Faculty Members Publications

Rani J., Saha S., Ferdous F., Rahman M.A. (2024), Assessment of the Bangladeshi antibiotic market: Implications of the WHO AWaRe classification and dosage form availability on antimicrobial resistance. Journal of Infection and Public Health, 17(12), 1-10. Article 102587. No.12:102587.

Rani J., Sadik G. (2024). “Isolation and characterization of cholinesterase inhibitors from Wedelia trilobata”, International Conference on Pharmaceutical and Health Sciences (ICPHS). (6-7 December 2024).

Rani J., Saha S., Rahman M.A. (2024). “Inappropriate marketing of Watch and Reserve class antibiotics in Bangladesh is posing big threat to the evolution of multidrug-resistant bacteria”, International Conference on Advances and Challenges through Translational Research in Biological Sciences. (27 April 2024).

Rani J., Saha S., Rahman M.A. (2023). “An analysis of antibiotic marketing of AWaRe (Access, Watch and Reserve) class antibiotics in Bangladesh”, International Conference on The Role of Science and Technology Towards 4IR. (5-6 October 2023).

• Jahan, M.R., Aziz, F.I., Ema, M.B.I., Islam, A.B. and Islam, M.N., 2019, June. A wearable system for path finding to assist elderly people in an indoor environment. In Proceedings of the XX International Conference on Human Computer Interaction (pp. 1-7). [Click Here]
• Islam, M.N., Jahan, M.R., Ali, A., Rony, S., Anannya, T.T., Aziz, F.I., Bayzed, M., Yeazdani, A. and Rabbi, M.F., 2019. Design and development of an intelligent seed germination system based on iot. In Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change II: Proceedings of the 2nd International Conference of ICT for Adapting Agriculture to Climate Change (AACC'18), November 21-23, 2018, Cali, Colombia (pp. 146-161). Springer International Publishing. [Click Here]
• Rahman, M.A., Liu, S., Li, R., Wu, H., Jahan, M.R. and Kwok, N., 2018, April. A review on brightness preserving contrast enhancement methods for digital image. In Ninth International Conference on Graphic and Image Processing (ICGIP 2017) (Vol. 10615, pp. 794-804). SPIE. [Click here]

Ashrafi, D. M., Iskender, A., & Shahid, T. (2025). Bytes to bites: Investigating QR code menu use behavior and green satisfaction in the restaurantscapes through a hybrid PLS-SEM and machine learning approach. Journal of Foodservice Business Research, 1-47. (Indexed by Web of Science and Scopus)

Ashrafi, D.M., Mone, F. H., Zabeen, M., Sarker, M. A. R., & Shahid, T. (2024). What Drives Users to Recommend Mobile Fitness Apps? A Three-Stage Analysis Using PLS-SEM, Machine Learning, and fsQCA. International Journal of Human–Computer Interaction, 1-31. (Indexed by Web of Science and Scopus; Impact factor: 3.4)

Ashrafi, D. M., & Akhter, M. (2024). The green Fintech paradox: understanding the dynamics of green brand positioning and user decision-making in the digital financial landscape. Journal of Modelling in Management. Ahead of Print (Indexed by Web of Science and Scopus; Impact factor: 2.2)

Chanda, R. C., Vafaei-Zadeh, A., Hanifah, H., Ashrafi, D. M., & Ahmed, T. (2024). Achieving a Sustainable Future by Analyzing Electric Vehicle Adoption in Developing Nations through an Extended Technology Acceptance Model. Sustainable Futures, 100386. (Indexed by Web of Science and Scopus, Impact factor: 3.3)

Ahmed, S., Chowdhury, U. Y., Ashrafi, D. M., Choudhury, M. M., Ahmed, R., & Ahmed, R. (2024). Speak, search, and stay: determining customers' intentions to use voice-controlled artificial intelligence (AI) for finding suitable hotels and resorts. Journal of Hospitality and Tourism Insights. (Indexed by Web of Science and Scopus; Impact factor: 4.80)

