The impact of knowledge management processes on supply chain performance

PurposeEmployee knowledge is an essential contributor to managing supply chain ambiguities and supply improvement. The current research examined green technology (GT) implementation and knowledge management (KM) processes toward knowledge worker supply performance (KWSP). The present study postulates that GT implementation's positive impacts on the KM process and KM process lead to improved KWSP based on employee knowledge contribution.Design/methodology/approachTo accomplish the research objective, the data were taken from those production houses that are utilizing GT. A total of 400 questionnaires were distributed in Zhengzhou city, and feedback was received (343). The feedback data were studied through partial least squares-structural equation modelling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA). fsQCA is used to analyze improving the multiple configurational paths of KWSP.FindingsThe study revealed that GT implementation is positively associated with the KM process, and KM processes substantially influence the improvement of KWSP. The consequence of fsQCA demonstrated that various combinations improve supply chain performance. The study combines certain dimensions of GT implementation with the KM process, revealing that supply chain performance improved based on knowledge sharing in manufacturing firms.Research limitations/implicationsThis study guides decision-makers and academics on using the knowledge process associated with GT to improve supply chain performance. Moreover, future researchers should use information technology in supply houses and compare the result with the literature to generalize the results better.Originality/valueThe asymmetric technique assists in differentiating the connections that are not directly investigated by the traditional symmetric method. The study covers and identifies various approaches that can be used in manufacturing firms to improve the supply chain process and employee satisfaction. The study combines the two techniques to understand supply performance based on knowledge sharing in manufacturing firms.

Purpose The purpose of this paper is to investigate the complex interrelationships among the key constructs, supply chain orientation (SCO), supply chain integration (SCI) and supply chain performance (SCP) in Indian manufacturing industries. These relationships have been studied using the relational view (RV) and the knowledge-based view (KBV) theoretical perspectives. Design/methodology/approach The conceptual model was derived from the existing body of knowledge in the supply chain domain. The study is based on a sample size of 122 data collected via face-to-face meetings with the Indian manufacturers using well-established scales. The covariance-based structural equation modeling was used to test the proposed hypotheses. Findings In Indian manufacturing and supply chains, SCO has a positive relationship with SCI and SCP. Moreover, the direct impact of SCO on SCP diminishes when SCI is used as a mediating variable. This study also observes positive impact of: i) SCO on SCP, ii) SCI on SCP and iii) discovery of mediating role of SCI on SCP under the theoretical lenses of RV and KBV. Research limitations/implications Cross-sectional survey of manufacturing firms of one country (using one response per firm) calls for validation covering other parts of the world and demands a longitudinal survey. This research will trigger more scholarly, practice and policy debate among researchers studying Indian and emerging economies context. Practical implications The notion of a holistic view of the SC with a focus on improving the customer value can enhance strategic partnerships among the SC partners (i.e. SCI) and overall SCP. Firms should make efforts to include SCI in SC designs to successfully transform SCO into SCP. Originality/value The originality of the research lies in studying the complex interrelationships among key concepts of SC in a unique Indian manufacturing context. The Indian supply chains operate in a set of unique characteristics, which have been detailed out in this paper. This paper not only establishes the mediating role of SCI for overall SCP in emerging economies but also enhances the scholarly knowledge in the SC domain. Most studies report SCO as a single-order construct, measured by scales comprising of only few items. The second-order SCO measures in this study bring credibility to the findings. Additionally, it contributes to both academicians and practitioners alike in the context of an integrated SC in emerging economies.

