Knowledge Management Innovation Research Articles

How Does Organizational Unlearning Influence Product Innovation Performance? Moderating Effect of Environmental Dynamism.

Product innovation integrates technology, knowledge, management practices, and market innovation, making it essential to gain a competitive advantage. Effective management of dynamic knowledge, which is the foundation of and driving force for product innovation, is a powerful tool that allows a firm to successfully innovate, adapt to environmental changes, and improve its competitiveness. In the “nanosecond age,” unlearning and learning in an organization is crucial to a firm’s ability to promptly update its organizational knowledge and maintain innovation vitality. Based on the dynamic knowledge management perspective, this study integrates and constructs a theoretical model with environmental dynamism as the moderating variable, discusses the impact of organizational unlearning on product innovation performance, and empirically analyzes 208 valid questionnaires in the Yangtze River Delta using the multiple regression method. The results show that organizational unlearning shares a positive relationship with dynamic capabilities and product innovation performance. Dynamic capability is positively related to product innovation performance and has a partial mediating effect on the relationship between organizational unlearning and product innovation performance. Environmental dynamism shares a positive moderating effect on the relationship between organizational unlearning and product innovation performance. This study deepens the existing research on the factors that influence product innovation performance, which may help firms improve their dynamic knowledge management and product innovation performance.

Strategic HRM and Firm Performance: Mediating Role of Knowledge Management Capacity and Innovation Performance

The purpose of the current study is to investigate the linkage between strategic HRM (SHRM) and firm performance through knowledge management capability and innovation performance. Primary data were gathered from 624 employees working in 252 Indian firms. Using Model 6 of PROCESS macro, a serial mediation model was estimated to analyse the proposed relationships between SHRM, knowledge management capability, innovation performance and firm performance. The study has revealed that the use of SHRM practices which include selection, training, appraisal, rewards and empowerment results in enhanced knowledge management capability, improved innovation performance and heightened firm performance. Further, the results establish that knowledge management capability and innovation performance act as sequential mediators in linking SHRM to firm performance.

Development of the strategic sustainability management system in different periods of its life cycle

Background: The formation of a strategic sustainability management system for transport organizations, taking into account the concept of its life cycle, should be aimed at improving management efficiency.
 Aim: Based on the essence of the category "strategic sustainability", as well as management methodology, to develop a strategic sustainability management system taking into account the concept of its life cycle.
 Methods: The research methodology assumed the use of a systematic approach to the formation of a management system. Methods of data collection, comparison and analysis are applied.
 Results: The necessity of developing a strategic sustainability management system in different periods of its life cycle is indicated. The paper presents a management methodology with an indication of the purpose of its structural elements. Based on the developed methodological approach, the authors describe what and how the system does at each of the stages of "system analysis system design development implementation maintenance" of its life cycle; what goals are set and desired outputs. For the selected management processes, such as management of strategic data preparation, effective use of strategic resources, results of strategic sustainability with risk, innovation and strategic knowledge management; five groups of processes are identified and the types of activities of each group that need to be carried out to achieve strategic sustainability of transport organizations are listed.
 Conclusion: The necessity of developing requirements for the formation of a strategic sustainability management system and its life cycle processes based on the essence of the category "strategic sustainability" and the developed management methodology is shown. Obtaining information at different stages of the life cycle will allow for effective integration of processes, which will improve the quality of strategic sustainability management of transport organizations.

Identify the Main Knowledge Streams of Technological Learning in Joint R&D Projects in Petroleum Industry Based on Co-Word Method

In this paper, to determine the main knowledge streams of technological learning in joint R&D (JRD) projects in petroleum industry, the co- word analysis method is used. The knowledge map is drawn by reviewing 388 papers published in the study area from 2000 to 2021 in Scopus and Sage databases using VOSviewer1.6.16 software. Accordingly, by reviewing the existing knowledge, the two main concepts of knowledge management and technological innovation are identified. Then, using text mining method and drawing a concept knowledge map, 8 clusters are extracted and their relationships are analyzed using Netdraw software. Finally, the study period from 2000 to 2021 is divided into three main categories: organizational - communication characteristics, economic goals and concepts of innovation, and shown the most focus in recent years is in the field of innovation concepts.

Correlation Analysis Model of Social Capital and Innovation Performance Based on Knowledge Mapping.

