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Unveiling the hidden patterns: Non-linear determinants of natural hedging 揭示隐藏的模式:自然对冲的非线性决定因素
IF 1 Q3 MANAGEMENT Pub Date : 2025-09-01 DOI: 10.1016/j.iimb.2025.100598
Anureet Saharan, Madhumathi Rajendran
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.
我们研究了自然对冲与其决定因素之间的关系是否是非线性的。我们开发了一个新的三维指标来衡量公司通过国际多元化的自然对冲。采用具有非加性固定效应的面板分位数方法,我们根据国际多元化水平将公司分为子组(母公司控制、联合控制和本地控制)。利用1950家印度上市公司1991-2022年(18113个公司年)的样本,我们发现自然套期保值及其决定因素之间的关系随着控制结构的变化而变化。这种关系的非线性是由于自然套期保值与企业经营之间的相互联系。
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引用次数: 0
Detecting and forecasting financial bubbles in the Indian stock market using machine learning models 利用机器学习模型检测和预测印度股市的金融泡沫
IF 1 Q3 MANAGEMENT Pub Date : 2025-09-01 DOI: 10.1016/j.iimb.2025.100591
Mahalakshmi Manian, Parthajit Kayal
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.
本研究使用NIFTY 500指数数据(2003-2021年)研究了印度股市的金融泡沫,其中资产价格超过其内在价值。Phillips, Shi, and Yu (PSY)方法通过右尾单位根检验检测泡沫,揭示了2007年和2017年的显著现象。机器学习算法,包括人工神经网络、随机森林和梯度增强,在实时预测泡沫方面优于传统方法。这些发现强调了先进的机器学习技术对政策制定者的潜力,可以通过改进金融泡沫的检测和管理来加强市场监管和降低风险。
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引用次数: 0
Role of workplace spirituality on work-related attitudes and outcomes: The moderating role of organisational politics 工作场所灵性对工作态度和结果的影响:组织政治的调节作用
IF 1 Q3 MANAGEMENT Pub Date : 2025-09-01 DOI: 10.1016/j.iimb.2025.100594
Swati Dhir
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.
本研究旨在探讨工作场所灵性、工作态度(工作满意度和幸福感)和工作结果(员工保留和组织绩效)之间的关系。采用调查法,从各级员工中收集数据,并使用偏最小二乘结构方程模型(PLS SEM)进行分析。本文建立了工作场所灵性、员工幸福感和工作满意度之间的重要联系。此外,该研究还解释了组织政治如何影响员工保留和组织绩效。研究结果将有助于从业者为员工设计定制的干预措施,以提高员工的幸福感和促进工作场所的灵性。
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引用次数: 0
Return volatility connectedness and portfolio strategies among sustainable assets with traditional counterparts and cryptocurrency: Insights from extreme markets 可持续资产与传统同行和加密货币之间的回报波动性连通性和投资组合策略:来自极端市场的见解
IF 1 Q3 MANAGEMENT Pub Date : 2025-09-01 DOI: 10.1016/j.iimb.2025.100596
Satyaban Sahoo , Deepti Singh
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.
本研究采用新颖的分位数时频连通性方法,探讨可持续资产(可持续、绿色债券和清洁能源指数)、传统资产(传统指数和原油)和加密货币之间的动态连通性。该方法评估不确定事件对资产关系的影响。研究结果表明,中位连通性在短期为36.94%,在长期为4.81%,短期动态主导系统传输。传统债券指数是短期冲击的主要传递者,而绿色债券指数是长期冲击的主要传递者。为了在极端市场条件下有效对冲和获得最佳回报,建议在资产类别之间进行多样化。
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引用次数: 0
The synergistic resilience framework: Unravelling the interplay of personal, social, and organisational factors of employee resilience in the Indian workplace 协同弹性框架:揭示印度工作场所员工弹性的个人、社会和组织因素的相互作用
IF 1 Q3 MANAGEMENT Pub Date : 2025-09-01 DOI: 10.1016/j.iimb.2025.100593
Debanjana Deb Biswas , Sitamma Mikkilineni , Neha Gahlawat
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.
在儿童心理学和高压力情况下发展的弹性模型直接适用于印度的工作场所,忽略了背景差异。相互依赖原则在将资源转化为有弹性的行为方面发挥着重要作用,但在很大程度上被忽视了。本研究对印度6个不同行业的专业人士进行了20次深度访谈。目的是确定在印度新兴经济体中帮助员工恢复力发展的具体因素。出现了几个主题和副主题。在此基础上,结合社会认知理论,提出了一个动态框架。
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引用次数: 0
Exploring predictive prowess of ensemble machine learning models in banking stocks: A technical, fundamental, and macroeconomic analysis 探索集成机器学习模型在银行股中的预测能力:技术、基本面和宏观经济分析
IF 1.7 Q3 MANAGEMENT Pub Date : 2025-06-01 DOI: 10.1016/j.iimb.2025.100570
Sabyasachi Mohapatra , Rohan Mukherjee , Nicholas Apergis , Anirban Sengupta
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.