Ahmed, S., Ashrafi, D. M., Ahmed, R., Ahmed, E., & Azim, M. (2024). How employee engagement mediates the training and development and work–life balance towards job performance of the private banks?. The TQM Journal. Ahead of Print. (Indexed by Web of Science and Scopus; Impact factor: 3.80)

Ashrafi, D. M. (2024). Technology Takes the Wheel: Unveiling the Drivers of Car Dashcam Adoption. International Journal of Innovation and Technology Management, 2450024. (Indexed by Web of Science and Scopus; Impact Factor: 1.8)

Ashrafi, D. M., & Maoua, J. (2024). Harvest to basket: understanding drivers of organic food purchase behaviour through interpretive structural modelling and MICMAC approach. Journal of Modelling in Management. Ahead of Print. (Indexed by Web of Science and Scopus; Impact Factor: 2.5)

Ashrafi, D. M., Ahmed, S., & Shahid, T. S. (2024). Privacy or trust: understanding the privacy paradox in users intentions towards e-pharmacy adoption through the lens of privacy-calculus model. Journal of Science and Technology Policy Management. Ahead of Print. (Indexed by Web of Science and Scopus; Impact Factor: 3.0)

Ahmed, S., Ahmed, R., Ashrafi, D. M., Ahmed, E., & Annamalah, S. (2024). Building Trust in Cybernetic Payment Network: Insights from an Emerging Economy. Journal of Open Innovation: Technology, Market, and Complexity, 100331. (Indexed by Scopus)

Ashrafi, D. M., Chowdhury, S. M., Habiba, W., Chowdhury, S. H., Alam, M. S., Zabeen, M., & Sarker, M. A. R. (2024). Rigidity or fluidity? Does variety-seeking vary based on perceived threat during the COVID-19 pandemic? Sri Lanka Journal of Social Sciences, 46(2), 197-211 (Indexed by Scopus)

Ashrafi, D. M., Easmin, R., & Anwar, T. (2023). Funding Dreams, Fueling Causes: Individuals' Behavioral Intentions Toward Donation-Based Crowdfunding. SCMS Journal of Indian Management, 20(4). (Indexed by Scopus)

Ashrafi, D. M., & Easmin, R. (2023). Okay Google, Good to Talk to You… Examining the Determinants Affecting Users’ Behavioral Intention for Adopting Voice Assistants: Does Technology Self-Efficacy Matter?. International Journal of Innovation and Technology Management, 20(02), 2350004. (Indexed by Web of Science and Scopus; Impact Factor: 1.8)

Ahmed, S., Alqasmi, I., Ashrafi, D. M., Choudhury, M. M., Rahman, M. K., & Mohiuddin, M. (2023). Determining the intention to use app-based medicine service in an emerging economy. International Journal of Healthcare Management, 1-15. (Indexed by Web of Science and Scopus; Impact Factor: 2.1)

Ahmed, S., Hawarna, S., Alqasmi, I., Ashrafi, D. M., & Rahman, M. K. (2023). Mediating role of lean management on the effects of workforce management and value-added time in private hospitals. International Journal of Lean Six Sigma. (Indexed by Web of Science and Scopus; Impact Factor: 5.76)

Ashrafi, D. M., Alam, I., & Anzum, M. (2021). An empirical investigation of consumers’ intention for using ride-sharing applications: Does perceived risk matter?. International Journal of Innovation and Technology Management, 18(08), 2150040. (Indexed by Web of Science and Scopus; Impact Factor: 1.8)

Ahmed, S., Alqasmi, I., Ashrafi, D. M., Choudhury, M. M., Rahman, M. K., & Mohiuddin, M. (2023). Determining the intention to use app-based medicine service in an emerging economy. International Journal of Healthcare Management, 1-15.  (Indexed by Web of Science and Scopus; Impact Factor: 2.1)

Alam, I., Ashrafi, D. M., & Kabir, M. R. (2023). Buy or Die: An Investigation of Consumers’ Intention to Engage in Unusual Purchasing Behavior Through the Lens of Stimulus-Organism-Response Approach. Malaysian Journal of Consumer and Family Economics, 31(1), 324-463. (Indexed by Scopus)

