Situational development of low-code applications in manufacturing companies

Kirchhoff, Jonas; Weidmann, Nils B.; Sauer, Stefan; Engels, Gregor

doi:10.1145/3550356.3561560

Cited by 5 publications

(1 citation statement)

References 7 publications

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“…An established theoretical framework will provide guidance for research inquiries, creating hypotheses, and obtaining valuable insights for businesses, academics, and practical applications. Moreover, many organizations are facing an increasing shortage of software developers and the uncertainty of how to enable non-IT individuals to use technology effectively to harness employees' intellectual potential [13,14]. Understanding these factors will help the LCNC providers address the primary concerns of businesses and individuals who intend to adopt the technology.…”

Section:  Code Generator  Runtime Execution Modelmentioning

confidence: 99%

Enhancing Business Efficiency through Low-Code/No-Code Technology Adoption: Insights from an Extended UTAUT Model

Abdul Razak,

Phey Ernn,

Yussoff

et al. 2024

J. Hum. Earth Future

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The growing need for new applications and software has driven developers to seek quick development options. As a result, the low-code/no-code technology platform emerges as a potential option, leading to the adoption of low-code and no-code technologies in enterprises becoming a focus of inquiry. This study aims to examine users' behavioral intentions toward the adoption of the low-code/no-code technology platform, considering the increasing need for new applications. The Extended Unified Theory of Acceptance and Use of Technology (UTAUT) model serves as the theoretical framework for understanding the factors influencing individuals’ intentions to adopt low-code or no-code technologies. The study focused on the five key components of the model: Performance Expectation (PE), Effort Expectation (EE), Social Influence (SI), Perceived Risk (PR), and Perceived Cost (PC). Based on the surveys and data analysis techniques, the findings show relationship between these five categories with an individual's Behavioral Intention (BI) to adopt low-code/no-code technologies. Furthermore, the analysis identifies the most significant BI construct. These findings are beneficial to businesses seeking to enhance efficiency and expedite application development processes in response to increasing digital demands. In general, this study contributes to the topic of technology adoption and improves our understanding of the practicality of the Extended UTAUT model. Doi: 10.28991/HEF-2024-05-01-07 Full Text: PDF

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Section:  Code Generator  Runtime Execution Modelmentioning

confidence: 99%