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This study aims to present the conceptualization and measurement of knowledge generation competence (KGC) as the fundament for firm's internal knowledge generation. Furthermore, it seeks to assess different antecedents of a firm's KGC and its potential for improving a firm's innovativeness.

Data were collected by nationwide mail survey in the German automation and the consulting industry. The final sample consists of 110 respondents (response rate of 32.9 percent). The measurement model was tested by using structural equation modeling applying partial least squares (PLS) estimation. PLS was also used to investigate the relationships between KGC, its antecedents and innovativeness.

The findings support the conceptualization and measurement of knowledge generation competence (KGC). The included dimensions explained 47.6 percent of the variance of knowledge generation competence. Furthermore, most of the relationships included in the research model were supported by the empirical data.

The data suggest that firms which want to increase their innovativeness can develop their knowledge generation competence by providing learning orientation culture and investing in human resource practices.

The paper aids in uncovering the relationship between organizational learning, human resource practices, knowledge generation competence, and innovativeness of a firm.

This study aims to determine the impact of social media usage on university student’s academic performance in Ghana.

A quantitative research method was used for the study. With the aid of a simple random sampling technique, quantitative data were obtained from 373 out of 400 respondents representing 93 per cent of volunteered participants. Data collected was analysed using structural equation modelling to establish the relationship among social media information, social media entertainment, social media innovation, social media knowledge generation and student performance.

The findings of this study indicate that social media information, social media innovation and social media entertainment all had a significant positive influence on social media knowledge generation, which has wide learning and knowledge management implications. Also, the study indicated that information computer technology knowledge moderates the relationship between social media and student performance.

The sample taken was mainly cross-sectional in nature rendering the inference of causal relationships between the variables impossible. Future researchers should adopt a longitudinal research design to examine causality. Finally, the study was limited to only university students in Accra, Ghana. Future research can extend to a bigger student population and to other West African and African countries.

This paper will serve as a profitable source of information for managers and researchers who may embark on future research on social media and academic performance. The findings that social media information, innovation and entertainment can likewise enhance social media knowledge generation can help managers and university teachers to use the vehicle of innovation and entertainment to communicate knowledge.

The findings of this study will help policymakers in education and other industries that engage the youth to realise the important factors that can make them get the best in the social media space.

Social media usage in academic performance is increasingly prevalent. However, little is known about how social media knowledge generation mediates between social media usage and academic performance and, furthermore, whether the information computer technology knowledge level of students moderates the relationship between social media knowledge generation and academic performance of university students in sub-Saharan Africa, particularly Ghana. Theoretically, the findings of this study provide clear research evidence to guide various investigations that can be done on the relationships of the variables under social media usage, knowledge generation and university student performance, which advances the diffusion of new knowledge.

The knowledge generated by academics in the field of management is often criticized because of its reduced relevance for professionals. In the review of the literature, the authors distinguish between three streams of thought. The review of the literature and the understanding of the research streams that have been addressed by the academic–practitioner gap in management has allowed to clarify that what truly underlies each of these approaches is a different assumption or paradigm from which the management science focusses.

This paper reviews the main approaches that have analysed this topic, drawing a number of conclusions.

The knowledge generated by academics in the field of management is often criticized because of its reduced relevance for professionals. In the review of the literature, the authors distinguish between three main perspectives. The review of the literature and the understanding of the research streams that have been addressed by the academic–practitioner gap in management has allowed us to clarify that what truly underlies each of these approaches is a different assumption or paradigm from which the management science focusses. To represent the findings of the literature review in this sense, the authors will present, first, a model that serves as a framework to interpret the different solutions proposed in the literature to close the gap from a positivist paradigm. Subsequently, they question this view through a reflection that brings us closer to a more pragmatic and interpretive paradigm of management science to bridge the research–practice gap.

In recent studies, researchers agree that there is an important gap between management research and practice, which may bear little resemblance to each other. However, the literature on this topic does not seem to be guided by a rigorously structured discourse and, for the most part, is not based on empirical studies. Moreover, a sizeable body of literature has been developed with the objective of analysing and contributing solutions that reconcile management researchers and professionals. To offer a more systematic view of the literature on this topic, the paper classifies previous approaches into three different perspectives based on the ideas on which they are supported. Finally, the paper concludes with some reflections that could help to reorient the paradigm from which the management research is carried out.

