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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.

This empirical study explores the intricate relationships between Industry 4.0 (I4), Lean practices and sustainable operational performance (SOP) within the dynamic context of the services sector. Rooted in the theoretical framework of Resource Orchestration Theory (ROT), the research investigates the nuanced interplay between these paradigms and their collective impact on firm performance.

The research methods included creation of a structural model, hypothesis formulation and advanced data analysis. Primary data were gathered through an online questionnaire distributed among service sector professionals. Analysis was completed using Partial Least Squares (PLS) Structural Equation Modeling (SEM) using the Smart-PLS software.

The results underscore the mediating role of Lean practices between I4 and SOP, emphasizing the imperative of harmonized integration to enhance overall firm performance. In alignment with ROT principles, the study illuminates the positive influence of Lean practices on sustainable operational outcomes.

The study contributes to the scholarly discourse on I4, Lean and Services, emphasizing the strategic necessity of integrating I4 capabilities with Lean practices. Practical insights guide practitioners in orchestrating a balanced adoption of I4 and Lean practices for SOP. This research offers actionable insights for industry leaders seeking to cultivate SOP within their organizational contexts.

This study contributes to the evolving understanding of the interplay between I4, Lean practices and SOP within the services sector, offering novel insights for both academia and industry practitioners.

The purpose of our research on blockchain technology is to unveil its immense potential, understand its applications and implications and identify opportunities to revolutionize existing systems and processes. This research aims to inspire the creation of new innovative solutions for industries. By harnessing blockchain technology, organizations can pinpoint key areas that could significantly benefit from its use, such as streamlining operations, providing secure and transparent digital solutions and fortifying data security.

This study presents a robust multi-criteria decision-making framework for assessing blockchain drivers in selected Indian industries. We initiated with an extensive literature review to identify potential drivers. We then sought the opinions of experts in the field to validate and refine our list. This meticulous process led us to identify 26 drivers, which we categorized into five main categories. Finally, we employed the Best-Worst Method to determine the relative importance of each criterion, ensuring a comprehensive and reliable assessment.

The authors have ranked the blockchain drivers based on their degree of importance using the Best-Worst Method. This study reveals the priority of BC implementation, with the retail industry identified as the most in need, followed by the Banking and Healthcare industries. Various critical factors are identified where blockchain technology could help reduce costs, increase efficiency and enable new innovative business models.

While this study acknowledges potential bias in driver assessment relying on literature and expert opinions, its findings carry significant practical implications. We have identified key areas where blockchain technology could be transformative by focusing on select industries. Future research should encompass other industries and real-world case studies for practical insights that could delve into the adoption challenges and benefits of blockchain technology in many other industries, thereby amplifying the relevance of our findings.

Blockchain is a groundbreaking, innovative technology with immense potential to revolutionize industries. Past research has explored the benefits and challenges of blockchain implementation in specific industries or sectors. This creates a gap in research regarding systematically classifying and ranking the importance of blockchain across different Indian industries. Our research seeks to address this gap by using advanced multi-criteria decision-making techniques. We aim to provide a comprehensive understanding of the significance of blockchain technology in critical Indian industries, offering valuable insights that can inform strategic decision-making and drive innovation in the country’s business landscape.

This paper analyzes the impact of the perceived ability motivation opportunity (AMO) framework on talent retention via employee engagement, which act as a mediator. Moreover, the study also explores the moderating role of transformational leadership between employee engagement and talent retention.

The survey responses were gathered from 360 frontline employees of five-star hotels in the Indian hospitality industry. Structural equation modeling using SMART PLS-4 was used to test the measurement model, construct reliability and validity, and hypotheses were tested using partial-least square structural equation modeling.

The study results demonstrate that AMO-enhancing HR practices positively affect talent retention. Concerning the indirect effects, results indicate that employee engagement partially mediates the relationship between the perceived AMO framework and talent retention. The moderating effect of transformational leadership on the relationship between employee engagement and talent retention showed a significant interaction effect.

The study results suggest that hospitality organizations must focus on effectively designing and implementing HRM bundles catering to their employees’ abilities, motivation and desired opportunities. Also, industrial practitioners must focus on nurturing the transformational leadership style to ensure higher employee engagement and talent retention.

The paper offers significant implications for the hospitality industry struggling to retain talented professionals. Also, the study provides a comprehensive framework that suggests a positive influence of the AMO framework on talent retention among hospitality employees in the context of developing countries, in which there is minimal empirical research.

This study aims to conduct a rigorous bibliometric analysis of impulse buying research trends and patterns, map the conceptual landscape of the field, identify significant themes and propose a roadmap for future studies in this domain.

This study used Snyder’s (2019) four-step systematic review approach. By using a specific search string, articles from the past 21 years (2003–2023) were retrieved from the Scopus and Web of Science databases. Performance analysis and science mapping were conducted using Biblioshiny to analyze the field’s knowledge base.

The volume and influence of impulse buying research have surged over the past two decades. The factorial analysis identified three main sub-themes within the impulse buying literature. In addition, Bradford’s law confirmed that the top five journals account for a significant portion of the relevant research. Despite the increased publications, author productivity diverges from Lotka’s law, indicating a few influential authors. This study provides a detailed conceptual map of the research landscape and proposes targeted future research questions by highlighting untapped opportunities.

This study offers insights for refining marketing strategies and highlights the importance of ethical considerations in marketing, especially during crises. It also strengthens the theoretical foundation of impulse buying by mapping core themes and identifying unexplored areas.

