IDEAS home Printed from https://ideas.repec.org/a/igg/jebr00/v17y2021i2p1-24.html
   My bibliography  Save this article

“Smart Home Sweet Smart Home”: An Examination of Smart Home Acceptance

Author

Listed:
  • Davit Marikyan

    (Business School, Newcastle University, UK)

  • Savvas Papagiannidis

    (Business School, Newcastle University, UK)

  • Eleftherios Alamanos

    (Business School, Newcastle University, UK)

Abstract

Technology acceptance in private spaces has not received much attention, although users' behaviour may be different due to the space in which usage takes place. To address this gap, the present study proposed a model exploring individuals' values, users' perception of technology performance and attitudinal beliefs in relation to use behaviour and satisfaction when using smart technologies in their homes. The study employed a sample of 422 participants in the USA. Structural equation modelling was utilised to test the proposed hypotheses. The model provided robust results explaining factors underpinning the use of pervasive technology in private settings. Specifically, the study showed that hedonic and utilitarian beliefs are critical for the perception of task fit, whereas privacy and financial factors were found to be not significant. The fit between tasks and technology demonstrated a significant role in predicting perceived usefulness, perceived ease of use, use behaviour, and satisfaction. Lastly, use behaviour showed a positive correlation with satisfaction.

Suggested Citation

  • Davit Marikyan & Savvas Papagiannidis & Eleftherios Alamanos, 2021. "“Smart Home Sweet Smart Home”: An Examination of Smart Home Acceptance," International Journal of E-Business Research (IJEBR), IGI Global, vol. 17(2), pages 1-24, April.
    • Handle: RePEc:igg:jebr00:v:17:y:2021:i:2:p:1-24
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEBR.2021040101
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert M. Fuller & Alan R. Dennis, 2009. "Does Fit Matter? The Impact of Task-Technology Fit and Appropriation on Team Performance in Repeated Tasks," Information Systems Research, INFORMS, vol. 20(1), pages 2-17, March.
    2. Amresh Kumar & Pallab Sikdar & Md. Moddassir Alam, 2016. "E-Retail Adoption in Emerging Markets: Applicability of an Integrated Trust and Technology Acceptance Model," International Journal of E-Business Research (IJEBR), IGI Global, vol. 12(3), pages 44-67, July.
    3. Dale L. Goodhue, 1995. "Understanding User Evaluations of Information Systems," Management Science, INFORMS, vol. 41(12), pages 1827-1844, December.
    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. John D'Ambra & Concepción S. Wilson & Shahriar Akter, 2013. "Application of the task-technology fit model to structure and evaluate the adoption of E-books by Academics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 48-64, January.
    2. Marikyan, Davit & Papagiannidis, Savvas & Rana, Omer F. & Ranjan, Rajiv & Morgan, Graham, 2022. "“Alexa, let’s talk about my productivity”: The impact of digital assistants on work productivity," Journal of Business Research, Elsevier, vol. 142(C), pages 572-584.
    3. Stefan Seebacher & Ronny Schüritz & Gerhard Satzger, 2021. "Towards an understanding of technology fit and appropriation in business networks: evidence from blockchain implementations," Information Systems and e-Business Management, Springer, vol. 19(1), pages 183-204, March.
    4. Samer Ali Al-shami & Salem Aldahmani & Massila Kamalrudin & Nabil Hasan Al-Kumaim & Abdullah Al Mamun & Mohammed Al-shami & Mustafa Musa Jaber, 2022. "A Model of Motivational and Technological Factors Influencing Massive Open Online Courses’ Continuous Intention to Use," Sustainability, MDPI, vol. 14(15), pages 1-23, July.
    5. Hemant K. Bhargava & Abhay Nath Mishra, 2014. "Electronic Medical Records and Physician Productivity: Evidence from Panel Data Analysis," Management Science, INFORMS, vol. 60(10), pages 2543-2562, October.
    6. repec:jtr:journl:v:4:y:2012:i:1:p:12-37 is not listed on IDEAS
