Jahangirnagar University Journal of Business Research

Unraveling the Dimensions of E-Servicescape and its Influence on E-Grocery Shopping Intention: Application of Stimulus-Organism-Response (S-O-R) Framework

Nayeema Ahmed — 2024-02-13

This study aims to identify the dimensions of e-servicescape and to analyze the influence of these dimensions on customers e-grocery shopping intention. Based on the dimensions of e-servicescape proposed by Harris and Goode (2010) and the S–O–R framework proposed by Mehrabian and Russel (1974), a conceptual model was developed. The proposed model considered e-servicescape environment as stimuli, internal response (i.e., attitude and trust) as organism and online purchase intention as behavioral response. Data were collected from 200 respondents who purchase grocery items from e-commerce websites of Bangladesh. The PLS-SEM using SmartPLS V.3.3.3 evaluated the proposed model. The results revealed that financial security has positive influence on attitude towards website. The results also show a significant positive impact of aesthetic appeal, functionality and layout and financial security on trust in website. Finally, the study confirms that purchase intention is positively influenced by attitude towards website and trust in website. Stakeholders of e-commerce websites of Bangladesh can be benefitted from this study.

The Effect of Lending Decision Quality on the Performance of Shariah Based Banks: Empirical Evidence from Bangladesh

Ratul Kumar Saha — 2024-02-13

The study tries to find how lending decision quality impacts the financial performance of shariah-based banks from a Bangladeshi perspective. A strongly balanced panel data set of seven shariah-based banks from 2009 to 2021 have been used to run the econometric model required for this paper. The study uses the total classified loan to total loans (CLTL), Provision maintained to total loan (PLTL), Provision Maintained to Classified Loan (PMCL), and Capital Adequacy Ratio (CAR) as a proxy for lending decision quality, whereas the return on asset (ROA) and Net interest margin (NIM) serves the role of performance indicator. Bank Size is also used here as a control independent variable. This paper finds that both CLTL and Bank Size have a significant negative relationship with profitability, and PMCL shows a positive impact on performance. The study does not find any meaningful relationship between CAR and PLTL with bank performance. The contribution from this study suggests that any additional nonperforming loan strain on the shariah-based banking system could result in catastrophic implications such as a negative return or a capital deficiency.

Antecedents of Customer Loyalty in The Telecommunications Industry -Evidence from Bangladesh

Md. Shariful Islam — 2024-02-13

With the rapid growth of the telecommunications industry in Bangladesh, many people have adopted this communication process. While previous studies have extensively examined the adoption of mobile services, few have focused on customer loyalty and satisfaction in Bangladesh. This study primarily investigates the factors that impact customer loyalty in the Bangladeshi context of the telecommunications industry. The Theory of Reasoned Action (TRA) is used as the underlying theory to explain customer loyalty. A quantitative research strategy was employed, and data was collected through a self-administered questionnaire survey, with 360 out of 382 collected questionnaires being usable for analysis, resulting in a 94.24% usable data response rate. Partial Least Square Structural Equation Modeling (PLS-SEM) with the assistance of Smart PLS 4.0 was used to analyze the collected data. The study's findings indicate that price and consumers' trust significantly affect customer satisfaction and loyalty in Bangladesh and have the same impact on the indirect effect of price and consumers' trust on customer loyalty through customer satisfaction. The proposed model highlights important and significant factors in customer satisfaction and loyalty, allowing telecommunications industry managers to identify the specific antecedents of loyalty and focus their policies on these, particularly in terms of price and consumers' trust in Bangladesh. Furthermore, this study offers numerous theoretical and practical implications for academics and practitioners. While the validation of this model in the telecommunications sector provides a novel perspective on comprehending customer loyalty from both theoretical and practical standpoints, it is important to acknowledge that there might exist additional factors influencing customer loyalty that warrant inclusion in future research endeavors. This research is one of the few to conceptually underpin the theoretical concept of exploring customer loyalty in a developing country like Bangladesh. Similarly, these findings may be applicable to other similar developing countries.

Liquidity Dynamics in Bangladesh: Investigating the Impact of Selected Macroeconomic Indicators Using an ARDL-ECM Method

S.M.A. Moudud Ahmed — 2024-02-13

The study scrutinizes the influence of the selective macroeconomic forces on the liquidity of Bangladesh. The ratio of excess reserve and total deposit liability is used to represent the liquidity of Bangladesh while total domestic credit, lending rate, consumer price index (CPI), excess reserve and exchange rate are selected as the macroeconomic forces. Using yearly data from 1986 to 2021, different time-series techniques have been used. Cointegration test explicates no cointegrating relationship among the variables. It has been found that 58% of the variation of liquidity is explained by the variation of liquidity itself 20% by domestic credit, 19% by consumer price index and another 12% by the other variables like excess reserve, exchange rate and lending rate. From the result of VAR lag order selection criteria, the maximum lag of the series is one. VAR model suggests the stability and no autocorrelation among the variables. From granger causality test, it can be inferred that domestic credit can forecast consumer price index, consumer price index can cause excess reserve of the country, consumer price index can forecast lending rate, domestic credit can cause increase or decrease the liquidity of the country, liquidity can granger cause excess reserve and excess reserve can cause any changes in liquidity. Lastly, excess reserve can predict lending rate. This results will help the policy makers to predict the liquidity trends and the impact of some selected macroeconomic variables contributing to predict the liquidity.

