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Despite the existence of a vast body of research on entrepreneurship, little is known about why some entrepreneurs are able to generate and realize more business ideas than others. This study aims to present a prospective answer to this question by empirically examining the relationships among human capital outcomes (entrepreneurial knowledge and skills) and the number of business ideas generated and implemented. Additionally, the authors examined the moderating effect of the entrepreneurial self-efficacy on the proposed relationships.

A statistical analysis on a sample of 340 Russian entrepreneurs was conducted.

The results from the analysis indicated that human capital outcomes (entrepreneurial knowledge and skills) are positively related to the number of generated and implemented ideas. Furthermore, it was seen that entrepreneurial self-efficacy significantly moderates the relationship between human capital outcomes and the number of implemented ideas. However, self-efficacy has no significant moderating effect on the relationships among human capital outcomes and the number of generated ideas. Finally, the results showed that the number of ideas generated mediates the relationships among human capital outcomes and the number of ideas implemented.

To the best of the authors’ knowledge, no previous study has investigated the combination of such variables as entrepreneurial human capital outcomes, entrepreneurial self-efficacy and the number of new business ideas. This paper investigates this gap in the literature with an empirical analysis of the relations between the mentioned variables based on data collected from Russian entrepreneurs.

Following the contextual approach to intellectual capital, this study analyzed the specific types of external relational capital that foster product/service, process and managerial innovativeness in organic farming as key drivers of sustainable food production.

Survey data from 358 organically certified Spanish farmers were analyzed using structural equation modeling based on partial least squares. A total of three models, one for each type of innovativeness, were developed to analyze the impact of external relational capital. These models took into account four specific types of relational capital: vertical relationships, horizontal relationships, relationships with government institutions and relationships with knowledge-intensive institutions.

Although relational capital and innovativeness are clearly underdeveloped, knowledge generated through and embedded in external relationships plays a substantial role in promoting innovativeness in organic farming. Moreover, depending on the type of innovation to be developed, the type of external relational capital that is relevant differs.

This study's findings indicate that organic farmers prioritize process innovation over product/service and managerial innovation. For the latter categories, building relationships with customers, consumers and government institutions is key. Policymakers should encourage farmer-engaging socialization spaces that emphasize family farms and their knowledge contribution.

Past studies have examined the overall degree of association between external relational capital and innovation, often overlooking the nuances of contextual factors. In contrast, this research delves into the unique contributions of knowledge sourced from various external relationships, focusing specifically on how these relationships influence different types of innovation within the specific context of organic farming.

The purpose of this study is to offer implications and future research directions related to new organizational forms like crowds. Organizations are increasingly relying on online crowds to innovate through mechanisms such as crowdsourcing, open innovation, innovation challenges and tournaments. To leverage the "wisdom of crowds", crowdsourcing platforms that enable heterogeneous knowledge sharing in crowds lead to novel solution generation by individuals in the crowd. Based on the associative variety memory model of creativity, the authors hypothesize that when a crowd contributes a heterogeneous knowledge in form of a variety of knowledge associations, individual crowd members tend to generate solutions that are more novel. In contrast to the brainstorming view that focuses on ideas as knowledge, the authors propose, test, find and elaborate on implications of crowd sharing of heterogeneous knowledge for the generation of innovation, i.e. novel ideas. The authors coded and analyzed all the posts in 20 innovation challenges leveraging online temporary crowds that were structured to foster knowledge sharing as part of the idea generation process. The analysis shows a positive relationship between the variety of knowledge associations contributed by the crowd and the generation of novel solutions by individuals in the crowd. Further, the variety of knowledge associations contributed by the crowd has a stronger relationship with novel solution generation than the number of associations generated by the crowd, i.e. variety of knowledge has a greater impact than either the quantity of knowledge or the number of solution-ideas shared. The authors offer four implications and several future directions for research on the new organizational form of online crowds.

The authors coded and analyzed all the posts in 20 innovation challenges. They also designed and ran these challenges in collaboration with corporate sponsors. The ideas in the challenge were rated by senior executive at each company using a creative forecasting method.

The variety of knowledge associations contributed by the crowd has a stronger relationship with novel solution generation than the number of associations generated by the crowd, i.e. variety of knowledge has a greater impact than either the quantity of knowledge or the number of solution-ideas shared.

The authors offer four implications and several future directions for research on the new organizational form of online crowds.

The authors propose several ways in which companies running innovation challenges can moderate and encourage crowd to generate a variety of knowledge.

