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The purpose of this study is to recognize critical barriers for Lean manufacturing practices implementation in small and medium enterprises (SMEs) focusing in the context of a developing economy. The advancement of SMEs is of utmost important for a surge in exports while competing with other countries and these barriers have to be given due importance as they play a major role in stalling the overall development of SMEs.

In this present investigation, 26 barriers to Lean implementation in SMEs have been identified after an extensive study of the literature available on the subject. After that, the influential barriers were investigated through the Analytical hierarchy process-Technique of order preference by similarity to ideal solution (AHP-TOPSIS) method using priority weightage given to them by different experts in their industries. The ranking given to the barriers is based on the AHP-TOPSIS method and has been validated by the sensitivity analysis.

The investigation reveals that for the successful implementation of Lean manufacturing practices, the will of the management, individual will power and contribution of the people matter a lot apart from other barriers such as flexibility, expertise of the people, resources and resistance offered by the people to new programs. The solutions for overcoming these barriers are also provided in this study and a model has been suggested for the same.

This work was devoted to the evaluation of obstacles in the introduction of Lean practices and prioritizing them. But it was limited to the medium- and small-scale organizations located in Northern India. Further studies can expand the scope to the large-scale units in the field. Moreover, the scope of this study was confined to the manufacturing sector. Future studies can extend it to the non-manufacturing environments such as the service sector, health care, etc. This investigation was based on the judgments of industry experts and academicians. Another approach such as Viekriterijumsko kompromisno rangiranje can be used for future investigations.

This study is significant when keeping in mind the contribution of SMEs to a country’s economy, especially in the Indian context.

The purpose of this paper is to investigate the impingement of lean manufacturing practices (LMPs) in small and medium enterprises (SMEs) of Northern India and their relationship with firm performance. This paper makes an attempt to identify the lean practices, which are more beneficial and their impact on firm performance.

In this study, a qualitative survey of 183 Northern India SMEs is collected and analysed using correlation, regression, canonical analysis and ANOVA test are conducted for developing relationships between them.

The outcome of this study indicates that the embracement of lean is necessary for their survival in this competitive spirit. Lean practices helped the SMEs to cope up with the persistent stress given by the spirited market. From the data investigation, it is revealed that total productive maintenance, supplier management, just-in-time and five S practices enhance the firm performance. Other practices such as plant management practices, operational and people practices found in a lesser extent than previous ones. From the correlation, it is revealed that lean practices have a strong relationship with firm performance. In one-way ANOVA test results indicating that the number of firms, which are less in the initial stage of lean implementation and much more impressive in a transition stage.

The chosen approach for this research study was the cross-sectional one limited to the northern region of India and the investigated variables.

This study will help the stakeholders and manufacturers to enhance the performance of firms using LMPs, especially in a developing country. From these findings, practitioners and academicians would focus on vital issues related to firm enhancement apart from operational measures.

This study is one of the first attempts in which relation is developed between LMPs and firm performance and further data are investigated using canonical cross loadings and ANOVA analysis.

The study identifies barriers all stakeholders face in the returns management process. The pressing issue of online product returns significantly erodes the net profit margins, demanding urgent action. Existing returns management systems are often complex, time-consuming and costly, failing to address this issue effectively. In this regard, persuasive technologies like gamification can effectively influence behaviour and enhance motivation towards reducing return by striking a balance between psychological and behavioural factors. Therefore, the study proposes a framework that combines the theory of planned behaviour and Octalysis to identify intentions to reduce product return rates in the e-commerce business.

A qualitative exploratory research design using a multiple case study-based approach with in-depth interviews conducted with 96 varied stakeholders was used to provide insights into the behavioural aspects for reducing return rates in e-commerce.

The results reveal three facets of effective returns management in e-commerce. Customers and delivery partners prioritize return processes, policies and rewards, emphasizing efficiency. Meanwhile, mid- and strategic-level employees are optimistic about return process enhancements. Interdepartmental integration and cross-functional communication are found to be vital, suggesting the need for a gamified framework in returns management.

This research enriches the returns management literature on gamification solutions and responds to the need for theoretical anchoring by applying the theory of planned behaviour at the organizational level to improve efficiency and customer centricity in the return process.

The purpose of this study is to provide a holistic view of how the different dimensions of absorptive capacity (AC) impact reverse knowledge transfer (RKT). Although the importance of AC has been realized in knowledge and RKT literature, scholars have hardly explored the differentiated importance of each component of AC. When knowledge leads to competitive advantage, understanding the differentiated contribution will help enhance the impact of AC on RKT. This becomes even more important for emerging economy multinationals (EMNCs), which struggle in the global market and suffer from various liabilities. Therefore, this study focuses on the multidimensional impact of AC on RKT from Indian multinational subsidiaries based in developed nations to their parent firm.

This study is a quantitative study. The authors tested the research model using a structural equation modeling design based on survey data collected from subsidiaries (in developed economies) of Indian multinationals.

The results show that acquisition, assimilation and transformation components of AC have positive impact on RKT. However, the authors found that the exploitation dimension has no impact on RKT.

To the best of the authors’ knowledge, the research design is original and this is the first study on the impact of all components of AC on RKT. AC is one of the most widely researched variables in knowledge literature, including different versions of Zahra and George’s concept of AC. However, its impact has not been explored much in RKT literature. This study addresses this gap and extends the literature on AC and RKT. The advantages of this study can be seen at the team and organization level.

