MIS and Business Analytics
The fields of Management Information Systems (MIS) and business Analytics are closely interconnected, as they both encompass the utilization of technological tools and data analysis techniques to facilitate informed decision-making within the realm of company operations. MIS is a department within an enterprise responsible for controlling the hardware and software systems that the organization uses to make business-critical decisions. MIS is also a computer system consisting of hardware and software that serves as the backbone of an organization’s operations. An MIS gathers data from multiple online systems, analyzes the information, and reports data to aid in management decision-making. There are different domains within MIS, and these domains are used to analyze different aspects of the system.INTEREST(S)
Management Information systems Contemporary Technology adoption in business E-commerce Business AnalyticsBlockchain in Business Visual Analytics. Data miningPredictive ModelingE-governance
VISION
To contribute the effective use of information and technology within organizations to enhance their overall performance, competitiveness, and strategic decision-making.
MISSION
The vision of Management Information Systems (MIS) and Business Analytics research is to create a dynamic and adaptive business environment where the effective use of information and analytics empowers organizations to thrive in the digital era.
MEMBER(S)
AI Robo-Advisory Acceptance in Emerging Markets: A Dual Analytical Approach Using PLS-SEM and NCA"
This study aimed to determine the factors that influence the acceptance of AI robo-advisory services for financial decision-making among bank fintech app users in an emerging economy like Bangladesh. ...
: Measuring Public Value of E-Trade License Projects in Bangladesh: SME Perspective
This study examines the impact of improved situational factors, actor capabilities, and flexible process workflows on the public value of E-trade licenses in Bangladesh. The research aims to identify ...
AI Robo-Advisory Acceptance in Emerging Markets: A Dual Analytical Approach Using PLS-SEM and NCA
This study aimed to determine the factors that influence the acceptance of AI robo-advisory services for financial decision-making among bank fintech app users in an emerging economy like Bangladesh. ...
Toward a Digital and Sustainable Finance Ecosystem: A Systematic Review and Bibliometric Analysis on Fintech and ESG
The integration of Financial Technology (FinTech) and Environmental, Social, and Governance (ESG) concerns relates to the possibility of applying digitally based green finance solutions. This study se...
KYC Powered by Blockchain and AI in Commercial Financial Institutions
This research aims to examine the adoption of blockchain and artificial intelligence (AI) technologies for Know Your Customer (KYC) verification in Bangladesh's financial sector and to analyze the fac...
Determinants Influencing the Next-Generation Consumers' Intention to Adopt Buy Now, Pay Later (BNPL) Service in Bangladesh
Determinants Influencing the Next-Generation Consumers' Intention to Adopt Buy Now, Pay Later (BNPL) Service in Bangladesh
Technology Adoption in Shooting Sports
This study examines the behavioral and technological factors influencing shooters' intention to adopt electronic training technologies such as the SCATT training system in shooting sports. A quantitat...
Digital Licensing Ecosystems and Stakeholder Value: Unpacking the Role of Digital Trade Licensing in Firm-Level Value Creation
Digital trade licensing has become a fundamental aspect of digital governance changes designed to formalize enterprises and enhance economic participation. Nonetheless, there is scant empirical inform...
E-Tax Adoption in Bangladesh
The purpose and goal of this research study is to detect and distinguish the actual driving factors that leverage the continuance intention to use the E-Tax Portal in Bangladesh, and to evaluate which...
Post-Pandemic Telemedicine Integration: Adoption Rates, Clinical Applications, and Professional Challenges Faced by Medical Practitioners in Bangladesh
This study aims to identify the factors influencing the recommendation intention and continued use of telemedicine services, focusing specifically on Generation Z users. A quantitative, positivist app...
From Farm to GI Certification: Modeling Blockchain Adoption Determinants for Traceability in Bangladesh's Regional Fruit Supply Chains
Within the context of Bangladesh's GI-certified fruit sector, this study will investigate the factors that influence the intention to embrace blockchain technology and its implications on predicted bl...
Measuring public value of e-trade license projects in Bangladesh: SME perspective
Description: This study examines the impact of improved situational factors, actor capabilities, and flexible process workflows on the public value of E-trade licenses in Bangladesh. The research aims to identify how these factors contribute to enhancing transparency, efficiency, and user satisfaction within the digital licensing system. Given the increasing role of e-governance in facilitating business operations, understanding these influences is crucial for enhancing policy and driving economic growth. This study builds upon the Situation-Actor-Process (SAP) and Learning-Action-Performance (LAP) frameworks, which have been applied in public administration research to assess governance efficiency. Previous studies have explored public value creation in digital services, but have not specifically examined the licensing process in Bangladesh’s SME sector. This research extends existing knowledge by focusing on the digital governance landscape of a developing economy. A structured survey was conducted with 121 business owners who had obtained E-trade licenses. The questionnaire was pilot-tested, and data collection employed simple random sampling. Smart-PLS was used for structural equation modeling (SEM) to analyze relationships between variables, ensuring robustness through sensitivity and subgroup analyses. The findings indicate that improved situational factors, higher actor capabilities, and flexible workflows significantly enhance public value. The model demonstrates a strong explanatory power for public value, confirming the importance of these constructs in digital governance. The study highlights the need for targeted training for licensing officials, streamlined digital processes, and improved support for SMEs. These insights are valuable for policymakers and researchers aiming to enhance e-governance efficiency.
Measuring public value of e-trade license projects in Bangladesh: SME perspective.
Description: This study examines the impact of improved situational factors, actor capabilities, and flexible process workflows on the public value of E-trade licenses in Bangladesh. The research aims to identify how these factors contribute to enhancing transparency, efficiency, and user satisfaction within the digital licensing system. Given the increasing role of e-governance in facilitating business operations, understanding these influences is crucial for enhancing policy and driving economic growth. This study builds upon the Situation-Actor-Process (SAP) and Learning-Action-Performance (LAP) frameworks, which have been applied in public administration research to assess governance efficiency. Previous studies have explored public value creation in digital services, but have not specifically examined the licensing process in Bangladesh’s SME sector. This research extends existing knowledge by focusing on the digital governance landscape of a developing economy. A structured survey was conducted with 121 business owners who had obtained E-trade licenses. The questionnaire was pilot-tested, and data collection employed simple random sampling. Smart-PLS was used for structural equation modeling (SEM) to analyze relationships between variables, ensuring robustness through sensitivity and subgroup analyses. The findings indicate that improved situational factors, higher actor capabilities, and flexible workflows significantly enhance public value. The model demonstrates a strong explanatory power for public value, confirming the importance of these constructs in digital governance. The study highlights the need for targeted training for licensing officials, streamlined digital processes, and improved support for SMEs. These insights are valuable for policymakers and researchers aiming to enhance e-governance efficiency.