In this paper, the correlation between social capital and innovation performance is analyzed using a knowledge graph approach, and a correlation analysis model is designed for practical use. Given the advantages of knowledge graph technology and the fact that most recommendation models fail to make full use of the correlation between knowledge graph and recommended items, this paper proposes a cross-attention fusion-based knowledge graph recommendation algorithm (CAKR). The CAKR model contains a cross-fusion module, a recommendation task module, and a knowledge graph embedding task module, and the inputs of the two task modules are alternately learned in a low-dimensional space by the cross-fusion module. The input of the two task modules is alternately learned in the low-dimensional space by the cross-fusion module to interact with the two embedding vectors of items and entities, and then, the obtained feature vectors are fed into the relevant task modules, respectively, and then, the results are calculated by the respective prediction functions. There is a mediating role of knowledge management capabilities in the innovation ecology perspective between social capital and innovation performance of SMEs. Among them, it fully mediates the relationship dimension of technical social capital, the cognitive dimension of institutional social capital, the relationship and cognitive dimension of market-based social capital, and innovation performance, and partially mediates the structural and cognitive dimension of technical social capital, the structural and relationship dimension of institutional social capital, and innovation performance. The relationship between knowledge management capability and innovation performance is positively mediated by environmental dynamics in the innovation ecology perspective, and the positive effect of knowledge management capability on innovation performance is more significant when the environmental dynamics are stronger, and vice versa. Finally, based on the results of the empirical study, some management suggestions are provided on how SMEs can reasonably utilize social capital to enhance their innovation performance.

Bilateral matching decision-making for knowledge innovation management considering matching willingness in an interval intuitionistic fuzzy set environment

Based on the real-world knowledge innovation management characteristics of enterprises, in this paper a novel bilateral matching (BM) decision-making method for knowledge innovation management considering the matching willingness of bilateral enterprises is proposed. The method uses interval-valued intuitionistic fuzzy sets (IvIFSs) as its basis. First, using the IvIFS preferences of the bilateral enterprises, their matching willingness is calculated according to the TOPSIS method. Then, the BM model is constructed according to the IvIFS preference, the matching willingness and the BM matrix of the bilateral enterprises. According to the normalized interval-valued score function (NIvSF) and score function (SF), the BM model is transformed into a BM model with SFs. Considering the fairness of each agent of each side, the BM model with SFs is transformed into a two-objective BM model. Furthermore, a novel optimization algorithm is introduced to solve the two-objective model, and then the optimal BM scheme is obtained. Finally, the effectiveness and feasibility of the proposed method are verified by a knowledge innovation management case study. The key findings of the proposed work are as follows: (1) The proposed method establishes the BM model with IvIFSs and matching willingness; (2) a new algorithm for the BM model is developed; and (3) the obtained BM scheme using the proposed method reflects the matching willingness of the agents. The proposed method can be extended to other BM problems in knowledge innovation management operating under other intuitionistic fuzzy environments and can be applied to other decision-making problems in enterprise knowledge innovation management.

How do green knowledge management and green technology innovation impact corporate environmental performance? Understanding the role of green knowledge acquisition

AbstractIncreasing regulatory obligations to adapt and execute environmentally friendly operations make it critical for businesses to pursue strategies that can strengthen their competitive edge in the market. Academics and practitioners alike have recently gravitated toward exploring how knowledge acquisition activities might improve business outcomes. To address this growing research interest, this study investigates the critical roles of green knowledge acquisition in enhancing green knowledge management and green technology innovation activities in improving corporate environmental performance, positioning resource commitment as a moderator. The research model has been assessed using structural equation modeling with survey data from 283 Indian manufacturers, demonstrating that green knowledge acquisition significantly impacts green knowledge management and green technology innovation. The statistical findings also show that green technology innovation acts catalyzes the translation of green knowledge management into improved corporate environmental performance. The results demonstrate that resource commitment moderates green knowledge acquisition's interaction with green knowledge management and green technology innovation, providing practical insights enabling managers to focus on planning, allocating, and budgeting resources for effective green practices that can contribute to improving corporate environmental performance.

Local Knowledge Management and Innovation Spillover

Tourism lifestyle entrepreneurs play an essential role in the innovation and competitiveness of tourist destinations. However, existing knowledge about the determinants of the innovation they generate is far from being fully exploited. There is still little knowledge about the innovation spillover effect, which is a determining factor for the destination's competitiveness. One of the key factors for innovation results from local knowledge management and the ability of tourism lifestyle entrepreneurs to turn this knowledge into innovation. To test the role of knowledge management in innovation and spillover, a survey was conducted on a sample of 115 tourism lifestyle entrepreneurs, with the hypotheses tested using structural equations. The results reveal that place attachment and knowledge acquisition have a direct effect on knowledge assimilation and community-centered strategy. Furthermore, it was also found that community-centered strategy and knowledge assimilation play a mediating role between place attachment and innovation capacity.

