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The study aims to address the limited understanding on the role of cognitive mechanisms in workplace ostracism (WO) and negative workplace behaviours (such as counterproductive workplace behaviours (CWBs)) relation. Although the affective routes of this relationship have been extensively studied, the role of cognitive routes remains largely unexplored.

A parallel mediation model was developed to study the affective (emotional exhaustion) and the cognitive (felt accountability) mechanisms within the WO and CWBs relation. Regulatory focus theory was used to explain how these routes may influence CWB. Data for the study were gathered cross-sectionally, with common method bias checks. We analysed through Smart PLS for the measurement model and SPSS Hayes PROCESS macros for the structural model.

Study results corroborated the proposed model on the salience of the newly proposed cognitive pathway in relation to the affective route of the WO–CWB model.

This research underscores a novel cognitive pathway, felt accountability, in the WO–WB relation, expanding upon the predominantly affective-focused extant literature. Furthermore, the study outlines both theoretical and practical implications, along with highlighting limitations and potential directions for future inquiries.

The case illustrates the challenges of managing JVs in emerging markets. specifically, after going through the case, students should be able to: i.Analyze the contexts in which firms need to form JVs and evaluate this need in the context of emerging markets such as India; ii.Understand how multinational corporations can achieve success in emerging markets, specifically the role of strategic (broader than the product) adaptation in success; iii.Evaluate the impact of conflict between partners on the short-term and long-term performance of a JV; and iv.Create alternatives, evaluate each alternative’s pros and cons, and recommend appropriate decisions to address the situation after a JV unravels and the organization is faced with quality and other challenges.

McDonald’s, the global giant in the quick service industry, entered India in 1993 and formed two JVs in 1995 one with Vikram Bakshi (Connaught Plaza Restaurants Ltd or CPRL) to own and operate stores in the northern and eastern zones, and another with Amit Jatia (Hardcastle Restaurants Private Limited or HRPL) to own and operate stores in the western and southern zones. Over the next 12 years, both the JVs made steady progress by opening new stores while also achieving better store-level metrics. Though CPRL was ahead of HRPL in terms of the number of stores and total revenues earned in 2008, the year marked the beginning of a long-running dispute between the two partners in CPRL, Bakshi and McDonald’s. Over the next 11 years, Bakshi and McDonald’s tried to block each other, filed court cases against each other and also exchanged recriminations in media. The feud hurt the performance of CPRL, which fell behind HRPL in terms of growth and other metrics. On May 9, 2019, the feuding partners reached an out-of-court settlement under which McDonald’s would buy out Bakshi’s shares in CPRL, thus making CPRL a subsidiary. Robert Hunghanfoo, who had been appointed head of CPRL after Bakshi’s exit, announced a temporary shutdown of McDonald’s stores to take stock of the current situation. He had to make a number of critical decisions that would impact the company’s performance in the long-term.

MBA, Executive MBA and executive development programs.

Teaching Notes are available for educators only.

CSS 11: Strategy.

After completion of the case study, students will be able to understand key stakeholders’ current and future role in a family business using techniques like Gersick 3 Axes Model, understand the power dynamics in a family business, understand the power struggles seen in the family business and understand the challenges in the implementation of a deed of family settlement (DFS) with multiple stakeholders.

Kirloskar group was established in 1888 by Laxmanrao Kirloskar. He started with farm manufacturing equipment and later diversified into various kinds of engine manufacturing units. Kirloskar Group today is an Indian conglomerate multinational company with its headquarters in Pune, Maharashtra; India exports to more than 70 countries, most of which are from Africa, Southeast Asia and Europe. The group was managed as a cohesive unit until Chandrakant Kirloskar was at the helm as the chairman. Each brother’s family was managing a business and companies in the fold in which they started. The Kirloskar Group had first split in 2000 when Bengaluru-based Vijay Kirloskar (Ravindra Kirloskar’s son, fourth son of Laxmanrao Kirloskar) moved out of the group with Kirloskar Electrical while the Pune-based Kirloskar brothers moved out with Kirloskar Oil Engine Engines, Kirloskar Brothers, Kirloskar Pneumatics and related subsidiaries. In 2009, a DFS was signed among the family members, including a noncompete clause against each other regarding the usage of the Kirloskar brand name and the tagline “Kirloskar Enriching Lives.” The current dispute started in 2020 when first Vijay filed a suit against his nephews regarding illegal usage of the Kirloskar brand name for the companies not eligible to use it and second when Sanjay Kirloskar also filed a similar lawsuit against his brothers for illegally using the brand name and violating the noncompete clause. The high court, in its judgment, sent the case for arbitration, but Sanjay approached the Supreme Court of India regarding the stipulated arbitration process. With both sides taking a hard stance, there did not seem to be a quick resolution to this dispute.

