Open Access journal ISSN (Print) 2304-2613 - ISSN (Online) 2305-8730 This journal is no longer being updated because: Archived because its RSS was removed by publisher
Authors:Md. Shelim Miah First page: 93 Abstract: Customers of the banks are highly servicing sensitive in Bangladesh. The quality of service has become an integral part of customer satisfaction. Day by day, It has been demonstrated that customer satisfaction and loyalty are linked to service quality. There is also a link between service quality and customer satisfaction, and customer loyalty in banks. Therefore, this paper investigated the effect of service quality factors on customer satisfaction and the relationship between customer satisfaction and customer loyalty in conventional banks in Bangladesh. A survey was conducted on 13 different conventional banks in Bangladesh. Using simple random sampling, 220 customers were selected as a sample from selected conventional banks for this study. The research was carried out using a structured questionnaire. The SPSS software was used to analyze the demographic data. Multivariate analysis technique like Factor Analysis and Structural Equation Modeling (SEM) was used to identify the influential factors for the bank's customer loyalty by using SmartPLS3 software. The study found that all service quality factors such as assurance, reliability, responsiveness, and tangibility are the influential factors except empathy. PubDate: 2021-12-31 DOI: 10.18034/abr.v11i3.593 Issue No:Vol. 11, No. 3 (2021)
Authors:Trina Saha, Fatema Jannat Pages: 93 - 100 Abstract: Business organizations can secure their future growth by implementing sustainable development goals into their business process. With the advancement in accounting, the nature of reporting practices is also changing. Now reporting is not merely restricted to financial statements, information related to social contribution, environment; sustainability has attained much interest in the corporate world. This study aims to find out the nature and extent of reporting practices of SDGs by some listed companies of the Dhaka Stock Exchange. The samples of this study are 40 companies from several sectors, including banks, pharmaceuticals, insurance, ceramics, telecommunication, etc. are selected based on market volume. Content analysis based on 16 recommendations under governance, strategy, management approach, and performance and targets found from an extensive literature review has been made to fulfill the research objectives. Annual reports from 2019 to 2020 are examined to determine the disclosure issues based on given recommendations. The findings reveal the minimum level of direct disclosure of SDGs but a satisfactory level (around 87.5%) of exposure about the consciousness of SDGs and involvement of SDG in strategy (approximately 63.75%). This study is pioneering because there is very little research about it in our country; thus, it is expected to encourage more research on this subject. JEL Classifications: G10, G38, I38 PubDate: 2021-12-31 DOI: 10.18034/abr.v11i3.594 Issue No:Vol. 11, No. 3 (2021)
Authors:Md. Redwanuzzaman, Wahiduzzaman Khan Pages: 109 - 116 Abstract: This study aims to provide commercial banks with the impact of the elements of the marketing mix on customer satisfaction. The motivation behind taking the study is to find which of the elements of the marketing mix have the most impact on bank customer satisfaction for the commercial banks at the Rajshahi division in Bangladesh. A survey of 350 commercial bank clients was conducted in the middle of 2020 using a simple random sampling technique. The reliability test, frequency distribution, Pearson's correlation analysis, one-sample t-test, and multiple regression techniques were used to assess the collected data. According to the findings, marketing mix factors impact customer satisfaction for service-oriented firms such as banks as they do for customers of tangible goods. Furthermore, the findings revealed that the attributes of 'People,' 'Price,' and 'Product,' which are elements of the marketing mix for bank settings, are highly correlated and have the most significant effects in predicting customer satisfaction of commercial banks in Rajshahi division of Bangladesh. The findings have important ramifications for bank executives, as they can be used to build future banking strategies based on them. PubDate: 2021-12-31 DOI: 10.18034/abr.v11i3.598 Issue No:Vol. 11, No. 3 (2021)
