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This paper aims to learn a decision-maker’s (DM’s) decision model that is characterized in terms of the attitudinal character and the attributes weight vector, both of which are specific to the DM. The authors take the learning information in the form of the exemplary preferences, given by a DM. The learning approach is formalized by bringing together the recent research in the choice models and machine learning. The study is validated on a set of 12 benchmark data sets.

The study includes emerging preference learning algorithms.

Learning of a DM’s attitudinal choice model.

Preferences-based learning of a DM’s attitudinal decision model.

This study aims to establish the dynamic relationship between international crude oil prices and Indian stock prices represented by the Bombay Stock Exchange (BSE) energy index.

Using Johansen’s cointegration test, vector error correction (VEC) model, impulse response function and variance decomposition test the study tries to ascertain the short-term and long-term dynamic association between the oil price shock and the movement of stock price and Granger causality test is applied to find out the nature of causality.

Considering vector autoregression estimation, the present study analyzes the relationship between the variables and tries to make a valid conclusion. The result of the co-integration test exhibits the presence of a long-term association between these two macro-economic variables during the period under study. Also, in the short-run VEC Granger causality result reveals that the movement of international crude oil price significantly influences the Indian stock price.

To get a more robust result the study can be further extended by taking a longer time period with data of shorter time-frequency such as daily or weekly and further by using more sophisticated econometric and statistical tools. Further, the study can be extended to firm-level investigation considering the forward trading concentration with the Indian oil basket.

In today’s globalized era, forecasting of share price movement helps investors in predicting the market and invest accordingly. Through this liquidity of the markets enhance and markets become more active in the global arena.

This study represents fresh findings in the changing time period the linkage between crude oil prices and stock prices which are of value to the academicians, researchers, policymakers, investors, market regulators, etc.

The purpose of this study is to explore the linkages between the financial triad of BSE Sensex, crude oil prices and exchange rates in India using annual data.

The analysis uses annual data from 2000–2001 to 2021–2022, which are obtained from secondary sources. To investigate the financial interactions among these variables in India, the methodology uses the vector error correction model (VECM), the Granger causality test, the impulse response function (IRF) and variance decomposition, following Johansen cointegration.

Long-term relationships among variables are disclosed by the cointegration test. The BSE Sensex is significantly influenced by crude oil prices and exchange rates, as indicated by the VECM results. Conversely, the crude oil prices and exchange rates are primarily influenced by their own historical values. The Granger causality tests confirm these findings. Variance decomposition suggests that none of the variables are exogenous in the long term. The IRF results indicate that all variables initially respond positively to shocks from other variables, but these effects diminish over time.

This study established a short-term dynamic between crude oil prices, exchange rates and stock prices, which was previously not found. It also incorporates recent economic events, such as the COVID-19 pandemic and the Russia–Ukraine war, which were previously not included. These insights provide valuable guidance for policymakers and investors. They help in developing strategies to address vulnerabilities caused by external shocks. This reinforces the importance of the study. It also highlights its contribution to the financial domain.

The paper aims at analyzing the co-movements between stock returns and oil prices (West Texas Intermediate, Brent) controlling or not for COVID-19.

It uses continuous wavelet transforms and wavelet coherence over the period July 19, 2019 to August 16, 2021 based on daily data. Continuous wavelet transforms provide an over complete representation of stock returns signals by letting the translation and scale parameters of the wavelets vary continuously.

There are not significant evidence supporting the fact that the COVID-19 has altered the relationship between stock returns and oil prices except perhaps in the case of South Africa. In fact, Southern African Development Community stock markets react more to oil prices than to health shock such as the COVID-19.

The findings of the study are original and have not been published anywhere prior.

There has been a substantial increase in the implementation of programmes that aim to enhance the livelihoods of rural people by organizing them into groups, emphasizing women towards achieving women empowerment, which is one of the key goals of the Sustainable Development Goals (SDGs). This study aims to assess the impact of participation in self-help groups (SHGs) under the National Rural Livelihood Mission (NRLM) on the political empowerment of rural tribal women in India.

This study is based on primary data collected using a multistage random sampling method. Field research is conducted in the state of Jharkhand, primarily focusing on women belonging to the scheduled tribe category. The propensity score matching technique derives the results using the psmatch2 command in STATA.

The results show a significant positive change in women's access to voting rights, awareness of various government schemes and entitlements, political awareness and participation, campaigning during elections and leadership positions after participation in SHGs under NRLM.