This paper aims to analyze the role of a knowledge-based network (k-network) in the intellectual capital (IC) and organizational performance of Brazilian small and medium-sized enterprises (SMEs).

This paper presents a descriptive, qualitative and applied case study, developed taking into account the theories of strategy, IC, networks and finance to analyze the relationship between k-network and the generation of IC and organizational performance in a multifocal perspective (observed in terms of financial and marketing results, efficiency and efficacy and innovation and competitiveness) in Brazilian SMEs.

The findings showed that k-network plays a crucial role in the generation of the IC and improvements in organizational performance in SMEs. In addition, the results revealed the strategic relevance of the relationship between people and enterprises to master the process of creation and sharing information and knowledge in the analyzed network. Taken as a whole, the conclusions demonstrated the establishment of IC (in its three dimensions) as a consequence of the strategic association of SMEs in k-network, as well as the mediation role of IC as a way to promote improvements in organizational performance, considering the observed amelioration in financial results, marketing growth, efficiency, efficacy, innovation and competitiveness.

This research provides theoretical contributions by broadening knowledge of the practical relationship between k-network, IC and the multifocal perspective of SMEs organizational performance – a relevant and underexplored issue in the literature, offering several avenues for future research.

The results highlight the economic, political and social relevance of SMEs and the strategic use of k-network to overcome SMEs organizational, financial and managerial difficulties. In such context, analysts, managers, businesspeople and other decision-makers are expected to use this type of network to improve the IC, in its human, relational and structural dimensions, mastering companies’ knowledge and sustainable organizational performance.

The paper fills a significant research gap, revealing how k-networks can and should be used as a deliberate strategy by SMEs to create, acquire, use, absorb and share information and knowledge, as well as to generate IC, thus providing organizational, financial, innovative and competitive benefits to these enterprises and their network.

Purpose – The author introduces the Eastern philosophy of wisdom, especially its epistemology of Yin-Yang Balancing as the Eastern cognitive frame, to shed light on the debates over the distinction and integration between research and practice as well as between qualitative and quantitative methods so as to solve the problems of relevance-rigor gap as well as complexity-simplicity gap. The author also applies the frame of Yin-Yang Balancing to the development of a novel method of case study.

Methodology/Approach – This is a conceptual article.

Central theme – The Eastern philosophy of wisdom is better at an open-minded exploration of open-ended issues by emphasizing relevance and complexity, while the Western philosophy of science is better at a closed-minded exploitation of close-ended issues by emphasizing rigor and simplicity. A geocentric integration of both Eastern and Western philosophies is needed.

Research and practical implications – Management research is far behind the need for theoretical insights into practical solutions largely due to the increasing gaps between relevance and rigor as well as between complex problems and simple solutions. The root cause of the two gaps lies in the overreliance on the Western philosophy of science, so a new light can be found in the Eastern philosophy of wisdom, and the ultimate solution is a geocentric integration of Eastern and Western philosophies. A novel method of case study can be built by applying the Eastern philosophy.

Originality/Value – The author highlights the urgent needs for the Eastern philosophy of wisdom and its integration with the Western philosophy of science toward a geocentric meta-paradigm. As a specific application of the geocentric meta-paradigm, the author proposes a novel method of case study called Yin-Yang Method.

This study aims to investigate the Big Social Data (BSD) paradigm, which still lacks a clear and shared definition, and causes a lack of clarity and understanding about its beneficial opportunities for practitioners. In the knowledge management (KM) domain, a clear characterization of the BSD paradigm can lead to more effective and efficient KM strategies, processes and systems that leverage a huge amount of structured and unstructured data sources.

The study adopts a systematic literature review (SLR) methodology based on a mixed analysis approach (unsupervised machine learning and human-based) applied to 199 research articles on BSD topics extracted from Scopus and Web of Science. In particular, machine learning processing has been implemented by using topic extraction and hierarchical clustering techniques.

The paper provides a threefold contribution: a conceptualization and a consensual definition of the BSD paradigm through the identification of four key conceptual pillars (i.e. sources, properties, technology and value exploitation); a characterization of the taxonomy of BSD data type that extends previous works on this topic; a research agenda for future research studies on BSD and its applications along with a KM perspective.

The main limits of the research rely on the list of articles considered for the literature review that could be enlarged by considering further sources (in addition to Scopus and Web of Science) and/or further languages (in addition to English) and/or further years (the review considers papers published until 2018). Research implications concern the development of a research agenda organized along with five thematic issues, which can feed future research to deepen the paradigm of BSD and explore linkages with the KM field.

