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The purpose of this paper is to provide strategic recommendations to supply chain managers of Indian manufacturing industries for a robust supply chain related to risk management by original equipment manufacturers (OEMs) and suppliers in manufacturing industries to ensure a robust supply chain risk management (SCRM).

Importance-performance analysis (IPA) is utilized to identify and provide strategic recommendations to manufacturing industries for improving their supply chain performance by attaching due importance to risk constructs and appropriately choosing mitigation strategies.

The investigation using the strategic action grids reveals that most of the means of risks are near the point of intersection of the grand means of the risk constructs and their impact on the supply chain, indicating that all the risks have the equal likelihood of occurrence. The mean importance of risk monitoring, risk avoidance (RA) and risk sharing surpass the mean performance for both OEMs and suppliers.

The study is executed with following limitations: the study assumes that the manufacturing industries across different sectors perceive similar risk. The sectors considered are automotive, heavy engineering, general engineering and home appliances. The Southern States of India are considered because of the dominant presence of many industries, especially automotive industries. However, it should be noted that these States form the manufacturing hubs where the lead organizations are functioning along with their major suppliers.

By understanding the importance of SCRM dimensions and utilization of these dimensions, firms can mitigate the impact of risk on the supply chain. The detailed study of SCRM strategies highlights the importance attached to risk factors, mitigation strategies, and top management commitment. By the implementation of SCRM strategies, supply chain managers can improve the firm’s performance.

The study involves empirically validated data on SCRM dimensions. The IPA is performed on the SCRM dimensions to investigate the importance attached to the factors of the dimensions and their performance.

The purpose of this paper is to ascertain the current status of knowledge management (KM) adoption in the Indian manufacturing organizations and to develop a comprehensive research model to investigate the impact of enabling conditions for KM and the impact of KM on organizational performance through structural equation modelling.

A descriptive research design is adopted and primary data are collected through structured questionnaire. In total, 251 responses were obtained from the top- and middle-level managers and the structural relationships in the research model were tested using the partial least squares method.

The results revealed a moderate adoption of KM by the manufacturing companies. Also, a significant impact of the enablers on KM processes is observed. It is found that Indian manufacturing is operating in labour-intensive traditional methods and KM is still in its infancy. The impact of KM on the performance is moderate and contradicting the extant literature, the impact of KM on innovation is found to be weak.

The study is carried out in companies located in India and hence generalizing the findings should be done with caution. The sample is dominated by small- and medium-sized enterprises (SMEs) which may have implications for the findings.

As manufacturing companies in the developing countries such as India experience a greater competition in the globalized economy, adoption of KM will perk up the performance of the organizations. Practicing managers need to create a culture that facilitates KM adoption. Policy makers shall support SMEs in technology adoption, R&D, skill development and so on.

Previous KM studies in India are fragmented and analysed KM processes and KM enablers in isolation. Also, the holistic studies on KM literature focussed only on one or two facets of KM. A study which investigates the interactions between KM enablers, KM processes and organizational performance and innovation is scarce. The scarcity of empirical studies on KM and a dearth of understanding of the KM concept led to this maiden attempt to provide a comprehensive understanding of KM framework in the Indian manufacturing sector. A validated structured questionnaire for exploring KM practices in the Indian context is developed. Though the importance of the influence of external factors is theoretically emphasized, an empirical investigation is first of its kind.

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.

The purpose of this paper is to use content analysis to review the extensive supply chain literature to summarize its past and current trends, and uncover existing gaps and opportunities for future global supply chain research.

Since the study uses content analysis, several dimensions of the literature were analyzed: research purpose, year of publication, journal name, methodology, theory building or verification, country of study, sample industry, global or non-global issues, and article classification.

From a methodological point, the literature mostly consists of empirical and descriptive studies with few exploratory articles. The review shows that global supply chains area relatively “immature” or “new phenomenon” research topic that is gaining interest from practitioners and academics.

It is hoped that by critically examining the extant literature, the authors can clearly identify the challenges and state of global supply chain research to provide supply chain researchers with a precise summary of the literature and directions for future studies.

This study also allows managers to recognize the methodologies and tools that can be used to enhance their supply chains. It is believed that various strategies could be adopted to create a robust global supply chain. In this respect, different industry sectors may require different global strategies and different global practices.

The findings show that there is a shortage of empirical studies on global supply chain strategies and outcomes, and most research focusses on supply chain practices and customer or supplier relationships.

The purpose of this paper is to develop a framework to manage the strategy to counter disruptive innovation by identifying stronger attributes and key strategic areas for improvements in an engineering services context with less freedom to orchestrate product innovation. The authors also validate the combined use of multi-grade fuzzy, Importance-Performance Analysis (IPA) and gap analysis in developing the strategy to mitigate turbulence.

The paper presents a framework using a combination of Dynamic Capabilities and Organizational Agility to develop the strategy. The study uses data gathered from a 60-member engineering project team working on an Aircraft Engine Controller design to identify 50 attributes and the related importance and performance ratings. The research study is designed using a three-tier approach. First, multi-grade fuzzy is utilized to measure the overall firm response agility index. In the second step, the IPA is used to analyze the strength and weaknesses of the firm and to identify the attributes where the firm needs to focus. In the past step, gap analysis is used to prioritize the identified attributes. The findings are validated by panel discussions with a different group of experts from the project team and action points were arrived at.

This research work finds that the firms’ response agility index of 6.97 is comparable to that of the Original Equipment Manufacturers (OEMs) from previous literature, but still needs a better agility score to effectively counter turbulence from disruptive innovations. It also identifies seven key areas for improvement and their relative priority to effectively improve the response agility by utilizing the least number of resources, the reasons for the gap and the mitigation strategy to close the gap. The findings highlight a few key differences between an engineering services firm in comparison to OEMs and Software Services firms.

The findings help the practitioners with a comparative agility score of an engineering services firm, and an effective way of measuring agility, identify key focus areas and prioritize the actions using a simple set of data that could be collected regularly to keep track of the improvements. The provided strategic framework to improve the agility score can be used for continuous improvement.

This paper contributes to the existing literature by developing a framework for outsourcing services companies to cope with the turbulence by using dynamic capabilities and organizational agility. It also adds to the literature by extending the validity of IPA and gap analysis in making strategic decisions in an industrial set-up.