Erp System Adoption Determinants

Aini, Suci Nur; Isnalita,

doi:10.31093/jraba.v3i2.124

Cited by 4 publications

(9 citation statements)

References 16 publications

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“…Organisations that understand which factors influence ERP users' satisfaction can influence users' extended use (ExU) of the ERP system and thus attain organisations' better results and returns (Hsieh & Wang, 2007;Hsu et al, 2015;Sternad & Bobek, 2014). This differs in different cultural environments (Annamalai & Ramayah, 2013;Hancerliogullari Koksalmis & Damar, 2019;Isnalita, 2018;Krumbholz et al, 2000;Leidner & Kayworth, 2006;Rajan & Baral, 2015;Scholtz, Mahmud & Ramayah, 2016;Stuart et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

“…When reviewing past ERP literature studies regarding TAM, we found that different studies have researched ERP acceptance by users (Huang & Yasuda, 2016;Schlichter & Kraemmergaard, 2010). They have researched different issues of ERP use and have been focused on a small (limited) number of factors that have an influence on ERP acceptance in different phases of an ERP system life-cycle (Alhadi & Al-Shaibany, 2017;Amoako-Gyampah & Salam, 2004;Bazhair & Sandhu, 2015;Bradley & Lee, 2007;Bueno & Salmeron, 2008;Calisir et al, 2009;Hancerliogullari Koksalmis & Damar, 2019;Hsieh & Wang, 2007;Isnalita, 2018;Kwahk & Lee, 2008;Lee et al, 2010;Mayeh et al, 2016;Nah et al, 2004;Sun et al, 2009;Uzoka et al, 2008;Youngberg et al, 2009;Weli, 2019).…”

Section: Theoretical Background and Conceptual Research Modelmentioning

confidence: 99%

“…Organisational users use ERP systems to perform specific tasks and accelerate organisational work; because of that, it is important to examine the role of organisational work in ERP usage. ERP systems must be used by organisational workers where one user's tasks on the ERP system are tightly integrated with other users' tasks (Hsu et al, 2009;Isnalita, 2018;Nah et al, 2004;Rajan & Baral, 2015). In other words, ERP users generally cannot choose whether or not to use the ERP system, regardless of their attitude.…”

Section: Theoretical Background and Conceptual Research Modelmentioning

confidence: 99%

“…Schlichter and Kraemmergaard (2010), in their comprehensive research of 885 peer-reviewed abstracts of journals from 2000 to 2009, also revealed research regarding optimisation of ERP systems, in which post-implementation, usefulness, achievement of competitive advantage through ERP, ERP users and financial benefits of ERP systems should be considered. Also, many other authors pointed out the problem of low exploitation of ERP systems, i.e., users don't use the implemented ERP solution to the advanced level (Bradford, 2008;Bueno & Salmeron, 2008;Calisir et al, 2009;Costa et al, 2016;Hancerliogullari Koksalmis & Damar, 2019;Hsieh & Wang, 2007;Isnalita, 2018;Kwahk & Lee, 2008;Rajan & Baral, 2015;Scholtz, Mahmud, & Ramayah, 2016;Uzoka et al, 2008). We are researching what problem is causing the differences.…”

Section: Introductionmentioning

confidence: 99%

“…In fact, they have become the de facto standard for the replacement of legacy IS not only in large organisations, particularly multinationals, but over the last several years in small and medium-size organisations. As several studies have revealed, a common reason for ERP failures can be attributed to users' reluctance and unwillingness to adopt and to use an implemented ERP system (Hancerliogullari Koksalmis & Damar, 2019;Huang & Yasuda, 2016;Isnalita, 2018;Nah et al, 2004;Rajan & Baral, 2015;Schlichter & Kraemmergaard, 2010;Umble et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Technology acceptance model-based research on differences of enterprise resources planning systems use in India and the European Union

