Showing papers in "Journal of Knowledge Management in 2017"

How MNC’s subsidiaries may improve their innovative performance? The role of external sources and knowledge management capabilities

Abstract: Purpose This paper aims at exploring the effect of knowledge management (KM) practices on the relationship between external research and development (R&D) and innovative performance. The authors argue that the firms which develop and possess superior KM capabilities have the ability to better manage external knowledge and combine it with the internal one. Design/methodology/approach The authors used a sample of 117 European MNC subsidiaries. An OLS regression analysis was carried out to evaluate the moderator effect of KM on the relationship between external R&D and innovative performance. Findings The authors found positive evidences in favor of a moderator effect of KM. This means that subsidiaries with superior KM capabilities are more effective in using external R&D, augmenting the magnitude of their external sources of knowledge and, consequently, improving their innovative performance. Practical implications Managerially speaking, both corporate and subsidiaries’ managers need to understand the relevance of managing knowledge effectively and efficiently at the subsidiary level. Corporate managers need to allocate more resources (both financial and managerial) to the subsidiaries that are active in knowledge transfer and sharing, while subsidiaries managers need to implement practically the KM tools and processes at the subsidiary organizational level to improve subsidiary’s innovative performance. Originality/value This paper contributes mainly to the KM field, highlighting the importance of KM at the subsidiary level, whereas most of previous studies focus on different units of analysis.

Knowledge driven preferences in informal inbound open innovation modes. An explorative view on small to medium enterprises

Abstract: Purpose This paper aims to investigate three key factors (i.e. cognitive dimensions, the knowledge-driven approach and absorptive capacity) that are likely to determine the preference for informal inbound open innovation (OI) modes, through the lens of the OI model and knowledge-based view (KBV). The innovation literature has differentiated these collaborations into informal inbound OI entry modes and formal inbound OI modes, offering an advocative and conceptual view. However, empirical studies on these collaborations are still limited. Design/methodology/approach Building on the above-mentioned theoretical framework, the empirical research was performed in two stages. First, data were collected via a closed-ended questionnaire distributed to all the participants from the sample by e-mail. Second, to assess the hypotheses, structural equation modelling (SEM) via IBM® SPSS® Amos 20 was applied. Findings The empirical research was conducted on 175 small to medium enterprises in the United Kingdom, suggesting that the knowledge-driven approach is the strongest determinant, leading to a preference for informal inbound OI modes. The findings were obtained using SEM and are discussed in line with the theoretical framework. Research limitations/implications Owing to the chosen context and sector of the empirical analysis, the research results may lack generalisability. Hence, new studies are proposed. Practical implications The paper includes implications for the development of informal inbound OI led by knowledge-driven approach. Originality/value This paper offers an empirical research to investigate knowledge-driven preferences in informal inbound OI modes.

On the path towards open innovation: assessing the role of knowledge management capability and environmental dynamism in SMEs

Abstract: Purpose This study aims to shed light on the internal and external antecedents of open innovation (OI) in the context of small- and medium-sized enterprises (SMEs), with a special focus on the role of knowledge management (KM) capability. The paper develops and tests an integrative research model which assesses the effect of internal factors on KM capability; the impact of organizational and external factors, namely, KM capability and environmental dynamism, on OI; and whether environmental dynamism moderates the relationship between KM capability and OI. Design/methodology/approach Drawing on the knowledge-based view and the social exchange and the contingency theories, this paper develops an integrative research model which analyzes several relations between organizational antecedents of KM capability and its effect on OI by using covariance-based structural equation modeling on a data set of Spanish SMEs. Findings Results confirm that information technology-supported operations and commitment-based human resource practices have a positive and significant influence on KM capability. In contrast, results do not find support for the relationship between interdepartmental connectedness and KM capability, whereas both KM capability and environmental dynamism have a direct influence on OI. Originality/value This paper adds to existing research on OI, as it is the first study that addresses the critical role of KM capability for the implementation of OI.

Global ranking of knowledge management and intellectual capital academic journals: 2013 update

Abstract: Purpose – The purpose of this study is to update a global ranking of knowledge management and intellectual capital (KM/IC) academic journals.Design/methodology/approach – Two different approaches were utilized: a survey of 379 active KM/IC researchers; and the journal citation impact method. Scores produced by the application of these methods were combined to develop the final ranking.Findings – Twenty‐five KM/IC‐centric journals were identified and ranked. The top six journals are: Journal of Knowledge Management, Journal of Intellectual Capital, The Learning Organization, Knowledge Management Research & Practice, Knowledge and Process Management and International Journal of Knowledge Management. Knowledge Management Research & Practice has substantially improved its reputation. The Learning Organization and Journal of Intellectual Capital retained their previous positions due to their strong citation impact. The number of KM/IC‐centric and KM/IC‐relevant journals has been growing at the pace of one new ...

