A method for Smart Idea Allocation in crowd-based idea selection

Banken, Victoria; Ilmer, Quirin; Seeber, Isabella; Haeussler, Stefan

doi:10.1016/j.dss.2019.113072

Cited by 15 publications

(8 citation statements)

References 51 publications

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“…The idea evaluation and selection phase is a challenging task complicated by several factors, including the expert level of decision-makers and the complexity of the cognitive processes (Banken et al, 2019). While decision-makers can have a large dataset during the idea collection phase, it is unclear which approach is effective for evaluating and selecting these ideas.…”

Section: Mcdm In Open Innovation Contextmentioning

confidence: 99%

“…While most related studies generally focus on gathering ideas in depth, there are only a few studies considering the idea evaluation phase (Banken et al, 2019;Özaygen and Balagué, 2018;Yang, M., Ooi, Y. M., & Han, C., 2022). This limited research has attempted to gain insight into the idea evaluation phase.…”

Section: Introductionmentioning

confidence: 99%

“…This limited research has attempted to gain insight into the idea evaluation phase. For instance, Banken et al (2019) suggest nine design principles and an approach for Smart Idea Allocation (SIA) as a design artifact, which gathers ideas into small subsets, uses cognitive biases, and fairly distributes the expected cognitive load among raters. Özaygen and Balagué (2018) analyze idea evaluation by participants in cooperative crowd innovation contests within a network perspective called social network analysis.…”

Section: Introductionmentioning

confidence: 99%

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An Idea Evaluation Phase in Online Communities: A Case on the COVID-19 Innovation Platform

Çubukcu,

Akarçay Pervin,

Boz

et al. 2023

JOSI

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The COVID-19 pandemic has not only created public health issues but also sectoral problems and economic crises. As a response to this unexpected phenomenon, online communities have also started initiatives to tackle it. One of these initiatives was carried out in Turkey. Innovative project ideas were gathered from entrepreneurs and potential contributors regarding the problems brought about by the COVID-19 pandemic. The program occurred over three months (April 2020 to June 2020) through an open innovation platform in Turkey. The scope of this program is to collect business ideas from entrepreneurs and potential contributors, mature ideas with mentors and other entrepreneurs, and select the best ones by jury. In the process of evaluating the ideas, the weighted sum method (WSM) was used by the jury. The main purpose of this study is to reveal the effectiveness of the WSM via online communities in the idea evaluation phase. To demonstrate how this, we implemented different multi-criterion decision-making (MCDM) methods to the decision matrix dataset. We compare the results of WSM to those of the other two well-known (TOPSIS and VIKOR) MCDM methods. Besides, we conducted regression and sensitivity analysis to further clarify the differences between the results. Thereafter, we combine the rankings obtained from three MCDM methods by applying three aggregation methods as a compromise solution for the final decision. We find that the decision-makers can use WSM, TOPSIS, VIKOR, and aggregation methods separately according to the criterion weighting and the level of confidence in the scoring of the alternatives.

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Section: Mcdm In Open Innovation Contextmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Idea Evaluation Phase in Online Communities: A Case on the COVID-19 Innovation Platform

Çubukcu,

Akarçay Pervin,

Boz

et al. 2023

JOSI

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“…In the NPD process, the first and foremost step is to select the ideas that are the most profitable, manufacturable, and sustainable in the market among all other alternatives, and thus an ontology of new product idea selection (NPIS) has drawn significantly attention from academics and industrial practitioners. Because of the limited information and understanding on customers and markets at the FFE stage, developing an effective scheme for NPIS is challenging and complicated [15,16]. In principle, there are 11 types of approaches for achieving NPIS, namely, technical analysis, marketing analysis, financial analysis, organisational analysis, strategic analysis, relationship analysis, industrial analysis, competitive analysis, similar case analysis, consumer and consumption analysis, and expert analysis [17].…”

Section: New Product Idea Selectionmentioning

confidence: 99%

New Product Idea Selection in the Fuzzy Front End of Innovation: A Fuzzy Best-Worst Method and Group Decision-Making Process

