دانلود رایگان مقاله انگلیسی عوامل شناسایی ارزش درک شده توسط کاربر از هوش جمعی بر اساس شبکه اجتماعی آنلاین - امرالد 2017

Abstract

Purpose – An important issue for researchers and managers of organizations is the understanding of user-perceived values of collective intelligence (UPVoCI) in online social networks (OSNs) with the purpose of helping organizations identify the values that cause internet users and members of OSNs to share information and knowledge during they participate in collective intelligence (co-intelligence) activities. However, the development of measurement instruments and predictive models and rules for predicting UPVoCI are inadequate. The paper aims to discuss these issues. Design/methodology/approach – A novel measurement scale was developed to measure UPVoCI using a user-oriented research strategy that is based on qualitative and quantitative research methods. This work also identified critical indicators and constructed predictive models and rules for forecasting UPVoCI by multivariate statistical methods and data mining. Findings – A 17-item scale of UPVoCI was developed and 17 measurement items were associated with two major dimensions, which are the user-perceived social value of co-intelligence and the user-perceived problem-solving value of co-intelligence. Ten critical indicators of UPVoCI that are important in predicting UPVoCI and 12 rules for predicting UPVoCI were identified and a refined model for predicting UPVoCI was constructed. Research limitations/implications – The results in this work allow organizations to determine the perceived value of members of OSNs and the benefits of their participating in co-intelligence activities, as a basis for adjusting user-oriented online co-intelligence and service strategies with the goal of improving collaborative innovation performance. Originality/value – This work systematically developed a novel scale for measuring UPVoCI in OSNs and constructed new models and rules for predicting UPVoCI in OSNs.

5.1 Conclusions

Recently, the number of organization-related OSNs has increased. Therefore, organizations should develop effective online service strategies to simulate the perceived values of members of OSNs and to increase their participation in co-intelligence activities, promoting interest, and intention to engage in collaborative innovation. Identifying UPVoCI is important as doing so can elucidate the relationships among the perception of value of co-intelligence, attitudes toward co-intelligence and intention to engage in collaborative innovation, with the goal of setting online service strategies.

This work offers many important findings. First, a novel scale of UPVoCI is developed and its effectiveness is demonstrated using qualitative and quantitative research methods. Based on the results in this work, which incorporates a user-oriented research strategy, the refined 17 measurement items on the UPVoCI scale are associated with two major dimensions, which are the user-perceived social value of co-intelligence and the user-perceived problem-solving value of co-intelligence, and four factors. A structural scale for measuring UPVoCI can enable companies to identify the perceived values and benefits of participating in co-intelligence activities and to modify user-oriented online co-intelligence and service strategies to attract and retain members of OSNs. Furthermore, this measurement scale can enable online social media service providers to evaluate the limitations of online social media services, and thus to improve and to develop popular social networking functions and platforms.