Indian Automotive Industry Research Articles

From intentions to action: how behavioural intentions shape employee performance through digital learning?

PurposeThis study aims to explore the impact of “Performance Expectancy” (PE) on the performance of Indian automotive manufacturing employees through their “Behavioural Intention” (BI) in the context of digital learning within the volatile, uncertain, complex and ambiguous (VUCA) world.Design/methodology/approachA descriptive research design was adopted to gather data from 211 employees of Indian automotive manufacturing companies. Structural equation modelling was applied for data analysis and obtaining results.FindingsLargely, the findings indicate that BI does mediate the relationship between PE and employee performance (EP) in the context of the Indian automotive manufacturing sector. The findings would help in boosting digital learning initiatives, improving EP and fostering organizational success in the VUCA world.Research limitations/implicationsThe current study focused on the Indian manufacturing industry. Extending the research beyond the manufacturing sector to other industries in India could possibly help in generalizing the findings, and thereby enhance knowledge of the broader consequences of digital learning on EP.Practical implicationsDigital learning platforms can enhance sustainable industrialization in the manufacturing sector by providing employees with access to digital learning opportunities. Managers must provide employees with access to digital learning opportunities for making them more creative and innovative, so that they can become real change agents, and can handle real-world problems more efficiently, leading the organization to deal with the complexities and unpredictability in this VUCA world.Originality/valueWithin the ambits of Indian automotive manufacturing organizations, there have been limited research studies that have used two constructs of the UTAUT2 framework to see their impact on EP in terms of digital learning. Thus, based on the limited information available, this research stands as a pioneering effort in the realm of digital learning within the Indian automotive manufacturing industry, where the relationship between PE and EP is examined through the mediational role of BI of employees. Moreover, this research possibly would pave the way for further research studies on exploring the role of potential factors influencing the strength and direction of the relationships between these variables (PE and EP).

Human Skills in the Era of Industry 4.0 in the Indian Automotive Industry

The advent of Industry 4.0 in the automotive sector has transformed the work environment, emphasising a technology-driven and digitised landscape. This has led to uncertainties regarding the skills required for future jobs. A qualitative exploration was undertaken through in-depth interviews with 44 industry respondents, employing a case study design. Thematic analysis was utilised for data analysis. The research reveals an amplified demand for human skills, emphasising traits such as empathy, problem-solving, communication, collaboration, resilience, quick decision-making, critical thinking and adaptability. The study found that integrating technology has further elevated the demand for human skills, highlighting their importance in the Indian automotive industry.

ESG and Firm Value Linkage: A Case Study in the Automotive Industry

Environmental, social, and governance (ESG) performance and firm value are under scrutiny in this study, examining the impact of ESG factors on financial metrics. A survey was conducted, and the questionnaire was distributed to stakeholders within the automotive industry in India. Statistical analyses, including regression and correlation techniques, were employed to ascertain the connections between firm value and ESG performance. Strong correlations between ESG performance and financial indicators were observed. The findings underscore the significance of social responsibility practices in enhancing a company's trustworthiness, fostering trust among stakeholders, and maintaining long-term competitiveness. Furthermore, the study illustrates the integration of environmentally friendly business methods within the automotive industry. It emphasizes the importance of aligning ESG practices and social responsibility objectives with financial performance goals.

Does blockchain technology matter for supply chain resilience in dynamic environments? The role of supply chain integration.

This study aims to empirically investigate the effect of blockchain technology (BCT) adoption on supply chain resilience (SCR), with the mediating role of supply chain integration (SCI) and the crucial effect of environmental dynamism (ED) as a moderator. Based on data collected from firms operating in the automotive industry in India, the proposed model was tested using Partial Least Squares Structural Equations Modelling (PLS-SEM) via SmartPLS software. The empirical results showed a positive effect of BCT on SCI, which in turn affects SCR. Importantly, SCI acts as a full mediator in the BCT-SCR relationship, which is moderated by ED, that is, the effect of BCT on SCR via SCI is strong when ED is high. This study offers the groundwork for operationalizing BCT in a supply chain context. It also contributes to SCR research by investigating how SCI mediates the effect of BCT on SCR. In addition, this study found a moderating effect of ED on the relationship between BCT and SCI. These results provide insights to auto manufacturers on ways to enhance SCR and ensure safe supply chain operations.

Financial gains through digital transformation in the Indian automotive industry: A focus on TATA motors Ltd.

Financial gains through digital transformation in the Indian automotive industry: A focus on TATA motors Ltd.

An Exploratory Study on the Impact on Marketing Techniques and other factors in the growth of the Indian automotive industry

The Indian automobile industry has traversed a huge space since India attained independence. Since 1991 there has been a tremendous change with respect to foreign direct investment in this industry. The result of this is that the industry has become competitive for domestic demand with respect to high level of quality at affordable price. This has resulted in increase in exports as well as the industry becoming an integral part of the global value chain.