The authors believe that we are the first empirical paper to emphasize and show that associative variety of knowledge sharing in crowds has impact on novel idea generation by crowds. This view is counter to "electronic brainstorming" view where crowd is asked to just generate these ideas and often just submit their ideas to the sponsor. Their view also goes beyond knowledge refinement of ideas by crowds to more of knowledge integration by crowds.

The purpose of this paper is to explore the relationship between big data and knowledge management (KM).

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.

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.

The focus of the study was on oil and gas sector, and, thus, the research results may lack generalizability.

This paper fulfills an identified need of exploring the relationship between big data and KM which has not been discussed much in the literature.

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.

Purpose – First, to look closely and critically at Hayek's treatment of science in The Sensory Order. This provides hints as to the difficulties in maintaining a theory of scientific knowledge as a selective sum of the identifiable contributions of individual scientists. Second, to generalize from Hayek's theory of how the brain generates an individual's knowledge to a theory of how science generates scientific knowledge, knowledge that is not a simple sum of individual contributions. Third, to apply this picture of science to understanding developments in postpositivist philosophy and post-Mertonian sociology of science.

Approach – We provide a short survey of the conventional understanding of science and scientific knowledge, including that of Hayek in The Sensory Order. We examine in more depth the ways in which developments in postpositivist philosophy and sociology have transformed our understanding of science. We describe how, by analogy with Hayek's theory of the brain, science can be seen as an adaptive system that adjusts to its environment by classifying the phenomena in that environment to which it is sensitive, and we apply this systemic picture of science with a view to integrating much of the more moderate content of recent philosophy and sociology of science.

The purpose of this paper is to show how science-industry R&D cooperation (SIRC) generates effects on the strategy developed by firms to appropriate the benefits of innovations. Given the plurality of cooperation patterns between firms and public R&D institutions and the variety of appropriation mechanisms used by firms to protect generated knowledge or to strengthen their market position, this paper investigates to what extent different forms of cooperation are associated with different effects on appropriation strategy.

As evidence of this, the authors carry out a multiple case study, covering nine biopharmaceutical Argentine firms whose innovation projects are developed in cooperation with public R&D institutions. Using critical dimensions identified by public-private R&D cooperation literature, the paper analyzes the characteristics of cooperation in the cases studied, looking for different patterns. Given the existence of various appropriation mechanisms identified by appropriability literature, the paper analyzes how firms use (or not) those mechanisms within the specific context of jointly generated innovation.

The paper shows that SIRC generates opposing effects on the various appropriation mechanisms used by firms, both challenging and strengthening them. Likewise, the identification of three cooperation patterns in Argentine biopharmaceutical sector, namely, contract R&D, internalization and coordination, allows appreciating how each pattern affects differently the appropriation mechanisms used by firms, being the coordination one, the most functional to the appropriation strategy of firms analyzed.

The arguments presented here are necessarily limited to the biopharmaceutical Argentine sector, which is strategic to the country, for accumulated capabilities in scientific and business aspects. The analysis could be enriched by extending it to other industries with similar innovation characteristics and to other countries, where patents have a similar weight (emerging countries) or a different one (developed countries).

Innovation and public-private collaboration policies may benefit from the analysis presented here, which helps to assess advantages and challenges of different SIRC logics on firms’ appropriation issues and to considerate which aspects allow cooperation and appropriation combining in a more virtuous form.

There is no paper that explicitly examines the effects generated by different SIRC patterns on the appropriation strategy of firms, conceived as a combination of different mechanisms which may include patents but is not limited to them.

This paper aims to demonstrate how the integration of netnography and business analytics can support companies in the process of value creation from social big data by leveraging on customer relationship management and customer knowledge management (CKM).

This paper adopts the methodology of a single case study by using desk analysis, netnography and business analytics. The context of analysis has been identified into the case of Aurora Company, a well-known producer of fountain pens.

The case demonstrates how the integration of big data analytics and netnography is relevant for the development of a customer relationship management strategy. The results obtained have been categorized according to the three main categories of customer knowledge, such as knowledge for, from and about customer.

This paper presents implications for the advancement of the theory on CKM by demonstrating, as the acquisition, storage and management of data generated by customers on social media require the adoption of a cross-disciplinary approach resulting from the integration of qualitative and quantitative approaches. The framework is structured as methodological tool to detect knowledge in virtual community.

Practical implications arise for managers and entrepreneurs in terms of value creation from knowledge assets generated on social big data through the management of the customers’ relationship and data-driven innovation patterns.

This paper offers an original contribution of integration of well-established research streams. The focus on the knowledge under the perspectives of information assets for, from and about customers in the debate on value creation and management of big data is an element of value offered by this study in addition to the comprehension of strategies of social customer relationship management as actual initiative embraced by a company in the leveraging of innovation and tradition.