Purpose Supply chain (SC) and knowledge management (KM) have been studied; still, there is a need to understand how KM can be used for SC resilience and improving the firm’s performance. The purpose of the paper is to study and analyze SC resilience strategies based on KM processes to enhance SC performance considering six SC strategies: SC reengineering, collaboration, SC innovation, SC integration, SC agility and SC risk management. Design/methodology/approach By adopting the dynamic capability theory, the empirical research is conducted on a sample of 312 Indian micro, small to medium enterprises. To evaluate 312 samples, the structural equation modeling approach is adopted. Findings The study found a is a positive relationship between SC reengineering, SC collaboration, SC integration, SC agility, SC risk management and KM. Nevertheless, the relationship between SC innovation and KM is not significant. This study also found the mediating effect of KM on SC performance, and the results shows that SC reengineering, SC collaboration, SC agility and SC risk management are having complementary mediation, while SC innovation and SC integration did not show any mediation. Originality/value This is the only research that integrates resilience strategies and KM for improving SC performance. Using KM, SC reengineering will improve SC performance by enhancing readiness and recovery strategies to avoid SC disruption. KM will improve SC collaboration. It will enhance the SC process’ overall visibility, transparency and so on. Agility leads to increased speed, visibility and flexibility, which aids in dealing with uncertainty in the environment. SCRM entails investments and additional resources (such as equipment and labor) to navigate uncertainty and risks in the SC and improve SC performance.

Purpose– The purpose of this paper is to evaluate knowledge management (KM) processes and to investigate their impact on organisational performance (OP) within the context of the airline industry (AI).Design/methodology/approach– An inductive and deductive qualitative approach was used based on a preliminary study. A pilot study was conducted which involved the use of interviews as a primary data collection method. Content analysis was used to extract and analyse themes from the data.Findings– The study showed that knowledge usage is the most influential aspect of KM in terms of the impact on OP. Moreover, the study revealed that knowledge transfer is a common KM process employed by organisations.Research limitations/implications– This study outlined the findings of a pilot study which aimed to test a proposed conceptual model and to provide an initial understanding of the interrelationships between KM processes and OP. To this end, a number of interviews were conducted in order to consolidate a conceptual model. As such, the nature of this preliminary study imposed some time and context limitations. These limitations will be dealt within later stages of the research journey.Originality/value– The value of the study is generated from the extensive review of the literature it provided which enhanced proposing a conceptual model that was initially tested with the aim of defining an appropriate KM processes within a unique and yet untested context as well as describing the impact of these processes on OP. Determination of KM processes is expected to set a guideline for future research in the AI.

PurposeThis paper aims to examine the role of knowledge management (KM) processes in enhancing competitive strategies of differentiation and cost-effectiveness and its impact on innovativeness in knowledge-intensive service organizations (KISOs) in India.Design/methodology/approachThis study collected data from 293 employees working in Indian KISOs through a questionnaire survey. After checking for reliability and validity of data, this study tested the hypotheses by structural equation modeling using AMOS 26.FindingsThe results show that KM processes have a significant and positive relationship with competitive strategy and innovativeness. Competitive strategy partially mediates the relationship between KM processes and innovativeness. These KM processes promote differentiation and cost-effectiveness, which in turn enhances innovativeness. A differentiation strategy has a stronger positive relationship with KM processes and innovativeness than a cost-effective strategy.Research limitations/implicationsThis study's cross-sectional design limits its ability to establish a general cause–effect relationship. Even so, theoretically, the results corroborate the contingent view of KM in emerging economies such as India. The findings show the mediating role of competitive strategy on the relationship between KM and its processes with innovation and competitiveness – providing a better cost-effectiveness relationship and organizational differentiation capacity.Practical implicationsThis study suggests managers to adopt KM processes such as creation-sharing, acquisition and knowledge base enabling firms to be different and cost-effective than their competitors. This study provides evidence on how KISOs can leverage their innovativeness by using KM processes in congruence with its competitive strategy and gain competitive advantage.Social implicationsThis study emphasizes the development of KM processes in the management of KISOs, which contributes substantially to India’s economic growth via Gross domestic product and employment. On the social side, this study suggests to manage cultural issues in KM processes, arising because of presence of multi-cultural workforce and a high-power distance society.Originality/valueThis study bridges a research gap of previous studies providing empirical evidence regarding the mediating effect of competitive strategies in the relationship between KM processes and innovativeness. This study adds proof to the KM contingency view of firms, suggesting when KM processes are formulated to achieve competitive strategy; substantial benefits such as innovativeness can be realized. This study adds evidence from the emerging economy of India, where KISOs are increasingly creating value and employment.

