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This paper empirically explored the influence of external and internal factors on technological and non-technological innovation of 5747 Indian firms. The study also explored novel insights about manufacturing firms by segregating them into high-technology and low-technology industries.

The study employed hierarchical regression analysis to analyse a cross-sectional dataset gathered from the World Bank enterprise survey. The firms are segregated into high-technology and low-technology industries based on the technology-intensity classification of the manufacturing industry given by the Organisation for Economic Co-operation and Development.

The main results highlight that technological and non-technological innovation was primarily driven by internal resources and capabilities rather than external factors. The authors found the highest effect of research and development spending on both forms of innovation. In both high-tech and low-tech industries, technology transfer is positively associated with technological innovation and negatively associated with non-technological innovation. Furthermore, external business support has substantially influenced non-technological innovation in low-tech industries.

This study used two-step hierarchical regression to explore the influence of external and internal factors on technological and non-technological innovation separately. Exploring determinants of innovation in high-technology and low-technology industries also brings the distinct prerequisites of enhancing innovation to the attention of policymakers and industry experts.

This study aims to analyze the relationships between knowledge management and co-evolvement to green product and process design and green manufacturing and logistics. Besides, this study also analyses the direct and indirect effects of corporate environmental strategy, knowledge management and co-evolvement.

The data used in this study were collected by a survey of Indian manufacturing firms and analyzed by a variance-based structural equation modeling technique to test the hypotheses.

The results suggested that knowledge management and co-evolvement have significant positive relationships to green product and process design and green manufacturing and logistics. Likewise, corporate environmental strategy has positive effects on knowledge management and co-evolvement.

Manufacturing firms should invest and deploy corporate environmental strategies to develop knowledge management and co-evolvement capability that foster green product and process design and manufacturing and logistics.

This study investigates the role of knowledge management and co-evolvement to improve green product and process design and green manufacturing and logistics. The uniqueness of this study is that it investigates novel direct and indirect relationships between corporate environmental strategy and knowledge management and co-evolvement.

This study develops an integrated approach combining data envelopment analysis (DEA) and structural equation modeling (SEM) for estimating the working capital management (WCM) efficiency and evaluating the effects of diverse exogenous variables on the WCM efficiency and firms' performance.

DEA is applied for deriving WCM efficiency for 212 Indian manufacturing firms over a period from 2008 to 2019. Also, the effect of human capital (HC), structural capital (SC), cost of external financing (CEF), interest coverage (IC), leverage (LEV), net fixed asset ratio (NFA), asset turnover ratio (ATR) and productivity (PRD) on the WCM efficiency and firms' performance is examined using SEM.

The average mean efficiency scores ranging from 0.623 to 0.654 highlight the firms operating at around 60% of WCM efficiency only, which is a major concern for Indian manufacturing firms. Further, IC, LEV, NFA, ATR revealed direct effect on the WCM efficiency as well as indirect effect on firms' performance, whereas CEF had only a direct effect on WCM efficiency. HC, SC and PRD had no effects on WCM efficiency and firms' performance.

The findings offer vital insights in guiding policy decisions for Indian manufacturing firms.

This study is the first to identify the endogenous nature of the relationship of HC, SC, CEF, IC altogether with firms' performance, compounded by the WCM efficiency, by applying a comprehensive methodology of DEA and SEM and provides an efficiency performance model for better decision-making.

This study aims to focus on the role of labor regulation and credit market imperfections, in addition to that of factor endowments, in determining capital intensities in Indian manufacturing.

The paper considers an alternative approach to identifying the effects of India ' s labor regulations on industrial performance. In particular, the paper uses a measure of the stringency of labor regulations across countries – one that is completely independent of the India-specific measures used by earlier studies – and examines its relationship with capital intensities across manufacturing industries. Additionally, since labor regulations are unlikely to be the only reason for imperfections in factor markets, the paper also examines whether and to what extent capital market imperfections affect capital intensities across manufacturing industries. The paper then presents a case study that seeks to ascertain whether actual capital intensities prevailing in Indian manufacturing in major industry groups from 1989 to 1996 were larger than predicted capital intensities for these industry groups based on relative factor demand functions estimated for the USA (a country with relatively less restrictive labor laws and a more developed financial system) evaluated at Indian wages. Finally, the paper uses a recently available dataset to compare capital intensities in Indian and Chinese manufacturing to investigate the behavior of these two emerging Asian economies since 1980, when they started out with relatively similar socio-economic conditions.

