IDEAS home Printed from https://ideas.repec.org/a/gam/jscscx/v7y2018i10p180-d172732.html
   My bibliography  Save this article

Do Female Employees at Small and Medium Enterprises Perceive Open Source Software Usefulness and Satisfaction Differently from Male Employees? A Survey Analysis

Author

Listed:
  • Sanghyun Kim

    (School of Bus Admin, Kyungpook National University, Daegu 41566, Korea)

  • Hyunsun Park

    (School of Bus Admin, Kyungpook National University, Daegu 41566, Korea)

Abstract

Many companies, particularly small and medium enterprises (SMEs), use open source software (OSS) to promote the strategic application of their information technology assets. Several studies have claimed that male and female employees in SMEs differ in their use of various information technologies. This study investigates the factors influencing the perceived usefulness of and satisfaction with OSS among employees at SMEs in various industries, specifically comparing male and female employee perceptions. For this purpose, this study uses a proposed research model to examine the effects of quality factors—such as ease of maintenance, cost advantage, customization, and job relevance—on perceived usefulness of and satisfaction with OSS. Data were collected from 328 randomly selected survey responses of employees in various organizations using OSS. A structural equational model was created using AMOS 22.0 to test the proposed hypotheses in the research model. Results show that all OSS quality factors were significantly related to the perceived usefulness of OSS in both genders, positively affecting satisfaction. Moreover, the perceptions of male and female employees differed in relation to each research model variable. These findings suggest that employees value specific OSS qualities while perceiving its usefulness and their satisfaction.

