Publications From FBA : Journal Article

Browse

Filters

Settings

Search Results

Now showing 1 - 10 of 180
  • No Thumbnail Available
    Item
    Factors Affecting the Recommendation Intention of Telemedicine App Among Generation Z
    (Australasian College of Health Service Management, 2026-04-21) Nahid, Mehzabul Hoque; Yesmin, Nazmina; Islam, Khandakar Tahurul
    PURPOSE: This study aims to identify the factors influencing the recommendation intention and continued use of telemedicine services, focusing specifically on Generation Z users. DESIGN/METHODOLOGY/APPROACH: A quantitative, positivist approach was adopted, integrating the UTAUT and the DOI model. The study used a cross-sectional survey with a sample size of 580 respondents to objectively measure and analyze the factors influencing telemedicine adoption FINDINGS: The findings indicate that perceived usefulness, perceived trust, openness to change, and actual use are significantly associated with users’ recommendation intention toward telemedicine services, whereas social influence does not show a significant directrelationship with recommendation intention. RESEARCH LIMITATIONS/IMPLICATIONS: The study's reliance on self-reported data may introduce bias, and the cross-sectional design limits causal inferences. Future research should consider longitudinal studies for deeper insights.PRACTICAL IMPLICATIONS: The findings provide actionable insights for healthcare providers to enhance telemedicine services tailored to Generation Z's preferences, ultimately improving patient engagement and satisfaction.ORIGINALITY/VALUE: This study contributes original evidence on telemedicine adoption by showing that recommendation intention among Generation Z users is shaped more by openness to change and post-adoption evaluations than by traditional cost-or trust-based usage drivers. OBJECTIVE: To explore how various factors influence Generation Z's intention to recommend telemedicine services.
  • No Thumbnail Available
    Item
    Exploring the barriers to decarbonizing the transportation system: A pathway to a cleaner future in emerging economies
    (Elsevier, 2025-08-01) Anam, Md Zahidul; Shakur, Md Shihab; Bari, A.B.M. Mainul; Debnath, Binoy; Bristy, Fahmida Tabassum
    The transportation sector is a major contributor to global greenhouse gas (GHG) emissions, particularly due to the emissions released by motor vehicles, shipping, and aviation. Carbon emissions increase significantly as demand for transportation services rises, especially in emerging economies like Bangladesh. Substantial reduction of these emissions by this sector is essential for mitigating climate change. However, decarbonization strategies and initiatives face numerous challenges in emerging economies, where transport infrastructure is still developing and heavily reliant on fossil fuels. This study, therefore, identifies and examines the barriers that emerging economies like Bangladesh encounter when implementing decarbonization strategies. First, based on literature research and expert validation, the study identified sixteen of the most relevant barriers. Then, an integrated approach combining the Bayes theorem and the Best-Worst Method (BWM) was utilized to evaluate and rank these barriers. The results obtained from this study indicate that among the sixteen barriers assessed, the top three are investment risks, high dependence on fossil fuels, and poor purchasing and expenditure power of residents (having a global weight of 0.0972, 0.0863, and 0.0847, respectively). These findings are expected to assist policymakers in emerging economies in developing structured strategies and making more targeted investment decisions that promote decarbonization in the transportation sector. They will also facilitate a smoother transition towards a sustainable transportation system and a cleaner future.
  • Thumbnail Image
    Item
    Role of Habit in Household Waste Recycling Behavior: Evidence from an Emerging Country
    (IIETA, 2024-06-01) Islam, Md Tamzidul; Islam, Md Hasibul; Kamal, Md Asif
    This paper explores the inter-relationship between cognitive and non-cognitive factors that form an individual’s household recycling behavior. Habit, a noncognitive factor, is combined as an additional construct with the Theory of Planned Behavior (TPB). Data was collected from 467 eco-friendly consumers residing in economically emerging country- Bangladesh and analyzed using the partial least square-based structural equation modelling (PLS-SEM). Result showed significant direct impact of individual's habit and perceived behavioral control (PBC) on actual recycling behavior of household waste. When forming recycling intention, individual’s habit was found to be more dominant compared to the attitude, subjective norms and PBC. In addition, it was found that habit is significantly impacted by the PBC. However, the moderating role of habit towards the linkage of recycling intention to actual behavior was found insignificant. The paper provides significant contribution for the practitioners and policy makers to focus on forming individual habits to promote sustainable recycling behavior from an emerging country context.
