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The automobile industry in India is one of the sunrise industries and is poised to enhance its contribution from 5 percent of GDP in 2006 to 10 percent by 2016. The auto component industry in India has grown hand in hand with the industry and is in the process of transforming itself from being a “Job order fulfiller” to being an “Integrated organization”. With the liberalization process having started in 1991, most auto component manufacturers in India have chosen the easy path of attempting to progress on operational or manufacturing capabilities. For advancing on technology capability dimension, they mostly relied on international collaborations. The purpose of this paper is to study the strategic technology management (STM) practices in select case organizations in the auto component industry in India.

The methodology employed for this study is a combination of literature survey, expert opinion, comparative case study and a flexible systems methodology, situation‐actor‐process‐learning‐action‐performance analysis. Longitudinal studies of technology development at the two case organizations have been done and the case analysis and synthesis has been developed based on valuable inputs and insights shared by key personnel in the case organizations.

The study finds that two different organizations have adopted different technology strategies. While both case organizations have strong linkage between business and technology strategy, the approach has been reasonably different for technology acquisition and development. The findings suggest that an effective STM can contribute to faster technology absorption and overall business performance. Organizations in India need to develop the in‐house capabilities along with suitable technology acquisitions, wherever required.

The two cases provide valuable insights into STM practices in two organizations and highlight the methodology adopted by the companies in their evolutions toward becoming world‐class integrated organizations. The learning can provide the way forward for capable firms in the auto component industry in India.

This study aims to identify the key enablers for the adoption of Industry 4.0 (I4.0) in the automobile industry of India, which has been severely impacted by COVID-19. Adopting I4.0 will provide organizations greater flexibility and resilience during the COVID-19 pandemic.

Based on the literature review and experts’ opinions, 21 enablers were identified. Further, contextual relationships among the identified factors and a hierarchical digraph was developed by using the total interpretive structural modelling (TISM) technique. Finally, fuzzy cross-impact matrix multiplication applied to classification (MICMAC) analysis was conducted to classify the enablers into different categories based on their dependence and driving power.

The results indicate that top management support, clarity on government policy, strategic vision on I4.0 and development of new industrial policy are the most influential factors, with the highest driving power placed at the bottom of the TISM hierarchical model. Furthermore, agile workforce, smart HR practices and IT standardization and security are identified as linkage enablers with the most driving and dependency power.

The hierarchical TISM model and fuzzy MICMAC approach provide a comprehensive understanding of the I4.0 implementation process through a visual, logical structure to the managers. It will help the researchers and practitioners understand the contextual relationship among various enablers in fostering the I4.0 adoption process and digital reorganization in the automobile industry during the COVID-19 pandemic.

This study provides a holistic TISM hierarchical framework on I4.0 adoption that will elevate the next maturity level of innovation adoption and may act as a blueprint for automobile industries during the COVID-19 pandemic.

The aim of this research is to assess the key enablers of Industry 4.0 (I4.0) in the context of the Indian automobile industry. It is done to apprehend their comparative effect on executing I4.0 concepts and technology in manufacturing industries, in a developing country context. The progression to I4.0 grants the opportunity for manufacturers to harness the benefits of this industry generation.

The literature related to I4.0 has been reviewed for the identification of key enablers of I4.0. The enablers were further verified by academic professionals. Additionally, key executive insights had been revealed by using interpretive structural modelling (ISM) model for the vital enablers unique to the Indian scenario. The authors have also applied MICMAC analysis to group the enablers of I4.0.

The analysis of this study’s data from respondents using ISM provided us with seven levels of enabler framework. This study adds to the existing literature on I4.0 enablers and findings highlight the specificities of the territories in India context. The results show that top management is the major enabler to I4.0 implementation. Infact, it occupies the 7th layer of the ISM framework. Subsequently, government policies enable substantial support to develop smart factories in India.

