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The increase in automobile usage across the world has fortified the opportunities of maintenance service garages. However, there are significant numbers of challenges in front of maintenance service providers at all stages of the business. This paper identifies, analyzes and prioritizes various challenges associated with the establishment and survival of garages specific to Indian context.

In this paper, challenges for automotive service garage are identified through expert opinion, garage survey and literature. A structural hierarchical framework of the identified challenges is established through structural models, including interpretive structural modeling and analytic hierarchy process.

This paper has identified nine challenges, namely proliferation of new models and variants; technological advancements in automobile systems; demand of better service quality; space and ambience requirements; labor requirements; requirement of modern support equipments, tools and spares; safety requirements and prevention of occupational hazards; environmental norms and concerns; proper documentation requirements. The drivers and dependent variables have been identified. A hierarchical framework of challenges has been established.

This paper provides a comprehensive list of challenges and their priority in establishing an automobile maintenance garage business in Indian context. This will help the budding entrepreneurs and existing maintenance organizations to focus on the challenges that necessitate immediate attention and corrective actions.

This paper provides a significant contribution in the literature of garage maintenance services, which is established on the viewpoint of different collaborators associated with this business. This study will be a foundation to investigate further in this domain.

The purpose of this paper is to develop and test theory-driven hypothesis on trade costs’ effect of logistics performance (LP) and bureaucratic efficiency, primarily from SAARC (South Asian Association for Regional Cooperation) perspective.

The paper develops hypothesis based on the review of the literature and theory linking LP, trade costs and institutions. The authors test the hypothesis using secondary data sources: World Bank-UNESCAP trade costs database, World Bank Logistics Performance Index (LPI) and Political Risk Service's Political Risk Rating. Fixed-effect approach is used to test the hypothesis.

The influential role of bureaucratic quality on relationship between LPI and South Asian trade costs (inter-SAARC and intra-SAARC) is evident. The results also point out that bureaucratic quality also conditions the effect of different dimensions of LPI on South Asian trade costs. Further, it is found that bureaucratic inefficiency mitigates the effects of LPI on South Asia's trade costs with its proximate trading partners APEC (Asia–Pacific Economic Cooperation) and ASEAN (Association of Southeast Asia Nations).

The analysis is conducted using short span of data. With the availability of long span of data, the understanding of the relationship studies in this paper will improve.

The results suggests policymakers to improve bureaucratic efficiency for utilizing the full potential effect of LPI in deceasing trade costs. The study inspires businesses to act and advocate in favor of reforms in governance system.

This paper is among the first, which investigates the possibility that the relationship between LPI and trade costs depends on the bureaucratic efficiency. It provides a more detailed description of the LPI-trade costs relationship.

This paper conducts a meta-analytic review of literature focused on the salient socio-psychological and personality antecedents of luxury purchase intention. It investigates the role of moderators that can assist an effective market segmentation of the luxury market in both emerging and developed economies.

The final analysis includes 95 effect sizes from 42 studies conducted in 15 countries, spanning 5 continents, from 2000 to 2020. The review examined moderating role of Hofstede's cultural dimensions, market type (emerging vs developed) and other study characteristics.

Findings show that socio-psychological antecedents had a more salient role than personality antecedents in driving luxury purchase intention (LPI), across both emerging and developed markets. Normative influence, status consumption and materialism exhibited a stronger influence on LPI in emerging markets than developed markets. Further, stronger effects for normative influence and status consumption on LPI were found in high power distance cultures. The role of seeking uniqueness was more salient and the role of normative influence was less salient in studies with a higher percentage of females. Conspicuous consumption was a stronger driver of LPI for fashion luxury products than other luxury products. The study also proposes distinct definitions of status and conspicuous consumption as there is often theoretical overlap of these constructs in literature.

A meta-analytic review may leave blind-spots due to lack of sufficient number of studies investigating certain theoretically relevant moderators. The authors discuss these gaps, along with study limitations.

To the best of the authors’ knowledge, no previous study has conducted a meta-analytic review of the antecedents and moderators of LPI. With the extension of luxury demand beyond the developed countries in the West to the “new rich” consumers in the East, it becomes imperative to conduct a meta-analysis for a richer understanding of the drivers of luxury demand across different cultural orientations and market segmentations.