The paper finds that India uses more capital-intensive techniques of production in manufacturing than countries at similar levels of development (and similar factor endowments), including China. For a majority of manufacturing industries, labor freedom and capital market development are, in addition to factor endowments, important determinants of capital intensity of production techniques used. Results reveal that, controlling for factor prices, India specializes in more capital-intensive varieties within broad industry groups relative to the USA, a more capital-abundant economy.

To the best of the authors ' knowledge, such a study has not been done for any other country. The paper sheds light on the important issue regarding the use of capital-intensive techniques in manufacturing in India, which is a labor-abundant country. The role of labor regulation has been extensively debated and the paper also investigates its role along with the role played by credit market imperfections.

The purpose of this paper is to investigate, validity and reliability analysis on existing Lean manufacturing (LM) frameworks when applied to Indian organizations. LM is one of the best manufacturing strategies that are used by manufacturing plant managers to improve manufacturing capabilities.

In the present research work, a questionnaire-based survey was used to examine 35 LM frameworks. The study targeted respondents ranging from top- and middle-level management personnel in Indian manufacturing industry. The sample includes organizations in a variety of industries ranging from automobile, electronics, engineering, process and textile industries products. The survey tool was prepared with team of 12 members i.e. six academicians and six professionals from manufacturing industry environment. The study received 186 responses from various sectors of manufacturing industry, 180 surveys were usable resulting in a response rate of 23.90 per cent. Factor analysis was conducted to check unidimentionality of the framework. Cronbach’s alpha is calculated to find reliability of each framework’s. Lastly, frequency analysis was used to recognize familiar constructs of LM on the chosen framework.

This study has identified that most of the LM frameworks revealed a high level of reliability. When the study has examined further advance about unidimensionality with respect to the construct, i.e. the LM it measures, it confirmed 11 frameworks were revealing unidimensionality. The frequency analysis was evident that a greater part of the constructs has a high mean score and mode. Finally, the research concludes that there is requirement for a novel framework to Indian manufacturing industry to stay in competition with global manufacturing industries.

Cross-sectional data from manufacturing industries and India (only one country) is used with sample size restricted to 180 only, and it would be interesting to test these frameworks for more than one industry sector and country.

The present work tries to find the suitability of the presented LM frameworks to Indian manufacturing industry sector. The authors hoped that the present research would give the information to the management to execute the suitable LM framework in their firm.

The present work tries to find the suitability of the presented LM frameworks to Indian manufacturing industry sector. The authors hoped that the present research would give the information to the management to execute the suitable LM framework in their firm.

This paper aims to explore the state of strategic fit between “competitive strategy” (CS) and “supply chain strategy” (SCS) in the Indian manufacturing industry by investigating the mediating role of supply chain strategy between competitive strategy and performance of company/supply chain.

This aim is accomplished by using a survey questionnaire that was answered by 185 respondents from various sectors of Indian manufacturing industry. These sectors included automobile, electrical and electronics, process, machinery, textile, food, aviation and footwear sectors. The state of strategic fit is explored based on research framework of “matrix of strategic fit”.

The major findings revealed existence of a causal relationship between CS and SCS with CS as independent variable and SCS as dependent variable. It was also found that choice of CS and SCS affects business and supply chain performance. The other finding was establishment of the existence of strategic fit in Indian manufacturing industry, which was explained by analyzing the interaction effect between CS and SCS. It was also found that a major hurdle in implementing SCM practices in Indian manufacturing industry is “overcoming traditional practices”.

Indian manufacturing industry is growing by leaps and bounds, but to date there is no study that has explored the mediation effect of supply chain strategy between competitive strategy and performance in India. This paper provides a research framework to study and assess these dimensions of strategy on “matrix of strategic fit”.

The paper explores the managerial perceptions in Indian apparel manufacturing firms related to production performance, challenges faced, causes of low efficiency and the government support needed.

A structured survey of Indian apparel manufacturing firms was undertaken in person and through the online mode; the questionnaire was designed to collect data on demographic profile of a firm using categorical questions and perceptions of its top managers using a five-point Likert scale.

The survey findings reveal that most apparel manufacturing firms believe that exporting promotes efficiency and adopt output orientation to production, which may not be suitable in a competitive and uncertain environment. Machines are not used much for value-addition and labour related issues are most pressing challenges. Government support is expected for several aspects such as power supply and skill development.

The paper is limited by the nature of the sampling method and sample size; perceptions should be explored without bias and with good judgement.

The survey findings suggest that government policy should have a firm-specific approach to support improved production performance along with generic policies to build infrastructure and logistical facilities.