Managing knowledge assets for open innovation: a systematic literature review

Abstract: Purpose Knowledge assumes a pivotal role in the open innovation (OI) paradigm. Yet OI has been scantly investigated by adopting a knowledge management (KM) lens. Therefore, the purpose of this paper is to provide a systematic literature review of the KM practices analysed by prior literature to support OI activities. Design/methodology/approach To perform a valuable literature review, the steps for systematic review proposed by previous studies have been adopted. These steps have yielded a final sample of 34 articles. Afterward, the authors have distinguished and analysed the identified articles according to the three main OI processes, i.e. inbound, outbound and coupled OI processes. Findings This research groups and highlights the most relevant KM practices to support OI activities on the basis of the inbound, outbound and coupled OI processes. Originality/value Despite knowledge is the most relevant resource exchanged in OI activities, this is the first attempt to highlight how knowledge should be managed in an OI context by adopting a KM lens. Furthermore, the authors also identify relevant topics that have been so far understudied, which the authors suggest as future research directions.

Knowledge management as a factor for the formulation and implementation of organization strategy

Abstract: Purpose Knowledge management (KM) and organization strategy are both important to the success of an organization. This study aims to assess the research needs of their interrelationship. Design/methodology/approach The research is based on a collection of over 200 interviews of KM worldwide experts. Their inputs have been categorized based on the frequency of their occurrence. Findings This study looked at the research themes recommended by the experts and concluded that KM is to be regarded as a factor for the formulation and implementation of the organization strategy. Research limitations/implications The sample of scholars and practitioners interviewed, the analysis approach used and the use of broad questions and dimensions are some of the limitations of this study. Nevertheless, a variety of effects KM has on the formulation and implementation of company strategy has emerged. Practical implications Organizations would improve their chances of success in a changing and competitive world by integrating the KM approach, methods and goals within the articulation of their strategy. Originality/value This study is original in variety because of the wide demographic sample supplied, and to its involvement both of KM academic experts as well as of practitioners. Its value is in the recommendations on the research of KM and organization strategy that would be of value, not only to organizations looking for ways to make their strategy more effective but also to those willing to implement KM in a better way.

Big Data Text Analytics an enabler of Knowledge Management

Abstract: Purpose The purpose of this paper is to examine the role of big data text analytics as an enabler of knowledge management (KM). The paper argues that big data text analytics represents an important means to visualise and analyse data, especially unstructured data, which have the potential to improve KM within organisations. Design/methodology/approach The study uses text analytics to review 196 articles published in two of the leading KM journals – Journal of Knowledge Management and Journal of Knowledge Management Research & Practice – in 2013 and 2014. The text analytics approach is used to process, extract and analyse the 196 papers to identify trends in terms of keywords, topics and keyword/topic clusters to show the utility of big data text analytics. Findings The findings show how big data text analytics can have a key enabler role in KM. Drawing on the 196 articles analysed, the paper shows the power of big data-oriented text analytics tools in supporting KM through the visualisation of data. In this way, the authors highlight the nature and quality of the knowledge generated through this method for efficient KM in developing a competitive advantage. Research limitations/implications The research has important implications concerning the role of big data text analytics in KM, and specifically the nature and quality of knowledge produced using text analytics. The authors use text analytics to exemplify the value of big data in the context of KM and highlight how future studies could develop and extend these findings in different contexts. Practical implications Results contribute to understanding the role of big data text analytics as a means to enhance the effectiveness of KM. The paper provides important insights that can be applied to different business functions, from supply chain management to marketing management to support KM, through the use of big data text analytics. Originality/value The study demonstrates the practical application of the big data tools for data visualisation, and, with it, improving KM.

Looking beyond knowledge sharing: an integrative approach to knowledge management culture

Abstract: Purpose This study aims to identify the main knowledge processes associated with organizational knowledge culture. A diverse range of knowledge processes have been referred to in the extant literature, but little agreement exists on which knowledge processes are critical and should be supported by organizational culture. Design/methodology/approach Using a systematic literature review methodology, this study examined the primary literature – peer-reviewed and scholarly articles published in the top seven knowledge management and intellectual capital (KM/IC)-related journals. Findings The core knowledge processes have been identified – knowledge sharing, knowledge creation and knowledge implementation. The paper suggests that a strategy for implementing successful organizational KM initiatives requires precise understanding and effective management of the core knowledge infrastructures and processes. Although technology infrastructure is an important aspect of any KM initiative, the integration of knowledge into management decisions and practices relies on the extent to which the organizational culture supports or hinders knowledge processes. Research limitations/implications The focus of the study was on the articles published in the top seven KM/IC journals; important contributions in relevant publications in other KM journals, conference papers, books and professional reports may have been excluded. Practical implications Practitioners will benefit from a better understanding of knowledge processes involved in KM initiatives and investments. From a managerial perspective, the study offers an overview of the state of organizational knowledge culture research and suggests that for KM initiatives to be successful, the organization requires an integrated culture that is concerned with knowledge processes as a set of inextricably inter-related processes. Originality/value For the first time, a comprehensive list of diverse terms used in describing knowledge processes has been identified. The findings remove the conceptual ambiguity resulting from the inconsistent use of different terms for the same knowledge process by identifying the three major and overarching knowledge processes. Moreover, this study points to the need to attend to the inextricably interrelated nature of these three knowledge processes. Finally, this is the first time that a study provides evidence that shows the KM studies appear to be biased towards Knowledge sharing.

