To date, the phenomenon of entrepreneurship has lacked a conceptual framework. In this note we draw upon previous research conducted in the different social science disciplines and applied fields of business to create a conceptual framework for the field. With this framework we explain a set of empirical phenomena and predict a set of outcomes not explained or predicted by conceptual frameworks already in existence in other fields.

The Promise of Entrepreneurship as a Field of Research

计量经济分析 = Econometric analysis

This survey reviews the growing use of patent data in economic analysis. After describing some of the main characteristics of patents and patent data, it focuses on the use of patents as an indicator of technological change. Cross-sectional and time-series studies of the relationship of patents to R&D expenditures are reviewed, as well as scattered estimates of the distribution of patent values and the value of patent rights, the latter being based on recent analyses of European patent renewal data. Time-series trends of patents granted in the U.S. are examined and their decline in the 1970s is found to be an artifact of the budget stringencies at the Patent Office. The longer run downward trend in patents per R&D dollar is interpreted not as an indication of diminishing returns but rather as a reflection of the changing meaning of such data over time. The conclusion is reached that, in spite of many difficulties and reservations, patent data remain a unique resource for the study of technical change.

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Patent Statistics as Economic Indicators: A Survey

To assess the effects of a firm's network of relations on innovation, this paper elaborates a theoretical framework that relates three aspects of a firm's ego network—direct ties, indirect ties, an...

/pdf/collaboration-networks-structural-holes-and-innovation-a-43oz2jtxxk.pdf

Collaboration Networks, Structural Holes, and Innovation: A Longitudinal Study:

Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

Lifetime model of achievement in academia: Reflections on Bruce A. Kirchhoff's legacy

Adolescent entrepreneurial learning ecosystem and a tech entrepreneurial career—inspiration from theblack swan stories

While ecosystem theories and concepts have a relatively long history with both entrepreneurial ecosystems (Acs et al., 2017) and digital ecosystems (Li et al., 2012; Weill & Woerner, 2015), the digital entrepreneurship ecosystem and a platform-based economy concepts have emerged only recently (Elia et al., 2020; Nambisan, 2017; Sahut et al., 2019). Moreover, measurements are lagging behind conceptual developments. Some argue that all ecosystems are exclusive, as each has its unique component structure, strengths, and weaknesses. Consequently, case studies are more appropriate than simple or composite indicators to describe the ecosystem phenomenon (Isenberg, 2010; Spigel, 2017). While we agree that the specifics of each ecosystem can be viewed up close, when looking from a certain distance, one can recognize the common structures and features (Szerb et al., 2019). Accurate measurements are vital for three reasons. First, solid policy recommendations should be based on appropriate measures. Second, one can recognize the relative development of a particular unit by comparing it to other units’ rankings and index scores. And third, an ecosystem’s strengths and weaknesses can be identified from a benchmarking perspective. 

From Concept to Measurement: The 12 Pillars and their Measurement

Small business economics journal editor of the year award

https://muse.jhu.edu/journals/sais_review/v004/4.2.acs.pdf

Zoltan J. Acs

Papers

Lifetime model of achievement in academia: Reflections on Bruce A. Kirchhoff's legacy

Adolescent entrepreneurial learning ecosystem and a tech entrepreneurial career—inspiration from theblack swan stories

From Concept to Measurement: The 12 Pillars and their Measurement

Small business economics journal editor of the year award

Managing the Decline of the Corporate Sector