Processes, characteristics, and effectiveness

2015 ◽  
Vol 28 (3) ◽  
pp. 486-503 ◽  
Author(s):  
Hao Shen ◽  
Ziye Li ◽  
Xiuyun Yang

Purpose – The purpose of this paper is to address important but unresolved questions regarding how different knowledge transfer processes and characteristics affect knowledge transfer effectiveness (KTE). This study, which draws on an integrative knowledge management framework, forces us to reconsider successful knowledge transfer within organizations. Design/methodology/approach – The data for this study were obtained through an interview survey of 117 firms in China. The questionnaire was adapted from several previous studies on processes, characteristics, and effectiveness of knowledge transfer. A regression method was conducted to test all hypotheses. Findings – The findings show that both structured and unstructured knowledge processes has positive effects on KTE. Furthermore, knowledge embeddedness and articulability differently moderate the relationship between transfer processes and effectiveness. Originality/value – The paper contributes to knowledge management theory by providing an integrative framework on how organizations can facilitate KTE by conducting appropriate transfer processes aligned with differentiated knowledge characteristics. Further, this study investigates the “fit” between knowledge transfer processes and characteristics.

2016 ◽  
Vol 46 (3) ◽  
pp. 371-385 ◽  
Author(s):  
Stefan Stanica ◽  
Jorge Peydro

Purpose This paper aims to study the challenge of transferring knowledge among product development processes of an research and development department and other departments of the organization. To have a more concise focus on this broad field and having a lean perspective, this paper aims to analyse and identify how the cross-training employee lean tool affects the knowledge transfer processes in the previously mentioned departments. Design/methodology/approach This paper bases its research on a valid theoretical framework which is built to develop an explorative perspective that allows the authors to create and interpret the data collected from the companies through interviews. The paper uses a qualitative perspective by using the expertise of the companies not only to validate and draw conclusions from the studied theoretical framework but also to look beyond it. Findings The companies agree that the implementation of the cross-training employee lean tool will have a positive effect on the knowledge transfer processes in the organizations. Other important advantages that are detected are that this lean tool broadens the knowledge and the competences of employees, and that it helps the company to manage the tacit knowledge. However, some unexpected drawbacks such as the lack of metrics for measuring the knowledge transfer and the strictness of this lean tool were also found. Originality/value No previous research exists that analyses the effect of cross-training lean tool in knowledge transfer processes. This paper identifies such a gap in the literature and is used as the starting point to motivate the use of this tool to improve knowledge transfer processes due to the positive effects of it.


2015 ◽  
Vol 19 (3) ◽  
pp. 433-455 ◽  
Author(s):  
Christina Ling-hsing Chang ◽  
Tung-Ching Lin

Purpose – The purpose of the study is to focus on the enhancement of knowledge management (KM) performance and the relationship between organizational culture and KM process intention of individuals because of the diversity of organizational cultures (which include results-oriented, tightly controlled, job-oriented, closed system and professional-oriented cultures). Knowledge is a primary resource in organizations. If firms are able to effectively manage their knowledge resources, then a wide range of benefits can be reaped such as improved corporate efficiency, effectiveness, innovation and customer service. Design/methodology/approach – The survey methodology, which has the ability to enhance generalization of results (Dooley, 2001), was used to collect the data utilized in the testing of the research hypotheses. Findings – Results- and job-oriented cultures have positive effects on employee intention in the KM process (creation, storage, transfer and application), whereas a tightly controlled culture has negative effects. Research limitations/implications – However, it would have been better to use a longitudinal study to collect useful long-term data to understand how the KM process would be influenced when organizational culture dimensions are changed through/by management. This is the first limitation of this study. According to Mason and Pauleen (2003), KM culture is a powerful predictor of individual knowledge-sharing behavior, which is not included in this study. Thus, this is the second limitation of this paper. Moreover, national culture could be an important issue in the KM process (Jacks et al., 2012), which is the third limitation of this paper for not comprising it. Practical implications – In researchers’ point of view, results- and job-oriented cultures have positive effects, whereas a tightly controlled culture has a negative effect on the KM process intention of the individual. These findings provide evidences that challenge the perspective of Kayworth and Leidner (2003) on this issue. As for practitioners, management has a direction to modify their organizational culture to improve the performance of KM process. Social implications – Both behavioral and value perspectives of the organizational cultural dimensions (results-oriented, tightly control, job-oriented, sociability, solidarity, need for achievement and democracy) should be examined to ascertain their effects firstly on KM culture and then on the KM process intention of the individual. It is hoped that the current study will spawn future investigations that lead to the development of an integrated model which includes organizational culture, KM culture and the KM process intention of the individual. Originality/value – The results-oriented, loosely controlled and job-oriented cultures will improve the effectiveness of the KM process and will also increase employees’ satisfaction and willingness to stay with the organization.