This study investigates how tech-driven integration (TDI), supply chain flexibility (SCF), and organizational ambidexterity (ORA) influence supply chain integration (SCI) and supply chain performance (SCP) in manufacturing firms. Supply chain uncertainty and agility are examined as moderating factors in the relationship between TDI, SCF, ORA, SCI, and supply chain performance. Based on insights from two experts and a comprehensive literature review, 35 measurement items were identified for the close-ended questionnaire design. Grounded in the resource-based view, the study employs the partial least squares structural equation modeling (PLS-SEM) approach to analyze 409 valid responses from the manufacturing industry. Our findings reveal that TDI and ORA positively impact SCI, while SCF has no significant influence on SCI. SCI directly influences SCP. Supply chain uncertainty moderates the two impacts: TDI and SCI; ORA and SCI. Besides, supply chain agility moderates the relationship between SCI and SCP. Our findings contribute to the literature by introducing a novel perspective on the relational dynamics of supply chain management by TDI and emphasizing the importance of organizational ambidexterity. We provide practical recommendations for managers to improve firm performance by strengthening the connections between TDI, SCF, ORA, uncertainty, agility, SCI, and SCP.

This study explores the role of knowledge management (KM) processes in enhancing strategic performance within private banks in the Erbil-Kurdistan region of Iraq. Using a quantitative research approach, data was collected from 122 employees through structured questionnaires and analyzed using multiple regression and correlation analyses. The findings reveal that KM processes—Knowledge Management Practices, Knowledge Creation, Knowledge Sharing, Knowledge Storage and Retrieval, and addressing Challenges in KM Implementation—significantly influence strategic performance. Among these, Knowledge Storage and Retrieval demonstrated the strongest impact, followed by Knowledge Management Practices and Knowledge Creation. The R-squared value of 82% indicates that KM processes collectively explain a substantial portion of the variance in strategic performance. The study highlights the importance of fostering innovation, collaboration, and efficient knowledge systems to drive organizational success. Recommendations include investing in KM infrastructure, promoting a knowledge-sharing culture, and addressing implementation challenges. This research contributes to the growing body of literature on KM's critical role in achieving strategic objectives and provides practical implications for organizations aiming to enhance performance through effective knowledge management.

Aim/Purpose: This study aims to investigate the relationship between the knowledge management (KM) process and the performance of construction companies. The ultimate goal is to promote better efficiency and competitive advantage in the construction industry by making the best use of knowledge. Background: While attention to KM is currently on the rise, as shown by the number of studies conducted, research on KM in the construction industry of Indonesia is still very rare. However, organizational learning as the implementation of KM provides an opportunity to improve the construction industry, and thus there is an urgency to conduct research on this topic. Methodology: This study lasted for three months and used the survey method, with 100 questionnaires distributed to contractors of grade 6 and 7 on the islands of Java and Borneo in Indonesia. A total of 54 returned questionnaires were deemed complete and eligible for further analysis. Data analysis was performed using the structural equation modeling method with partial least squares (SEM PLS). Contribution: This study helps to measure the relationship value of the KM process and company performance. Findings: The results of this study indicate that the process of KM has a significant and positive influence on company performance, and there is a positive interaction in the process of KM and company performance as well. Recommendations for Practitioners: Construction companies need to perceive that activities undertaken in a construction project should always be assumed to be a KM process in order to make strategic and effective decisions that can result in improvements to customers, finance, internal business, learning, and growth. Recommendation for Researchers: Research on the KM process and information technology needs to be developed more, so that construction companies can apply this knowledge to explore problems and create solutions, resulting in methods to facilitate efficiency and effectiveness. Impact on Society: This paper helps to understand that KM activities provide initial benefits and guidance for companies that want to apply KM. Future Research: Innovative and new ideas to cultivate the KM process in the construction industry need to be explored and developed to improve the implementation.