The paper aims to analyse the extent of volatility and generating forecasts of exchange rates of British pound and Indian rupees in US terms.

This study applies different combinations of GARCH and EGARCH models suggested in the Econometric literature to capture the extent of volatility. The forecast of exchange rates of British Pound and Indian Rupees in US terms are generated applying artificial neural network (ANN) technique using different combination of networks with hyperbolic tangent function at hidden and output stage of the model.

The presence of volatility depicts that there is noise and chaos in the forex market. Prediction of exchange rate of the respective currencies underscores that exchange rates will increase marginally in near future.

The results proposed in this study will be benchmark for the hedgers, investors, bankers, practitioners and economists to foresee the exchange rate in the presence of volatility and design policies accordingly.

In literature, no study has applied ANN for forecasting exchange rate after measuring the extent of volatility. The present study is a unique contribution in the existing pool of literature to forecasts the concerned variable(s) after ascertaining the noise and chaos in the data by applying GARCH family models.

The paper aims to identify key human and operational focused barriers to the implementation of Total Quality Management (TQM). It develops a comprehensive structural relationship between various barriers to successfully implement TQM for sustainability in Indian organizations.

With the help of expert opinions and extant literature review, we identified the case of TQM failure companies and barriers to implement TQM effectively. Interpretive Structural Modeling (ISM) and fuzzy MICMAC techniques are employed to develop a structural model and the identified barriers are categorized based on their dependence and driving power in the various categories.

From the intensive case analysis, we identify fourteen barriers that constrain the successful implementation of TQM. The findings also provide a hierarchy of barriers in which the absence of top management involvement and ineffective leadership are the human barriers having the highest dependence.

The critical inputs show the implementation of TQM in the firms being more proactive and well prepared in the selected five companies. The study's emphasis on barriers will help organizations in implementing TQM for better sustainability in an organizational context.

In the successful implementation of TQM, barriers need to be identified because failure has often eliminated the organizations from the market. Thus, TQM is the source of strength to achieve higher productivity, profitability, and sustainable business performance. The barriers must be identified to improve organizational performance to contribute to sustainable development.

The purpose of this research was to conduct a comprehensive bibliometric analysis to explore supply chain resilience and operations management practices in the construction industry, with a particular focus on the transition from Industry 4.0 to Industry 5.0. The study addressed a significant gap in the literature regarding the impact of these advanced technologies on the construction sector’s ability to anticipate, respond to and recover from disruptions.

The methodology employed a bibliometric analysis using the Scopus database to identify key trends, influential publications and emerging research areas using keywords such as “supply chain”, “operations management”, “Industry 4.0”, “Industry 5.0” and “construction”. This approach allowed for a quantitative evaluation of existing literature, offering insights into the intellectual structure of the field.

The findings revealed that while Industry 4.0 technologies, such as IoT and AI, have enhanced the construction industry’s supply chain visibility and efficiency, the shift towards the Industry 5.0 paradigm introduces a human-centric approach that further strengthens resilience through collaboration and sustainability.

The study’s practical implications suggest to both industry and academia that embracing Industry 5.0 principles could significantly enhance the construction industry’s resilience, enabling it to withstand disruptions better and maintain project quality, timelines, and budgets in an increasingly complex global environment.

This research examines the shift from Industry 4.0 to Industry 5.0 within construction supply chains, offering a novel perspective on integrating these technologies.

The paper aims to evaluate different artificial neural network models and to suggest a suitable model for forecasting inflation in G-7 countries.

The study applies different combinations of neural networks with hyperbolic tangent function using backpropagation learning with the steepest gradient descent technique to monthly data on Consumer Price Index (a measure of inflation) of the USA, the UK, France, Germany, Italy, Japan and Canada.

Predictions of inflation based on the Consumer Price Index for all the seven countries divulged that it is expected that the rate of inflation will decline marginally in the near future.

The results proposed in this study will be a benchmark for policy-makers, economists and practitioners to forecast inflation and design policies accordingly.

The paper’s findings provide strong evidence for policy-makers that while constructing models for forecasting inflation, the suggested models can be used to track the future rates of inflation and, further, they can apply that model in framing policies.

To understand: – the demand and supply side challenges in launching a new product in sports. – Factors, which go into the making of a successful “new” sport. – The role of planning in sport management.

In July 2017, on the eve of Pro Kabaddi League (PKL) Season 5, kabaddi had emerged as one of India’s most important non-cricketing sport. PKL was India’s first men’s professional kabaddi league, introduced by Mashal Sports and Star India in 2014. Kabaddi was an indigenous sport, and India had an unbeaten international track record as world champions. Yet, the sport and its players had never received their due in India. In 2017, while kabaddi’s popularity had increased, leading to sponsorship opportunities, huge player bids, prize money and television viewership, all was not quite hunky-dory. A women’s kabaddi league introduced only the previous year had not been continued, despite an extended format in 2017. The audience profile also did not match that envisaged by Star. As a unique creator of sports content, Star was in an enviable position in India; and so was Kabaddi as a sport. How had Star created a new property around an indigenous sport with rural and rustic associations, transforming it into a snazzy, up-market sport within just three years, even while leagues involving other popular sports failed to create a mark? Could Star sustain this interest? How could kabaddi retain its “star” position within Star’s stable?

In an undergraduate or a postgraduate programme in business administration.

Teaching notes are available for educators only.

CSS 11: Strategy.