Assessment of the readiness and maturity for Industry 4.0 adoption in Indian automobile industries

Purpose: This paper addresses the urgent need to comprehensively assess the preparedness of the Indian automobile industry for adopting Industry 4.0 technologies, a critical imperative for sustaining global competitiveness in one of the world’s largest and fastest-growing automotive sectors. The study introduces the Maturity Assessment and Readiness for Industry 4.0 in the Indian Automobile Industry (MARI-IA) Scale, offering a novel contribution to the scientific discourse on this vital issue.Literature Review: The existing literature review underscores the scarcity of tailored tools specifically designed to evaluate Industry 4.0 readiness in the distinctive context of the Indian automotive industry. Methodology: To bridge this gap, the paper employs a survey methodology involving 55 participants from 14 diverse organisations, spanning original equipment manufacturers (OEMs), supplier industries, and service centers. The chosen research object is these organisations, strategically selected to represent the spectrum of the industry. Utilising the MARI-IA Scale, the study systematically assesses maturity and readiness across five pivotal dimensions: Vision, Machines, Practices, Products, and People. Results: The findings reveal discernible variations in readiness levels, with OEMs exhibiting the highest preparedness, followed by supplier and service industries. Large-scale industries consistently outperform their medium, small, and micro-scale counterparts, indicating a pronounced scale-dependent disparity. Notably, the ‘People’ dimension garnered the highest rating, suggesting an existing readiness for skill enhancement initiatives and heightened customer awareness initiatives. In contrast, the ‘Vision’ dimension is rated the lowest, signalling a pressing need for increased strategic commitment and top management involvement in implementing Industry 4.0 initiatives. Value: The empirical analysis conducted substantiates the relevance and applicability of the MARI-IA Scale in effectively evaluating ndustry 4.0 readiness in the unique context of the Indian automobile industry. Beyond a mere assessment tool, the results of this study carry significant practical implications for stakeholders, offering a roadmap for enhancing Industry 4.0 preparedness and maintaining a competitive edge in the global automotive landscape. This research is a foundational resource for scholars, industry practitioners, and policymakers navigating the dynamic landscape of Industry 4.0 adoption in the Indian automobile sector.

Decoding Customer Concerns about Embracing Electric Cars in India: Analysis of Audience Sentiments on YouTube Autovlogs

The issue of climate change presents a global challenge, with transportation contributing significantly to carbon emissions. Transitioning to electric vehicles (EVs) is a crucial solution for emission mitigation. In India, initiatives like the Faster Adoption and Manufacturing of Hybrid and Electric Vehicles (FAME II) aim to achieve a substantial market share of EVs by 2030. While the electric two-wheeler market has seen success, larger vehicle adoption faces economic and charging infrastructure challenges. This study analyses audience comments on YouTube auto vlogs to understand customer concerns about EV adoption in India. The analysis of 1598 comments reveals apprehensions regarding range, charging infrastructure, and battery life. Negative sentiments encompass high costs, battery reliability, resale value, and limited service centres, while positive sentiments express interest in EVs for their environmental benefits, cost-efficiency, advanced technology, and government incentives. The research highlights consumer scepticism alongside an optimistic group seeing EVs as the future of the automotive industry in India.

Strategies for Creating Value: Portfolio Optimization in the Indian Automotive Sector

Abstract: This study investigates strategies for creating value through portfolio optimization in the dynamic Indian automotive industry. This research focuses on the creation of portfolios that effectively balance risk and return in an industry subject to constant change and global economic factors. Using modern portfolio theory, the study collect and analyze financial data from a subset of automotive manufacturers, focusing on past stock performance, volatility, and correlations[1]. The study construct efficient portfolios suited to various risk-return preferences, ranging from conservative to aggressive, through rigorous analysis. This research reveals the complex differences of the automobile industry, where company performance is influenced by macroeconomic variables and market trends[2]. The constructed portfolios illustrate the benefits of diversification and the returns-and-risk balancing act. It discuss the implications for investors, with an emphasis on the importance of strategic asset allocation for managing sector-specific risks. This research equips investors and financial experts with crucial tools and insights for optimizing their portfolios in the automotive industry. It contributes to a broader comprehension of portfolio management in sector-specific contexts and provides practical advice for navigating an industry that is constantly evolving

Empirical analysis of success factors to implement lean-green practices in an Indian automotive manufacturing industry using ISM-MICMAC approach

Empirical analysis of success factors to implement lean-green practices in an Indian automotive manufacturing industry using ISM-MICMAC approach

A hybrid fuzzy based approach for industry 4.0 framework implementation strategy and its sustainability in Indian automotive industry

