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This research paper aims to explore the added value of knowledge management (KM) and its antecedents for innovation and organizational performance (OP) in marginal healthcare organizations.

Using insights from the resource-based view and knowledge-based theory of the firm, the model explains the effects of technology capabilities (TC) and organizational culture (OC) on the KM process, process innovation (PIN), administrative innovation (AIN) and OP. The authors used partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to analyze data collected from 168 healthcare practitioners in Cameroon using a survey.

The authors reveal that TC and OC positively impact some KM components. Knowledge sharing (KS), knowledge acquisition (KA) and responsiveness to knowledge (RK) influence PIN, while only PIN and KA influence OP. FsQCA provided several configurations that lead to high OP within healthcare centers. As a result, the results are adaptable to any healthcare center that wishes to set up one or more KM processes.

Given that the results will help the health workforce make concerted decisions about medical care, the authors contribute significantly to the definition and optimization of KM in healthcare by implementing various processes and policies to ensure the continued existence of high-quality and outstanding healthcare systems. The KM propositions will enable healthcare centers to: (1) improve the quality of patient care through collegiality in medical practice; (2) optimize processes in the patient care chain; and (3) leverage knowledge gained though knowledge sharing among the medical team. The propositions open up avenues for future research in addition to providing practical implications for healthcare center practitioners.

This study sheds new empirical light on the relationships between KM antecedents and processes, innovation and OP in healthcare centers. This research is one of the few to examine the relationship between TC, OC, KM processes, innovation and OP in developing countries. This paper aims to fill this gap and inform future research concerning KM in the healthcare sector. Further, this study goes beyond testing the PLS-SEM approach's hypotheses by applying fsQCA to provide practical and comprehensive knowledge on how to increase the efficiency of a healthcare center through KM.

Constructed upon knowledge-based view theory, this study investigates the influence of internal marketing (IM) on knowledge management (KM) processes in higher educational institutes (HEIs) in China and Pakistan. The study investigates the direct link between KM processes and organizational performance and indirect links via knowledge workers' productivity (KWP).

Data were collected from HEIs in China and Pakistan, and 784 survey responses were reported from academic and administrative staff (HEIs).

The result revealed that IM has a significant impact on KM processes, and KM processes impact organizational performance via the partial mediating effect of KWP in China, Pakistan and the overall sample. The multi-group analysis confirmed the substantial differential effect of KM processes on KWP in culturally different HEIs.

A lack of research establishes the inter-relationship between KM enabler (IM), KM processes, KWP and organizational performance in culturally diverse environments. This is one of the initial studies that examine the relationship between IM, KM processes, KWP and organizational performance in HEIs. Furthermore, this study contributes to the existing body of knowledge by conducting an in-depth empirical examination of IM, KM processes, KWP and OP in culturally diverse environments (i.e. China and Pakistan).

1. This research examines the influence of internal marketing (IM) on knowledge management (KM) processes by using knowledge workers' productivity (KWP) as a mediator between knowledge management (KM) and organizational performance.

2. Through the partly mediating effect of KWP, it was discovered that IM considerably influenced knowledge management processes and organizational performance in China, Pakistan and throughout the sample.

3. The multi-group analysis indicates that KMPs have a statistically significant influence on KWP.

This research examines the influence of internal marketing (IM) on knowledge management (KM) processes by using knowledge workers' productivity (KWP) as a mediator between knowledge management (KM) and organizational performance.

Through the partly mediating effect of KWP, it was discovered that IM considerably influenced knowledge management processes and organizational performance in China, Pakistan and throughout the sample.

The multi-group analysis indicates that KMPs have a statistically significant influence on KWP.

Employee 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.

To 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.

The 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.

This 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.

The 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.

Supply chain resilience and knowledge management (KM) processes have received increasing attention from researchers and practitioners. Nevertheless, previous studies often treat the two streams of literature independently. Drawing on the knowledge-based theory, this study aims to reconcile these two different streams of literature and examine how and when KM processes influence supply chain resilience.

This research develops a conceptual model to test a sample of data from 203 Chinese manufacturing firms using a structural equation modeling method. Specifically, the current study empirically examines how KM processes affect different forms of supply chain resilience (supply chain readiness, responsiveness and recovery) and examines the moderating effect of blockchain technology adaptation and organizational inertia on the relationship between KM processes and supply chain resilience.

The findings show that KM processes positively affect three dimensions of supply chain resilience, i.e., supply chain readiness, responsiveness and recovery. Besides, the study reveals that blockchain technology adoption positively moderates the relationships between KM processes and supply chain resilience, whereas organizational inertia negatively moderates these above relationships.

