کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
351181 618465 2013 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Cross-cultural analysis in online community research: A literature review
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Cross-cultural analysis in online community research: A literature review
چکیده انگلیسی

Cross-cultural online community research can support theoretical generalizability, increase methodological robustness and give insights into user online behavior. The objective of this paper is to review the existing literature on comparative cross-cultural online community research in order to investigate the current state of the literature, extract conceptual patterns and identify methodological and emergent issues. This will inform the development of the field, map out research delimiters, and set out guidelines for future research. The findings from the literature review demonstrated five key areas of methodological difficulty in cross-cultural online community comparative analysis; sampling form, country selection, number of cultures compared, participant type and interpretation of data. Key themes that emerged from the literature included the use of the nation state as a unit of culture, a lack of definition of the concept of online community, and the impact of current theory on cross-cultural online community analyses. Recommendations in the areas of methodology, definition and theory are provided. These findings should be of interest to both specific online community researchers, and those in other multidisciplinary fields where online communities are being used as a research environment.


• The existing literature on comparative cross-cultural online community research is reviewed.
• Methodological difficulties are identified.
• Differences in the comparative locus of the literature surfaced.
• Emergent themes from the literature are discussed.
• Recommendations based on the review are provided.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 29, Issue 3, May 2013, Pages 1028–1038
نویسندگان
, ,