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Economics and business journals focus on publishing papers coming from the fields of applied economics, corporate finance, financial investments, markets, institutions, industrial organization, international trade, marketing and similar.
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
This study explores the diversity in the personality profiles of solopreneurs in high- and non-high-tech sectors during the initial business phase, driven by the need to determine whether sector-specific personality traits are crucial for entrepreneurial success. Utilizing the Big Five personality traits (BFPT), we analyze data on 4,470 solopreneurs from the IAB/ZEW Start-up Panel (2018 and 2019 waves). This study incorporates comprehensive Big Five personality, exploratory factor, cluster, and heatmap analyses. These methods reveal significant differences between solopreneurs and the general population, particularly regarding openness, conscientiousness, extraversion, agreeableness, and neuroticism. The analysis identifies three main industry sectors that reflect the range of entrepreneurial approaches. Despite sectoral diversity, Big Five profiles of entrepreneurs are homogenous, challenging the assumption that different sectors require distinct personality profiles. The findings underscore the importance of self-awareness and accurate self-perception in fostering innovation and making prudent decisions during the early stages of entrepreneurship.
