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In this paper, the organism model for knowledge‐based enterprise is proposed. A dynamic capacity grey set is defined and analyzed based on the definition of the growth and development for knowledge‐based enterprise organism. The structure of the capacity whiten core, a subset of the capacity grey set, is optimized for different periods of the organism's life cycle. The organism grey topological structure model of knowledge‐based enterprise is described to possess the essential capacity grey set.

Traditional case-adaptation methods have poor accuracy, low efficiency and limited applicability, which cannot meet the needs of knowledge users. To address the shortcomings of the existing research in the industry, this paper proposes a case-adaptation optimization algorithm to support the effective application of tacit knowledge resources.

The attribute simplification algorithm based on the forward search strategy in the neighborhood decision information system is implemented to realize the vertical dimensionality reduction of the case base, and the fuzzy C-mean (FCM) clustering algorithm based on the simulated annealing genetic algorithm (SAGA) is implemented to compress the case base horizontally with multiple decision classes. Then, the subspace K-nearest neighbors (KNN) algorithm is used to induce the decision rules for the set of adapted cases to complete the optimization of the adaptation model.

The findings suggest the rapid enrichment of data, information and tacit knowledge in the field of practice has led to low efficiency and low utilization of knowledge dissemination, and this algorithm can effectively alleviate the problems of users falling into “knowledge disorientation” in the era of the knowledge economy.

This study provides a model with case knowledge that meets users’ needs, thereby effectively improving the application of the tacit knowledge in the explicit case base and the problem-solving efficiency of knowledge users.

The adaptation model can serve as a stable and efficient prediction model to make predictions for the effects of the many logistics and e-commerce enterprises' plans.

This study designs a multi-decision class case-adaptation optimization study based on forward attribute selection strategy-neighborhood rough sets (FASS-NRS) and simulated annealing genetic algorithm-fuzzy C-means (SAGA-FCM) for tacit knowledgeable exogenous cases. By effectively organizing and adjusting tacit knowledge resources, knowledge service organizations can maintain their competitive advantages. The algorithm models established in this study develop theoretical directions for a multi-decision class case-adaptation optimization study of tacit knowledge.

This study aims to focus on a key unanswered question about how digitalization and the knowledge processes it enables affect firms’ strategies in the international arena.

The authors conduct a systematic literature review of relevant theoretical and empirical studies covering over 20 years of research (from 2000 to 2023) and including 73 journal papers.

This review allows us to highlight a relationship between firms’ international strategies and the knowledge processes enabled by applying digital technologies. Specifically, the authors discuss the characteristics of patterns of knowledge flows and knowledge processes (their origin, the type of knowledge they carry on and their directionality) as determinants for the emergence of diverse international strategies embraced by single firms or by populations of firms within ecosystems, networks, global value chains or alliances.

Despite digital technologies constituting important antecedents and critical factors for the internationalization process, and international businesses in general, and operating cross borders implies the enactment of highly knowledge-intensive processes, current literature still fails to provide a holistic picture of how firms strategically use what they know and seek out what they do not know in the international environment, using the affordances of digital technologies.

This paper seeks to present a theoretical framework with the aim of contributing to improved understanding of how reflection can provide a mechanism to integrate research‐based knowledge with the pre‐existing practice‐based knowledge.

The paper begins with an explanation of important concepts: research‐based and practice‐based knowledge, four levels of action and two modes of learning. Two mini cases concerning managers in the public sector in Sweden then provide an illustration of how research‐based knowledge can be utilized to challenge practice‐based knowledge. The concluding discussion addresses some of the challenges involved in achieving reflection in the workplace that utilizes research‐based knowledge.

The reflection programmes had several characteristics that facilitated their implementation: they achieved a balance between the workplace demands on the participating managers and time required for the reflection; the participants were specifically recruited, had full management support and were highly motivated to be part of the reflection groups; the facilitators played key roles in structuring the managers' discussions and linking their experiences to relevant research‐based knowledge.

Methodological limitations of the cases constrain the conclusions to be drawn from these studies. However, it should be emphasized that the case studies were intended primarily as illustrations of how workplace reflection can be used to integrate research‐based and practice‐based knowledge. Obviously, there is a risk of social desirability bias because the interviewer was also involved in developing and implementing the reflection programmes. She also participated as a supervisor in mini case 2.

The literature on reflection has largely focused on reflection in the context of education, training and preparing for work or a profession. The role of workplace reflection and learning for practitioners and managers in work has received far less attention. The emergence of the evidence‐based practice (EBP) agenda has further highlighted the importance of workplace learning and reflection, as practitioners are increasingly expected to critically appraise research studies and integrate new findings into their practice. A more EBP requires reflecting practitioners who are able to synthesize research‐based knowledge with their own practice‐based knowledge acquired through experience. However, the process of integrating research‐based and practice‐based knowledge has not been the focus of much study.

We examine how knowledge‐intensive firms modify their organizational knowledge bases in the context of mobility of researchers. Building on a dynamic capabilities perspective, we propose a conceptual model of firm knowledge base dynamics that clearly distinguishes between two mechanisms: (1) changes in a firm’s pool of researchers and (2) a firm’s ability to reconfigure knowledge. Our model posits that these two mechanisms interact to affect the type of variation in a firm’s knowledge base and elucidates how firms deploy knowledge from different domains.

