IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v88y2014icp76-90.html
   My bibliography  Save this article

A stage-based diffusion of IT innovation and the BSC performance impact: A moderator of technology–organization–environment

Author

Listed:
  • Wu, Ing-Long
  • Chen, Jian-Liang

Abstract

Information system (IS) innovation is an important resource to link to firm performance according to the resource-based view. However, the diffusion of IS innovation is often the crux of the final successful use and thus, critical to realizing firm performance. The diffusion process is dynamic and complex in nature. The innovation diffusion theory (IDT), which is inherent with a multi-stage analysis, can provide insight to its implementation. Little research has examined IT-enabled firm performance for a multi-stage analysis. Moreover, empirical studies have shown inconclusive results in assessing IT value. The balanced scorecard (BSC) is a hybrid performance measure system with four indicators. Grounding on the IDT and BSC, this study proposed a novel research model to examine the relationships between a stage-based diffusion structure and the four BSC indicators. Further, the technology–organization–environment (TOE) was defined as a moderator between them as it is critical in determining the adoption of technology innovation. The results indicated that IT value is realized differentially in different forms of performance indicators across different diffusion stages. Time-lag effect is also important for a well-realized financial performance.

Suggested Citation

  • Wu, Ing-Long & Chen, Jian-Liang, 2014. "A stage-based diffusion of IT innovation and the BSC performance impact: A moderator of technology–organization–environment," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 76-90.
    • Handle: RePEc:eee:tefoso:v:88:y:2014:i:c:p:76-90
    DOI: 10.1016/j.techfore.2014.06.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162514002054
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2014.06.015?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. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. 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.
    3. E. Burton Swanson & Neil C. Ramiller, 1997. "The Organizing Vision in Information Systems Innovation," Organization Science, INFORMS, vol. 8(5), pages 458-474, October.
    4. Ashurst, Colin & Freer, Alison & Ekdahl, Jessica & Gibbons, Chris, 2012. "Exploring IT-enabled innovation: A new paradigm?," International Journal of Information Management, Elsevier, vol. 32(4), pages 326-336.
    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. Hüseyin Tanriverdi & Arun Rai & N. Venkatraman, 2010. "Research Commentary ---Reframing the Dominant Quests of Information Systems Strategy Research for Complex Adaptive Business Systems," Information Systems Research, INFORMS, vol. 21(4), pages 822-834, December.
    7. Sarv Devaraj & Rajiv Kohli, 2003. "Performance Impacts of Information Technology: Is Actual Usage the Missing Link?," Management Science, INFORMS, vol. 49(3), pages 273-289, March.
    8. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    9. Randolph B. Cooper & Robert W. Zmud, 1990. "Information Technology Implementation Research: A Technological Diffusion Approach," Management Science, INFORMS, vol. 36(2), pages 123-139, February.
    10. 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.
    11. Lin, Hsiu-Fen, 2014. "Understanding the determinants of electronic supply chain management system adoption: Using the technology–organization–environment framework," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 80-92.
    12. Kevin Zhu & Kenneth L. Kraemer & Sean Xu, 2006. "The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business," Management Science, INFORMS, vol. 52(10), pages 1557-1576, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yeh, Ching-Chiang & Chen, Yi-Fan, 2018. "Critical success factors for adoption of 3D printing," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 209-216.
