Norat Roig-Tierno

A Bibliometric History of the Journal of Psychology Between 1936 and 2015

ABSTRACT The Journal of Psychology: Interdisciplinary and Applied is a leading international journal in psychology dating back to 1935. This study examines its publications since its creation utilizing a bibliometric analysis. The primary objective is to provide a complete overview of the key factors affecting the journal. This analysis includes such key issues as the publication and citation structure of the journal, its most cited articles, and the leading authors, institutions, and countries referenced in the journal. The work uses the Scopus database to classify the bibliographic material. Additionally, the analysis provides a graphical mapping of the bibliographic data by using visualization of similarities viewer software. This software uses several bibliometric techniques including co-citation, bibliographic coupling and co-occurrence of keywords. The Journal of Psychology is strongly connected to most of the current leading journals in psychology, and currently has a 5-year impact factor of 1.77 (Thomson Reuters, 2015 Journal Citation Reports).

Comparing trade areas of technology centres using ‘Geographical Information Systems’

Advances in geographical information systems have contributed to location and marketing design strategies on the part of retailers. The techniques used in this field are based on delimiting trade areas and spatial analysis. The same approach is applied in this study to technology centres, which are considered as suppliers of knowledge-intensive services to their associated firms. The research objective focuses on analysing the spatial distribution of firms associated with two technology centres from different sectors. The results indicate that firms associated with a technology centre present spatial patterns that are similar to those observed in retailing, while significant differences were also found between the two technology centres used for the study.

Synergistic effects and the co-existence of networks in clusters

Abstract Network systems like clusters are characterized by the coexistence of relational architectures with ties and nodes of different nature. While recent research has analysed how a set of structural features shape the dynamics and effects of one cluster network, the outstanding question is to what extent such features and outcomes are influenced by the concomitance of distinct content-related linkages. This paper integrates both network and evolutionary economic geography perspectives to develop and test a model that links innovation performance with the benefits that stem from technical and business relations. Data collected in a biotech cluster in the Valencia region (Spain) demonstrate the changing effect of brokerage and overlapping ties on innovation as a function of knowledge shared. Findings extend the theoretical understanding of how knowledge diffuses in clusters and provide valuable insights for both practitioners and policy makers.

Governance models of coopetition and innovation: the case of Spanish firms

Although numerous studies show that cooperation relates strongly to obtaining benefits in business innovation, few researchers have considered the role of competition in this relationship. Nevertheless, it is expected that firms can boost their innovation if they cooperate with competitors and with intermediaries. The aim of this study was to observe whether coopeting firms achieve high degrees of innovation. To accomplish this aim, we used a sample of innovative firms from the region of Valencia (Spain). The chosen region has specific structural characteristics, which are discussed later. Although the sampled firms compete with one another, they also collaborate with each other and with intermediaries (i.e., technology centres and local universities). Fuzzy-set qualitative comparative analysis (fsQCA) tested propositions established in the conceptual framework. Results show that when competing firms collaborate (i.e., when they coopete), they are able to increase their degree of innovation.

Clustering and innovation: firm-level strategising and policy

In recent years, the study of clusters has occupied a key position at the top of the research agenda. Interest in clusters is related to the spatial and social proximity of clusters. An example of this phenomenon is high-growth firms’ innovation potential, which is strongly conditioned by the nature of the competitive environment (Brown, Mawson, and Mason 2017). The geography of high-growth firms, which has a major impact on regional development, seems to obey a spatial logic (Li et al. 2016). The level of clustering may differ depending on the life cycle of the sector in question (Breschi and Malerba 2001). As explained by Isaksen (2016), the emergence of clusters requires the right conditions for groups to appear, as well as the triggers that determine that clusters arise in particular locations. Several approaches seek to explain why clustering favours innovation in firms (Oerlemans, Meeus, and Boekema 2001). For example, clustering facilitates long-term relationships and face-to-face contact and allows firms to rapidly detect new technological possibilities. Clusters improve firms’ access to information, knowledge and institutions. Nevertheless, despite the popularity of the concept of clusters, sometimes simply equated to co-localised companies, there seems to be a lack of empirical insight into how clustering takes place in different circumstances and locations. Individual firms’ innovation strategies often reflect the density, diversity and connectivity of the local environment (Herstad 2017). Likewise, access to certain resources, such as labour markets, networks, information reflects the prevailing industrial and institutional conditions (Coenen, Moodysson, and Martin 2015). Companies seek consistency between their strategies and the local context to maximise the value of their assets (Roper, Love, and Bonner 2017). The last 20 years have witnessed numerous approaches to implementing innovationoriented cluster policies (Uyarra and Ramlogan 2016). Such policies seek to encourage the development of clusters by co-financing R&D collaborations and innovation activities. Nevertheless, few studies have examined the impact of these policies. From both an academic perspective and the point of view of policy implications, there is major interest in analysing how companies access and use external knowledge within their clusters to generate and develop innovative projects. Hence, this special issue, Clustering and Innovation: Firm-Level Strategising and Policy, focuses on two areas. The first area relates to the need for theoretical, methodological and empirical advances to better our

