IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v34y2014i6p741-750.html
   My bibliography  Save this article

Interruption management and office norms: Technology adoption lessons from a product commercialization study

Author

Listed:
  • Donmez, Birsen
  • Matson, Zannah
  • Savan, Beth
  • Farahani, Ellie
  • Photiadis, David
  • Dafoe, Joanna

Abstract

This paper explores factors that influence technology adoption in an office environment, with an emphasis on technology aimed at managing focused and collaborative work by reducing unwelcome interruptions for its users. Based on surveys, focus groups, and usability studies, our findings suggest that workplace social norms play a pivotal role in the adoption and use of interruption management technologies. Our findings display a marked lag of social norms behind the importance placed on uninterrupted time by individuals; even when individuals see the efficacy of the technology, they often misjudge their peers’ attitudes, underestimating their colleagues’ similar needs. In spite of high levels of perceived usefulness reported by our participants, need and ease of use alone were insufficient to predict uptake; when technology has implications for the office behavioral environment, it must be supported by social norms encouraging adoption. Our results further suggest that feedback, which actively engages a product's user, could be crucial to encouraging prolonged use and enhancing the user experience. Although the findings are drawn from a pre-commercialization study of an interruption management technology, they are broadly relevant to technology adoption cases, with special salience for those within the office context.

Suggested Citation

  • Donmez, Birsen & Matson, Zannah & Savan, Beth & Farahani, Ellie & Photiadis, David & Dafoe, Joanna, 2014. "Interruption management and office norms: Technology adoption lessons from a product commercialization study," International Journal of Information Management, Elsevier, vol. 34(6), pages 741-750.
    • Handle: RePEc:eee:ininma:v:34:y:2014:i:6:p:741-750
    DOI: 10.1016/j.ijinfomgt.2014.08.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0268401214000887
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijinfomgt.2014.08.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    2. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    5. Sykes, Edward R., 2011. "Interruptions in the workplace: A case study to reduce their effects," International Journal of Information Management, Elsevier, vol. 31(4), pages 385-394.
    6. 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.
    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. 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.
    2. Wajeeha Aslam & Marija Ham & Imtiaz Arif, 2017. "Consumer Behavioral Intentions towards Mobile Payment Services: An Empirical Analysis in Pakistan," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 29(2), pages 161-176.
    3. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    4. Wang, Guoqiang & Tan, Garry Wei-Han & Yuan, Yunpeng & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2022. "Revisiting TAM2 in behavioral targeting advertising: A deep learning-based dual-stage SEM-ANN analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    5. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    6. Cowan, Kelly R. & Daim, Tugrul U., 2011. "Review of technology acquisition and adoption research in the energy sector," Technology in Society, Elsevier, vol. 33(3), pages 183-199.
    7. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    8. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    9. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    10. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
    11. repec:zbw:bofrdp:2006_032 is not listed on IDEAS
    12. Guych Nuryyev & Yu-Ping Wang & Jennet Achyldurdyyeva & Bih-Shiaw Jaw & Yi-Shien Yeh & Hsien-Tang Lin & Li-Fan Wu, 2020. "Blockchain Technology Adoption Behavior and Sustainability of the Business in Tourism and Hospitality SMEs: An Empirical Study," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    13. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    14. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    15. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    16. Nuray Cakirli Akyüz & Ludwig Theuvsen, 2020. "The Impact of Behavioral Drivers on Adoption of Sustainable Agricultural Practices: The Case of Organic Farming in Turkey," Sustainability, MDPI, vol. 12(17), pages 1-20, August.
    17. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.
    18. Simarpreet Kaur & Sangeeta Arora, 2023. "Understanding customers’ usage behavior towards online banking services: an integrated risk–benefit framework," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(1), pages 74-98, March.
    19. Herbjørn Nysveen & Per Egil Pedersen, 2016. "Consumer adoption of RFID-enabled services. Applying an extended UTAUT model," Information Systems Frontiers, Springer, vol. 18(2), pages 293-314, April.
    20. Maria Sabbagh & Luciano Gutierrez, 2022. "Micro-Irrigation Technology Adoption in the Bekaa Valley of Lebanon: A Behavioural Model," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
    21. Fosso Wamba, Samuel & Bhattacharya, Mithu & Trinchera, Laura & Ngai, Eric W.T., 2017. "Role of intrinsic and extrinsic factors in user social media acceptance within workspace: Assessing unobserved heterogeneity," International Journal of Information Management, Elsevier, vol. 37(2), pages 1-13.

    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:eee:ininma:v:34:y:2014:i:6:p:741-750. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-information-management .

    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.