Energizing collaborative industry-academia learning: a present case and future visions

In Industry-Academia Collaborations (IAC) both academic, scientific research results and industrial practitioner findings and experiences are produced. Both types of knowledge should be gathered, codified, and disseminated efficiently and effectively. This paper investigates a recent (2014–2017) large-scale IAC R&D&I program case (Need for Speed, N4S) from a learning perspective. It was one of the programs in the Finnish SHOK (Strategic Centres of Science, Technology, and Innovation) system. The theoretical bases are in innovation management, knowledge management, and higher education (university) pedagogy. In the future, IAC projects should be more and more commonplace since major innovations are hardly ever done in isolation, not even by the largest companies. Both intra-organizational and inter-organizational learning networks are increasingly critical success factors. Collaborative learning capabilities will thus be required more often from all the participating parties. Efficient and effective knowledge creation and sharing are underpinning future core competencies. In this paper, we present and evaluate a collaboratively created and publicly shared digital knowledge repository called “Treasure Chest” produced during our case program. The starting point was a jointly created Strategic Research and Innovation Agenda (SRIA), which defined the main research themes and listed motivating research questions to begin with—i.e., intended learning outcomes (ILO). During the 4-year program, our collaborative industry-academia (I-A) learning process produced a range of theoretical and empirical results, which were iteratively collected and packaged into the Treasure Chest repository. Outstandingly, it contained, in addition to traditional research documents, narratives of the industrial learning experiences and more than 100 actionable knowledge items. In conclusion, our vision of the future is that such transparently shared, ambitious, and versatile outcome goals with a continuous integrative collection of the results are keys to effective networked I-A collaboration and learning. In that way, the N4S largely avoided the general problem of often conflicting motives between industrial firms seeking answers and applied solutions to their immediate practical problems and academic researchers aiming at more generalizable knowledge creation and high-quality scientific publications.

Artificial-Intelligence-Based Fuzzy Comprehensive Evaluation of Innovative Knowledge Management in Universities

By considering the comprehensive impact index ranking of all factors to identify the impact of university innovation knowledge, the group decision-making characteristic root method, decision-making experiment, and evaluation laboratory method are used to analyze the factors that affect the university’s innovative knowledge management ability. The key factors affecting management capabilities have been identified and reviewed to establish measures to enhance the innovative knowledge management capabilities of colleges and universities. Using artificial intelligence-based knowledge management fuzzy evaluation algorithm evaluation model to evaluate the innovation knowledge management of 16 universities, the results obtained are consistent with the actual evaluation results of the year; this result proves the fuzziness of university innovation knowledge management, which is based on artificial intelligence fuzzy. The algorithm is evaluated. The results show that the evaluation model is feasible.

The Impact of Knowledge Management Capabilities on Innovation Performance from Dynamic Capabilities Perspective: Moderating the Role of Environmental Dynamism

As an important path to enhance the innovation performance of enterprises, knowledge management has received much attention in recent years. However, most of the existing literature on knowledge management and innovation performance is based on a static perspective, and ignores the influence of dynamic changes in the environment. This study intends to explore the relationship between dynamic knowledge management capability and innovation performance as well as examine the moderating effect of environmental dynamism. The questionnaire survey approach is used in this study and the data is collected from 253 sample enterprises in China. To estimate the proposed relationships in the theoretical model, this study adopts hierarchical Multiple Regression (MR) and Moderated Multiple Regression (MMR) methods. The results show that all dimensions of dynamic knowledge management capability have different degrees of positive influence on innovation performance. Moreover, it was also confirmed that there are different moderating effects of environmental dynamism on the relationship between the dimensions of knowledge management capability and innovation performance. This study can contribute to enriching the theoretical research of dynamic knowledge management capability and innovation performance, and offer scientific guidance for decision making to efficiently enhance the enterprise’s knowledge management level and innovation performance. Moreover, the findings can also provide valuable insights for enterprises to make use of KM capabilities to enhance innovation performance in practice.

