Knowledge Management Approach Research Articles

RPL Management Model for Capacity Building of Village Apparatus: A Case Study on Cooperation between Surabaya State University and Bojonegoro District Government

Law Number 23 of 2014 grants regional autonomy, which means that each regional institution is authorized to manage its own policies. This includes village governments, which are regulated by Law Number 6 of 2014. Therefore, it is crucial to have competent village personnel who can provide exceptional services to the citizens. In 2021, 45,387 village heads, 43,876 village secretaries, 31,147 village-owned enterprise managers, and 7,889 professional assistants graduated from high school, according to data from the Ministry of Village, Development of Disadvantaged Regions, and Transmigration. This highlights the need to strengthen the education of village apparatus. One way to achieve this is through the Recognition of Prior Learning (RPL) program, which is a collaboration between the Ministry and universities such as the State University of Surabaya and the State University of Yogyakarta. This program can help improve the skills of village apparatus. However, there is a gap between the reality and the implementation of the collaboration between the Ministry and Pertindes regarding the implementation of RPL for village apparatus. In Bojonegoro Regency, for instance, only 61% of village heads had a high school educational background in 2022, according to the Office of Community Empowerment and Village Government. To address this issue, the researcher aims to understand the management of RPL in Bojonegoro Regency to improve the capacity of village apparatus. The research is based at the State University of Surabaya and Bojonegoro Regency. The study obtained primary data from interviews, literature studies, and a memorandum of understanding between the State University of Surabaya (UNESA) and the Bojonegoro Regency Government. The researcher used a knowledge management approach in program planning, which focused on six main stages in development planning. These stages included problem identification, problem diagnosis, design stage, design implementation, design testing, and solution formulation. The results of the study showed that collaboration and support from educational institutions are strategic solutions for improving village human resources. Additionally, the RPL program is relevant to the functions of higher education institutions in preparing personnel for village government administration. The implementation of RPL in Bojonegoro is in accordance with the principles of cooperation. However, there were some technical obstacles in the implementation of activities.

The challenges in integrating ESG factors into banks’ credit department: a knowledge management enhanced framework

Purpose Assuming that knowledge management is a pivotal issue in business to improve and maintain competitive advantages, this paper aims to investigate how knowledge management is useful to face challenges about the integration of environment, social and governance (ESG) factors, filling the gap in the literature regarding knowledge management and ESG in the banking world by considering a real case. Design/methodology/approach Starting from the analysis of the more relevant literature on the topic, this paper describes an illustrative real case through interviews with the credit department of an Italian bank that has adopted a specific sustainability approach. This paper discusses this case in the context of the outlined theoretical background to explore the trends and challenges of ESG integration. The case study allows us to evaluate and expand our theoretical framework, leading to a greater understanding of the complex phenomenon under investigation. Findings Based on the analysis of the literature combined with the insights that emerged from the experience of the real case, this study shows that there are three primary factors to consider: data issues, competencies and workflow. This study outlines an enhanced knowledge management framework displaying the complexity emerging from the integration of ESG into a bank’s credit department and identify the best practices to pursue. Practical implications Given the increasing pressure toward the incorporation of ESG factors into the banking sector, the practical implications of the study are relevant as they provide guidelines for action. Specifically, the practical problems highlighted by the real case, like the priority on themes such as questionnaires, the need for ad hoc commissions and workflow, drive the attention of decision-makers on key aspects to effectively adopt an advanced knowledge management approach aimed at improving the ESG integration. Considering the effect of the banking system on the economy, the best practices this study has identified can also have a positive impact on society as a whole. Originality/value The proposed enhanced knowledge management framework offers a guideline to orchestrate ESG integration into banks’ credit departments, considering the increasing need to frame a sustainability-oriented strategic approach that emerges from academic and practical enquiries. This research represents an initial attempt to investigate the integration of ESG factors in the banking system through the lens of knowledge management. The strategic nature of the ESG approach clearly appears in a dynamic environment where stakeholder pressures and regulatory evolutions are strong.