The findings of this work provide implementers of I4.0 in the automobile industry in the form of a robust framework. This framework can be followed by the automobile sector in enhancing their competency in the competitive market and ultimately provide a positive outcome for the Indian economic development led by these businesses. Furthermore, this work will guide decision-makers in enabling strategic integration of I4.0, opening doors for the development of new business opportunities as well.

The study proposes a framework for Indian automobile industries. The automobile sector was chosen for this study as it covers a large percentage of the market share of the manufacturing industry in India. The existing literature does not address the broader picture of I4.0 and most papers do not provide validation of the data collected. This study thus addresses this research gap.

Global value changes continued to expand until the late 2000s. On the other hand, regional value chains have formed around major regional hubs due to the expansion of domestic demand in emerging economies, such as China, and strengthened trade protectionism since the global financial crisis. Such changes lead to the reorganisation of value chains, focusing on domestic markets (reshoring) or neighbouring countries (nearshoring). In particular, the importance of supply chain risk management has been highlighted following disruptions to the supply network due to the COVID-19 outbreak in December 2019. In this regard, major countries such as the USA and the EU are rapidly shifting to regional value chains for stable and sustainable production, rather than primarily aiming for production efficiency targeted at reducing costs. Industries in particular are more exposed to such supply chain risks under the existing structure and it now has become extremely important for businesses to take reaction to such risks. This is especially important for major industries in a country such as automobile or semiconductor manufacturing industries in South Korea. The aim of this study, therefore, is to establish the basis for the simultaneous growth of ports and linked industries by examining the existing structure of the global value chain for the automotive industry, which has a strong presence in South Korea’s domestic economy. In this regard, this research carries out a supply chain analysis focusing on the imports and exports of automotive parts. It also analyses the current structural risks and suggests risk management measures to secure a stable supply chain.

This paper aims to present strategic performance management modeling of the Indian automobile manufacturing enterprises. This will help to understand the hierarchical structure and linkages of different strategic factors related to enterprise performance in a better way. Automobile manufacturing industry is one of the top industries in India. It is of paramount importance to identify the strategic factors and their linkages to understand the strategic performance management issues better.

Flexible strategy game-card, an evolving performance management framework, has been taken as the basis for the development of a strategic performance management model. Thematic content analysis is used to analyze semi-structured interviews and for identifying strategic factors related to performance. Total interpretive structural modeling (TISM) is used to develop the hierarchical structure of these performance strategic factors. Case-lets and statistical analysis are used to further validate these models.

The study proposes a strategic performance management model for Indian automobile enterprises that can be considered as a conceptual framework which helps to identify the leading and lagging factors of performance. This can be considered as an exploratory study for conceptualization and can be further validated through empirical testing.

The research methodology adopted here gives a guideline to researchers for conducting an exploratory study where they can identify the factors/variables of interest through semi-structured interviews and thematic content analysis. The TISM helps to develop the poorly articulated mental model in a well-structured hierarchical form, which would help to get more insights in relation to performance.

The study fills the gaps by addressing the issue of performance in the Indian context by identifying strategic performance factors for automobile enterprises. There is an attempt to demonstrate the application of an evolving performance management framework, i.e. flexible strategy game-card. The methodological rigor and application of mixed methods adds value to the knowledge base by providing a mechanism to conduct an exploratory study for the area of interest.

This paper aims to present existence comprehensive analysis of state of implementation of benchmarking concepts in Indian automotive companies.

The research is carried out through a mixed method of research approach comprising of a survey of 300 auto companies in India. Out of 300, 48 valid responses together with three additional case studies were used in the data analysis. Inclusion of case studies was aspired to get deeper insight into the issues pertaining to adoption of best practices, and subsequently the implementation of benchmarking activities.