Effect of the inno-life management and knowledge management on green organization of community-based tourism in Phatthalung Thailand

Community-based tourism activities has major importance for the people to generate livelihood opportunities. However, the promotion of community-based tourism is important. Thus, this study addressed the role of inno-life management and knowledge management in community-based tourism in Phatthalung, Thailand. Additionally, the role of green organization is also considered. Data collection is made through Likert scale by using cluster sampling. 400 questionnaires were distributed among the respondents. By using Structural Equation Modeling (SEM), the current study identified that; innovation management has major importance to enhance community-based tourism. Similarly, knowledge management has positive effect on community-based tourism. Findings highlighted that green organization has the potential to promote tourism activities among communities in Phatthalung, Thailand. Innovation management and knowledge management promotes tourism among the communities by facilitating green organizations.

Determinants of SMEs performance: The role of knowledge management, market orientation, and product innovation

The role of knowledge management (KM) in the existence of Small Medium Enterprises (SME’s) has been an important aspect of entrepreneurship. However, to perform an SME may not merely rely on its knowledge but also on other aspects such as market orientation and product innovation. This study aims to contribute to the entrepreneurship literature in the context of emerging economies. This study can be classified as quantitative research by nature as the use of a survey to gather respondent data. About 211 samples of SMEs of the furniture cluster in East Java were obtained in this study. Thus, understanding that the focus on market orientation and innovation in SMEs has not fruitfully been exposed and explored enough in the context of emerging economies such as Indonesia. The result of this study indicated that KM is not a direct predictor of SME performance. This is an indication that the supremacy creation of SME performance could not depend heavily on KM but rather, other driving forces such as market orientation (MO) and product innovation (INNOV) are much more powerful drivers in crafting SME performances.

DETERMINING THE RELATIONSHIP BETWEEN KNOWLEDGE MANAGEMENT AND ORGANIZATIONAL INNOVATION OF MEGAMOTOR COMPANY

The aim of the present study is to investigate the relationship between knowledge management and organizational innovation of Megamotor Company. In order to find out whether there is a relationship between these two variables, a filed research was selected. The time frame of the present study is from February 2017 to July 2018 and the time of distribution of the questionnaire was May 2018. The present study is part of the field of management and in relation to the effectiveness of the mediating role of innovation in Knowledge management. 335 people were randomly selected as the ultimate subjects of the present study. Analyzing the obtained data, it was found that there is a meaningful relationship between knowledge management and organizational innovation.

THE EFFECT OF KNOWLEDGE MANAGEMENT AND ORGANIZATIONAL INNOVATION ON IMPROVING THE LEVEL OF ORGANIZATIONAL AGILITY OF MEGAMOTOR COMPANY

The aim of the present study is to investigate the effect of knowledge management and organizational innovation on Megamotor Company's agility. In order to find out whether there is a relationship between these two variables, a filed research was selected. The time frame of the present study is from February 2017 to July 2018 and the time of distribution of the questionnaire was May 2018. The present study is a part of the field of management and in relation to the effectiveness of the mediating role of innovation and knowledge management on company's agility. 335 people were randomly selected as the ultimate subjects of the present study. Analyzing the obtained data, it was found that there is a meaningful relationship between knowledge management and organizational innovation.

Technological knowledge coupling and green innovation in manufacturing firms: Moderating roles of mimetic pressure and environmental identity

In the prevailing low-carbon economy, the green innovation of manufacturing firms is to follow the inherent requirements of sustainable development and the responsibility of actively responding to environmental challenges. The process of green innovation heavily relies on technological knowledge; nevertheless, the impact of changes in the knowledge base on green innovation still lacks clarity. This article integrates knowledge-based, organizational identity, and new institutional theories, we use panel data of 247 A-share listed manufacturing firms in China from 2009 to 2019 to explore the impacting mechanism and boundary conditions of technological knowledge coupling on green innovation in manufacturing firms. By constructing a theoretical framework for the impact of the dynamic changes of the knowledge base on green innovation from the perspective of technological knowledge coupling, this study reveals a non-linear relationship mechanism between different technological knowledge coupling and green innovation. The results show an inverted U-shaped nonlinear relationship between existing technological knowledge coupling and green innovation, new and existing technological knowledge coupling and green innovation of manufacturing firms. Mimetic pressure and environmental identity have positive moderating effects on the relationships. The conclusions enrich the knowledge management and green innovation research fields and expand the application of organizational identity theory and new institutional theory in green innovation. Meanwhile, it provides a theoretical reference for manufacturing firms to choose appropriate knowledge coupling methods to implement green innovation under external mimetic pressure and internal environmental identity contexts.

