Analysis of the perception of digital government and artificial intelligence in the public sector in Jalisco, Mexico

Abstract

The advancement and continuous development of information and communication technologies highlights the importance of analysing and monitoring the development and capabilities of governments to use and exploit the potential of new technologies. Digital government and artificial intelligence in the public sector are two trends associated with technological development. This research conducts an analysis of these elements from the perspective of public officials by conducting a factor analysis. The study is based on a survey administered to civil servants in the state of Jalisco in Mexico. An analysis was made of their training and knowledge of these aspects and whether there are significant differences according to gender, age, level of studies, area of knowledge and place of work. The results obtained show divergences and coincidences between variables and factors. The findings are useful as a reference for the government of Jalisco to promote measures aimed at improving the situation of digital government and artificial intelligence in the short to medium term, in order to optimize administrative management. Points for practitioners Knowing the perspective of public officials on digital government and artificial intelligence is important to evaluate and design a digital strategy in governments. Public officials in charge of technology areas in governments need constant training on emerging technological tools, mainly those related to artificial intelligence. There is a lack of knowledge about the use and implications of artificial intelligence in the public sector by public servants. Data interoperability and coordination between government agencies are relevant to the development of digital government.

Artificial intelligence capabilities, dynamic capabilities and organizational creativity: contributing factors to the United Arab Emirates Government’s organizational performance

“…This study aligns with the reasoning and argumentation found in the existing literature (e.g. Bharadwaj, 2000; Mikalef et al , 2023; Ruvalcaba-Gomez and Cifuentes-Faura, 2023), which posits that the RBT can offer advantages to the IS field. Specifically, the RBT serves as a basis for specifying resources at the organizational level, enables differentiation between cross-functional, technical and nontechnical resources and facilitates systematic examination of the relationship between aggregated resources and capabilities, ultimately impacting key performance outcomes in domains such as the 4IR, blockchain technology, sustainability and the circular economy.…”

“…Scholars contend that the integration of AI within the government sector offers novel avenues for enhancing OC. They propose that to gain a deeper comprehension of the development of innovative tools for OP, it is imperative to tackle the challenges associated with the AI productivity paradox (Akter et al , 2023; Ruvalcaba-Gomez and Cifuentes-Faura, 2023). To acquire value, AIC must generate a collection of organizational and AI resources (Pan and Nishant, 2023).…”

“…The RBT has a significant impact on the dynamics of public value and the promotion of societal benefits (Mariani et al , 2023; Mikalef et al , 2023; Ruvalcaba-Gomez and Cifuentes-Faura, 2023). According to Bharadwaj (2000), the RBT posits that organizations possess a collection of resources that are both valuable and difficult to replicate.…”

“…Government organizations possess a repertoire of techniques, infrastructure and skilled professionals that serve as valuable resources. The present advancement of AI-driven tools and platforms offers a framework for the creation of agile public services (Mikalef et al, 2022;Ruvalcaba-Gomez, 2023). Government entities leverage their valuable resources and expertise to cultivate DC (Panagiotopoulos et al, 2023).…”

Exploring the negative impacts of artificial intelligence in government: the dark side of intelligent algorithms and cognitive machines

“…In the last decade, researchers have focused on analyzing the governance of the so-called “Fourth Industrial Revolution,” as there is an urgent need to understand the norms, policies, and institutions that will attempt to generate artificial intelligence (AI)-based welfare and social progress (Ruvalcaba-Gomez and Cifuentes-Faura, 2023). Notwithstanding the potential benefits of AI, there is some interest in knowing the pernicious effects, unexpected outcomes, and unintended consequences of AI (McEvoy, 2019; Sun and Medaglia, 2019).…”