IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v15y2024i1d10.1007_s13132-023-01293-x.html
   My bibliography  Save this article

Influence of Employees’ Intention to Adopt AI Applications and Big Data Analytical Capability on Operational Performance in the High-Tech Firms

Author

Listed:
  • Chi-hsiang Chen

    (Tamkang University)

Abstract

As the application of artificial intelligence (AI) becomes more prevalent, it has attracted the attention of high-tech firms, which adopt AI applications in response to emerging societal, technological, and environmental challenges. In the AI application processes, big data analytical capacity has become increasingly important. Although AI may potentially revolutionise the markets, industries, and general business activities, the question remains how high-tech firms can implement AI in their operations effectively and efficiently, so as to enhance their operational performances. This study aims to explore whether high-tech firm employees’ intention to adopt AI applications and the firms’ big data analytical capability would affect the operational performance. Besides utilising the unified theory of acceptance and use of technology as a framework, this study also adopted the structural equation modelling (SEM) and related statistical analyses (using SPSS and LISREL). The results show that employees’ intention to adopt AI applications is positively related to integration capability and team collaboration, and big data analytical capability is positively related to integration capability but not to team collaboration. Moreover, both integration capability and team collaboration are positively correlated with operational performance. Sobel t test was employed to test the mediating effect, and found that integration capability is a significant mediator in the influence of big data analytical capability on operational performance. Employees’ intention to adopt AI applications and big data analytical capability can effectively enhance the goals associated with achieving high operational performances.

