Organizational knowledge components dominate research on tacit knowledge. In order to overcome this dominance, we introduce Tacit Entrepreneurial Knowledge (TEK). TEK is conceptualized as one's experiential learning from past experiences and insights that result in tacit knowledge regarding entrepreneurship that is implicit, personal, and uncodified. For this study the situational judgment test (SJT) approach is adopted to overcome the common limitations in quantifying an individual's tacit knowledge. The SJT is a scenario-based measurement instrument that allows us to quantify an individual's TEK. The SJT is developed using three steps: first, scenarios were collected through interviews, followed by formulating responses to the scenarios, and finally, the effectiveness of the responses for each scenario was evaluated. The outcome of this research article is threefold; first, a comprehensive conceptualization of TEK, including delineation of its nomological network. Second, the development of a measurement instrument for TEK and subsequent scoring method. Finally, an antecedent-consequence model which includes potential contingencies associated with these relationships. In the debate on tacit knowledge, our measurement is innovative and relevant, as previous research failed to uncover an individual's tacit knowledge in the context of entrepreneurship, despite its importance in various entrepreneurial processes. This study aspires to ignite research into TEK by demonstrating important research opportunities unlocked by our conceptualization and subsequent measurement, offering future researchers a wide range of avenues to uncover the black box of tacit knowledge in entrepreneurship.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9211756 | PMC |
http://dx.doi.org/10.3389/fpsyg.2022.892223 | DOI Listing |
Ophthalmic Plast Reconstr Surg
December 2024
Department of Ophthalmology and Visual Sciences, The Medical College of Wisconsin, Milwaukee, Wisconsin, U.S.A.
Using the techniques of cognitive task analysis and process mining may allow an increased understanding of both the action and decision components of a surgical procedure. Prior research has demonstrated that these are not intuitive and seemingly small, insignificant elements may have a large impact on success. This increased understanding may allow a more effective transfer of skills by facilitating the transfer of explicit knowledge into tacit knowledge.
View Article and Find Full Text PDFEquitable health research requires actively engaging communities in producing new knowledge to advocate for their health needs. Community-based participatory research (CBPR) relies on the coproduction of contextual and grounded knowledge between researchers, programme implementers and community partners with the aim of catalysing action for change. Improving coproduction competencies can support research quality and validity.
View Article and Find Full Text PDFJMIR Hum Factors
November 2024
Division of Informatics Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine, and Health, The University of Manchester, Manchester, United Kingdom.
Background: Knowledge sharing is a crucial part of any knowledge management implementation. It refers to sharing skills and experience among team members in an organization. In a health care setting, sharing knowledge, whether tacit or explicit, is important and can lead to better health care services.
View Article and Find Full Text PDFAm Heart J
February 2025
Division of Pediatric Cardiology, Children's National Health System, Washington, DC. Electronic address:
Background: Research to reduce maternal morbidity due to cardiovascular disease is vitally important in the United States, especially for the growing number of individuals with congenital heart disease (CHD) reaching childbearing age. Understanding patient experiences through patient engagement is critical to designing research that is aligned with the needs of adults with CHD undergoing pregnancy.
Methods: This patient engagement project, grounded in human centered design, focuses on the discovering patient and healthcare provider priorities for reducing maternal morbidity in CHD through patient centered outcomes research (PCOR).
IEEE Trans Vis Comput Graph
November 2024
We offer a new model of the sensemaking process for data analysis and visualization. Whereas past sensemaking models have been grounded in positivist assumptions about the nature of knowledge, we reframe data sensemaking in critical, humanistic terms by approaching it through an interpretivist lens. Our three-phase process model uses the analogy of an iceberg, where data is the visible tip of underlying schemas.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!