Minimizing Complementors Risk in Third-Party Innovation: A Qualitative Comparative Analysis (QCA) of Digital Platform Configurations

Dellermann, Dominik; Reck, Fabian

doi:10.24251/hicss.2017.578

Cited by 3 publications

(1 citation statement)

References 33 publications

(67 reference statements)

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“…It has been rapidly applied in management research in recent years and has been used in questionnaire design, second-hand data, and case studies [28]. Moreover, the effective integration of the fsQCA method and mainstream statistical analysis methods have provided a broad opportunity to expand the social science theory's descriptive, predictive, and explanatory power [29].…”

Section: Methodsmentioning

confidence: 99%

User Acceptance of Information Feed Advertising: A Hybrid Method Based on SEM and QCA

Zhao

Yan

2020

Future Internet

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It is of great significance for enterprises’ development to effectively use mobile Internet to carry out information feed advertising. This paper aims to study the influence factors and effect of the users’ acceptance intention of information feed advertising through empirical analysis to provide references for further optimizing information feed advertising strategy. Traditional quantitative analysis methods, such as the Structural Equation Model (SEM), can only measure a single factor’s influence from an individual perspective. Therefore, we introduce the Qualitative Comparative Analysis (QCA) and present a two-stage hybrid method based on SEM and QCA. In the first stage, we analyze the influence of a single variable on the acceptance intention of information feed advertising by SEM. Then, in the second stage, we analyze the impact of different variable combinations by QCA. Based on the actual questionnaire data, we define six independent variables and use AMOS, SPSS, and fsQCA to carry out SEM analysis and the fuzzy-set-based QCA analysis, respectively. The SEM analysis results show that the four factors (including consistency, informativeness, sociability, and advertising reward) have a significant positive impact on user acceptance of information feed advertising. On the contrary, perceived advertising clustering has a significant negative impact. In addition, accuracy has no considerable effect. The QCA analysis reveals that seven constructs of six variables can all significantly enhance information feed ads’ acceptance intention.

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Section: Methodsmentioning

confidence: 99%

User Acceptance of Information Feed Advertising: A Hybrid Method Based on SEM and QCA

Zhao

Yan

2020

Future Internet

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Research on the development of an effective mechanism of using public online education resource platform: TOE model combined with FS-QCA

Chen,

Wang

et al. 2023

Interactive Learning Environments

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Accelerating Entrepreneurial Decision-Making Through Hybrid Intelligence

Dellermann¹

2020

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Minimizing Complementors Risk in Third-Party Innovation: A Qualitative Comparative Analysis (QCA) of Digital Platform Configurations

Abstract: Abstract

Cited by 3 publications

References 33 publications

User Acceptance of Information Feed Advertising: A Hybrid Method Based on SEM and QCA

User Acceptance of Information Feed Advertising: A Hybrid Method Based on SEM and QCA

Research on the development of an effective mechanism of using public online education resource platform: TOE model combined with FS-QCA

Accelerating Entrepreneurial Decision-Making Through Hybrid Intelligence

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Minimizing Complementors Risk in Third-Party Innovation: A Qualitative Comparative Analysis (QCA) of Digital Platform Configurations

Abstract: Abstract

Cited by 3 publications

References 33 publications

User Acceptance of Information Feed Advertising: A Hybrid Method Based on SEM and QCA

User Acceptance of Information Feed Advertising: A Hybrid Method Based on SEM and QCA

Research on the development of an effective mechanism of using public online education resource platform: TOE model combined with FS-QCA

Accelerating Entrepreneurial Decision-Making Through Hybrid Intelligence

Contact Info

Product

Resources

About

Minimizing Complementors Risk in Third-Party Innovation: A Qualitative Comparative Analysis (QCA) of Digital Platform Configurations