nach oben

Erschienen in:

2024 | OriginalPaper | Buchkapitel

Adoption of Artificial Intelligence in Business Operations of Technology Firms

verfasst von : Spardha Bisht, Santoshi Sengupta, Manish Kumar Bisht

Erschienen in: Proceedings of Third International Conference on Computing and Communication Networks

Verlag: Springer Nature Singapore

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Artificial Intelligence (AI) has brought about significant transformation in the topography of business operations in large technology at a global level. Addressing the growing need of investigating the factors that influence adoption of AI in business processes in technology organizations, this study collects data from 252 middle-level employees about their perception and attitude towards AI in business operations. Statistical analysis of the data shows that while performance expectancy has a significant positive effect on employee attitude and intention to use AI in business operations, effort expectancy does not have any significant effect. Also, it is found that employee attitude mediates the relationship of performance expectancy and effort expectancy with intention to use AI. The study provides us with interesting insights for practitioners about nuances of implementing AI in business operations in large technology organizations.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Evaluating Machine Learning Algorithms for New Indian Parliament Building Sentiment Analysis

Nächstes Kapitel An Artificial Intelligence Approach to Quantifying Exercise Form for Optimal Performance and Injury Prevention

Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A., Trichina, E.: Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review. Int. J. Hum. Resour. Manag. 33(6), 1237–1266 (2022). https://doi.org/10.1080/09585192.2020.1871398CrossRef

Saboo, A.R.: Using big data to model time-varying effects for marketing resource (RE) allocation. MIS Q. 40(4), 911–939 (2016). https://doi.org/10.25300/misq/2016/40.4.06CrossRef

Gupta, S., Leszkiewicz, A., Kumar, V., Bijmolt, T., Potapov, D.: Digital analytics: modeling for insights and new methods. J. Interact. Mark. 51, 26–43 (2020). https://doi.org/10.1016/j.intmar.2020.04.003CrossRef

Gursoy, D., Chi, O.H., Lu, L., Nunkoo, R.: Consumers acceptance of artificially intelligent (AI) device use in service delivery. Int. J. Inf. Manage. 49, 157–169 (2019). https://doi.org/10.1016/j.ijinfomgt.2019.03.008CrossRef

Jaiswal, A., Arun, C.J., Varma, A.: Rebooting employees: upskilling for artificial intelligence in multinational corporations. Int. J. Hum. Resour. Manag. 33(6), 1179–1208 (2022). https://doi.org/10.1080/09585192.2021.1891114CrossRef

Altemeyer, B.: Making the business case for AI in HR: two case studies. Strateg. HR Rev. 18(2), 66–70 (2019). https://doi.org/10.1108/shr-12-2018-0101CrossRef

Tarafdar, M., Beath, C.M., Ross, J.W.: Using AI to enhance business operations. In: How AI Is Transforming the Organization, pp. 67–86 (2020)

Dogru, A.K., Keskin, B.B.: AI in operations management: applications, challenges and opportunities. J. Data, Inf. Manag. 2(2), 67–74 (2020). https://doi.org/10.1007/s42488-020-00023-1

Sengupta, S., Patel, P., Zaman, S.: Fostering business growth and innovation through internationalization: the interesting illustration of the Indian IT industry. In: Palgrave Studies in Democracy, Innovation and Entrepreneurship for Growth, pp. 361–387 (2021)

10.

Malik, A., Budhwar, P., Mohan, H., Srikanth, N.R.: Employee experience –the missing link for engaging employees: Insights from an MNE’s AI-based HR ecosystem. Hum. Resour. Manage. 62(1), 97–115 (2023). https://doi.org/10.1002/hrm.22133CrossRef

11.

Wang, T., Jung, C.H., Kang, M.H., Chung, Y.S.: Exploring determinants of adoption intentions towards Enterprise 2.0 applications: an empirical study. Behav. Inf. Technol. 33(10), 1048–1064 (2014). https://doi.org/10.1080/0144929X.2013.781221CrossRef

12.

Venkatesh, V., Thong, J.Y.L., Xu, X.: Unified theory of acceptance and use of technology: A synthesis and the road ahead. J. Assoc. Inf. Syst. 17(5), 328–376 (2016). https://doi.org/10.17705/1jais.00428CrossRef

13.

Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process.ocess. 50(2), 179–211 (1991). https://doi.org/10.1016/0749-5978(91)90020-TCrossRef

14.

Venkatesh, V., Thong, J.Y., Xu, X.: Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quart 36(1), 157–178 (2012)

15.

Dwivedi, Y.K., Rana, N.P., Janssen, M., Lal, B., Williams, M.D., Clement, M.: An empirical validation of a unified model of electronic government adoption (UMEGA). Gov Inf Quart 34(2), 211–230 (2017)

Titel: Adoption of Artificial Intelligence in Business Operations of Technology Firms
verfasst von: Spardha Bisht
Santoshi Sengupta
Manish Kumar Bisht
Verlag: Springer Nature Singapore
Buch: Proceedings of Third International Conference on Computing and Communication Networks
Print ISBN: 978-981-9708-91-8

Electronic ISBN: 978-981-9708-92-5

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-981-97-0892-5_49

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"