Understanding Partnering Strategies in the Low-Code Platform Ecosystem

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

Understanding Partnering Strategies in the Low-Code Platform Ecosystem. / Naqvi, Syed Asad Ali; Zimmer, Markus Philipp; Drews, Paul et al.
Proceedings of the 58th Hawaii International Conference on System Sciences: Hilton Waikoloa Village, January 7-10, 2025. ed. / Tung X. Bui. Honolulu: University of Hawaii at Manoa, 2025. p. 6226-6235.

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Naqvi, SAA, Zimmer, MP, Drews, P & Basole, RC 2025, Understanding Partnering Strategies in the Low-Code Platform Ecosystem. in TX Bui (ed.), Proceedings of the 58th Hawaii International Conference on System Sciences: Hilton Waikoloa Village, January 7-10, 2025. University of Hawaii at Manoa, Honolulu, pp. 6226-6235, 58th Hawaii International Conference on System Sciences - HICSS 2025, Waikoloa, Hawaii, United States, 07.01.25. <https://hdl.handle.net/10125/109592>

APA

Naqvi, S. A. A., Zimmer, M. P., Drews, P., & Basole, R. C. (2025). Understanding Partnering Strategies in the Low-Code Platform Ecosystem. In T. X. Bui (Ed.), Proceedings of the 58th Hawaii International Conference on System Sciences: Hilton Waikoloa Village, January 7-10, 2025 (pp. 6226-6235). University of Hawaii at Manoa. https://hdl.handle.net/10125/109592

Vancouver

Naqvi SAA, Zimmer MP, Drews P, Basole RC. Understanding Partnering Strategies in the Low-Code Platform Ecosystem. In Bui TX, editor, Proceedings of the 58th Hawaii International Conference on System Sciences: Hilton Waikoloa Village, January 7-10, 2025. Honolulu: University of Hawaii at Manoa. 2025. p. 6226-6235

Bibtex

@inbook{ae55e617e3d547e3b7c3523968a55ef1,
title = "Understanding Partnering Strategies in the Low-Code Platform Ecosystem",
abstract = "Low-code platforms (LCPs) allow the development, testing, and deployment of software applications with minimal manual coding by using pre-built software components and visual design tools. LCPs frequently enter into technology partnerships to offer extensive capabilities required for software development. In this study, we identify and characterize these technology partnerships to understand and develop the structure of the LCP ecosystem. We model the LCP ecosystem and identify nine types of technology partnerships. In doing so, we advance our understanding in three key areas: (1) provide insight into the evolving LCP ecosystem, (2) reveal that LCP vendors use various technological partnerships and strategies across different capability areas with varying partner network sizes and capability compositions, and (3) demonstrate the value of ecosystem visualization. Collectively, our findings can help LCP users and developers to understand the foundational, competitive, and niche partnership strategies and enable LCP vendors to innovate and collaborate effectively.",
keywords = "Business informatics, Low-code platforms, software ecosystem, inter-firm collaboration, visualization",
author = "Naqvi, {Syed Asad Ali} and Zimmer, {Markus Philipp} and Paul Drews and Basole, {Rahul C.}",
year = "2025",
month = jan,
day = "7",
language = "English",
pages = "6226--6235",
editor = "Bui, {Tung X.}",
booktitle = "Proceedings of the 58th Hawaii International Conference on System Sciences",
publisher = "University of Hawaii at Manoa",
address = "United States",
note = "58th Hawaii International Conference on System Sciences - HICSS 2025, HICSS 2025 ; Conference date: 07-01-2025 Through 10-01-2025",

}

RIS

TY - CHAP

T1 - Understanding Partnering Strategies in the Low-Code Platform Ecosystem

AU - Naqvi, Syed Asad Ali

AU - Zimmer, Markus Philipp

AU - Drews, Paul

AU - Basole, Rahul C.

N1 - Conference code: 58

PY - 2025/1/7

Y1 - 2025/1/7

N2 - Low-code platforms (LCPs) allow the development, testing, and deployment of software applications with minimal manual coding by using pre-built software components and visual design tools. LCPs frequently enter into technology partnerships to offer extensive capabilities required for software development. In this study, we identify and characterize these technology partnerships to understand and develop the structure of the LCP ecosystem. We model the LCP ecosystem and identify nine types of technology partnerships. In doing so, we advance our understanding in three key areas: (1) provide insight into the evolving LCP ecosystem, (2) reveal that LCP vendors use various technological partnerships and strategies across different capability areas with varying partner network sizes and capability compositions, and (3) demonstrate the value of ecosystem visualization. Collectively, our findings can help LCP users and developers to understand the foundational, competitive, and niche partnership strategies and enable LCP vendors to innovate and collaborate effectively.

AB - Low-code platforms (LCPs) allow the development, testing, and deployment of software applications with minimal manual coding by using pre-built software components and visual design tools. LCPs frequently enter into technology partnerships to offer extensive capabilities required for software development. In this study, we identify and characterize these technology partnerships to understand and develop the structure of the LCP ecosystem. We model the LCP ecosystem and identify nine types of technology partnerships. In doing so, we advance our understanding in three key areas: (1) provide insight into the evolving LCP ecosystem, (2) reveal that LCP vendors use various technological partnerships and strategies across different capability areas with varying partner network sizes and capability compositions, and (3) demonstrate the value of ecosystem visualization. Collectively, our findings can help LCP users and developers to understand the foundational, competitive, and niche partnership strategies and enable LCP vendors to innovate and collaborate effectively.

KW - Business informatics

KW - Low-code platforms

KW - software ecosystem

KW - inter-firm collaboration

KW - visualization

M3 - Article in conference proceedings

SP - 6226

EP - 6235

BT - Proceedings of the 58th Hawaii International Conference on System Sciences

A2 - Bui, Tung X.

PB - University of Hawaii at Manoa

CY - Honolulu

T2 - 58th Hawaii International Conference on System Sciences - HICSS 2025

Y2 - 7 January 2025 through 10 January 2025

ER -

Links

Recently viewed

Publications

  1. Knowledge transfer during the integration of knowledge-intensive acquisitions
  2. Deciding between the Covariance Analytical Approach and the Change-Score Approach in Two Wave Panel Data
  3. Dynamic efficiency and path dependencies in venture capital markets
  4. Machine Learning Applications in Convective Turbulence
  5. Anomalous Results in G-Factor Models
  6. Teachers’ temporary support and worked-out examples as elements of scaffolding in mathematical modeling
  7. Timing matters: Distinct effects of nitrogen and phosphorus fertilizer application timing on root system architecture responses
  8. Study of Single Filament Dielectric Barrier Discharge in Argon
  9. Clashing Values
  10. Micro and Macro Perspectives in Organization Theory
  11. Technical concept and evaluation design of the state subsidized project [Level-Q]
  12. Towards a Comprehensive Framework for Environmental Management Accounting
  13. Missing links
  14. Does an individualized learning design improve university student online learning? A randomized field experiment
  15. Separable models for interconnected production-inventory systems
  16. Efficacy of a Web-Based Intervention With Mobile Phone Support in Treating Depressive Symptoms in Adults With Type 1 and Type 2 Diabetes
  17. Hacking the Classroom
  18. Mixed Pickels
  19. Combining sense of place theory with the ecosystem services concept: empirical insights and reflections from a participatory mapping study
  20. Dynamic Semantic Web Content for Museum Guides
  21. Knowledge Decolonization à la Grounded Theory
  22. Artificial intelligence
  23. Toward Automatically Labeling Situations in Soccer

Press / Media

  1. I am not a Hacker