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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.

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.

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.

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.

This work systematically developed a novel scale for measuring UPVoCI in OSNs and constructed new models and rules for predicting UPVoCI in OSNs.

Blog is a web-based social activity that has become mainstream media. The purpose of this paper is to develope a measurement instrument for assessing blog service innovation, which social media services providers and bloggers can use to promote blog functions and to ensure high quality blog services.

The study adopted both qualitative and quantitative research methods and performed four steps of scale development, including item generation and item pooling, pretest and initial purification, scale refinement, and scale validation and critical item analysis.

From a user-oriented service perspective, the major findings of the study were the 18 measurement items for blog service innovation scale (BLOG-S-INNO scale), which was derived from the innovative blog cognition of blog users. One critical factor in the BLOG-S-INNO scale was further identified to effectively predict outcomes of blog service innovation in social media services.

Management at social media services providers can apply the BLOG-S-INNO scale as a diagnostic tool to assess organizational innovation capabilities in relation to blog services, and to link their innovation strategies with the innovation experiences of bloggers improving bloggers’ affection. The findings of this study also make it possible to offer recommendations to help bloggers improve service innovation to increase the experience and preference of blog browsers.

The study used qualitative research methods to construct a pool of items for measuring blog service innovation. Furthermore, the paper conducted quantitative research methods to develop a new blog service innovation scale and analyzed the key indicators of blog service innovation.