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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 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.

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 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.

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.

Artificial intelligence (AI) usage improves e-commerce logistics efficiency. However, many actors can play significant roles, such as supply chain consistency (SCC), last-mile logistics (LML) performance and collaboration and coordination among logistics firms. This study aims to assess how SCC and LML performance mediate and collaboration and coordination moderate the relationship between AI usage and logistics efficiency.

A structured questionnaire was used to collect the data. A total of 245 valid responses were received from Indian e-commerce businesses. The data were then analysed using AMOS v25 and structural equational modelling using SPSS for regression, PROCESS macro for mediation and moderated mediation analysis.

The findings show that AI usage independently impacts logistics efficiency, with SCC and last-mile delivery performance as mediating variables. Collaboration and coordination among logistic firms are also critical moderators in enhancing AI’s efficacy in logistic operations. The study findings suggest the integration of AI into logistic operations and provide implications to managers on the urgency of fostering a collaborative and synchronised environment to utilise the full potential of AI in e-commerce businesses.

This study not only contributes to the field of logistics theory by presenting empirical data on the various ramifications of AI but also offers practical guidance for logistics firms, particularly those operating in developing economies, on how to strategically employ AI to enhance operational efficiency and attain a competitive advantage in the era of e-commerce logistics in the digital age.

In recent years, there has been a growing emphasis on competency-based systems as a means of assessing employee performance. These systems assess the degree to which the competencies of employees align with the requirements of their employment positions. This study aims to identify, prioritize, and make contextual interrelationships of the competency dimensions that are relevant for evaluating employees in the context of Indian manufacturing MSMEs.

These dimensions were identified through an extensive literature review and interviews with industry experts. Further, a mixed-methods approach, including the “Bayesian Best-Worst Method” (BBWM), is applied for prioritizing important dimensions, whereas for making mutual relationships, the “Interpretive Structural Modeling” (ISM) method is utilized. “Matrice d'impacts croisés multiplication appliquée á un classment” (MICMAC) is also known as “cross-impact matrix multiplication applied to classification” is used for clustering competency dimensions based on their “driving power” and “dependence power”.

The findings reveal that among the primary dimensions, “creative performance,” and among the sub-dimensions, “innovative behaviors,” are the most critical competency dimensions for an employee assessment. The study also found that “smart working”, “factual and theoretical knowledge”, “empathy at work”, “understanding of specific knowledge”, and “engagement ideas and activities” are the main dimensions driving employees' competency.

This paper provides contribution to the competence literature by identifying and evaluating competency dimensions for assessing employees' performance within manufacturing MSMEs in an emerging economy such as India. The study also assesses the rank and contextual relationship between the identified dimensions as no past research focused on the same by using BBWM and ISM in the Indian manufacturing MSMEs context.

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 aim of this study is to explore the concept of operational excellence (OPEX) in the context of African businesses. It seeks to identify the main themes, topics and trends within the OPEX discourse and to uncover emerging areas and potential directions for future research. By emphasizing the unique challenges and opportunities in African markets, this study aims to broaden the understanding of OPEX and its applicability in diverse business environments.

This study adopts a mixed-methods approach, combining qualitative and quantitative analyses. Using topic modeling and text analytics, the study examines a range of scholarly literature and social media content. The methodology involves a meticulous extraction and analysis of data from peer-reviewed journals, alongside an exploration of themes emerging from social media, blogs and forums. This approach allows for a comprehensive understanding of OPEX trends in both academic and practical contexts.

The study reveals that OPEX in African businesses is intricately linked with innovation, strategic leadership, cultural dynamics, global market integration and data analytics. Key findings include the importance of integrating cultural understanding into operational strategies, the role of adaptive leadership in navigating the African market and the necessity of aligning operational processes with global trends, innovations and data-driven insights. The research also highlights the unique challenges African firms face, such as balancing local and global business practices, leveraging cultural diversity for competitive advantage and harnessing the power of data analytics for OPEX.

This research contributes original insights into the understanding of OPEX in African business contexts, an area that has been relatively under-explored in existing literature. It offers a novel perspective by integrating academic and practical viewpoints, thereby providing a more holistic understanding of OPEX. The findings have significant implications for both business leaders and researchers, offering strategic directions for firms operating in or with African markets and suggesting new avenues for academic inquiry in the field of OPEX.