This paper aims to endeavour to assess revenue efficiency (RE) scores of Scheduled Commercial Banks operating in India. Differences in RE are studied across varying ownership as well. The study also determines the nature of return to scale of Indian SCBs as whole as well as classified across ownership. Number of banks operating as leaders and laggards has also been calculated.

RE of banks is calculated by using the non-parametric approach, namely, data envelopment analysis (DEA). Further, the differences in the efficiency scores are examined by applying Panel Tobit Regression.

The results of DEA suggest that none of the banks has ever achieved full RE score of 1 in any of the years under study. An inconsistent pattern of RE is seen. Private sector banks have performed better than their counterparts in public and foreign sector. Maximum number of banks operating on decreasing return to scale are from public sector, and the highest number of banks operating on constant return to scale belong to Foreign Sector. More number of banks operates as laggards in the Indian financial system. Thus, there still exists room for improvement for banks in all sectors.

With specific reference to India, less empirical work has been carried out with respect to RE. As only two studies so far from the literature are available that consider RE exclusively, namely, Ram Mohan and Ray (2004) and Bhatia and Mahendru (2015). However, Ram Mohan and Ray (2004) considered only the reformatory phase, whereas Bhatia and Mahendru (2015) analyzed the performance for specific points of time only. None of the study has been able to give any concrete findings according to sector-wise performance of banks in terms of RE parameters.

After working on the assignment questions, the learners can achieve the following learning outcomes: to deliberate on the emerging cloud-based business models in the food-tech sector; to scrutinize the challenges faced by a start-up while selecting an expansion model; and to purpose strategies and solutions for scaling up the business.

Ms Megha Bafna, the founder, conceptualized starting Keep Good Shape (KGS) in the year 2017. She started the business with a seed capital of INR 3,500 (US$54.13) from her savings. The idea stuck to her mind as she was working with a real estate firm, and every day, she packaged salad for her lunch. Bafna thought that if someone makes the salad available, she will buy it. Based on this this unmet need of the consumers, KGS started as a passion in 2017 and became a full-fledged business in 2021 with 400 daily customers and 38 full-time employees. Today, she serves 22 different salads, including customized salads for customers with lifestyle diseases based on a subscription model. She grew her organization using social media tools such as Facebook and WhatsApp without using any traditional promotion tools. COVID-19 pandemic has increased her orders by almost 10% as healthy meals emerged as people’s choice in 2021. In 2021, she has to choose between expansion through cloud-based kitchen business models across India. She has been confused about selecting the suitable cloud-based kitchen business model and contemplating about funding if she has to expand the business.

An instructor can use this case in the courses of entrepreneurship/strategy subject of a graduate/MBA program. The case study sensitizes the students about setting up a new business and organizing to scale it up further.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship

The last two decades have witnessed a substantial increase in the body of research on the theoretical perspective of the performance of international joint ventures (IJVs). However, the evidence on the antecedents of IJVs performance is inconsistent. The purpose of this paper is to critically review the quantitative studies on the antecedents of the performance of IJVs to identify the research gaps in this area and to prepare a future research agenda using the theory, context, characteristics and methodology (TCCM) framework.

Meta-Analysis review is conducted on 97 papers from A*, A and B category journals from the Australian Business Deans Council (ABDC) Journal Quality List.

The results reveal the homogeneity in antecedents such as administrative distance, BOD (board of directors) involvement, resource interdependency, flexibility, learning, competitive overlap, cultural distance, R&D (research and development) intensity, contract, relatedness, the existence of a local IJVs partner, trust, operational experience, partners capability, size asymmetry, goal congruency, capital adequacy, economic distance and heterogeneity in the antecedents such as equity ownership, commitment, control, cooperation and conflict are heterogeneous.

This review seeks to provide deeper insights, which help us to contribute toward the development of the research field of antecedents of the performance of IJVs. The authors have synthesized 97 independent samples with a total sample size of 52,268.

This paper aims to conceptualize ahimsa at the workplace as an alternate coping response to negative workplace behaviours. The response strategy aims to impede conflict escalation and transform a hostile situation into a collaborative one.

The conceptualization of the indigenous construct bases upon Bhawuk's methodological suggestion on building psychological models from the scriptures (Bhawuk, 2010, 2017, 2019). The construct ahimsa explicates by synthesizing the micro-world (Bhagawad Gita, BG and Patanjali Yoga Sutras, PYS) and through the lifeworld of Gandhiji.