Visualizing the Future of Knowledge Sharing in SMEs in the Construction Industry: A VOSviewer Analysis of Emerging Trends and Best Practices

This review paper systematically synthesizes existing literature on knowledge sharing (KS) and knowledge transfer (KT) in the context of small and medium-sized enterprises (SMEs) in the construction industry, updating previous research and making predictions about emerging issues. The comprehensive literature review employs three different bibliometric techniques: (1) textual analysis of keywords and abstracts to identify relevant research areas, (2) cocitation analysis of references to analyze the evolution of KS and KT in SMEs, and (3) bibliographic linkage analysis of documents to summarize the background and results. The resulting conceptual map outlines the historical development of KS and KT at individual, group, and organizational levels in the construction industry. The study emphasizes the critical significance of KS and KT for SMEs in this industry. It highlights the role of innovation and open innovation in facilitating the successful implementation of KS and KT. The analysis also reveals the need for enhanced knowledge management in SMEs through better data management, implementation of digital systems for internal management, identification of inefficiencies in KT in collaborative networks, and adjustment of knowledge management approaches to suit different cultural and geographic contexts. Finally, the paper suggests future trends in KS and KT, emphasizing the importance of collaboration, continuous learning, technological capabilities, and developing a suitable organizational culture and structure for open innovation in the construction industry. This article offers an innovative approach to KS and KT in SMEs and practical recommendations for improving knowledge management and innovation capacity in construction-related businesses. Its systematic approach and focus on SMEs in the construction industry make it highly relevant for research and business practice.

Dealing with the coronavirus disease through a social knowledge management approach: The case of Iranian coronavirus patients in Tehran

Managing social crises requires collective wisdom and social knowledge. Social Knowledge Management (SKM) plays a key role in dealing with social crises such as the coronavirus disease. This research aims to describe the practices of SKM from the perspective of recovered coronavirus patients in Tehran, Iran, in response to the coronavirus disease, through semi-structured interviews. The findings revealed that various elements (such as social capital, networks, media, learning, benefits, and social systems), factors (including knowledge providers and recipients, social actors, knowledge capital, and skill capital), processes (such as acquisition, application, sharing, transferring, creation, storage, and knowledge organization), and roles of SKM (internalization, socialization, externalization, and the combination of social knowledge) are effective in preventing the spread of coronavirus disease on a large scale. This research concludes that the utilization of SKM by health policymakers effectively prevents social crises and can help increase public awareness and utilization of the elements, factors, processes, and roles of social knowledge in health to prevent coronavirus disease.

Impact of Competitive Strategy, Decision Making Style, Innovativeness and Risk Management on Knowledge Management Practices

This study fills an urgent gap in need of a complete picture of the complicated relationships between organizational traits and Knowledge Management approaches amid Lahore's traditional financial institutions, Pakistan. This research relates to studying how risk management, innovation strategies or decision-making styles affect the knowledge environment within these firms. This paper adopts a positivist philosophy for research and is combined with the use of quantitative methods. Smart PLS software is used to perform Structural Equation Modeling (SEM) on the data obtained. Responses came from a sample of 380 bank managers, comprising the dataset used for analysis. These results suggest that there are some areas in which organizational interventions aimed at knowledge management could be especially effective (e.g., the strong and reliable positive relationships between insights into how organizations use information, competitive strategy, decision-making styles, innovativeness, and risk management). The following results, through verifying and elaborating upon these existing conceptual frameworks while at the same time providing practical applicability for participants in this specific field of study, also serve to add depth theory side of knowledge management. This will provide us with a better understanding of Knowledge Management processes in many kinds of organizations. Because this research makes use of cross-sectional data, the capacity to establish causal relationships between variables is limited. It is a key study for organizations, employees, executives, and policy makers.

From Digital Twins to Digital Selves and Beyond – Perspectives for Social Modelling in a Trans-Humanist World

The continuous propagation of Artificial Intelligence (AI) techniques has led to engineering of so-called “humanoid” socio-technical settings, which include mimicking cognitive and social skills. With the advent of cyber-physical systems Digital Twins have become baseline representations of systems integrating cognitive and social behaviour models. When AI components become part of those representations capturing social relations and reflecting on behaviour, they are termed Digital Selves, and require specific development techniques. In this paper, we introduce a Knowledge Management approach to investigate the emergence of socially reflective behaviour like awareness and consciousness in artificial agents. We identify and explain mandatory properties of Digital Selves relevant for modelling digital societies that need to be studied and become part of a transparent and explainable knowledge base for trans-human developments.