Suggested Citation

  • Chi-hsiang Chen, 2024. "Influence of Employees’ Intention to Adopt AI Applications and Big Data Analytical Capability on Operational Performance in the High-Tech Firms," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3946-3974, March.
    • Handle: RePEc:spr:jknowl:v:15:y:2024:i:1:d:10.1007_s13132-023-01293-x
    DOI: 10.1007/s13132-023-01293-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-023-01293-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13132-023-01293-x?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. Truffer, Bernhard & Markard, Jochen & Wustenhagen, Rolf, 2001. "Eco-labeling of electricity--strategies and tradeoffs in the definition of environmental standards," Energy Policy, Elsevier, vol. 29(11), pages 885-897, September.
    2. Horn, Philipp & Scheffler, Paul & Schiele, Holger, 2014. "Internal integration as a pre-condition for external integration in global sourcing: A social capital perspective," International Journal of Production Economics, Elsevier, vol. 153(C), pages 54-65.
    3. Sreekumar R. Bhaskaran & V. Krishnan, 2009. "Effort, Revenue, and Cost Sharing Mechanisms for Collaborative New Product Development," Management Science, INFORMS, vol. 55(7), pages 1152-1169, July.
    4. Titah, Ryad & Shuraida, Shadi & Rekik, Yacine, 2016. "Integration breach: Investigating the effect of internal and external information sharing and coordination on firm profit," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 34-47.
    5. Ryad Titah & Shadi Shuraida & Yacine Rekik, 2016. "Integration Breach : Investigating the Effect of Internal and External Information Sharing and Coordination on Firm Profit," Post-Print hal-02313359, HAL.
    6. Kwon, Ohbyung & Lee, Namyeon & Shin, Bongsik, 2014. "Data quality management, data usage experience and acquisition intention of big data analytics," International Journal of Information Management, Elsevier, vol. 34(3), pages 387-394.
    7. Li, Da-yuan & Liu, Juan, 2014. "Dynamic capabilities, environmental dynamism, and competitive advantage: Evidence from China," Journal of Business Research, Elsevier, vol. 67(1), pages 2793-2799.
    8. Sea-Jin Chang & Arjen van Witteloostuijn & Lorraine Eden, 2010. "From the Editors: Common method variance in international business research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 41(2), pages 178-184, February.
    9. Ravi Srinivasan & Morgan Swink, 2018. "An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1849-1867, October.
    10. Elias G. Carayannis & Joanna Morawska-Jancelewicz, 2022. "The Futures of Europe: Society 5.0 and Industry 5.0 as Driving Forces of Future Universities," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 3445-3471, December.
    11. Palmié, Maximilian & Miehé, Lucas & Oghazi, Pejvak & Parida, Vinit & Wincent, Joakim, 2022. "The evolution of the digital service ecosystem and digital business model innovation in retail: The emergence of meta-ecosystems and the value of physical interactions," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    12. repec:eme:maj000:maj-08-2017-1633 is not listed on IDEAS
    13. Wang, Ming-Chao & Chen, Pei-Chen & Fang, Shih-Chieh, 2018. "A critical view of knowledge networks and innovation performance: The mediation role of firms' knowledge integration capability," Journal of Business Research, Elsevier, vol. 88(C), pages 222-233.
    14. Graham, Stephanie, 2018. "Antecedents to environmental supply chain strategies: The role of internal integration and environmental learning," International Journal of Production Economics, Elsevier, vol. 197(C), pages 283-296.
    15. Animesh Agrawal & Chitranjan Kumar & Suraj Kumar Mukti, 2021. "Role of Information and Communication Technology (ICT) to Enhance the Success of Knowledge Management (KM): a Study in a Steel Plant," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(4), pages 1760-1786, December.
    16. Fonseca, Tiago & de Faria, Pedro & Lima, Francisco, 2019. "Human capital and innovation: the importance of the optimal organizational task structure," Research Policy, Elsevier, vol. 48(3), pages 616-627.
    17. Zabihollah Rezaee & Jim Wang, 2018. "Relevance of big data to forensic accounting practice and education," Managerial Auditing Journal, Emerald Group Publishing Limited, vol. 34(3), pages 268-288, October.
    18. Loberg, Linda & Nüesch, Stephan & Foege, Johann Nils, 2021. "Forced distribution rating systems and team collaboration," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 18-35.
    19. Jean-Louis Monino, 2021. "Data Value, Big Data Analytics, and Decision-Making," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(1), pages 256-267, March.
    20. Chang, Woojung & Ellinger, Alexander E. & Kim, Kyoungmi (Kate) & Franke, George R., 2016. "Supply chain integration and firm financial performance: A meta-analysis of positional advantage mediation and moderating factors," European Management Journal, Elsevier, vol. 34(3), pages 282-295.
    21. Ahmadi, Hormoz & O'Cass, Aron & Miles, Morgan P., 2014. "Product resource–capability complementarity, integration mechanisms, and first product advantage," Journal of Business Research, Elsevier, vol. 67(5), pages 704-709.