This case study is suitable for both undergraduate and postgraduate level in entrepreneurship course and family business course.

CSS 3: Entrepreneurship

Teaching notes are available for educators only.

The purpose of this paper is to examine the impact of user gender, celebrity gender, and celebrity-user gender congruity on celebrity personality-user personality (CP-UP) congruity, and consequently, brand purchase intention (BPI). Additionally, it delves into the mediating roles of CP-UP congruity and brand personality-celebrity personality (BP-CP) congruity.

A survey research entailing a sample of 709 adult consumers was used to test the framed hypotheses by means of a structural equation modelling.

The results indicate that while celebrity and user gender have a significant positive effect on CP-UP congruity, celebrity-user gender congruity has a negative effect. The study shows a partial mediation of CP-UP congruity in the relationship between gender congruity and BP-CP congruity. Furthermore, BP-CP congruity is shown to have a full mediation effect on the relationship between CP-UP congruity and BPI.

Consistency of the results of this study may be corroborated by employing other methods to estimate congruity scores. Also, the results of the present study may not be generalisable across different product classes with varied consumer involvement.

The findings have major implications for practitioners in understanding the significance of BP-CP congruity among celebrity-user-brand in the formation of purchasing intentions. The results of the study suggest a better CP-UP congruity when the gender of the celebrity is opposite to the gender of the user. This result questions the generalisability of the similarity theory that exhorts a prospect’s customary identification with a spokesperson of her/his own sex and further reinforces the selectivity hypothesis that indicates different information processing of males and females while they make judgements. Therefore, it might be a good idea for advertisers targeting female audiences to employ male celebrities in certain endorsements.

This is the first study that tests for the mediation effect of CP-UP congruity in the relationship between gender congruity and BP-CP congruity, and that of BP-CP congruity in the relationship between CP-UP congruity and BPI.

This paper aims to study the origin story of Harvard Business School’s involvement with the Indian Institute of Management Ahmedabad to study the reasons for the spread of American management education. It introduces both the explicit influence of Cold War politics and Indian development imaginaries to the export of American management thought in the early 1960s.

This paper relies on archival research for its primary source material, drawing upon rich archives of documents found at the Baker Library of Harvard Business School.

Harvard’s role in Ahmedabad was explicitly influenced by the Cold War anti-communist foreign policy of the USA, but did so opportunistically and contrary to the Ford Foundation’s (FF) original plans. Vikram Sarabhai, who was a key player in the Indian national imaginary of development, invited Harvard on his own initiative and forced the foundation to follow his interests rather than being a mere “subaltern.”

This paper could additionally add to the historical debate about the scope and periodization of the Cold War and the role of non-state actors.

This paper covers new ground in exploring the early connection between the Indian development imaginary and business education. It concludes that the export of hegemonic US management education was not successful during Cold War, and the FF was not as dominant as it was made out to be.

The purpose of this study is to monitor suspended particulate matter (SPM), PM2.5 and source apportionment study for the identification of possible sources during the year 2018–2019 at Raipur, India.

Source apportionment study was performed using a multivariate receptor model, positive matrix factorization (PMFv5.0) with a view to identify the various possible sources of particulate matter in the area. Back-trajectory analysis was also performed using NOAA-HYSPLIT model to understand the origin and trans-boundary movement of air mass over the sampling location.

