Big Data Analytics Capabilities (BDAC) represent critical tools for business competitiveness in highly dynamic markets. In this connection, by leveraging on the Dynamic Capabilities View (DCV) this study analyses the relationship between BDAC and Business Model Innovation (BMI). It argues that the impact of BDAC (a lower-order dynamic capability) on BMI is mediated by Entrepreneurial Orientation (EO; a higher-order dynamic capability). The proposed model is assessed by PLS-SEM (symmetric) and fuzzy-set Qualitative Comparative Analysis (asymmetric) methods using survey data from 253 UK firms. Our findings demonstrate that BDAC have both direct and indirect positive effects on BMI, with the latter being mediated by EO. These results enrich the innovation management literature on Big Data (BD) by showing that BDAC influence company strategic logics and objectives, rather than depending on them, thus playing a significant role in creating value for companies and their stakeholders.

Purpose Recently, several manuscripts about the effects of big data on organizations used dynamic capabilities as their main theoretical approach. However, these manuscripts still lack systematization. Consequently, the purpose of this paper is to systematize the literature on big data and dynamic capabilities. Design/methodology/approach A bibliometric analysis was performed on 170 manuscripts extracted from the Clarivate Analytics Web of Science Core Collection database. The bibliometric analysis was integrated with a literature review. Findings The bibliometric analysis revealed four clusters of papers on big data and dynamic capabilities: big data and supply chain management, knowledge management, decision making, business process management and big data analytics. The systematic literature review helped to clarify each clusters’ content. Originality/value To the authors’ best knowledge, minimal attention has been paid to systematizing the literature on big data and dynamic capabilities.

This study analyzes the role of the Cultural Intelligence (CQ) of expatriate managers in the processes of Conventional (CKT) and Reverse Knowledge Transfer (RKT) in in Multinational Companies (MNCs). The Partial Least Squares-Structural Equation Modeling (PLS-SEM) technique was adopted to analyze the data from a survey of 103 senior expatriate managers working in Croatia. The study reveals how CQ, in all of its four dimensions (metacognitive, cognitive, behavioral, and motivational), acts as a knowledge de-codification and codification filter, assisting managers in the Knowledge Transfer process. The study also reveals how previous international experience does not moderate the positive effect of CQ on both CKT and RKT, offering important theoretical and practical insights to support MNCs in the KT process.

Purpose Effectively handling knowledge is crucial for any organization to survive and prosper in the turbulent environments of the modern era. Leadership is a central element for knowledge creation, acquisition, utilization and integration processes. Based on these considerations, this study aims to offer an overview of the evolution of the literature regarding the knowledge management-leadership relationship published over the past 20 years. Design/methodology/approach A bibliometric analysis coupled with a systematic literature review were performed over a data set of 488 peer-reviewed articles published from 1990 to 2018. Findings The authors discovered the existence of four well-polarized clusters with the following thematic focusses: human and relational aspects, systematic and performance aspects, contextual and contingent aspects and cultural and learning aspects. The authors then investigated each thematic cluster by reviewing the most relevant contributions within them. Research limitations/implications Based on the bibliometric analysis and the systematic literature review, the authors developed an interpretative framework aimed at uncovering several promising and little explored research areas, thus suggesting an agenda for future knowledge management-leadership research. Some steps of the paper selection process may have been biased by the interpretation of the researcher. The authors addressed this concern by performing a multiple human subject reading process whose reliability was confirmed by a Krippendorf’s alpha coefficient value >0.80. Originality/value To the best knowledge, this is the first study to map, systematize and discuss the literature concerned to the topic of the knowledge management-leadership relationship.

This exploratory study investigates the relationship of plan-driven Stage-Gate and flexible Agile models with new product development performance through an original conceptualization that focuses on their underlying principles for managing uncertainty and the resulting changes. While Stage-Gate attempts to control uncertainty up-front to avoid later changes, Agile seeks to adapt to uncertainty and accommodate changes for a longer proportion of the development process. In addition, we examine the interaction effects of combining the two models. The analysis of survey data on 181 software developers shows that the adoption of Stage-Gate principles is negatively associated with speed and cost performance. For Agile, the use of sprints is positively related to new product quality, on-time and on-budget completion, while early and frequent user feedback would seem to prolong time-to-market. Finally, the results highlight a nuanced interaction between Stage-Gate and Agile, both positive and negative depending on the principles considered.

Due to increased competitive pressure, modern organizations tend to rely on knowledge and its exploitation to sustain a long-term advantage. This calls for a precise understanding of knowledge management (KM) processes and, specifically, how knowledge is created, shared/transferred, acquired, stored/retrieved, and applied throughout an organizational system. However, since the beginning of the new millennium, such KM processes have been deeply affected and molded by the advent of the fourth industrial revolution, also called Industry 4.0, which involves the interconnectedness of machines and their ability to learn and share data autonomously. For this reason, the present study investigates the intellectual structure and trends of KM in Industry 4.0. Bibliometric analysis and a systematic literature review are conducted on a total of 90 relevant articles. The results reveal 6 clusters of keywords, subsequently explored via a systematic literature review to identify potential stream of this emergent field and future research avenues capable of producing meaningful advances in managerial knowledge of Industry 4.0 and its consequences.

PurposeThis article aims to provide a bibliometric and systematic literature analysis of studies published in the Journal of Intellectual Capital (JIC) from 2014 to 2018 in order to highlight emerging themes and future trends.Design/methodology/approachThe analysis focused on 187 papers published on JIC over a period of five years. A scientometric approach to data mining enabled the detection of patterns in the dataset. Precisely, the investigation was conducted by integrating a bibliometric analysis on VOSviewer with a systematic literature review.FindingsFour main streams of research on JIC emerged in the years of the analysis: reporting and disclosure of intellectual capital; intellectual capital research in universities, education and public sector; knowledge management; intellectual capital, financial performance, and market value.Research limitations/implicationsThe study offers valid insights to the topics covered by the Journal of Intellectual Capital by identifying the main research gaps and trends, along with future research avenues.Originality/valuePrior scholars mostly focused on systematic literature reviews, whilst the use of bibliometric methods generally seems to be a missing tile in the research domain. Also, none of the extant studies has focused on the Journal of Intellectual Capital with reference to the 2014–2018 period. The use of both bibliometric and systematic approaches to literature review delivered extremely fine-tuned results in terms of factors such as citations, contents and evolution of clusters over time.

Purpose -The purpose of this study is to map the intellectual structure of the field of conflict management and the field of family business to the investigation of conflicts in family firms, with the aim of contributing to the further integration of knowledge between the two fields.Design/methodology/approach -Family conflicts and work-family balance issues also received a lot of attention, yet studies in conflict management still seem to overlook a thorough investigation of conflict in family businesses. Conflict is a major aspect of family businesses, which differs highly from non-family businesses, and offers an important research avenue for conflict management scholars to contribute to the investigation of major characteristics of organisations that constitute a large part of the value created in the world.Findings -The results of a bibliometric analysis and systematic literature review show that studies concerning conflict in family business aggregate around three clusters: organisational conflicts; firm growth and conflicts; and family control, performance and conflicts. An interpretative framework is also developed to interpret how antecedents, conflicts and growth dynamics in family business influence performances. Findings show how family conflicts and work-family balance issues received a lot of attention, yet studies in conflict management still seem to miss a thorough investigation of conflict in family businesses.Originality/value -This paper contributes to the field of conflict management and family business by providing a systematic analysis of knowledge and family firms. This paper can be a starting point for researchers interested in understanding how conflicts affect family businesses.