{"title":"Global Capability Centres: Emerging Opportunities and Challenges","authors":"Srivardhini K. Jha , Anilesh Seth","doi":"10.1016/j.iimb.2025.100595","DOIUrl":"10.1016/j.iimb.2025.100595","url":null,"abstract":"<div><div>This article explores the evolving landscape of Global Capability Centres (GCCs) in India, highlighting their shift from cost arbitrage units to strategic hubs of innovation and value creation. Drawing on a roundtable discussion with industry leaders, it examines key themes including locational shifts, leadership strategies, talent challenges, and the impact of emerging technologies like GenAI. The article offers insights into how GCCs can navigate increasing complexity and global competition while strengthening their role within multinational enterprises. It also discusses implications for business schools in shaping the next generation of GCC leadership.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 3","pages":"Article 100595"},"PeriodicalIF":1.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A network science-based approach to rank cricket players","authors":"Kundan Kandhway","doi":"10.1016/j.iimb.2025.100589","DOIUrl":"10.1016/j.iimb.2025.100589","url":null,"abstract":"<div><div>We present a method to rank cricket players based on the node centrality concept from network science. We create batsmen-bowlers bipartite networks with edge weights based on performance metrics such as average, strike rate, etc. Then, modifications of the standard Katz and PageRank centrality measures are proposed to assign centrality scores to the nodes of these weighted bipartite networks. We tested our approach on the ODI and T20 data of the last two decades to come up with the rank of the players based on their performance during this period.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 3","pages":"Article 100589"},"PeriodicalIF":1.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Conditionality matters: A Samaritan’s Dilemma with in-kind transfers targeting educational attainment","authors":"Somdeep Chatterjee , Oindrila Dey","doi":"10.1016/j.iimb.2025.100592","DOIUrl":"10.1016/j.iimb.2025.100592","url":null,"abstract":"<div><div>This paper studies the possible existence of a Samaritan’s Dilemma associated with in-kind transfers in the form of distribution of free books and uniforms to elementary school students in India. Using propensity score matching methods, we show that despite the transfer being in-kind, there are perverse consequences on learning levels of recipient children compared to non-recipients. These findings are supported by a theoretical model suggesting that absence of conditionality in transfer entails low returns from exerting efforts for learning. A direct design implication is to focus on the conditionality of the transfer regardless of its nature viz., cash or kind.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 3","pages":"Article 100592"},"PeriodicalIF":1.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Unveiling the hidden patterns: Non-linear determinants of natural hedging","authors":"Anureet Saharan, Madhumathi Rajendran","doi":"10.1016/j.iimb.2025.100598","DOIUrl":"10.1016/j.iimb.2025.100598","url":null,"abstract":"<div><div>We examine whether the relationship between natural hedging and its determinants is non-linear. We develop a novel tridimensional index for measuring the natural hedging of a firm through international diversification. Applying a panel quantile approach with non-additive fixed effects, we categorise firms into subgroups (parent-controlled, jointly-controlled, and locally-controlled) based on the level of international diversification. Using a sample of 1950 listed Indian firms spanning 1991–2022 (18,113 firm-years), we find that the relationship between natural hedging and its determinants varies with changes in the control structure. The non-linearity in the relationship is due to the interconnection between natural hedging and the firm’s operations.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 3","pages":"Article 100598"},"PeriodicalIF":1.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Detecting and forecasting financial bubbles in the Indian stock market using machine learning models","authors":"Mahalakshmi Manian, Parthajit Kayal","doi":"10.1016/j.iimb.2025.100591","DOIUrl":"10.1016/j.iimb.2025.100591","url":null,"abstract":"<div><div>This study examines financial bubbles in the Indian stock market, where asset prices exceed their intrinsic value, using NIFTY 500 index data (2003–2021). The Phillips, Shi, and Yu (PSY) method detects bubbles through a right-tailed unit root test, revealing notable occurrences in 2007 and 2017. Machine learning algorithms, including Artificial Neural Networks, Random Forest, and Gradient Boosting, outperform traditional methods in predicting bubbles in real time. These findings emphasise the potential of advanced machine learning techniques for policymakers to enhance market regulation and mitigate risks through improved detection and management of financial bubbles.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 3","pages":"Article 100591"},"PeriodicalIF":1.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Role of workplace spirituality on work-related attitudes and outcomes: The moderating role of organisational politics","authors":"Swati Dhir","doi":"10.1016/j.iimb.2025.100594","DOIUrl":"10.1016/j.iimb.2025.100594","url":null,"abstract":"<div><div>This study aims to explore the relationship between workplace spirituality, work-related attitude as job satisfaction and well-being, and work-related outcomes as employee retention and organisational performance. Using survey method, data were collected from employees at all levels and analysed it using partial least square structural equation modelling (PLS SEM). The paper has established the significant link between workplace spirituality, employee well-being, and job satisfaction. Also, the study has explained how organisational politics affect employee retention and organisational performance. The results will help the practitioners to design the customised interventions for the employees to improve employee well-being and facilitate workplace spirituality.