  • No Thumbnail Available
    Item
    A Fermatean fuzzy approach to analyze the drivers of digital transformation in the agricultural production sector: A pathway to sustainability for emerging economies
    (Elsevier, 2025-07) Anam, Md. Zahidul; Islam, Md. Hasibul; Islam, Md. Tamzidul; Bari, A.B.M. Mainul; Raihan, Asif
    The adoption of digital technologies in agriculture offers opportunities for efficiency and sustainability, particularly in emerging economies with resource and infrastructure constraints. However, challenges persist, exacerbated by crises such as COVID-19 and geopolitical instabilities, highlighting agricultural supply chains’ fragility. Industry 5.0-driven digital transformation (DT) can mitigate these challenges by enhancing food security, supply chain resilience, and environmental sustainability. This study identifies and analyzes key drivers of DT in agricultural production from a holistic perspective. Through a literature review and expert validation, 19 key drivers were identified in the context of Bangladesh. An integrated multi-criteria decision-making (MCDM) approach, combining the Fermatean fuzzy sets (FFS) with the decision-making trial and evaluation laboratory (DEMATEL) technique, was applied to examine the drivers and explore interrelations among them. The results indicate that the most influential drivers are ’commitment from regulatory bodies’, ’maximizing the use of dwindling resources’, ’fostering rural development’, and ’the need for safe food’, with prominence values of 4.175, 4.001, 3.999, and 3.888, respectively. Additionally, ’commitment from regulatory bodies’ emerges as the most impactful causal factor, having a causal weight of 1.848. These findings provide insights for policymakers and industry managers in emerging economies, supporting strategic decision-making to drive sustainable agricultural transformation and achieve the relevant sustainable development goals.
  • No Thumbnail Available
    Item
    Exploring the barriers to decarbonizing the transportation system: A pathway to a cleaner future in emerging economies
    (Elsevier, 2025-08) Anam, Md. Zahidul
    The transportation sector is a major contributor to global greenhouse gas (GHG) emissions, particularly due to the emissions released by motor vehicles, shipping, and aviation. Carbon emissions increase significantly as demand for transportation services rises, especially in emerging economies like Bangladesh. Substantial reduction of these emissions by this sector is essential for mitigating climate change. However, decarbonization strategies and initiatives face numerous challenges in emerging economies, where transport infrastructure is still developing and heavily reliant on fossil fuels. This study, therefore, identifies and examines the barriers that emerging economies like Bangladesh encounter when implementing decarbonization strategies. First, based on literature research and expert validation, the study identified sixteen of the most relevant barriers. Then, an integrated approach combining the Bayes theorem and the Best-Worst Method (BWM) was utilized to evaluate and rank these barriers. The results obtained from this study indicate that among the sixteen barriers assessed, the top three are investment risks, high dependence on fossil fuels, and poor purchasing and expenditure power of residents (having a global weight of 0.0972, 0.0863, and 0.0847, respectively). These findings are expected to assist policymakers in emerging economies in developing structured strategies and making more targeted investment decisions that promote decarbonization in the transportation sector. They will also facilitate a smoother transition towards a sustainable transportation system and a cleaner future.
  • No Thumbnail Available
    Item
    Exploring the Determinants of Intention to Recommend GPT tools among HR Professionals
    (2024) Nabhan Khan, Jaad Al; Hoque Nahid, Mahzabul; Nahar, Rezbin; Absar Rabbanee, Golam Mustafa Md. Nurul