Empowering group leaders encourages knowledge sharing: integrating the social exchange theory and positive organizational behavior perspective

Abstract: Purpose Knowledge sharing usually happens in a work group context, but it is rarely know how group leaders influence their members’ knowledge-sharing performance. Based on social exchange theory (SET) and the perspective of positive organizational behavior (POB), this study aims to argue that a group leader’s positive leadership (e.g. empowering leadership) can help group members develop positive psychological capital which can increase their knowledge sharing. Design/methodology/approach The authors conduct a multilevel analysis to explore the interrelationship among empowering leadership, psychological capital and knowledge sharing. The sample includes 64 work groups consisting of 537 group members, and empirical testing is carried out by hierarchical linear modeling. Findings The results show that empowering leadership in a work group has a direct cross-level impact on members’ knowledge sharing and that psychological capital partially mediates the relationship between empowering leadership and knowledge sharing. As a result, this study shows that group leaders with positive leadership can help their members develop better positive psychological resources, which should lead to better knowledge sharing. Originality/value Based on the multilevel perspective and SET, this is the first study to explore how group leaders’ empowering leadership influences members’knowledge sharing. Depending on integrating the POB perspective into SET, this study is also the first one that connects two emerging and important research issues – POB and knowledge sharing.

Knowledge strategy planning: an integrated approach to manage uncertainty, turbulence, and dynamics

Abstract: Purpose Knowledge strategy and its planning are affected by uncertainty and environmental turbulence. This paper aims to discuss these issues and present knowledge strategy planning as an integrated approach for facing these conditions. Design/methodology/approach Based on an extensive survey and an original re-elaboration of the literature, the paper addresses these research questions: What is the meaning of knowledge strategy, and how can it be related to concepts such as strategic thinking, business strategy and knowledge management (KM) in organizations? What are the limitations of a pure rational approach to knowledge strategy in turbulent environments and under uncertainty? and What approaches can be consequently proposed to formulate knowledge strategies? Findings The study provides a critical reading of the current literature. Also, it proposes an integrated approach that sees planning as a continuous effort of learning and adaptation to needs and opportunities that dynamically emerge from daily practices. Research limitations/implications The proposed framework can inspire a new research agenda to detect how knowledge strategies are planned in companies and how they are continuously adapted on the basis of a dialog between rational contributions and perceptions of reality, practical views, intuitions and emotions. This can also inspire a new agenda for company strategists and KM professionals. Originality/value In the literature, little attention has been devoted to knowledge strategy planning. The paper contributes to fill this gap and proposes a new way to see knowledge strategy as an integration of rational thinking and dynamic learning.

Business analytics-enabled decision-making effectiveness through knowledge absorptive capacity in health care

Abstract: Purpose Drawing on the resource-based theory and dynamic capability view, this paper aims to examine the mechanisms by which business analytics (BA) capabilities (i.e. the effective use of data aggregation, analytics and data interpretation tools) in healthcare units indirectly influence decision-making effectiveness through the mediating role of knowledge absorptive capacity. Design/methodology/approach Using a survey method, this study collected data from the hospitals in Taiwan. Of the 155 responses received, three were incomplete, giving a 35.84 per cent response rate with 152 valid data points. Structural equation modeling was used to test the hypotheses. Findings This study conceptualizes, operationalizes and measures the BA capability as a multi-dimensional construct that is formed by capturing the functionalities of BA systems in health care, leading to the conclusion that healthcare units are likely to obtain valuable knowledge through using the data analysis and interpretation tools effectively. The effective use of data analysis and interpretation tools in healthcare units indirectly influence decision-making effectiveness, an impact that is mediated by absorptive capacity. Originality/value This study adds values to the literature by conceptualizing BA capabilities in healthcare and demonstrating how knowledge absorption matters when implementing BA to the decision-making process. The mediating role of absorptive capacity not only provides a mechanism by which BA can contribute to decision-making practices but also offers a new solution to the puzzle of the IT productivity paradox in healthcare settings.