Ahmed, S., Hawarna, S., Alqasmi, I., Mohiuddin, M., Rahman, M. K., & Ashrafi, D. M. (2022). Role of Lean Six Sigma approach for enhancing the patient safety and quality improvement in the hospitals. International Journal of Healthcare Management, 1-11. (Indexed by Web of Science and Scopus; Impact Factor: 2.1)

Ashrafi, D. M., & Easmin, R. (2023). The Role of Innovation Resistance and Technology Readiness in the Adoption of QR Code Payments Among Digital Natives: A Serial Moderated Mediation Model. International Journal of Business Science & Applied Management, 18(1). (Indexed by Scopus)

Ahmed, S., Islam, R., Ashrafi, D. M., Alqasmi, I., Choudhury, M. M., Rahman, M., & Dhar, B. K. (2023). Effects of lean and six sigma initiatives on continuous quality improvement of the accredited hospitals. International Journal of Healthcare Management, 1-13.  (Indexed by Web of Science and Scopus; Impact Factor: 2.1)

Ashrafi, D. M., & Kabir, M. R. (2023). Human or AI? Understanding they key drivers of customers' adoption of financial robo-advisory service: The role of innovation resilience. Journal of Global Business and Technology, 19(1), 19. (Indexed by Scopus)

Hawarna, S., Ahmed, S., Alqasmi, I., Ashrafi, D. M., Rahman, M. K., & Paraman, P. (2023). The Intricate Relationship of Employee Engagement and Lean Approach toward Quality Improvement of the Public Hospitals. Hospital topics, 1-15. (Indexed by Scopus)

Ashrafi, D. M. (2023). Managing Consumers’ Adoption of Artificial Intelligence-Based Financial Robo-Advisory Services: A Moderated Mediation Model. Journal of Indonesian Economy and Business, 38(3), 270-301. (Indexed by Scopus)

Ashrafi, D. M., Al Karim, R., & Barua, A. (2023). Employer branding, job satisfaction, organisational commitment, organizational citizenship behaviour: A moderated-mediation approach. Organizational Psychology, 13(4), 83–101. (Indexed by Scopus)

Ashrafi, D. M., Zannat, N. E., Easmin, R., & Dovash, R. H. (2022). Understanding the drivers of passengers’ intention to engage in digital multi-sided ridesharing platforms: Moderating impact of openness to experience and perceived risk. Malaysian Journal of Consumer and Family Economics, 29(2), 305-351. (Indexed by Scopus)

Ashrafi, D. M., Dovash, R. H., & Kabir, M. R. (2022). Determinants of fintech service continuance behavior: Moderating role of transaction security and trust. Journal of Global Business & Technology, 18(2). (Indexed by Scopus)

Ashrafi, D. M., Habiba, W., & Alam, I. (2020). An assessment of the behavioural intention for using ride-sharing services: Empirical evidence from a developing country. Malaysian Journal of Consumer and Family Economics, 24(1), 36-62. (Indexed by Scopus)

Sarker, M. A. R., & Ashrafi, D. M. (2018). The relationship between internal marketing and employee job satisfaction: A study from retail shops in Bangladesh. Journal of Business and Retail Management Research, 12(3). (Indexed by Scopus)

Ahmed, E., Ahmed, R., Ahmed, S., Choudhury, M. M., Ashrafi, D. M., & Ahmed, R. (2024). Behavioural Intention to Use Voice-Based Artificial Intelligence to Find Hotels and Resorts. In Academy of Management Annual Meeting Proceedings.  

Ashrafi, M. D; Mone, F. H and Sarker, A.R. (2019). An Analysis on work life balance of female doctors in Bangladesh. Presented at International Conference on Business Management arranged by International Islamic University Malaysia, Department of Business Administration, Kulliyyah of Economics and Management Sciences, Malaysia.

