Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Research indicates that entrepreneurs are relying on digital technology for their entrepreneurial endeavours, yet there is little knowledge on how to balance technology usage and wellbeing. Drawing on the concept of technostress and 643 observations of nascent South African entrepreneurs’ interactions with digital technology, we advance knowledge at the technostress–entrepreneurship nexus. Partial least squares structural equation modelling (PLS-SEM) results reveal how digital self-efficacy moderates their behaviour and inability to balance digital technology usage with wellbeing. These results confirm entrepreneurship passion and perceived behavioural control as predictors of technostress amongst these entrepreneurs. They also suggest that the benefits of digital technology are not a predictor of technostress in African entrepreneurship; thus, extending a conceptual overlay of digital technology, digital self-efficacy, entrepreneurial passion (EP), and behaviour to define the mechanisms underlying a technostress–entrepreneurship nexus. The results show social, policy, and research implications in today’s technology-driven environments characterised by a mixture of midrange to complete digital transformations.
Research indicates that entrepreneurs are relying on digital technology for their entrepreneurial endeavours, yet there is little knowledge on how to balance technology usage and wellbeing. Drawing on the concept of technostress and 643 observations of nascent South African entrepreneurs’ interactions with digital technology, we advance knowledge at the technostress–entrepreneurship nexus. Partial least squares structural equation modelling (PLS-SEM) results reveal how digital self-efficacy moderates their behaviour and inability to balance digital technology usage with wellbeing. These results confirm entrepreneurship passion and perceived behavioural control as predictors of technostress amongst these entrepreneurs. They also suggest that the benefits of digital technology are not a predictor of technostress in African entrepreneurship; thus, extending a conceptual overlay of digital technology, digital self-efficacy, entrepreneurial passion (EP), and behaviour to define the mechanisms underlying a technostress–entrepreneurship nexus. The results show social, policy, and research implications in today’s technology-driven environments characterised by a mixture of midrange to complete digital transformations.
This work addresses a research gap in digital marketing by attempting to compare the effort in achieving the best organic search engine ranking with the effort in providing the best user experience in web navigation. The objective is to validate companies' efforts in the digital world, and the study is focused on the toy sector in Spain, specifically on the Google search engine, measuring the user experience in web browsing through neuromarketing biometrics. The top 30 results for each Google search were collected for the 638 keywords related to toys in Spain. Subsequently, the three best-positioned websites for the Google search results were determined, and their user experience was measured using neuromarketing biometrics, triangulated with qualitative research. This approach allows for contrasting brand authority in the digital world (visibility in a search) with the user experience in navigation (trust and ease of purchase decision-making). Results indicate that the best-positioned websites do not necessarily correspond to the best web navigation experiences.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
334 Leonard St
Brooklyn, NY 11211
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.