Using Crowdsourcing to Overcome Barriers to Women Entrepreneurship

This chapter presents crowdsourcing as a novel way of overcoming barriers facing women entrepreneurs, offering alternatives to conventional solutions. The study analyzes three barriers to women entrepreneurship: access to financing, access to specific management knowledge, and access to information and communication technologies (ICTs). For each barrier, a different form of crowdsourcing is proposed: crowdfunding, crowd wisdom, and crowdfunded media, respectively. Using these crowdsourcing tools, women entrepreneurs can overcome major difficulties when starting businesses.

Knowledge, Promotional Events, and the Contribution of Clustering to Innovation

This research provides insight on the mechanisms through which knowledge acquired through promotional events and through spatial co-location simultaneously sustains firms innovation. Applying the concept of temporary clusters to promotional events, we simultaneously test how internal resources mediating effect and promotional events moderating role affect innovation in clusters. Regression analyses with nonparametric bootstrapping and a large sample of Spanish clusters confirm the synergies derived from the combination of internal resources, local relationships, and complementary foreign events. Although extra-cluster linkages increase this effect, synergies creation requires attendance to international exhibitions or conventions. Valuable implications for practitioners and policy makers are discussed.

Building resilient clusters through HRM systems: a multiple mediator model

Purpose n n n n nThere is a growing research interest in the relationships between networks and the firm’s assets and between networks and innovation. Studies have shown the complexity and idiosyncrasies of these relationships for firms in clusters. The way firms in clusters build certain organizational resources and capabilities, however, remains underexplored. Based on the assumption that most of these organizational assets rely on human resources, the purpose of this paper is to shed light on the mechanisms through which a set of managerial practices (the human resource management (HRM) system) enhances innovation. n n n n nDesign/methodology/approach n n n n nMicro-level data were collected for 139 firms located in three Spanish industrial clusters. Next, the main constructs were developed. A multiple mediator model was then used to examine how HRM systems influence innovation through strategic vision, embeddedness in local networks, the implementation of enterprise systems, and cluster characteristics. n n n n nFindings n n n n nThe effect of HRM systems on innovation performance was indirect rather than direct. All four mediating variables included in the model were found to be relevant mechanisms through which HRM systems affect innovation performance. The statistical significance of these variables, however, varied depending on the type of innovation (product, process, organizational, or marketing). n n n n nPractical implications n n n n nGreater attention should be paid to the structure and sophistication of HRM systems. Top-level managers should be aware of the linkages between HRM systems and mediators. Greater human resource orientation in strategic planning, enterprise system design, and networking practices reinforces the association between HRM systems and innovation. n n n n nOriginality/value n n n n nThis study advances our understanding of the mechanisms underlying the relationship between HRM systems and innovation. From an academic perspective, this study enriches the cluster literature by better integrating human resources with innovation processes. Furthermore, this study creates research opportunities by disentangling the role of different managerial practices and refining the operationalization of the mediating variables. The findings can also help managers develop human resources and innovation strategies.

Multidimensional paths to regional poverty: a Fuzzy-set qualitative comparative analysis of Colombian departments

Abstract This paper provides a simple, systemic, holistic assessment of regional conditions that lead to capability deprivation. Capability deprivation is measured at the regional level using the indicators of monetary poverty and life expectancy in Colombia. Fuzzy-set qualitative comparative analysis (fsQCA) is used to identify necessary or sufficient conditions for high and low deprivation in Colombian departments (regions). The multidimensional paths consist of combinations of economic conditions (GDP per capita and trade openness), social conditions (education) and institutional conditions (transparency and internal displacement). The observed interactions between conditions indicate that no single condition leads to regional poverty. Peace and transparent institutions are important conditions in most of the paths that lead to high or low capability or functioning indicators.

Assessing food retail competitors with a multi-criteria GIS-based method

Given the importance of competition in the retail sector, this research builds on spatial interaction theory to develop the competition index (CI). For this, geographic information systems (GIS) and the analytic hierarchy process (AHP) were used. AHP results reveal that key factors to assess competitors relate to location and branding. The proposed method was tested by evaluating 45 supermarkets in the city of Castellon (Spain). Using this method, sales targets can be adapted to each outlet’s individual circumstances.