To the best of authors’ knowledge, there has been no such exercise to study managerial perceptions related to production performance in Indian apparel manufacturing in the past decade.

Productivity gain in the manufacturing sector draws immense significance for all developing countries, particularly due to its contribution in enhancing competitiveness and promoting economic growth in the long run. The purpose of this paper is to study the sources of productivity gain for large and small-scale manufacturing firms.

This paper studies productivity performance of Indian textile manufacturing industry using firm-level panel data of 160 companies for the period 2007-2008 to 2012-2013. The output-oriented Malmquist productivity index has been computed through data envelopment analysis. Further, the sources of productivity gain are identified for the entire textile industry as well as for the small and large-scale sector companies separately.

Regarding the sources of productivity gain, technology change and scale efficiency seem to be the major drivers. Pure efficiency change is a concern for all firms irrespective of scale. The results suggest that moderately large companies are exhibiting better productivity performance during the study period.

The research is limited to a single industry, reference database and methodology. There is scope for further research at the micro-level to analyse the drivers of productivity for enterprises operating at different scales.

The paper contributes to existing literature by identifying the core action area for improving productivity performance in Indian textile manufacturing as the pure efficiency component. It also adds to research on the most productive scale of operation in manufacturing.

Agile manufacturing (AM) has the new scenario in the business system and it is widely seen as a “New Revolution” in the manufacturing firms. AM, which continuously focusses on the adoption of new methodologies and quickly respond to the customer expectation. For this reason, many of the research studies are focussed on the AM environment and this system is mainly followed in large sector only and most of the small- and medium-sized enterprises (SMEs) are not aware of it. Especially in the developing countries which are still lagging behind in the implementation of AM. Considering the above reason, the purpose of this paper is to assess the awareness of AM in Indian SMEs.

By means of researching many literature reviews and empirical data collected by using a self-administrated instrument distributed to the selected Indian SMEs and the awareness about the AM was investigated. The authors have selected 100 SMEs in Indian service sectors and sent the data sheets through by e-mail and also by directly visiting the company and collected the information. A total of 68 useable survey data’s were identified from the final analysis. The study data sample consists of a group of selected Indian SMEs, from different industries including the pump and foundry industries. The collected data were analyzed using the graphical representation method and by the statistical analysis.

The analysis revealed the significance and usage of AM in the Indian SMEs. The results also suggested that the Indian SMEs are well aware of the AM system, through more efforts need to be focussed on implementing this system properly and effectively to improve these standards. By the use of agile models and frameworks in small and medium sized enterprises (SMEs), would result in cost-effectiveness in their quality and services and can be continuously improving the ongoing agile practices.

Indian SMEs managers seem to be stronger familiar with the agile concepts and practices and they believe that agile environment would guaranteeing in their services and high-quality products. Therefore, SMEs should concentrate and invest in agile practices that would help them to improve their competitiveness in the global market. Further, Indian SMEs managers and practitioners would concentrate more about this maintenance of standards and with this dynamic approach it takes toward the agile environment to meet the future challenges.

The data collected and the results provided in this paper will help in understanding, the awareness about the AM environment in Indian SMEs. Also, suggest some additional improvements in the knowledge of agile to the managers and practitioners in the Indian SMEs, which could enhance the level of agile implementation.

The assessment of agile awareness in Indian SMEs, along with the concepts of understanding the AM environment, has been explained in the literature on AM in the Indian SMEs.

The purpose of this paper is to develop and validate a scale measurement of supply chain operations reference (SCOR)-related performance indicators and proposed constructs, SCOR-related performance indicators as practices within the Indian manufacturing sector.

A literature-based model on SCOR processes with five constructs and respective performance indicators was empirically validated by using a structured questionnaire. A total of 155 respondents among Indian manufacturing sector participated in this research, and the returned questionnaires were analyzed by using structural equation modeling.

The study established a relationship among the SCOR-related performance indicators and overall supply chain performance indicators (OSCPI). The moderation effect of demographic characteristics, namely, employee size, company age and type of company showed significant differences between SCOR-related performance indicators and overall supply chain indicators.

The scope of the study is limited to specific Indian manufacturing firms. The survey could not represent whole population of manufacturing sector.

The findings assist managers/supply chain practitioners in improving the performance measures identified using the standard framework, i.e., SCOR processes, overall supply chain performance measures as standard practices for Indian manufacturing sector for a profitable and sustainable business growth in global environment.

This research holds a value for suggested practices under SCOR processes and the proposed model for OSCPI, a path finder/performance measurement tool for supply chain professionals in the Indian context.