PurposeThe main purpose of this paper is to investigate the effects of knowledge management (KM) infrastructure and KM processes on the performance of KM practices.Design/methodology/approachThe paper is based on personal interviews, data were collected from 83 managers from a single case study of a Global System for Mobile Communications (GSM) operator in Turkey.FindingsThe paper finds that hypotheses were tested using structural equation modeling. Test of hypotheses revealed that both KM processes and KM infrastructure positively and significantly influenced the performance of KM practices. These findings tend to corroborate our conceptual model and are also in line with the existing literature. KM infrastructure was found to be more significantly affecting KM performance than KM processes, indicating that the context and background of KM is more important than the application aspects of KM.Research limitations/implicationsThe findings in this paper cannot be generalized due to the case study approach. It may not be claimed that both KM processes and KM infrastructure solely determine the performance of KM practices. Instead, there are many other factors that may influence KM performance, which are somewhat beyond the scope of this research.Practical implicationsThe paper shows that the evaluation of KM performance is expected to increase the effectiveness, efficiency and adaptability of KM efforts so as to add more value to the overall performance of the organization.Originality/valueIn this paper there is little or no empirical evidence investigating the influence of KM infrastructure and KM processes on KM performance. This paper rectifies this imbalance by clarifying the link between KM infrastructure, processes and performance.

Purpose– This paper aims to find and rank the barriers of the four knowledge management (KM) processes including generation, storage, distribution and application in the gas and petroleum sector.Design/methodology/approach– Reviewing the literature of KM and organizational learning, this paper extracted all of the barriers which impede KM processes. Then it designed a questionnaire for validating, ranking and categorizing barriers. Totally, 190 completed questionnaires were gathered from 26 gas and petroleum companies in Iran. Some statistical tests such asT, Friedman, Kruskal–Wallis and Mann–Whitney were used for analyzing data.Findings– Findings reviewed the current literature of KM barriers, validated and ranked the barriers of knowledge generation, storage, distribution and application separately. The importance of knowledge generation and knowledge application barriers were significantly different between gas and petroleum companies. Hence they were disjointedly ranked for gas and petroleum. Finally, KM barriers were ranked according to their contribution to KM processes and the average mean of their importance in KM processes.Practical implications– From the practical point of view, this paper suggests managers of gas and petroleum companies to emphasize solving high-priority barriers according to the KM process which they are focused on. Furthermore, the study provides a checklist that can be used as an assessment tool for evaluating KM processes considering barriers.Originality/value– This paper finds the importance of each barrier for each of the four KM processes and ranks the “critical barriers” according to their contribution to four KM processes in the gas and petroleum sector.

Studies indicate that the knowledge management (KM) process, innovation capability, and performance are interrelated. However, prior literature is not conclusive regarding the implications derived from this relationship. Moreover, knowledge about the factors that influence this causal link remains limited. From the perspective of the Knowledge-Based View (KBV), this article explores the mediating role of the interactive use of Management Control Systems (MCS) and innovation capability in the relationship between the KM process and SMEs' performance. We conducted a positivist, explanatory, and non-experimental study using data collected through self-administered surveys to 389 managers in Colombia and Spain. A multiple mediation model was applied to test the hypotheses. The findings reveal a direct and significant effect of the KM process on the interactive use of MCS and innovation capability. However, the impact of these variables on performance was not significant, nor were the indirect effects. This study is novel because it contributes to the literature by demonstrating that, as in large organizations, the KM process is a key factor in strengthening innovation within the SMEs context. Furthermore, this research is one of the first to link the interactive use of MCS with the KM process, incorporating the reduction of uncertainty, a characteristic of organizational knowledge, as one of the objectives of management control. The positive effect of the interactive use of MCS on SMEs’ innovation capability suggests that their strategic flexibility supports their ability to learn and adapt.