An exploration of contemporary organizational artifacts and routines in a sustainable excellence context

Abstract: Purpose Organizations and their members operate in increasingly complex, dynamic and even disruptive environments, with risk and uncertainty being major challenges. To that effect, data, information, knowledge, and respective competences are increasingly instrumental in enabling and sustaining organizational intelligence that translates into resilience in the shorter and sustainable excellence in the longer term. Therefore, the purpose of this paper is to explore the role of the artifacts and routines in a sustainable organizational excellence context. Design/methodology/approach An extensive literature review was used to develop the context of the paper, focusing on big data and organizational intelligence for enterprise excellence and resilience. In addition, a thematic literature review method was used to study the role and impacts of routines and artifacts in organizational change, policies, structure and performance. Findings Although many traditional management practices retain their validity, knowledge management must give a clearer view of the existing connection between firm-level competitive advantage in open economies flows and difficult-to-use knowledge assets. The proposed framework studies knowledge exploration and knowledge exploitation as organizational phenomena opposed and mutually incompatible. Originality/value The paper presents a first attempt to study the linkages of organizational routines and artifacts as a cycle wherein knowledge acquisition and learning competencies form and enhance a firm’s organizational intelligence, leading to robust competitiveness and sustainable entrepreneurship.

Managing extracted knowledge from big social media data for business decision making

Abstract: Purpose This paper aims to propose a knowledge management (KM) framework for leveraging big social media data to help interested organizations integrate Big Data technology, social media and KM systems to store, share and leverage their social media data. Specifically, this research focuses on extracting valuable knowledge on social media by contextually comparing social media knowledge among competitors. Design/methodology/approach A case study was conducted to analyze nearly one million Twitter messages associated with five large companies in the retail industry (Costco, Walmart, Kmart, Kohl’s and The Home Depot) to extract and generate new knowledge and to derive business decisions from big social media data. Findings This case study confirms that this proposed framework is sensible and useful in terms of integrating Big Data technology, social media and KM in a cohesive way to design a KM system and its process. Extracted knowledge is presented visually in a variety of ways to discover business intelligence. Originality/value Practical guidance for integrating Big Data, social media and KM is scarce. This proposed framework is a pioneering effort in using Big Data technologies to extract valuable knowledge on social media and discover business intelligence by contextually comparing social media knowledge among competitors.

Does big data mean big knowledge? KM perspectives on big data and analytics

Abstract: Purpose This viewpoint study aims to make the case that the field of knowledge management (KM) must respond to the significant changes that big data/analytics is bringing to operationalizing the production of organizational data and information. Design/methodology/approach This study expresses the opinions of the guest editors of “Does Big Data Mean Big Knowledge? Knowledge Management Perspectives on Big Data and Analytics”. Findings A Big Data/Analytics-Knowledge Management (BDA-KM) model is proposed that illustrates the centrality of knowledge as the guiding principle in the use of big data/analytics in organizations. Research limitations/implications This is an opinion piece, and the proposed model still needs to be empirically verified. Practical implications It is suggested that academics and practitioners in KM must be capable of controlling the application of big data/analytics, and calls for further research investigating how KM can conceptually and operationally use and integrate big data/analytics to foster organizational knowledge for better decision-making and organizational value creation. Originality/value The BDA-KM model is one of the early models placing knowledge as the primary consideration in the successful organizational use of big data/analytics.

Facilitating knowledge management through filtered big data: SME competitiveness in an agri-food sector

Abstract: This paper aims to critique a facilitated knowledge management (KM) process that utilises filtered big data and, specifically, the process effectiveness in overcoming barriers to small and medium-sized enterprises’ (SMEs’) use of big data, the processes enablement of SME engagement with and use of big data and the process effect on SME competitiveness within an agri-food sector.,From 300 participant firms, SME owner-managers representing seven longitudinal case studies were contacted by the facilitator at least once-monthly over six months.,Results indicate that explicit and tacit knowledge can be enhanced when SMEs have access to a facilitated programme that analyses, packages and explains big data consumer analytics captured by a large pillar firm in a food network. Additionally, big data and knowledge are mutually exclusive unless effective KM processes are implemented. Several barriers to knowledge acquisition and application stem from SME resource limitations, strategic orientation and asymmetrical power relationships within a network.,By using Dunnhumby data, this study captured the impact of only one form of big data, consumer analytics. However, this is a significant data set for SME agri-food businesses. Additionally, although the SMEs were based in only one UK region, Northern Ireland, there is wide scope for future research across multiple UK regions with the same Dunnhumby data set.,The study demonstrates the potential relevance of big data to SMEs’ activities and developments, explicitly identifying that realising this potential requires the data to be filtered and presented as market-relevant information that engages SMEs, recognises relationship dynamics and supports learning through feedback and two-way dialogue. This is the first study that empirically analyses filtered big data and SME competitiveness. The examination of relationship dynamics also overcomes existing literature limitations where SMEs’ constraints are seen as the prime factor restricting knowledge transfer.

