Employee readiness for acceptance of decision support systems as a new technology in E-business environments; A proposed research agenda

Fawad Ahmed, Yuanjian Qin, Maurice Aduamoah

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

10 Citations (Scopus)

Abstract

This paper proposes a methodology for application of a conceptual model developed as part of an ongoing doctoral research in a previous paper to investigate the effects of employees' readiness for E-business on technology acceptance with respect to use of a new technology, a state of the art support software helping integrate functions across multiple departments which in turn would be helpful for an improved data-driven decision-making by managers. The proposed research model is based on the empirical study on employee readiness for E-business (EREB) by Lai & Ong and Davis' technology acceptance model (TAM). The data for this study shall be collected from employees of British tourism firms operating additional back-end support offices abroad. The results of the study are expected to show that EREB model has an influence on perceived ease of use and perceived usefulness leading to actual use of technology.

Original languageEnglish
Title of host publication2018 7th International Conference on Industrial Technology and Management, ICITM 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages209-212
Number of pages4
ISBN (Electronic)9781538613290
DOIs
Publication statusPublished - 6 Apr 2018
Externally publishedYes
Event7th International Conference on Industrial Technology and Management, ICITM 2018 - Oxford, United Kingdom
Duration: 7 Mar 20189 Mar 2018

Publication series

Name2018 7th International Conference on Industrial Technology and Management, ICITM 2018
Volume2018-January

Conference

Conference7th International Conference on Industrial Technology and Management, ICITM 2018
Country/TerritoryUnited Kingdom
CityOxford
Period7/03/189/03/18

Keywords

  • change management
  • decision support systems
  • employee readiness
  • perceived usefulness
  • technology acceptance model

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