Daily average SPM and PM2.5 aerosols mass concentration was found to be 377.19 ± 157.24 µg/m³ and 126.39 ± 37.77 µg/m³ respectively. SPM and PM2.5 mass concentrations showed distinct seasonal cycle; SPM – (Winter ; 377.19 ±157.25 µg/m?) > (Summer; 283.57 ±93.18 µg/m?) > (Monsoon; 33.20 ±16.32 µg/m?) and PM2.5 – (Winter; 126.39±37.77 µg/m³) > (Summer; 75.92±12.28 µg/m³). Source apportionment model (PMF) have been applied and identified five major sources contributing the pollution; steel production and industry (68%), vehicular and re-suspended road dust (10.1%), heavy oil combustion (10.1%), tire wear and brake wear/abrasion (8%) and crustal/Earth crust (3.7%). Industrial activities have been identified as major contributing factor for air quality degradation in the region.

Chemical characterization of aerosols and identification of possible sources will be helpful in abatement of pollution and framing mitigating strategies. It will also help in standardization of global climate model.

The findings provide valuable results to be considered for controlling air pollution in the region.

Tribological research is complex and multidisciplinary, with many parameters to consider. As traditional experimentation is time-consuming and expensive due to the complexity of tribological systems, researchers tend to use quantitative and qualitative analysis to monitor critical parameters and material characterization to explain observed dependencies. In this regard, numerical modeling and simulation offers a cost-effective alternative to physical experimentation but must be validated with limited testing. This paper aims to highlight advances in numerical modeling as they relate to the field of tribology.

This study performed an in-depth literature review for the field of modeling and simulation as it relates to tribology. The authors initially looked at the application of foundational studies (e.g. Stribeck) to understand the gaps in the current knowledge set. The authors then evaluated a number of modern developments related to contact mechanics, surface roughness, tribofilm formation and fluid-film layers. In particular, it looked at key fields driving tribology models including nanoparticle research and prosthetics. The study then sought out to understand the future trends in this research field.

The field of tribology, numerical modeling has shown to be a powerful tool, which is both time- and cost-effective when compared to standard bench testing. The characterization of tribological systems of interest fundamentally stems from the lubrication regimes designated in the Stribeck curve. The prediction of tribofilm formation, film thickness variation, fluid properties, asperity contact and surface deformation as well as the continuously changing interactions between such parameters is an essential challenge for proper modeling.

This paper highlights the major numerical modeling achievements in various disciplines and discusses their efficacy, assumptions and limitations in tribology research.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-03-2023-0076/

This paper proposes a class of estimators for population correlation coefficient when information about the population mean and population variance of one of the variables is not available but information about these parameters of another variable (auxiliary) is available, in two phase sampling and analyzes its properties. Optimum estimator in the class is identified with its variance formula. The estimators of the class involve unknown constants whose optimum values depend on unknown population parameters. In earlier research it has been shown that when these population parameters are replaced by their consistent estimates the resulting class of estimators has the same asymptotic variance as that of optimum estimator. An empirical study is carried out to demonstrate the performance of the constructed estimators.

Recently, blockchain technology (BT) has resolved healthcare data management challenges. It helps healthcare providers automate medical records and mining to aid in data sharing and making more accurate diagnoses. This paper attempts to identify the critical success factors (CSFs) for successfully implementing BT in healthcare.

The paper is methodologically structured in four phases. The first phase leads to identifying success factors by reviewing the extant literature. In the second phase, expert opinions were solicited to authenticate the critical success factors required to implement BT in the healthcare sector. Decision Making Trial and Evaluation Laboratory (DEMATEL) method was employed to find the cause-and-effect relationship among the third phase’s critical success factors. In phase 4, the authors resort to validating the final results and findings.

Based on the analysis, 21 CSFs were identified and grouped under six dimensions. After applying the DEMATEL technique, nine factors belong to the causal group, and the remaining 12 factors fall under the effect group. The top three influencing factors of blockchain technology implementation in the healthcare ecosystem are data transparency, track and traceability and government support, whereas; implementation cost was the least influential.

This study provides a roadmap and may facilitate healthcare professionals to overcome contemporary challenges with the help of BT.