S.M. Sohel Rana, Sheikh Mohammad Fauzul Azim, Arifur Rahman Khan Arif, Mohammed Sohel Islam Sohel and Farhana Newaz Priya
The tech savvy generation Z consumers constitute a significant market of online shopping. Understanding their shopping behavior is thus a pressing need to expand the e-commerce…
Abstract
Purpose
The tech savvy generation Z consumers constitute a significant market of online shopping. Understanding their shopping behavior is thus a pressing need to expand the e-commerce business. Under this backdrop, the study aims to predict the online shopping behavior of generation Z customers in Bangladesh.
Design/methodology/approach
This study used the theory of consumption values (TCV) along with shopping enjoyment to understand the online shopping behavior of generation Z. A structured set of questionnaire was used to gather the responses on a five point Likert scale. A total of 411 valid responses were considered after discarding incomplete responses. The collected data were analyzed using the partial least squares structural equation modeling (PLS-SEM) approach with the help of smart PLS 4.0 software.
Findings
The statistical findings reveal that functional value is the most significant determinant of online shopping behavior among generation Z followed by social value, conditional value and epistemic value. The study also reveals that relationship between emotional value and online shopping behavior and relationship between conditional value and online shopping behavior is moderated by shopping enjoyment.
Originality/value
The paper contributes to the consumer behavior literature as the findings provide a comprehensive model from values perspectives to understand online shopping behavior among Gen Z customers in a developing country like Bangladesh. The findings of this study offer important insights to the marketers also since it reveals the values consumers consider while shopping online. The findings might help practitioners develop their online strategies to expand the business.
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Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured…
Abstract
Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.
The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.
The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.
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Mohammad Shamsuddoha, Mohammed Quaddus and Desmond Klass
The purpose of this paper is to review the literature and to develop a sustainable model for the poultry industry in an attempt to mitigate existing socio-economic problems…
Abstract
Purpose
The purpose of this paper is to review the literature and to develop a sustainable model for the poultry industry in an attempt to mitigate existing socio-economic problems. Sustainability along with positive socio-economic changes has gained prominence in recent years in academia and business in Bangladesh. This paper aimed at helping the poultry industry is used to develop a sustainable production process to mitigate socio-economical problems. Bangladesh poultry has yet to achieve sustainability in her extended forward and reverse supply chain. The design science method under a quantitative paradigm has been used in this study to develop a sustainable supply chain model for the case industry. A simulation model has been developed using the SIMUL8 software package to model the real poultry case. Finally, key performance indicators (KPIs) will be briefly discussed to illustrate the positive effects of developing a sustainable production process model.
Design/methodology/approach
This study covers a literature review on environmental sustainability, reverse supply chain and Bangladesh poultry industry. This study adopted positivist ontology, empirical epistemology and quantitative methodology based on case studies of poultry industry. The design science methodology and case study method was chosen for this study. Design science is concerned with “devising artefacts to attain goals” (Simon, 1969). Design science is based on “build and evaluate” an artefact of a model (March and Smith, 1995). Here, an artefact means design and develop soft or hard objects that can meet specific purposes and goals (Venable, 2006a, 2006b). Case studies are observed descriptions of particular instance of an occurrence (Yin, 1994). Both primary and secondary information were used in this study.
Findings
The findings of this study were mainly focused on developing a sustainable poultry model along with Islamic consensus. There is plethora research work conducted by the previous researcher. Such study will fill the research gap that also can guide to eliminate socio-economic problems of the society. Model output can easily determine the immediate impact over society, stakeholders and entrepreneurs. Optimality can be observed in the model environment so that real-life experiment does not require which is also expensive and time consuming.
Research limitations/implications
The study only includes a sustainable poultry model with showing overall impact to mitigate the socio-economic problems in Bangladesh. This research can be extended more elaborately than this. Future research could be expanded based on different aspect of supply chain, Islamic finances and socio-economic problems.
Practical implications
Poultry waste management could gain more social, economic and environmental benefit through implementing the model practically within the existing farm.
