IDEAS home Printed from https://ideas.repec.org/a/ibn/ijbmjn/v11y2016i10p91.html
   My bibliography  Save this article

Determination the Factors that Affect the Use of Enterprise Resource Planning Information System through Technology Acceptance Model

Author

Listed:
  • Akca Yasar
  • Gokhan Ozer

Abstract

In order to survive in today’s global competitive environment, businesses have to use information systems during management and production processes. Technology Acceptance Model (TAM) is developed by Davis (1989). According to this model, the use of a new information system depends on perceived ease of use and perceived usefulness variables. This study analyzes the factors that affect the use of Enterprise Resource Planning (ERP) software, which is an information system, in the frame of TAM variables. 236 companies that use these information systems participated in the survey. It is determined that, eleven independent variables, which are taken into consideration in the scope of user characteristics, innovative characteristics, organizational and environmental characteristics factors, have statistically meaningful and positive effect on perceived ease of use and perceived usefulness which represent TAM parameters. Similarly, it is determined that, perceived ease of use and perceived usefulness have a positive and statistically meaningful effect on the use of ERP.

Suggested Citation

  • Akca Yasar & Gokhan Ozer, 2016. "Determination the Factors that Affect the Use of Enterprise Resource Planning Information System through Technology Acceptance Model," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(10), pages 1-91, September.
    • Handle: RePEc:ibn:ijbmjn:v:11:y:2016:i:10:p:91
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/ijbm/article/download/60015/33841
    Download Restriction: no
    File URL: http://www.ccsenet.org/journal/index.php/ijbm/article/view/60015
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ragu-Nathan, Bhanu S. & Apigian, Charles H. & Ragu-Nathan, T. S. & Tu, Qiang, 2004. "A path analytic study of the effect of top management support for information systems performance," Omega, Elsevier, vol. 32(6), pages 459-471, December.
    2. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Mabert, Vincent A. & Soni, Ashok & Venkataramanan, M. A., 2001. "Enterprise resource planning: common myths versus evolving reality," Business Horizons, Elsevier, vol. 44(3), pages 69-76.
    5. Premkumar, G. & Roberts, Margaret, 1999. "Adoption of new information technologies in rural small businesses," Omega, Elsevier, vol. 27(4), pages 467-484, August.
    6. Subhasish Dasgupta & Mary Granger & Nina McGarry, 2002. "User Acceptance of E-Collaboration Technology: An Extension of the Technology Acceptance Model," Group Decision and Negotiation, Springer, vol. 11(2), pages 87-100, March.
    7. Umble, Elisabeth J. & Haft, Ronald R. & Umble, M. Michael, 2003. "Enterprise resource planning: Implementation procedures and critical success factors," European Journal of Operational Research, Elsevier, vol. 146(2), pages 241-257, April.
    8. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    9. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    10. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    11. Frambach, Ruud T. & Schillewaert, Niels, 2002. "Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research," Journal of Business Research, Elsevier, vol. 55(2), pages 163-176, February.
    12. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    13. Wang, Eric T. G., 2001. "Linking organizational context with structure: a preliminary investigation of the information processing view," Omega, Elsevier, vol. 29(5), pages 429-443, October.
    14. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    15. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 1.
    16. Sheu, Chwen & Chae, Bongsug & Yang, C.-L.Chen-Lung, 2004. "National differences and ERP implementation: issues and challenges," Omega, Elsevier, vol. 32(5), pages 361-371, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hansol Lee & Eunkyung Kweon & Minkyun Kim & Sangmi Chai, 2017. "Does Implementation of Big Data Analytics Improve Firms’ Market Value? Investors’ Reaction in Stock Market," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    2. Pedro R. Palos-Sanchez & José M. Hernandez-Mogollon & Ana M. Campon-Cerro, 2017. "The Behavioral Response to Location Based Services: An Examination of the Influence of Social and Environmental Benefits, and Privacy," Sustainability, MDPI, vol. 9(11), pages 1-21, October.
