The Fit Between Value Proposition Innovation and Technological Innovation in the Digital Environment: Implications for the Performance of Startups

Guo, Hai; Yang, Jing; Han, Jiaping

doi:10.1109/tem.2019.2918931

Cited by 45 publications

(21 citation statements)

References 74 publications

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“…Äyväri et al ( 2017 ) provide a conceptual analysis on value proposition tools to be used in future empirical research and in building managerial insight. (Guo et al 2019 ) examined the fit between value proposition innovation and technological innovation (exploitative vs explorative) for the performance of start-ups in the digital environment. They conducted an on-site survey of 285 digital startup companies in one of the biggest digital economies and discovered that exploratory innovation strengthens the beneficial effect of value proposition innovation on start-up performance, whereas exploitative innovations weaken this beneficial effect.…”

Section: Related Work and Literature Reviewmentioning

confidence: 99%

Value expansion and sense making

Zervina

2022

Behaviormetrika

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The primary purpose of companies is to create value. Companies use competitive analysis to develop their value proposition. Performing this analysis manually is a time-consuming task. Automating the process of identifying and expanding value proposition, as well as categorizing it, would bring benefits for industries. This paper aims to summarize and systematize the results of previous research on a mechanism for automatically identifying companies’ value proposition. This is a novel task and with this work the author hopes to show feasibility and set a baseline. To narrow down the task, air transportation domain was selected. The goal of the research was to obtain insights and systemize values; to achieve it, the author utilized a bottom-up data-driven approach. The first step was to create a corpus of values. 96 respondents conducted a survey with open-end questions; 796 start-ups were identified and 96 annotators labelled start-ups’ landing pages by annotating values. The next step was structuring data for a deeper understanding of values by examining annotations and organizing values into taxonomies. The practical use of the results includes machine learning training material for automation of value-related tasks.

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Section: Related Work and Literature Reviewmentioning

confidence: 99%

Value expansion and sense making

Zervina

2022

Behaviormetrika

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“…Successful companies use the business model canvas to clarify their value proposition, key resources, activities, partners, customer relationships, segments and channels, cost structures, and revenue streams [30]. The companies should contribute technology to their business models and improve the impact of value proposition innovation on their performance [31], [32]. Furthermore, increasing product life cycle and changing market demands affect value proposition innovation [7].…”

Section: Value Propositionmentioning

confidence: 99%

The Impact of Technology and Change Management on Value Proposition Innovation: An Iranian Study

Hajishirzi

Costa

Aparício

2024

IEEE Trans. Eng. Manage.

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“… Chen and Lin (2021) built the Sense-Transform-Drive (STD) conceptual model based on the dynamic capabilities theory to clarify business intelligence’s core capabilities. Moreover, Guo et al (2021) utilized the dynamic capabilities perspective to explain the digital start-up’s alignments between business model innovation and technological innovation. These studies can provide a theoretical basis for this study by linking the potential of dynamic capability with the highly uncertain digital era.…”

Section: Literature Reviewmentioning

confidence: 99%

Start-Up’s Road to Disruptive Innovation in the Digital Era: The Interplay Between Dynamic Capabilities and Business Model Innovation

Zhang

Feng²,

Wang³

et al. 2022

Front. Psychol.

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The emergence and infusion of digital technologies bring greater chances for start-ups to conduct disruptive innovation through digital entrepreneurship. Despite the existed business practices, the happening mechanism of start-up’s disruptive innovation in the digital economy context remains unclear. This study aims to understand the evolutionary mechanism and fulfillment path start-ups’ disruptive innovation in the digital era. The longitudinal case study is conducted for a Chinese Internet start-up that successfully launched disruptive innovation under the digital economy background. Adopting a process perspective, this study analyzes the evolutionary phases of digital disruptive innovation. Moreover, this study identifies the digital technologies adoption, dynamic capabilities deployment, and business model innovation as the key pillars, and their interactions. Finally, this study induces and proposes its evolution mechanism and fulfillment path models. This study enriches the research scope of disruptive innovation and digital entrepreneurship. This study can offer theoretical guidance for the start-ups’ disruptive innovation in the digital era, and practical implications for implementing a digital catching-up strategy.

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The Fit Between Value Proposition Innovation and Technological Innovation in the Digital Environment: Implications for the Performance of Startups

Cited by 45 publications

References 74 publications

Value expansion and sense making

Value expansion and sense making

The Impact of Technology and Change Management on Value Proposition Innovation: An Iranian Study

Start-Up’s Road to Disruptive Innovation in the Digital Era: The Interplay Between Dynamic Capabilities and Business Model Innovation

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