2017 ◽  
Vol 21 (5) ◽  
pp. 1053-1076 ◽  
Author(s):  
Michal Kuciapski

Purpose Although mobile devices are ubiquitous among employees, their awareness and readiness to use mobile technologies for competence development is still not widespread and therefore requires further exploration. The purpose of this study is to propose a conceptual model based on the unified theory of acceptance and use of technology (UTAUT) to explain the determinants that affect employees’ intention to use mobile devices and software for knowledge transfer during the process of knowledge management. Design/methodology/approach A conceptual model based on the UTAUT with new variables concerning relative usability (RU) and user autonomy (UA) and new connections between the determinants was developed as a result of a subject matter literature review. A structural equation modelling approach was used to validate the model on the basis of data collected via a survey collected from 371 employees from 21 sectors, both public and private. Findings The UTAUT model extended by new variables like RU and UA explains employee acceptance of mobile technologies for knowledge transfer reasonably well. New proposed variables highlighted that the usability of technology compared to other solutions and user autonomy in the selection and the use of applications have the strongest impact on the employees’ intention to use mobile devices and software for knowledge transfer. Research limitations/implications This model explains the 55 per cent behavioral intention of employees to use mobile technologies for knowledge transfer. Even though it is quite high in terms of acceptance theories, some new variables should be explored. Furthermore, study does not verify whether m-learning acceptance for knowledge transfer is sector-specific. Practical implications Mobile technologies used for knowledge transfer by employees should allow for high UA through their ability to select solutions that they find convenient, use of preferred platforms, personalize applications and utilize devices and software in various environments. They should not be simplified and should have the same functionality and efficiency of use as alternative solutions like web and desktop applications, even if additional effort to learn them would be required. Mobile technologies that take into account UA and RU support the process of employees capturing, distributing and effectively using knowledge. Originality/value The elaborated model provides a valuable solution with practical implications for increasing mobile technologies acceptance for knowledge transfer. The study results contribute both to knowledge management and technology acceptance research fields by introducing two new determinants for the acceptance of technologies in knowledge transfer, such as UA and RU with several additional connections between existing UTAUT variables.


2017 ◽  
Vol 30 (3) ◽  
pp. 417-430 ◽  
Author(s):  
Álvaro Dias ◽  
Pereira Renato

Purpose The purpose of this paper is to offer an operationalization of an aggregate construct and a decisive contribution to building a dynamic capabilities theory with marketing implications. The authors investigate the influence of dynamic capabilities, specifically routine creation through embedding learning and knowledge, on marketing capabilities and performance in Portugal. The authors examine the direct relationship between dynamic capabilities and marketing capabilities, which is indirectly linked to performance depending on the effectiveness of the resulting new resource configuration. Design/methodology/approach The authors used four construct dimensions: knowledge creation routines, knowledge transfer processes, marketing capabilities, and firm performance. The study was based on an inter-industry random sample of firms selected from a commercial list. During a nine-month period the authors gathered data from a questionnaire delivered in hand to participating firms and collected through in-depth personal interviews. It was filled out by directors of Portuguese firms who agreed to participate in this study. Findings First, dynamic capabilities play an important role in the evolution of marketing capabilities and the maintenance of competitive advantage. Specifically, the authors identified a link between knowledge creation routines and knowledge transfer processes with marketing capabilities. Second, the effect of dynamic capabilities on performance can be considered to be substantially indirect. However, the results also show a direct link between knowledge transfer and performance. Originality/value First, the development of a model establishing the contribution to the evolution of marketing capabilities in order to compete in a changing environment, considering the critical effect of knowledge creation and transfer in a non-static market configuration. Second, the analysis of marketing capabilities from different layers, from strategic to more operational aspects.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dasun Bhagya Sapuarachchi