    3. Ching-Wei Ho & Yu-Bing Wang & Neil Y. Yen, 2015. "Does Environmental Sustainability Play a Role in the Adoption of Smart Card Technology at Universities in Taiwan: An Integration of TAM and TRA," Sustainability, MDPI, vol. 7(8), pages 1-16, August.
    4. Kritana Prueksakorn & Cheng-Xu Piao & Hyunchul Ha & Taehyeung Kim, 2015. "Computational and Experimental Investigation for an Optimal Design of Industrial Windows to Allow Natural Ventilation during Wind-Driven Rain," Sustainability, MDPI, vol. 7(8), pages 1-22, August.
    5. Hualin Xie & Jinlang Zou & Hailing Jiang & Ning Zhang & Yongrok Choi, 2014. "Spatiotemporal Pattern and Driving Forces of Arable Land-Use Intensity in China: Toward Sustainable Land Management Using Emergy Analysis," Sustainability, MDPI, vol. 6(6), pages 1-17, May.
    6. Stephan E. Maurer & Andrei V. Potlogea, 2021. "Male‐biased Demand Shocks and Women's Labour Force Participation: Evidence from Large Oil Field Discoveries," Economica, London School of Economics and Political Science, vol. 88(349), pages 167-188, January.
    7. Tie Hua Zhou & Ling Wang & Keun Ho Ryu, 2015. "Supporting Keyword Search for Image Retrieval with Integration of Probabilistic Annotation," Sustainability, MDPI, vol. 7(5), pages 1-18, May.
    8. T. Karski, 2019. "Opinions and Controversies in Problem of The So-Called Idiopathic Scoliosis. Information About Etiology, New Classification and New Therapy," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 12(5), pages 9612-9616, January.
    9. Sung-Won Park & Sung-Yong Son, 2017. "Cost Analysis for a Hybrid Advanced Metering Infrastructure in Korea," Energies, MDPI, vol. 10(9), pages 1-18, September.
    10. Wesley Mendes-da-Silva, 2020. "What Makes an Article be More Cited?," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 24(6), pages 507-513.
    11. Martin Valtierra-Rodriguez & Juan Pablo Amezquita-Sanchez & Arturo Garcia-Perez & David Camarena-Martinez, 2019. "Complete Ensemble Empirical Mode Decomposition on FPGA for Condition Monitoring of Broken Bars in Induction Motors," Mathematics, MDPI, vol. 7(9), pages 1-19, August.
    12. Julián Miranda & Angélica Flórez & Gustavo Ospina & Ciro Gamboa & Carlos Flórez & Miguel Altuve, 2020. "Proposal for a System Model for Offline Seismic Event Detection in Colombia," Future Internet, MDPI, vol. 12(12), pages 1-17, December.
    13. Wisdom Akpalu & Mintewab Bezabih, 2015. "Tenure Insecurity, Climate Variability and Renting out Decisions among Female Small-Holder Farmers in Ethiopia," Sustainability, MDPI, vol. 7(6), pages 1-16, June.
    14. Wei Chen & Shu-Yu Liu & Chih-Han Chen & Yi-Shan Lee, 2011. "Bounded Memory, Inertia, Sampling and Weighting Model for Market Entry Games," Games, MDPI, vol. 2(1), pages 1-13, March.
    15. David Harborth & Sebastian Pape, 2020. "Empirically Investigating Extraneous Influences on the “APCO” Model—Childhood Brand Nostalgia and the Positivity Bias," Future Internet, MDPI, vol. 12(12), pages 1-16, December.
    16. Ping Wang & Jie Wang & Guiwu Wei & Cun Wei, 2019. "Similarity Measures of q-Rung Orthopair Fuzzy Sets Based on Cosine Function and Their Applications," Mathematics, MDPI, vol. 7(4), pages 1-23, April.
    17. Peterson, Willis L., 1973. "Publication Productivities Of U.S. Economics Department Graduates," Staff Papers 14105, University of Minnesota, Department of Applied Economics.
    18. Taeyeoun Roh & Yujin Jeong & Byungun Yoon, 2017. "Developing a Methodology of Structuring and Layering Technological Information in Patent Documents through Natural Language Processing," Sustainability, MDPI, vol. 9(11), pages 1-19, November.
    19. He-Yau Kang & Amy H. I. Lee & Tzu-Ting Huang, 2016. "Project Management for a Wind Turbine Construction by Applying Fuzzy Multiple Objective Linear Programming Models," Energies, MDPI, vol. 9(12), pages 1-15, December.
    20. Vasilyeva, Olga, 2021. "Agro-food clusters in the Republic of Kazakhstan: assessment and prospects of development," Economic Consultant, Roman I. Ostapenko, vol. 34(2), pages 13-20.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:ijbmjn:v:11:y:2016:i:10:p:91. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.