    This paper aims to examine the attitude towards adoption and intention to suggest web-based GPT tools among HR professionals in a nation that is still in the nascent stage of technology adoption. The study integrates the Task-Technology Fit (TTF), TAM (Technology Acceptance Model), and TRI (Technology Readiness Index) models to develop a comprehensive understanding of which antecedents contribute to explain users’ attitudes towards adopting GPT tools and their subsequent intention to recommend these technologies. To gather survey data of 307 HR professionals from 23 different organizations, a structured questionnaire was utilized. The respondents must have experience using GPT technologies. The survey questionnaire consisted of 32 items, and the collected data was analyzed using structural equation modeling (SEM) using Smart-PLS 4. The findings of the structural path analysis revealed that perceived usefulness, perceived ease of use, and technology readiness significantly influence HR professionals’ attitudes towards embracing GPT in their workplace. The study also found a significant positive relationship between attitude and intention to recommend. However, task characteristics did not significantly influence perceived usefulness, satisfaction, and continuous intention to use the technology have not been found to have a significant impact on attitude. This study has developed a new paradigm by combining these technology adoption models. As an early empirical study, this research contributes significantly to the existing research on the impact of disruptive technology on HRM and HR professionals. The findings provide valuable insights for the adoption of ChatGPT in different scenarios among HR professionals.
  • No Thumbnail Available
    Item
  • No Thumbnail Available
    Item
    Post-Pandemic Talent Management Models in Knowledge Organizations
    (IGI Global, 2022-05) Islam Talukder, Mohammad Rafiqul; Mamun, Abdullahil; Lamagna, Carmen Z.; Islam, Md. Aminul; Nafi, Redwan; Hassan, Tasheen
    In today's modern business world, the dominant factor of any organization's success is human capital. Appropriately acquiring and managing talented staff is crucial to the growth and development of companies and provides them with a considerable competitive advantage in the industry. Further study on the importance of talent management is required to ensure future organizational sustainability. Post-Pandemic Talent Management Models in Knowledge Organizations discusses strategic human resource management and the talent management of post-modern knowledge-based organizations during the COVID-19 pandemic and post-pandemic paradigm. Covering critical topics such as organizational performance and creative work behavior, this major reference work is ideal for managers, business owners, human resource professionals, researchers, scholars, academicians, and students.
  • No Thumbnail Available
    Item
    Title Towards the Effectiveness of Training Program: A Logistic Approach
    (Institute of Interdisciplinary Business Research, 2010-02) Ziaul Haq, Mohammad; Tanvir Mahmud, Kazi; Nahar, Rezbin
    Telecommunication sector has immense potential in the economy of Bangladesh. Mobile phone users have been increasing. Due to lack of skilled manpower, operators fail to provide quality services among the users which can be an obstacle for the growth of mobile sector. Therefore, training programs were conducted for the employees in order to improve their skill in improving customer service activities. The training program mainly focuses on the female employees as they are in backward position as compared to the male. This study aims to assess the employees’ perceptions whether their ability to provide customer services increased after participating in the training program. About four hundred female employees were taken as sample for this study using simple random technique. Logit model was used to examine the influence of socioeconomic variables on the dichotomous dependent variable. The study results indicate that training program had a positive impact on the performance of the female employees.
  • No Thumbnail Available
    Item
    Measurement of Relative Significance of Attitude of Occupational Fulfillment Factors and Satisfaction Differences between Private and Public Hospital Nurses in Bangladesh
    (The International Business & Management, 2014-09) Ullah, Kazi Tareq; Nahar, Rezbin; Azam, S.M. Ferdous
    Occupational fulfillment of healthcare professionals (nurses) in a developing country is especially important in terms of healthcare institutions (hospitals and clinics) service delivery. However, not enough recognition has been given to this noble profession yet. As a result, institutions did not focus enough on the fulfillment factors of the nurses. Ignorance about the importance of occupational fulfillment of nurses is prevalent in private healthcare institutions which ultimately is lagging behind poor healthcare services. Therefore, this study attempts to appraise relative occupational fulfillment factors of nursing professionals in Bangladesh, which is an emerging developing nation of Southeast Asia. It also focuses to identify the differences between the occupational fulfillment factors of nurses working in private and public healthcare institutions to convergent the variables. Result reveals significant impact of fulfillment variables on the performance. It also shows that the occupational fulfillment of private institution employees compare to the public institution nurses whose salary and other benefits are lower than these.