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Purpose: Quantitative bibliometric approaches were used to statistically and objectively explore patterns in the sharing economy literature. Design/methodology/approach: Journal (co-)citation analysis, author (co-)citation analysis, institution citation and co-operation analysis, keyword co-occurrence analysis, document (co-)citation analysis and burst detection analysis were conducted based on a bibliometric data set relating to sharing economy publications. Findings: Sharing economy research is multi- and interdisciplinary. Journals focused upon products liability, organizing framework, profile characteristics, diverse economies, consumption system and everyday life themes. Authors focused upon profile characteristics, sharing economy organization, social connections, first principle and diverse economy themes. No institution dominated the research field. Keyword co-occurrence analysis identified organizing framework, tourism industry, consumer behavior, food waste, generous exchange and quality cue as research themes. Document co-citation analysis found research themes relating to the tourism industry, exploring public acceptability, agri-food system, commercial orientation, products liability and social connection. Most cited authors, institutions and documents are reported. Research limitations/implications: The study did not exclusively focus on publications in top-tier journals. Future studies could run analyses relating to top-tier journals alone, and then run analyses relating to less renowned journals alone. To address the potential fuzzy results concern, reviews could focus on business and/or management research alone. Longitudinal reviews conducted over several points in time are warranted. Future reviews could combine qualitative and quantitative approaches. Originality/value: We contribute by analyzing information relating to the population of all sharing economy articles. In addition, we contribute by employing several quantitative bibliometric approaches that enable the identification of trends relating to the themes and patterns in the growing literature. [ABSTRACT FROM AUTHOR]

Multivariate logistic regression analysis was used to detect the combination of factors associated with the provision of job-related training provided by employers located throughout the United Kingdom. The efficacy of broad brush policy initiative s to encourage the provision of training in all very small firms is questioned. A case for targeting training provision assistance is presented. [ABSTRACT FROM AUTHOR]

Makes a contribution to the debate surrounding the characteristics of "non-exporting" (n = 203 firms) and "exporting" (n = 64 firms) new manufacturing and "producer services" small firms in Great Britain. It was appreciated that sample differences may overwhelm the exploratory analysis. Consequently, in order to overcome this potentially distorting influence a "matched pairs" methodology was also utilized. Forty-two matched pairs of non-exporting and exporting firms were identified (by age of the business, industry and location type). In total, data were collected on 146 variables covering the firm, the founder and the environment. Dichotomizing between the two types of firms the univariate analysis of the "matched samples" identified statistically significant differences with regard to only 14 variables (10 per cent). Additional multivariate analysis was conducted. Results from a logit regression model of the "matched samples" suggests new firms are "pushed" into "exporting" their sales abroad due to perceived shortages of local resources as well as intense local competition. Discusses the policy implications of the survey findings. [ABSTRACT FROM AUTHOR]