Zabukovšek

Bharadwaj

Bobek

et al. 2019

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The adoption of Enterprise resource planning (ERP) systems by organizations is crucial in today’s competitive globalized marketplace. The experience with ERP systems in numerous organizations over the last decade indicates that a successful implementation of ERP systems does not necessarily lead to a successful ERP usage. This paper addresses the scientific problem of differences in ERP acceptance and utilization in different cultural environments. The research question was whether and to what extend users’ extensive and explorative use of the ERP system differs in regions with different cultural backgrounds. Namely, organizations benefit from ERP systems only to the extent to which the users accept and utilize them. But the use of ERP systems at an advanced level is closely connected with the employees’ acceptance of these systems. To improve the efficiency and effectiveness of ERP systems in their maturity stage of use, when the employees already accepted ERP system, organizations need to understand the factors that impact user satisfaction and thus influence their extended use of the ERP system. Because of the socio-economic importance of India and the European Union (EU), we conducted a comparative research study into the similarities and differences of their use of ERP systems. From a theoretical point of view, the paper extends the original technology acceptance model (TAM), where two additional factors (work compatibility and extended use) were added. Additional external factors which can influence the users’ acceptance of ERP systems have been included into research, too. The main objective of this study is to find the key determinants that have an impact on user satisfaction and on the extended use in different cultural environments (i.e. the EU and India). We analysed and compared the data of 293 ERP users from 44 organizations in the EU and 577 ERP users from 13 organizations in India. Even though the use of ERP systems in India and the EU is at the same advanced level, there are differences which are connected to organizational cultures, presumed resulting from cultural differences of researched regions. Research data show some differences in the impacts on extended TAM model factors and some differences regarding the impacts of external factors researched.

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Section: Discussionmentioning

confidence: 99%

Section: Theoretical Background and Conceptual Research Modelmentioning

confidence: 99%

Section: Theoretical Background and Conceptual Research Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Technology acceptance model-based research on differences of enterprise resources planning systems use in India and the European Union

Zabukovšek

Bharadwaj

Bobek

et al. 2019

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An Exploration of Enterprise Resource Planning Systems Success Measurement Model

Oktavia

2020

JRAAM

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Tanggal masuk 10-09-2019The aim of this research is to explore and confirm whether the measurement instrument proposed by Ifinedo was a better fit for assessing ERP success in Indonesia using the factor analysis. Data analysis was performed using 6 dimensions with 47 variables tested.The results show that 4 dimensions do not match the evaluation. Elimination and retesting are needed to build a new assessment instrument. The results of this study are expected to help organizations choose the most ideal measurement model of their ERP systems.

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Enhancing PLS-SEM-Enabled Research with ANN and IPMA: Research Study of Enterprise Resource Planning (ERP) Systems’ Acceptance Based on the Technology Acceptance Model (TAM)

et al. 2022

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PLS-SEM has been used recently more and more often in studies researching critical factors influencing the acceptance and use of information systems, especially when the technology acceptance model (TAM) is implemented. TAM has proved to be the most promising model for researching different viewpoints regarding information technologies, tools/applications, and the acceptance and use of information systems by the employees who act as the end-users in companies. However, the use of advanced PLS-SEM techniques for testing the extended TAM research models for the acceptance of enterprise resource planning (ERP) systems is scarce. The present research aims to fill this gap and aims to show how PLS-SEM results can be enhanced by advanced techniques: artificial neural network analysis (ANN) and Importance–Performance Matrix Analysis (IPMA). ANN was used in this research study to overcome the limitations of PLS-SEM regarding the linear relationships in the model. IPMA was used in evaluating the importance and performance of factors/drivers in the SEM. From the methodological point of view, results show that the research approach with ANN artificial intelligence complements the results of PLS-SEM while allowing the capture of nonlinear relationships between the variables of the model and the determination of the relative importance of each factor studied. On other hand, IPMA enables the identification of factors with relatively low performance but relatively high importance in shaping dependent variables.

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Erp System Adoption Determinants

Cited by 4 publications

References 16 publications

Technology acceptance model-based research on differences of enterprise resources planning systems use in India and the European Union

Technology acceptance model-based research on differences of enterprise resources planning systems use in India and the European Union

An Exploration of Enterprise Resource Planning Systems Success Measurement Model

Enhancing PLS-SEM-Enabled Research with ANN and IPMA: Research Study of Enterprise Resource Planning (ERP) Systems’ Acceptance Based on the Technology Acceptance Model (TAM)

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