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Forecasting.

The case is intended for Postgraduate level management students.

The purpose of this case study is to explain various forecasting techniques, their applicability and the importance of forecasting to the students. This case also explains the management situations where the application of one technique may not be sufficient, thereby explaining the importance of simultaneous usage of qualitative and quantitative techniques for making crucial decisions. The case is focused on the district of Etah of the state of Uttar Pradesh in India. The real-life situation of elections in this district of an Indian state has been taken to explain the critical nature of forecasting accuracy in a management situation where the manager has only one chance to execute his project. Discussion in this case is limited to explaining various techniques available for forecasting and their applications and does not provide a solution to a management problem.

The students are expected to understand various forecasting methods and the managerial situations where these can be applied. The case also explains situations where it becomes extremely important to have fairly accurate estimates of future requirements and the application of one technique may not be sufficient, thereby explaining the importance of simultaneous usage of qualitative and quantitative techniques for making crucial decisions.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 9: Operations and Logistics.

Subject area information and communication technology (ICT) for development.

Master of Business Administration Program’s Management Information Systems courses. Or introductory courses in Masters in ICT for Development.

The paper aims to highlight the endeavour of public distribution system (PDS), a food security scheme for under-privileged people in India, towards excellence, using ICT in the state of Chhattisgarh. It presents two important roles of ICT: one, as a system improvement tool, through supply chain integration (in Phase 1) and, the other, as tool for empowerment, by providing choices through computerized online real-time electronic (CORE) PDS (in Phase 2). CORE PDS was intended to provide choices of retail outlets to poor beneficiaries for collecting their food entitlement, breaking the retail outlet’s monopoly. The project was successfully implemented in some urban areas of Chhattisgarh, providing motivation for its mass scale roll-out. But, the contextual differences between rural and urban settings were raising questions on the ultimate value expected to be delivered by the project in rural areas.

Two major learning outcomes of the case: students will appreciate the multi-faceted role of ICT in improving the performance of a system meant for a financially poor section of the society; students will understand the role of contextual settings in a developing economy in the endeavour of ICT projects for societal development.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 10: Public Sector Management.

The study aims to map the links between Industry 4.0 (I-4.0) technologies and circular economy (CE) for sustainable operations and their role to achieving the selected number of sustainable development goals (SDGs).

The study adopts a systematic literature review method to identify 76 primary studies that were published between January 2010 and December 2020. The authors synthesized the existing literature using Scopus database to investigate I-4.0 technologies and CE to select SDGs.

The findings of the study bridge the gap in the literature at the intersection between I-4.0 and sustainable operations in line with the regenerate, share, optimize, loop, virtualize and exchange (ReSOLVE) framework leading to CE practices. Further, the study also depicts the CE practices leading to the select SDGs (“SDG 6: Clean Water and Sanitation,” “SDG 7: Affordable and Clean Energy,” “SDG 9: Industry, Innovation and Infrastructure,” “SDG 12: Responsible Consumption and Production” and “SDG 13: Climate Action”). The study proposes a conceptual framework based on the linkages above, which can help organizations to realign their management practices, thereby achieving specific SDGs.

The originality of the study is substantiated by a unique I-4.0-sustainable operations-CE-SDGs (ISOCES) framework that integrates I-4.0 and CE for sustainable development. The framework is unique, as it is based on an in-depth and systematic review of the literature that maps the links between I-4.0, CE and sustainability.

This paper aims to create a new decision-making procedure that uses “Lot-by-Lot Acceptance Sampling Plan by Attributes” methodology in the production processes when any production interruption is observed in tobacco industry, which is a significant example of batch production.

Based on the fish bone diagram, the reasons of the production interruptions are categorized, then Lot-by-Lot Acceptance Sampling Plan by Attributes is studied to overcome the reasons of the production interruptions. Furthermore, managerial aspects of decision making are not ignored and hence, acceptance sampling models are determined by an Analytical Hierarchy Process (AHP) among the alternative acceptance sampling models.

A three-phased acceptance sampling model is generated for determination of the reasons of production interruptions. Hence, the necessary actions are provided according to the results of the proposed acceptance sampling model. Initially, 729 alternative acceptance sampling models are found and 38 of them are chosen by relaxation. Then, five acceptance sampling models are determined by AHP.