From Academic Design Science Research to Start-up: Building a Digital Platform Ecosystem to Promote a Sustainable Knowledge Co-Creating Community

As the new digital era is accompanied by accelerating change, people as well as institutions need to adapt and transform. Crucial for their success is how well leaders can cultivate the absorption and sharing of knowledge as a resource and its integration into the organisational endeavours. Innovative system designs may prove vital to providing crucial support.
 Based on a prior academic design science research project and published outputs, a recently established start-up aims to create a digital community platform for knowledge co-creation to serve members with diverse ambitions and potentials in their personal and collaborative contexts. The digital platform ecosystem follows a novel knowledge management approach by favouring personalization, mobility, generativity, and entropy reduction. How to sustainably address the inherent system complexities and scaling needs in an entrepreneurial environment known for short iterative cycles of minimum viable developments have proven to be an expected challenge, closely followed by the limited power of academic detail and lingo to create enthusiasm in start-up spaces where attention slots are measured in pitch decks and elevator rides.
 This paper looks at this particular case and at the lessons learnt in the transition phase from academia to a business incubation space and, hence, aims to contribute to the discourse between scholars, practitioners, and clients on how digital entrepreneurship and innovation spaces may be best served for mutual benefit.

The role of knowledge boundary resources for platform ecosystems – insights and design implications from SAP's Business Technology Platform

Platform ecosystems shift the locus of innovation from internal departments to third‐party developers, leading to knowledge boundaries between the platform owner and these external developers. Whereas traditional knowledge management approaches focus on intra‐organizational knowledge sharing, platform owners have to adopt an inter‐organizational approach to integrate knowledge across firm boundaries. Platform owners thus rely on knowledge boundary resources such as technical documentation, information portals, training materials, sample code, blogs, and online communities to overcome knowledge boundaries in their ecosystems. Existing research has identified different types of knowledge boundaries and knowledge boundary resources, but further research is needed to clarify how they influence third‐party application development. Against this background, we study how third‐party developers integrate knowledge boundary resources into their development practices. To derive an in‐depth understanding of the phenomenon, we used cognitive fit theory and conducted a single case study of SAP's Business Technology Platform. Based on 23 interviews, we developed a process model and distilled two primary purposes why third‐party developers use knowledge boundary resources: learning and problem‐solving. Based on these purposes, we explain the emergence of a knowledge boundary resource‐purpose fit that shapes the selection, evaluation, and usage of knowledge boundary resources. We then draw upon various knowledge boundary resource characteristics to condense four cases with a particularly favorable knowledge boundary resource‐purpose fit. Based on our results, we derive five propositions to help platform owners design effective knowledge boundary resources.

Construction and application of knowledge graph for construction accidents based on deep learning

PurposeLearning from safety accidents and sharing safety knowledge has become an important part of accident prevention and improving construction safety management. Considering the difficulty of reusing unstructured data in the construction industry, the knowledge in it is difficult to be used directly for safety analysis. The purpose of this paper is to explore the construction of construction safety knowledge representation model and safety accident graph through deep learning methods, extract construction safety knowledge entities through BERT-BiLSTM-CRF model and propose a data management model of data–knowledge–services.Design/methodology/approachThe ontology model of knowledge representation of construction safety accidents is constructed by integrating entity relation and logic evolution. Then, the database of safety incidents in the architecture, engineering and construction (AEC) industry is established based on the collected construction safety incident reports and related dispute cases. The construction method of construction safety accident knowledge graph is studied, and the precision of BERT-BiLSTM-CRF algorithm in information extraction is verified through comparative experiments. Finally, a safety accident report is used as an example to construct the AEC domain construction safety accident knowledge graph (AEC-KG), which provides visual query knowledge service and verifies the operability of knowledge management.FindingsThe experimental results show that the combined BERT-BiLSTM-CRF algorithm has a precision of 84.52%, a recall of 92.35%, and an F1 value of 88.26% in named entity recognition from the AEC domain database. The construction safety knowledge representation model and safety incident knowledge graph realize knowledge visualization.Originality/valueThe proposed framework provides a new knowledge management approach to improve the safety management of practitioners and also enriches the application scenarios of knowledge graph. On the one hand, it innovatively proposes a data application method and knowledge management method of safety accident report that integrates entity relationship and matter evolution logic. On the other hand, the legal adjudication dimension is innovatively added to the knowledge graph in the construction safety field as the basis for the postincident disposal measures of safety accidents, which provides reference for safety managers' decision-making in all aspects.