    7. Shahbaz, Muhammad & Gao, Changyuan & Zhai, LiLi & Shahzad, Fakhar & Khan, Imran, 2021. "Environmental air pollution management system: Predicting user adoption behavior of big data analytics," Technology in Society, Elsevier, vol. 64(C).
    8. Arun Rai & Sandra S. Lang & Robert B. Welker, 2002. "Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis," Information Systems Research, INFORMS, vol. 13(1), pages 50-69, March.
    9. Shahzad, Khuram & Zhang, Qingyu & Zafar, Abaid Ullah & Ashfaq, Muhammad & Rehman, Shafique Ur, 2023. "The role of blockchain-enabled traceability, task technology fit, and user self-efficacy in mobile food delivery applications," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    10. Wang, Xun & Rodrigues, Vasco Sanchez & Demir, Emrah & Sarkis, Joseph, 2024. "Algorithm aversion during disruptions: The case of safety stock," International Journal of Production Economics, Elsevier, vol. 278(C).
    11. Deborah Compeau & Barbara Marcolin & Helen Kelley & Chris Higgins, 2012. "Research Commentary ---Generalizability of Information Systems Research Using Student Subjects---A Reflection on Our Practices and Recommendations for Future Research," Information Systems Research, INFORMS, vol. 23(4), pages 1093-1109, December.
    12. Norbert Koppenhagen & Benjamin Mueller & Alexander Maedche & Ye Li & Stephanie Hiller, 2016. "Designing a supply network artifact for data, process, and people integration," Information Systems and e-Business Management, Springer, vol. 14(3), pages 613-636, August.
    13. Brooks, Patti & El-Gayar, Omar & Sarnikar, Surendra, 2015. "A framework for developing a domain specific business intelligence maturity model: Application to healthcare," International Journal of Information Management, Elsevier, vol. 35(3), pages 337-345.
    14. Thuy Duong Oesterreich & Eduard Anton & Julian Schuir & Alexander Brehm & Frank Teuteberg, 2023. "How can I help you? Design principles for task-oriented speech dialog systems in customer service," Information Systems and e-Business Management, Springer, vol. 21(1), pages 37-79, March.
    15. Peter Verhoeven & Florian Sinn & Tino T. Herden, 2018. "Examples from Blockchain Implementations in Logistics and Supply Chain Management: Exploring the Mindful Use of a New Technology," Logistics, MDPI, vol. 2(3), pages 1-19, September.
    16. Jan A. Kempkes & Francesco Suprano & Andreas Wömpener, 2024. "How management support systems affect job performance: a systematic literature review and research agenda," Management Review Quarterly, Springer, vol. 74(4), pages 2013-2086, December.
    17. Slamet Soedarsono & Sri Mulyani & Hiro Tugiman & Didik Suhardi, 2019. "Information Quality and Management Support as Key Factors in the Applications of Continuous Auditing and Continuous Monitoring: An Empirical Study in the Government Sector of Indonesia," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 13(3), September.
    18. Thomas Gackstatter & Benedikt Müller-Stewens & Klaus Möller, 2019. "Effective accounting processes: the role of formal and informal controls," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 30(2), pages 131-152, July.
    19. Vijeta Singh & Puja Padhi, 2015. "Information and Communication Technology in Microfinance Sector: Case Study of Three Indian MFIs," IIM Kozhikode Society & Management Review, , vol. 4(2), pages 106-123, July.
    20. Zhaojun Yang & Jun Sun & Yali Zhang & Ying Wang, 2018. "Peas and carrots just because they are green? Operational fit between green supply chain management and green information system," Information Systems Frontiers, Springer, vol. 20(3), pages 627-645, June.
    21. Gao Changchun & Muhammad Jamal Haider & Tayyaba Akram, 2017. "Investigation of the Effects of Task Technology Fit, Attitude and Trust on Intention to Adopt Mobile Banking: Placing the Mediating Role of Trialability," International Business Research, Canadian Center of Science and Education, vol. 10(4), pages 77-91, April.

    More about this item

    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:igg:jebr00:v:17:y:2021:i:2:p:1-24. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.