IIMB Management Review最新文献

{"title":"Job crafting leading to employee life satisfaction amongst service sector professionals: Can person-job fit be a possible mediator?","authors":"Mimi Banerjee,&nbsp;V.N. Giri","doi":"10.1016/j.iimb.2025.100572","DOIUrl":"10.1016/j.iimb.2025.100572","url":null,"abstract":"<div><div>Drawing on the job demands and resources theory and the spillover effect theory, we test an empirical model examining the association of job crafting dimensions with life satisfaction. The mediating role of person-job fit (PJF) is considered in the relationship. Data were sourced cross-sectionally from 643 employees associated with the Indian IT and ITeS sector across the country. Relevant statistics such as EFA, CFA, and SEM-based modelling were executed. For mediation analysis, bootstrapping was conducted in AMOS. The study’s findings indicate the effect of job crafting dimensions on life satisfaction. It was observed that PJF emerged as a successful mediator of the relationship for all facets of job crafting. The results advance the job crafting theory by empirically testing employee proactivity in the work domain and its influence on overall life satisfaction. The results attest to the notion of the spillover effect. The study’s findings have theoretical and practical implications for occupational psychology and human resource development.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 2","pages":"Article 100572"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144253356","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":"Building a remote career: Navigating work-life interface from role engagement to work passion while working from home","authors":"Munmun Goswami ,&nbsp;Anita Sarkar ,&nbsp;Lalatendu Kesari Jena ,&nbsp;Duraipandian Israel","doi":"10.1016/j.iimb.2025.100573","DOIUrl":"10.1016/j.iimb.2025.100573","url":null,"abstract":"<div><div>Drawing from the theoretical foundations of the conservation of resources theory (<span><span>Hobfoll, 1989</span></span>, <span><span>2002</span></span>), work-family enrichment theory (<span><span>Greenhaus &amp; Powell, 2006</span></span>), and the work-home resources model (<span><span>ten Brummelhuis &amp; Bakker, 2012</span></span>), we investigate the interplay of role engagement and work passion that shapes the remote work experience. Using structural equation modelling, we analysed data collected from 539 working adults working-from-home in India. Notably, we observed a positive association between engagement in family roles and positive affect, which subsequently fosters work engagement. When channelled through harmonious work passion, this work engagement contributes to increased work-life enrichment. Conversely, when filtered through obsessive work passion, it tends to amplify work-life conflict. Furthermore, our study highlights the significant influence of external factors, such as work-supportive family behaviour, family-supportive supervisor behaviour, age, income, and family type, on the model’s dynamics. By adopting a comprehensive approach, our study helps gain insights into the intricate mechanisms that govern the work-life interface of an individual when pursuing a remote career from home.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 2","pages":"Article 100573"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144253357","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":"Erratum to Effect of earnings management and cash holdings on annual report readability: Evidence from top Indian companies IIMB Management Review, 36/4(2024) 322-339","authors":"Sweta Tiwari ,&nbsp;Chanchal Chatterjee ,&nbsp;Pooja Sengupta","doi":"10.1016/j.iimb.2025.100569","DOIUrl":"10.1016/j.iimb.2025.100569","url":null,"abstract":"","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 2","pages":"Article 100569"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144253355","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":"Enhancing customer repurchase prediction: Integrating classification algorithms with RFM analysis for precision and actionable insights","authors":"Rakesh Verma ,&nbsp;Devesh Rathor ,&nbsp;Saurabh Kumar ,&nbsp;Mayank Mishra ,&nbsp;Mayank Baranwal","doi":"10.1016/j.iimb.2025.100574","DOIUrl":"10.1016/j.iimb.2025.100574","url":null,"abstract":"<div><div>Accurate prediction of customer repurchase behaviour is vital for businesses aiming to boost customer retention. This study introduces an advanced approach that merges classification algorithms with RFM analysis, a widely adopted framework in customer relationship management. The proposed models utilise RFM scores as input features to categorise customers into likely or unlikely repurchasers. The developed models demonstrate strong accuracy (74%) and performance on an online UK retail store dataset, showcasing their efficacy in identifying customers likely to make future purchases. Furthermore, a feature importance analysis identifies key RFM dimensions influencing repurchase behaviour, empowering businesses to tailor targeted marketing strategies.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 2","pages":"Article 100574"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321875","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":"Implication of global financial cycle on emerging market economies: Evidence from India","authors":"Vrinda Gupta ,&nbsp;Amlendu Dubey","doi":"10.1016/j.iimb.2025.100575","DOIUrl":"10.1016/j.iimb.2025.100575","url":null,"abstract":"<div><div>In this paper, we examine how the global financial cycle is translated into domestic financial cycle across different financial assets comprising equity prices, credit, and leverage for India. Using quarterly data from 1990 to 2021, we find that ‘risk-taking channel’ transfers global financial cycle into domestic economy which manifests itself through equity prices, credit, and leverage; however, Indian housing cycle seems resilient to the global housing cycle. In this context, macroprudential policies might be employed to limit the risk-taking channel and hence reduce palpability of domestic economy to the global financial cycle.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 2","pages":"Article 100575"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144263214","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":"Does salary disparity affect team performance in cricket? Evidence from the Indian Premier League","authors":"Deepak Srivastav ,&nbsp;Praveen Puram ,&nbsp;Rudra Sensarma ,&nbsp;Anand Gurumurthy","doi":"10.1016/j.iimb.2025.100568","DOIUrl":"10.1016/j.iimb.2025.100568","url":null,"abstract":"<div><div>We examine salary disparity and team performance using data from 11 seasons of the Indian Premier League (IPL) between 2008 and 2019. Research on corporate pay structures and professional team sports organisations has examined salary disparity and its ramifications, but the case of cricket is less explored, particularly in relation to team performance. We study the world’s largest cricket league, viz. IPL, which imposes hard budget caps making pay disparities more likely. We find evidence for equity pay theory according to which salary disparity cripples group harmony and team performance by creating a perception of inequality and jealousy among employees.