Practical implications concern the usage of the proposed definition of BSD to purposefully design applications and services based on BSD in knowledge-intensive domains to generate value for citizens, individuals, companies and territories.

The original contribution concerns the definition of the big data social paradigm built through an SLR the combines machine learning processing and human-based processing. Moreover, the research agenda deriving from the study contributes to investigate the BSD paradigm in the wider domain of KM.

The purpose of this paper is to structure existing research on knowledge management (KM) in small- and medium-sized enterprises (SMEs) to offer a comprehensive overview of research strands and topics in KM in SMEs to determine their evolution over time.

The paper, which is considered a follow-up literature review, is based on a systematic literature review that covers 180 scientific papers that were published since the review paper by Durst and Edvardsson in 2012 that covered 36 papers.

The findings of this review and those of the aforementioned review are brought together in the form of an overview that structures research on KM in SMEs based on themes that, in turn, allow the derivation of promising research directions and research questions aimed at structuring future research on KM in SMEs.

By combining the findings of this review with the findings from the review published in this journal in 2012, this paper offers, to the best of the authors’ knowledge, the most comprehensive literature review on KM in SMEs produced to date.

This paper aims to describe methods and models designed to build a comprehensive, integrative framework to guide the research to policy and practice cycle in health care.

Current models of science are summarised, identifying specific challenges they create for knowledge to action (KTA). Alternative models for KTA are outlined to illustrate how researchers and decision makers can work together to fit the KTA model to specific problems and contexts. The Canadian experience with the evolving paradigm shift is described, along with recent initiatives to develop platforms and tools that support the new thinking. Recent projects to develop and refine methods for embedded research are described. The paper concludes with a summary of lessons learned and recommendations that will move the KTA field towards an integrated science.

Conceptual models for KTA are advancing, benefiting from advances in team science, development of logic models that address the realities of complex adaptive systems, and new methods to more rapidly deliver knowledge syntheses more useful to decision and policy makers.

KTA is more likely when co‐produced by researchers, practitioners, and policy makers. Closer collaboration requires shifts in thinking about the ways we work, capacity development, and greater learning from practice.

More powerful ways of thinking about the complexities of knowledge to action are provided, along with examples of tools and priorities drawn from systems thinking.

This study aims to advance the understanding of both the challenges and the priorities facing Spanish universities undergoing the digital transformation era, to identify areas for improvement in university management, from a managerial point of view.

To analyze the importance and adequacy of various aspects related to digitalization, the authors use the importance–performance matrix, by surveying figures who have or have had a managerial position in the university, such as rectors and vice-rectors.

The results showed that the priority areas were related to strategic and financial management, knowledge management and the society and environment dimension. It all revealed imbalances, the most important of which were in the areas referring to attracting talent, sources of financing, strategic management and digitalization.

The study could benefit from considering or placing greater emphasis on alternative viewpoints, including those of external experts and administrative managers at public universities.

The practical implications relate to university management. In particular, the study highlights two issues that are a priority: attracting talent and training for university management as well as for data management. It follows from these results that legislative development and public funding should be directed towards adapting the training offer as well as the management structure and processes to the context of digitalization.

These results have implications for the public sphere, for decision-making related to the public funding that organizations receive from governments. Indeed, as the empirical results demonstrate, the proposed framework is effective not only in assessing the status of digitalization in the university but also in providing information on the most important aspects that need particular attention to achieve the desired future condition.

The novelty of this study lies in the analysis and evaluation of the digitalization process and how public universities are facing it, from the perspective of university management. Methodologically, the novelty lies in the use of the importance–performance matrix, which not only provides insight into the importance of different aspects to be analyzed but also provides information about their adequacy.

Understanding the concept of a knowledge‐based economy; having a vision to make a new knowledge economy competitive; and creating and implementing a strategy to achieve that vision, would all seem to be fundamental steps for any economy striving to compete in the new global knowledge marketplace. While such issues may appear obvious, how many economies have actually responded effectively to these challenges? This paper first examines the concept of a knowledge‐based economy and then evaluates the relative performance of Australia across a profile of key knowledge‐based performance indicators. Finally, the paper addresses some key challenges facing Australia, and most other OECD economies, as they try to compete in this knowledge race in the new millennium.