1,720,999 research outputs found
Carsharing: A literature review and a perspective for information systems research
No full textPrivate car ownership in the context of the ongoing urbanization is creating challenges concerning environmental pollution, high energy costs, and limited and expensive parking. As a reaction to these negative impacts, companies are developing new mobility alternatives to private car ownership. One alternative is carsharing that provides individuals with cars from a fleet on an as-needed basis. To create a conceptual structuring of the topic of carsharing, we conduct a literature review identifying 93 articles and six concepts, i.e., market analysis, location, travel behavior, information systems, electric carsharing, and sustainability. Findings are discussed and implications for information systems research are given
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Performance of several types of beta-binomial models in comparison to standard approaches for meta-analyses with very few studies
No full textBACKGROUND: Meta-analyses are used to summarise the results of several studies on a specific research question. Standard methods for meta-analyses, namely inverse variance random effects models, have unfavourable properties if only very few (2 – 4) studies are available. Therefore, alternative meta-analytic methods are needed. In the case of binary data, the “common-rho” beta-binomial model has shown good results in situations with sparse data or few studies. The major concern of this model is that it ignores the fact that each treatment arm is paired with a respective control arm from the same study. Thus, the randomisation to a study arm of a specific study is disrespected, which may lead to compromised estimates of the treatment effect. Therefore, we extended this model to a version that respects randomisation. The aim of this simulation study was to compare the “common-rho” beta-binomial model and several other beta-binomial models with standard meta-analyses models, including generalised linear mixed models and several inverse variance random effects models. METHODS: We conducted a simulation study comparing beta-binomial models and various standard meta-analysis methods. The design of the simulation aimed to consider meta-analytic situations occurring in practice. RESULTS: No method performed well in scenarios with only 2 studies in the random effects scenario. In this situation, a fixed effect model or a qualitative summary of the study results may be preferable. In scenarios with 3 or 4 studies, most methods satisfied the nominal coverage probability. The “common-rho” beta-binomial model showed the highest power under the alternative hypothesis. The beta-binomial model respecting randomisation did not improve performance. CONCLUSION: The “common-rho” beta-binomial appears to be a good option for meta-analyses of very few studies. As residual concerns about the consequences of disrespecting randomisation may still exist, we recommend a sensitivity analysis with a standard meta-analysis method that respects randomisation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-022-01779-3
Do EMIS have the capabilities to support sustainability reporting in practice? Initial results from a latitudinal study with German companies
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Do EMIS have the capabilities to support sustainability reporting in practice? Initial results from a latitudinal study with German companies
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