Strategic Information Systems Planning (SISP) has been a topic of considerable importance and interest to Information Systems (IS) professionals since the 1970's and consistently ranked as a top issue for IS executives in both developed and developing countries. Studies have shown that SISP can assist manager in defining the information systems, develop IS strategy, and allocate resources for IS strategy. However, the use of SISP in healthcare sectors in developing countries like Bangladesh is underdeveloped and under-researched. This study examined the benefits of SISP in healthcare organization in developing countries in general and Bangladesh in particular. This study also focused on the current practice and key implementation challenges of Strategic Information Systems Planning (SISP) in healthcare sectors in developing and transitional economies. Finally, some recommendations are proposed to overcome the challenges using a ‘hybrid’ approach.
Leather is a unique commodity that links grassroots villages with high societies and traditional practices with emerging technologies. For many developing countries, leather and leather manufacturers constitute an indispensable and dependable source for export trade and foreign exchange earnings. For Bangladesh, leather is a high priority industrial sector and footwear exports, an extreme focus area. Bangladesh has, just few decades since Independence, made significant gains from the leather trade, progressing from the status of an exporter of 90% plus raw hides and skins to that of an exporter and predominantly leather product manufacturer. However, there is little systematic research into this sector. This study is trying to address the research gap by seeking to understand the current status, problems and prospect of leather industry in Bangladesh.
Artificial intelligence-driven cryptocurrencies are cryptocurrencies created by Artificial intelligence using the traditional human cryptocurrency development framework without human intervention. An AI explores the data from each different stream and arriving at the framework which can host these cryptocurrencies following the standards of legality. Cryptography is the encryption of specific data to conceal it and keep it a secret from unwanted third parties. Cryptocurrencies are encrypted currencies with unique keys as developed by developers. Artificial intelligence is an advanced machine programmed to simulate and emulate human intelligence by carrying tasks and reaching conclusions with little or no human intervention. This work considered the use of AI through machine learning and deep learning in the development of cryptocurrencies. The AI machine will set all the parameters and structure of the cryptocurrency. This will include how data is added, removed, and verified on the stream. Blockchain is an open ledger of a cryptocurrency's transactions. It stores files in the system, arranged in blocks, and connected on a list called chains. The article considers how AI-driven cryptocurrency will run using the blockchain network and its impact on it. Artificial intelligence and cryptocurrency are technological very essential technological development currently. The effect of the combination of both technologies would be enormous in the future as both technologies will develop each other remarkably.
The government of Bangladesh (GoB) recently have introduced the concept of Digital Bangladesh. Education is one of the most vital sectors to make the digital nation. For that reason, the GoB has started to convert primary to e-primary schools. The main objective of this study is to investigate the current Information and Communication Technology (ICT) implementation status in e-primary schools by the GoB. The study is quantitative in nature. The study also develops an ICT implementation status model from the eprimary school systems in Bangladesh. This model has identified the ICT equipment, analyzed the ICT support & equipment, given weighted to each factor and investigated the current state of ICT implementation of eprimary schools in Bangladesh. The study has taken 800 sample schools from 8 divisions to investigate the current ICT implementation status. The study suggested that before implementing the ICT they will make sure all the infrastructure of ICT is available in those primary schools.
There has been a moderate number of research works, published and unpublished, relating to the broader field of leather industry in Bangladesh. Research on and for the leather industry has undoubtedly grown-up in contemporary years. The existing socio-economic condition of Bangladesh provides an encouraging prospect for leather Industry. It attracted many economists, environmentalists and technical persons to do research works regarding various aspects of this sector. This study makes a humble attempt to present a brief review of the existing relevant literature on the leather industry of Bangladesh.
A country’s economic and technological development in the twenty-first century depends heavily on higher education. Similar to other countries, the majority of higher education institutions in Bangladesh are private universities that offer educational services alongside public (government-funded) universities. This study aims to investigate how service quality dimensions and digital transformation influence student satisfaction and student retention in private universities in Bangladesh. Data were acquired from a convenient sample, including students from the top five private universities in Bangladesh, through a self-administered questionnaire survey. The questionnaire was completed by 210 of the 235 students who were asked to participate. Each questionnaire was carefully examined. 200 were determined to be appropriate for this study. A conceptual model of eight factors, including the five dimensions of the SERVQUAL model, digital transformation, student satisfaction, and student retention, was framed and tested. Descriptive statistics (mean and standard deviation), multiple regression, and bivariate regression analyses were conducted using SPSS 26.0 to test the hypothesized relations. According to the findings of descriptive data, students are satisfied with the quality of private university services and digital transformation activities. This study reveals that all the service quality dimensions positively and significantly impact student satisfaction except the empathy dimension. It is also found that digital transformation substantially influences student satisfaction. Furthermore, student satisfaction has a positive and significant influence on student retention. To the best of the authors’ knowledge, this is the first initiative to investigate the impact of service quality dimensions and digital transformation on student satisfaction and student retention in the context of private universities in Bangladesh. This study contributes to higher education institutions for the improvement of service quality dimensions and the digital transformation to obtain student satisfaction and student retention in highly competitive educational sectors. Finally, this work argues that digital transformation in higher education is necessary for survival and growth in the twenty-first century.
The fast technological advancements in machine intelligence and automation may also arrive with risks and some negative effects on employees, firms, and society at large. Currently, both end-users, scientists, and practitioners have acknowledged the need for machine assistance and also welcome consideration for a robust ethical strategy that will allow a safe application and usage of improved technologies. Artificial Intelligence related ethics has been presented and considered from various standpoints and views. This paper furthers on the subject. Potential ethical issues are envisaged in the area of machine end-user perceptions, privacy, accountability, and the robot/ human rights, design of ethical machines, and technological singularity. It, therefore, possesses the question. What are the current ethical issues with the use of machines? The study adopted a quantitative and qualitative approach to drawing conclusions from the thematic and descriptive analysis. The result shows that majority of the respondents were males 46 (65.7%) while 24(34.3%) were females. They are mainly literates/ Majority 49(70%) are from the private firm and come majorly from the Asian continent. The majority of the respondents view that ethical consideration is necessary for machine and automation design, the machine-human relationship should be improved. Their privacy should be instituted while they consider technology singularity as a severe issue and desire the creation of ethical machines. Following this result, the study documents policy recommendations.
Globalization is creating similar environments for younger consumers around the world. With younger individuals being socialized in more similar environments than their parents, the former should have more comparable values than the latter. The goal of the current study was to empirically test this argument. 154 consumers served as voluntary subjects (84 from the USA and 70 from Bangladesh). Questionnaires were administered to respondents for gathering the necessary data. The respondents ranged in age from 19 to 80. Based on data gathered from 120 subjects across two countries, the results support growing similarities in values between younger consumers in comparison to older consumers. These results suggest that marketers might be able to adopt standardized marketing practices with younger individuals, whereas standardization might not have been an option with their parents. JEL Classification Code: D46, F01, M31
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