Innovation, Internationalization and Entrepreneurship

Over the past years, businesses have had to tackle the issues caused by numerous forces from political, technological and societal environment. The changes in the global market and increasing uncertainty require us to focus on disruptive innovations and to investigate this phenomenon from different perspectives. The benefits of innovations are related to lower costs, improved efficiency, reduced risk, and better response to the customers’ needs due to new products, services or processes. On the other hand, new business models expose various risks, such as cyber risks, operational risks, regulatory risks, and others. Therefore, we believe that the entrepreneurial behavior and global mindset of decision-makers significantly contribute to the development of innovations, which benefit by closing the prevailing gap between developed and developing countries. Thus, this Special Issue contributes to closing the research gap in the literature by providing a platform for a scientific debate on innovation, internationalization and entrepreneurship, which would facilitate improving the resilience of businesses to future disruptions

A critical approach to the evaluation of the quality of accounting research in the Spanish university system and its implications

Este trabajo analiza la conveniencia y consecuencias de los criterios de evaluación de la actividad investigadora en contabilidad establecidos por ANECA, concretándonos en los criterios para la acreditación de catedrático de universidad, así como el patrón y posibilidades de publicación de los académicos contables en España, Europa y a nivel mundial. Encontramos que los académicos del área contable tienen unas dificultades para publicar que son substancialmente superiores a las de los académicos de otras áreas de empresa. La mayor parte de los académicos afiliados a instituciones españolas que consiguen publicar en las principales revistas académicas contables recurren a co-autorías, principalmente estadounidenses y británicas, y a focalizar el contenido de sus trabajos en contextos y problemáticas no españolas. La normativa española de acreditación acentúa este comportamiento. Esta situación puede tener graves implicaciones para la supervivencia del área de conocimiento, el tratamiento de las temáticas y problemáticas específicamente ligadas al contexto español

Power and Influence of Economists

Economists occupy leading positions in many different sectors including central and private banks, multinational corporations, the state and the media, as well as serving as policy consultants on everything from health to the environment and security. Power and Influence of Economists explores the interconnected relationship between power, knowledge and influence which has led economics to be both a source and beneficiary of widespread power and influence. The contributors to this book explore the complex and diverse methods and channels that economists have used to exert and expand their influence from different disciplinary and national perspectives. Four different analytical views on the role of power and economics are taken: first, the role of economic expert discourses as power devices for the formation of influential expertise; second, the logics and modalities of governmentality that produce power/knowledge apparatuses between science and society; third, economists as involved in networks between academia, politics and the media; and forth, economics considered as a social field, including questions of legitimacy and unequal relations between economists based on the detention of various capitals. The volume includes case studies on a variety of national configurations of economics, such as the US, Germany, Italy, Switzerland, Greece, Mexico and Brazil, as well as international spaces and organisations such as the IMF. This book provides innovative research perspectives for students and scholars of heterodox economics, cultural political economy, sociology of professions, network studies, and the social studies of power, discourse and knowledge

Media or Information Literacy as variables for citizen participation in Public Decision-Making? A Bibliometric Overview

[EN] Internet has become a new way of communication leading the transformation of the use of conventional communication though digital platforms, bringing a new paradigm in human interaction (Saputra et al., 2020) but having Internet access does not mean that citizens are using Internet effectively and successfully, at least for participating in public decision-making. The disruption of information and technology development without creating a media and information literacy as part of the digital education, create a phenomenon that is worrying for the sustainability of society. In critical areas for society such as entrepreneurship, this phenomenon is critical and highly determining. This paper analyses the Media and Information literacy applied to citizen participation theoretical framework through a quantitative Bibliometric Overview of the most important studies in the field. The main objective is to present a general overview of the selected research areas, determining which of both areas is more explored from the point of view of how these literacies are used to reach citizen participation in public decisions, with a clear link to business decisions linked to entrepreneurship.Guerola-Navarro, V.; Stratu-Strelet, D.; Botella-Carrubi, D.; Gil Gómez, H. (2023). Media or Information Literacy as variables for citizen participation in Public Decision-Making? A Bibliometric Overview. Sustainable Technology and Entrepreneurship. 2(1):1-11. https://doi.org/10.1016/j.stae.2022.1000301112

