Persona:
Rodrigo Moya, Beatriz

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0000-0003-1619-5714
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Rodrigo Moya
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Beatriz
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2020 - 20224
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Fecha de finalización: 2022 × Fecha de inicio: 2020 ×

Resultados de la búsqueda

Mostrando 1 - 4 de 4
  • Miniatura
    Publicación
    The rising importance of the "Smart territory" concept: definition and implications
    (Elsevier, 2020-12-01) Gerli, Paolo; Navío Marco, Julio; Rodrigo Moya, Beatriz
    The “Smart territory” concept emerges strongly not only as an extension of the smart city concept but also in opposition to it. The “smartization” of cities can produce a digital gap in the territories, particularly in rural areas that do not have the services and capabilities that citizens in urban areas enjoy. This is the first study fully focusing on the concept of ‘smart territory’, its relevance and the reasons for its emergence. It is also a wake-up call about the benefits of its momentum in the field of digital public policies, particularly in Europe. The beginning of the EU programming period 2021–2027 represents a good opportunity to include clear initiatives for smartization in the Territorial Cohesion Policies, expanding their wider scope and operationalization to different geographical areas.
  • Miniatura
    Publicación
    Are retailers leveraging in-store analytics? An exploratory study
    (Emerald, 2022-05-03) Lorente Martínez, Javier; Navío Marco, Julio; Rodrigo Moya, Beatriz
    Purpose The purpose of this study is to analyse the level of adoption of in-store analytics by brick-and-mortar retailers. Web analytics technology has been widely adopted by online retailers, and the technology to gather similar information in physical stores is already available. This study explores how such technology is valued and adopted by retailers. Design/methodology/approach This study is based on interviews and a focus group of 21 retail executives using a semi-structured interview methodology. An in-store analytics service was defined, along with specific key performance indicators (KPIs) and use cases to structure respondents' feedback. Findings Although noteworthy differences have been found in the value of KPIs and use cases by type of business, the main finding is that none of the respondents reached the stage of a brick-and-mortar data-driven company. In-store analytics services are in the early stages of Rogers' (1983) model of diffusion of innovations. Three main reasons are presented: lack of technology knowledge, budget priority and a data culture inside the companies. Practical implications The results should encourage scholars to further investigate the drivers accelerating the adoption of these technologies. Practitioners and solution providers should strive for improvement in the simplicity of their solutions. Originality/value This study is the first to analyse the level of adoption of in-store analytics from the perspective of retailers.
  • Miniatura
    Publicación
    Analysis of the adoption of customer facing in-store technologies in retail SMEs
    (Elsevier, 2020-11) Lorente Martínez, Javier; Navío Marco, Julio; Rodrigo Moya, Beatriz
    Brick and mortar stores are suffering the dramatic revolution of the retail sector. Customer facing in-store technologies (CFIST) are a key component of the inevitable transformation of retail stores; yet the reasons to adopt such technologies by business owners may be little known. Based on a TOE and TAM inspired framework, this study analyses the drivers of such decision by small and medium size enterprises using a survey methodology. The results show that the attitude towards technology is the strongest predictor of the intention to adopt CFIST, highlighting the role of the top management in technology decisions. This conclusion has important implications for practitioners. This research is the first to address the adoption of CFIST by SMEs and therefore set the path for further studies about the impact and adoption of in-store technology in SMEs.
  • Miniatura
    Publicación
    Analysis of the Influence of the Moment the Internationalization Process Begins on the Internationalization Intensity of Family and Nonfamily Businesses: An Approach Using a Tobit Model
    (MDPI, 2022-10-10) Varas Fuente, Oscar Javier; Arguedas Sanz, Raquel; Rodrigo Moya, Beatriz
    The specific characteristics of family businesses as well as the internationalization path followed can influence the intensity of the internationalization process. Many studies have analyzed how family character can influence the internationalization process of family businesses, and the results obtained have not been conclusive. Nevertheless, previous research has not sufficiently addressed the influence that the moment of initiation of the internationalization process has on the levels of internationalization achieved. Based on the behavioral agency model, the unique set of business resources (familiness), and the socioemotional wealth (SEW) perspective, this study examines, the internationalization intensity of family and nonfamily businesses in two defined groups (early internationalization and internationalization from the local market). Likewise, the effect that the entry of the second generation has on the internationalization of these companies is analyzed. To perform this analysis, Tobit regression models are estimated from a data set of panel data from the Spanish Survey on Business Strategies for small and medium-sized Spanish family businesses from 2005 to 2016, finding that family ownership and management have a negative influence on the intensity of exports, regardless of the path of internationalization followed, and that the entry of new generations has a positive relationship with the level of internationalization of these businesses. Finally, implications of the findings for research and management are discussed.