International Journal of Business Ecosystem & Strategy

Prior studies in Bangladesh examined how several non-demographic factors influenced consumers' online buying behavior. However, no specific research has been conducted to examine an association between consumers' demographic factors and the online shopping behavior of Bangladeshi buyers. Therefore, this study aimed to examine the association between online shopping behavior and the demographic characteristics of Bangladeshi buyers. The association between six consumers' demographic variables, such as age, gender, income, education, occupation, and marital status, and online shopping behavior, proxied by the frequency of online shopping, was examined. Primary data through a structured questionnaire was collected from the 547 respondents in urban and rural areas of seven divisions in Bangladesh through offline and online surveys. The chi-square test was used to examine the association between consumers' demographic characteristics and online shopping behavior. The study found that male and married consumers with a higher level of education and higher-category jobs have a higher propensity to shop online. However, consumers' age and income level do not significantly impact their online shopping behavior. The study's outcomes are expected to provide online retailers and merchants with critical information about buyer behavior. Keywords: Association, online shopping behavior, demographic characteristics, chi-square test, Cramér’s V, e-commerce. JEL Classification: M31, M39, and L81

The utilization of powerful machine learning models in artificial intelligence offers novel prospects for the identification of fraudulent activities. Artificial Intelligence (AI) is a revolutionary technological tool that enhances the ability to detect and prevent fraud by improving efficiency and effectiveness. This research offers a thorough examination of the utilization of artificial intelligence technology in the realm of procurement fraud prevention and detection. Additionally, it highlights the obstacles that arise when employing machine learning techniques for the purpose of identifying and preventing fraudulent activities. A mixed methods approach was employed in this study, wherein data was collected through an unstructured interview and questionnaire. We conducted a comprehensive review of relevant scholarly articles and online resources. The findings indicate that fraudsters are progressively advancing in their skills, which poses a significant challenge in detecting fraudulent activities. The advent of AI in fraud detection has demonstrated its transformative impact. AI has achieved unparalleled precision and velocity in crime detection and prevention, surpassing the capabilities of any human. Artificial intelligence (AI) enhances the capacity for automation. Accessing unstructured data in the form of spreadsheets, digital documents, and email inboxes poses a significant issue for the procurement function. In order to achieve a successful procurement transformation, businesses should prioritize the creation of essential tools, guarantee acceptance through the establishment of a superior user experience, and integrate both novel and pre-existing technology. It is imperative to disseminate knowledge to the general public regarding the escalating sophistication of artificial intelligence (AI) in the realm of fraud detection and prevention. This includes elucidating the potential benefits of AI in identifying patterns of suspicious activities, assessing its efficacy in predicting potential threats or fraudulent activities prior to their manifestation, and exploring its utility in analyzing historical data pertaining to both familiar and unfamiliar forms of fraudulent behavior.

The study aims to determine the effect of educational attainment, length of work experience on self-efficacy and also to determine the difference of self-efficacy of employees based on the educational attainment and the length of work experience. To support the theories of the study, literature was reviewed. The study used a descriptive correlational research design and the questionnaires were used to gather the data. The population of the study was all employees of the Divine Word College of Laoag, Ilocos Norte, Philippines. The Multilinear regression analysis was used to determine the correlation and the analysis of variance (ANOVA) was used to determine the difference of self-efficacy among employees based on educational attainment and the length of work experience. The study found that the self-efficacy of employees was high and there is a correlation between educational attainment and self-efficacy and the length of work experience and self-efficacy. It is also found that there is a significant difference in self-efficacy among employees based on educational attainment and the length of work experience. Thus, based on the findings, then the hypotheses of the study are accepted.

This study aims to examine and analyze the effect of environmental awareness and knowledge on green behavior mediated by employee wellbeing. The research was conducted at the Batik Warna SMEs in the Kebon Indah Community located in Klaten, Central Java, with 118 respondents. Data analysis used the quantitative method of Structural Equation Modeling (SEM) SMART – Partial Least Square (PLS) Software. The results showed that: (i) There is a positive and significant influence between environmental awareness and employee well-being, (ii) There is a positive and significant influence between environmental knowledge and employee well-being, (iii) There is a positive and significant effect between employee wellbeing and employee green behavior, (iv) There is a positive and significant effect between environmental awareness on employee green behavior mediated by employee wellbeing, (v) There is a positive and significant effect on environmental knowledge on employee green behavior mediated by employee wellbeing at Batik Warna Alam SMEs in the Kebon Indah Community, located in Klaten, Central Java.

The business transition process from conventional to digital forms causes companies to think about strategic steps to make the new business processes that are in it become sustainable. One way is to take advantage of technological developments in the era of industry 4.0 that change the way work is done from the conventional way towards digital technology by utilizing e-commerce. This research uses descriptive research method with a qualitative analysis approach. Data collection techniques in this study used primary data and secondary data approaches. Data obtained from research are empirical data. The methodology used in this study is a conceptual review, which is a method carried out by collecting data and information related to market potential, changes in consumer behavior and how to use e-commerce technology as an alternative solution in innovating marketing strategies with the aim to capture potential market potential. greater than. The results of the research resulted nine e-commerce strategies in the industry 4.0 era to achieve the goals of a business with challenges and high competitiveness in the e-commerce market, business people in industry 4.0 era can use 9 strategies to successful in this technological era, including; framing the market opportunity; formulating the marketing strategy; designing the customer experience; crafting the customer interface; designing the marketing program; leveraging customer information through technology; character and competent delegation; systemized market customers; and evaluating the marketing program.