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 2","pages":"Article 100568"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144253354","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":"Navigating office politics: How do self-concept and upward voice influence women's workplace well-being?","authors":"Apoorva Goel ,&nbsp;Nabila Khan ,&nbsp;Lata Dyaram","doi":"10.1016/j.iimb.2024.04.001","DOIUrl":"10.1016/j.iimb.2024.04.001","url":null,"abstract":"<div><div>Using the Job Demands-Resources theory, this study examines how organisational politics and self-concept affect women employees’ voice and workplace well-being (WWB). It employs an explanatory-sequential design, with study 1 (quantitative research, n = 463) using experimental vignettes and scale measures to test the hypotheses, followed by study 2 (qualitative research, n = 12) using in-depth interviews to explain the quantitative results. It was found that women's perceptions of organisational politics debilitated their WWB mediated by their voices. Furthermore, the “relational” self-concept moderated the mediated association, which reduced the negative impact. The study goes beyond the typical conception of work-family balance to provide strategies for improving women's work experiences.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 1","pages":"Article 100526"},"PeriodicalIF":1.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140769677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A set of linearised partially-parallel splitting methods for separable convex programs","authors":"Jitamitra Desai ,&nbsp;Kai Wang","doi":"10.1016/j.iimb.2024.03.001","DOIUrl":"10.1016/j.iimb.2024.03.001","url":null,"abstract":"<div><div>The proximal partially-parallel splitting method (PPSM), originally proposed in Wang, Desai, and He (2017), is a hybrid mechanism that inherits the nice properties of both Gauss-Seidel and Jacobian substitution procedures for solving the multiple-block convex minimisation problem, whose objective function is the sum of <span><math><mi>m</mi></math></span> individual (separable) functions without any shared variables, subject to a linear coupling constraint. In this paper, we extend this work and present some <em>linearised versions</em> of the PPSM, which fully utilise the separable structure and result in subproblems that either have closed-form solutions or are relatively easy to solve as compared to their original nonlinear versions. Global convergence of these linearised methods under the projection contraction algorithmic framework is proven, and furthermore, detailed remarks that serve to clarify the interconnections between these linearised variants are highlighted. Finally, the worst-case <span><math><mrow><mi>O</mi><mo>(</mo><mn>1</mn><mo>/</mo><mi>t</mi><mo>)</mo></mrow></math></span> convergence rate of these methods under ergodic conditions is also established.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 1","pages":"Article 100518"},"PeriodicalIF":1.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140154320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Targeting audience personas with programmatic geographic segments using unsupervised methods","authors":"Viraj Noorithaya","doi":"10.1016/j.iimb.2025.100549","DOIUrl":"10.1016/j.iimb.2025.100549","url":null,"abstract":"<div><div>The digital advertising industry, where clients advertise to existing and potential customers through digital channels, is going through a rapid transformation. This is necessitated by evolving privacy laws such as General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA), heading towards a cookie-less future by decreasing reliance on Personally identifiable information (PII). While approaches like Data clean rooms, Federated learning have started gaining prominence, the current AdTech space is highly fragmented regarding channels, standards, platforms, inventory, cookieless targeting approaches, and compatibility.</div><div>For marketers, it is crucial to have generalized and interoperable but privacy-compliant approaches to reach their audience. While it is safer not to limit to a specific advertising stack, it must not come at a substantial performance cost. When a brand starts an advertising campaign, they usually have objectives and a target audience in mind. While their objectives are aligned with business goals and performance metrics, the desired audience personas are defined by either market research or new/ historically well-performing consumer profiles suited to their products and services. This paper presents ways to convert multi-characteristic personas into geographic targeting without relying on cookie-based data. These geographic segments have broad compatibility across marketing platforms.</div><div>We sourced data from 5 privacy-compliant datasets containing ∼9000 variables aggregated at Forward Sortation Area (FSA) level by a leading Canadian data provider. These variables span a wide range of characteristics such as demographic, econometric, lifestyle and media choices, brand affinities, purchasing behaviors, and spending. The persona-related variables are optionally indexed, after which dimensionality reduction techniques, such as Principal Component Analysis (PCA) and Uniform Manifold Approximation and Projection (UMAP), were applied. Unsupervised learning methods, such as KMeans, KMeans++ and Gaussian Mixture Models (GMMs), were then used to build an optimal number of FSA clusters. These clusters were then analyzed to identify those beneficial to targeting, which helps reduce the number of FSAs to target. The final output for marketing consumption is in the form of FSA segments for targeting aligned with our desired profiles. We analyze campaign metrics against different combinations of dimensional reduction and clustering techniques to assess what works well for advertising.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 1","pages":"Article 100549"},"PeriodicalIF":1.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"War-driven attention and cryptocurrency returns: The case of the Russia–Ukraine war","authors":"Arushi Verma,&nbsp;Madhumita Chakraborty","doi":"10.1016/j.iimb.2025.100552","DOIUrl":"10.1016/j.iimb.2025.100552","url":null,"abstract":"<div><div>The paper investigates how attention to the Russia-Ukraine war affects cryptocurrency returns by creating a Google search volume index (GSVI) using Google trends keywords. It finds that crypto returns react positively to attention to war and negatively to the volatility index (VIX), demonstrating that investor fear during times of crisis may increase interest in cryptocurrencies. The research provides specific insights into crypto markets that can aid portfolio managers and regulators. It also adds to the limited studies on the impact of war on cryptocurrency returns.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"37 1","pages":"Article 100552"},"PeriodicalIF":1.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}