Impact of Digital Entrepreneurs’ AI Perception & Blockchain Adoption on UN SDGs
Analyzing how emerging digital enterprise tech reduces transaction frictions and accelerates sustainable development targets.

The Centre for Economic Transformation & Sustainability (CETS) investigates corporate decarbonisation, circular business models, and responsible technology governance through rigorous empirical field audits.

Associate Professor of Management Studies
Faculty of Business Studies, University of Rajshahi
Pioneering empirical investigations into circular economy models, corporate social responsibility, and marginal women entrepreneurship across emerging market economies.
Drawing on in-depth narrative inquiry and phenomenological interviews across rural enterprise communities in Bangladesh, this study examines grassroots empowerment barriers, informal microfinance dynamics, and institutional interventions that build enterprise resilience and sustainable livelihoods for women founders in developing markets.
Analyzing how emerging digital enterprise tech reduces transaction frictions and accelerates sustainable development targets.
Empirical investigation examining faculty and student behavioral readiness, institutional barriers, and ethical AI integration.
Extended theory of planned behaviour modeling food security, smallholder resilience, and climate-adaptive agricultural adoption.
Guiding CETS's mission at the Faculty of Business Studies, University of Rajshahi — uniting econometric rigor, circular enterprise models, and sustainable economic transformation.

Associate Professor, Department of Management Studies
Faculty of Business Studies, University of Rajshahi
Corporate Sustainability • Circular Economy • Women Entrepreneurship
“Sustainable transformation in emerging economies begins with empowering marginal entrepreneurs, circular supply architectures, and embedding ethical governance into technological adoption.”
Founding CETS as an autonomous academic platform at the University of Rajshahi. Spearheading empirical field investigations across manufacturing SMEs, microfinance interventions, and circular business models. Serving as Editor-in-Chief of CJIT and CJSS, publishing peer-reviewed research in high-impact international journals.

Professor & Chairman, Department of Finance
Faculty of Business Studies, University of Rajshahi
Ph.D. in Finance (Monash University, Australia)
Rigorous empirical scholarship and sustainable financial architectures must serve as the primary compass for industrial decarbonisation and equitable socio-economic transformation.
Directing academic governance, econometric methodology, and international research ethics at CETS. Fostering Diamond Open Access journals (CJIT and CJSS) and evidence-based economic policy dialogue without author-facing paywalls or corporate bias.
Dedicated interdisciplinary labs conducting field audits, econometrics, and policy diagnostic evaluations.
Focusing on industrial reverse logistics, material flow analysis, waste-to-resource valorisation, and SME decarbonisation hurdles across South Asia.
Investigating enterprise carbon reduction strategies, environmental disclosure integrity, and industrial climate transitions.
Evaluating algorithmic accountability, generative AI adoption in higher education, blockchain governance, and digital public infrastructure.
Qualitative narrative inquiry and randomized community investigations on microfinance access, informal trading networks, and female business ownership.
Employing quantitative microdata modeling, difference-in-differences regressions, and econometric panel data for evidence-based decision making.
Engineering low-carbon operational logistics, closed-loop supply chains, and industrial resource recovery across manufacturing facilities.
Diamond Open Access under CC BY 4.0 license with zero author processing charges (APC).
Twice yearly Academic Journal • Double-Blind Peer Review • DOI: 10.69712/cjit
Focusing on artificial intelligence governance, enterprise digital transformation, fintech inclusion in emerging economies, smart manufacturing, and industrial decarbonisation technologies.
Twice yearly Academic Journal • Double-Blind Peer Review • DOI: 10.69712/cjss
Focusing on corporate social responsibility (CSR), circular economy models in SMEs, regenerative supply chain networks, marginal women entrepreneurship, and ESG green finance.
Explores the psychological resilience, entrepreneurial self-efficacy, and business model adaptation of physically challenged female micro-entrepreneurs in emerging economies, modeling how adversity quotient and social capital foster venture sustainability.
Investigates institutional readiness, faculty pedagogical perceptions, and ethical governance mechanisms driving generative AI integration across universities in developing nations, proposing a comprehensive ethical AI adoption framework.
Examines technology acceptance factors, institutional ICT infrastructure hurdles, and psychological factors governing AI tool adoption among academic researchers and students utilizing an extended UTAUT2 model.
Investigates managerial attitudes toward strategic CSR investments versus philanthropic spending across private commercial banks in Bangladesh, demonstrating an empirical shift toward ESG-aligned green financing.
This paper examines the institutional and behavioral determinants influencing the implementation of explainable artificial intelligence (XAI) and blockchain-enabled verifiable credentials across tertiary universities and municipal agencies in developing South Asian economies. Utilizing a stratified structural equation modeling (SEM) design across 412 academic administrators and ICT officers, the empirical findings reveal that technological transparency and regulatory congruence significantly mitigate algorithmic aversion, resulting in a 41.2% higher adoption readiness. Policy frameworks for ethical AI governance in public service are formulated.
Venue: Senate Hall & Rabindra Building, University of Rajshahi. Connecting global management scholars, economists, and environmental policy advisors.
High-level consultation bringing together commercial bank executives, SME chamber leaders, and government regulators.
Doctoral & faculty masterclass covering empirical causal inference in management and development economics.
In adherence to open science principles, CISR provides public access to verified microdata archives, survey questionnaires, and econometric replication scripts (Stata, R, Python) supporting published empirical investigations.