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A creative idea exploration model: based on customer complaints

Published: 16 July 2018 Publication History

Abstract

Creative idea is crucial for innovation and for the unceasing renewal of company's product and service offering. To ensure innovation performance, a mechanism that can assist in constantly generating creative ideas is an essential issue for innovative companies, but so far it has still not obtained feasible solutions. Previous research addressed some practical approaches with respect to idea generation by mining a large amount of data. Customer complaint, a data implies the gap between customer's expectations and the real situation with regard to the products or the services provided by the companies, possibly contains some creative idea inside. This research is motivated to develop a creative idea exploration model based on customer complaints (CIEMCC). In the proposed model, the technique of text mining is conduct with customer complaints of the company, to produce the potential ideas according to the associated keywords. Finally, the proposed model is verified and the generated ideas are evaluated. It is expected that the outcome of this research can contribute on the enhancement of innovation capability of companies.

References

[1]
McAdam, R. & McClelland, J. (2002), "Sources of new product ideas and creativity practices in the UK textile industry", Technovation, 22(2), pp. 113--121.
[2]
Hartono, A. (2015), "Developing new ideas & capability-based framework for innovation process: Firm analysis for Indonesia", Procedia-Social and Behavioral Sciences, 169, pp. 161--169.
[3]
Laursen, K. & Salter, A. (2006), "Open for innovation: The role of openness in explaining innovation performance among U.K. manufacturing firms", Strategic Management Journal, 27(2), 131--150.
[4]
Geum, Y. & Park, Y. (2016), "How to generate creative ideas for innovation: a hybrid approach of WordNet and morphological analysis", Technological Forecasting & Social Change, 111, pp. 176--187
[5]
Collins, L. (2006), "Opening Up the Innovation Process", Engineering Management Journal, 16(1), pp. 14--17.
[6]
Andersson, U., A' ngels, D., Mudambi, R. & Pedersen, T. (2016), "Technology, innovation and knowledge: The importance of ideas and international connectivity", Journal of World Business, 51(1), pp. 153--162.
[7]
Goetz, K. (2011), "How 3M gave everyone days off and created an innovation Dynamo", Co.Design Daily Newsletter, https://www.fastcodesign.com/1663137/how-3m-gave-everyone-days-off-and-created-an-innovation-dynamo
[8]
LEGO ideas,https://ideas.lego.com/dashboard
[9]
Lego idea Wikipedia, available on https://en.wikipedia.org/wiki/Lego_Idea
[10]
Schuhmacher, M. C. & Kuester, S. (2012), "Identification of lead user characteristics driving the quality of service innovation ideas", Creativity and Innovation Management, 21(4), pp. 427--442.
[11]
Christensen, K., Liland, K.H., Kvaal, K., Risvik, E., Biancolillo, A., Scholderer, J., Nørskov, S. & Næs, T. (2017), "Mining online community data: The nature of ideas in online communities", Food Quality and Preference, 62, pp. 246--256
[12]
Meik, J. (2014), "Complaining customers as innovation contributors: Stimulating service innovation through multichannel complaint management", Proceedings of Annual SRII Global Conference, pp. 125--132
[13]
Yilmaz, C., Varnali, K. & Kasnakoglu, T.B. (2016), "How do firms benefit from customer complaints?", Journal of Business Research, 69(2), pp. 944--955.
[14]
Pyon, C.U., Woo, J.Y. & Park, S.C. (2011), "Service improvement by business process management using customer complaints in financial service industry", Expert Systems with Applications, 38(4), pp. 3267--3279
[15]
Chen, C.K., Shie, A.J. & Yu, C.H. (2012), "A customer-oriented organisational diagnostic model based on data mining of customer-complaint databases", Expert Systems with Applications, 39(1), pp. 786--792.
[16]
Faed, A., Chang, E., Saberi, M., Hussain, K.O. & Azadeh, A. (2016), "Intelligent customer complaint handling utilising principal component and data envelopment analysis (PDA)", Applied Soft Computing, 47, pp. 614--630.
[17]
Brunswicker, S., Bertino, E. & Matei, S. (2015), "Big data for open digital innovation -- A research roadmap",Big Data Research, 2(2), pp. 53--58
[18]
Thorleuchter, D. & Van den Poel, D. "Identification of interdisciplinary ideas", Information Processing and Management, 52(6), pp. 1074--1085
[19]
Kayser, V. & Blind, K. (2017), "Extending the knowledge base of foresight: The contribution of text mining", Technological Forecasting & Social Change, 116, pp. 208--215
[20]
Jeong, B., Yoon, J. & Lee, J.M. (2017), "Social media mining for product planning: A product opportunity mining approach based on topic modeling and sentiment analysis", International Journal of Information Management (in press)
[21]
Agrawal, R. & Srikant, R. (1994), "Fast algorithms for mining association rules", Proceedings of the 20th International Conference on Very Large Data Bases, Santiago, pp. 407--419.
[22]
https://community.htc.com/tw/chat.php?type=product

Cited By

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  • (2021)A Systematic Literature Review about Idea Mining: The Use of Machine-Driven Analytics to Generate IdeasAdvances in Information and Communication10.1007/978-3-030-73103-8_53(744-762)Online publication date: 16-Apr-2021
  • (2020)A Process Model for Generating and Evaluating Ideas: The Use of Machine Learning and Visual Analytics to Support Idea MiningElectronic Government and the Information Systems Perspective10.1007/978-3-030-58957-8_14(189-203)Online publication date: 14-Sep-2020

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    cover image ACM Other conferences
    MISNC '18: Proceedings of the 5th Multidisciplinary International Social Networks Conference
    July 2018
    177 pages
    ISBN:9781450364652
    DOI:10.1145/3227696
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 16 July 2018

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    Author Tags

    1. Creative ideas
    2. Customer complaints
    3. Data mining
    4. Text mining

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    View all
    • (2021)A Systematic Literature Review about Idea Mining: The Use of Machine-Driven Analytics to Generate IdeasAdvances in Information and Communication10.1007/978-3-030-73103-8_53(744-762)Online publication date: 16-Apr-2021
    • (2020)A Process Model for Generating and Evaluating Ideas: The Use of Machine Learning and Visual Analytics to Support Idea MiningElectronic Government and the Information Systems Perspective10.1007/978-3-030-58957-8_14(189-203)Online publication date: 14-Sep-2020

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