HOW DO CUSTOMERS PAY FOR THEIR ONLINE FOOD PURCHASES? A Study on the Online Food Purchasers in Bangladesh

Kaniz Fatima — 2024-02-13

This paper investigates the choice of payment methods by online food purchasers in Bangladesh. The objective is to identify the factors influencing the choice of payment methods and factors influencing the choice. Responses are collected from 540 respondents through an online questionnaire survey. Cross-tabulation, frequency analysis, the Chi-square independence test, and binary logistic regression are used for in-depth analysis of the data. Cash on delivery is found to be the most favored method of payment followed by mobile financial services (MFS) and internet banking and/or debit/credit cards. Among the demographic variables, purchasers’ gender showed a significant but weak influence on the choice of payment method. MFSs are the most preferred payment method for men. A larger percentage of women prefer the cash-on-delivery method. The use of debit/credit cards is more prevalent among the female purchasers. Other demographic variables such as household income, age, and profession did not portray any significant influence on the choice of payment method. However, frequent buyers are found to prefer online payment (MFS, card, or internet banking) to occasional buyers. The findings of the study contribute to business literature by shedding light on an inadequately tapped area of research. Factors identified to be significant in the choice of payment methods will help online food traders address issues related to their business process and effectively communicate the improvements they can make. The findings of the study may also instigate the financial service providers to be motivated to focus on educating customers about online payment systems and their built-in security.

Factors influencing consumers’ continuance usage intention toward Food Delivery Apps during COVID-19 in Bangladesh

Raihan Sharif — 2024-02-13

The aim of this research is to identify the factors that are crucial to formulating consumers’ attitude toward using food delivery apps (FDAs) continuingly during the coronavirus pandemic. Due to the pandemic, the catering enterprises changed their way of doing business significantly and gone through a digital transformation to survive. Consequently, this marked a shift in consumers’ attitude towards FDAs. To understand the shift and how consumers’ technological and mental perceptions are contributing to continuance usage intentions, a hypothetical model was proposed using variables from Unified Theory of Acceptance and Use of Technology (UTAUT), Expectancy Confirmation Model (ECM) and the Task-Technology fit Model. A structured questionnaire was used to collect feedback from the repeat users of the FDAs through online social media sites and food review groups. In total 198 valid responses were gathered and analyzed. Structural Equation Modeling (SEM) through AMOS 26 was utilized to test the proposed model fit. Some items in the constructs had to be dropped off to make the model fit. Initially four hypotheses were proposed. Among them only two were validated. The outcomes show that satisfaction and social influence have significant positive impact in determining continuance usage intention toward FDAs among Bangladeshi consumers. While perceived Task-technology fit and trust have non-significant relationship with consumers’ continuance intention. These insights might prove helpful for both online food aggregators and catering businesses in designing marketing plan and formulating effective strategies to build a sustainable consumer base. Future research can extend the model by adding more variables to understand relevant technology’s continuance usage intention. This paper is a unique contribution to the existing literature on FDA continuance intention on coronavirus emergency because no previous studies were undertaken to investigate Bangladeshi consumers. So, this is an original piece of work according to the best of the researchers’ knowledge

Examining Volatility in Bank Stock Prices: A Comparative Exploration of Dividend Policies, Macroeconomic Influences, and Company-Specific Factors

Nusrat Rahman — 2024-02-13

This study aims to ascertain and compare factors influencing stock price volatility in terms of dividend policy, macroeconomic and company specific aspects for selected subset of listed banks in Bangladesh. Eleven years of secondary data (from 2011 to 2021) for fifteen commercial banks (representing 61.5% market capitalization of the banking sector) was acquired from diverse sources. The dependent variable chosen is stock price volatility, whereas the dividend policy is initially represented by dividend payout ratio (PRt & PRt-1), dividend yield (DYt & DYt-1). Several firm and country-specific macroeconomic indicators are used as control variables. A methodical approach followed by panel data analysis has been employed to identify a suitable model that can yield more accurate estimators. Consequently, some diagnostic tests are also performed to account for diagnosed problems: contemporaneous cross-sectional correlation, group-wise heteroskedasticity and autocorrelation; Driscoll-Kraay standard error regression model is finally applied. The study not only found significant negative impact of dividend payout ratio but also spotted a significant influence of inflation, EPS, and firm size on stock price volatility. Price volatility influenced by “No dividend policy” can be reinvestigated from the aspect of behavioral finance in the future. Furthermore, this study also sheds light on to what extent firm-specific and macroeconomic influence impact stock price volatility in Bangladesh's banking sector.

Biometrics Authentication for E-payment

Abul Khayer — 2024-02-13

This study is designed to assess several key predictors of user intention to accept biometrics authentication for e-payment. To do so, a research model is constructed based on the prominent unified theory of acceptance and use of technology (UTAUT) framework. Further, the UTAUT model is expanded by integrating three prevalent constructs that are essential to accept biometrics authentication. As the principal analytical tools, structural equation modelling (SEM) and importance performance map analysis (IPMA) are employed. The study reveals significant effects of performance expectancy, effort expectancy, social influence, perceived risk and perceived trust on attitude. Moreover, attitude, facilitating conditions, and perceived trust play a substantial role in predicting user adoption intention to biometrics authentication in e-payment. The IPMA suggests that perceived trust and facilitating conditions fall into the critical zone, requiring special managerial considerations. This research has offered a comprehensive research model to explore users’ biometrics authentication adoption behaviour, particularly in the field of e-payment. This study assesses the initial adoption behaviour of biometrics authentication in e-payments; therefore, assessing users’ continuance usage behaviour of this technology can be a potential for future research