Naslov
Expanding the Technology Acceptance Model for Business and Process Intelligence: Preliminary Research

Autori
Pejić Bach, Mirjana

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Interdisciplinary Studies Abstracts Annual International Conference on Interdisciplinary Studies, 13-16 June 2016, Athens, Greece / Gregory T. Papanikos - Atena : Athens Institute for Education and Research (ATINER), 2016, 53-53

ISBN
978-960-598-068-9

Skup
Annual International Conference on Interdisciplinary Studies

Mjesto i datum
Atena, Grčka, 13.06.2016. - 16.06.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
process intelligence; business intelligence; technology acceptance model

Sažetak
Process intelligence refers to the set of methods and techniques that are used for analysis, prediction, monitoring, control and optimization of business processes, while business intelligence comprises a set of tools to transform data into information and knowledge suitable to support decision-making. In turbulent and globalized economy, the competitiveness of the companies is largely affected by the usage of business and process intelligence systems. The goal of this paper is to present a framework for investigating the usage determinants of the business intelligence and process intelligence systems in companies, by expanding technology acceptance model (TAM). Original TAM is based on the theory of planned behavior, and explores the relationship between perceived usefulness, perceived ease of implementation, intentions to implement and actual system implementation. Our goal is to propose a normative model that expands the basic TAM model by incorporating latent and mediating variables representing the task industry fit, project management culture and top management support. Task industry fit incorporates technology characteristics and industry characteristics, and we presume that it would have the impact to the perceived usefulness of the technology. Project management culture incorporates the change management, knowledge sharing and information quality, and we presume that it would have the impact to the perceived ease of implementation. In addition, we aim to explore to what extent the actual system implementation is determined by the top management support. Proposed model is a basis for developing future research hypothesis, in order to examine the determinants of the BI and BPM systems. Based on the proposed model, research instrument for measuring acceptance of business and process intelligence is presented. Scientific contributions, as well as research limitations of the proposed model are discussed.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti

POVEZANOST RADA