|
on Economics of Strategic Management |
|
Issue of 2024‒10‒14
seven papers chosen by João José de Matos Ferreira, Universidade da Beira Interior |
| By: | Moleka, Pitshou Basikabio |
| Abstract: | In an era of rapid technological advancements, complex global challenges, and intense market competition, the ability to generate and scale innovative solutions has become a critical imperative for organizations, policymakers, and societies worldwide. However, the existing academic landscape has lacked a cohesive, multidisciplinary framework for comprehensively understanding the multifaceted nature of innovation. Innovationology, a newly established scientific discipline, aims to address this gap by providing a unifying, transdisciplinary approach to the study and practice of transformative innovation. This comprehensive article introduces Innovationology as a cutting-edge science that integrates insights from diverse fields, including management, psychology, sociology, economics, and technology studies. Innovationology posits that innovation is a multilayered, context-dependent phenomenon, shaped by the intricate interplay of individual, team, organizational, and ecosystem-level factors. By synthesizing the latest theoretical advancements and empirical evidence, this article presents a holistic model of Innovationology that illuminates the key determinants of radical, game-changing innovations capable of disrupting existing industries and creating new market spaces. The article delves deep into the individual cognitive, behavioral, and motivational drivers of innovativeness, the team dynamics and organizational structures that foster collaborative innovation, and the ecosystem-level characteristics that catalyze the emergence and scaling of transformative innovations. Importantly, the article explores the crucial role of contextual factors, such as socio-cultural norms, institutional support, and resource availability, in shaping innovation outcomes. This article also establishes the epistemological foundations of Innovationology, grounding it in a transdisciplinary, holistic, and pragmatic approach to knowledge generation. Innovationology embraces a pluralistic epistemology that acknowledges the complexity and context-dependence of innovation, drawing on diverse methodological approaches to capture the multifaceted nature of this phenomenon. Furthermore, the article outlines the object of Innovationology, which is to provide a comprehensive, evidence-based understanding of the drivers, processes, and outcomes of transformative innovation. Innovationology seeks to elucidate the multilevel determinants of innovation, the dynamic interplay between various factors, and the contextual influences that shape innovation trajectories. By establishing a unifying, transdisciplinary framework, Innovationology aims to bridge the gap between innovation theory and practice, empowering a wide range of stakeholders to unlock the transformative potential of innovation. Importantly, this article outlines the practical applications of Innovationology, providing comprehensive strategies and evidence-based interventions for cultivating innovative mindsets, designing innovation-conducive organizational systems, and navigating the challenges of innovative ecosystems. The implications of Innovationology for entrepreneurs, corporate leaders, policymakers, and innovation scholars are discussed in detail. By establishing Innovationology as a distinct, authoritative scientific discipline, this article sets the foundation for a more holistic, context-sensitive understanding of innovation and its multifaceted drivers. The insights generated by this new science can empower global organizations, institutions, and policymakers to address the complex, interconnected challenges of the 21st century through the strategic deployment of transformative innovations. |
| Date: | 2024–09–10 |
| URL: | https://d.repec.org/n?u=RePEc:osf:osfxxx:f3scj |
| By: | Francesco D'Alessandro (Dipartimento di Politica Economica, DISCE, Università Cattolica del Sacro Cuore, Milano, Italy); Enrico Santarelli (, Department of Economics, University of Bologna, Italy - Global Labor Organization (GLO), Essen, Germany); Marco Vivarelli (Dipartimento di Politica Economica, DISCE, Università Cattolica del Sacro Cuore, Milano, Italy – UNU-MERIT, Maastricht, The Netherlands – IZA, Bonn, Germany) |
| Abstract: | In this paper we integrate the insights of the Knowledge Spillover Theory of Entrepreneurship and Innovation (KSTE+I) with Schumpeter's idea that innovative entrepreneurs creatively apply available local knowledge, possibly mediated by Marshallian, Jacobian and Porter spillovers. In more detail, in this study we assess the degree of pervasiveness and the level of opportunities brought about by AI technologies by testing the possible correlation between the regional AI knowledge stock and the number of new innovative ventures (that is startups patenting in any technological field in the year of their foundation). Empirically, by focusing on 287 Nuts-2 European regions, we test whether the local AI stock of knowledge exerts an enabling role in fostering innovative entry within AI-related local industries (AI technologies as focused enablers) and within non AI-related local industries, as well (AI technologies as generalised enablers). Results from Negative Binomial fixed-effect and Poisson fixed-effect regressions (controlled for a variety of concurrent drivers of entrepreneurship) reveal that the local AI knowledge stock does promote the spread of innovative startups, so supporting both the KSTE+I approach and the enabling role of AI technologies; however, this relationship is confirmed only with regard to the sole high-tech/AI-related industries. |
| Keywords: | KSTE+I, Artificial Intelligence, innovative entry, enabling technologies |
| JEL: | O33 L26 |
| Date: | 2024–09 |
| URL: | https://d.repec.org/n?u=RePEc:ctc:serie5:dipe0039 |
| By: | Sabien Dobbelaere (Vrije Universiteit Amsterdam); Michael D. König (Vrije Universiteit Amsterdam); Andrin Spescha (ETH Zurich); Martin Wörter (ETH Zurich) |
| Abstract: | The fraction of R&D active firms decreased in Switzerland but increased in the Netherlands from 2000-2016. This paper examines reasons for this divergence and its impact on productivity growth. Our micro-data reveal R&D concentration among high-productivity firms in Switzerland. Innovation support sustains firms’ R&D activities in both countries. Our structural growth model identifies the impact of innovation, imitation and R&D costs on firms’ R&D decisions. R&D costs gained importance in Switzerland but not in the Netherlands, explaining the diverging R&D trends. Yet, counterfactual analyses show that policies should prioritize enhancing innovation and imitation success over cost reduction to boost productivity growth. |
