Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

Expanding the Technology Acceptance Model for Business and Process Intelligence: Preliminary Research (CROSBI ID 636925)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija

Pejić Bach, Mirjana Expanding the Technology Acceptance Model for Business and Process Intelligence: Preliminary Research // Interdisciplinary Studies Abstracts Annual International Conference on Interdisciplinary Studies, 13-16 June 2016, Athens, Greece / Gregory T. Papanikos (ur.). Atena: Athens Institute for Education and Research (ATINER), 2016. str. 53-53

Podaci o odgovornosti

Pejić Bach, Mirjana

engleski

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

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.

process intelligence; business intelligence; technology acceptance model

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

53-53.

2016.

objavljeno

Podaci o matičnoj publikaciji

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)

978-960-598-068-9

Podaci o skupu

Annual International Conference on Interdisciplinary Studies

predavanje

13.06.2016-16.06.2016

Atena, Grčka

Povezanost rada

Ekonomija, Informacijske i komunikacijske znanosti

Poveznice