This study introduces an innovative approach by using factorial analysis with the multiple correspondence analysis technique to develop a detailed conceptual structure map of impulse buying research. It applies bibliometric laws such as Bradford’s law and Lotka’s law to explain the dispersion of research articles. By identifying core themes, this study charts a roadmap for future inquiry, addressing significant gaps and uncovering new research directions.

This study aims to focus on understanding the work–family conflict of Indian women engineers through the lens of identity conflict.

Semi-structured interviews conducted with 20 Indian women engineers working in India and abroad of varying ages and work experience helped in understanding the types, sources and coping decisions about work–family conflicts experienced by them. Thematic analysis was conducted to analyse the qualitative data.

The findings reveal that as women engineers negotiate their “engineering” and “woman” identities, work–family conflict manifests as a battle of time and responsibilities, psychological strain and behaviour-based conflict. Furthermore, self-expectations and negative social sanctions play an important role in augmenting the experiences of these conflicts. The results also reveal how women re-strategize their career decisions to conciliate their conflicting identities.

This study furthers the literature on resolving work–family conflict by taking an identity perspective. Recommendations in literature such as work flexibility and part-time work, place the onus on women to increase their capacities to perform different roles better. Examining work–family conflict from an identity perspective allows us to look at the psychological processes underlying the challenges women face in balancing work and home in a male-dominated profession. These give insights into the need to go beyond accommodations in the workplace to redefine gender roles and relations for equal participation of women in the modern workforce.

The impact of digitalisation on smaller firms remains sparsely studied across emerging economies. The paper aims to examine the relationship between digital adoption and multiple performance parameters of micro, small and medium enterprises (MSME) in a prominent emerging economy.

The study employs data from the World Bank Enterprise Survey (WBES) 2022, capturing 9,024 Indian MSME firms spread across the country. Performance indicators are derived from growth in sales, employment and labour productivity (LPROD). Multiple regression estimates are derived that also correct for sample selection bias using Heckman’s two-step process.

Digital proliferation is found to increase as firms mature up in terms of age, size and constitution. A significant difference could also be observed in business performance across digital and non-digital businesses, with sales growth (SG) and productivity higher for digital firms. Digital financial variables are found to have a significant impact on SG but not as much in the case of employment growth and LPROD. The results are robust to correction for sample selection bias in digital adoption using inverse mills ratio (IMR).

The study highlights digital adoption gaps across various strata of MSMEs, highlighting lower adoption when firms are younger, smaller and lacking formal constitutional setup. Digital variables indicating positive association with SG highlight the need for concerted efforts at the public policy level for building appropriate skills and infrastructure for micro and small enterprises to boost their digital adoption to promote growth.

There is a lack of micro-level empirical evidence measuring the impact of advanced digital technology usage on multiple aspects of enterprise performance amongst micro and small firms. The study deploys unique digital variables including TReDS and use of online credit applications to assess the impact on business performance. The findings provide insights for practice and public policy, besides making the case for a higher focus on launching digital initiatives for smaller enterprises.

This bibliometric study aims to analyze publication trends, active countries, collaborations, influential citations and thematic evolution in learning analytics (LA) research focused on higher education (HE) during and after the COVID-19 lockdown period.

From the Scopus database, this bibliometric analysis extracts and evaluates 609 scholarly articles on LA in HE starting in 2019. The multidimensional process identifies the scope impacts, advancing the understanding of LA in HE. An analysis of co-citation data uncovers the key influences that have shaped the literature. This study uses the stimulus-organism-response (SOR) theory to suggest future research directions and organizational adaptations to new LA technologies and learner responses to LA-enabled personalized interventions.

Learning analytics are becoming important in the HE environment during and after the COVID-19 lockout. Institutions have used LA to collect socio-technical data from digital platforms, giving them important insights into learning processes and systems. The data gathered through LA has assisted in identifying areas for development, opening the path for improved student success and academic performance evaluation and helping students transition to the workforce.

The study’s concentration on the post-COVID-19 timeframe may lead to paying attention to potential pandemic developments. Nonetheless, the findings provide a thorough picture of LA’s contributions to HE and valuable ideas for future study initiatives. Future research with the SOR framework suggests areas for additional study to maximize LA’s potential in diverse HE situations.

This study adds to the growing corpus of knowledge on learning analytics in HE, especially in light of the COVID-19 lockdown and its aftermath. By using bibliometric analysis, the study provides a complete and evidence-based understanding of how LA has been used to address challenges related to HE. This study uses bibliometric analysis and SOR theory to appraise and map HE learning analytics research. The selected study themes can help scholars, educators and institutions shape their future efforts to improve teaching, learning and support mechanisms through learning analytics.

This study focuses on the work from home experiences of professional, middle and upper middle class married women with children in India during the COVID-19-induced lockdowns. This study aims to examine the experiences of changing nature of work and gendered realities of work–life balance for working mothers while working from home during the pandemic.

Semi-structured interviews were conducted with eight working mothers at three different time points during the lockdown in the city of Hyderabad in India.

A thematic analysis revealed changed work practices that required adapting, reinventing and reimagining new ways of working. This was time consuming albeit a satisfying experience for working mothers. At the same time, the blurring between home and work meant working mothers were operating without an off button.

The findings show that the existing gender inequalities in sharing the domestic burden unravelled fast in the absence of support structures.

The authors give voice to the lived experiences of working mothers of managing both work and home and how they navigated challenges during the lockdown.