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This paper examines the mediating role of manufacturing strategies in the relationship between competitive strategies and firm performance.

This study gathered 250 responses from firms in a developing country's key manufacturing sectors, including mechanical, electronics, automotive, textile and food. First, descriptive statistics were applied to fix outliers like respondent biases, missing values and normality issues. Second, exploratory factors analysis (EFA) ensured data adequacy and homogeneity through Kaiser–Meyer–Olkin (KMO) and Bartlett tests. Finally, confirmatory factors analysis (CFA) was used to identify the interactions (direct, indirect and total effects) between latent variables representing manufacturing strategies (quality, cost, delivery and flexibility), competitive strategies (cost-leadership and differentiation) and firms' performance (sales growth and profitability). In total, two structural equation modelling (SEM) models (SEM-I, SEM-II) were created to test the hypotheses.

Of the 40 items identified by the literature review, four were outliers, and three could not satisfy the EFA criteria (eigenvalue >1). Only 33 items could therefore reach CFA. SEM–I and SEM-II study results found no direct relationship between competitive strategies and firm performance (−0.03 = β = 0.08; p > 0.05). However, the findings revealed that cost-leadership could be an appropriate strategic choice and improved firms' performance if the quality and delivery are focussed (0.20 = β = 0.87; p < 0.001). While competitive strategies impact manufacturing strategies positively, the latter is only a mediator between the cost-leadership strategy and the firms' performance.

This research shows that the cost-leadership approach currently seems viable; however, flexibility and cost requirements were not satisfied due to infeasible product differentiation. These results will be beneficial to executives interested in investing in India's industries.

The purpose of this paper is to examine the cost leadership competitive strategy’s (CLCS) impact on firm performances and the mediating role of quality management (QM) practices in the context of micro, small and medium enterprises (MSMEs).

A structures questionnaire data collected from 245 ISO 9000 certified MSMEs in India (65.1 per cent of response rate) have been utilised to understand the CLCS’s impact on firm performances. In the first step, the data adequacy tests were performed to check the reliability and validity of the questionnaire and survey data. After that, the partial mediating model (direct, indirect and total effect) along with structural equation modelling approach was employed to test the research hypotheses.

The study results revealed that no direct relationship exists between the CLCS and firm performances (0.12<β<0.13; p>0.05); however, QM practices entirely mediated their relationship (β=0.73, p<0.01). Among eight model parameters, with highest total effects on product quality improvement (β=0.6264) and process improvement (β=0.6028), the continuous improvement secured the rank 1, followed by information and analysis (β=0.2334) and supplier management (0.1839), respectively, at p<0.05. Based on the empirical results, it can be concluded that the continuous improvement via proper information and data analysis is the key to achieve CLCS’s goal in the MSMEs.

The study results’ generalisation towards the large organisations is limited. The survey result findings applicability to other developing countries should also be treated with caution because the Indian Government subsidised the MSMEs selected for this study. The study results will help managers in implementing CLCS at the organisational level. The successful implementation will facilitate a competitive advantage in the local market and will motivate them to think globally.

The research observation and findings are expected to contribute to the strategic management in manufacturing industries. The study also confirms the existence of strategic management in MSMEs in a developing country. Furthermore, the major contribution is to understand the mediating role of QM practices, especially continuous improvement effect on the relationship between CLCS and firm performances in a developing country. The results indicated that the CLCS is only possible when the managers in the manufacturing sectors emphasis on the QM practices in their firms.

The purpose of this study is to integrate two well-established frameworks with an aim to reduce the unwanted rejection rate recurring in the drug production process in pharmaceutical industries. The effectiveness of an integrated framework has been demonstrated by a real-time case study in a complex industrial environment, providing a platform for quality tools application in the pharmaceutical industry.

