Generation of new service concepts: A morphology analysis and genetic algorithm approach

The concept generation is the first and most important stage in the process of new service development (NSD). Morphology analysis (MA), which is aimed at modeling a complex problem, provides strong possibility of revealing unexpected new service concepts (NSCs), but the weakness lies in screening and selecting satisfactory ones. The NSCs derived through MA may be too much for further investigation. In response, this study proposes a systematic approach to generation of NSCs based on MA and genetic algorithm (GA). The proposed approach is comprised of two stages, NSC derivation and NSC screening. During the first stage, MA is conducted to derive service concepts by exploring all possible combinations of a morphology matrix. The second stage deals with screening concepts that have been derived at the first stage. GA is employed here not merely as an optimization engine, but also as a search tool with screening criteria. The practical utility and benefits are that the possible and reasonable NSCs can be identified at the very first time in the process of NSD. In addition, it may lessen the pressures, such as time constraints, of concept generation. The final result, a set of 10-20 satisfactory NSCs, is expected to aid decision making on generation of NSCs. A case on game service is presented to illustrate the proposed approach in detail.

[1]  Axel Johne,et al.  Insurance Product Development: Managing the Changes , 1993 .

[2]  R. Cooper,et al.  The Impact of Product Innovativeness on Performance , 1991 .

[3]  Mohan V. Tatikonda,et al.  New service development: areas for exploitation and exploration , 2002 .

[4]  Ingoo Han,et al.  Utility-based double auction mechanism using genetic algorithms , 2008, Expert Syst. Appl..

[5]  Ann E. Marucheck,et al.  Service Management - Academic Issues and Scholarly Reflections from Operations Management Researchers , 2007, Decis. Sci..

[6]  Jordan J. Louviere,et al.  Analyzing Decision Making: Metric Conjoint Analysis , 1988 .

[7]  Wei Chen,et al.  An integrated computational intelligence approach to product concept generation and evaluation , 2006 .

[8]  Karl T. Ulrich,et al.  Product Design and Development , 1995 .

[9]  Scott Edgett,et al.  The Traits of Successful New Service Development , 1994 .

[10]  A. Johne,et al.  New service development: a review of the literature and annotated bibliography , 1998 .

[11]  Johan G. Wissema,et al.  Morphological analysis: Its application to a company TF investigation , 1976 .

[12]  Chulhyun Kim,et al.  A systematic approach to new mobile service creation , 2008, Expert Syst. Appl..

[13]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[14]  Semyon Savransky,et al.  Engineering of Creativity: Introduction to TRIZ Methodology of Inventive Problem Solving , 2000 .

[15]  Robert G. Cooper,et al.  Selecting Winning New Product Projects: Using the NewProd System , 1985 .

[16]  Wai Keung Wong,et al.  Genetic optimization of order scheduling with multiple uncertainties , 2008, Expert Syst. Appl..

[17]  John Christopher Miles,et al.  The conceptual design of commercial buildings using a genetic algorithm , 2001 .

[18]  Kah-Hin Chai,et al.  A TRIZ-Based Method for New Service Design , 2005 .

[19]  K. Y. Tam,et al.  Genetic algorithms, function optimization, and facility layout design , 1992 .

[20]  C. Perry,et al.  A customer‐oriented new service development process , 2002 .

[21]  Abdelaziz Bouras,et al.  Morphological analysis for product design , 2000, Comput. Aided Des..

[22]  Y. Wu,et al.  The optimisation of block layout and aisle structure by a genetic algorithm , 2002 .

[23]  Jen-Her Wu,et al.  What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model , 2005, Inf. Manag..

[24]  P. Banerjee,et al.  Genetically assisted optimization of cell layout and material flow path skeleton , 1997 .

[25]  Mark Huckvale,et al.  Using phonologically-constrained morphological analysis in continuous speech recognition , 2002, Comput. Speech Lang..

[26]  Ali Yakhlef,et al.  Customer involvement in new service development: a conversational approach , 2004 .

[27]  Tian-Tsong Ng,et al.  Application of genetic algorithms to conceptual design of a micro-air vehicle , 2002 .

[28]  Brian J. Carnahan,et al.  APPLICATION OF GENETIC ALGORITHMS TO THE DESIGN OF LIFTING TASKS , 1998 .

[29]  G. L. Shostack.  Designing Services That Deliver , 1996 .

[30]  Bin Li,et al.  Product configuration optimization using a multiobjective genetic algorithm , 2006 .

[31]  Victor B. Kreng,et al.  Modular product design with grouping genetic algorithm - a case study , 2004, Comput. Ind. Eng..

[32]  Christopher J. Easingwood,et al.  New product development for service companies , 1986 .

[33]  R. Cooper,et al.  0 0 0 0 An Investigation into the New Product Process : Steps , Deficiencies , and Impact , 1986 .

[34]  H. A. Rao.  A GENETIC ALGORITHMS-BASED APPROACH FOR DESIGN OF MANUFACTURING SYSTEMS : AN INDUSTRIAL APPLICATION , 1999 .

[35]  Michael Pidd,et al.  Tools for Thinking—Modelling in Management Science , 1997 .

[36]  Chris Storey,et al.  New service development: initiation strategies , 2000 .

[37]  F. Zwicky.  Discovery, Invention, Research through the morphological approach , 1969 .

[38]  Anikó Ekárt,et al.  Genetic algorithms in computer aided design , 2003, Comput. Aided Des..

[39]  Shih-Wen Hsiao,et al.  Applying a hybrid approach based on fuzzy neural network and genetic algorithm to product form design , 2005 .

[40]  Zbigniew Michalewicz,et al.  Genetic Algorithms + Data Structures = Evolution Programs , 1992, Artificial Intelligence.

[41]  Kenneth G. Baker,et al.  Modeling New Product Screening Decisions , 1986 .

[42]  Marc H. Meyer,et al.  Creating a platform-based approach for developing new services , 2001 .

[43]  Byungun Yoon,et al.  A systematic approach for identifying technology opportunities: Keyword-based morphology analysis , 2005 .

[44]  Robert Johnston,et al.  Service operations management: return to roots , 1999 .

[45]  Jen-Her Wu,et al.  Development of a tool for selecting mobile shopping site: A customer perspective , 2006, Electron. Commer. Res. Appl..

[46]  Yeng-Horng Perng,et al.  Decision support for housing customization: A hybrid approach using case-based reasoning and genetic algorithm , 2006, Expert Syst. Appl..

[47]  Byungun Yoon,et al.  On the development of a technology intelligence tool for identifying technology opportunity , 2008, Expert Syst. Appl..