How family firms execute open innovation strategies: the Loccioni case

Abstract: Purpose This paper aims to shed light on how family firms execute open innovation strategies by managing internal and external knowledge flows. Design/methodology/approach First, through a comprehensive literature review, the paper identifies the barriers to the acquisition and transfer of knowledge in open innovation processes. Second, it presents and discusses the results of an exploratory case study on Loccioni, an Italian family firm providing high-tech measurement solutions, highlighting how this family firm managed to overcome the barriers in executing an open innovation strategy. Findings The case study shows that Loccioni faced specific challenges in acquiring and transferring knowledge in its open innovation processes and developed two idiosyncratic capabilities – labelled imprinting and fraternization – that helped the firm overcome the barriers to knowledge acquisition and transfer. The analysis shows that these two capabilities are enabled by the distinctive goals and social capital characterizing family firms. Originality/value The paper creates a link between open innovation and family business research with an empirically grounded model illustrating how the idiosyncratic capabilities of a family firm help overcome the critical barriers to the acquisition and transfer of knowledge in executing an open innovation strategy.

Knowledge management, problem solving and performance in top Italian firms

Abstract: Purpose The purpose of this paper is to empirically test the link between knowledge management practices, problem-solving processes and organizational performance. Design/methodology/approach This study uses survey data from 112 leading Italian companies. To test the structural relations of the research model, we used the partial least squares method. Findings Results show a strong relationship between knowledge management practices and intermediate activities of creative problem solving and problem-solving speed. In addition, creative problem solving has a direct impact on both organizational and financial performances, whereas problem-solving speed has a direct effect only on financial performance. Research limitations/implications The focus on top Italian firms limits the generalizability of results. Practical implications This study provides empirical evidence of the importance of knowledge management practices for problem-solving activities and firm performance. Originality/value The present paper fills an important gap in the extant literature by conceptualizing and empirically testing the relationship between knowledge management, problem-solving processes (creative problem solving and problem-solving speed) and firm performance. This study is the first ever to study these relationships within the Italian context.

How the Internet of Things can help knowledge management: a case study from the automotive domain

Abstract: Current knowledge management (KM) systems cannot be used effectively for decision-making because of the lack of real-time data. This study aims to discuss how KM can benefit by embedding Internet of Things (IoT).,The paper discusses how IoT can help KM to capture data and convert data into knowledge to improve the parking service in transportation using a case study.,This case study related to intelligent parking service supported by IoT devices of vehicles shows that KM can play a role in turning the incoming big data collected from IoT devices into useful knowledge more quickly and effectively.,The literature review shows that there are few papers discussing how KM can benefit by embedding IoT and processing incoming big data collected from IoT devices. The case study developed in this study provides evidence to explain how IoT can help KM to capture big data and convert big data into knowledge to improve the parking service in transportation.

An investigation of factors affecting knowledge sharing amongst UK academics

Abstract: Purpose The purpose of this paper is to construct and investigate relationships between knowledge-sharing factors, attitude and the intention to share of UK academics, as research on knowledge sharing in higher education is extremely sparse. Design/methodology/approach A research model and hypotheses were constructed from individual and organisational factors that were identified to affect knowledge sharing. Questionnaire data were obtained from 367 academics concerning their attitude and intention towards knowledge sharing. This was then used in a two-stage structural equation modelling approach where the measurement model was used for confirmatory factor analysis. The structural model was used to measure and test the hypothesised relationships. Findings Findings indicate that, in general, individual beliefs amongst academics were more influential on their knowledge-sharing attitudes than organisational culture. Furthermore, leadership was the most influential factor within the overall organisational culture whereas autonomy demonstrated the weakest relationship. Belief in the possibility of rewards through associations was found to be a highly significant individual factor. The relationship between attitude and intention was relatively weak although still statistically significant. Originality/value The research demonstrates that management should ensure that departmental leaders promote knowledge sharing and that valued rewards are linked to sharing within the department.

Knowledge from customer, for customer or about customer: which triggers innovation capability the most?

Abstract: Purpose This paper examines the influence of three dimensions of customer knowledge management – knowledge from customer, knowledge for customer and knowledge about customer – on innovation capabilities (speed and quality) and new service market performance. Design/methodology/approach The model links three dimensions of customer knowledge management to two dimensions of innovation capabilities. Further, the model links two dimensions of innovation capabilities to new service market performance. Analysis was conducted through structural equation modelling using SmartPLS software, using data from 253 managers representing 26 banks in Bangladesh. Findings The findings of this study show that knowledge from customer and knowledge for customer are the most influential predictors of new service market performance. Of the three dimensions of customer knowledge management, knowledge from customer turns out to be the strongest predictor of innovation quality and speed. Innovation quality has a greater impact on new service market performance than innovation speed. Innovation capability (quality and speed) plays a mediating role in this study. Practical implications Managing knowledge from, for and about customer should be systematically considered as a synergy approach to firms’ processes and activities to co-create value with customers. In particular, managers should put more emphasis on knowledge from and for customer to enhance innovation capacity and achieve success in the development of a new service. Originality/value This paper empirically supports the significant influence of knowledge from, for and about customer on innovation capabilities (quality and speed) and new service market performance. While the results provide guidance for researchers and practitioners, it also adds value to innovation-related research.