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 3","pages":"Article 100594"},"PeriodicalIF":1.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Return volatility connectedness and portfolio strategies among sustainable assets with traditional counterparts and cryptocurrency: Insights from extreme markets","authors":"Satyaban Sahoo , Deepti Singh","doi":"10.1016/j.iimb.2025.100596","DOIUrl":"10.1016/j.iimb.2025.100596","url":null,"abstract":"<div><div>This study employs novel quantile time-frequency connectedness approach to explore the dynamic connectedness among sustainable assets (sustainable, green bond, and clean energy index), traditional assets (traditional index and crude oil), and cryptocurrency. This method assesses the impact of uncertain events on asset relationships. Findings indicate median connectedness of 36.94% in the short run and 4.81% in the long run, with short-term dynamics dominating system transmission. The traditional index is the primary transmitter of short-run shocks, while the green bond index leads in long-run shocks. Diversification across asset classes is recommended for effective hedging and optimal returns during extreme market conditions.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 3","pages":"Article 100596"},"PeriodicalIF":1.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Debanjana Deb Biswas , Sitamma Mikkilineni , Neha Gahlawat
{"title":"The synergistic resilience framework: Unravelling the interplay of personal, social, and organisational factors of employee resilience in the Indian workplace","authors":"Debanjana Deb Biswas , Sitamma Mikkilineni , Neha Gahlawat","doi":"10.1016/j.iimb.2025.100593","DOIUrl":"10.1016/j.iimb.2025.100593","url":null,"abstract":"<div><div>Resilience models developed in child psychology and in high stress situations have been directly adapted to the Indian workplaces, ignoring the contextual differences. The interdependence principle, that has a major role in manifesting resources into resilient behaviour, has been largely ignored. This study conducted 20 in-depth interviews with working professionals in India, belonging to six different industries. The aim was to identify the specific factors that helped in the development of employee resilience in the emerging economy of India. Several themes and sub-themes emerged. Based on these results and the social cognitive theory, a dynamic framework is proposed.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 3","pages":"Article 100593"},"PeriodicalIF":1.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring predictive prowess of ensemble machine learning models in banking stocks: A technical, fundamental, and macroeconomic analysis","authors":"Sabyasachi Mohapatra , Rohan Mukherjee , Nicholas Apergis , Anirban Sengupta","doi":"10.1016/j.iimb.2025.100570","DOIUrl":"10.1016/j.iimb.2025.100570","url":null,"abstract":"<div><div>The work scrutinises the predictive prowess of ensemble machine learning models, namely Random Forest, Gradient Boosting, and XGBoost, in the domain of stock prediction by training models at two different stages. In stage 1, we restrict our evaluation to 18 technical indicators alongside holding period returns of 20 Indian Banks between January 2013 and March 2022, for short-term (20, 40, and 60 days), medium-term (180 days), and long-term durations (240 days); in stage 2, we further develop the study by including an additional combination of 6 firm-specific fundamental factors and 6 macroeconomic variables along with 18 technical indicators designed using price, volume, and momentum. During stage 1, we observe a modest range of performance, that is, between 62% and 78% across metrics, namely, accuracy score, F1 score, precision values, recall score, and specificity numbers. However, with the inclusion of fundamental and macroeconomic factors in stage 2, we observe a significant improvement in performance metrics to the tune of 90% across models for different holding periods. Particularly, for XGBoost, the reported accuracy range lies between 96% and 98%. Results indicate that while technical indicators are extremely important for short-term returns, the feature importance of fundamental and macroeconomic variables is highlighted during medium-term and long-term, respectively.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 2","pages":"Article 100570"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144253420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital transformational outsourcing: A necessity analysis of service provider capabilities","authors":"Sudipto Mazumder , Swapnil Garg","doi":"10.1016/j.iimb.2025.100571","DOIUrl":"10.1016/j.iimb.2025.100571","url":null,"abstract":"<div><div>Capabilities enable performance, but how does their absence constrain performance? We ask this critical question as firms continuously adapt to the fast-evolving environment, refreshing their capabilities. Studying outsourcing service provider capabilities in digital transformational outsourcing in the IT-enabled business services industry, we explore the capability constraining query by adopting a necessary but not sufficient logic. By developing and testing necessity hypotheses, we identify an inherent hierarchy in dynamic capabilities, depicting how different levels of capabilities constrain performance to varying levels. The above enables us to guide an order of capability development in provider firms.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 2","pages":"Article 100571"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144253421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}