    2. Doruk Sen & Sakir Bingol & Ozalp Vayvay, 2017. "Strategic Enterprise Management for Innovative Companies: The Last Decade of the Balanced Scorecard," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 7(1), pages 97-109, January.
    3. Schiavone, Francesco & Leone, Daniele & Caporuscio, Andrea & Kumar, Ajay, 2022. "Revealing the role of intellectual capital in digitalized health networks. A meso‑level analysis for building and monitoring a KPI dashboard," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    4. César Álvarez & Vicente Rodríguez & Francisco Ortega & Joaquín Villanueva, 2015. "A Scorecard Framework Proposal for Improving Software Factories’ Sustainability: A Case Study of a Spanish Firm in the Financial Sector," Sustainability, MDPI, vol. 7(12), pages 1-23, December.
    5. Carlos Suárez-Gargallo & Patrocinio Zaragoza-Sáez, 2021. "How the Balanced Scorecard Is Implemented in the Spanish Footwear Industry," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    6. Jang, Sung Hee & Kim, Rachel H. & Lee, Chang Won, 2016. "Effect of u-healthcare service quality on usage intention in a healthcare service," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 396-403.
    7. Gillani, Fatima & Chatha, Kamran Ali & Sadiq Jajja, Muhammad Shakeel & Farooq, Sami, 2020. "Implementation of digital manufacturing technologies: Antecedents and consequences," International Journal of Production Economics, Elsevier, vol. 229(C).
    8. José Baltazar Salgueirinho Osório de Andrade Guerra & Jonas Schneider & Mauricio Andrade De Lima & Maria Gabriela M. Peixoto & Samuel Borges Barbosa & Samara da Silva Neiva & Robert Birch & Marco Anto, 2023. "Balanced scorecard and eco‐innovation in the industrial sector: A strategic map for environmental innovation," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4266-4281, November.
    9. Cleven, Anne & Mettler, Tobias & Rohner, Peter & Winter, Robert, 2016. "Healthcare quality innovation and performance through process orientation: Evidence from general hospitals in Switzerland," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 386-395.
    10. Lihua Wang & Xin Luo, 2021. "Understanding the Interplay Between Government Microblogs and Citizen Engagement: Evidence from China," Electronic Commerce Research, Springer, vol. 21(2), pages 487-520, June.
    11. Kassem, Mohamd & Ahmed, Ahmed Louay, 2022. "Digital transformation through Building Information Modelling: Spanning the macro-micro divide," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    12. S Michel & A Michaud-Trévinal & F Cocula, 2019. "Net Impacts in Front Office IS: a First Operationalization of Delone and McLean Model in the Banking Sector," Post-Print hal-02467423, HAL.
    13. Amrullah & Umi Kaltum & Merry Citra Sondari & Diaz Pranita, 2023. "The Influence of Capability, Business Innovation, and Competitive Advantage on a Smart Sustainable Tourism Village and Its Impact on the Management Performance of Tourism Villages on Java Island," Sustainability, MDPI, vol. 15(19), pages 1-31, September.
    14. Nilashi, Mehrbakhsh & Ahmadi, Hossein & Ahani, Ali & Ravangard, Ramin & Ibrahim, Othman bin, 2016. "Determining the importance of Hospital Information System adoption factors using Fuzzy Analytic Network Process (ANP)," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 244-264.
    15. Acheampong Owusu, 2017. "Business intelligence systems and bank performance in Ghana: The balanced scorecard approach," Cogent Business & Management, Taylor & Francis Journals, vol. 4(1), pages 1364056-136, January.
    16. Jiang, Mengqi & Jia, Fu & Chen, Lujie & Xing, Xinjie, 2024. "Technology adoption in socially sustainable supply chain management: Towards an integrated conceptual framework," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    17. Martínez-Caro, Eva & Cegarra-Navarro, Juan Gabriel & Alfonso-Ruiz, Francisco Javier, 2020. "Digital technologies and firm performance: The role of digital organisational culture," Technological Forecasting and Social Change, Elsevier, vol. 154(C).