The conceptual analysis illustrates the efficacy of ahimsa as an alternate response to negative workplace behaviours. The definition delineates its three core characteristics, i.e. conscious non-violent action, self-empowerment and rehumanizing the perpetrator. Besides, it proposes to enhance metacognition, creativity and individual learning at the workplace.

The conceptual paper gives a new direction to management researchers on coping and responding to stress.

The global economic fallout following the unexpected onset and rapid spread of COVID-19 pandemic worldwide, in early 2020, has necessitated international and national action plans towards new normal models of realignment in enterprise bottom-line and management. In 2020, ‘Supporting Small Business through the COVID-19 Crisis’ was declared the lead theme of the MSME Day – June 27 – by the UN. A ‘COVID Response Alliance for Social Entrepreneurs’ was launched by an affiliate of the World Economic Forum (WEF). Drawing inspiration from the ‘small business’ focus of the UN MSME Day declaration and the ‘social entrepreneurship’ perspective of the WEF, the study seeks to draw few perceptions and conclusions in the post-COVID economic recovery context of India, where Micro, Small and Medium Enterprises (MSMEs) are observed to be a key driver of development, thanks to an add-on supportive package in the wake of the COVID-19 economic crisis. It is found that the package fails to provide a direct push for promotion of social enterprises/entrepreneurship in the Indian MSME sector, as there is no focused policy approach on leveraging ‘entrepreneurship resources’. Hence, the general trend of the sector continues to be dominated by the ‘for-profit first’ concern rather than a fair blend of ‘social value creation first’, with ‘profit’. Discourse on social entrepreneurship and action-oriented rehabilitation tools proposed in the Covid context globally have failed to reorient the dominant outlook of social enterprises in India – business as a tool for achieving social impact – to social impact as a spontaneous/positive outcome from business. The study highlights the lapses on the ground, of theoretical formulations, despite their couching in Covid contexts, and the need for a more institutionalised enabling environment for social value creation, impact investment and social stock exchange in the social enterprise ecosystem.

Human Resource Practices (HRPs) have undergone a revolutionary change, with their practices being more strategic for facilitating the change process. Extant literature studies the impact of Lean Thinking Practices (LTPs) on Organizational Performance (OP). However, the role of HRP as a strategic partner in the inculcation of LTP appears to have been explored sparingly. Hence, this paper aims to identify the specific HRPs that enhance the impact of Lean Thinking on OP.

A cross-sectional survey method was adopted. A total of 528 responses from IT organizations across various levels and processes were collected. The proposed conceptual framework was tested and validated SPSS-Process Macro.

Findings revealed that the presence of HRPs as moderators is significantly impacting the relationship between LTP and OP. LTP when moderated by HRPs significantly impacts employee well-being when compared to other performance variables.

This study is a maiden attempt to study the role of HRP in the inculcation of LTP in IT organizations. Earlier studies, which have mainly concentrated on the need for Human Resource (people) involvement, have spoken and researched less about the specific HRPs in the inculcation of LTP. An empirically validated specific HRP for inculcating LTP in IT organizations is a significant contribution.

Breast cancer (BC) is one of the leading cancer in the world, BC risk has been there for women of the middle age also, it is the malignant tumor. However, identifying BC in the early stage will save most of the women’s life. As there is an advancement in the technology research used Machine Learning (ML) algorithm Random Forest for ranking the feature, Support Vector Machine (SVM), and Naïve Bayes (NB) supervised classifiers for selection of best optimized features and prediction of BC accuracy. The estimation of prediction accuracy has been done by using the dataset Wisconsin Breast Cancer Data from University of California Irvine (UCI) ML repository. To perform all these operation, Anaconda one of the open source distribution of Python has been used. The proposed work resulted in extemporize improvement in the NB and SVM classifier accuracy. The performance evaluation of the proposed model is estimated by using classification accuracy, confusion matrix, mean, standard deviation, variance, and root mean-squared error.

The experimental results shows that 70-30 data split will result in best accuracy. SVM acts as a feature optimizer of 12 best features with the result of 97.66% accuracy and improvement of 1.17% after feature reduction. NB results with feature optimizer 17 of best features with the result of 96.49% accuracy and improvement of 1.17% after feature reduction.

The study shows that proposal model works very effectively as compare to the existing models with respect to accuracy measures.