The Experts below are selected from a list of 210765 Experts worldwide ranked by ideXlab platform

Tingpeng Liang - One of the best experts on this subject based on the ideXlab platform.

  • Research landscape of business Intelligence and big data analytics a bibliometrics study
    Expert Systems With Applications, 2018
    Co-Authors: Tingpeng Liang
    Abstract:

    Abstract Business Intelligence that applies data analytics to generate key information to support business decision making, has been an important area for more than two decades. In the last five years, the trend of “Big Data” has emerged and become a core element of Business Intelligence Research. In this article, we review academic literature associated with “Big Data” and “Business Intelligence” to explore the development and Research trends. We use bibliometric methods to analyze publications from 1990 to 2017 in journals indexed in Science Citation Index Expanded (SCIE), Social Science Citation Index (SSCI) and Arts & Humanities Citation Index (AHCI). We map the time trend, disciplinary distribution, high-frequency keywords to show emerging topics. The findings indicate that Computer Science and management information systems are two core disciplines that drive Research associated with Big Data and Business Intelligence. “Data mining”, “social media” and “information system” are high frequency keywords, but “cloud computing”, “data warehouse” and “knowledge management” are more emphasized after 2016.

Wang Hongxin - One of the best experts on this subject based on the ideXlab platform.

Hsinchun Chen - One of the best experts on this subject based on the ideXlab platform.

  • business Intelligence and analytics from big data to big impact
    Management Information Systems Quarterly, 2012
    Co-Authors: Hsinchun Chen, Roger H L Chiang, Veda C Storey
    Abstract:

    Business Intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and Researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging Research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current Research in BI&A is analyzed and challenges and opportunities associated with BI&A Research and education are identified. We also report a bibliometric study of critical BI&A publications, Researchers, and Research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A Research framework.

  • Social media analytics and Intelligence
    IEEE Intelligent Systems, 2010
    Co-Authors: Daniel Zeng, Robert Lusch, Hsinchun Chen, Shu Hsing Li
    Abstract:

    In a broad sense, social media refers to a conversational, distributed mode of content generation, dissemination, and communication among communities. Different from broadcast-based traditional and industrial media, social media has torn down the boundaries between authorship and readership, while the information consumption and dissemination process is becoming intrinsically intertwined with the process of generating and sharing information. This special issue samples the state of the art in social media analytics and Intelligence Research that has direct relevance to the AI subfield from either an methodological or domain perspective.

Veda C Storey - One of the best experts on this subject based on the ideXlab platform.

  • business Intelligence and analytics from big data to big impact
    Management Information Systems Quarterly, 2012
    Co-Authors: Hsinchun Chen, Roger H L Chiang, Veda C Storey
    Abstract:

    Business Intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and Researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging Research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current Research in BI&A is analyzed and challenges and opportunities associated with BI&A Research and education are identified. We also report a bibliometric study of critical BI&A publications, Researchers, and Research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A Research framework.

Xiang Ping - One of the best experts on this subject based on the ideXlab platform.