TY - CHAP

T1 - Understanding Low-Code Evolution, Adoption and Ecosystem for Software Development

AU - Naqvi, Syed Asad Ali

AU - Drews, Paul

N1 - Conference code: 15

PY - 2025

Y1 - 2025

N2 - Faced with the high demands of digital transformation, organizations have turned to low-code as a solution, utilizing visual programming to meet these challenges. Given that low-code is an emerging research phenomenon, there is little understanding of its origins, adoption motives and approaches, and its ecosystem. In my PhD thesis, I use qualitative and visualization methods to address these research gaps. My work has five contributions. First, I developed an intellectual map of the low-code literature and identified related research streams. Second, I created a model underscoring aspects that support or hinder low-code adoption. Third, I provide use cases demonstrating low-code adoption in established organizations and its use in the public sector during crises. Fourth, I identify the technology partnerships forming the low-code ecosystem. Fifth, I investigate the impact of generative AI on low-code adoption and whether it presents a threat to the low-code ecosystem.In conclusion, I outline potential directions for future research.

AB - Faced with the high demands of digital transformation, organizations have turned to low-code as a solution, utilizing visual programming to meet these challenges. Given that low-code is an emerging research phenomenon, there is little understanding of its origins, adoption motives and approaches, and its ecosystem. In my PhD thesis, I use qualitative and visualization methods to address these research gaps. My work has five contributions. First, I developed an intellectual map of the low-code literature and identified related research streams. Second, I created a model underscoring aspects that support or hinder low-code adoption. Third, I provide use cases demonstrating low-code adoption in established organizations and its use in the public sector during crises. Fourth, I identify the technology partnerships forming the low-code ecosystem. Fifth, I investigate the impact of generative AI on low-code adoption and whether it presents a threat to the low-code ecosystem.In conclusion, I outline potential directions for future research.

KW - Business informatics

KW - low-code

KW - Low-code platforms

KW - low-code ecosystem

KW - technology adaption

KW - software development

UR - http://www.scopus.com/inward/record.url?scp=85218470263&partnerID=8YFLogxK

M3 - Article in conference proceedings

T3 - CEUR workshop proceedings

BT - ICSOB-C 2024, Software Business: PhD Retreat and Posters & Demos Track 2024

A2 - , Deekshitha

A2 - Santos, Rodrigo

A2 - Khanna, Dron

A2 - Elshan, Edona

PB - Rheinisch-Westfälische Technische Hochschule Aachen

CY - Aachen

T2 - 15th International Conference on Software Business - ICSOB 2024

Y2 - 18 November 2024 through 20 November 2024

ER -