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

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.

The Influence of AI-CRM Adoption and Big Data Analytical Capability on Firm Performance of Large Enterprises in Thailand

“…Thanatchaporn Jaruwanakul 123 capability positively influences team collaboration (H5). This underscores the importance of streamlined internal processes and the ability to connect various facets of an organization to foster effective collaboration among teams (Chen, 2023). As supported by Irfan and Wang (2019), organizations that prioritize integration are more likely to witness collaborative efforts that span across departments and functions.…”

“…Effective team collaboration is a cornerstone of organizational success, and AI-CRM adoption has been shown to influence collaborative processes positively (Chen, 2023). AI-CRM tools facilitate real-time data sharing, enhance communication, and provide valuable insights that enable cross-functional teams to work more cohesively (Ledro et al, 2022).…”

“…This capability is integral to leveraging the potential value embedded in massive volumes of data (Mikalef et al, 2020). Chen (2023) indicated a positive relationship between Big Data analytical capability and integration capability within organizations. Big Data analytics provides the tools and methodologies to integrate diverse data sources and types, enabling a more holistic view of organizational operations and enhancing decisionmaking processes (LaValle et al, 2011).…”

“…Integration capability refers to an organization's capacity to harmonize diverse technological elements, systems, and processes into a unified and coherent whole (Chen, 2023). Studies emphasize that integration capability plays a pivotal role in fostering communication and information sharing within organizations (van de Wetering et al, 2021).…”

Exploring Academic Intentions for ChatGPT: A Perspective from the Theory of Planned Behavior

“…Positive attributes are linked to favorable attitudes, whereas negative attributes tend to result in unfavorable attitudes (Ajzen, 1991;2020). Attitude has been shown to be a predictor of adoption for various novel technologies such as wearable devices like smartwatches (Acikgoz et al, 2023;Elnagar et al, 2022) and AI applications (Chen, 2023).…”