This study focuses on identifying critical success factors (CSFs) and their impact on food safety management system (FSMS). The study aims to examine whether and how specific multi-level CSFs (organisational, market, and governance) influence FSMS. It then empirically investigates the extent FSMS influences firms through financial and operational performance. We adopted a quantitative approach by surveying 324 food firms in China and Vietnam. Web-administered questionnaires collected the data, processed by exploratory factor analysis and structural equation modelling. Our findings offer practical solutions for firms to strengthen management responsibility, develop practices of food safety governance, and collaborate with stakeholders in global supply chains.
Optimising business processes (BP) is the essential task of any business organisation. However, it is not easy for managers to adjust limited organisational resources to achieve a specific business goal with the desired level of efficiency and effectiveness. Multi-method modelling, combined between discrete event and agent-based modelling, is used to illustrate how it helps simulate real situations emphasising limitations in resources to optimise business processes for the fashion e-retailing to satisfy their customers through omnichannel. Customer support centre (CSC) plays a crucial role in serving e-consumers by high volumes of service and support requests, common questions related to products, fulfilment, and returns with fast response to different communication channels (e.g., phone, email, live-chat, social media) (Ilk et al in Decis Support Syst 105:13–23, 2018, [1]). Allocating and assigning service workforces across channels with different skill requirements (e.g., talking over the phone, text-based messaging, social media monitoring) is a complex task to optimise human resources. In this study, multi-method modelling is applied to design and optimise a customer support centre for a fashion omnichannel e-retailing to deal with customer requests. Several scenarios are established to adjust the number of workers as organisational resources and analyse the efficiency and effectiveness based on lost calls and utilisation in fulfilling customers' requests. Multiple scenarios are analysed for normal conditions and promotional events using the software AnyLogic. The results of these scenarios are discussed, compared, and contrasted to identify the model's outcomes in each scenario and to suggest many practical recommendations for managers in designing and optimising business processes. BP can contribute to overall business performance by satisfying and attracting customers while maintaining efficient and effective organisational resources. Also, the role of CSC in fashion omnichannel e-retailing is highlighted in fulfilling customer requests. Finally, through the study, multi-method modelling shows its strengths and limitations in facilitating managers in designing business processes and optimising the company resources to maximise efficiency and effectiveness in the dynamic fashion business environment.
One weak link in food networks can jeopardise human health by breaching food safety management. Needless to say, food manufacturers must develop a plan for improving operations management to provide safer goods. Hence, identifying any inherent constraints in food safety management implementation could result in improved procedures, higher efficiency, and monetary gains for exporting nations in emerging economies. This research applied the theory of constraints to identify constraints that could limit fish and fishery manufacturers' food safety management system (FSMS) performance in global trading. Moreover, physical, behavioural, management policy, supply chain relationships, and standards constraints are recognised. Specifically, the significance of intangible FSMS aspects in searching for improvements to ensure performance and profitability is emphasised so stakeholders can immediately identify and eliminate the constraint(s) to ensure enterprises' FSMS can continue to satisfy changing market demand and legislative regulations.
Demand management concerns what customers need and want, while supply management focuses on producing products/services to fulfill demand. It is challenging in coordinating demand and supply from both sides. Multi-method modeling, which is an interesting combination between system dynamics and agent-based models, is adapted to address this issue through the Bass diffusion model to replicate a non-competitive supply chain, including a retailer, a wholesaler, and a factory in this study. The research findings show that there is a bullwhip effect on the supply chain due to sudden changes in demand impacted by marketing efforts, namely advertising, words of mouth, and electronic words of mouth. It is recommended that in the process of sales and operations planning, businesses should implement, measure, and estimate marketing effectiveness corresponding with supply capabilities. Additionally, through the study, the strengths and weaknesses of the multi-method simulation in facilitating business research reflect through multiple scenarios running with cost and time efficiency, as well as the validity of the study findings associated with modelers’ decisions on the model’s level of simplicity and elaboration.
