Connected IT Usage and Trade Show Effectiveness: Developing to Smart Trade Show
Article No.: 37, Pages 1 - 8
Abstract
This study evaluates the salient factors of connected information technology (IT) usage (pre and on usage) in Trade Shows(TSs). The IT Usage of TSs has been actively developed by exhibitors and organizers in order to provide attendees with effectiveness and satisfaction. Due to the use of IT, these TSs operate somewhat effectively and cooperate with other transactions. TSs should consider effectiveness as a multidimensional circumstance, including pre and on usage of IT are adapted to managing effectiveness. Based on a literature review, the present article conceptualizes the `Smart Trade Show' and describes relationship within the construct, connected IT usage in TS context. The relationship between the connected IT usage and visitors' satisfaction also was measured. The article explores three factors of pre usage of IT from the DeLone and Mclean IS Success Model(Information Quality, System Quality, Service Quality) and four factors of on usage of IT from the Product Intelligence Theory(ability to cooperate, reactivity, humanlike interaction, personality). Little empirical research has been generated with respect to the relationships with connected IT usage and visitors' effectiveness and satisfaction. The article considers practical and theoretical implications and identifies future research directions.
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Index Terms
- Connected IT Usage and Trade Show Effectiveness: Developing to Smart Trade Show
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Information & Contributors
Information
Published In
August 2015
268 pages
ISBN:9781450334617
DOI:10.1145/2781562
- Conference Chairs:
- Jae Kyu Lee,
- Robert J. Kauffman,
- Zoonky Lee,
- Karl R. Lang,
- Program Chairs:
- Byungjoon Yoo,
- Ting Li
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- KRF: Korea Research Foundation
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Association for Computing Machinery
New York, NY, United States
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Published: 03 August 2015
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ICEC '15
ICEC '15: The 17th International Conference on Electronic Commerce 2015
August 3 - 5, 2015
Seoul, Republic of Korea
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ICEC '15 Paper Acceptance Rate 39 of 55 submissions, 71%;
Overall Acceptance Rate 150 of 244 submissions, 61%
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