This research linked the two research areas of supply chain resilience and KM processes, further bridging the gap in the research exploration of KM in the supply chain field. Next, this study contributes to supply chain resilience research by investigating how KM systems positively impact supply chain readiness, responsiveness and recovery. In addition, this study found a moderating effect of blockchain technology adaption and organizational inertia on the relationship between KM processes and supply chain resilience. These findings provide a reference for Chinese manufacturing firms to strengthen supply chain resilience, achieve secure supply chain operations and gain a competitive advantage in the supply chain. This studys’findings advance the understanding of supply chain resilience and provide practical implications for supply chain managers.

This study aims to examine the relationship between green technology implementation (GTI), knowledge management (KM) process and knowledge workers' operational performance (KWOP). The research postulates that a specific combination of GTI and KM processes can lead to improving KWOP.

The sample data (304) were taken from those manufacturing firms that are utilizing green technology. The examination was conducted by Smart PLS-SEM and fuzzy set qualitative comparative analysis (fsQCA). The Smart PLS 3.29 is used to verify certain variable relationships. Moreover, fsQCA is used to investigate multiple configuration paths to enhance KWOP.

The study's outcome indicated that GTI positively influences the KM process in manufacturing firms, and the KM process enormously improves KWOP. The fsQCA analysis result explores various integrations (communication, collaboration, supporting role and improved performance) with the KM (acquisition, sharing and utilization) process identified to enhance the performance of KWOP. The current study supports two merging methods to deepen understanding of employee operational performance.

The study methodologically contributes by integrating direct and configuration approaches to develop firms' operational performance. This study contributes to bridging research gaps in the prior literature and advances insight into the association between GTI, KM process and KWOP.

Drawing on the knowledge-based view (KBV), the purpose of the study is to examine the impact of collaborative culture (CC) on frugal innovation (FI). It also advances insight into the pathways for stimulating distinct aspects of innovation capacity by assessing the mediating effects of knowledge management (KM) processes and the moderating role of perceived organizational support (POS).

Based on the data gathered from 430 participants from 80 Pakistani manufacturing and service firms, this study used structural equation modeling to evaluate hypotheses in the established research model.

The findings reveal that CC positively fosters the KM processes and different aspects of FI. The results indicated the positive direct impact of KM processes on frugal functionality (FF) and frugal cost (FC) while insignificant on the frugal ecosystem (FE). This study found partial mediation of KM processes on the relationship among CC, FF and FC, but the KM process does not mediate the relationship between CC and FE. The results also demonstrated that POS moderation enhances the impacts of CC on KM processes and FF while notably weakening the impacts of CC on FC and FE.

To understand the crucial role of knowledge capital in companies’ innovation capability, future research should examine the mediating function of KM capability (knowledge process capability and knowledge infrastructure capability) and moderating role of environmental turbulence in the relationship between CC and different aspects of innovation capability.

This study significantly advances a better understanding of the relationship between CC and specific facets of innovation capacity by emphasizing the importance of driving the KM process and improving POS.

This study has contributed to the theoretical and practical efforts on KBV, emphasizing the critical importance of CC in fostering a conducive environment for KM processes and innovation.

The study explores the impact of knowledge management (KM) enablers, i.e. trust and organizational climate, on KM processes. The study further observes the indirect relationship of KM processes on organizational performance via the mediating role of knowledge workers' satisfaction in cross-cultural settings.

This research used a survey of 784 educational and administrative personnel from higher education institutions (HEIs) in Pakistan and China. Smart Partial Least Square (PLS) 3.2.9 was employed to perform the analysis.

The result shows that trust and organizational climate influences KM processes, and these KM processes, in turn, impact organizational performance via the partial mediating effect of knowledge worker satisfaction (KWS) in Pakistan. The multi-group analysis confirmed the substantial differential effect of KM processes on KWS in culturally different HEIs. At the same time, the study's overall sample substantiated full mediation in China. Furthermore, the impact of KM processes on organizational performance did not substantiate in China.

Outcomes of this research affirm KM university practice and recommend how higher education academics and administrators prioritize trust, organizational climate, KM processes, and KWS while strengthening organizational performance in a culturally different environment.

A lack of research ascertains the inter-relationship between trust, organizational climate, KM processes, KWS, and organizational performance in culturally different environments. This is one of the initial studies that examine the relationship between trust, organizational climate, KM processes, KWS, and organizational performance in HEIs. The study empirically examines the inter-relationships among these variables and enlightens insights into the current literature by immediately investigating the mediating role of KWS in culturally different environments.

