The Global Jukebox: a public database of performing arts and culture

Standardized cross-cultural databases of the arts are critical to a balanced scientific understanding of the performing arts, and their role in other domains of human society. This paper introduces the Global Jukebox as a resource for comparative and cross-cultural study of the performing arts and culture. The Global Jukebox adds an extensive and detailed global database of the performing arts that enlarges our understanding of human cultural diversity. Initially prototyped by Alan Lomax in the 1980s, its core is the Cantometrics dataset, encompassing standardized codings on 37 aspects of musical style for 5,776 traditional songs from 1,026 societies. The Cantometrics dataset has been cleaned and checked for reliability and accuracy, and includes a full coding guide with audio training examples (https://theglobaljukebox.org/?songsofearth). Also being released are seven additional datasets coding and describing instrumentation, conversation, popular music, vowel and consonant placement, breath management, social factors, and societies. For the first time, all digitized Global Jukebox data are being made available in open-access, downloadable format (https://github.com/theglobaljukebox), linked with streaming audio recordings (theglobaljukebox.org) to the maximum extent allowed while respecting copyright and the wishes of culture-bearers. The data are cross-indexed with the Database of Peoples, Languages, and Cultures (D-PLACE) to allow researchers to test hypotheses about worldwide coevolution of aesthetic patterns and traditions. As an example, we analyze the global relationship between song style and societal complexity, showing that they are robustly related, in contrast to previous critiques claiming that these proposed relationships were an artifact of autocorrelation (though causal mechanisms remain unresolved).Introduction Background The Global Jukebox and its data 1. The data 1.1. Datasets of the Global Jukebox 1.2. Comparison with other cross cultural datasets 1.3. Coded performance variables: Selection and reliability 1.4. Performance data sources 1.5. Selection of audio examples 1.6. Availability of audio recordings 1.7. Performance metadata 2. Sampling societies and links to other datasets 2.1. Sampling societies 2.2. Links to other cross-cultural datasets 3. Data curation, cleaning, and validation 4. Coding reliability 5. Is song style correlated with social complexity? An example of hypothesis testing using the Global Jukebox 5.1. Hypothesis testing with the Global Jukebox datasets 5.2. Methods 5.3 Results of reanalysis 5.4 Discussion 6. Ethics, rights and consent 7. Conclusio

Use of ‘Habit’ is not a habit in understanding individual technology adoption: A review of UTAUT2 based empirical studies

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A Meta-analysis of Social Commerce Adoption Research

Social commerce is a subset of e-commerce that utilises social media to facilitate interaction between sellers and consumers. Over the last number of years, the subject of social commerce has attracted significant attention from many researchers as they attempt to understand the factors affecting its adoption by consumers. A review of results from existing studies suggests inconsistent results for many relationships. Hence, this research has conducted a meta-analysis of 65 studies and synthesized the findings from existing studies in order to estimate the cumulative correlation coefficient (β) and significance (p). The investigation found that behavioural intention, trust, perceived usefulness, and social support are frequently examined dependent variables, that are strongly influenced by a number of independent variables. The findings in this study suggests that perceived usefulness, hedonic value, social commerce constructs, subjective norms, informational and emotional support are important for encouraging social commerce adoption. This research highlights various antecedents that have been theoretically examined in different social commerce studies that explore the effect size through meta-analysis