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The Gunas personality framework: Associations with values, virtues, and risk-taking behaviour 古纳斯人格框架：与价值观、美德和冒险行为有关
IF 1.6
IIMB Management Review Pub Date : 2026-09-01 Epub Date: 2026-08-15 DOI: 10.1016/j.iimb.2026.100702
Anwesa Nanda, Zubin R. Mulla, Surabhi Sachar, Venkat R. Krishnan
{"title":"The Gunas personality framework: Associations with values, virtues, and risk-taking behaviour","authors":"Anwesa Nanda,&nbsp;Zubin R. Mulla,&nbsp;Surabhi Sachar,&nbsp;Venkat R. Krishnan","doi":"10.1016/j.iimb.2026.100702","DOIUrl":"10.1016/j.iimb.2026.100702","url":null,"abstract":"<div><div>Every human being is composed of three <em>gunas</em> or fundamental elements <em>– sattva</em> (intelligence), <em>rajas</em> (energy), and <em>tamas</em> (mass). In a series of studies with 193 executives (Study 1), 131 engineering students (Study 2), and 176 engineering students (Study 3), we show the relationships between the gunas and values, virtues, and risk-taking behaviour. We found that <em>sattva</em> was positively related to self-transcendent values and negatively to self-enhancement values. <u>t</u><em>amas</em> was negatively related to social risk-taking and positively to risk-taking in ethical, financial, and health matters. Together, the studies substantiate our argument that <em>gunas</em> constitute an inclusive and comprehensive framework of an individual’s personality.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"38 3","pages":"Article 100702"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149072130","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}
引用次数: 0
Refining emotional labour metrics: The hospitality situational judgement test 改进情绪劳动指标：待客情境判断测试
IF 1.6
IIMB Management Review Pub Date : 2026-06-01 Epub Date: 2026-05-27 DOI: 10.1016/j.iimb.2026.100674
Ramyani Kundu, Tanusree Dutta, Swati Dhir
{"title":"Refining emotional labour metrics: The hospitality situational judgement test","authors":"Ramyani Kundu,&nbsp;Tanusree Dutta,&nbsp;Swati Dhir","doi":"10.1016/j.iimb.2026.100674","DOIUrl":"10.1016/j.iimb.2026.100674","url":null,"abstract":"<div><div>The research introduces a situational judgement test (SJT) designed to measure emotional labour in the hospitality industry, adhering to Morris and Feldman’s theoretical model. The newly developed test was rigorously validated across three distinct studies, which confirmed its psychometric robustness through confirmatory factor analysis, reliability assessments, and various forms of validity testing. The findings highlight the SJT’s effectiveness in quantifying emotional labour, thereby offering a practical tool for enhancing employee selection, performance assessment, and training within the hospitality sector.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"38 2","pages":"Article 100674"},"PeriodicalIF":1.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148544548","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}
引用次数: 0
Integrating sentiment analysis with CNN–LSTM models for stock price forecasting 将情感分析与CNN-LSTM模型相结合用于股价预测
IF 1.6
IIMB Management Review Pub Date : 2026-06-01 Epub Date: 2026-05-30 DOI: 10.1016/j.iimb.2026.100675
Taufeeque Ahmad Siddiqui, Mohd Raagib Shakeel, Shahzad Alam, Mahak Manzoor, Saif Siddiqui, Prashant Ranjan
{"title":"Integrating sentiment analysis with CNN–LSTM models for stock price forecasting","authors":"Taufeeque Ahmad Siddiqui,&nbsp;Mohd Raagib Shakeel,&nbsp;Shahzad Alam,&nbsp;Mahak Manzoor,&nbsp;Saif Siddiqui,&nbsp;Prashant Ranjan","doi":"10.1016/j.iimb.2026.100675","DOIUrl":"10.1016/j.iimb.2026.100675","url":null,"abstract":"<div><div>Stock price prediction remains challenging due to markets’ non-linear, volatile nature. While existing studies analyse numerical data or textual news separately, their synergistic integration remains underexplored. We propose a novel dual-stream deep learning framework combining wavelet-processed price data with Financial Bidirectional Encoder Representations from Transformers (FinBERT)-based news sentiment analysis through intermediate feature fusion. Our architecture employs convolutional neural networks–long short-term memory (CNN–LSTM) networks to model cross-modal temporal dependencies. Comprehensive evaluation demonstrates superior performance (test mean squared error (MSE) = 0.0220), highlighting the value of multimodal integration for financial forecasting. Results suggest that this approach enhances predictive accuracy in algorithmic trading, though performance depends on data quality and temporal alignment between information sources.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"38 2","pages":"Article 100675"},"PeriodicalIF":1.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148544546","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}
引用次数: 0
Beyond junk: Evaluating quality premium’s influence on stock prices and returns in India before and after COVID 超越垃圾：评估新冠肺炎前后印度质量溢价对股价和回报的影响
IF 1.6
IIMB Management Review Pub Date : 2026-06-01 Epub Date: 2026-04-30 DOI: 10.1016/j.iimb.2026.100671
Ann K. George, Parthajit Kayal
