Open Access
Empowering undergraduates through machine learning
(SAGE, 2022) Urtasun Alonso, Ainhoa; Gestión de Empresas; Enpresen Kudeaketa
This report describes a teaching experience with undergraduates to approach, in a simple and practical way, artificial intelligence (AI) and machine learning (ML) – generalpurpose technologies that are highly demanded in any industry today. The article shows how business undergraduates with no prior experience in coding can use AI and ML to solve business-related problems, particularly human resource management (HRM) problems. AI and ML are powerful technologies that can improve the analytical skills and employability of those who understand them.
Open Access
Network centrality and organizational aspirations: a behavioral interaction in the context of international strategic alliances
(Palgrave Macmillan UK, 2020-07-01) Shijaku, Elio; Larraza Kintana, Martín; Urtasun Alonso, Ainhoa; Gestión de Empresas; Enpresen Kudeaketa
Considerando que el análisis de redes sociales ha estado asociado con aspiraciones organizacionales, poco es conocido sobre cómo el posicionamiento estructural de la empresa y particularmente la centralidad de la red afecta las aspiraciones internacionales para participar de alianzas estratégicas internacionales (AEI). Este estudio examina el impacto de la centralidad de la red en el comportamiento de internacionalización de la empresa dentro del dominio de las alianzas estratégicas internacionales como respuesta a la brecha entre desempeño y aspiración. Desarrollamos las perspectivas sociales y comportamentales para predecir que la centralidad de la red y las aspiraciones basadas en desempeño serán asociadas con el número de alianzas estratégicas internacionales en que la empresa participa. Usando una muestra de 7.760 colaboraciones de alianza de las principales 81 empresas farmacéuticas global para el periodo 1991–2012, encontramos evidencia para apoyar la mayoría de nuestros argumentos.
Open Access
Effects of new technologies on work: the case of additive manufacturing
(SAGE Publications, 2022) Ben-Ner, Avner; Urtasun Alonso, Ainhoa; Taska, Bledi; Gestión de Empresas; Enpresen Kudeaketa; Institute for Advanced Research in Business and Economics - INARBE
The authors study the effects on work of additive manufacturing (AM), an emerging technology that may replace significant segments of traditional manufacturing (TM). Compared to TM, AM is more integrated and offers greater flexibility in design, materials, and customizability; thus, it should entail more demanding tasks and higher skill levels. The authors analyze vacancies for AM and TM workers, focusing on plants that posted vacancies in both technologies to control for factors that may affect the content of job postings. Findings show that AM jobs are more complex (with more non-routine analytic and less routine cognitive content) in comparison to TM jobs, and AM jobs require more high-level technical skills and more reasoning skills. The relative differences are larger for lower-skill workers (operators) than for high-skill workers (engineers). The authors conclude that AM is an upskilling technology that is skill biased in favor of low-skill workers and therefore reduces the skill gap.
Open Access
Are acquirers different? Identifying firm precursors to acquisitions
(Emerald, 2023) King, David; Shijaku, Elio; Urtasun Alonso, Ainhoa; Gestión de Empresas; Enpresen Kudeaketa; Institute for Advanced Research in Business and Economics - INARBE
Purpose: The authors propose and test a theoretical framework that develops and analyzes precursors to firm acquisitions to determine if acquirers differ from other firms. Design/methodology/approach: The authors use longitudinal, archival data from a sample of the largest firms in the global pharmaceutical industry from 1991 to 2012 with 1,327 firm-year observations. Findings: The authors integrate prior research to show that the firm characteristics involving (1) R&D investment, (2) prior experience and (3) network centrality influence the likelihood that a firm will complete an acquisition. Originality/value: In contrast to research focusing on the performance of acquiring firms, the authors show that firm characteristics predict acquisition activity by highlighting that acquiring firms differ from other firms. The authors also develop how network synergies can be realized by acquirers that have information advantages from more central network positions.

Urtasun Alonso, Ainhoa

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