    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. Zeplin Jiwa Husada Tarigan & Hotlan Siagian & Ferry Jie, 2021. "Impact of Enhanced Enterprise Resource Planning (ERP) on Firm Performance through Green Supply Chain Management," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
    2. Rajaguru, Rajesh & Matanda, Margaret Jekanyika & Verma, Prikshat, 2023. "Information system integration, forecast information quality and market responsiveness: Role of socio-technical congruence," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    3. Xiongyong Zhou & Madeleine Pullman & Zhiduan Xu, 2022. "The impact of food supply chain traceability on sustainability performance," Operations Management Research, Springer, vol. 15(1), pages 93-115, June.
    4. Patrucco, Andrea S. & Marzi, Giacomo & Trabucchi, Daniel, 2023. "The role of absorptive capacity and big data analytics in strategic purchasing and supply chain management decisions," Technovation, Elsevier, vol. 126(C).
    5. Issam Laguir & Sachin Modgil & Indranil Bose & Shivam Gupta & Rebecca Stekelorum, 2023. "Performance effects of analytics capability, disruption orientation, and resilience in the supply chain under environmental uncertainty," Annals of Operations Research, Springer, vol. 324(1), pages 1269-1293, May.
    6. Xiaoli Guo & Weili Xia & Taiwen Feng & Jianyu Tan & Fenggang Xian, 2024. "Blockchain technology adoption and sustainable supply chain finance: The perspective of information processing theory," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(4), pages 3614-3632, July.
    7. Shore, Adam & Tiwari, Manisha & Tandon, Priyanka & Foropon, Cyril, 2024. "Building entrepreneurial resilience during crisis using generative AI: An empirical study on SMEs," Technovation, Elsevier, vol. 135(C).
    8. Jha, Aditya & Fernandes, Kiran & Xiong, Yu & Nie, Jiajia & Agarwal, Neelesh & Tiwari, Manoj K., 2017. "Effects of demand forecast and resource sharing on collaborative new product development in supply chain," International Journal of Production Economics, Elsevier, vol. 193(C), pages 207-221.
    9. Han, Jeong Hugh & Wang, Yingli & Naim, Mohamed, 2017. "Reconceptualization of information technology flexibility for supply chain management: An empirical study," International Journal of Production Economics, Elsevier, vol. 187(C), pages 196-215.
    10. Gu, Qiannong & Jitpaipoon, Thawatchai & Yang, Jie, 2017. "The impact of information integration on financial performance: A knowledge-based view," International Journal of Production Economics, Elsevier, vol. 191(C), pages 221-232.
    11. Ghazal Rezaei & Seyed Mohammad Hassan Hosseini & Shib Sankar Sana, 2022. "Exploring the Relationship between Data Analytics Capability and Competitive Advantage: The Mediating Roles of Supply Chain Resilience and Organization Flexibility," Sustainability, MDPI, vol. 14(16), pages 1-23, August.
    12. Jianmin Song & Senmao Xia & Demetris Vrontis & Arun Sukumar & Bing Liao & Qi Li & Kun Tian & Nengzhi Yao, 2022. "The Source of SMEs’ Competitive Performance in COVID-19: Matching Big Data Analytics Capability to Business Models," Information Systems Frontiers, Springer, vol. 24(4), pages 1167-1187, August.
    13. Zhongfeng Su & Jie Chen & Hai Guo & Donghan Wang, 2022. "Top management team’s participative decision-making, heterogeneity, and management innovation: an information processing perspective," Asia Pacific Journal of Management, Springer, vol. 39(1), pages 149-171, March.
    14. Francis Donbesuur & Nadia Zahoor & Samuel Adomako, 2021. "Postformation alliance capabilities and environmental innovation: The roles of environmental in‐learning and relation‐specific investments," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 3330-3343, November.
    15. Goran Avlijas & Vesna Vukanovic Dumanovic & Miljan Radunovic, 2021. "Measuring the Effects of Automatic Replenishment on Product Availability in Retail Stores," Sustainability, MDPI, vol. 13(3), pages 1-14, January.
    16. Benzidia, Smail & Makaoui, Naouel & Bentahar, Omar, 2021. "The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    17. Limin Su & Yongchao Cao & Wenjuan Zhang, 2023. "Low-Carbon Supply Chain Operation Decisions and Coordination Strategies Considering the Consumers’ Preferences," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    18. Jiatong Yu & Jiajue Wang & Taesoo Moon, 2022. "Influence of Digital Transformation Capability on Operational Performance," Sustainability, MDPI, vol. 14(13), pages 1-20, June.
    19. Newburry, William & Gardberg, Naomi A. & Sanchez, Juan I., 2014. "Employer Attractiveness in Latin America: The Association Among Foreignness, Internationalization and Talent Recruitment," Journal of International Management, Elsevier, vol. 20(3), pages 327-344.
    20. Ahammad, Mohammad Faisal & Tarba, Shlomo Yedidia & Liu, Yipeng & Glaister, Keith W., 2016. "Knowledge transfer and cross-border acquisition performance: The impact of cultural distance and employee retention," International Business Review, Elsevier, vol. 25(1), pages 66-75.

    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:spr:jknowl:v:15:y:2024:i:1:d:10.1007_s13132-023-01293-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.