Development of knowledge management for viscosity of nanolubricant in hot and cold lubrication conditions

The optimization and prediction of SAE40 based nanofluid (NF) viscosity with a knowledge management approach have been discussed using Response surface methodology (RSM). The used data are independent variables (SR,T,SVF) and viscosity as the response or the dependent variable. For this purpose, in the first step, six RSM models were analyzed compared to select a model accurately in ANOVA terms and statistical plots and Fifth model with values of R2 = 0.9832, R2-adjusted= 0.9768 and Margin of Deviation −17 <MOD< +15 has the most accurate among the selected models. The findings have shown that, according to the correlation relationship presented based on the selected model, behavior of NF is non-Newtonian. Also, in interaction between the independent variables, NF viscosity gradually decreases with increase in T and gradually increases with the increase in SVF. Thus, the highest viscosity (in SVF= 0.0625 % and T = 25 °C) is 497 mPa.sec and lowest value (in T = 50 °C and SVF=0.125 %) is 69.7 mPa.sec. In optimization section, to find the most optimal viscosity in hot and cold temperature conditions with the lowest amount of ZnO nanoparticles (NPs) use, the viscosity value for two cases was obtained as 202.07 mPa.sec and 190.36 mPa.sec, respectively. Also, the implementation of knowledge management steps in NFs, in addition to collecting information, storing and accessing various resources, brings a wide range of benefits to researchers and industrialists.

Proposing Business Growth of PT. DECRA Group Indonesia through Knowledge Management

The informatics industry market has shown promising growth in the post-COVID era, presenting certification companies with lucrative business opportunities. The informatics market’s GDP growth rate ranks fourth among other fastest-growing industries in Indonesia, demonstrating a 7.19% increase from 2022 to 2023. PT. DECRA Group Indonesia, a certification company, have intention to penetrate a new market which is IT Industry. Knowledge plays a crucial role in the certification process, especially ISO auditors are required extensive knowledge across various business types. Therefore, this research focuses on exploring the role of knowledge management in supporting the growth of PT. DECRA Group Indonesia. The study aims to investigate how knowledge management approaches can enable DECRA Group Indonesia to improve their resources and capitalize on the IT market. The data collection method in this research involves gathering qualitative data through interviews with the business owner and HR manager as the primary sources. These interviews aim to gain an in-depth understanding of their perspectives on the company’s business growth. Additionally, secondary data sources such as the company’s website, competence review forms, and lists of employee competencies will be utilized to supplement the research. The analysis employs Goal-Analysis approach using Fishbone Diagram model to identify what key areas in achieving company’s goals. Building upon the analysis, KM Framework Table is constructed based on the People, Process, and Technology for each improvement that need to be made. Then SECI Model, derived from the KM Framework Table, guides the implementation of knowledge management practices, facilitating the conversion of tacit knowledge into explicit knowledge to foster innovation and organizational learning. Furthermore, to ensure successful implementation in SECI model, an Integrated Learning Cycle model is developed, which takes into consideration the communication channels and learning processes that are crucial for the effective knowledge transfer and acquisition. To facilitate the practical implementation of knowledge management strategies, a KM Roadmap is developed by providing a simple-structured approach for DECRA in aligning its people, processes, and technology considerations to support knowledge management initiatives. In conclusion, this research emphasizes the critical role of knowledge management in driving business growth for PT. DECRA Group Indonesia, enabling the company to enhance its internal operations, develop competencies, capitalize IT market successfully, and leverage knowledge as a strategic asset for sustained innovation and competitive advantage.

Knowledge Mapping to Improve Organization Capability in Internal Audit of Indonesia Stock Exchange

In the recent years, the Indonesian Capital Market saw a significant increase in terms of number of investors, daily transaction turnover, transaction frequency, and number of listed companies. This tremendous growth directly affects Indonesia Stock Exchange’s (IDX) to reconsider their knowledge management process to generate optimum results from carry out their responsibilities. As the sole capital market trading infrastructure provider in Indonesia, some of the stock exchange function can only be operated by using knowledge of IDX employee which acquired by years of working experience in IDX. The objectives in this study were to determine identify the essential knowledge and to define the essential knowledge that needs to be improved in IDX’s internal audit, and then propose an implementation plan to improve knowledge in IDX’s internal audit. The research method used is qualitative methodology through document analysis and key persons interviews interview which was conducted in April 2023. This study uses a variety of knowledge management approaches to address knowledge mapping, knowledge gaps, and knowledge loss. According to the study’s results, the author identifies knowledge gap and offers several recommendations regarding Knowledge Development Program to close the knowledge gap and Knowledge Retention Program to build on the knowledge that Internal Audit already possesses.

Strengthening COVID-19 pandemic response coordination through public health emergency operations centres (PHEOC) in Africa: Review of a multi-faceted knowledge management and sharing approach, 2020-2021.