The existing literature indicates that research on the empowerment of tribal women through participation in SHGs is scant. This study makes a novel contribution by examining the effectiveness of participation in SHGs under NRLM on the political empowerment of tribal women in rural India. This study will provide significant insights to the government, policymakers, practitioners and researchers working on SHGs and tribal women’s empowerment.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2023-0489

After completion of the case study, the students will be able to assess Paytm’s share buyback in the context of conventional practices, especially for loss-making firms, analyze the influence of initial public offering (IPO) performance on market sentiments and the role of subsequent events in shaping investor confidence, explore the regulatory framework for share buybacks in India and its impact on Paytm’s decision, scrutinize Paytm’s post-IPO financials and evaluate the board’s rationale for the share buyback and examine the factors influencing Paytm shareholders’ decisions amid the buyback, considering market conditions and the company’s outlook.

This case study discusses the unorthodox choice made by Paytm, a leading Indian digital payments and financial services provider, to begin a share repurchase program just one year after its substantial IPO. Paytm encountered difficulties as its stock price experienced a sharp decline of 74% following the IPO, which raised concerns among shareholders and elicited mistrust from analysts. This case study explores the reasoning for the buyback, the legislative framework of share buybacks in India and the diverse viewpoints of analysts regarding the company’s financial strategy. This case study provides not only ample opportunity to discuss ethical issues around managers’ corporate actions but also brings investors a dilemma.

This case study is suited to Master of Business Administration/Master of Science/Bachelor of Business Administration/Bachelor of Science.

Teaching notes are available for educators only.

CSS 1: Accounting and Finance.

The article analyses the current readiness of India to transform its supply chain ecosystem to smarter systems with Fourth Industrial Revolution.

The analysis is carried out in two stages. First, the readiness of India is assessed globally, and then the rate of transformation over the years and supporting policies are analyzed to understand the transformation potential. This analysis is done across nine identified macro factors namely government support, regulations, business environment, human resource, infrastructure, innovation capability, technological advancements, cybersecurity and digital awareness. The study combines empirical data from 2010 onwards with the strategic literature published by government bodies and institutions for analysis.

Results show that India's readiness is just above the global average with a score of 0.44 on a scale of 0–1 (most ready). Government and start-up culture are found to be leading transformation factors, while digital infrastructure, regulations and cybersecurity are most lacking areas.

This study is first of its kind to the best of our knowledge. The academic literature has not reported studies assessing Industry 4.0 readiness of supply chain ecosystem using macro factors for nations.

This study aims to investigate the impact of mandatory corporate social responsibility (CSR) spending legislation on the earnings management strategies of firms.

The authors use panel data regression models to analyze the data for this study. This study covers the post-legislation period, which spans over five years from the financial year ending March 2015 to the financial year ending March 2019.

The results show that firms manipulate accounting measures to avoid breaching the cut-off criteria for mandatory CSR. In particular, the results show that firms operating around the operating revenue threshold misclassify operating revenue as non-operating revenue. In contrast, firms operating around the net worth and net profit thresholds do downward real and accrual earnings management. These results are consistent with several robustness measures.

To the best of the authors’ knowledge, this is the first study that examines the impact of mandatory CSR spending on earnings management.

The purpose of the paper is to conduct a comprehensive bibliometric analysis and systematic review to examine the research landscape of women empowerment through participation in self-help groups (SHGs), identifying the eminent contributors, intellectual communities and future research agenda in the field of SHGs and women empowerment.

The global works of literature related to the theme of SHGs and women empowerment between 1998 and May 6, 2022 were scanned for bibliometric analysis and systematic review. A total of 176 English language documents from the Scopus database were extracted. Bibliometric analysis is conducted using Biblioshiny and VOSviewer software.

This study finds that SHGs are paramount in achieving rural women’s empowerment multidimensionally. Found that India is the most contributing country with 136 documents, and Ranjula Bali Swain and Fan Yang Wallentin are the most cited authors in the research field of SHGs and women empowerment. In addition, the paper proposes a comprehensive conceptual framework to portray rudimentary antecedents of women’s empowerment achieved through participation in SHGs.

This bibliometric analysis, along with a systematic review demonstrating a framework encapsulating the principal dimensions of women empowerment and their indicators, will be helpful to practitioners, government, policymakers and researchers working in the area of SHGs and women empowerment.

This study recognizes numerous significant contributions by eminent scholars and presents a concise review of the literature for novice researchers working in the area of SHGs and women empowerment.