Chan

Tsang

et al. 2021

Mathematics

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New product development (NPD) is essential to most business organizations to create new values and protect existing values for maintaining high profitability and sustainability. However, the success of NPD projects is deemed to be difficult and challenging owing to high organizational complexity, uncertain business environment, and time-critical innovation. Under the smart manufacturing paradigm, NPD is an active research area to establish effective measures through the adoption of systematic approaches so as to facilitate idea management in the fuzzy front end for the product innovation. In this paper, the domain of new product idea selection is focused on and enhanced by means of the multi-criteria decision-making (MCDM) approach, in which multiple criteria and sub-criteria can be considered in the selection process. Among a number of MCDM approaches, the fuzzy set theory and best-worst method (BWM) are integrated as the fuzzy BWM in this study to structure the new product idea selection process under a group decision-making process. The hierarchy structure for the new product idea selection is also established to consider the perspectives of finance, marketing, engineering, manufacturing, and sustainability. Overall speaking, this study contributes to the field of NPD through overcoming the new product idea selection problem, while the group decision-making process is incorporated into the fuzzy BWM.

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“…Selain itu, faktor yang menyebabkan kurang efektifnya metode tersebut adalah kemungkinan terlalu banyaknya jumlah ide yang diberikan sehingga mempersulit dalam pengelompokan serta penentuan kualitas ide terbaik berdasarkan solusi yang diberikan dan kriteria lainnya. Saat mengevaluasi ide, penilai dapat dengan cepat mengalami kelebihan beban kognitif yang dapat mengakibatkan kinerja seleksi yang buruk [2].…”

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Penerapan AHP dan Normalisasi SAW sebagai Pendukung Promosi Ide pada Mobile IMS

Romadhoni

Prapanca

2022

JINACS

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Membuat ide merupakan kegiatan mencari solusi, mengolah pikiran, menganalisis, dan menemukan pengetahuan. Teknologi informasi belakangan ini mencakup banyak hal. Pada praktik pengelolaan ide yang masih menggunakan cara tradisional, terdapat banyak hambatan yang dipengaruhi oleh banyak faktor yaitu faktor internal dari individu itu sendiri maupun faktor eksternal. Kehadiran teknologi menjadikan interaksi pada ide manajemen lebih sehingga sekelompok orang dapat membuat interaksi untuk ide yang berawal dari gagasan satu orang menjadi buah pikiran banyak orang. Interaksi ini merupakan salah satu yang menjadi acuan bahwasanya kualitas ide atau gagasan tersebut patut dipertimbangkan. Dalam penelitian ini dikembangkan sistem manajemen ide yang menerapkan metode pendukung keputusan dengan mengukur secara matematis terhadap interaksi dan poin-poin penting dalam sebuah ide. Metode Analytical Hierarchy Process dan metode Simple Additive Weighting digunakan sebagai pemilihan ide terbaik dalam sebuah kelompok berdasarkan tingkat kepentingan kriteria yang diharapkan. Dalam pengujian iterasi, perhitungan AHP dan SAW dapat diimplementasikan pada program aplikasi. Iterasi program yang dilakukan dapat menghitung nilai dari data kuantitatif. Dalam penerapan metode, terdapat beberapa kekurangan yang menyebabkan sistem menjadi sulit digunakan. Metode Modifikasi AHP menghasilkan peluang konsistensi yang sebelumnya hanya 17,484% meningkat menjadi 99,98% dan mudah digunakan. Dari modifikasi yang dilakukan akan menghindarkan pengguna untuk melakukan input yang tidak konsisten. Penggunaan kombinasi metode AHP dan SAW akan meningkatkan kinerja berdasarkan waktu eksekusi dan penggunaan sumber daya perangkat.

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A method for Smart Idea Allocation in crowd-based idea selection

Cited by 15 publications

References 51 publications

An Idea Evaluation Phase in Online Communities: A Case on the COVID-19 Innovation Platform

An Idea Evaluation Phase in Online Communities: A Case on the COVID-19 Innovation Platform

New Product Idea Selection in the Fuzzy Front End of Innovation: A Fuzzy Best-Worst Method and Group Decision-Making Process

Penerapan AHP dan Normalisasi SAW sebagai Pendukung Promosi Ide pada Mobile IMS

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