University of Lincoln

About: University of Lincoln is a education organization based out in Lincoln, Lincolnshire, United Kingdom. It is known for research contribution in the topics: Population & Higher education. The organization has 2341 authors who have published 7025 publications receiving 124797 citations.

Publication trends and patterns in entrepreneurship: The case of The International Journal of Entrepreneurship and Innovation

Abstract: Purpose – This paper considers the models, methodologies, techniques and data utilised in articles published in The International Journal of Entrepreneurship and Innovation over the period 1999‐2003, in an attempt to determine theoretical and methodological trends and themes emerging from within the literature. Design/methodology/approach – The paper considers articles published in the journal from multiple perspectives including: methods of data analysis, epistemological frameworks deployed, dominant academic disciplines and geographical location of the authors. Topic areas and keywords associated with each article are examined in order to identify particular foci for publication and to broadly determine the “topography” of published output. Findings – The broad publication profile was of more quantitative than qualitative papers, with some consideration of policy issues. Research limitations/implications – Analysis is confined to an example of one journal in the field and thus its comparative validity is limited. Practical implications – A very useful account of publication trends in the discipline. The article is of value to academics who are seeking to publish. Indicates the methodological trends that are utilised in the discipline. Originality/value – This is an innovative investigation into publication trends in the discipline.

How Viable Is the UTAUT Model in a Non-Western Context?

Abstract: The present research examines the plausibility of the Unified Theory of Acceptance and Use of Technology (UTAUT) model in predicting internet banking behaviour as a newly adopted technology in third world countries. Data is collected from three Arab countries: Jordan, Saudi Arabia and Egypt. Confirmatory factor analysis is used to test the hypothesized structural model. Findings are congruent with model testing under conditions of volitional usage behaviour. In this regard, the role of facilitating conditions variable is insignificant as a determinant of usage behaviour. Social norms variable also proved to be weak determinant of behavioural intentions. Findings demonstrate effort expectancy as the key determinant of internet banking usage behaviour in the examined markets, while users’ experience moderates the impact of effort expectancy on behavioural intention. Results should enhance our understanding of internet banking usage in developing countries and support e-services promoting in this region.

The influence of phylogeny, social style, and sociodemographic factors on macaque social network structure

Abstract: Among nonhuman primates, the evolutionary underpinnings of variation in social structure remain debated, with both ancestral relationships and adaptation to current conditions hypothesized to play determining roles. Here we assess whether interspecific variation in higher-order aspects of female macaque (genus: Macaca) dominance and grooming social structure show phylogenetic signals, that is, greater similarity among more closely-related species. We use a social network approach to describe higher-order characteristics of social structure, based on both direct interactions and secondary pathways that connect group members. We also ask whether network traits covary with each other, with species-typical social style grades, and/or with sociodemographic characteristics, specifically group size, sex-ratio, and current living condition (captive vs. free-living). We assembled 34–38 datasets of female-female dyadic aggression and allogrooming among captive and free-living macaques representing 10 species. We calculated dominance (transitivity, certainty), and grooming (centrality coefficient, Newman's modularity, clustering coefficient) network traits as aspects of social structure. Computations of K statistics and randomization tests on multiple phylogenies revealed moderate-strong phylogenetic signals in dominance traits, but moderate-weak signals in grooming traits. GLMMs showed that grooming traits did not covary with dominance traits and/or social style grade. Rather, modularity and clustering coefficient, but not centrality coefficient, were strongly predicted by group size and current living condition. Specifically, larger groups showed more modular networks with sparsely-connected clusters than smaller groups. Further, this effect was independent of variation in living condition, and/or sampling effort. In summary, our results reveal that female dominance networks were more phylogenetically conserved across macaque species than grooming networks, which were more labile to sociodemographic factors. Such findings narrow down the processes that influence interspecific variation in two core aspects of macaque social structure. Future directions should include using phylogeographic approaches, and addressing challenges in examining the effects of socioecological factors on primate social structure.