Factors influencing SMEs CloudERP adoption: A test with generalized linear model and artificial neural network
| Autor: | Murat Akkaya, Ahmad Habahbeh, Samson Oluwaseun Fadiya |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Generalized linear model
Multidisciplinary Artificial neural network Computer science business.industry 05 social sciences Intention to use Usability 02 engineering and technology Machine learning computer.software_genre lcsh:Computer applications to medicine. Medical informatics 0502 economics and business Compatibility (mechanics) 0202 electrical engineering electronic engineering information engineering lcsh:R858-859.7 020201 artificial intelligence & image processing Artificial intelligence business lcsh:Science (General) computer 050203 business & management lcsh:Q1-390 |
| Zdroj: | Data in Brief, Vol 20, Iss, Pp 969-977 (2018) |
| ISSN: | 2352-3409 |
| Popis: | This article present data concerning the factors influencing small and medium-sized enterprises (SMEs) intention to use/adopt CloudERP system in Jordan. Generalized Linear Modeling (GLM) and Artificial Neural Network (ANN) modeling techniques in R version 1.0.136 were used to analyze data obtained from 394 SMEs. Computer self-efficacy, organizational support, perceived usefulness, perceived ease of use, facilitating conditions, security and relative advantage have significant influence on the intention to use/adoption CloudERP systems. The survey data-set is made publicly available to amplify further inquiry. Keywords: CloudERP, Self-efficacy, Organizational support, Complexity, Compatibility, Perceived usefulness, Perceived ease of use, Performance expectancy, Facilitating conditions, Security, Relative advantage, Intention to use |
| Databáze: | OpenAIRE |
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