Study on knowledge-based systems for scientific publications is growing very broadly. However, most of these studies do not explicitly discuss the knowledge management (KM) component as knowledge management system (KMS) implementation. This background causes academic institutions to face challenges in developing KMS to support scholarly publication cycle (SPC). Therefore, this study aims to develop a new KMS conceptual model, Identify critical components and provide research gap opportunities for future KM studies on SPC.

This study used a systematic literature review (SLR) method with the procedure from Kitchenham et al. Then, the SLR results are compiled into a conceptual model design based on a framework on KM foundations and KM solutions. Finally, the model design was validated through interviews with related field experts.

The KMS for SPC focuses on the discovery, sharing and application of knowledge. The majority of KMS use recommendation systems technology with content-based filtering and collaborative filtering personalization approaches. The characteristics data used in KMS for SPC are structured and unstructured. Metadata and article abstracts are considered sufficiently representative of the entire article content to be used as a search tool and can provide recommendations. The KMS model for SPC has layers of KM infrastructure, processes, systems, strategies, outputs and outcomes.

This study has limitations in discussing tacit knowledge. In contrast, tacit knowledge for SPC is essential for scientific publication performance. The tacit knowledge includes experience in searching, writing, submitting, publishing and disseminating scientific publications. Tacit knowledge plays a vital role in the development of knowledge sharing system (KSS) and KCS. Therefore, KSS and KCS for SPC are still very challenging to be researched in the future. KMS opportunities that might be developed further are lessons learned databases and interactive forums that capture tacit knowledge about SPC. Future work potential could identify other types of KMS in academia and focus more on SPC.

This study proposes a novel comprehensive KMS model to support scientific publication performance. This model has a critical path as a KMS implementation solution for SPC. This model proposes and recommends appropriate components for SPC requirements (KM processes, technology, methods/techniques and data). This study also proposes novel research gaps as KMS research opportunities for SPC in the future.

Fish quarantine is a measure to prevent the entry and spread of quarantine fish pests and diseases abroad and from one area to another within Indonesia's territory. Based on these backgrounds, this study aims to identify the knowledge, knowledge management (KM) processes and knowledge management system (KMS) priority needs for quarantine fish and other fishery products measures (QMFFP) and then develop a classification model and web-based decision support system (DSS) for QMFFP decisions.

This research methodology uses combination approaches, namely, contingency factor analysis (CFA), the cross-industry standard process for data mining (CRISP-DM) and knowledge management system development life cycle (KMSDLC). The CFA for KM solution design is performed by identifying KM processes and KMS priorities. The CRISP-DM for decision classification model is done by using a decision tree algorithm. The KMSDLC is used to develop a web-based DSS.

The highest priority requirements of KM technology for QMFFP are data mining and DSS with predictive features. The main finding of this study is to show that web-based DSS (functions and outputs) can support and accelerate QMFFP decisions by regulations and field practice needs. The DSS was developed using the CTree algorithm model, which has six main attributes and eight rules.

This study proposes a novel comprehensive framework for developing DSS (combination of CFA, CRISP-DM and KMSDLC), a novel classification model resulting from comparing two decision tree algorithms and a novel web-based DSS for QMFFP.

Knowledge management (KM) and intellectual capital (IC) are believed to influence each other, and the relationship between the two constructs is of vital importance to organizational effectiveness. While a two‐way relationship between KM and IC is conceivable, the relevant empirical research has yet to produce satisfactory evidences on the nature of the relationship between the two constructs. This paper aims to empirically investigate the plausible KM‐IC two‐way relationship in the Egyptian software industry.

This research adopts a cross‐sectional field survey strategy. It adopts a research model depicting a two‐way relationship between KM processes and IC dimensions. Two sets of hypotheses describing the predicted mutual influence between KM and IC are proposed. An instrument was adopted to collect the required data set on KM processes and IC dimensions from 38 Egyptian software firms. The partial least squares (PLS) procedure was used to assess the measurement model and test the research hypotheses.

The analysis revealed three patterns of relationships between KM and IC: one‐way influence from KM to IC (e.g. knowledge application influences each of human capital, organizational capital, and relational capital; one‐way influence from IC to KM (e.g. human capital influences knowledge acquisition and knowledge transfer); and two‐way influence between KM and IC (e.g. between knowledge documentation and organizational capital, between knowledge transfer and relational capital).

Contrary to most of the prior KM‐IC relevant research, this research has adopted a comprehensive research model and research method to facilitate the exploration of the mutual influences between KM processes and IC dimensions in the Egyptian software industry. To a certain extent, the research findings confirm and support the general proposition of a mutual KM‐IC relationship. These findings should contribute to the growing research efforts aiming at developing models that can provide a better explanation of the complex KM‐IC relationship phenomenon.