Information and reformation in KM systems: big data and strategic decision-making

Abstract: Purpose The purpose of this paper is to provide a theoretical framework of how knowledge management (KM) systems can facilitate the incorporation of big data into strategic decisions. Advanced analytics are becoming increasingly critical in making strategic decisions in any organization from the private to public sectors and from for-profit companies to not-for-profit organizations. Despite the growing importance of capturing, sharing and implementing people’s knowledge in organizations, it is still unclear how big data and the need for advanced analytics can inform and, if necessary, reform the design and implementation of KM systems. Design/methodology/approach To address this gap, a combined approach has been applied. The KM and data analysis systems implemented by companies were analyzed, and the analysis was complemented by a review of the extant literature. Findings Four types of data-based decisions and a set of ground rules are identified toward enabling KM systems to handle big data and advanced analytics. Practical implications The paper proposes a practical framework that takes into account the diverse combinations of data-based decisions. Suggestions are provided about how KM systems can be reformed to facilitate the incorporation of big data and advanced analytics into organizations’ strategic decision-making. Originality/value This is the first typology of data-based decision-making considering advanced analytics.

Interrelationship between big data and knowledge management: an exploratory study in the oil and gas sector

Abstract: Purpose The purpose of this paper is to explore the relationship between big data and knowledge management (KM). Design/methodology/approach The study adopts a qualitative research methodology and a case study approach was followed by conducting nine semi-structured interviews with open-ended and probing questions. Findings Useful predictive knowledge can be generated through big data to help companies improve their KM capability and make effective decisions. Moreover, combination of tacit knowledge of relevant staff with explicit knowledge obtained from big data improvises the decision-making ability. Research limitations/implications The focus of the study was on oil and gas sector, and, thus, the research results may lack generalizability. Originality/value This paper fulfills an identified need of exploring the relationship between big data and KM which has not been discussed much in the literature.

How gamification of an enterprise collaboration system increases knowledge contribution: an affordance approach

Abstract: Purpose This study aims to examine how gamification increases employees’ knowledge contribution to the place of work. It develops and tests the conjecture that gamification adds hedonic value to the use of an enterprise collaboration system (ECS), which, in turn, increases in both the quality and quantity of knowledge contribution. Design/methodology/approach Drawing on the framework of successful gamification against a backdrop of affordance theory, this study develops and tests a theoretical model that explains the effects of gamification affordances on knowledge contribution via the use of an ECS. Empirical data were gathered from 166 employees at a global company that used a gamified ECS designed to aid knowledge sharing. Findings Results using structural equation modeling showed that three gamification affordances – rewardability, competition and visibility of achievement – jointly influenced employees’ perceived hedonic value of the ECS, which, in turn, increased knowledge contribution. Practical implications The results indicate that designing affordances that can increase hedonic value is central to facilitating employees’ knowledge contribution. However, simply incorporating game artifacts does not guarantee increased hedonic value of an ECS. Instead, assessing, monitoring and diagnosing what affordances users perceive from the use of a gamified system are important. Originality/value By conceptualizing gamification affordances rather than specifying the design features of enterprise applications, this study provides meaningful insights into how the benefits of gamification can be harnessed for knowledge management in organizations.

Big data systems: knowledge transfer or intelligence insights?

Abstract: Purpose This paper aims to bring together the existing theory from knowledge management (KM), competitive intelligence (CI) and big data analytics to develop a more comprehensive view of the full range of intangible assets (data, information, knowledge and intelligence). By doing so, the interactions of the intangibles are better understood and recommendations can be made for the appropriate structure of big data systems in different circumstances. Metrics are also applied to illustrate how one can identify and understand what these different circumstances might look like. Design/methodology/approach The approach is chiefly conceptual, combining theory from multiple disciplines enhanced with practical applications. Illustrative data drawn from other empirical work are applied to illustrate some concepts. Findings Theory suggests that the KM theory is particularly useful in guiding big data system installations that focus primarily on the transfer of data/information. For big data systems focused on analytical insights, the CI theory might be a better match, as the system structures are actually quite similar. Practical implications Though the guidelines are general, practitioners should be able to evaluate their own situations and perhaps make better decisions about the direction of their big data systems. One can make the case that all the disciplines have something to add to improving how intangibles are deployed and applied and that improving coordination between KM and analytics/intelligence functions will help all intangibles systems to work more effectively. Originality/value To the authors’ knowledge, very few scholars work in this area, at the intersection of multiple types of intangible assets. The metrics are unique, especially in their scale and attachment to theory, allowing insights that provide more clarity to scholars and practical direction to industry.