Purpose The purpose of this study is to explore a phenomenon in knowledge management that has been given scant attention: the influence of cultural distance on inter-organizational knowledge transfer in the context of multinational companies involving headquarters in the USA and a subsidiary in Sri Lanka. Design/methodology/approach Designed as a qualitative exploratory study, data was collected through in-depth interviews of 15 participants and documents review. Findings The findings of this study implied that the theoretically introduced cultural dimensions shall be relevant to analyze the phenomenon of this study. Consequently, through the findings of this study, it is argued that inter-organizational knowledge transfer in multinational companies is influenced by cultural distance. Research limitations/implications This study theoretically and empirically contributes to the debates on knowledge transfer in knowledge management research in general and, inter-organizational knowledge transfer in multinational companies between headquarters and subsidiaries with respect to the influence of cultural distance in particular, through the light of Trompenaars’ (1993) cultural dimensions theory. Practical implications The findings of this study could motivate the practitioners to take into account: the influence of cultural distance on inter-organizational knowledge transfer, if inter-organizational knowledge transfer happens in similar contexts: multinational companies with a headquarters in the USA (a western context) and a subsidiary in Sri Lanka (a non-western context) in the practical business world. Originality/value This study provides theoretical and empirical insights into the influence of cultural distance on inter-organizational knowledge transfer in multinational companies between headquarters and subsidiaries in the selected context while suggesting various avenues for further research toward the influence of cultural distance on such phenomenon in similar/dissimilar contexts.


2019 ◽  
Vol 25 (1) ◽  
pp. 10-26 ◽  
Author(s):  
Pasquale De Luca ◽  
Mirian Cano Rubio

Purpose The knowledge transfer plays a key role in the firm’s capability to develop and to maintain a strategic competitive advantage over time. The capability of the firm to develop an efficient and effective process of knowledge transfer increases the internal skills and then the capability to compete in the business with positive effects on the performance. In order to maximize the effectiveness and efficiency of the knowledge transfer process it must be consider two main variables: the amount of knowledge to be transferred and the speed of the process. In this contest, the purpose of this paper is to developed a theoretical model, defined the knowledge transfer curve, able to evaluate the knowledge transfer process on the basis of its speed. Design/methodology/approach The curve of the knowledge transfer is based on the methodology of the learning curve. The curve of the knowledge transfer process can be evaluated on the basis of two main variables: the first is the content of knowledge to be transferred. It refers to the quality and quantity of the information to be transferred within the firm; and the second is the speed of the knowledge transfer process. It refers to the time in which the knowledge transfer can be realized. The function of the knowledge transfer is defined using ordinary differential equation. Findings There is an inverse relationship between time t and the variation rate r. The higher the variable r, the faster the knowledge transfer toward the level K. Therefore, the variable r measures the efficiency and effectiveness of the knowledge transfer process. On the basis of these considerations, manager must evaluate their policies about the knowledge transfer on the basis of their effects on the variable r: only the policy that increases its value can be considered effective for the knowledge transfer process. Originality/value The originality resides in the development of a theoretical model that is able to capture and measure the effectiveness and efficiency of the knowledge transfer. It is possible to define a curve of knowledge transfer on the basis of these two variables: content of the knowledge to be transferred and the time of the transfer process, by using an ordinary differential equation.


Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tu Ngoc Nguyen ◽  
Chao Hong Shen ◽  
Phong Ba Le

PurposeThe purpose of this study is to explore the influence of transformational leadership (TL) on a firm's radical and incremental innovation. It also deepens the understanding of appropriate mechanisms and conditions to improve specific aspects of innovation by examining the mediating role of knowledge management capability (KMC) and moderating mechanism of collaborative culture.Design/methodology/approachThis study utilized structural equation modeling (SEM) and cross-sectional design to test hypotheses in the proposed research model using survey data collected from 365 participants in 86 manufacturing and service firms.FindingsThe findings indicate that TL induces greater effect on radical innovation compared to its effect on incremental innovation. The mediating role of KMC between TL and aspects of innovation capability is also supported. Especially, the influences of KMC on specific aspects of innovation capability are different and depend on the degree of collaborative culture in an organization.Research limitations/implicationsFuture research should examine the mediating mechanisms of knowledge acquisition, knowledge sharing and knowledge application to provide deeper insight into specific roles of knowledge management's constituents in linking TL and innovation capability.Practical implicationsThe paper significantly contributes to increasing the understanding of the link between TL and specific aspects of innovation capability by highlighting the important role of KMC and positive effects of collaborative climate in an organization.Originality/valueThe paper is unique in the attempts to provide a prospective solution for firms to pursue and improve innovation based on the meaningful insights into the mediating role of KMC and moderating effect of collaborative culture in the relationship between TL and specific dimensions of innovation capability.


