Search results

A fragmented research field exists on the applications of disruptive technologies like blockchain in supply chain management. Thus, the purpose of this study is to present a systematic review of literature reviews, summarising the applications of blockchain in various kinds and facets of the supply chain to date.

The literature search was conducted using Scopus and Web Of Science databases, and reporting was performed using PRISMA guidelines. In total, 43 review papers were identified, and 15 reviews applicable to the study were synthesised.

Blockchain technology is still in its infancy; however, it is gaining high utility in supply chain management. The technology is constantly expanding its application base, and it has enormous potential to cut out intermediaries and improve the efficiency of supply chains. Taking a look at the past and the present, the current study explores unexplored research avenues for the future.

This study provides key insights to academia interested in exploring and advancing the topic.

This study will benefit practitioners and business managers exercising the potential of such a technology in various industrial contexts.

The outcome of this study has the potential to bring many benefits to society at large. These benefits, if fully realised, could positively impact the society.

To the best of the authors’ knowledge, this is the first broad systematic review of reviews analysing the information about blockchain applications and implementation in the supply chain. Based on its constructive overview of the review studies published to date, this study contributes to the supply chain management literature by providing a table of reference for future researchers.

After completion of the case study, students will be able to learn to conduct the 5Cs (Customers, Collaborators, Capabilities, Competitors, Conditions) and Porter’s five forces analysis for understanding the situation of any company; to understand various demand forecasting techniques with the case example of Kaspians Café; to analyse different factors that influence the demand with the case example of Kaspians Café; and to learn how to choose the best time-series forecasting method based on the available dataset.

This case study focuses on operations strategy, specifically analysing the issues encountered by the Kaspians Café, a food joint establishment located within the Kaspians Institute of Management. Kaspians Café, due to its large student clientele, encountered operational inefficiencies such as inadequate inventory management, stockouts and wastage. These issues resulted in financial losses and customer dissatisfaction. This case study focuses on forecasting the demand for different food items at different times to get a better understanding of the stock to be maintained at Kaspians Café. Furthermore, Shyam Manral, the owner of Kaspians Café, was confronted with the difficulties arising from the surging popularity of neighbouring Dhabas and the escalating impact of food delivery platforms such as Zomato and Swiggy. The formerly prosperous Kaspians Café establishment, known for its uniform offers, was now encountering strong competition from the quaint ambience and varied menus of the Dhabas situated in close proximity to the campus entrance. These conventional establishments not only accommodated the changing preferences of students but also functioned as convenient centres for social meetings. The emergence of Zomato and Swiggy had revolutionised the eating patterns of students by providing a wide range of choices that were conveniently delivered to their residences, thereby diminishing the attractiveness of Kaspians Café. Manral was struggling to revive his business in light of these shifting circumstances. He pondered how to keep consumers loyal in the middle of changing cuisine preferences and the convenience provided by contemporary food delivery services.

This case study can be used in the operations management course at the MBA/postgraduate level.

Teaching notes are available for educators only.

CSS 9: Operations and logistics.

This study aims to systematically review various behavioral biases that impact an investor’s decision-making process. The prime objective of this paper is to thematically explore the behavioral bias literature and propose a comprehensive framework that can elucidate a more reasonable explanation of changes in financial markets and investors’ behavior.

Systematic literature review (SLR) methodology is applied to a portfolio of 71 peer-reviewed articles collected from different electronic databases between 2007 and 2021. Content analysis of the extant literature is performed to identify the research themes and existing gaps in the literature.

This research identifies publication trends of the behavioral biases literature and uncovers 24 different biases that impact individual investors’ decision-making. Through thematic analysis, an attribute–consequence–impact framework is proposed that explains different biases leading to individual investors’ irrationality. The study further proposes directions for future research by applying the theory–characteristics–context–methodology framework.

The results of this research will help scholars and practitioners in understanding the existence of various behavioral biases and assist them in identifying potential strategies which can evade the negative effects of these biases. The findings will further help the financial service providers to understand these biases and improve the landscape of financial services.

The essence of the current paper is the application of the SLR method on 24 biases in the area of behavioral finance. To the best of the authors’ knowledge, this study is the first attempt of its kind which provides a methodical and comprehensive compilation of both cognitive and emotional behavioral biases that affect the individual investor’s decision-making.

This study aims to determine the best way to apply material flow cost accounting (MFCA) in an SME environment with the goal of visualizing negative product cost during the manufacturing process and pinpointing places where improvements can be made.

This study uses a case study approach to demonstrate the usefulness of the MFCA tool in an SME in India that produces aluminum energy products used in the electrical power sector through gravity die casting.

According to the results, the company’s gravity die casting has a negative product cost margin of 27.38% as a result of MFCA analysis. It is also determined that the negative material cost is Rs. 22,919, the negative system cost is Rs. 462 and the negative energy cost is Rs. 1,069 for processing 300 kg of raw material. The typical monthly raw material processing for this company is 45,000 kg.

This research shows that MFCA’s implementation will improve the company’s environmental consciousness and bottom line. To the best of the authors’ knowledge, this study is the first to implement MFCA in aluminum gravity die casting of electrical parts manufacturing.

The purpose of this paper is to provide an overview of research and development in the measurement of maintenance performance. It considers the problems of various measuring parameters and comments on the lack of structure in and references for the measurement of maintenance performance. The main focus is to determine how value can be created for organizations by measuring maintenance performance, examining such maintenance strategies as condition‐based maintenance, reliability‐centred maintenance, e‐maintenance, etc. In other words, the objectives are to find frameworks or models that can be used to evaluate different maintenance strategies and determine the value of these frameworks for an organization.

