Persona: Navío Marco, Julio
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0000-0001-5163-9777
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Navío Marco
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Julio
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Publicación Interlinkages between coopetition and organisational innovation in Europe(Emerald, 2021-10-12) Ibar Alonso, Raquel; Bujidos Casado, María Jesús; Navío Marco, JulioPurpose The objective of this research is to analyse the relationship between coopetition and organisational innovation in EU countries. As coopetition is usually studied from an inter-company perspective, this work looks in detail at the “ad intra” dynamics of the coopeting companies to understand how they adjust their organisation or implement organisational innovation to successfully adopt this original approach. Design/methodology/approach Using Eurostat data (CIS2014), this research offers a quantitative study on coopeting companies, relating coopetition to organisational innovation. The analysis technique used in this study is logistic regression with maximum likelihood estimation, where the dependent variable is the location of the coopeting companies. Findings The findings highlight specific characteristics and differences according to whether a company coopetes domestically or in other more complex geographic environments. It also incorporates variables into the analysis such as the use of price marketing, employee training and company size. Originality/value Our study provides insights into the relationship between coopetition and organisational innovation, in a research field that usually focuses on inter-company analysis. Several little-studied factors are included in the analysis, such as the role of employee qualifications and differences in coopetition in different geographic areas. We observe that, in certain locations, coopetition could be related to a “market entry” effect.Publicación Are retailers leveraging in-store analytics? An exploratory study(Emerald, 2022-05-03) Lorente Martínez, Javier; Navío Marco, Julio; Rodrigo Moya, BeatrizPurpose 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.Publicación Influence of organisational innovation and innovation in general on eco-innovation in European companies(Emerald, 2021-10-13) Rodríguez Rebés, Laura; Ibar Alonso, Raquel; Navío Marco, JulioPurpose This research focuses on establishing relationships between eco-innovation and organisational innovation to characterise organisational eco-innovation in European Union companies. We also aim to investigate the forms of organisational innovation that eco-innovative companies use as well as the factors or determinants of eco-innovation in the corporate environment that impel the use of organisational innovation. Design/methodology/approach We use the estimation of different binary logistic regression models with maximum likelihood applied to a sample obtained from the Eurostat's Community Innovation Survey 2014 database as a starting point. Findings The results suggest that the type of organisational innovation most closely related to eco-innovation is found in work responsibility and decision-making methods. Some less frequently studied significant factors are highlighted, such as training or aspects related to intellectual capital and knowledge management, since significant indications of the importance and acquisition of existing know-how have appeared, in contrast to internal knowledge generation. Originality/value The study seeks to observe what specific quantitative drivers (external or internal) are used for organisational eco-innovation, as a specific subtype of eco-innovation. This can improve our understanding of the ways in which organisational innovation can be used by corporations to provide environmental benefits. The academic literature provides information on the drivers and determinants for both organisational innovation and eco-innovation separately, but we believe this article offers a new approach by looking at the specific eco-innovation drivers achieved through organisational innovation.