
Michael GusenbauerJohannes Kepler University Linz | JKU · Institute of Innovation Management
Michael Gusenbauer
Doctor of Business Administration
About
15
Publications
29,254
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1,016
Citations
Citations since 2017
Introduction
Michael Gusenbauer is a PostDoc researcher at the Institute of Innovation Management at Johannes Kepler University Linz. His research interest is at the crossroads of innovation, strategy, and research methods (information retrieval, evidence synthesis/meta-analysis).
Email: michael.gusenbauer@jku.at
Publications
Publications (15)
Innovation offshoring (IO) has become a widespread management practice. Yet, evidence on the performance implications is inconsistent, and scattered across disciplines and contexts. We argue that the benefits firms can derive from IO depend on the institutional environment at home. Drawing on recent work on institutional theory in international bus...
Information on the size of academic search engines and bibliographic databases (ASEBDs) is often outdated or entirely unavailable. Hence, it is difficult to assess the scope of specific databases, such as Google Scholar. While scientometric studies have estimated ASEBD sizes before, the methods employed were able to compare only a few databases. Co...
Rigorous evidence identification is essential for systematic reviews and meta‐analyses (evidence syntheses), because the sample selection of relevant studies determines a review's outcome, validity, and explanatory power. Yet, the search systems allowing access to this evidence provide varying levels of precision, recall, and reproducibility and al...
The choice of optimal governance structure to control an exchange relationship is most critical for the success of organisations. Yet, scholars debate what constitutes optimal governance, and specifically how the core governance constructs of transaction-cost theory (TCT) – market, hierarchy and hybrid – relate to a broader notion of governance tha...
This paper introduces a novel scientometrics method and applies it to estimate the subject coverages of many of the popular English-focused bibliographic databases in academia. The method uses query results as a common denominator to compare a wide variety of search engines, repositories, digital libraries, and other bibliographic databases. The me...
Innovation literature increasingly considers the importance of the temporal dimension of knowledge search. In particular, several qualitative studies demonstrate how family firms successfully search for and recombine mature knowledge into innovations. This paper extends this line of research by quantitatively examining knowledge search in family ve...
Emotions influence human decisions under risk and uncertainty, even when they are unrelated to the decisions, i.e. incidental to them. Empirical findings are mixed regarding the directions and sizes of the effects of discrete emotions such as fear, anger, or happiness. According to the Appraisal-Tendency Framework (ATF), appraisals of certainty and...
Academic research has changed in recent years. It has entered the age of abundant scholarly information. New scientometric data shows impressive increases in both the quantity and quality of information researchers produce. Since 2007 about the same number of publications have become accessible on databases as more than the hundred years prior. At...
We researchers have taken searching for information for granted for far too long. The COVID‐19 pandemic shows us the boundaries of academic searching capabilities, both in terms of our know‐how and of the systems we have. With hundreds of studies published daily on COVID‐19, for example, we struggle to find, stay up‐to‐date, and synthesize informat...
Offshoring has evolved into a widespread management practice affecting the competitiveness of firms, the welfare of nations and the job situation of individuals. Its transformative and disruptive nature means offshoring is debated by academic researchers, the public and policy makers; yet offshoring is understood very differently by different parti...
In synthesis research–such as systematic literature reviews or meta-analyses–rigour in the data selec-tion process is essential as the selected sample determines a study’s outcome, validity, and explanatory power. Hence, research needs to dedicate particular attention to how the sample of relevant studies is identified and retrieved. This is especi...
Information on the size of academic search engines and bibliographic databases (ASEBDs) is often outdated or entirely unavailable. Hence, it is difficult to assess the scope of specific databases, such as Google Scholar. While scientometric studies have estimated ASEBD sizes before, the methods employed were able to compare only a few databases. Co...
Research on innovation offshoring (IO) has increased substantially over the last decade. IO is (still) widely regarded as the domain of multinational enterprises. Even though more and more researchers are claiming that small and medium-sized enterprises (SMEs) also practise IO, so far, the particularities of SMEs have been widely neglected. This is...
Projects
Projects (2)
Requirements Systematic Searches
Typologies of Online Search
Meaning-based Construct Definition
Macro level:
- Construct definition, Evidence-synthesis
- Case study research