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The determinants of the adoption and application of business intelligence : an ERP perspective

TLDR
In this paper, the authors investigated factors affecting the successful adoption of BIDSA in Australian ERP user organizations by applying Rogers' theory of Diffusion of Innovations (DOI), and developed a conceptual model for the successful implementation of BIDSSA.
Abstract
Business intelligence, as a decision support tool in many organisations, has offered the ability to gather, store, access and analyse huge amounts of data so that better decisions can be made regarding customers, suppliers, employees, logistics and infrastructure Prior empirical studies of business intelligence and decision support applications (BIDSA) focus on technological and operational aspects and there is very little research to consider managerial and strategic factors The factors that affect the adoption of BIDSA have, however, not yet been fully investigated Differences in the use of information technology (IT) have been distinguished in different countries and so it is necessary to conduct a comprehensive study about the facilitating and inhibiting factors in the adoption and diffusion of BIDSA in Australia The aim of this study was thus to fill the gap by investigating factors affecting the successful adoption of BIDSA in Australian ERP user organisations by applying Rogers’ theory of Diffusion of Innovations (DOI), and to develop a conceptual model for the successful adoption of BIDSA

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People's Democratic Republic of Algeria Ministry of Higher Education and Scientific Research

TL;DR: This paper found that there is an association between the learners' level of understanding of the jokes and their exposure to culture and found that high exposure to the foreign language culture has anything to do with the learner's level of understand of jokes.
Proceedings Article

Adaptive Business Intelligence Based on Evolution Strategies: Some Application Examples of Self-Adaptive Software.

TL;DR: In this paper, a basic algorithmic variant of evolution strategies is outlined, where self-adaptivity enables the algorithm to dynamically adapt to the problem characteristics and even to cope with changing environmental conditions in many real-world business applications.

The Impact of Enterprise Resource Planning Systems on Organizational Effectiveness

TL;DR: The evaluation shows that ERP systems support effectiveness criteria (such as control and productivity), related to internal process and rational goal models, and points out weaknesses inERP systems and especially in areas related to human relations and open systems models.
Journal ArticleDOI

Measuring the success of business-intelligence systems in South Africa: An empirical investigation applying the DeLone and McLean Model

TL;DR: In this paper, the authors identify post implementation factors that contribute to the success of BIS in South African organisations and provide insights for both managers and practitioners on the factors to focus on when implementing BIS thereby minimising the adoption risks associated with BI failures.
References
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Book

Case Study Research: Design and Methods

Robert K. Yin
TL;DR: In this article, buku ini mencakup lebih dari 50 studi kasus, memberikan perhatian untuk analisis kuantitatif, membahas lebah lengkap penggunaan desain metode campuran penelitian, and termasuk wawasan metodologi baru.
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Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives

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Principles and Practice of Structural Equation Modeling

TL;DR: The book aims to provide the skills necessary to begin to use SEM in research and to interpret and critique the use of method by others.

Perceived Usefulness, Perceived Ease of Use, and User

TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
Journal ArticleDOI

Perceived usefulness, perceived ease of use, and user acceptance of information technology

TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
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