistan is greater than India and Bangladesh, while India has the lowest ratio of non-performing loans. The study documents that bank-specific factors (inefficiency, profitability, capital ratio and leverage) have a significant contribution towards credit risk. Further, the study also finds a significant impact of macroeconomic variables on non-performing loans. While, the result in the case of Bangladesh predicts contradictions that have no significant effect on non-performing loans at various levels. The overall results indicate that credit risk is not influenced by only external factors but also affect by internal factors like bad management and skimping etc.

Nowadays, effective business performance depends on digital competitive factors and its ability to transform corporate capabilities in the light of digitalization. In this study, the evolving role of automated systems for global business operations in the era of Industry 4.0 has been assessed from a theoretical perspective with a practical approach. It is aimed to demonstrate the role of high technologies in an effective supply chain management system with new technological components and cyber-security issues of automated vehicles in SCM. This study highlights that developments in Artificial Neural Networks, Image Processing, Multi-Purpose Decision-Making, Blurred Linguistic Variables, and automated systems increase the performance of the supply chain management system and boost business performance. It is also shown that the evolving role of the automated system requires capital investments on Research and Development efforts