Author(s):  
Parissa Haghirian

Knowledge is widely recognized as a primary resource of organizations (Drucker, 1992). Some authors propose that knowledge is a company’s only enduring source of advantage in an increasingly competitive world (Birkinshaw, 2001). The problem and challenge companies encounter is managing it in an effective way to increase their competitive advantages. Knowledge management is therefore concerned with various aspects of creating, examining, distributing, and implementing knowledge. But knowledge management theory often leaves us with the impression that knowledge can be as easily managed like products and commodities (Shariq, 1999). This Cognitive Model of Knowledge Management (p. 82) is founded on the belief that knowledge is an asset that needs to be managed, but is strongly contrasted by the Communities in Practice Model of Knowledge Management (p. 83), which looks at knowledge managment and transfer from a sociological perspective (Kakabadse, Kakabadse & Kouzmin, 2003). In fact, the transfer of knowlege happens between individuals; it is a mainly human-to-human process (Shariq, 1999). Knowledge has no universal foundation; it is only based on the agreement and the consensus of communities (Barabas, 1990), which make people and communities the main players in the knowledge transfer process. They can share or conceal knowledge; they may want to know more and want to learn. For knowledge transfer on an individual as well as on a corporporate level, there “has to be a voluntary action on behalf of the individual” (Dougherty, 1999, p. 264). Knowledge transfer happens for individuals and is conducted by individuals. The base of knowledge transfer is therefore a simple communication process transferring information from one individual to another. Two components of the communication are essential: The source (or sender) that sends the message and the receiver to receive the message. Person A (sender) intends to send information to person B (receiver). Person A codifies the information into a suitable form and starts the process of sending the information or knowledge to B. This can take place via talking or writing. The channel which transmits the information might influence the flow of the message and its reception. Receiver B receives the information and decodes it. After this, B tries to understand the information received in his/her context and implements the knowledge in the surrounding environment. The communication model also includes the feedback of the receiver. B starts the whole process again and codifies and sends information back to A. A receives, decodes, and interprets the information or knowledge received. A prerequisite for effective knowledge transfer is a high level of trust among the individuals and work groups and a strong and pervasive culture of cooperation and collaboration. This trust is developed through work practices that encourage and allow individuals to work together on projects and problems (Goh, 2002). Knowledge transfer is thus performed by communities of practice, which are described as groups of professionals informally bound to one another through exposure to a common class of problems, common pursuit of solutions, and thereby embodying a store of knowledge (Manville & Foote, 1996). Their members show a collectively developed understanding of what their community is about. They interact with each other, establishing norms and relationships of mutuality that reflect these interactions. Communities of practice generally produce a shared repertoire of communal resources, for example, language, routines, sensibilities, artifacts, tools, stories, and so forth. Members need to understand the community well enough to be able to contribute to it. They furthermore need to engage with the community and need to be trusted as a partner. Finally, they need to have access to the shared communal resources and use them appropriately (Wenger, 2000). Communities of practice develop strong routines for problem solving via communication and knowledge exchange. If knowledge is transferred within communities of practice, both sender and receiver have a common understanding about the context, the way knowledge is transmitted, its relevance, and integration into the knowledge base of the corporation. Accordingly, communities of practice are generally agreed on to have a positive influence on knowledge transfer processes. Members of a community of practice are informally bound by the gains they find when learning from each other and by efficient problem-solving activities via communication (Wagner, 2000).


2018 ◽  
Vol 22 (6) ◽  
pp. 1310-1331 ◽  
Author(s):  
Vito Manfredi Latilla ◽  
Federico Frattini ◽  
Antonio Messeni Petruzzelli ◽  
Martina Berner