The coronavirus disease 2019 (COVID-19) pandemic disrupted health security program implementation and incremental gains achieved after the West African Ebola outbreak in 2016 across Africa. Following cancellation of in-person events, a multi-faceted intervention program was established in May 2020 by Africa Centres for Disease Control and Prevention (Africa CDC), the World Health Organisation, and partners to strengthen national COVID-19 response coordination through public health emergency operations centres (PHEOC) utilizing continuous learning, mentorship, and networking. We present the lessons learned and reflection points. A multi-partner program coordination group was established to facilitate interventions' delivery including webinars and virtual community of practice (COP). We retrieved data from Africa CDC's program repository, synthesised major findings and describe these per thematic area. The virtual COP recorded 1,968 members and approximately 300 engagements in its initial three months. Fifty-six webinar sessions were held, providing 97 cumulative learning hours to 12,715 unique participants. Zoom data showed a return rate of 85%; 67% of webinar attendees were from Africa, and about 26 interactions occurred between participants and facilitators per session. Of 4,084 (44%) participants responding to post-session surveys, over 95% rated the topics as being relevant to their work and contributing to improving their understanding of PHEOC operationalisation. In addition, 95% agreed that the simplicity of the training delivery encouraged a greater number of public health staff to participate and spread lessons from it to their own networks. This just-in-time, progressively adaptive multi-faceted learning and knowledge management approach in Africa, with a consequential global audience at the peak of the COVID-19 pandemic, served its intended audience, had a high number of participants from Africa and received greatly satisfactory feedback.

The systemic approach in business processes and knowledge management: towards organizational competitiveness

The systemic approach in business processes and knowledge management: towards organizational competitiveness

Improving Demand Management Performance using Knowledge Management Approach in an Oil and Gas Company

Improving Demand Management Performance using Knowledge Management Approach in an Oil and Gas Company

Improving Demand Management Performance using Knowledge Management Approach in an Oil and Gas Company

The oil and gas industry has become one of the most important sectors of the global economy, providing energy for transportation, industry and power generation. Indonesia is one of the world’s largest producers of oil and gas and the oil and gas industries have been operating in Indonesia for several decades, contributing to the country’s economic growth and development. PT. COPI, one of the entity in the oil and gas industry which focuses on downstream segment, plays an important role in this industry. However, to anticipate industrial competition, it requires the company to adapt and meet the minimum standards in order to remain competitive, through Continuous Improvement method which is implemented in departments, including Supply Chain Management (SCM) where, through the “Supply Chain Optimization (SCO)” approach, several obstacles are found, including Demand Management Process. This research uses the Knowledge Management (KM) approach to address the obstacles by conducting KM maturity analysis in PT. COPI’s Supply Chain division and perform analysis and evaluation of the current KM practices in order to provide recommendations for improvement. This research uses qualitative methodology to perform data collection, obtained through an interview with the head of Supply Chain Management division of PT. COPI, using Asian Productivity Organization (APO) KM assessment tool which comprises seven APO audit elements: Leadership, Process, People Technology, Knowledge Processes, Learning and Innovation, and KM Outcomes as the baseline for the interview questions. The research shows that KM maturity level of PT. COPI’s Supply Chain division sits at the fourth quadrant of the APO KM Maturity Model, which is refinement. Obstacles are identified from several audit elements of the APO KM assessment tool and marked as an area of improvement. This research provides recommendations for the identified area of improvements using the relevant KM method, which can be implemented by the company to increase their KM Maturity level, increase demand management performance and optimize Supply Chain Management process in the company.

Development of knowledge management in investigating the rheological behavior of SiO2/SAE50 nano-lubricant by response surface methodology (RSM)