Benchmarking has been unanimously accepted as an effective performance and productivity improvement tool by Indian auto companies. However, Indian automobile manufacturers still see benchmarking as a tool to compare product attributes, quality attributes, operations, and processes. Moreover, it has been perceived as being less applicable at strategic level. Results also show that benchmarking is in its primary stage in the Indian automotive industry, and it still needs much more commitment from top management for its proliferation. Lesser significance is given to competitor benchmarking due to the fear of losing competitive advantage, and the problem of confidentiality. Reasons identified in this study for not using benchmarking include “lack of human resources” as most important, followed by “financial constraints”, and “lack of internal expertise”.

Research results should be generalized and reproduced with a larger sample size. Owing to the scarce application of benchmarking in small and medium enterprises (SMEs), separate study should be carried out to find ways to encourage benchmarking implementation in Indian auto component manufacturing SMEs.

The paper provides insight into the extent of implementation of benchmarking concepts in Indian automobile industry. This study is the first attempt to understand propagation of benchmarking concepts, exclusively among Indian auto companies.

The arrival of global manufacturers has brought about new challenges such as environmental concerns and sustainability of supply chains. The purpose of this paper is to identify implementation level, major drivers, various practices and performance of environmentally and socially‐conscious supply chain management (SCM) in the context of the automobile industry in India.

The literature is reviewed to understand various challenges/barriers to the adoption of green supply chain management (GSCM) practices; statistical analysis of various drivers, practices and performance of environmentally and socially conscious supply chain is carried out in the case of an automobile cluster in central India. Personal interviews are conducted and a structured questionnaire is used for data collection from 30 organizations including original equipment manufacturers, first‐ and second‐tier suppliers.

Environmentally and socially responsive supply chains are in the early adoption stages in India. Companies studied in the auto cluster are not adequately addressing these measures in supply chain design and operations; though awareness and inclination to adopt has been on the rise – actual implementation lacks a holistic approach.

Investigation of GSCM along with social concerns is rarely done in the Indian context. This paper will offer valuable insights for managers in understanding the consequences of non‐compliance, especially with the Indian automobile industry recently becoming global.

The purpose of this paper is to develop an instrument/questionnaire to assess the supplier evaluation (SE) criteria and supplier selection (SS) benefits with their level of importance.

This paper develops an instrument/questionnaire based on generally accepted principle of instrument design to assess the SE criteria and SS benefits through the responses collected from 34 automobile industries in India. The SE criteria and SS benefits were derived through extensive literature review and expert’s opinion.

The reliability, normality and validity of developed instrument/questionnaire were determined through the responses collected from the managers of 34 automobile industries in India and are found to be acceptable for most of the SE criteria and SS benefits. The criterion validity is also found to be fairly good for the developed instrument/questionnaire.

While designing the instrument/questionnaire, SE criteria and SS benefits were considered for automobile sector in India through prequestionnaire sheet. Further, research may be required to corroborate these results from larger data sets.

Now a days, it is essential for organizations to rely on their suppliers for their survival and to gain competitive advantage. The well developed and validated instrument/questionnaire can be used for industry practitioners in Indian automobile industries to assess the SE criteria and SS benefits.

An empirically tested instrument/questionnaire is developed first time to assess the SE criteria and SS benefits for automobile sector in India.

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.

In today’s highly competitive business scenario, advertising symbolizes one of the key marketing activities. The purpose of this paper is to understand the relationship between advertisement effectiveness and consumer buying behavior for major automobile companies of central India.

A judicious mix of qualitative (focus group and Delphi technique) and quantitative (structured questionnaire survey) research methods was used for the present study.

Study found that for automobile sector, effective advertisements have a positive impact on consumer buying behavior. It suggests that customer’s attitude can be shaped favorably through effective advertising. Automobile companies must arrange special training sessions and learning programs for their sales force to ensure supportive customer purchasing behavior.

The scope of the present study is limited to major automobile companies of central India only. Although, the findings can be interpreted and generalized in a global business scenario.

The research work is first of its kind that attempts to study the impact of effective advertising on consumer buying behavior in Indian automobile context. The findings and recommendations can be used for strategic planning of training sessions and workshops for different stakeholders in automobile industry.