Authors:Mahesh Babu Pasupuleti, Harshini Priya Adusumalli Pages: 119 - 124 Abstract: It's difficult to deal with the dynamic nature of VANETs and WSNs in a way that makes sense. Machine learning (ML) is a preferred method for dealing with this kind of dynamicity. It is possible to define machine learning (ML) as a way of dealing with heterogeneous data in order to get the most out of a network without involving humans in the process or teaching it anything. Several techniques for WSN and VANETs based on ML are covered in this study, which provides a fast overview of the main ML ideas. Open difficulties and challenges in quickly changing networks, as well as diverse algorithms in relation to ML models and methodologies, are also covered in the following sections. We've provided a list of some of the most popular machine learning (ML) approaches for you to consider. As a starting point for further research, this article provides an overview of the various ML techniques and their difficulties. This paper's comparative examination of current state-of-the-art ML applications in WSN and VANETs is outstanding. PubDate: 2021-12-31 DOI: 10.18034/abr.v11i3.603 Issue No:Vol. 11, No. 3 (2021)
Authors:Sharmin Sultana Pages: 41 - 50 Abstract: The paper has been designed to explore whether the impact of remittance on the real exchange rate causes any Dutch disease problem for Bangladesh and Pakistan. These two South Asian countries have been targeted to figure out if the outcomes are similar for the countries with almost the same economic structure. Johansen co-integration approach, Vector Error Correction Method (VECM), and Granger Causality test have been employed taking real exchange rate as regressand and remittance and other attributing variables as explanatory variables with an aim to address the study objective. The study has used data from the World Development Indicators database ranging from 1986 to 2019. The results for both countries reveal that remittance is significantly negatively related to the real exchange rate which implying the appreciation of the domestic currency. However, this appreciation causes the Dutch disease phenomenon for neither Bangladesh nor Pakistan. PubDate: 2021-04-16 DOI: 10.18034/abr.v11i1.524 Issue No:Vol. 11, No. 2 (2021)
Authors:Harish Paruchuri Pages: 51 - 58 Abstract: Economic forecasting is a very important aspect that policymakers in the financial and corporate organization rely on because helps them to determine future events that might infringe some hardship on the economy and the citizens at large. However, the principal statistical pointers that are available to the public domain provide numerous reservations and doubts for their economics estimates as it is later released with frequent issues to major revisions and also it shows a great lag in decision making for an incoming event. To this effect, the expansion of the latest forecasting patterns was important to address the gaps. Hence, this paper examines the conceptualization of Machine learning in economic forecasting. To achieve this, the Italian economy was used as the dataset, and machine learning controlled tools were used as the method of analysis. The result obtained from this study shows that machine learning is a better model to use in economic forecasting for quick and reliable data to avert future events. PubDate: 2021-05-01 DOI: 10.18034/abr.v11i2.532 Issue No:Vol. 11, No. 2 (2021)
Authors:Apoorva Ganapathy Pages: 59 - 66 Abstract: An edge computing system is a shared IT (Information Technology) system where customer data can be processed at the edge of the network to as close as possible to the originating source. The Internet of Things connects the various things on the internet, making it easier to live and allow jobs to be done more smartly. It also gives total control to the users. The combination of Edge computing and the Internet of Things can potentially result in huge possibilities for users. This work accessed edge computing and the benefits of using edge computing. It also looked into how to edge the many possibilities that can result in the use of edge computing. Various similar concepts like fog and cloud computing were also considered as closely related terms. This article provides insights into the use of edge computing in several industries. PubDate: 2021-06-15 DOI: 10.18034/abr.v11i2.547 Issue No:Vol. 11, No. 2 (2021)