Sarker, A. R. and Ashrafi, M. (2018). Engaging Graduates to be Social Entrepreneurs in Bangladesh: Problems and Prospects. Presented at 24th EBES Conference-Bangkok jointly organized by The Faculty of Business Administration, Kasetsart University,

Sarker, A.R. & Ashrafi, M. (2016). Does Internal Marketing Influence Employee’s Job Satisfaction? A Study From Retail Shops In Bangladesh. Emerging Trends in Marketing. Presented at 2nd International Conference on Business Research-2016 organized by East West University, Dhaka, Bangladesh.

This research explores the implementation of the Post-Suggestopedic Method in addressing language learning challenges among young adult learners who have experienced trauma. The study investigates how this innovative educational approach, which builds upon the principles of suggestopedia by incorporating contemporary psychological insights and pedagogical techniques, can effectively support and enhance the second language (L2) acquisition process for this specific learner demographic. Through a combination of qualitative and quantitative methodologies, the research aims to evaluate the effectiveness of the Post-Suggestopedic Method in creating a supportive learning environment that not only facilitates language learning but also addresses the unique needs of trauma-affected individuals, thereby contributing to the field of language education and trauma recovery.

The practice of channeling energies derived from suffering into an act of healing, leading to apositive transformation is not new in the world of literature. Walcott and Brathwaite both havepartaken in this practice. The suffering in Walcott and Brathwaite’s case is caused, largely, dueto owning a diasporic identity. However, along with it, also weighs heavy the history of awounded past. They have channeled this suffering into a creative force by producing works thatsublime the angst that is not simply exclusive to them but flows through the majority of theCaribbean population. Walcott and Brathwaite have justified their suffering of identity crisisthrough helping a nation heal its wounds, and in certain contexts, making it transcend its formerself to a healthier form. However, they have crafted unique styles to achieve that end. The paperattempts to highlight the differences as well as similarities between the methods and perceptionsof these two poets in this regard
(PDF) The Craft of Sublimation: A Comparative Study on the Portrayal of Suffering in. Available from: https://www.researchgate.net/publication/378262986_The_Craft_of_Sublimation_A_Comparative_Study_on_the_Portrayal_of_Suffering_in [accessed Feb 17 2024].

This research explores the implementation of the Post-Suggestopedic Method in addressing language learning challenges among young adult learners who have experienced trauma. The study investigates how this innovative educational approach, which builds upon the principles of suggestopedia by incorporating contemporary psychological insights and pedagogical techniques, can effectively support and enhance the second language (L2) acquisition process for this specific learner demographic. Through a combination of qualitative and quantitative methodologies, the research aims to evaluate the effectiveness of the Post-Suggestopedic Method in creating a supportive learning environment that not only facilitates language learning but also addresses the unique needs of trauma-affected individuals, thereby contributing to the field of language education and trauma recovery.

Fahim, M.M.U., Amin, S, 2024. "An Empirical Investigation of Herd Behaviour in COVID-19 Perspective: Evidence from Dhaka Stock Exchange (DSE)", Global Business and Economics Review, Inderscience Publishers (SCOPUS, Q4); Status: Accepted. 

Khan, M.S. and Fahim, M.M.U., 2021. "The four-factor model and stock returns in Bangladesh." International Journal of Accounting & Finance Review, 6(2), pp.133-149.  https://doi.org/10.46281/ijafr.v6i2.1122.

1. Sattar, M., & Jalal, R. (2024). Impact of Covid-19 on Firm Performance: A Systematic Literature Review Using PRISMA Framework. Journal of Risk Analysis and Crisis Response, 14(4). https://doi.org/10.54560/jracr.v14i4.561 (SCOPUS Indexed)

Artificial Intelligence and Applications.

