A novel approach to conduct the importance-satisfaction analysis for acquiring typical user groups in business-intelligence systems

被引:24
作者
Wang, Chih-Hsuan [1 ]
机构
[1] Natl Chiao Tung Univ, Dept Ind Engn & Management, Hsinchu 30013, Taiwan
关键词
Business intelligence; User involvement; Correspondence analysis; Kano model; Importance-satisfaction analysis; PERCEIVED USEFULNESS; CUSTOMER SATISFACTION; PRODUCT CONFIGURATION; SERVICE QUALITY; DESIGN SCIENCE; ERP; PERFORMANCE; MODEL; INTENTION; ACCEPTANCE;
D O I
10.1016/j.chb.2015.08.014
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Business intelligence (BI) is a powerful tool to conduct causality analysis and corporate diagnoses since it provides a data-driven approach to link firms' strategic goals into tactical policies and operational actions. Specifically, BI consists of a series of architectures and techniques like database, data warehousing, and data mining that transform raw data into useful information to provide decision supports. In reality, typical BI user groups involve financial analysts, marketing planners, general managers, field staffs, upstream suppliers, and downstream customers. Inspired by the concept of STP (segmentation-target-positioning) and product family design, BI systems need to be customized to satisfy diverse user groups and tailored to a firm for solving complicated but specific business problems. Consequently, a novel framework is proposed to fulfill the following goals: (1) incorporating user preferences to identify key design features that best fit BI's main segments for achieving customer acquisition, (2) transforming user perceptions into quantitative degrees of satisfaction for accomplishing customer retention, and (3) conducting the importance-satisfaction analysis to generate managerial insights for developing next-generation BI systems. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:673 / 681
页数:9
相关论文
共 37 条
[1]   Perceived usefulness, user involvement and behavioral intention: an empirical study of ERP implementation [J].
Amoako-Gyampah, Kwasi .
COMPUTERS IN HUMAN BEHAVIOR, 2007, 23 (03) :1232-1248
[2]  
BOEHM BW, 1988, COMPUTER, V21, P61, DOI 10.1145/12944.12948
[3]   The relation of interface usability characteristics, perceived usefulness, and perceived ease of use to end-user satisfaction with enterprise resource planning (ERP) systems [J].
Calisir, F ;
Calisir, F .
COMPUTERS IN HUMAN BEHAVIOR, 2004, 20 (04) :505-515
[4]   An empirical study of managers' usage intention in BI [J].
Chang, Yu-Wei ;
Hsu, Ping-Yu ;
Shiau, Wen-Lung .
COGNITION TECHNOLOGY & WORK, 2014, 16 (02) :247-258
[5]  
Chen HC, 2012, MIS QUART, V36, P1165
[6]   User-experience of tablet operating system: An experimental investigation of Windows 8, iOS 6, and Android 4.2 [J].
Chien, Chen-Fu ;
Lin, Kuo-Yi ;
Yu, Annie Pei-I .
COMPUTERS & INDUSTRIAL ENGINEERING, 2014, 73 :75-84
[8]  
Eckerson W., 2003, Smart Companies in the 21st Century: The secret of creating sucessful business intelligent solutions
[9]   Enhancing the Business Value of Business Intelligence: The Role of Shared Knowledge and Assimilation [J].
Elbashir, Mohamed Z. ;
Collier, Philip A. ;
Sutton, Steve G. ;
Davern, Michael J. ;
Leech, Stewart A. .
JOURNAL OF INFORMATION SYSTEMS, 2013, 27 (02) :87-105
[10]   POSITIONING AND PRESENTING DESIGN SCIENCE RESEARCH FOR MAXIMUM IMPACT [J].
Gregor, Shirley ;
Hevner, Alan R. .
MIS QUARTERLY, 2013, 37 (02) :337-+