Authors:Mst. Hasna Banu, Md. Sayaduzzaman, Subhash Chandra Sil Pages: 67 - 74 Abstract: The prime concentration of this study is to scan the respondents’ opinions regarding the application status of the different units of GAAP in preparing the different financial reports by the sample banks. To meet this objective an attempt has been made to collect opinions from one hundred fifty respondents comprising of fifty chartered accountants, fifty cost and management accountants as well as fifty academicians. Frequency analysis has been used to evaluate their perceptions. The result of frequency analysis reveals that the sample banks greatly apply the accounting entity assumption, going concern assumption, assumption of a stable momentary unit as well as time period assumption in preparing the financial statements. Furthermore, this study has likewise employed ANOVA as well as Chi-square techniques to investigate whether there is any significant deviation amidst the respondents’ opinion concerning the execution of different segments of GAAP for financial reporting practice of the sample banks and the outcomes indicate that there is the significant difference among the respondents’ opinion regarding the application status of the different units of GAAP in financial reporting practice by the sample banks in some cases and in other cases the difference of opinion has also been observed. PubDate: 2021-07-01 DOI: 10.18034/abr.v11i2.577 Issue No:Vol. 11, No. 2 (2021)
Authors:Md. Shakawat Hossain, Nur Mohammad Ali Chisty, Donyea Lamont Hargrove, Ruhul Amin Pages: 75 - 80 Abstract: Internet of Things (IoT) is anticipated to be one of the primary megatrends up in innovation. Integrated with the current and upcoming mobility of digital gadgets, it offers ground to applications in numerous domains, including retail. The capability of sensors for setting applicable, customized, real-time, and intuitive communication with buyers and customers is considered to be a driving force of traffic and exchange, a facilitator of development along the way to elevate their purchasing experience. Simultaneously, IoT can serve to further develop relationships and foundations for more viable retail business and digital store management. Currently, digitally savvy customers expect an Omnichannel experience at each touchpoint. They need to track down the ideal data at the perfect time at the right location. Location-based innovation in a retail setting identifies the way that users take to arrive at specific areas of a retail store and helps upgrade the shopping experience. This is the reason the Internet of Things (IoT) is beginning to take the online business to a higher level, and will probably disrupt the conventional retail processes on a significant scale in the coming time. This paper surveys and arranges the most common applications of IoT and solutions for successful marketing at retail from the point of retailers and customers as well as from the point of manufacturers confronting framework or communication-related issues. We propose a model that demonstrates the potential that IoT has as compared to standard industry practices of retail to drive business results and gain an upper hand. In this paper, we’ve likewise talked about the new developments and new techniques for the organizations to accomplish competitive advantage brought about by the uses cases of IoT, particularly in the field of mobile sensors. Such developments are likely the most prominent factor in the coming years to make progress in the advanced economy. PubDate: 2021-07-13 DOI: 10.18034/abr.v11i2.579 Issue No:Vol. 11, No. 2 (2021)
Authors:Allen Lim Chong Guan, Goi Chai Lee, Peter Dell Pages: 81 - 92 Abstract: The main purpose of this research is to explore how Canadian Generation Y consumers’ behavioral use of the Internet. This research explores to determine the factors and variables that can increase the number of Canadian Generation Y consumers’ behavior using Canadian small businesses’ retail websites. This provides information on how small business retailers are able to plan strategies and tasks to engage them. The research question is to gather qualitative data from Canadian Generation Y consumers’ on their daily Internet and online shopping activities, and security and privacy on the Internet. The rationale behind the research objectives is to better understand Canadian Generation Y’s behavioral usage of Canadian small businesses’ retail websites. As it is imperative for retail websites to be an intrinsic part of the Internet, it is therefore important to understand Canadian Generation Y’s behavioral usage of the Internet as well. This research makes a distinct contribution to the knowledge of the subject matters in the areas of Generation Y, small businesses, and the activities on the internet that are applicable to academicians and practitioners. This is the first time that research has been conducted specifically based on Canadian Generation Y consumers’ behavioral usage and activities of Consumers on the Internet. PubDate: 2021-07-16 DOI: 10.18034/abr.v11i2.580 Issue No:Vol. 11, No. 2 (2021)
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