{"title":"Beyond junk: Evaluating quality premium’s influence on stock prices and returns in India before and after COVID","authors":"Ann K. George,&nbsp;Parthajit Kayal","doi":"10.1016/j.iimb.2026.100671","DOIUrl":"10.1016/j.iimb.2026.100671","url":null,"abstract":"<div><div>As a leading destination for investment among emerging markets, India’s unique governance challenges and evolving securities regulations make researching the quality factor in Indian firms crucial for informed investment, predominantly during an unparalleled crisis such as the COVID-19 pandemic. This study examines the impact of the quality minus junk (QMJ) factor, developed by Asness et al. (2019), on stock returns and prices in the Indian market using a panel of 567 non-financial firms listed on the BSE from October 2013 to September 2023, with factor construction following the Fama-French (1993, 2015) methodology. We observe a strong positive relationship between stock quality scores and the price-to-book (P/B) ratio, indicating that higher-quality stocks command a premium. Notably, the QMJ factor shows a significant positive impact on returns over time and during the pre-COVID period. However, a negative impact is observed in the post-COVID period. This study contributes valuable insights into the performance of quality factors across different periods, a context with scarce research in the Indian market.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"38 2","pages":"Article 100671"},"PeriodicalIF":1.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148544547","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}
引用次数: 0
Home team advantage in international cricket: Impact of pitches, rank, and toss on the match outcome 主队在国际板球中的优势：球场、排名和投掷对比赛结果的影响
IF 1.6
IIMB Management Review Pub Date : 2026-06-01 Epub Date: 2026-03-26 DOI: 10.1016/j.iimb.2026.100661
Chitresh Kumar, Sakshi Malik, Girish Balasubramanian
{"title":"Home team advantage in international cricket: Impact of pitches, rank, and toss on the match outcome","authors":"Chitresh Kumar,&nbsp;Sakshi Malik,&nbsp;Girish Balasubramanian","doi":"10.1016/j.iimb.2026.100661","DOIUrl":"10.1016/j.iimb.2026.100661","url":null,"abstract":"<div><div>This paper investigates whether match covariates, such as pitch, outfield and toss, contribute to a possible home advantage in men’s international cricket for matches played between 2019 and 2024. Team rankings, referee-assigned pitch ratings and outfield ratings were regressed against match outcomes. Referee pitch ratings were found consistent, and pitches rated ‘Good’ and ‘Very Good’ provided competitive balance. The toss does not impact Test matches, weakly influences T20Is, but increases the likelihood of a home-team win in ODIs. Team ranking emerges as a strong predictor of match outcomes; higher-ranked teams are more likely to win, substantiating the long-term knowledge assimilation and sports entry barrier hypotheses.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"38 2","pages":"Article 100661"},"PeriodicalIF":1.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148544550","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}
引用次数: 0
Design of contextual agricultural credit scoring model (CACSM) for Kisan Credit Card scheme in India: An application of NLP and machine learning 印度Kisan信用卡方案情境农业信用评分模型（CACSM）的设计：NLP和机器学习的应用
IF 1.6
IIMB Management Review Pub Date : 2026-06-01 Epub Date: 2026-06-06 DOI: 10.1016/j.iimb.2026.100676
Soma Panja, Subroto Chowdhury
{"title":"Design of contextual agricultural credit scoring model (CACSM) for Kisan Credit Card scheme in India: An application of NLP and machine learning","authors":"Soma Panja,&nbsp;Subroto Chowdhury","doi":"10.1016/j.iimb.2026.100676","DOIUrl":"10.1016/j.iimb.2026.100676","url":null,"abstract":"<div><div>This study introduces a contextual agricultural credit scoring model (CACSM) that incorporates loan repayment intention scores to enhance decision-making in collateral-free, small-ticket agricultural loans. By integrating sentiment analysis using Valence Aware Dictionary and sEntiment Reasoner (VADER) with traditional credit scoring variables, the model aims to improve loan approval outcomes. The development of CACSM involves three key stages: first, determining the optimal alpha parameter for VADER sentiment analysis to assess repayment intentions; second, evaluating the performance of machine learning models using traditional credit scoring factors; and third, analysing model performance when loan repayment intention scores are added. Experimental results show that incorporating repayment intention scores significantly improves predictive accuracy, with both the decision tree classifier and gradient boosting classifier achieving high F1 scores (0.956522) compared to traditional models (0.454545). This approach can enhance credit officers’ judgment in lending decisions for the Kishan Credit Card scheme in India, offering potential scalability with further robustness testing.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"38 2","pages":"Article 100676"},"PeriodicalIF":1.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148544551","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}
引用次数: 0
Going green–Exports and adoption of green technology in India 走向绿色——印度的出口和绿色技术的采用
IF 1.6
IIMB Management Review Pub Date : 2026-06-01 Epub Date: 2026-05-16 DOI: 10.1016/j.iimb.2026.100673
Shreya Biswas, Sneha Thayyil