The current experience dependent decision mechanism is suggested to be replaced by the proposed acceptance sampling model which is based on both statistical and managerial decision-making procedure.

Acceptance sampling plans are considered as a decision-making procedure for various cases in production processes. However, to the best of our knowledge Lot-by-Lot Acceptance Sampling Plan by Attributes has not been considered as a decision-making procedure for batch production when any production interruption is investigated.

This paper aims to develop supply chain strategies for the fashion retail supply chain (FRSC), likely to be disrupted by the current pandemic (COVID-19) under physical and online retail stores. The resilient retail supply chain design is proposed under budget allocation and merchandise capacity constraints.

This paper utilises the theory of constraint (ToC) and goal programming (GP) to address the COVID-19 impact on FRSC. The budgetary and capacity constraints are formulated with a constraint optimisation model and tested with six different priorities to deal with the physical and online stores. Next, all priorities are developed under different FRSC business scenarios. The ToC-GP-based optimisation model is validated with one of the Indian fashion retail supply chains.

The proposed optimisation model presents the optimal retailing strategies for selling fashion goods over physical and online platforms. The multiple scenarios are presented for developing trade-offs among different strategies to maximise the retailer's merchandise performance. This paper also highlighted the strategic movement from high merchandise density stores to low merchandise density stores. This implies a reduction of sales targets and aspiration levels of both online and physical fashion stores.

The proposed model is validated with one of the fashion retailers in India. Other nations or multiple fashion retailers might be considered for more generalisation of findings in the future.

This research helps fashion retail supply chain managers deal with consumer demand uncertainty over physical and online stores in pandemic times. Limitation: Other nations or multiple fashion retailers might be considered for more generalisation of findings in the future.

This is the first study that considered the impact of COVID-19 on the retail fashion supply chain. The effect of physical and online platforms is mainly discussed from consumer marketing perspectives, but an inventory and resilience perspective is missing in earlier studies. The role of merchandise planning is highlighted in this study.

The present study discusses the benefits and importance of sociotechnical thinking for the integration of industry 4.0 (I4.0), and their subsequent usefulness in analyzing the value-added activities and related quality issues, and their implications in the quality 4.0 (Q4.0), product-service systems (PSS) in the organization level/complex systems in the era of I4.0. I4.0 pushed the traditional manufacturing models toward product-service systems; for this transition, social and economic factors influence more, and technological advancements are going more rapidly than the social developments needed for the transition. The integration of social-technical system perspective with I4.0 technologies adoption would improve the value cocreation of PSS. The balance among the sociotechnical systems theory (STST) and I4.0 technologies are necessary for production and logistics organizations. This can be attained by sociotechnical systems thinking because it gives a comprehensive overview for integrating I4.0 and related quality issues in the production and logistics service systems.

The purpose of this paper is twofold: first, to present a bibliometric analysis and systematic literature review of industry convergence and value innovation to understand the current research status; second, to provide a coherent theoretical research framework for future research.

This study adopts a two-step analysis approach by combining bibliometric analysis and systematic literature review to explore the research topic of industry convergence and value innovation. Besides, two bibliometric tools, HistCite and VOSviewer, were applied to this study.

This study found that Stefanie Bröring and Fredrik Hacklin are the top two most influential authors among all authors in the sample publications. Technological Forecasting and Social Change is one of the top-ranking journal that often publishes this topic of articles. Germany and the University of Munster are the most influential country and institutions, respectively. Besides, five core research themes were identified based on keywords co-occurrence map, theoretical lenses, factors promoting industry convergence, indicators of industry convergence, the impact of industry convergence and emerging research directions. Based on the above analysis, this paper constructed a theoretical research framework of industry convergence and value innovation.

This paper only draw data from one database – Web of Science – which cannot provide broad coverage of the research topic. Besides, the bibliometric method of this paper is based on high local citation score and high-frequency words, articles in the skirting subjects’ area may not be analyzed.

With the rapid development of technology, such as nanotechnology, radio - frequency identification (RFID), etc., the iterative upgrading of products also comes. As a result, the boundary between industries is gradually blurred, and the phenomenon of industry convergence appears. Therefore, managerial decision-makers are facing challenges of how to respond to the convergence phenomena. From the firm level, firms are facing the problem of value innovation of the existing product, new product development and core competence improvement. Industries are facing the problem of transformation and upgrading. This paper provides certain theoretical insights for both firms and industries to guide the practice accordingly.