This study aims to explore whether digital platform capabilities (integration and reconstruction) affect technological innovation through knowledge bases in the dimensions of breadth and depth and the moderating role of organisational routines updating.

Hierarchical regression, mediation effect test macro and bootstrap were conducted to empirically analyse two waves of longitudinal survey data from 179 Chinese technology firms.

Results confirmed that knowledge bases (breadth and depth) mediated the effect of digital platform capabilities (integration and reconstruction) on technological innovation and that updating of organisational routines moderated the relationship between knowledge bases and technological innovation.

These findings offer guidance to firms that aim to achieve technological innovation and advantages, highlighting the importance of digital platform capabilities, knowledge bases and organisational routines updating.

Advancing from existing digital strategies and firm innovation literature, the authors provide a new perspective (knowledge bases) to respond to the information technology (IT) paradox and understand the role of digital platform capabilities in improving technological innovation.

Achieving natural interactions by means of vision and speech between humans and robots is one of the major goals that many researchers are working on. This paper aims to describe a gesture‐based human‐robot interaction (HRI) system using a knowledge‐based software platform.

A frame‐based knowledge model is defined for the gesture interpretation and HRI. In this knowledge model, necessary frames are defined for the known users, robots, poses, gestures and robot behaviors. First, the system identifies the user using the eigenface method. Then, face and hand poses are segmented from the camera frame buffer using the person's specific skin color information and classified by the subspace method.

The system is capable of recognizing static gestures comprised of the face and hand poses, and dynamic gestures of face in motion. The system combines computer vision and knowledge‐based approaches in order to improve the adaptability to different people.

Provides information on an experimental HRI system that has been implemented in the frame‐based software platform for agent and knowledge management using the AIBO entertainment robot, and this has been demonstrated to be useful and efficient within a limited situation.

Fixture design is a complicated task requiring both intensive knowledge and experience. This paper aims to present a computer-aided fixture design (CAFD) system framework based on design reuse technology.

Fixture design domain ontology is constructed by analyzing fixture design document corpus. A design reuse engine is proposed to realize fixture design knowledge retrieval and fixture model retrieval based on ontology and find fixture design cases similar to fixture design problem, and then use evolutionary methods to modify the retrieved model to meet the design requirements and then generate a new fixture.

The paper finds that the proposed framework is an efficient tool to improve efficiency of fixture design.

Fixture design existing experience and cases can be used efficiently reused and to advance new fixture design processes.

This paper presents a CAFD system framework capable of carrying out fixture design through full using of the existing fixture design resource and experienced knowledge.

Web based knowledge management systems have opened new arrays in the present web based world. Because of innumerable features, they have become the first hand choice of every organization. The objective of this paper is to propose a web based knowledge management system for university libraries that will support the creation, organization, storage, dissemination and utilization of the institution's digital knowledge assets. The paper also aims to illustrate the requirements of a web based knowledge management system (WBKMS) for university libraries along with their key advantages.

Existing web based knowledge management systems were surveyed and a model framework was developed keeping in view the prevailing loopholes in the present systems.

The study evolves into a model web based knowledge management system catering for the needs of the users in the present bit and byte world.

Further research can be conducted into designing web based knowledge management systems keeping in view the needs and behavior of the users they serve. Deep log analysis of the academically endeavored web based systems can be carried out for working out a better and productive WBKMS.

The outcome of the research will improve staff professionalism and will help in achieving coordination with other libraries and library users. Knowledge innovation in a web‐based environment will help in the creation of better and enlightened knowledge based society.

The technologies discussed will help in achieving satisfaction levels both on the part of users as well as library professionals. The whole behavior of seeking information and knowledge will change because of generation, sharing and management of information and knowledge in a virtual mode. Such systems will help organizations strategically when their branches are located in different geographical locations and this will give a platform to the members/employees to share best practices, problems, customer interactions, and prevent reinvention of the wheel.

The purpose of this paper is to delve into the intricate depths surrounding the development of sustainable supply chains by conceptualizing the elemental aspects of superior performance in sustainable supply chain management (SSCM).

The paper is conceptual in nature and is grounded in the theories of SSCM and knowledge-based view.

The findings outline the elemental background processes governing the implementation of SSCM practices and superior performance outcomes. The conceptualization suggests that the superior performance of a sustainable supply chain is elementally dependent on the intricate efforts – to enrich the supply chain knowledge base with perspectives on SSCM. Thereby, these intricate efforts are delineated along the arcs of supply chain leadership, supply chain learning orientation, supply chain knowledge management (SCKM) and supply chain knowledge transfer. As such, while an SSCM orientation within the supply chain leadership is helpful in offsetting the inertia among the supply chain members to channelize intricate efforts in SSCM, the SSCM-based supply chain learning orientation further orientates the SSCM efforts of supply chain members toward the excavation of new knowledge in the frame of SSCM. Subsequently, the arcs of SSCM-based SCKM and SSCM-based supply chain knowledge transfer characterize the finer spaces of knowledge excavating actions, essential for enriching the supply chain knowledge base with perspectives on SSCM.

This conceptualization facilitates intriguing theoretical explanations to the linkage between SSCM implementation and superior performance outcomes. Specifically, from the knowledge-based angle, it delineates the root causes governing the superior/inferior nature of SSCM outcomes.