Calls for Papers (special): Journal of Global Information Management (JGIM)

Special Issue On: Information Management with Big Data Analytics for Performance Improvement in Global Enterprises

Submission Due Date

Guest Editors
Dr. Sang-Bing Tsai, International Engineering and Technology Institute, Hong Kong, (

Dr. Chia-Huei Wu, Minghsin University of Science and Technology, Taiwan, (

Dr. Yang Gao, Hainan University, China, (

Dr. Yuan Yuan, Michigan State University, United States, (

Dr. Gengxin Sun, Qingdao University, China, (

With the acceleration of economic globalization, information is produced at an unprecedented speed. Big data analysis has drastically changed the landscape of information management, and its explosion is affecting the whole world. How to use big data effectively is the goal pursued by modern enterprises’ operation and management. The purpose of big data applications is to collect and analyze the enterprise’s existing and historical data and information to achieve future prediction, market situation assessment, and decision-making performance. The rise of big data is due to the popularization and technological maturity of software and hardware such as social media, mobile phones, sensors, and cloud computing. If enterprises can make good use of big data analysis, capture valuable information and convert it into business opportunities, big data can become the foundation for modern enterprises to formulate organizational operation modes and business strategies, and enterprises can better control and utilize their information assets to improve performance. Enterprises can import big data for information management and then improve their competitive advantage in the market. For example, the recent rise of passenger-carrying Uber uses big data analysis to improve people’s ride experience based on the destination and motivation of passengers. The global coffee shop chain Starbucks launched a mobile APP to collect data to understand customer information, from which it can find the most valuable potential customers for accurate marketing. The American NIKE sportswear brand can provide users with innovative products that combine wearable devices to collect sports data, as well as use big data analysis to gain insight into potential new athletes to act as brand spokespersons and then through their excellent performance in the event, quickly open up product awareness and stand on the market. As mentioned above, enterprises can quickly achieve competitive advantage by collecting a large amount of data and applying the data analysis results to enterprise information management and decision-making.

The main purpose of the SI research is to determine how global enterprises use big data for information management to improve enterprise performance. The SI should mainly include several research directions. The first is the transformation of decision-making thinking; that is, enterprise decision-making should mainly make use of big data analysis, supplemented by personal experience and intuition. The second is how to conduct big data analysis and information management. The third is how to import and interpret data correctly. The fourth is information security and big data management. The SI focuses on the basic strategies, theories, algorithms, and applications of big data in enterprise information management and operation.

Recommended Topics
  • Strategic change in global organizations driven by big data analytics
  • Application scenario and implementation path of big data analysis in enterprise information decision-making
  • Big data and global information assets
  • The impact of big data on the global organization digitalization
  • Innovation and transformation of enterprise management mode under big data environment
  • Big data technologies for enterprise knowledge management and organizational learning
  • The theoretical basis and underlying logic of big data affecting business performance
  • Synergy dilemma and solutions between big data and other information technology resources
  • System design and implementation of big data import and information interpretation
  • Information security and privacy issues of big data applications in global organizations

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Information Management with Big Data Analytics for Performance Improvement in Global Enterprises on or before October 31st, 2023. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations. This is a full open access journal. Authors of manuscripts that are accepted to publish in this special issue will be expected to pay the article processing charge.

Open Access Resources:

All inquiries should be directed to the attention of:
Dr. Sang-Bing Tsai
Guest Editor

Dr. Chia-Huei Wu
Guest Editor

Dr. Yang Gao
Guest Editor

Dr. Yuan Yuan
Guest Editor

Dr. Gengxin Sun
Guest Editor

Journal of Global Information Management (JGIM)