Due to the strong competition that exists among organisations and the rapid change in the business environment, knowledge has turned out to become a key source for organisations to enhance the competitive advantage. Integrating Knowledge Management (KM) and Customer Relationship Management (CRM) process is a new research area, therefore, scientific research and literature around it remain limited. In addition, the impact of KM process on customer acquisition, retention, and expansion to improve customer satisfaction remains under study and report. The aim of this paper is to present a conceptual framework of KM integrated with CRM called Customer Knowledge Relationship Management (CKRM) Process depending on analysis of various models presented in KM and CRM. The main highlighting is laid upon the concepts of the concept of customer knowledge (knowledge about customer, knowledge for customer, knowledge from customer). Therefore, this paper contributes to the development of KM process (Knowledge Process about Customer, Knowledge Process for Customer, and Knowledge Process from Customer). The paper investigated how the companies in Jordan developed KM process to improvement the CRM process. Based on data collected from the company, results from analysis indicated that the KM process had a positive effect on CRM process.

Adopting green information technology (IT) systems has become crucial for improving the environmental sustainability of manufacturing firms. To drive the manufacturing process more appropriately, management and administrators recognize the importance of developing green IT systems aligned with knowledge management (KM) practices. To accomplish the study objective, experts were engaged in a study conducted in Henan manufacturing firms to share their knowledge on the factors that influence management’s intention to adopt green IT systems concerning KM. The study collected 324 valid responses from industrial experts in Henan manufacturing industries through survey questionnaires. Using structural equation modeling (SEM), the hypotheses were evaluated, and the significance of each factor in the model was determined. The SEM results revealed that the KM process interpretation significantly influences green IT systems to improve manufacturing process development. Furthermore, the study found that combining KM processes and green practices has a more substantial impact on improving the manufacturing process. This suggests that integrating knowledge management practices with green IT systems can lead to better environmental sustainability and overall performance in manufacturing firms. The findings of this study offer valuable insights for decision-makers and policymakers in formulating policies and programs to implement a green information system with green implementation processes effectively in the manufacturing sector. By adopting these strategies, manufacturing firms can contribute to environmental sustainability while simultaneously improving their overall performance.

This paper examines a framework between different knowledge management enablers (KMEs), knowledge management (KM) processes and organisational performance. Forty-six KMEs are selected from literature and experts' opinion from industry and academia. Further, these 46 KMEs are grouped into six major constructs. These KMEs supports the socialisation, externalisation, combination, internalisation (SECI) KM processes and organisational performance (operational performance, financial performance and customer satisfaction). The postal survey methodology is used to collect the data from Indian manufacturing organisations. The collected survey data was analysed for the construct, content, criterion-related validation and reliability analysis. Additionally, structural equation modelling (SEM) is used to test the relationship between KMEs, SECI KM process and organisational performance. The finding suggests positive relationship exists between KMEs, SECI KM process and organisational performance. The successful KMEs implementation improves the SECI KM processes which enhance the organisational performance.

This paper examines a framework between different knowledge management enablers (KMEs), knowledge management (KM) processes and organisational performance. Forty-six KMEs are selected from literature and experts' opinion from industry and academia. Further, these 46 KMEs are grouped into six major constructs. These KMEs supports the socialisation, externalisation, combination, internalisation (SECI) KM processes and organisational performance (operational performance, financial performance and customer satisfaction). The postal survey methodology is used to collect the data from Indian manufacturing organisations. The collected survey data was analysed for the construct, content, criterion-related validation and reliability analysis. Additionally, structural equation modelling (SEM) is used to test the relationship between KMEs, SECI KM process and organisational performance. The finding suggests positive relationship exists between KMEs, SECI KM process and organisational performance. The successful KMEs implementation improves the SECI KM processes which enhance the organisational performance.