Social implications
This paper provides a guidelines to create more employments and social benefits through sustainable poultry supply chain. Moreover, proper waste management can make it more worthy for the society.
Originality/value
This paper has maintained originality to mitigate socio-economic challenge in Bangladesh through sustainable poultry supply chain.
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Soliha Sanusi, Rozana Saedon, Aliyu Dahiru Muhammad, Hafizah Omar Zaki and Aziatul Waznah Ghazali
This study aims to examine the determinants of cash waqf contributions among Malaysian millennials through digital platforms.
Abstract
Purpose
This study aims to examine the determinants of cash waqf contributions among Malaysian millennials through digital platforms.
Design/methodology/approach
The present study employed the Technology Acceptance Model with 328 respondents from Malaysia. A self-administrative questionnaire was developed and distributed using both online and physical survey methods. Partial least squares analysis was performed on the data using the Smart PLS 4.0 modeling package.
Findings
The results show that attitude, digital literacy, ease of use and waqf knowledge influenced Malaysian millennials to make cash contributions through digital platforms. However, trust in waqf institutions and waqf usefulness factors did not significantly affect Malaysian millennials’ decision to contribute cash waqf.
Research limitations/implications
The research findings have significant theoretical and practical ramifications for applying the Technology Acceptance Model and attracting millennials to contribute cash waqf.
Originality/value
The study adds new value to the literature. The focus of this study, which targets units of analysis among millennials, has received very little attention in the literature related to cash waqf in digital platforms.
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Kateřina Berková, Katarína Krpálková Krelová, Pavel Krpálek and Andrea Kubišová
The purpose of this study is to predict the extent to which sociodemographic factors and forms of instruction influence university students' emotional experiences of distance…
Abstract
Purpose
The purpose of this study is to predict the extent to which sociodemographic factors and forms of instruction influence university students' emotional experiences of distance education. The need for this research is in designing effective pedagogical methods and educational policies for distance or online education in comparison with studies from international university settings.
Design/methodology/approach
The research was carried out on an empirical basis using the binary logistic regression method. Data were collected through a questionnaire. A total of 569 respondents participated in the research. The effect of gender, level of education and students' preferred form of teaching (face-to-face or online) on their emotional experience of distance education was predicted.
Findings
University students are particularly vulnerable to psychological distress due to the COVID-19 era of distance education. Women are more likely to experience negative feelings about distance education than men. The negative feelings of students are caused by online education. Bachelor's students are more likely to experience negative feelings due to their lack of digital competence.
Originality/value
This study extends existing knowledge in terms of approaches to working with specific groups of bachelor's students in distance education. This area has not yet received such attention in universities. This fact makes this study to be original. The study has practical implications for the field of educational quality assurance for digital pedagogy.
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Oladosu Oyebisi Oladimeji, Abimbola Oladimeji and Olayanju Oladimeji
Diabetes is one of the life-threatening chronic diseases, which is already affecting 422m people globally based on (World Health Organization) WHO report as at 2018. This costs…
Abstract
Purpose
Diabetes is one of the life-threatening chronic diseases, which is already affecting 422m people globally based on (World Health Organization) WHO report as at 2018. This costs individuals, government and groups a whole lot; right from its diagnosis stage to the treatment stage. The reason for this cost, among others, is that it is a long-term treatment disease. This disease is likely to continue to affect more people because of its long asymptotic phase, which makes its early detection not feasible.
Design/methodology/approach
In this study, the authors have presented machine learning models with feature selection, which can detect diabetes disease at its early stage. Also, the models presented are not costly and available to everyone, including those in the remote areas.
Findings
The study result shows that feature selection helps in getting better model, as it prevents overfitting and removes redundant data. Hence, the study result when compared with previous research shows the better result has been achieved, after it was evaluated based on metrics such as F-measure, Precision-Recall curve and Receiver Operating Characteristic Area Under Curve. This discovery has the potential to impact on clinical practice, when health workers aim at diagnosing diabetes disease at its early stage.
Originality/value
This study has not been published anywhere else.