This paper is the first to use a bibliometric method to examine the topic of industry convergence and value innovation. In addition, this paper presents an in-depth analysis of this topic and provides a comprehensive theoretical research framework for future study.

This study aims to identify the propensity for clients (legal and natural persons) to adopt peer-to-peer (P2P) short-term insurance policies as opposed to traditional and/or centralized short-term.

In this paper data was collected through a survey of 102 sampled short-term insurance clients using convenience sampling. The TAM2 questionnaire was adapted to evaluate the intention to adopt a P2P insurance policy.

The findings of this study shed light on the factors influencing the adoption and (dis)continuation of short-term insurance products, both traditional and digital, among South African consumers. The results demonstrate that perceived usefulness, ease of use, trust, risk perception and subjective norm play crucial roles in individuals' intention to use or (dis)continue the use of these insurance products.

The study's findings provide actionable insights for practitioners in the short-term insurance sector, with a focus on marketers and e-commerce professionals. These insights emphasize the need to prioritize user-friendly design and trust-building measures in the development of P2P insurance systems. Additionally, practitioners should consider harnessing the power of social influence and carefully balancing innovative features with familiarity in their marketing efforts. These strategies are poised to enhance the adoption and competitive positioning of P2P insurance solutions amidst the evolving landscape of digital transformation.

This study makes a substantial contribution by employing the technology acceptance model (TAM) in a novel and unconventional manner. It not only explicates the intricate dynamics governing the adoption and discontinuation of short-term insurance products, encompassing both conventional and digital alternatives, within the South African consumer milieu but also extends its purview to infer the reasons behind the limited widespread adoption of the digital counterpart, despite its superior value proposition compared to the traditional offering. The findings elucidate the critical determinants shaping individuals' decisions in this dynamic market segment. This research enhances the global discourse on insurance adoption with a unique South African perspective and furnishes insurers and marketers with empirically grounded insights to optimize their strategies and cultivate substantive connections with their target demographic.

This paper aims to enhance the responsiveness of enterprises with regard to delivery schedules in a supply chain. Based on the observations in industry, it seems that companies often re‐negotiate their due‐dates. These phenomena have begun to appear only recently, as a result of the advancements of information technology and flexibility in the supply chain. However, these due‐date re‐negotiation processes are haphazard and ad hoc in nature, and a formal process is needed to respond to market fluctuations more quickly. In this paper, a re‐negotiable order processing method is developed that can change the already‐assigned due‐dates or allow partial shipments to increase the flexibility of firm response to a rush order from a prior customer (PC).

A due‐date re‐negotiation process is defined and a formal system for handling customer orders is proposed. The new data and business process integration model are proposed for the due‐date re‐negotiation process based on RosettaNet's Partner Interface Processes. Web services and ubiquitous computing technologies are used in the proposed system architecture to allow for responsive sales order management.

The paper shows that assigned due‐dates can also be re‐negotiated by enhancing the connectivity and visibility of the supply chain with co‐operative customers. In the early stage of the product life cycle or high‐regional demand variation environments, it is better to re‐negotiate due‐dates than to meet scheduled due‐dates.

In some instances, meeting the due‐date requested by a customer relates to the success or failure of a particular sales order. The proposed re‐negotiation method could help the sales offices of the MF to respond to PC requests quickly and flexibly. Rush orders from PC might be acceptable based on the slack gained through the re‐negotiation of co‐operative customers' assigned orders.

There has been a considerable volume of studies on the due‐date assignment, order releasing, and scheduling problems. However, these previous studies considered due‐dates as exogenous parameters or fixed endogenous variables. In this paper, the assigned due‐dates for pre‐contracted co‐operative customers are considered as re‐negotiable variables. On the other hand, most studies on ubiquitous computing technologies, especially those relate to radio frequency identification (RFID), have focused mostly on asset management and processing time reduction. This paper suggests other benefits of increased visibility and traceability of RFID technology in enhancing responsiveness and flexibility in the sales order management system.