The prevailing theories of entrepreneurship have typically revolved around the ability of individuals to recognize opportunities and act on them by starting new ventures. This has generated a literature asking why entrepreneurial behavior varies across individuals with different characteristics, while implicitly holding the external context in which the individual finds oneself to be constant. Thus, where the opportunities come from, or the source of entrepreneurial opportunities, are also implicitly taken as given. By contrast, we provide a theory identifying at least one source of entrepreneurial opportunity – new knowledge and ideas that are not fully commercialized by the organization actually investing in the creation of that knowledge. The knowledge spillover theory of entrepreneurship holds individual characteristics as given, but lets the context vary. In particular, high knowledge contexts are found to generate more entrepreneurial opportunities, where the entrepreneur serves as a conduit for knowledge spillovers. By contrast, impoverished knowledge contexts are found to generate fewer entrepreneurial opportunities. By serving as a conduit for knowledge spillovers, entrepreneurship is the missing link between investments in new knowledge and economic growth. Thus, the knowledge spillover theory of entrepreneurship provides not just an explanation of why entrepreneurship has become more prevalent as the factor of knowledge has emerged as a crucial source for comparative advantage, but also why entrepreneurship plays a vital role in generating economic growth. Entrepreneurship is an important mechanism permeating the knowledge filter to facilitate the spillover of knowledge, and ultimately generating economic growth.

Empresa Brasileira de Pesquisa Agropecuária (Embrapa, the Brazilian Agricultural Research Corporation), owned by the Brazilian Government, is one of the most efficient agencies for promoting sustainable tropical agriculture in the world. However, although information is available, farmers do not always put the technologies and knowledge into practice. There is a large difference between the average productivity of farmers and crop or herd potential. Thus, this paper aims to describe and analyze the process of technology transfer of the Embrapa Agrobiology Unit.

The study reviewed the classical and diffusionist models of technology transfer (TT) in Brazilian agriculture and the role of the government in innovation. This was based on documentary research and structured interviews with four employees, supported by a structured roadmap composed of four categories for analysis: the role of TT; the organizational structure of the area; the TT strategies; and the ways of delivery, methods and tools of TT. By a qualitative approach, the results were treated through content analysis.

The results indicated that the area of TT at Embrapa went through a recent restructuring, which included the interchange and collective construction of knowledge (ICC) in its TT process, to turn entrepreneurship into reality. The company is dedicated to bringing knowledge to the most important people: farmers. This has been done through a participatory TT model, which has involved multiplier agents from the research stage to the transfer stage.

Some limitations were found, among them, the fact that only internal members of Embrapa were interviewed, limiting the view of the TTICC staff and without knowing the multiplier agents’ opinion and other actors involved in the process. In addition, it is a qualitative research that is subject to the interpretation of the researcher.

This study contributed to reflections about the TT process and how it can be used by different actors, along with the role of the State in innovation.

In addition to contributing to the development of products, processes and technologies for the economic, social and environmental development of Brazil, Embrapa has been outstanding in generating knowledge for the advancement of science. Its results have had impacts not only nationally but also worldwide. Embrapa has played a key role in Brazilian agriculture as well as in livestock, mainly, in supporting governmental projects and in the implementation of public policies.

The aim of this study was achieved, as there was a possibility of describing and analyzing the technology transfer process at Embrapa Agrobiology Unit, located in the city of Seropédica, Rio de Janeiro. It is concluded that Embrapa has been committed to involving the farmer in the process of interchange, collective construction of knowledge and technology transfer. The farmer has become the focus of this process, reducing the development of “shelf” researches and increasing the participation of the farmer or of the multiplier agent. The importance of studying and knowing the process of technology and knowledge transfer to the public of interest should be highlighted, and especially the reasons why this technology or knowledge are often not adopted by the public. It was possible to identify that Embrapa has noticed the difficulties of farmers and realized that the best way the best way of transforming technological solutions and knowledge into innovation is by involving the farmer in the process of construction and of transfer. Thus, the farmer gives greater credibility to the technology or generated knowledge because this is something that he himself helped build. In the sphere of contemporary institutional knowledge management, Embrapa has had as its main point of departure the demand and the needs of society. For this, it has created means to ensure the participation of different actors because they signal the construction of technological solutions and of innovation and they are the ones who know the real situation. However, this is a recent progress within Embrapa that has evolved and generated results. Thus, research, science and technology institutions must go beyond technology transfer and must ensure the involvement, participation and interaction of the public of interest to promote significant change, social, economic and environmental development and transformation. Embrapa observed this from the referential framework that included technology transfer, interchange and the collective construction of knowledge.