这项工作通过在两个不同阶段训练模型,仔细检查了集成机器学习模型(即随机森林、梯度增强和XGBoost)在库存预测领域的预测能力。在第一阶段,我们将评估限制在18个技术指标以及20家印度银行在2013年1月至2022年3月期间的持有期回报,包括短期(20、40和60天)、中期(180天)和长期(240天);在第二阶段,我们进一步发展了研究,包括6个公司特定的基本因素和6个宏观经济变量的额外组合,以及18个使用价格、数量和动量设计的技术指标。在第1阶段,我们观察到一个适度的性能范围,即62%到78%之间的指标,即准确性评分,F1评分,精度值,召回率得分和特异性数字。然而,在第二阶段纳入基本面和宏观经济因素后,我们观察到不同持有期的模型的绩效指标有了显着改善,达到90%。特别是,对于XGBoost,报告的精度范围在96%到98%之间。结果表明,虽然技术指标对短期收益极为重要,但基本面变量和宏观经济变量的特征重要性分别在中期和长期中突出。
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引用次数: 0
Digital transformational outsourcing: A necessity analysis of service provider capabilities 数字化转型外包:服务提供商能力的必要性分析
IF 1.7 Q3 MANAGEMENT Pub Date : 2025-06-01 DOI: 10.1016/j.iimb.2025.100571
Sudipto Mazumder , Swapnil Garg
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.
功能支持性能,但是功能的缺失如何限制性能呢?随着企业不断适应快速变化的环境,更新自身能力,我们提出了这个关键问题。以it化业务服务行业数字化转型外包中的外包服务提供商能力为研究对象,采用必要而不充分的逻辑对能力约束查询进行了探讨。通过开发和测试必要性假设,我们确定了动态能力中固有的层次结构,描述了不同水平的能力如何将性能约束到不同的水平。这使我们能够指导供应商企业能力发展的顺序。
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引用次数: 0
Job crafting leading to employee life satisfaction amongst service sector professionals: Can person-job fit be a possible mediator? 在服务业专业人士中,工作塑造对员工生活满意度的影响:个人与工作的契合度能否成为一个可能的中介?
IF 1.7 Q3 MANAGEMENT Pub Date : 2025-06-01 DOI: 10.1016/j.iimb.2025.100572
Mimi Banerjee, V.N. Giri
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.
利用工作需求与资源理论和溢出效应理论,我们检验了一个考察工作制作维度与生活满意度之间关系的实证模型。本文考虑了个人-工作契合度(PJF)在人际关系中的中介作用。数据来自全国643名与印度IT和ITeS部门相关的员工。相关统计数据如EFA, CFA和基于sem的建模被执行。为了进行中介分析,在AMOS中进行了自举。研究结果表明,工作塑造维度对生活满意度的影响。人们注意到,在工作制定的所有方面,规划基金成功地成为关系的调解人。通过实证检验员工在工作领域的主动性及其对整体生活满意度的影响,研究结果进一步推进了工作制作理论。结果证明了溢出效应的概念。研究结果对职业心理学和人力资源开发具有理论和实践意义。
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引用次数: 0
Building a remote career: Navigating work-life interface from role engagement to work passion while working from home 建立远程职业:在家工作时,从角色投入到工作激情,引导工作-生活界面
IF 1.7 Q3 MANAGEMENT Pub Date : 2025-06-01 DOI: 10.1016/j.iimb.2025.100573
Munmun Goswami , Anita Sarkar , Lalatendu Kesari Jena , Duraipandian Israel
Drawing from the theoretical foundations of the conservation of resources theory (Hobfoll, 1989, 2002), work-family enrichment theory (Greenhaus & Powell, 2006), and the work-home resources model (ten Brummelhuis & Bakker, 2012), 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.
借鉴了资源节约理论(Hobfoll, 1989, 2002)、工作-家庭富集理论(Greenhaus &;Powell, 2006),以及工作家庭资源模型(10 Brummelhuis &;Bakker, 2012),我们研究了塑造远程工作体验的角色投入和工作激情的相互作用。使用结构方程模型,我们分析了从印度539名在家工作的成年人收集的数据。值得注意的是,我们观察到家庭角色的投入与积极影响之间存在正相关,积极影响随后会促进工作投入。当通过和谐的工作激情引导时,这种工作投入有助于增加工作与生活的丰富性。相反,当被过度的工作激情过滤后,它往往会放大工作与生活的冲突。此外,我们的研究强调了外部因素,如工作支持型家庭行为、家庭支持型主管行为、年龄、收入和家庭类型,对模型动态的显著影响。通过采用一种综合的方法,我们的研究有助于深入了解当一个人在家从事远程职业时,控制其工作与生活界面的复杂机制。
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引用次数: 0
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 盈余管理和现金持有量对年报可读性的影响:来自印度顶级公司的证据[j] .管理评论,36/4(2024):322-339
IF 1.7 Q3 MANAGEMENT Pub Date : 2025-06-01 DOI: 10.1016/j.iimb.2025.100569
Sweta Tiwari , Chanchal Chatterjee , Pooja Sengupta
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引用次数: 0
期刊
IIMB Management Review
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