The hazard analysis and critical control points (HACCP) provided a basic framework for hazard analysis and its blending with statistical process control (SPC) aided in data-driven decision-making. The extensive brainstorming and Pareto analysis helped to identify potential critical-to-quality characteristics followed by SPC, x¯ and R charts, histograms and C_p and C_pk analysis to spot the critical control point. The fishbone diagram led to the extraction of the leading cause behind the identified problem. Then, based on recommended corrective actions, control limits were adjusted and the process was brought into control. Finally, a product-based cost analysis is also performed to illustrate the financial impact resulting from the proposed method’s successful implementation.

The integrated framework is applied to a drug production process which has a higher rejection rate (3%) because of the non-conformities. Based on Pareto analysis, potential failure causes were classified and prioritised as inappropriate composition (2.54%), packaging (0.35%), out-of-specification (0.069%), equipment failure (0.022%), input materials (0.018%) and miscellaneous (0.002%). It is found that 84% of the total rejection rate is contributed by inappropriate composition. After taking corrective actions, it is observed that the proposed method has helped to reduce the process rejection rate significantly (2.54-0.82%). In the monetary terms, 2.50% decline per unit costs is noted in this case study work. The proposed integrated framework’s success is further motivating other pharmaceutical industries to implement and expand it to other processes.

The case study is an attempt to contribute to the existing literature of quality management in pharmaceutical industries. In particular, it is a novel example to introduce the simple and user-friendly SPC tool into well-established HACCP framework to enhance its effectiveness in hazard identification. The case study results motivate managers to adopt quality techniques for achieving a higher quality standard and operational excellence.

Although aligning information technology (IT) with quality management (QM) is a popular concept, it has not yet been properly, theoretically and empirically grounded. Therefore, the purpose of this paper is to identify critical factors for the effective implementation (CFEI) of IT-enabled ISO-9000 quality management system (QMS).

The primary field data were collected through a questionnaire survey of 381 small and medium enterprises (SMEs) in India. Exploratory factor analysis and confirmatory factor analysis were applied to check the reliability and validity of the data collected. First, using pattern matrix, 48 items (extracted from relevant literature) representing CFEI of IT-enabled ISO-9000 QMS were grouped into six latent variables (eigenvalue⩾1). Second, to test the relationship among CFEI, firm performance and competitive positioning, six hypotheses were formulated and tested using structural equation modelling (SEM) procedure.

The study results found that identified CFEI of IT-enabled ISO-9000 QMS, i.e. “strategic attributes” (β=0.517), “tactical attributes” (β=0.323), “operational attributes” (β=0.281), “organisational infrastructure and processes” (β=0.231), “system knowledge” (β=0.194), “alignment of system with firm’s strategy” (β=0.230), have a significant effect (p<0.05) on the successful implementation of ISO-9000 QMS. The critical factors are found to have a direct and positive impact on the firm’s performance. Study results found that the critical factors do not directly affect the firm’s competitive positioning (β=−0.097), but they do so indirectly through customer satisfaction (β=0.627) and operational performance (β=0.482).

The proposed model provides critical factors to align IT system with ISO-9000 QMS which is highly required mainly for SMEs. The study will provide a mean by which small manufacturing firms can counter the effects of increasing global competition.

The purpose of this paper is to explore the relationship between latent variables, i.e. human resource management (HRM) effectiveness, quality cost (QC), and firm performance (FP) for the successful implementation of quality management (QM) practices in micro, small and medium enterprises.

The data analysis is accomplished in three steps: in the first step, factor analysis was conducted to extract the latent variables representing key QM practices. In the second step, a descriptive analysis (cross-tabulation) was performed to examine the current situation and association between key QM variables and firm size. In the third step, to test the research hypotheses based on latent constructs, structural equation modelling (SEM) has been used.

The percent point score shows that there are substantial improvements in all organisational aspects after successful implementation of QM practices. The χ²-test revealed that only three domains namely employee participation, recruitment and retaining and supplier relationship are having a significant variation with respect to the firm size. The SEM results show that HRM effectiveness has a direct and positive relationship with FP, whereas QC has a negative association with HRM effectiveness and FP.

