Discovering emerging business ideas based on crowdfunded software projects

Lee, Won Sang; Sohn, So Young

doi:10.1016/j.dss.2018.10.013

Cited by 26 publications

(28 citation statements)

References 52 publications

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“…As user personality traits can be extracted from text information in OUIC (Mack and Landau, 2020), we can seek to explore those users with innovation traits in future research. Finally, our findings lack enough research about Ideas content, which may have an important effect on idea quality (Lee and Sohn, 2019; Zhu et al , 2019). Thereby, we will seek to investigate the relationship between text characteristics (i.e.…”

Section: Discussionmentioning

confidence: 69%

“…Following most extant studies, our study constructs control variables from two aspects, the information itself and review feedback, to control the influence of other factors on the quality of user creativity in OUIC (Gimpel et al , 2020; Lee and Sohn, 2019).…”

Section: Methodsmentioning

confidence: 99%

“…In general, previous research on OUIC can be divided into three categories: idea content, idea publishers and comment feedback, whereas few studies have paid enough attention on employees of OUIC (Hober et al , 2019; Lee and Sohn, 2019; Zheng et al , 2018). In terms of idea features, various authors propose that idea’s title length (Wang et al , 2018), content length (Cho and Chan, 2019) and innovativeness (Zhu et al , 2019) significantly affect the ideas quality.…”

Section: Literature Reviewmentioning

confidence: 99%

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The impact of employee participation in online innovation communities on idea quality

Liu

2020

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Purpose Online user innovation community (OUIC) has become a vital source for enterprises to obtain user innovation ideas and interact with users in new product development. However, most studies only focus on the relationship between users and ideas, often ignoring the influence of employees in the innovation platform. The purpose of this study is to explore the impact of employee behaviors on idea quality in OUIC. Design/methodology/approach In this paper, the authors collected sample data of open user innovation community – Idea Exchange – and then, the authors examined the direct roles of employee’s idea generation behaviors and idea promotion behaviors on idea quality and the moderating roles of social networks position and enthusiasm by using binary logistic regression model. Findings Results indicated that employee’s idea generation behaviors and idea promotion behaviors have a positive influence on users’ idea quality. Also, the social network position and characteristics show the moderation effect of employee behavior and idea quality. Originality/value This study is different from prior studies because it emphasizes the role of employees in the open source platform. The findings suggest that enterprises and platform managers pay more attention to the impact of employees and improve the quality of ideas and promote the development of OUIC.

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Section: Discussionmentioning

confidence: 69%

Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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The impact of employee participation in online innovation communities on idea quality

Liu

2020

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“…The name of the Crowdlending platform is GandengTangan. For five months of running, GandengTangan already has three projects funded [14]. The emergence of a crowdfunding platform and crowdlending in Indonesia is a sign that everyone now has easy access to funding.…”

Section: Literarture Reviewmentioning

confidence: 99%

Crowdfunding as a Business Innovation to Finance SMEs for Sustainable Development Goals to Anticipating the Impact of Corona Virus Pandemic Disease (Covid-19) in Indonesia

Wahjono¹,

Marina²,

Fam³

et al. 2021

Proceedings of the 4th International Conference on Sustainable Innovation 2020-Accounting and Management (ICoSIAMS 2020)

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The purpose of this research is to see the potential for crowdfunding in financing SMEs and startup businesses during the Corona Virus Pandemic (Covid19) in Indonesia in the context of Sustainable Development Goals as a Business Innovation. The questionnaire was taken to SME owners who have seen crowdfunding domiciled in Indonesia, to see the effect of crowdfunding perceptions, social norms, regulations, entrepreneurship and technology, and the market on crowdfunding supported capital. Four variables (social norms, regulation, employers, and technology) studied showed a positive and significant effect, except for the perception of crowdfunding variable which showed a weak and insignificant effect. The limitation of this research was carried out in Indonesia during the Covid 19 period with a policy of social distancing and working from home.

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“…However, distance-based algorithms, which is used to measure the similarity between problem query and solutions from textual datasets, are not the only available solutions to idea mining. For example, deep learning [8], Information Retrieval (IR) [17], topic modeling [18], bibliometric [19], social network analysis [20], association rule mining [21], and collaborative filtering algorithms [11] could also be used for idea mining purposes. Therefore, in this paper, idea mining is described as -the process of using text mining (e.g., topic modeling) in general, and more specific techniques such as machine learning techniques (e.g., deep learning, association rule mining, collaborative filtering, etc.…”

Section: Introductionmentioning

confidence: 99%

Adapting CRISP-DM for Idea Mining

Ayele¹

2020

IJACSA

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Data mining project managers can benefit from using standard data mining process models. The benefits of using standard process models for data mining, such as the de facto and the most popular, Cross-Industry-Standard-Process model for Data Mining (CRISP-DM) are reduced cost and time. Also, standard models facilitate knowledge transfer, reuse of best practices, and minimize knowledge requirements. On the other hand, to unlock the potential of ever-growing textual data such as publications, patents, social media data, and documents of various forms, digital innovation is increasingly needed. Furthermore, the introduction of cutting-edge machine learning tools and techniques enable the elicitation of ideas. The processing of unstructured textual data to generate new and useful ideas is referred to as idea mining. Existing literature about idea mining merely overlooks the utilization of standard data mining process models. Therefore, the purpose of this paper is to propose a reusable model to generate ideas, CRISP-DM, for Idea Mining (CRISP-IM). The design and development of the CRISP-IM are done following the design science approach. The CRISP-IM facilitates idea generation, through the use of Dynamic Topic Modeling (DTM), unsupervised machine learning, and subsequent statistical analysis on a dataset of scholarly articles. The adapted CRISP-IM can be used to guide the process of identifying trends using scholarly literature datasets or temporally organized patent or any other textual dataset of any domain to elicit ideas. The ex-post evaluation of the CRISP-IM is left for future study.

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Discovering emerging business ideas based on crowdfunded software projects

Cited by 26 publications

References 52 publications

The impact of employee participation in online innovation communities on idea quality

The impact of employee participation in online innovation communities on idea quality

Crowdfunding as a Business Innovation to Finance SMEs for Sustainable Development Goals to Anticipating the Impact of Corona Virus Pandemic Disease (Covid-19) in Indonesia

Adapting CRISP-DM for Idea Mining

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