Essays on cooperation and/or competition within R&D communities

This dissertation attempts to contribute to our understanding of how firms can manage and benefit from its research and development (R&D) communities. In the first essay, we examine how established firms can leverage a broad R&D community to invent successfully during the early stage of a technological change. We find significant inventions by incumbents outside the existing dominant designs and relate their success to their willingness to search novel areas, explore scientific knowledge in the public domain, and form alliances with a balanced portfolio of partners. We find support for the hypotheses using data from the global semiconductor industry between 1989 and 2002. In the second essay, we examine a classical choice within an R&D community: cooperation or competition with other firms along a technology supply chain. We find that the answer depends not just on the transaction costs, strength of intellectual property protection rights, and asset cospecialization in the buyers' industries, but also the supplier's knowledge transfer capability and a typical buyer's productivity in developing licensed inventions. For instance, the effect of asset cospecialization on licensing is moderated by the factors that affect the buyers' productivity in developing external technology. Additionally, factors that reduce the buyers' development productivity can be mitigated by the supplier's knowledge transfer capability. We find empirical supports for these predictions using a cross-industry panel dataset of a sample of 345 U.S. small technology-based firms for the 1996-2007 period. In the third essay, I develop two game theoretical models to address how research competition from academic researchers affects firms' openness in disclosing intermediate R&D outcomes. Both models predict that such competition increases the firm's incentive to publish research findings, even though the firm would not have had such an incentive without the presence of the competition. The models also suggest several conditions under which the effect takes place. I further discuss the implications of ownership fragmentation for research materials within the scientific community and academic researchers' engagement in entrepreneurial activities. As implied by my models, these phenomena might instigate withholding of research findings by firms.Ph.D.Committee Chair: Thursby, Marie; Committee Member: Ceccagnoli, Marco; Committee Member: Forman, Chris; Committee Member: Tan, Justin; Committee Member: Thursby, Jerr

Data Science: A Study from the Scientometric, Curricular, and Altmetric Perspectives

This research explores the emerging field of data science from the scientometric, curricular, and altmetric perspectives and addresses the following six research questions: 1. What are the scientometric features of the data science field? 2. What are the contributing fields to the establishment of data science? 3. What are the major research areas of the data science discipline? 4. What are the salient topics taught in the data science curriculum? 5. What topics appear in the Twitter-sphere regarding data science? 6. What can be learned about data science from the scientometric, curricular, and altmetric analyses of the data collected? Using bibliometric data from the Scopus database for 1983 – 2021, the current study addresses the first three research questions. The fourth research question is answered with curricular data collected from U.S. educational institutions that offer data science programs. Altmetric data was gathered from Twitter for over 20 days to answer the fifth research question. All three sets of data are analyzed quantitatively and qualitatively. The scientometric portion of this study revealed a growing field, expanding beyond the borders of the United States and the United Kingdom into a more global undertaking. Computer Science and Statistics are foundational contributing fields with a host of additional fields contributing data sets for new data scientists to act, including, for example, the Biomedical and Information Science fields. When it comes to the question of salient topics across all three aspects of this research, it was revealed that a large degree of coherence between the three resulted in highlighting thirteen core topics of data science. However, it can be noted that Artificial Intelligence stood out among all the other groups with leading topics such as Machine Learning, Neural Networks, and Natural Language Processing. The findings of this study not only identify the major parameters of the data science field (e.g., leading researchers, the composition of the discipline) but also reveal its underlying intellectual structure and research fronts. They can help researchers to ascertain emerging topics and research fronts in the field. Educational programs in data science can learn from this study about how to update their curriculums and better prepare students for the rapidly growing field. Practitioners and other stakeholders of data science can also benefit from the present research to stay tuned and current in the field. Furthermore, the triple-pronged approach of this research provides a panoramic view of the data science field that no prior study has ever examined and will have a lasting impact on related investigations of an emerging discipline