Purpose This paper aims to provide a comprehensive academic literature review on the relationship between knowledge management, knowledge transfer and organizational performance in a specific subset of the creative industry, i.e. arts and crafts organizations. Furthermore, this paper analyzes how knowledge management and transfer within arts and crafts organizations help increase performance and enhance the value of the activity of the so-called “knowledge workers” (i.e. craftsmen), who are the real knowledge owners in the process of value creation. Design/methodology/approach The literature review follows the model suggested by Vom Brocke et al. (2009). The review follows a five-phase approach so as to be systematic, transparent and replicable. Academic contributions published over two periods are taken into consideration. The first period covers the years 1990-2000, when the concepts of creative industry and knowledge-based economy were developed. The second period covers the years 2000-2016, when scholars started to investigate how to effectively transfer knowledge (very often in the form of “tacit knowledge”) retained by master craftsmen in arts and crafts organizations and the critical role played by craftsmen in the performance of such organizations. Findings Three main issues have emerged: how arts and crafts organizations manage and transfer knowledge internally; the effects of these activities on organizational performance; and the prominent role of craftsmen. The literature review shows how in arts and crafts organizations there is a considerable link between the concepts of “performance" and "tacit knowledge", even though addressing such link is somehow hard to realize, for several reasons discussed in the paper. The measurement of performance in arts and crafts organizations has become an area of academic investigation only when both the role of knowledge management and transfer and the role of knowledge workers (i.e., craftsmen) have become evident for obtaining a competitive advantage. Research limitations/implications This paper has been an attempt to organize existing studies on knowledge management and transfer and to investigate the relationship existing between knowledge and performance in arts and crafts organizations. Nevertheless, the relationship between knowledge and performance is yet to be explored, as well as the development of techniques for measuring arts and crafts organizations’ performance effectively. The present contribution calls for a systematic reflection on how the transfer of traditional craftsmen’s skills impacts organizational performances in the long run. The definition and implementation of new performance evaluations criteria tailored to enhance the tacit knowledge of craftsmen as a real source of differentiation and competitive advantage for the arts and crafts organizations is somehow still missing. Practical implications By pursuing its objectives, the present contribution aims to represent a step toward enabling arts and crafts organizations to play a vital role in the modern society in a more structured way. This would help to build awareness of the potential of arts and crafts organizations for promoting economic growth, proposing a value proposition different from the one dictated by the globalization and by the triumph of product standardization and mass production. Originality/value Analyzing the knowledge management and transfer within arts and crafts organizations with a historical perspective, it appears that the recognition in academic literature of the centrality of knowledge management and transfer within arts and crafts organizations is only recent (i.e. from 2011 onward). Indeed, for approximately 20 years (i.e. 1990-2010), knowledge has been constantly related to technological paradigms and standardized results, with very little research and debate on craftsmanship and the role of craftsmen. Nevertheless, the research shows that over the years, the focus on knowledge in arts and crafts organizations and knowledge transfer has become progressively more detailed and precise: some authors have studied the role of craftsmen in the knowledge economy according to a historical perspective, while some others have analyzed different types of knowledge more thoroughly. For example, Sveiby (1997, 1996), analyzing the concept of "knowing talent" and "tradition", outlines a more prominent role of craftsmen in the knowledge economy and explain how, in sectors with a strong traditional background, the transfer of tacit knowledge is a meaningful challenge for many organizations.


2019 ◽  
Vol 25 (1) ◽  
pp. 144-163 ◽  
Author(s):  
Giustina Secundo ◽  
Antonio Toma ◽  
Giovanni Schiuma ◽  
Giuseppina Passiante

PurposeDespite the abundance of research in open innovation, few contributions explore it at inter-organizational level, and particularly with a focus on healthcare ecosystem, characterized by a dense network of relationships among public and private organizations (hospitals, companies and universities) as well as other actors that can be labeled as “untraditional” player, i.e. doctors, nurses and patients. The purpose of this paper is to cover this gap and explore how knowledge is transferred and flows among all the healthcare ecosystems’ players in order to support open innovation processes.Design/methodology/approachThe paper is conceptual in nature and adopts a narrative literature review approach. In particular, insights gathered from open innovation literature at the inter-organizational network level, with a particular attention to healthcare ecosystems, and from the knowledge transfer processes, are analyzed in order to propose an interpretative framework for the understanding of knowledge transfer in open innovation with a focus on healthcare ecosystem.FindingsThe paper proposes an original interpretative framework for knowledge transfer to support open innovation in healthcare ecosystems, composed of four main components: healthcare ecosystem’s players’ categories; knowledge flows among different categories of players along the exploration and exploitation stages of innovation development; players’ motivations for open innovation; and players’ positions in the innovation process. In addition, assuming the intermediary network as the suitable organizational model for healthcare ecosystem, four classification scenarios are identified on the basis of the main players’ influence degree and motivations for open innovation.Practical implicationsThe paper offers interpretative lenses for managers and policy makers in understanding the most suitable organizational models able to encourage open innovation in healthcare ecosystems, taking into consideration the players’ motivation and the knowledge transfer processes on the basis of the innovation results.Originality/valueThe paper introduces a novel framework that fills a gap in the innovation management literature, by pointing out the key role of external not R&D players, like patients, involved in knowledge transfer for open innovation processes in healthcare ecosystems.


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