Recently, Indian manufacturing industries have undergone a significant transformation emphasising customer-centric objectives to meet the dynamic market's demands. To achieve this, existing industries must upgrade their existing infrastructure to a smart environment driven by automatic data exchange, transparency, and interconnected digital systems. These are the key enabling elements of Industry 4.0. As a result, many Indian industries are developing various sophisticated implementation strategies for adopting it. However, few research works and strategies contribute to its effective and successful implementation. This paper proposes two types of implementation strategies for implementing Industry 4.0 enabling technologies based on the requirements and adaptability of India's commercial vehicle manufacturing industry. The first strategy identifies various aspects of implementing Industry 4.0 enabling framework elements and categorizes it for developing implementation strategies based on India's commercial vehicle manufacturing industry. The significance of each was determined using fuzzy-AHP analysis and ranked accordingly based on the linguistic responses of the industry experts. The most significant framework element is found to be ‘Decision Making and Management Skills’. The second strategy emphasizes long-term sustainable implementation objectives. The framework elements are reconstructed and developed into a novel, customized sustainable framework based on six dimensions of sustainability. Using the Fuzzy-DEMATEL method, the causal relationships among these elements are investigated to determine a sustainable implementation strategy. ‘Central Database Server’ is determined to be the most significant sustainable framework element, while the maximum number of casual relationships is obtained from the group, ‘Skill upgradation of the workforce’. This paper proposes a novel research direction for implementing Industry 4.0 technologies into the existing industry. The findings provide several insights and strategies for technological upgradation in other industries in this geographical region. The findings of the work enhance the implementation process of I4.0 technologies, transitioning it from a conventional approach to a futuristic sustainable implementation that is economical and effective.

Automotive industry and industry 4.0-Circular economy nexus through the consumers' and manufacturers’ perspectives: A case study

The recent emergence of Industry 4.0 and the circular economy paradigm have significantly influenced various manufacturing sectors, including the automotive industry. These developments pose new challenges and issues in creating a digital and sustainable future. In response, this study was conducted to address the research gaps in perception-based investigations, specifically in the context of the Indian automotive industry. The study explores the impacts of the circular economy-Industry 4.0 nexus on the Indian automotive industry from the perspectives of stakeholders: 98 manufacturers and 294 end-users. Perception data were collected through a structured questionnaire and subjected to statistical analysis using factor analysis (both exploratory and confirmatory) to obtain the best-fit model. The findings indicate that manufacturers recognize the potential impact of the circular economy-Industry 4.0 nexus on waste reduction, post-consumption product management, and asset analysis. On the other hand, end-users perceive that new strategies and machine tool-related aspects are best implemented through Industry 4.0 technologies. Additionally, the study applies the technology acceptance model to bridge the research gap and discusses other enabling factors of the circular economy-Industry 4.0 impacts in the automotive industry. The novelty of this work lies in the first-time application of technology acceptance model in the Indian automotive field. The study aims to identify Industry 4.0 application factors affecting operational efficiency in the circular economy oriented automotive industry, thereby aiding policy planners and managers in developing appropriate circular economy strategies for the digital manufacturing world of tomorrow.

Overcoming barriers in automotive SMEs to attain international competitiveness: an ISM approach modelling

PurposeThis paper aims to identify and model barriers to internationalising automotive small and medium-sized enterprises (SMEs) from emerging market perspectives using the interpretive structural modelling (ISM) approach.Design/methodology/approachIn this paper, 13 critical barriers are identified through an exhaustive literature review and the Delphi method. The ISM tool is then used to establish interrelationships among the identified barriers to expose and discuss the key barriers having high-driving power.FindingsIt was found that barriers such as trade agreements and export documentation, exchange rates and material inadequacies were relatively less challenging than the other barriers. At the next level, there are barriers such as supply chain, high international quality standards, legal barriers, skilled labour marketing capacity and information and logistics and infrastructure. Finally, barriers such as government policies, entrepreneurial orientation and technology and finance availability posed the most significant challenge for the internationalisation of Indian SMEs. These barriers warrants immediate and considerable attention.Research limitations/implicationsThis study developed a model based on experts’ opinions, which may be biased and influence the final model as proposed in this study. This research will help the owners/managers of the SMEs and policymakers identify and understand the significance and relevance of automotive sector barriers while strategizing.Originality/valueTo the best of the authors’ knowledge, this is the first time an attempt has been made to apply ISM methodology to explore the interdependencies among the critical barriers of internationalisation for SMEs of Indian automotive industries. This study will guide the owner–managers management practices to overcome ineffective practices and move towards successful internationalisation.

