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Library Management and Innovation in the Big Data Era

Special issue call for papers from Library Hi Tech


Big data has become a significant area nowadays and received considerable attention in both research and practice. The well-known book “Big data: A revolution that will transform how we live, work, and think” written by V. Mayer-Schönberger and K. Cukier in 2013 was cited over 1400 times based on Google Scholar. Some other books on Big Data have drawn hundreds of citations. Big data have also attracted increasing academic interest in recent years. The leading journal of the Information Systems discipline, Information Systems Research has published a special issue in 2014 on “Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research”.  At the same year, another leading journal – MIS Quarterly – has published a special issue on “Big Data and IS Research”. International Conference on Information Systems (ICIS), one of the most prestigious conferences within the digital information world, even developed a new conference track “Data Science and Business Analytics” in 2016. Beyond that, there are numerous interdisciplinary conferences, including IEEE International Conference on Big Data, Big Data Congress, and iConference, which started to advocate the importance of big data.

Although scholars in Library and Information Science discipline have claimed that big data presents a huge opportunity for library research, the role of big data in library management and innovation is not well understood. In fact, big data-based library innovative applications can provide personalized, remote, real-time, and virtualized services to the library users. In addition, the rapid increase in volume, veracity, velocity and variety of data generated by different library tools offers innovative ways of understanding interactions with users in the library environment.

About the Special Issue

This special issue will make significant and original contributions to both library and information systems communities. For library practitioners and researchers, this issue utilizes big data thinking and data analytics approach to address the problems and promote innovations in the library. For information systems scholars, this issue is an early attempt to understand how library data can be acquired, processed, and applied to generate value and true insights.

This special issue aims to publish high-quality papers that address not only library management issues and provide library innovative applications, technology, and services based on big data analytics, but also technical and managerial approaches, solutions , methodologies, and solutions that overcome the challenges of big data applications and innovations in library. The special issue will attract varieties of communities, such as librarians, information technology (IT) professionals, technology developers, as well as academia in library, computer science, information systems, and management areas. This special issue is a very early attempt among previous literature to integrate library management and big data. This issue can also facilitate the understanding of how to use data to enhance the service for library users. Technological solutions and case studies evolved in the special issue can also be valuable teaching resources.

Researchers are invited to submit papers that illustrate research results, project findings, surveys of the field, and critical analyses of significant advances in the following areas, among others:

  • The impact of big data on library management
  • Big data innovation in library
  • Big data-based library services and applications
  • Big data-based intelligent library management systems
  • Big data-based personalized library applications and services
  • The adoption and diffusion of big data based library services and applications
  • The role of libraries in data management and analysis
  • Users behaviour modelling with library big data
  • Privacy concerns in library big data
  • The value of big data in library management
  • Bid data-based E-library
  • Big data-based mobile library
  • Storage, processing and use of big data in libraries
  • Library big data collection and processing
  • Library data standardization
  • Library data mining
  • Library data sharing and storage

Guest Editors

Shan Liu, Xi’an Jiaotong University, [email protected]

Xiao-Liang Shen, Wuhan University, [email protected]

Submission Deadlines

In the first instance please submit proposals to the guest editors

  • Deadline for submissions: 30 June 2017
  • Notification of acceptance: 31 October 2017
  • Final submissions: 30 November 2017

Author Guidelines

Submissions to Library Hi Tech are made using ScholarOne Manuscripts, the online submission and peer review system. Registration and access are available here. Full information and guidance on using ScholarOne Manuscripts is available at the Emerald ScholarOne Manuscripts Support Centre.

Each paper is reviewed by the Editor and, if it judged suitable for publication, is evaluated using a double-blind peer review process.

The full author guidelines are available here.

About the Journal

Library Hi Tech is an international, double blind peer-reviewed, ISI-listed (2015 Impact Factor is 0.798) journal featuring articles which explore new tools for managing and giving access to information, innovative ways of understanding interactions with users in both digital and hybrid environments, and unconventional approaches to library and information environments.

For more information on the journal visit the homepage.