Ambidexterity of employees: the role of empowerment and knowledge sharing

Abstract: Purpose The aim of this study is to empirically test the link between employee ambidexterity and two supportive organizational cultures, namely, a perceived culture of empowerment and a knowledge-sharing culture. Furthermore, the paper addresses the mechanisms through which these supportive organizational cultures work to enable employees to engage in ambidextrous behaviour. Specifically, the role of intrinsic motivation is investigated. Design/methodology/approach Data were obtained from 136 managers employed in the five main Belgian service sectors. Findings The findings indicate that a perceived culture of empowerment is positively related to intrinsic motivation, which in turn facilitates employee ambidexterity. Also, a moderating effect of extrinsic motivation on employee ambidextrous behaviour is found. At the same time, a perceived knowledge-sharing culture is having no effect on ambidexterity or intrinsic motivation. Research limitations/implications Insights into the roles of individuals in achieving ambidexterity help to advance the theoretical understanding of how a supportive organizational context may enhance employee ambidexterity. Originality/value Despite the growing body of research on antecedents of ambidexterity, there is still lack of thorough understanding of how a supportive organizational context may enhance employee ambidexterity and the roles of individuals in achieving ambidexterity. This is one of the first studies that investigate these factors in relation to individual level ambidexterity (as opposed to organization level ambidexterity).

Managing knowledge in open innovation processes: an intellectual property perspective

Abstract: Purpose As firms turn their innovation activities toward collaborating with external partners, they face additional challenges in managing their knowledge. While different modes of intellectual property right regimes are applied in closed innovation systems, there seems to be tension between the concepts of “open innovation” and “intellectual property rights”. The purpose of this paper is to investigate how firms best manage knowledge via intellectual property rights in open innovation processes. Design/methodology/approach Following a mixed methods approach, the authors review relevant literature at the intersection of knowledge management, intellectual property rights, strategic management of intellectual property rights and the open innovation process. The authors identify success drivers through the lenses of – but not limited to – intellectual property rights and classify them in five distinct groups. Expending the view on open innovation beyond its modus operandi, the authors develop the Open Innovation Life Cycle, covering three stages and three levels of the open innovation process. The authors apply their findings to a case study in the pharmaceutical industry. Findings The authors provide four key contributions. First, existing literature yields inconclusive results concerning the enabling or disabling function of intellectual property rights in open innovation processes, but the majority of scholars detect an ambivalent relation. Second, they identify and classify success drivers of successful knowledge management via intellectual property rights in open innovation processes. Third, they advance literature on open innovation beyond its modus operandi to include three stages and three levels. Fourth, they test their findings to a case study and show how management leverages knowledge by properly using intellectual property rights in open innovation. Practical implications The findings support firms in managing knowledge via intellectual property rights in open innovation processes. Management should account for the peculiarities of open innovation preparation and open innovation termination to prevent unintentional knowledge drain. Originality/value This is one of the first studies to view open innovation as a process beyond its modus operandi by considering the preparations for and termination of open innovation activities. It also addresses the levels involved in managing knowledge via intellectual property rights in open innovation from individual (personal) to project and firm level.

Assessing the universality of knowledge management practices

Abstract: Purpose This paper aims to contribute to the emerging discussion on the contextualization of knowledge-oriented research by examining the universality of knowledge management (KM) practices. Knowledge is a firm’s most valuable resource, and KM, or the ability to leverage knowledge resources, constitutes the base for the firm’s competitive advantages. Design/methodology/approach A theorized ten-fold conceptualization of KM practices is tested on a sample of 622 firms from four countries (Finland, Spain, China and Russia). Confirmatory factor analysis and principal component analysis are used to test the applicability of the concept in various country contexts. Findings The findings provide interesting evidence of variation in the managerial assessment of KM practices among countries. This shows that KM practices are socially embedded phenomena, affected by the managers’ institutional and cultural contexts. Research limitations/implications Researchers and managers are advised to be mindful of the differences in terms of KM practices between the studied countries and to display a certain cultural sensitivity when approaching KM. Originality/value The paper is the first to examine the managerially assessed structure of KM practices in a cross-country context with multi-firm datasets. The results will help to determine the similarity of KM practices in four economically and culturally distinct countries. It also adds to the discussion about the potential national peculiarities of KM and provides a novel concept of KM practices, which is tested in a cross-national context. Thus, this study provides an outline for future KM studies and increases managerial understanding about the variety of value-creating KM practices.