A state‐of‐the‐art literature review has been carried out to answer the following two research questions. First, what approaches and techniques are used for maintenance performance measurement (MPM) and which MPM techniques are optimal for evaluating maintenance strategies? Second, in general, how can MPM create value for organizations and, more specifically, which system of measurement is best for which maintenance strategy?

The body of knowledge on maintenance performance is both quantitatively and qualitatively based. Quantitative approaches include economic and technical ratios, value‐based and balanced scorecards, system audits, composite formulations, and statistical and partial maintenance productivity indices. Qualitative approaches include human factors, amongst other aspects. Qualitatively based approaches are adopted because of the inherent limitations of effectively measuring a complex function such as maintenance through quantitative models. Maintenance decision makers often come to the best conclusion using heuristics, backed up by qualitative assessment, supported by quantitative measures. Both maintenance performance perspectives are included in this overview.

A comprehensive review of maintenance performance metrics is offered, aiming to give, in a condensed form, an extensive introduction to MPM and a presentation of the state of the art in this field.

In recent times, reverse logistics (RL) is gaining significant traction in various automobile industries to recapture returned vehicles’ value. A good RL program can lower manufacturing costs, establish a green supply chain, enhance customer satisfaction and provide a competitive advantage. However, reducing disruptions and increasing operational efficiency in the automobile RL requires implementing innovative technology to improve information flow and security. Thus, this manuscript aims to examine the hurdles in automobile RL activities and how they can be effectively tackled by blockchain technology (BCT). Merging BCT and RL provides the entire automobile industry a chance to generate value for its consumers through effective vehicle return policies, manufacturing cost reduction, maintenance records tracking, administration of vehicle information and a clear payment record of insurance contracts.

This research is presented in three stages to accomplish the task. First, previous literature and experts' opinions are examined to highlight certain factors that are an aggravation to BCT implementation. Next, this study proposed an interval-valued intuitionistic fuzzy set (IVIFS) – decision-making trial and evaluation laboratory (DEMATEL) with Choquet integral framework for computing and analyzing the comparative results of factor interrelationships. Finally, the causal outline diagrams are plotted to determine the influence of factors on one another for BCT implementation in automobile RL.

This study has categorized the barriers to BCT implementation into five major factors – operational and strategical, technical, knowledge and behavioral, financial and infrastructural, and government rules and regulations. The results revealed that disreputable technology, low-bearing capacity of IT systems and operational inefficiency are the most significant factors to be dealt with by automobile industry professionals for finer and enhanced RL processes utilizing BCT. The most noticeable advantage of BCT is its enormous amount of data, permitting automobile RL to develop client experience through real-time data insights.

This study reveals several factors that are hindering the implementation of BCT in RL activities of the automobile industry. The results can assist experts and policymakers improve their existing decision-making systems while making an effort to implement BCT into the automobile industry's RL activities.

Although there are several studies on the benefits of BCT in RL and the adoption of BCT in the automobile industry, individually, none have explicated the use of BCT in automobile RL. This is also the first kind of study that has used IVIFS-DEMATEL with the Choquet integral framework for computing and analyzing the comparative results of factor interrelationships hindering BCT implementation in automobile RL activities.

The purpose of this study is to develop a multi‐criteria hierarchical maintenance performance measurement framework, which is balanced, holistic and integrated to various levels of the organization.

Consolidation of published research and current practices are combined to study, identify and develop this proposed framework.

A framework for maintenance performance measurement is proposed for developing and implementing a relevant, timely, reliable, cost and time‐effective and user‐friendly system for stakeholders at various levels. The indicators at the subsystem/component level, plant level and corporate level are linked with the MPIs for the organizational objectives and strategy.

Management of maintenance performance is critical for long term economic viability of business and industry. Development of an integrated, balanced and holistic MPM system needs to consider various issues to measure the contribution of maintenance towards total business goals. In this paper, a multi‐criteria hierarchical MPM framework has been developed. This framework can be used by the operating managers for their maintenance decisions at various levels of an organization.

The paper presents a proposed MPM framework, which is integrated, and focuses on both internal and external effectiveness.

The purpose of this paper is to analyze the patterns and dynamics of the diffusion of modern food retail in India.

The paper is based on detailed sales data from retail chains in India, short case studies of retail chains, and review of literature.

The article presents three surprises concerning modern food retail diffusion in India. First, modern retail has developed in three “waves”, with the first wave, government retail chains, starting in the 1960s/1970s, cooperative retail chains starting in the 1970s/1980s, and private retail chains in the 1990s/2000s. All three were substantial, and internationally uniquely, all three coexist in the 2000s as segments of modern retail. Second, the rise of modern private retail in India in the past six years has been among the fastest in the world, growing at 49 percent a year on average over that period, and bouncing back to growth after a dip from the recent recession. The great majority of modern private retail has arisen in 2007‐2010. Third, beside the uniqueness of the coexistence of three types of retail noted above, Indian private retail chain development has unique or rare characteristics: driven by domestic capital investment, “early” (in terms of usual international patterns) diversification into small formats, “early” penetration of small cities and even rural towns, of the food markets of the poor and lower‐middle class, and of fresh produce retail. These unique factors have helped to propel it quickly.

For the first time in the literature, the paper presents an analysis of: the three waves in Indian retail; detailed sales data for all leading chains; and its uniqueness.