Suggested Citation

  • Sanghyun Kim & Hyunsun Park, 2018. "Do Female Employees at Small and Medium Enterprises Perceive Open Source Software Usefulness and Satisfaction Differently from Male Employees? A Survey Analysis," Social Sciences, MDPI, vol. 7(10), pages 1-17, September.
    • Handle: RePEc:gam:jscscx:v:7:y:2018:i:10:p:180-:d:172732
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2076-0760/7/10/180/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2076-0760/7/10/180/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter B. Seddon, 1997. "A Respecification and Extension of the DeLone and McLean Model of IS Success," Information Systems Research, INFORMS, vol. 8(3), pages 240-253, September.
    2. Teo, Thompson S. H. & Lim, Vivien K. G. & Lai, Raye Y. C., 1999. "Intrinsic and extrinsic motivation in Internet usage," Omega, Elsevier, vol. 27(1), pages 25-37, February.
    3. James E. Bailey & Sammy W. Pearson, 1983. "Development of a Tool for Measuring and Analyzing Computer User Satisfaction," Management Science, INFORMS, vol. 29(5), pages 530-545, May.
    4. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    5. Rice, Ronald E. & Katz, James E., 0. "Comparing internet and mobile phone usage: digital divides of usage, adoption, and dropouts," Telecommunications Policy, Elsevier, vol. 27(8-9), pages 597-623, September.
    6. van Riel, A.C.R. & Liljander, V.M. & Lemmink, J.G.A.M. & Streukens, A.C.P., 2003. "Boost customer loyalty with online support: the case of mobile telecoms providers," Research Memorandum 014, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    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. Sanduni I. Senaratne & Samantha M. Samarasinghe, 2019. "Factors Affecting the Intention to Adopt M-Learning," International Business Research, Canadian Center of Science and Education, vol. 12(2), pages 150-164, February.
    2. Nripendra P. Rana & Yogesh K. Dwivedi & Michael D. Williams & Vishanth Weerakkody, 2015. "Investigating success of an e-government initiative: Validation of an integrated IS success model," Information Systems Frontiers, Springer, vol. 17(1), pages 127-142, February.
    3. Vicki McKinney & Kanghyun Yoon & Fatemeh “Mariam” Zahedi, 2002. "The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach," Information Systems Research, INFORMS, vol. 13(3), pages 296-315, September.
    4. Brown, Susan A. & Venkatesh, Viswanath & Kuruzovich, Jason & Massey, Anne P., 2008. "Expectation confirmation: An examination of three competing models," Organizational Behavior and Human Decision Processes, Elsevier, vol. 105(1), pages 52-66, January.
    5. Kwahk, Kee-Young & Ahn, Hyunchul & Ryu, Young U., 2018. "Understanding mandatory IS use behavior: How outcome expectations affect conative IS use," International Journal of Information Management, Elsevier, vol. 38(1), pages 64-76.
    6. Huang, Tony Cheng-Kui & Liu, Chuang-Chun & Chang, Dong-Cheng, 2012. "An empirical investigation of factors influencing the adoption of data mining tools," International Journal of Information Management, Elsevier, vol. 32(3), pages 257-270.
    7. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    8. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    9. Un-Kon Lee, 2017. "International Tourism Advertisements on Social Media: Impact of Argument Quality and Source," Sustainability, MDPI, vol. 9(9), pages 1-18, August.
    10. Oghuma, Apollos Patricks & Chang, Younghoon & Libaque-Saenz, Christian Fernando & Park, Myeong-Cheol & Rho, Jae Jeung, 2015. "Benefit-confirmation model for post-adoption behavior of mobile instant messaging applications: A comparative analysis of KakaoTalk and Joyn in Korea," Telecommunications Policy, Elsevier, vol. 39(8), pages 658-677.
    11. Eymann, Torsten (Ed.), 2009. "Tagungsband zum Doctoral Consortium der WI 2009 [WI2009 Doctoral Consortium Proceedings]," Bayreuth Reports on Information Systems Management 40, University of Bayreuth, Chair of Information Systems Management.
    12. Nurlia Dewi & Willy Abdillah & Muhartini Salim & Slamet Widodo, 2021. "The Role of Leadership in Implementation Public Information System of Local Government Institutions in Indonesia," International Review of Management and Marketing, Econjournals, vol. 11(6), pages 1-9.
    13. Sharath Sasidharan & Radhika Santhanam & Daniel J. Brass & Vallabh Sambamurthy, 2012. "The Effects of Social Network Structure on Enterprise Systems Success: A Longitudinal Multilevel Analysis," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 658-678, September.
    14. Driediger, Fabian & Bhatiasevi, Veera, 2019. "Online grocery shopping in Thailand: Consumer acceptance and usage behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 224-237.
    15. Xiaomo Liu & G. Alan Wang & Weiguo Fan & Zhongju Zhang, 2020. "Finding Useful Solutions in Online Knowledge Communities: A Theory-Driven Design and Multilevel Analysis," Information Systems Research, INFORMS, vol. 31(3), pages 731-752, September.
    16. Muhammad Athar Nadeem & Zhiying Liu & Abdul Hameed Pitafi & Amna Younis & Yi Xu, 2021. "Investigating the Adoption Factors of Cryptocurrencies—A Case of Bitcoin: Empirical Evidence From China," SAGE Open, , vol. 11(1), pages 21582440219, March.
    17. Edgardo Bravo Orellana, 2015. "Automating and Informating: Roles to Examine in Technology’s Impact on Performance," Working Papers 15-17, Centro de Investigación, Universidad del Pacífico.
    18. Kasilingam, Dharun Lingam, 2020. "Understanding the attitude and intention to use smartphone chatbots for shopping," Technology in Society, Elsevier, vol. 62(C).
    19. Chen Wei, 2021. "The influence of Consumers’ Purchase intention on Smart Wearable Device: A study of Consumers in East China," International Journal of Science and Business, IJSAB International, vol. 5(8), pages 46-72.
    20. Sanghyun Kim & Gary Garrison, 2009. "Investigating mobile wireless technology adoption: An extension of the technology acceptance model," Information Systems Frontiers, Springer, vol. 11(3), pages 323-333, July.

    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:gam:jscscx:v:7:y:2018:i:10:p:180-:d:172732. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.