Big Intelligence Research Articles

A Service-Oriented Foundation for Big Data

This paper provides a service-oriented foundation for big data. The foundation has two parts. Part 1 reveals 10 big characteristics of big data. Part 2 presents a service-oriented framework for big data. The framework has fundamental, technological, and socio-economic levels. The fundamental level has four big fundamental characteristics of big data: big volume, big velocity, big variety, and big veracity. The technological level consists of three big technological characteristics of big data: Big intelligence, big analytics, big infrastructure. The socioeconomic level has three big socioeconomic characteristics of big data: big service, big value, and big market. The article looks at each level of the proposed framework from a service-oriented perspective. The multi-level framework will help organizations and researchers understand how the 10 big characteristics relate to big opportunities, big challenges, and big impacts arising from big data. The proposed approach in this paper might facilitate the research and development of big data, big data analytics, business intelligence, and business analytics.

Public relations as a strategic intelligence for the 21st century: Contexts, controversies, and challenges

This article features uncertainty as one of the dominant challenges facing society and, therefore, contemporary public relations. In looking for ways to better adapt and promote public relations to the service of fully functioning society, it revisits controversies around the notion of multiple intelligences (MIs), including emotional intelligence. It examines the stakes and status involved in claiming “ownership” of IQ or of promoting another “form” of intelligence(s). In addition, the article foregrounds the formative role played by promotional communication, especially in framing ideas and telling stories, to gain traction in academic communities and to gain acceptance among wider publics. Finally, it suggests that public relations is a disciple of strategic intelligence that could learn by adapting to, or adopting from, the growing range of subjects aspiring to be the next big intelligence. We suggest that such an adaptation has benefits: it might to better access knowledge with contemporary and future relevance rather than slowly consolidating a more insular Public Relations Body of Knowledge based on past results; it can improve the field's impact and reputation by engaging public relations with cross-disciplinary controversies; and it can follow Gardner's (2008) forward-looking view of the need for any discipline, or cluster of good intelligences, to be oriented to serving a global community.