| Keywords: | R&D, innovation, imitation, R&D costs, policy, productivity growth, traveling wave. |
| Date: | 2023–12–22 |
| URL: | https://d.repec.org/n?u=RePEc:tin:wpaper:20230080 |
| By: | Julien Gosse |
| Abstract: | This thesis investigates the strategic digital transformation of organizations in the broader context of sustainability imperatives. Concretely, it focuses on the following questions: How are digital technologies such as platforms, artificial intelligence, and Internet of Things adopted today? What are the managerial complements needed to derive sustainable value from such technologies, and how are those adopted themselves? Finally, how do digital transformation and sustainability intersect with each other and how can organizations strategically integrate both? Relying on quantitative and qualitative data, this thesis brings empirical and theoretical contributions to both practice and research. Regarding the empirical findings, it documents the adoption of digital technologies and managerial practices, identifying the determinants of their profusion and highlighting, for example, the role played by firms’ size. Furthermore, it shows heterogeneity in the joint presence of digital technologies and specific managerial practices, notably those related to environmental innovation. Building upon these empirical findings and conceptual efforts, this thesis also presents theoretical propositions on the interlinkage between digital transformation, corporate strategy and sustainability. Concretely, it advances organizational and managerial complements needed to derive value from digital technologies today and also suggests an heterogeneous role of such technologies in sustainability transformation. |
| Keywords: | Strategic Management; Digital transformation; Digitalization; Sustainability; Environmental Management |
| Date: | 2024–09–18 |
| URL: | https://d.repec.org/n?u=RePEc:ulb:ulbeco:2013/376968 |
| By: | Gherbi Laid (Echahid Hamma Lakhdar University) |
| Abstract: | This study aims to shed light on the role of business incubators in supporting entrepreneurship and entrepreneurship development in the university environment, as incubators are considered one of the most important support and accompaniment mechanisms that contribute to the development of entrepreneurial projects, The study adopted a case study approach through the preparation and development of a questionnaire, which was distributed, The study concluded that Algeria is striving to develop a diverse and integrated system to support, accompany and promote entrepreneurship in various aspects that affect it directly or indirectly, The business incubator at the University of the Valley is one of the most important of these mechanisms, as there is a positive impact of the business incubator's activity on entrepreneurship among students at the University of the Valley. |
| Keywords: | entrepreneurship, business incubator, support and accompaniment mechanisms, University of the Valley. JEL Classification Codes: L26 L31 D2 O3, University of the Valley. JEL Classification Codes: L26, L31, D2, O3 |
| Date: | 2023–12–30 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-04680590 |
| By: | Mohamed Bendjiar (Blida2 University Lounici Ali); Cheboui Salim (TIPAZA UNIVERSITY CENTER DZA - Partenaires IRSTEA - IRSTEA - Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture); Gachi Khaled (TIPAZA UNIVERSITY CENTER DZA - Partenaires IRSTEA - IRSTEA - Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture) |
| Abstract: | The objective of this study is to analyze the effect of national export-promotion programs (NEPPs) on the export performance (EXP). This study used the resourcebased view (RBV) and the Institutional-based view (IBV) theory to provide a holistic understanding of the issue. we developed model include the NEPPs as an independent variable, EXP as dependent variable, and the Marketing planning capabilities (MPC) as an intermediary variable. the study tests the direct and the indirect effect for the model variables Using a partial least-squares equation model (PLS SEM) method to analyze 47 samples collected from 2022 randomly by accessing Algerian's export managers in the Algerian's food industry companies. The results confirm and show the significant direct and indirect effects of Financial aid-related national export promotion program on the export performance, and the indirect effect of Information-related national export promotion program on the export performance through the Marketing planning capabilities. |
| Keywords: | National export promotion program (NEPPs) Export performance (EXP) Marketing JEL Classification Codes: M160 F23 L250, National export promotion program (NEPPs), Export performance (EXP), Marketing JEL Classification Codes: M160, F23, L250 |
| Date: | 2023–12–30 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-04684565 |
| By: | Nasser Bouchareb (UFAS1 - Université Ferhat-Abbas Sétif 1 [Sétif]) |
| Abstract: | This paper investigates how Artificial Intelligence (AI) can improve Hotel PropertyManagement Systems (PMS) in the hospitality industry. It traces the evolution of PMS from manual to modern AI-infused counterparts, demonstrating how AI improves effectiveness and guest satisfaction. AI-driven PMS significantly improve efficiency in operations, making hotels more competitive in a dynamic landscape, by focusing on dynamic pricing strategies, real-time brand monitoring, and streamlined customer experiences. The paper highlights the practical significance of AI in the hospitality industry, promoting to a better understanding of technology's role in providing customized services and operational excellence, ultimately improving the quality of travel experiences. |
| Keywords: | Artificial Intelligence (AI) Channel manager Hospitality industry Property Management Systems (PMS) Revenue Management JEL Classification Codes: C88 L83 O32, Artificial Intelligence (AI), Channel manager, Hospitality industry, Property Management Systems (PMS), Revenue Management JEL Classification Codes: C88, L83, O32 |
| Date: | 2023–12–30 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-04680595 |