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Business and Economics
Abstract
Millions have adopted tools like ChatGPT in recent years, yet indifference and resistance among employees remain. This qualitative study employs monodramatic projective techniques to explore employees' hidden assumptions and unconscious beliefs in a division attempting to integrate Generative Artificial Intelligence (AI, GAI). Through pretensive work, soliloquy, symbolic representation, modeling with intermediate objects, concretization, and role reversal techniques, the interviewees' internal representations of GAI and trust were materialized in physical artifacts, such as a ball of straw or a potted plant. The study identified three principal themes: GAI's appearance as a Janus-faced presence, unmet performance promises, and avoided proximity. Findings highlight ambiguities in acceptance and show that adoption was driven more by industry hype and normative pressures than genuine organizational needs, leading to disorganized implementation dependent on individual employee characteristics, mistrust, and disenchantment. The study's main contribution lies in refining human-robot interaction (HRI) models and psychodrama methods for GAI, emphasizing the significance of physicality and embodiment in technology-mediated relationships, identifying trust as a complex phenomenon with potential reciprocal causation, and emphasizing the importance of affective attitudes, illustrating how adoption projects can falter despite cognitive openness – all insights crucial for understanding self-driven, bottom-up GAI adaptation in an organizational context.
Abstract
The purpose of the article is to assess the extent to which digital transformation policies in Bulgaria are modernized and receptive to new multi-sectoral reform approaches. Criteria were developed to evaluate the alignment of government documents with one or more strategic paradigms. An analysis was conducted on eight strategic documents related to digital transformation in Bulgaria, developed after 2010. This analysis utilized the Grounded Theory Coding procedure for inductive category development and applied codes from the criteria framework. Atlas.ti software was used for textual analysis, which provided quantitative data on the frequency of codes meeting the defined criteria for each strategic paradigm. The initial document evaluation was complemented by a qualitative content analysis to clarify the criterion-based findings and further explore the influence of different paradigms. In-depth interviews with representatives from public sector organizations confirmed and enriched some of the conclusions drawn during the analysis. The study finds that (1) the traditional approach dominated the early strategic documents but was gradually displaced by New Public Management; and (2) the network approach is insufficiently represented in the vision and strategic goals of Bulgaria's digital transformation process.
Abstract
The transition to electric vehicles has become an urgent priority due to their lower environmental impact. The automotive industry has already developed solutions for zero-emission vehicles to significantly reduce greenhouse gas emissions. However, this transition heavily depends on the evolution of consumer demand. This paper focuses on Generation Z, as they will soon become a determining consumer segment in the automotive market. Our research aims to analyze Generation Z's attitude toward electric vehicles. Their attitude provides valuable insights for industry leaders regarding future consumer behavior. We analyzed the relationship between selected adoption factors (environmental concern, perceived risk, ease of use, and enjoyment) and Generation Z's attitude toward electric vehicles (measured by perceived relative advantage). Our research is based on data from Hungarian Generation Z respondents, and our findings conclude that environmental concern is less relevant than enjoyment and ease of use, which are the most impactful factors.