{"title":"Going green–Exports and adoption of green technology in India","authors":"Shreya Biswas,&nbsp;Sneha Thayyil","doi":"10.1016/j.iimb.2026.100673","DOIUrl":"10.1016/j.iimb.2026.100673","url":null,"abstract":"<div><div>This study examines the relationship between firm-level exports and adoption of green practices in India. We find that exporting firms are greener, and this greenness tends to increase with export intensity. The relationship is driven by exporting firms in manufacturing industries, in more polluting industries, and having international quality certifications, emphasising the importance of signalling firms’ commitment to sustainable practices. Also, exporting firms in industries that export to countries having superior environmental performance tend to adopt higher green practices, highlighting the role of regulations in trading partner countries. Overall, promoting exports can complement policies directed towards adoption of green practices.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"38 2","pages":"Article 100673"},"PeriodicalIF":1.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148544549","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}
引用次数: 0
Turnover tales: Investigating investor biases through the return−volume dynamics in the Indian stock market 周转故事：通过印度股票市场的回报-成交量动态调查投资者偏见
IF 1.6
IIMB Management Review Pub Date : 2026-06-01 Epub Date: 2026-05-14 DOI: 10.1016/j.iimb.2026.100672
Mirabel Josephine Paul, Madhumathi Rajendran
{"title":"Turnover tales: Investigating investor biases through the return−volume dynamics in the Indian stock market","authors":"Mirabel Josephine Paul,&nbsp;Madhumathi Rajendran","doi":"10.1016/j.iimb.2026.100672","DOIUrl":"10.1016/j.iimb.2026.100672","url":null,"abstract":"<div><div>This study investigates overconfidence and disposition effect biases in the Indian stock market using return−volume relationships as a proxy. Employing vector autoregression and a modified quantile autoregressive model with asymmetric distributed lags, the study examines how behavioural biases vary across trading volume regimes over five years, spanning pre-COVID-19, during COVID-19, and post-COVID-19 crisis periods. Sectoral analysis reveals that overconfidence effects are strongest during high-volume trading in information-intensive sectors such as media and metal, while energy exhibits pronounced loss aversion patterns. Results demonstrate significant evidence of these biases across all periods, with severity influenced by temporal uncertainty, volume-dependent market conditions, information inflow, and increased heuristic usage during market turmoil.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"38 2","pages":"Article 100672"},"PeriodicalIF":1.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148558674","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}
引用次数: 0
Earnings management and cost of newly issued corporate bonds 新发行公司债券的盈余管理与成本
IF 1
IIMB Management Review Pub Date : 2026-03-01 Epub Date: 2026-01-06 DOI: 10.1016/j.iimb.2025.100639
Sowmya Subramaniam , Ranjitha Ajay , Eshan Bhargava
{"title":"Earnings management and cost of newly issued corporate bonds","authors":"Sowmya Subramaniam ,&nbsp;Ranjitha Ajay ,&nbsp;Eshan Bhargava","doi":"10.1016/j.iimb.2025.100639","DOIUrl":"10.1016/j.iimb.2025.100639","url":null,"abstract":"<div><div>The study investigates earnings management through discretionary accruals and real earnings management related to the cost of newly issued corporate bonds in India. It examines this relationship with the tenure of the bond and ownership structure. The study found a positive association between earnings management and the cost of corporate bonds, suggesting that investors charge a high premium for exercising higher degrees of earnings management. Private firms engage more in earnings management than banks and government firms. Firms issuing long-term bonds engage in earnings management practices, as short-term bonds are subject to frequent monitoring by creditors and banks.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"38 1","pages":"Article 100639"},"PeriodicalIF":1.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147570761","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}
引用次数: 0
Integrated programmes versus standalone in higher education: Comparative performance assessment using a natural experiment 高等教育中的综合课程与独立课程：使用自然实验的比较绩效评估
IF 1
IIMB Management Review Pub Date : 2026-03-01 Epub Date: 2025-12-31 DOI: 10.1016/j.iimb.2025.100640
Shivendra Kumar Pandey
{"title":"Integrated programmes versus standalone in higher education: Comparative performance assessment using a natural experiment","authors":"Shivendra Kumar Pandey","doi":"10.1016/j.iimb.2025.100640","DOIUrl":"10.1016/j.iimb.2025.100640","url":null,"abstract":"<div><div>Existing trends indicate that higher educational institutions (HEI) offer integrated programmes – a combination of a baccalaureate with a masters’ degree, for example, BBA and MBA. However, no studies have empirically compared student performances between integrated and standalone programmes. This study compares student performances of an integrated management programme (BBA+MBA) with a standalone MBA programme of an Indian HEI. It utilises data from four years across three courses: controlling for COVID, courses, graduation, stream, experience, and gender. The results indicate that integrated programme students performed better than standalone students in the overall analysis, and across core and elective courses.</div></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"38 1","pages":"Article 100640"},"PeriodicalIF":1.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147570759","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}
引用次数: 0
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