Road’s infrastructure is regarded as an essential factor to achieve development goals. It is recorded that most people living in the rural areas are constrained by poor road infrastructure, thereby causing poverty, hunger, and food insecurity. This situation calls for more investments in road infrastructure to promote agricultural activities. Using systematic review method, this study reviewed literature pertaining to road infrastructure in South Africa, the review focused on the importance, benefits, and present state of road infrastructure and the socio-economic effects of poor road infrastructure. The study revealed that Most South African roads are in bad shape, especially roads in the rural areas. due to lack of qualified personnel to manage road infrastructure, government regulations and policies and financial challenges. The implications of this study's findings are substantial for future research. Firstly, in order to ensure the timely delivery of infrastructure construction projects, the study's findings are expected to provide guidance to decision-makers and stakeholders in South Africa and other nations on how to proactively implement measures to provide and maintain sustainable, good road infrastructure.

The main aim was to determine how the supply chains of the FMCG industry may enhance their resilience through the adoption of digital technologies. Additionally, enhancing visibility and transparency through the augmentation of operational efficiency to elevate overall performance. This analysis utilised the Uncertainty Framework theory, which provides a systematic approach for identifying, categorising, and managing uncertainties within the supply chain. Organisations can formulate strategies to effectively manage and mitigate risks by understanding the many dimensions of uncertainty within the supply chain and their interrelations. The research utilised a qualitative methodology, gathering data via semi-structured interviews with 25 supply chain specialists and senior executives possessing extensive experience in the FMCG sector. The study's findings indicate that digital transformation enhances agility, transparency, and data-driven decision-making, which is crucial for bolstering the resilience of the FMCG supply chain. Six themes emerged from the findings: data-driven decision-making, supply chain visibility and transparency, automation and robots, collaborative platforms and ecosystems, predictive analytics and forecasting, and traceability and sustainability. The research will enhance our understanding of the implementation of digital transformation initiatives throughout FMCG supply chains. This involves analysing the application of digital technologies in supply chain operations. The study may ascertain the impact of these technologies on various resilience criteria, including flexibility, agility, visibility, and responsiveness, by analysing the role of digital transformation in FMCG supply chains. The research findings can assist supply chain managers in making educated decisions on investments and strategic planning for digital transformation initiatives.Research on digital transformation in the FMCG sector is limited, particularly on these unprecedented upheavals. Moreover, there is little study connecting digital transformation with sustainability and resilience in FMCG supply chains, which is essential for comprehending how these projects might collaboratively enhance robust supply systems.

The amalgamation of traditional and modern governance systems represents a transformative advancement in contemporary African government. This study examines the concept of "hybridity governance" within the African context, providing a comprehensive theoretical framework that integrates modern institutional procedures with traditional governance systems. The paper examines the evolution of African governance from pre-colonial to post-colonial eras, illustrating the emergence of hybrid governance as a response to internal dynamics and external influences. It accomplishes this by utilising historical studies. The philosophical underpinnings are investigated, highlighting organisational and social concepts that elucidate the acceptance of hybrid models. The paper elucidates the applications, accomplishments, and challenges of hybrid government in several African nations through various empirical case studies. A critical examination examines the consequences of these governance paradigms for public administration in Africa. It underscores opportunities for innovation and enhanced flexibility, while also emphasising intrinsic challenges such as job ambiguity and conflict. The report concludes with forecasts regarding the future trajectory of hybrid governance in Africa, considering the interplay of local socio-political dynamics, global interconnectedness, and technological advancements. This article serves as a vital resource for policymakers, researchers, and stakeholders interested in the evolving governance paradigm in Africa, providing valuable applications and recommendations.  

This paper examines the shift from Industry 4.0 to Industry 5.0 in relation to sustainable supply chain management (SCM), highlighting the incorporation of human-centric technologies. As industries progress, there is an increasing necessity to integrate technologies that enhance human-machine collaboration, optimise operational efficiency, and foster sustainability. This work aims to do a systematic review of the evolutionary process, emphasising the transformation of supply chain management by these technologies. A systematic review technique, adhering to the PRISMA framework, was utilised to collect and assess pertinent material published between 2010 to 2024. The review encompassed an exhaustive database search, stringent eligibility screening, and thematic analysis via Atlas-ti software to discern main themes and patterns concerning the incorporation of human-centric technology in supply chain management. The results indicate that the change to Industry 5.0 entails a substantial movement towards human-automation collaboration, with AI and machine learning as essential components. Digital transformation is redefining supply chain management by utilising big data, the Internet of Things, and blockchain technology to enhance transparency, traceability, and decision-making. Bionic supply chains, integrating human intelligence with machine efficiency, are developing as a vital foundation for operational resilience and sustainability. The study suggests that the incorporation of human-centric technology in supply chain management enhances efficiency and sustainability while fostering a more resilient supply network adept at reacting to interruptions. This paper offers essential recommendations for academics and practitioners seeking to enhance supply chain operations in the context of Industry 5.0.

Competitive intelligence strategies are employed by higher education institutions to assist with student recruitment. These competitive intelligence (CI) strategies help maintain or increase market share in education. Utilising competitive intelligence is crucial for firms in competitive markets, assisting in strategic planning and execution. Higher education organisations can benefit from CI to make informed decisions and develop strategic goals. The competition between selected public universities that reside in the same town has resulted in devising competitive strategies to attract grade 12 students with effective and innovative student recruitment strategies. The study sought to examine how competitive intelligence is used as a strategy to promote student recruitment at selected public universities. The study adopted a quantitative research approach where 234 first-time entering university students were used as key informants. To collect data, a questionnaire was used and is attached. It was discovered that both institutions utilised similar strategies to recruit students. Results reveal that the selected public universities employ traditional and technology-based strategies for student recruitment, relying on past success rather than a standardised approach based on competitive intelligence. Further research is needed to evaluate the effectiveness of competitive intelligence strategies in student recruitment, aiming to promote diverse communication needs among current and potential students.