In recent years, Buy Now - Pay Later forms of payment are becoming popular, however, the core basic principle of “Buy Now Pay Later” in providing credit Interest-free benefits for consumers are being challenged by inflation and rising interest rates. This study was conducted to build a model to study factors affecting the intention to buy now - Pay later for online payment methods of generation Z, including: (1) Perceived benefits, (2) Perceived ease of use, (3) Perceived risks,(4) Digital financial knowledge, (5) Social influence. Using a survey of 306 sample members, the authors concluded that the Social Influence factor has the strongest impact on the intention to use Buy now - Pay later for customers. with the online payment method of generation Z. From there, the authors propose appropriate solutions to help the government, consumers and businesses doing business on e-commerce platforms.
Purpose This study aims to investigate the supplier selection criteria, relationship quality and level of collaboration in Asian food businesses, while also examining the link between these practices and business performance. The research focusses on food manufacturing and exporting companies in two emerging economies, China and Vietnam. Design/methodology/approach Food manufacturing and exporting companies in two emerging economies – China and Vietnam were surveyed and analysed to extract factors that reflect supplier management and business performance along with their relationship by factor analysis and hierarchical regression. Then, a two-step cluster analysis was applied to identify clusters based on supplier management and explore how different business performance groups manage their suppliers. Findings Four clusters that are distinct sets of food firms with detailed references about their typical characteristics revealing their business performance and supplier management practices. Also, the study confirms that certificates, reliability and inspection results constitute the factor of quality-related criteria for food firms. It is an interesting insight into what firms prioritise in selecting and maintaining collaboration and relationships with suppliers that reflect actual demanding specifications for supplier conformity. Research limitations/implications The study reveals the business status of the studied companies and each group's specific references, such as the criteria they prefer to select suppliers, the relationship quality and the level of collaboration. Originality/value The study is a useful reference for both researchers and practitioners to have a comprehensive view of supplier management in the food industry based on the viewpoint of Asian food manufacturers.
Nghiên cứu hướng đến mục tiêu xác định và đo lường các khía cạnh ảnh hưởng đến lòng trung thành của khách hàng mua sắm mỹ phẩm trên sàn Thương Mại Điện Tử (TMĐT), với yếu tố niềm tin đóng vai trò trung gian giữa các mối liên hệ. Nghiên cứu đã xây dựng một bảng câu hỏi khảo sát chính thức dựa trên kết quả thu được từ thảo luận trực tiếp với các chuyên gia trong lĩnh vực TMĐT. Mẫu nghiên cứu 350 người đại diện cho các cá nhân có sự khác nhau đa dạng về giới tính, nhóm tuổi, thu nhập và nhất là đã có kinh nghiệm mua sắm trên sàn TMĐT hiện đang sinh sống ở Thành phố Hồ Chí Minh. Phương pháp phân tích dữ liệu gồm (i) Đánh giá độ tin cậy Cronbach’s Alpha, (ii) Phân tích yếu tố khám phá (EFA), (iii) Phân tích hồi quy bội (RA) để đánh giá mức độ tác động của từng yếu tố đến lòng trung thành mua sắm qua trung gian niềm tin. Kết quả cho thấy năm yếu tố quan trọng tác động bao gồm: sự tin cậy, sự phản hồi, chất lượng thông tin, đa dạng sản phẩm và chất lượng sản phẩm. Kết quả khảo sát cũng chỉ ra trung gian của yếu tố niềm tin đóng một vai trò không kém phần quan trọng tác động đến lòng trung thành khi mua sắm của khách hàng trực tuyến. Các khám phá từ nghiên cứu này cung cấp cơ sở thực tiễn để đề xuất các chiến lược quản trị giúp các doanh nghiệp TMĐT khác tối ưu hóa kế hoạch kinh doanh và duy trì lòng trung thành của khách hàng hiện tại cũng như thu hút khách hàng mới.
