Encouraging the use of self-service business intelligence - an examination of employee-related influencing factors

被引:13
作者
Passlick, Jens [1 ]
Guhr, Nadine [1 ]
Lebek, Benedikt [2 ]
Breitner, Michael H. [1 ]
机构
[1] Leibniz Univ Hannover, Informat Syst Inst, Hannover, Germany
[2] Continental Tires, Business Syst, Hannover, Germany
关键词
Self-service business intelligence; intention to use; structural equation modelling; contribution to information needs; EFFECT SIZE; INFORMATION; FLEXIBILITY; MODELS; IMPACT; USAGE;
D O I
10.1080/12460125.2020.1739884
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
This study examines which factors influence the use of self-service business intelligence (SSBI) applications. To analyse the interdependencies, we develop a structural equation model (SEM) and test it by surveying potential users of SSBI across different sectors. The SEM shows that the intention to use is significantly influenced by the expected contribution of SSBI to information needs, which is significantly influenced by business intelligence (BI) experience, SSBI flexibility, SSBI expected time savings and the importance of data quality. The perceived attention of a company to data quality has a significant negative influence on the intention to use. These results imply that the mere introduction of SSBI is not sufficient for successful use. Training on how to use SSBI and how SSBI can change individual ways of working are important components. A well-designed concept for ensuring data quality also promotes the intention to use. In addition, we found that the utilitarian value is independent of the decision environment.
引用
收藏
页码:1 / 26
页数:26
相关论文
共 63 条
  • [1] Fusion Cubes: Towards Self-Service Business Intelligence
    Abello, Alberto
    Darmont, Jerome
    Etcheverry, Lorena
    Golfarelli, Matteo
    Mazon, Jose-Norberto
    Naumann, Felix
    Pedersen, Torben Bach
    Rizzi, Stefano
    Trujillo, Juan
    Vassiliadis, Panos
    Vossen, Gottfried
    [J]. INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING, 2013, 9 (02) : 66 - 88
  • [2] THE THEORY OF PLANNED BEHAVIOR
    AJZEN, I
    [J]. ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, 1991, 50 (02) : 179 - 211
  • [3] Ajzen I., 1985, UNDERSTANDING ATTITU, P11, DOI [10.1007/978-3-642-69746-3_2, DOI 10.1007/978-3-642-69746-3_2]
  • [4] Self-Service Business Intelligence
    Alpar, Paul
    Schulz, Michael
    [J]. BUSINESS & INFORMATION SYSTEMS ENGINEERING, 2016, 58 (02) : 151 - 155
  • [5] [Anonymous], 2009, INFORM MANAGEMENT SP
  • [6] ESTIMATING NONRESPONSE BIAS IN MAIL SURVEYS
    ARMSTRONG, JS
    OVERTON, TS
    [J]. JOURNAL OF MARKETING RESEARCH, 1977, 14 (03) : 396 - 402
  • [7] Bani-Hani I., 2017, P 32 AM C INF SYST A
  • [8] A holistic view of value generation process in a SSBI environment: a service dominant logic perspective
    Bani-Hani, Imad
    Pareigis, Jorg
    Tona, Olgerta
    Carlsson, Sven
    [J]. JOURNAL OF DECISION SYSTEMS, 2018, 27 : 46 - 55
  • [9] From an information consumer to an information author: a new approach to business intelligence
    Bani-Hani, Imad
    Tona, Olgerta
    Carlsson, Sven
    [J]. JOURNAL OF ORGANIZATIONAL COMPUTING AND ELECTRONIC COMMERCE, 2018, 28 (02) : 157 - 171
  • [10] Hierarchical Latent Variable Models in PLS-SEM: Guidelines for Using Reflective-Formative Type Models
    Becker, Jan-Michael
    Klein, Kristina
    Wetzels, Martin
    [J]. LONG RANGE PLANNING, 2012, 45 (5-6) : 359 - 394