(2022, October 10).

https://ojs.bonviewpress.com/index.php/AIA/article/view/354

 IEEE SMC 2021, The Papercept

Conference Manuscript Management System

Uddin, M. K., Al Sayed, A., & Khan, S. I. (2024). Unveiling the Drivers of Social Entrepreneurship Intentions: Insights from Business Graduates in Bangladesh. Journal of Social Entrepreneurship, 1–25. https://doi.org/10.1080/19420676.2024.2400914. Taylor and Francis. Scopus. (Q1)

Paul, H.(2024, July 21), Taranath Tantrik: Beyond the Supernatural, The Business Standard, p.10

1. "Convolutional Neural Networks(CNN) for Detecting Fruit Information using Machine Learning Techniques", In: IOSR Journal of Computer Engineering, Volume-22, Issue-02, (Mar-Apr 2020) PP 01-13. Authors: Fouzia Risdin, Pronab Kumar Mondal, Kazi Mahmudul Hassan

2. "Extracting Text Information from Digital Images", In: International Journal of Science & Engineering Research, Volume 10, Issue-06, year-2019.  Authors: Md. Mijanur Rahman, Mahnuma Rahman Rinty, Fouzia Risdin

We introduce a transfer learning technique, correlation alignment, in software defect prediction.

Manually selection of optimal hyper parameter in regression (Lass, Ridge, Elastic net) is time consuming as well as error prone. In this work we introduce "divide and conquer" based approach here to select hyper parameter automatically and efficiently.

Abstract:
Threat and abusive languages spread quickly through social media which can be controlled if we can detect and remove them. Since there exist many social media like Facebook, Twitter, Instagram etc and a huge number of social media users, we need a robust and effective automatic system to identify threat and abusive languages. In our proposed system Machine Learning and Natural Language Processing techniques have been implemented to build an automatic system. Previous research on Bengali abusive language detection used Multinomial Näıve Bayes (MNB), Support Vector Machine(SVM) algorithms and considered Bengali Unicode characters to build their system. We considered both Unicode emoticons and Unicode Bengali characters as valid input in our proposed system. Besides MNB and SVM algorithm, we implemented Convolutional Neural Network (CNN) with Long Short Term Memory(LSTM). Among three algorithms, SVM with linear kernel performed best with 78% accuracy. 

Link: https://ieeexplore.ieee.org/document/8934609

Abstract:

Article information: Objective: The primary intent of this paper is to review related studies that are more corresponding to the detection of five variants of cyberbullying text, such as abusive, hateful, aggressive, bully, and toxic comments or texts of Bengali language as a sample of low-resource language, to gain a comprehensive understanding of the challenges and state-of-the-art approaches used to identify these types of text. Materials: We have searched the associated articles on cyberbullying text detection in the Bengali language published from 2017 to July 2021 since there was no research being detected before the year 2017 on this domain-specific paradigm. After that, we scrutinize the different levels of aspects by inspecting the title, abstract, and entire text to enlist the subsequent research in this review study. Results: After applying different levels of filtering, from the initial search results, 28 domain-centric papers are considered out of 2,745 documents. At first, we deeply analyze the context of each study and then narrate a clear comparative review in case of research challenges and approaches, as well as providing the direction for the future work on the road to the detection of cyberbullying text for the Bengali language. Conclusion: In this paper, we discuss five variants of cyberbullying text, such as abusive text, hateful speech, aggressive text, bully text, and toxic comments over the web, and their detection process by studying existing literature in this domain. We present advice on dataset preparation, pre-process and feature extraction tasks, and classier selection that may aid in comprehensive research for better detection. 

Link: https://ph01.tci-thaijo.org/index.php/ecticit/article/view/248039

Abstract:

This paper manifests the experimentation with sentiment polarity detection over Stanford's IMDB movie review dataset using a Support Vector Machine classifier (SVM). Our prime motivation was to find out the best possible combinations of classic features and preprocessing techniques for the classification of positive and negative opinions. We also explored two variants of kernels with numerous parameter settings for the classifier in the hope of getting the best SVM model. Our best model achieved an accuracy score of 85.45%. The results indicate that a model with a non-linear Radial Basis Function (RBF) kernel leads to the highest accuracy. The features that contributed the most are stemmed word n-grams.

Link: https://ieeexplore.ieee.org/document/9396874