The current state of decision support in Lithuanian business

被引:0
|
作者
Skyrius, Rimvydas [1 ]
机构
[1] Vilnius State Univ, Fac Econ, Dept Econ Informat, Vilnius, Lithuania
关键词
D O I
暂无
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Introduction. A study of information technology use for decision information needs in the community of Lithuanian business users has been performed to learn about actual ways of using the technology and user attitudes towards its efficiency. Method. A survey has been used to elicit responses from business decision makers and provide insights into the state of support for decision information needs. Analysis. The survey yielded 250 responses on issues of general information needs, environment monitoring, decision making circumstances and information use, and preservation and re-use of decision experience. Results. The respondents confirmed the use of information technology as a problem-solving management tool, positioning its use closer to its known basic strengths. The more sophisticated part of problem-solving functions (detection of important changes, sense-making, creativity) are left to human actors, thus ensuring efficiency and flexibility. Conclusions. The suggested approach for the providers of information services for decision making would be more with less: stressing the proximity of simple support tools and principal information sources to the decision makers and ensuring the convenient use of more sophisticated functionality whenever required.
引用
收藏
页数:41
相关论文
共 50 条
  • [21] Decision Support Based on a Business Intelligence Approach
    Muntean, Mihaela
    [J]. INNOVATION MANAGEMENT AND EDUCATION EXCELLENCE THROUGH VISION 2020, VOLS I -XI, 2018, : 2344 - 2349
  • [22] Special issue: business decision support systems
    Wu, Desheng Dash
    Hall, Jon G.
    [J]. EXPERT SYSTEMS, 2011, 28 (03) : 197 - 198
  • [23] Quantitative analysis with IQAM for business decision support
    Lai, BB
    [J]. PROCEEDINGS OF THE 2004 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION (IRI-2004), 2004, : 594 - 599
  • [24] Decision support and risk management in business context
    Osuszek, Lukasz
    Ledzianowski, Jozef
    [J]. JOURNAL OF DECISION SYSTEMS, 2020, 29 : 413 - 424
  • [25] Mobile decision support and business intelligence: an overview
    Power, Daniel J.
    [J]. JOURNAL OF DECISION SYSTEMS, 2013, 22 (01) : 4 - 9
  • [26] DECISION SUPPORT AND WARNING SYSTEMS FOR BUSINESS INTELLIGENCE
    Lu, Jie
    [J]. UNCERTAINTY MODELING IN KNOWLEDGE ENGINEERING AND DECISION MAKING, 2012, 7 : L5 - L7
  • [27] STATE SUPPORT PRINCIPLES FOR SMALL BUSINESS
    Danakin, N. S.
    Amin, M. Z.
    Divichenko, O. I.
    [J]. JOURNAL OF FUNDAMENTAL AND APPLIED SCIENCES, 2016, 8 : 1879 - 1890
  • [28] Incorporating human factors into decision support models for production and logistics: current state of research
    Grosse, Eric H.
    Calzavara, Matina
    Glock, Christoph H.
    Sgarbossa, Fabio
    [J]. IFAC PAPERSONLINE, 2017, 50 (01): : 6900 - 6905
  • [29] Decision support systems:: Current research
    Ribeiro, RA
    Rodrigues, AJ
    Zaraté, P
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2003, 145 (02) : 231 - 231
  • [30] Inter-Organizational Decision Support Systems for Supply Chain Planning: Current State
    Eom, Sean B.
    [J]. BRIDGING THE SOCIO-TECHNICAL GAP IN DECISION SUPPORT SYSTEMS: CHALLENGES FOR THE NEXT DECADE, 2010, 212 : 419 - 427