The development of knowledge management in dynamic viscosity enables the effective use of fluid to optimize processes and innovations. By collecting, organizing, sharing and applying knowledge, professionals in various industries can take advantage of the potential of dynamic viscosity for optimal performance. Robust model results were developed to predict the viscosity of SiO2/SAE 50 nanofluid (NF) using RSM with a knowledge management approach in laboratory conditions of temperatures T = 25–50 °C, solid volume fractions in the range of SVF= 0–1.5% and shear rates in the range of SR= 666.5–7998 s−1 has been reported to establish a background in using the mentioned NF at high engine speed. After examining the four statistical models Linear, Quadratic, Cubic and Quartic in terms of statistical parameters extracted from ANOVA and measurement charts of the models, it was determined that the model Quartic has high precision compared to the three models in predicting the desired response. Thus, the values of R2 = 0.9923, Predicted R2 =0.9887 and Adjusted R2 = 0.9906 were reported for the selected model; and the MOD values of the Quartic model are − 7 < MOD < +8. Also, a correlation relationship consisting of three independent parameters has been presented to predict viscosity, and it has been determined that viscosity dependence on SR, and NF behavior is non-Newtonian. Comparison of base fluid (BF) viscosity contour with and without the use of nanoparticles (NPs) at high engine speed has shown that the use of SiO2 NPs has led to an increase in viscosity. Also, the use of SiO2 nanoparticles has led to an increase in viscosity by 33.27% and 25% respectively at the minimum and maximum temperature at high engine speed. Finally, the viscosity optimization was done by minimizing the amount of NP consumption and the maximum viscosity at high engine speed in laboratory conditions, and the optimal value was obtained as 212.063 mPa.sec

Positioning the Knowledge Creation and Business Strategy on Banking Industry in a Developing Country

This article aims to align business strategy and knowledge creation in banking industry through knowledge management (KM) approach by maximizing the tangible and intangible resources. Prior study offered more general context of KM approach while misplaced and less discussed practical process of knowledge sharing practices in the context of banking industry. We developed research model by focusing on banking organization, especially in a developing country. The authors use literature review and document analysis of business strategy in bank. This article integrated and analyzed knowledge gap and business strategy to develop a comprehensive approach for banking company. The gap between what a bank knows and needs to know is an internal knowledge gap, in a sense representing the strengths and weaknesses of a &#x201C;the alignment between knowledge&#x2013;business&#x201D; analysis. The gap between what they know and what its competitors know is an external knowledge gap. It represents the opportunities and threats of a knowledge&#x2013;business analysis. In addition, there is still no specific team, department, and strategy to manage knowledge assets. The results of this research may help finance companies and managers to initiate KM or to encourage knowledge sharing in banking organization. Therefore, managerial level is supposed to develop a strategy and regulation to encourage employee&#x0027;s participation in knowledge transfer schema. We combined numerous methods and theories namely Zack and Nonaka models as tools to solve the obstacle of alignment between business-knowledge strategic gap and knowledge sharing schema.

Providing a Framework for Performance Evaluation of Organizations in Successfully Implementing TQM, Based on Knowledge Management Approach and Organizational Agility

Nowadays, any organization, in order to be aware of the desirability and quality of its activities, especially in dynamic environments, urgently needs an evaluation system to assess its system’s performance and efficiency. In this study, the performance of production and service organizations has been evaluated according to the effect of knowledge management success factors and organizational agility on the success factors of total quality management (TQM (total quality management)). Considering that the two areas of knowledge management and organizational agility are among those influential on TQM and each has been examined separately in the previous studies in relation to it, none of the previous studies has focused on all these three areas together. Therefore, in the present study, in addition to evaluating the performance of organizations based on the success factors of TQM, we seek to identify the influential factors and success factors of each of the three areas of knowledge management, organizational agility, and TQM; then, the impact of knowledge management and organizational agility on the success factors of TQM is evaluated. To express the above-given relationship, group interpretive structural modelling (ISM (interpretive structural modelling)) techniques have been used to rank the components of each domain; also, fuzzy quality function deployment (FQFD (fuzzy quality function deployment)) technique has been applied to find the weight and relationship of the three mentioned domains by examining the independent and interface variables of the previous step. The weights resulting from two-stage house of quality have been used as the weights for the design of the two-stage data envelope analysis (DEA) model by the weight control method. Finally, the above-given factors in knowledge-based companies located in Khorramabad Science and Technology Park have been studied and the results have been expressed.

Knowledge digitization: Characteristics, knowledge advantage and innovation performance

The expansion of application scenarios of digital technologies in enterprises has induced new changes in knowledge management approaches. The purpose of this study is to investigate the mechanism and impact of knowledge digitization (KD) on the innovation performance (IP) of companies. The study proposes the concept of KD, which is considered to be characterized by codability, convergence and generativity. 238 Chinese furniture enterprises with digital foundation are surveyed and hypotheses are tested through structural equation modeling. The results suggest that the characteristics have a positive impact on IP. And knowledge advantage (KA) plays a mediating role between KD and IP. In addition, this finding helps to consolidate the research on digital technology and knowledge management and remedy the lack of information on the role of KD. Meanwhile, it provides the direction of improvements and references for knowledge-intensive industries to promote digital transformation, implement KD strategies, and gain competitive advantages.