Managers will know which aspect they must consider seeing as an indicator of QM practice in their company(s). Out of the three identified latent constructs first will help to create an efficient human capital, whereas the second will help for addressing extra cost due to poor quality. Finally, the third latent variable will show the effectiveness of these two and will assist in evaluating firm’s performance.

The purpose of this paper is to empirically investigate the quality tool’s impact on the effectiveness of the Hazard Analysis and Critical Control Point (HACCP)-based food safety system and correlation studies between HACCP effectiveness and business performance in food and pharmaceutical industries.

A total of 116 survey responses of prominent food and pharmaceutical firms are used to fulfil the aim of this study. The principal component analysis (PCA) method was applied to classify quality tools into a finite number of groups. Further, multiple regression methods are employed to investigate the correlation between HACCP effectiveness and firm’s performance indicators.

Quality tools are classified into three categories on the basis of their application by using the PCA method: quality tools for hazard identification, quality tools for hazard analysis (QTHA) and quality tools for hazard control. The regression analysis revealed that QTHA has a substantial impact on HACCP objectives (hazard identification, hazard assessment and hazard control). Additionally, the results suggest that the successful implementation of HACCP-based food safety system also delivers a direct influence on the operational and financial performance of the food and pharmaceutical industries.

This paper contributes to the existing body of HACCP knowledge by providing a framework supported by an empirical case study. The case study clustered quality tools into three broad categories related to their application of a HACCP project. Study results can guide and motivate managers to use quality tools with the aim of successful implantation of the HACCP-based food safety system, especially in food and pharmaceutical industries.

The purpose of this paper is to measure and analyze the competitive advantage of micro, small and medium enterprises (MSMEs) based upon the Porter’s diamond framework. The major objective is to contribute toward better understanding of various determinants of the diamond model in context within Indian MSMEs.

Extent review of the literature has been done to identify various critical factors contributing to developing a competitive advantage. Exploratory factor analysis and internal consistency tests were performed to verify scales validity and reliability of measuring instrument (questionnaire). In research design, a case study approach has been used, in which MSMEs operating in the pharmaceutical, electrical and electronics, automobile, food and textile sectors were considered.

Study findings indicate that the pharmaceutical sector is more competitive followed by food (112.491) as revealed by the high value of surface area i.e. 150.931. The competitiveness among MSME sectors is mostly affected by demand conditions followed by firm strategy, structure and rivalry. Moreover, the score of diamond axes indicates significant difference with respect to determinants. For instance, in the textile sector, the determinants such as factor conditions and related and supporting industries scored low, for example, 4.710 and 4.280, respectively, which indicates it needs to be strengthened as this sector stands at last position with minimum surface area, for example, 67.398.

Owing to the time and resource constraints, this study was conducted in MSMEs situated in the state of Himachal Pradesh, India, and thus generalizations of results are rather limited.

This study is one of the original being undertaken by authors which helps to underline the importance of various determinants which may help the MSME units to improve competitiveness by implementing effective competitive strategies. The study could be extended to other regions of the country.

This study is a result of extended research on competitiveness and provides an instrument to measure firm ability to be competitive. CEO’s, managers and policy makers from industries as well as government will be able to use this to evaluate their competitive positioning and identify key problem areas which required improvements.

The pressing issues of climate change and environmental degradation call for a reevaluation of how we approach economic activities. Both leaders and corporations are now shifting their focus, toward adopting practices and embracing the concept of circular economy (CE). Within this context, the Food and Beverage (F&B) sector, which significantly contributes to greenhouse gas (GHG) emissions, holds the potential for undergoing transformations. This study aims to explore the role that Artificial Intelligence (AI) can play in facilitating the adoption of CE principles, within the F&B sector.

