Big Data Research for the Knowledge Economy: Past, Present, and Future
Special issue call for papers from Industrial Management & Data Systems
Knowledge Economy Big Data Research - deadline extended
What is the Special Issue about?
This special issue aims to raise the awareness of big data research to the current IMDS readership. More specifically, this special issue will focus on knowledge generation and value creation from big data from various disciplines including operations, finance, marketing, innovation, tourism management, and so on. Therefore, it is hoped that the special issue can inform as well as also broaden the readership of the Journal.
Topics of interest
The scope of this call for papers is necessarily broad to provide flexibility to researchers to address current and emerging topics in big data research for the knowledge economy. We seek cutting edge developments, concepts and practices that reflect current breakthroughs in big data research. Areas in which contributions may be made include (but are not limited to):
- Sources of big data and analysis
- Methodological issues
- Social media research
- Financial services
- Tourism management
- Operations and manufacturing management
- Innovation management
- Service development and provision
Deadline for submission: 30 April, 2015
First round review reports: 30 May, 2015
Revised paper submission: 30 June, 2015
Final manuscript submissions to publisher: August 2015
- Manuscripts should be submitted no later than 30 March 2015 using the IMDS author guidelines
- Please submit your article using the IMDS Emerald manuscript central portal and select "Special Issue: Big Data Research for the Knowledge Economy: Past, Present, and Future" when it prompts to indicate the "Article Type" in the submission.
- Please contact Dr Xiaojun Wang if you have any questions prior to submitting your article
More information about the topic of the Special Issue
While there has been a growing academic as well as practitioner interest in 'big data', i.e. large, fast-moving, complex and open datasets, there are also countless organisations using and producing big data that are not just traditional IT companies. There is increasing enthusiasm for exploiting big data, and making better use of quantitative and qualitative data from a range of “open” and administrative sources. Previous studies, however, have focused heavily on data mining algorithms, and associated applications on the available data, and so on. Research regarding big data leading to insights for knowledge economy is under-studied. Many disciplines such as information management, operations management, finance, innovation management, etc., have contributed to vast knowledge generation, and yet the links between big data and this proliferation of knowledge is not well understood. The main purpose of this special issue is to reflect the recent developments made in this respect and it is our aim to link the past to the future by both looking back to what has been done and by looking forward to what needs to be done in big data research for the knowledge economy.
About the Journal
Industrial Management & Data Systems (IMDS) is an international, double blind peer-reviewed, ISI-listed (2013 Impact Factor is 1.345) that aims to provide the necessary information to enable managers to exploit the potential of new technology knowledgeably and improve understanding of all aspects of management activity such as management information systems, business process management and supply chain management.