Determinants of professionally autonomous end user acceptance in an enterprise resource planning system environment

Youngberg, Elaine; Olsen, David; Hauser, Karina

doi:10.1016/j.ijinfomgt.2008.06.001

Cited by 75 publications

(67 citation statements)

References 28 publications

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“…Most of these add other external variables to the original TAM model that are considered to be interesting for the research. Thus, it is frequently used in studies on ERP implementation and use in companies [50,52,[72][73][74][75][76][77][78][79][80][81][82], applications for e-commerce [83], file digitization systems [84], Internet banking [85], mobile social gaming [86], and e-learning platforms [62,[87][88][89][90], among many other sectors.…”

Section: Adoption Modelsmentioning

confidence: 99%

Cloud Computing (SaaS) Adoption as a Strategic Technology: Results of an Empirical Study

Palos-Sánchez

Arenas‐Márquez

Aguayo-Camacho

2017

Mobile Information Systems

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The present study empirically analyzes the factors that determine the adoption of cloud computing (SaaS model) in firms where this strategy is considered strategic for executing their activity. A research model has been developed to evaluate the factors that influence the intention of using cloud computing that combines the variables found in the technology acceptance model (TAM) with other external variables such as top management support, training, communication, organization size, and technological complexity. Data compiled from 150 companies in Andalusia (Spain) are used to test the formulated hypotheses. The results of this study reflect what critical factors should be considered and how they are interrelated. They also show the organizational demands that must be considered by those companies wishing to implement a real management model adopted to the digital economy, especially those related to cloud computing.

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Section: Adoption Modelsmentioning

confidence: 99%

Cloud Computing (SaaS) Adoption as a Strategic Technology: Results of an Empirical Study

Palos-Sánchez

Arenas‐Márquez

Aguayo-Camacho

2017

Mobile Information Systems

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“…This suggests that more significant factors must be included in the model [14,26,27,28]. The TAM model assumes that users have a choice about the extent to which they use the technology.…”

Section: Discussionmentioning

confidence: 99%

End Users and ERP Systems Success Three Models

Mihai¹

2017

The International Conference "The Risk in Contemporary Economy" (Dunarea De Jos University. Faculty of Economics)

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“…(5) With the interaction of space variable W, human capital (p < 0.1%) had a significant positive influence on regional economic development difference. This showed that knowledge spatial spillover and talent flow were becoming the driving force of regional economic difference [56,58]. Especially, the better the geographical location is, the stronger the economic development force is.…”

Section: Extended Model Analysismentioning

confidence: 99%

Spatial–Temporal Modeling for Regional Economic Development: A Quantitative Analysis with Panel Data from Western China

et al. 2017

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Abstract:The objective of this research is to analyze regional economic difference and explore the influencing factors, which would eventually provide an effective foundation to narrow the regional economic differences. In this paper, a new regional economic difference model is established considering the interactions between the spatial weight and human capital and foreign direct investment (FDI). With the panel data from twelve western provinces in China, the empirical research is conducted by adopting feasible generalized least squares (FGLS) fixed effects model. The preliminary results show that: (1) the spatial spillover effect of human capital and FDI is significant to the formation of regional economic difference; and (2) the total capital formation, government expenditure, FDI, human capital and patent application authorization are positively correlated with GDP growth per capita, while the number of medical institutions is negatively correlated with GDP growth per capita. In addition, the robust test is carried out for validation by using the filter variable method, spatial lag model and spatial error model. The robustness test results show that the results of the FGLS fixed effects model are validated by the filter variable method. The other two robust test results show that: (1) the total capital formation and the fixed asset investment is of 99.9% significance, which represents that they play a key role in the formation of economic development difference; and (2) the coefficients' symbols of the other variables are consistent with the FGLS fixed effect model but a little different on the significances, which enhance the effectiveness of the proposed regional economic difference model.

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Determinants of professionally autonomous end user acceptance in an enterprise resource planning system environment

Cited by 75 publications

References 28 publications

Cloud Computing (SaaS) Adoption as a Strategic Technology: Results of an Empirical Study

Cloud Computing (SaaS) Adoption as a Strategic Technology: Results of an Empirical Study

End Users and ERP Systems Success Three Models

Spatial–Temporal Modeling for Regional Economic Development: A Quantitative Analysis with Panel Data from Western China

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