Knowledge management and intellectual capital in the business model innovation of Costa Rican manufacturing firms

The purpose of this article is to analyze the impact of knowledge management and intellectual capital on the ability of companies to generate business model innovation. To evaluate the proposed hypotheses, we surveyed a final sample of 100 Costa Rican manufacturing companies and analyzed the data using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that knowledge management positively contributes to the development of business model innovations. Similarly, intellectual capital has a direct positive influence on business model innovation. However, the direct contribution intellectual capital depends on the adoption of practices that encourage knowledge management in companies

The application of virtual teams in the improvement of enterprise management capability from the perspective of knowledge transfer

To clarify the problems existing in the process of knowledge transfer of virtual teams, the team cooperation optimization model is combined with the technological innovation capability under the neural network (NN) model, and it is expected to provide a reference for the knowledge management and technological innovation of enterprises. This study first explores the organization, collaboration, and management of virtual teams from the perspective of knowledge transfer. In addition, based on NN, the research and development (R&D) and innovation capabilities of enterprises are studied, and an evaluation index system is constructed. In the stage of empirical analysis, this study selects Enterprise A for research and analyzes the status quo and existing problems of this company. Then, this study proposes a set of schemes conducive to virtual team collaboration and comprehensively uses management theory to evaluate the application effect. The team collaboration model based on knowledge transfer is applied to the operation and management of the enterprise, which significantly improves the collaboration between the various departments of the enterprise and the fluidity of resources. An enterprise R&D capability evaluation system based on a NN model can comprehensively evaluate various index data, thereby prompting its further strategic management and investment. The virtual team collaboration model combined with the R&D technological innovation under the NN model can objectively evaluate the capabilities of the enterprise, thereby improving the management efficiency and benefiting the long-term development of the enterprise.

Knowledge spillover, knowledge management and innovation of the Portuguese hotel industry in times of crisis

PurposeThe aim of the study is to analyze how knowledge spillovers and knowledge management capabilities affect the innovation capabilities of hospitality sector companies in crisis environments.Design/methodology/approachA survey was completed by 63 hotel directors based in Portugal, gathering data on knowledge spillover, knowledge management capabilities and innovation capabilities. Two multiple linear regression models were used to estimate the impact of knowledge spillovers and knowledge management capabilities on innovative capability.FindingsIt has been concluded that knowledge spillovers work as external benefits of knowledge creation, increasing the innovation activities of companies in the hospitality sector, which reinforces that knowledge spillovers help to enhance innovation capabilities. The study's results show that it is essential for companies to manage knowledge. It also concludes that effective knowledge management facilitates the exchange of knowledge required in the innovation process. Knowledge spillovers improve the performance of innovation in companies through the development of new insights and innovation capabilities.Research limitations/implicationsThis research was carried out in a period of crisis. As expected in a troubled period, the results are extremely volatile. This study's sample is composed of Portuguese hospitality companies.Originality/valueThis research provides valuable insights into the overflow of explicit and tacit knowledge in the hotel industry. Moreover, this study offers new insights into the mediating role of knowledge management capability in the relationship between a hotel's knowledge overflow and its innovation performance.

Managing the knowledge for innovation in Eastern European firms: open or closed innovation?

PurposeThis study investigates the impact of cooperation with external partners on the intensity of product innovation as well as its commercial success. The focus is on firms located in the Eastern European countries that are seldom a subject of empirical innovation studies. The theoretical framework takes into account that moderate and modest innovator countries, which comprise the sample, have distinct innovation ecosystems relative to advanced economies.Design/methodology/approachThe study uses data from the Business Environment and Enterprise Performance Survey (BEEPS) that was conducted in 2013–2014 and covering the period of the past three years. Product innovation is measured through its intensity (a number of product innovation) and through its commercial success (innovative sales). A set of hypotheses are tested using a negative binomial estimator (for the number of product innovation) and a tobit estimator (for innovative sales) estimated in Stata statistical software.FindingsEmpirical findings show that vertical cooperation has a positive effect on the intensity of innovation activities. In contrast, the authors find no evidence that horizontal cooperation or cooperation with science partners (universities and research centres) increase innovation intensity or its commercial success. Besides vertical cooperation, for a commercial success, it is equally beneficial for firms to use their own innovative ideas. These results taken together suggest that closed innovation and cooperation with customers and suppliers are critical determinants of product innovation in Eastern European firms.Originality/valueThe study contributes to expanding the research on knowledge management and open innovation in less advanced economies.