Antecedents and effects of individual absorptive capacity : a micro-foundational perspective on open innovation

Abstract: Purpose The paper aims to understand how individuals differ in individual absorptive capacity – their ability to recognize, assimilate, transform and exploit external knowledge. These individual absorptive capacities are a key knowledge management building block for an organization’s open innovation practices. The study examines individual antecedents – human capital, social capital and cognition – and innovation outcomes of individual absorptive capacity. Design/methodology/approach This is a quantitative study of 147 employees in a single medium-sized Dutch industrial firm. Based on a survey and structural equation modeling, the antecedents’ prior knowledge diversity, network diversity and cognitive style are examined in relation to individual absorptive capacity. Further, the mediating effects of individual absorptive capacity on its antecedents and innovation outcome are investigated. Findings The main findings are that prior knowledge diversity, external network diversity and a bisociative cognitive style explain differences in individual absorptive capacity. A bisociative cognitive style appears to be the most important factor. Also, this study finds that individual absorptive capacity mediates between its antecedents and individual innovation performance and is therefore a relevant factor to capture value from external knowledge sources. Research limitations/implications The study extends open innovation theory by exploring individual-level factors that explain the ability to capture value from external knowledge. It suggests that differences in open innovation practices are explained by heterogeneity at the individual level. Further, it explains how individuals’ potentials for open innovation are mediated by their absorptive capacities. These insights enable future researchers to further examine individual-level factors in knowledge management practices and to explore cross-level individual-organizational interactions for open innovation. Practical implications This paper highlights that individuals’ engagements in open innovation practices are explained not only by individuals’ motivations but also by their abilities to absorb external knowledge. Further, it helps managers to design knowledge management practices to promote employees’ absorptive capacities, to improve open innovation processes. Originality/value This study investigates the neglected individual-level factors of open innovation practices from a micro-foundational and knowledge management perspective. To our best knowledge, this is the first study to examine individual-level antecedents and outcomes of individual absorptive capacity.

Knowledge collaboration between organizations and online communities: the role of open innovation intermediaries

Abstract: This research paper aims to examine how open innovation (OI) intermediaries facilitate knowledge collaboration between organizations and online user communities. Drawing on a Community of Practice (CoP) perspective on knowledge, the study lays out a framework of the knowledge boundary management mechanisms (and associated practices) that intermediaries deploy in enabling client organizations to engage in online community-based OI.,This research is based on an exploratory case study of an OI intermediary and 18 client organizations that engage with online user communities on the intermediary’s platform. Results incorporate both the intermediary and clients’ perspective, based on analysis of intermediary and client interviews, clients’ online community projects and other archival data.,Results reveal that OI intermediaries deploy three knowledge boundary management mechanisms – syntactic, semantic and pragmatic – each underpinned by a set of practices. Together, these mechanisms enable knowledge transfer, translation and transformation, respectively, and thus lead to cumulatively richer knowledge collaboration outcomes at the organization–community boundary. The findings show that the pragmatic mechanism reinforces both semantic and syntactic mechanisms, and is hence the most critical to achieving effective knowledge collaboration in community-based OI settings.,The findings suggest that OI intermediaries have to implement all three boundary management mechanisms to successfully enable knowledge collaboration for community-based OI. More specifically, intermediaries need to expand their focus beyond the development of digital platforms, to include nuanced efforts at building organizational commitment to community engagement.,Drawing on the CoP view, this study integrates the knowledge management literature into the OI literature to conceptualize the role of OI intermediaries in shaping knowledge collaboration between organizations and communities. In engaging with the interactive nature of knowledge exchange in such multi-actor settings, this research extends the firm-centric theorization of knowledge that currently dominates the existing OI research.

How does individuals’ exchange orientation moderate the relationship between transformational leadership and knowledge sharing?

Abstract: Purpose This study aims to explore the complex relationship between leadership and organizational knowledge sharing by investigating the moderating role of exchange ideology on the relation between transformational leadership in attributed charisma and knowledge sharing and the influence of attributed charisma and knowledge sharing on task performance. The influence of leadership in organizational knowledge sharing process has been gradually highlighted. Design/methodology/approach Based on the review of relevant literature and survey, a structural equation model considering four factors in the model together is now constructed and provides four hypotheses which can be verified. Self-completed questionnaires were collected from 163 students in the context of a graduate class in China. Findings The findings illustrate the relationship between leadership theory and knowledge sharing from a perspective of social exchange theory. In particular, results show that both transformational leadership and knowledge sharing have positive impacts to task performance and for individuals with low exchange ideology the positive influence from attributed charisma to knowledge sharing is stronger. Originality/value This research introduces exchange ideology as a moderator and explains the complex relationship between transformational leadership and knowledge sharing with sufficient proof. Transformational leadership in attributed charisma is more effective to those individuals with low exchange ideology in facilitating their knowledge effort. This paper can be theoretically and practically helpful to researchers and enterprise leaders in organizational knowledge management.