A Study on Determining and Analysing Consumer Buying Behaviour in the Automobile Industry

The most lucrative sector of the economy nowadays is the car business. Due to a growth in both rural and urban income. The key factors influencing high volume automobile categories are the sector and the availability of simple financing. With a number of new competitors entering the market and major international brands preparing to enter the Indian market, the rivalry is intensifying. To learn more about consumer expectations and their market offers, current and new automobile manufacturing firms in India will find this research to be useful. Several domestic and international firms have an impact on the Indian automotive industry. In this essay, research on consumer behaviour among customers of automobiles is analysed. Marketing professionals may flourish in the market by having a thorough awareness of customer purchasing habits. A study of the Indian automobile market revealed that each segment's customer priorities differed, with disposable money serving as the primary motivator for purchases. Customers' top priorities in terms of needs are affordability, safety, and comfort while brand reputation largely determines how well customers perceive quality. For this study, the research papers in the passenger automobile category were examined, along with the buying decision-making process and how it interacts with other behaviour factors. This study's goal is to identify the variables that affect consumers' choices for a certain automobile category. This research also makes an effort to synthesize data and recommendations for addressing the current sales stasis situation and fostering future demand for the automotive industry.

Adapting to electric vehicles value chain in India: The MSME perspective

India has committed itself to a greener and cleaner future by opting for the latest technological revolution in the world of Automotives – Electric Vehicles (EVs). However, the contribution of any technology to economic growth and environmental development is highly correlated with its extent of diffusion and adoption. While much has already been written about the EV ecosystem in the country and the electric market from a consumer standpoint, this paper analyses the supply-side challenges and opportunities in adapting to the electric mobility mission in India as perceived by the firms, especially the Micro, Small and Medium Enterprises (MSMEs). Using PLS-SEM method on data collected from these firms in the Indian automotive industry, this study finds that major factors that the firms feel are significant in adapting to the current disruption are financial, technological and regulatory in nature. The factors aiding the transition are the state and central policies while inputs and trade related factors are impediments due to excessive dependence on imports for raw materials, components and final goods. The paper has further employed the lens of value chain analysis to understand the dispersion of these across the various segments of the EV value chain.

Formalising human resource practices in a family-centric business: the case of Precision Engineering

Learning outcomes After studying the case, the students will be able to: 1. understand the business and existing HR practices at Precision Engineering; 2. evaluate the factors affecting business that may require the company to formalise its HR practices; 3. create recruitment and selection-related solutions for HR 2.0 using appropriate models and theory to aid the company meet its business goals; 4. create training needs identification and evaluation practices for HR 2.0 using appropriate models and theory to aid the company meet its business goals; and 5. create performance planning and review-related solutions for HR 2.0 using appropriate models and theory to aid the company meet its business goals. The case helps students objectively assess HR practices related to three core verticals – recruitment and selection; training; and performance management systems. It also enables them to reassess these practices with the help of specific metrics and models. Case overview/synopsis Precision Engineering was a manufacturer of machined metal components in the Indian automotive components industry. It had been a family-run business since its inception in 1995. Precision was awarded the prestigious Automotive Component Manufacturers of India award in 2020 for excellence in HR. Ms Sakshi Kapoor, General Manager of Innovation, was ecstatic at the receipt of this award. She, however, was thoughtful about the informal human resource (HR) practices at the company. The top management had announced an aggressive growth plan and advised Ms Kapoor to leverage HR practices to facilitate these plans. Recruitment and selection, employee training and performance management systems needed to be formalised on a priority basis to strategically aid the future business agenda at Precision. Ms Kapoor faced the challenge of preparing the roadmap of HR 2.0 while preserving the employee-centric beliefs at Precision. The case initiates a discussion to achieve this goal by adopting suitable HR metrics and models. Complexity academic level It should be taught in the core course on Human Resource Management for first-year Masters in Business Administration (MBA) students. Alternatively, it could be used in elective courses such as Strategic Human Resource Management, Training and Development and Performance Management Systems for second-year MBA students. Supplementary materials Teaching notes are available for educators only. Subject code CSS 6: Human Resource Management.

Analysis of barriers to implement green supply chain management practices in Indian automotive industries with the help of ISM model

Analysis of barriers to implement green supply chain management practices in Indian automotive industries with the help of ISM model

Exploring the role of employee learning goal orientation and creative self-efficacy in fostering individual innovative work behaviours: evidence from Indian automotive industry

Exploring the role of employee learning goal orientation and creative self-efficacy in fostering individual innovative work behaviours: evidence from Indian automotive industry

Exploring the role of employee learning goal orientation and creative self-efficacy in fostering individual innovative work behaviours: evidence from Indian automotive industry

Exploring the role of employee learning goal orientation and creative self-efficacy in fostering individual innovative work behaviours: evidence from Indian automotive industry

Carving strategic resilience roadmap for Indian automotive industry using hybrid analytical approach

Carving strategic resilience roadmap for Indian automotive industry using hybrid analytical approach