This study aims to explore both the drivers (performance expectancy and perceived usefulness of ChatGPT) and the barrier (effort expectancy) that Indonesian youth encounter when…
Abstract
Purpose
This study aims to explore both the drivers (performance expectancy and perceived usefulness of ChatGPT) and the barrier (effort expectancy) that Indonesian youth encounter when adopting generative AI technology, such as ChatGPT, as they pursue digital entrepreneurship.
Design/methodology/approach
This study utilizes Hayes' Process Model to evaluate the proposed hypotheses through survey data collected from 518 Indonesian youth.
Findings
This study's findings highlight a paradoxical relationship that emerges when effort expectancy intersects with performance expectancy and perceived usefulness of ChatGPT. Specifically, we discovered that when young individuals perceive the adoption of generative AI technology as requiring significant effort, their motivation to engage in digital entrepreneurship is significantly enhanced if they also view the tool as highly useful and beneficial to their future business endeavors.
Practical implications
The findings provide valuable insights for educators and policymakers focused on advancing digital entrepreneurship in developing nations through the integration of generative AI technology.
Originality/value
Our study enriches an underexplored niche within the field of entrepreneurship by examining the intersection of Indonesian youth, generative AI technology and digital entrepreneurship. By incorporating the Expectancy-Value Theory, it brings a fresh perspective to the study of paradoxical relationships in contemporary research in this domain.
Details
Keywords
Hanan Eid Badwy, Sikandar Ali Qalati and Mohamed Fawzy El-Bardan
Environmental concerns and the urgent issues of climate change have shifted the organization’s focus toward achieving sustainability. Therefore, this study aims to evaluate the…
Abstract
Purpose
Environmental concerns and the urgent issues of climate change have shifted the organization’s focus toward achieving sustainability. Therefore, this study aims to evaluate the complex relationships among green human resource management (GHRM), green innovation (GI), green human capital (GHC) and sustainable performance (SP).
Design/methodology/approach
To investigate the relationships, the study employed partial least square structural equation modeling to run an analysis on 384 managers working in the hotel sector in Egypt, selected through a simple random sampling technique.
Findings
The results demonstrate that GHRM positively influences both GI and GHC. Additionally, GI and GHC have a positive impact on SP. Furthermore, GHRM directly contributes to SP, with GI and GHC acting as significant mediators in the relationship between GHRM and SP.
Practical implications
This study advances theoretical understanding and offers practical insights by employing the resource-based view theory and the ability-motivation-opportunity theory.
Originality/value
This research introduces and empirically tests a novel conceptual framework that comprehensively assesses the impacts of GHRM, GI and GHC on SP.