    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. Yajiong Xue & Huigang Liang & Liansheng Wu, 2011. "Punishment, Justice, and Compliance in Mandatory IT Settings," Information Systems Research, INFORMS, vol. 22(2), pages 400-414, June.
    2. 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.
    3. Abou-Shouk, Mohamed A. & Lim, Wai Mun & Megicks, Phil, 2016. "Using competing models to evaluate the role of environmental pressures in ecommerce adoption by small and medium sized travel agents in a developing country," Tourism Management, Elsevier, vol. 52(C), pages 327-339.
    4. McLean, Graeme & Osei-Frimpong, Kofi & Al-Nabhani, Khalid & Marriott, Hannah, 2020. "Examining consumer attitudes towards retailers' m-commerce mobile applications – An initial adoption vs. continuous use perspective," Journal of Business Research, Elsevier, vol. 106(C), pages 139-157.
    5. Hamari, Juho & Koivisto, Jonna, 2015. "Why do people use gamification services?," International Journal of Information Management, Elsevier, vol. 35(4), pages 419-431.
    6. Carol Hsu & Jae-Nam Lee & Detmar W. Straub, 2012. "Institutional Influences on Information Systems Security Innovations," Information Systems Research, INFORMS, vol. 23(3-part-2), pages 918-939, September.
    7. Taneja, Shilpa & Ali, Liaqat, 2021. "Determinants of customers’ intentions towards environmentally sustainable banking: Testing the structural model," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    8. Mütterlein, Joschka & Kunz, Reinhard E. & Baier, Daniel, 2019. "Effects of lead-usership on the acceptance of media innovations: A mobile augmented reality case," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 113-124.
    9. Rajiv D. Banker & Robert J. Kauffman, 2004. "50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science," Management Science, INFORMS, vol. 50(3), pages 281-298, March.
    10. Jaklič, Jurij & Grublješič, Tanja & Popovič, Aleš, 2018. "The role of compatibility in predicting business intelligence and analytics use intentions," International Journal of Information Management, Elsevier, vol. 43(C), pages 305-318.
    11. Peng, Zeyu & Sun, Yongqiang & Guo, Xitong, 2018. "Antecedents of employees’ extended use of enterprise systems: An integrative view of person, environment, and technology," International Journal of Information Management, Elsevier, vol. 39(C), pages 104-120.
    12. repec:dau:papers:123456789/13613 is not listed on IDEAS
    13. Tarafdar, Monideepa & Vaidya, Sanjiv D., 2006. "Challenges in the adoption of E-Commerce technologies in India: The role of organizational factors," International Journal of Information Management, Elsevier, vol. 26(6), pages 428-441.
    14. Kamal Abubker Abrahim Sleiman & Wang Jin & Lan Juanli & Hong Zhen Lei & Jingyi Cheng & Yuanxin Ouyang & Wenge Rong, 2022. "The Factors of Continuance Intention to Use Mobile Payments in Sudan," SAGE Open, , vol. 12(3), pages 21582440221, August.
    15. Lars Hornuf & Maximilian Meiler, 2024. "Factors Driving Adoption of Humanoid Service Robots in Banks," CESifo Working Paper Series 11366, CESifo.
    16. Wen-Lung Shiau & Yogesh K. Dwivedi, 2013. "Citation and co-citation analysis to identify core and emerging knowledge in electronic commerce research," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1317-1337, March.
    17. Mehra, Aashish & Rajput, Sneha & Paul, Justin, 2022. "Determinants of adoption of latest version smartphones: Theory and evidence," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    18. Nathalie Demoulin & Kristof Coussement, 2018. "Acceptance of text-mining systems: The signaling role of information quality," Post-Print hal-02111772, HAL.
    19. Wu, Ing-Long & Chiu, Mai-Lun, 2018. "Examining supply chain collaboration with determinants and performance impact: Social capital, justice, and technology use perspectives," International Journal of Information Management, Elsevier, vol. 39(C), pages 5-19.
    20. Premkumar, G. & Bhattacherjee, Anol, 2008. "Explaining information technology usage: A test of competing models," Omega, Elsevier, vol. 36(1), pages 64-75, February.
    21. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.

    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:tefoso:v:88:y:2014:i:c:p:76-90. 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: http://www.sciencedirect.com/science/journal/00401625 .

    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.