This research employs the Best Worst Method, a technique in multi-criteria decision-making. It focuses on identifying and ranking the challenges in implementing AI-driven CE in the F&B sector, with expert insights enhancing the ranking’s credibility and precision.

The study reveals and prioritizes barriers to AI-supported CE in the F&B sector and offers actionable insights. It also outlines strategies to overcome these barriers, providing a targeted roadmap for businesses seeking sustainable practices.

This research is socially significant as it supports the F&B industry’s shift to sustainable practices. It identifies key barriers and solutions, contributing to global climate change mitigation and sustainable development.

The research addresses a gap in literature at the intersection of AI and CE in the F&B sector. It introduces a system to rank challenges and strategies, offering distinct insights for academia and industry stakeholders.

The apparel and textile sector poses a significant environmental challenge due to its substantial contribution to pollution in the form of air, water and soil pollution. To combat these issues, the adoption of sustainable practices is essential. This study aims to identify and analyse the barriers that hinder the progress of sustainability in the apparel and textile industry. By consulting experts in the field, critical barriers were identified and given special attention.

To achieve the research objective, an integrated approach involving Interpretive Structural Modelling (ISM) and fuzzy MICMAC decision-making techniques was employed. The results were further validated through the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method.

The findings highlight that barrier related to clothing disposal, inadequate adaptation to modern technology, challenges affecting sector efficiency and issues related to fashion design are crucial in influencing the remaining six barriers. Based on the outcomes of the DEMATEL method, a comprehensive cause-and-effect diagram was constructed to gain a deeper understanding of these challenges.

This research provides valuable insights for policymakers and stakeholders in the apparel and textile industry. It offers a strategic framework to address and overcome sustainability barriers, promoting the development of a more environmentally responsible and resilient sector.

The purpose of this research is to conduct an in-depth investigation of the barriers apparel and textile sectors. It is feasible that both the management team and the medical experts who provide direct patient care could benefit from this research.

The objective of this study is to systematically identify, categorize and assess the driving factors and interdependencies associated with various types of healthcare waste. The study specifically focuses on waste that has been managed or is recommended for treatment through the application of Lean Six Sigma (LSS) methodologies.

To accomplish the study’s objectives, interpretive structural modeling (ISM) was utilized. This analytical tool aided in quantifying the driving power and dependencies of each form of healthcare waste, referred to as “enablers,” as well as their related variables. As a result, these enablers were classified into four distinct categories: autonomous, dependent, linkage and drivers or independents.

In the healthcare sector, the “high cost” (HC) emerges as an autonomous variable, operating with substantial independence. Conversely, variables such as skill wastage, poor service quality and low patient satisfaction are identified as dependent variables. These are distinguished by their low driving power and high dependency. On the flip side, variables related to transportation, production, processing and defect waste manifest strong driving forces and minimal dependencies, categorizing them as independent factors. Notably, inventory waste (IW) is highlighted as a salient issue within the healthcare domain, given its propensity to engender additional forms of waste.

Employing the ISM model, along with comprehensive case study analyses, provides a detailed framework for examining the complex hierarchies of waste existing within the healthcare sector. This methodological approach equips healthcare leaders with the tools to accurately pinpoint and eliminate unnecessary expenditures, thereby optimizing operational efficiency and enhancing patient satisfaction. Of particular significance, the study calls attention to the key role of IW, which often acts as a trigger for other forms of waste in the sector, thus identifying a crucial area requiring focused intervention and improvement.

This research reveals new insights into how waste variables are structured in healthcare, offering a useful guide for managers looking to make their waste-reduction strategies more efficient. These insights are highly relevant not just for healthcare providers but also for the administrators and researchers who are helping to shape the industry. Using the classification and ranking model developed in this study, healthcare organizations can more easily spot and address common types of waste. In addition, the model serves as a useful tool for practitioners, helping them gain a deeper, more detailed understanding of how different factors are connected in efforts to reduce waste.