کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4972649 1365428 2017 60 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Field effects of social media platforms on information-sharing continuance: Do reach and richness matter?
ترجمه فارسی عنوان
اثرات حوزه سیستم های رسانه های اجتماعی در مورد پیوستن به اشتراک اطلاعات: اهمیت دسترسی و غنی بودن چیست؟
کلمات کلیدی
رسانه های اجتماعی، پیوستن به اشتراک اطلاعات، انگیزه بیرونی، انگیزه ذاتی، ویژگی های شبکه، رسیدن و ثروت،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر سیستم های اطلاعاتی
چکیده انگلیسی
Based on the Field Theory, this study postulates that the cognitive processes involved in making decisions to share information on social media platforms could be dynamically affected by network features and the contextual environment. The field effect is exerted by the reach and richness of network features, which virtually form a psychological pressure on one's perception of the sharing situation. A research model is developed, in which the effects of extrinsic and intrinsic motivators on information-sharing continuance are moderated by the network features of social media platforms. A global sample from content contributors in two major social media platform contexts, experience-socialization (ES) platforms (N = 568) and intelligence-proliferation (IP) platforms (N = 653), were collected through the participatory research method. By using partial least-square analysis, the moderating effects of network features on cognitive-sharing processes under the two contexts were confirmed. For contributors on ES platforms, network features negatively moderate community identification and perceived enjoyment toward information sharing. By contrast, for contributors on IP platforms, network features negatively moderate the effects of perceived usefulness and altruistic tendencies on their intention to share, but self-efficacy for sharing is positively induced. The conceptualization of network features and refined knowledge about the situational and contextual effects of social media platforms are useful for further studies on social behaviors and may ultimately benefit platform providers in their attempts to promote information-sharing continuance.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information & Management - Volume 54, Issue 2, March 2017, Pages 241-255
نویسندگان
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