The Application of Innovative Automobile Maintenance Services from Customers’ Viewpoints: A Hybrid Method*


Company experts and academicianshave paid significant attention to issues of new product/service development. However, few studies have been carried outtodiscuss innovative product/service development mindful of the competitive positions between competitors. This study introduces a hybrid method of positioning analysis, conjoint analysis and rough set theory to understand the competition positions and facilitate innovative product/service development from the customers’ perspective. The hybrid method is also supported by in-depth interviewing, factor analysis, preference regression, ideas simulation, ideas selection, and specific weight valuation methods. We choose the automobile maintenance industry in Taiwan, whose objective is to improve product/service qualities and enhance customers’ satisfaction and loyalty.This is also the subject of our empirical study. The results show that the proposed hybrid method is effective for innovative product/service development. Moreover, the empirical findings provide useful information for automobile maintenance providers so that they may be better able to pay attention to their competitive positions and their customers’ preferences, and better able to facilitate their innovative automobile maintenance service development, in order to achieve sustainable competitive advantages.


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C. Lee and C. Chung, "The Application of Innovative Automobile Maintenance Services from Customers’ Viewpoints: A Hybrid Method*," Journal of Data Analysis and Information Processing, Vol. 1 No. 4, 2013, pp. 59-66. doi: 10.4236/jdaip.2013.14007.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] C. Lee and P. Linneman, “Number of Registered Motor Vehicles,” Ministry of Transportation and Communications, 2012.
[2] T. S. Jan and C. T. Hsiao, “A Four-Role Model of the Automotive Industry Development in Developing Countries: A Case in Taiwan,” Journal of the Operational Re- search Society, Vol. 55, No. 11, 2004, pp. 1145-1155.
[3] L. L. Tang and T. S. Chuang, “Applying Kano Model to Develop Quality Function of Automobile Facilities,” Journal of Management, Vol. 21, No. 3, 2004, pp. 311-330.
[4] M. Kotabe, “Corporate Product Policy and Innovative Behavior of European and Japanese Multinationals: An Empirical Investigation,” Journal of Marketing, Vol. 54, No. 2, 1990, pp. 19-33.
[5] J. Weerawardena, “The Role of Marketing Capability in Innovation-Based Competitive Strategy,” Journal of Strategy Marketing, Vol. 11, No. 1, 2003, pp. 15-35.
[6] E. Danneels and E. J. Kleinschmidt, “Product Innovativeness from the Firm’s Perspective: Its Dimensions and Their Relation with Project Selection and Performance,” Journal of Product Innovation Management, Vol. 18, No. 6, 2001, pp. 357-373.
[7] A. Kwaku, “Market Orientation and Innovation,” Journal of Business Research, Vol. 35, No. 2, 1996, pp. 93-104.
[8] Y. Wind and V. Mahajan, “Issues and Opportunities in New Product Development: An Introduction to the Special Issue,” Journal of Marketing Research, Vol. 34, No. 1, 1997, pp. 1-12.
[9] X. M. Song and J. Xie, “Does Innovativeness Moderate the Relationship between Cross-Functional Integration and Product Performance?” Journal of International Marketing, Vol. 8, No. 4, 2000, pp. 61-89.
[10] U. Brentani, “Innovative versus Incremental New Business Services: Different Keys for Achieving Success,” Journal of Product Innovation Management, Vol. 18, No. 3, 2001, pp. 169-187.
[11] R. Garcia and R. Calantone, “A Critical Look at Technological Innovation Typology and Innovativeness Terminology: A Literature Review,” Journal of Product Innovation Management, Vol. 19, No. 2, 2002, pp. 110-132.
[12] M. J. Benner and M. L. Tushman, “Exploitation, Exploration, and Process Management: The Productivity Dilemma Revisited,” Academy of Management Review, Vol. 28, No. 2, 2003, pp. 238-256.
[13] P. E. Green and A. M. Krieger, “An Application of a Product Positioning Model to Pharmaceutical Products,” Marketing Science, Vol. 11, No. 2, 1992, pp. 117-132.
[14] C. S. Whan, W. S. DeSarbo and P. T. Harker, “Product Positioning under Price Competition,” Management Science, Vol. 36, 1990, pp. 175-199.
[15] J. S. Chen and M. Uysal, “Market Positioning Analysis: A Hybrid Approach,” Annals of Tourism Research, Vol. 29, No. 4, 2002, pp. 987-1003.
[16] E. Haezendonck, A. Verbeke and C. Coeck, “Strategic Positioning Analysis for Seaports,” Research in Transportation Economics, Vol. 16, 2006, pp. 141-169.
[17] S. C. Carlos, F. C. Yolanda and G. N. Bego?a, “Internet Positioning and Performance of E-Tailers: An Empirical Analysis,” Electronic Commerce Research and Applications, Vol. 9, No. 3, 2010, pp. 237-248.
[18] R. G. Biesma, M. Pavlova, M. G. G. Van and W. Groot, “Using Conjoint Analysis to Estimate Employers Preferences for Key Competencies of Master Level Dutch Graduates Entering the Public Health Field,” Economics of Education Review, Vol. 26, No. 3, 2007, pp. 375-386.
[19] S. Y. Sohn and Y. H. Ju, “Conjoint Analysis for Recruiting High Quality Students for College Education,” Expert Systems with Applications, Vol. 37, No. 5, 2010, pp. 3777- 3783.
[20] I. Endrizzi, E. Menichelli, S. B. Johansen, N. V. Olsen and T. Naes, “Handling of Individual Differences in Rating-Based Conjoint Analysis,” Food Quality and Preference, Vol. 22, No. 3, 2011, pp. 241-254.
[21] Z. Pawlak, “Rough Sets,” International Journal of Information and Computer Sciences, Vol. 11, 1982, pp. 341- 356.
[22] P. Pattaraintakorna and N. Cerconeb, “A Foundation of Rough Sets Theoretical and Computational Hybrid Intelligent System for Survival Analysis,” Computers and Mathematics with Applications, Vol. 56, 2008, pp. 1699- 1708.
[23] Z. Pawlak, “Rough Set: Theoretical Aspects of Reasoning about Data,” Kluwer Academic Publishers, Dordrecht. 1991.
[24] P. Pattaraintakorna and N. Cerconeb, “Integrating Rough Set Theory and Medical Applications,” Applied Mathematics Letters, Vol. 21, No. 4, 2008, pp. 400-403.
[25] X. Y. Shao, X. Z. Chu, H. B. Qiu, L. Gao and J. Yan, “An Expert System Using Rough Sets Theory for Aided Conceptual Design of Ship’s Engine Room Automation,” Expert Systems with Applications, Vol. 36, No. 2, 2009, pp. 3223-3233.
[26] J. Shyng, H. Shieh and G. Tzeng, “An Integration Method Combining Rough Set Theory with Formal Concept Analysis for Personal Investment Portfolios,” Knowledge- Based Systems, Vol. 23, No. 6, 2010, pp. 586-597.
[27] B. Predki, R. Slowinski, J. Stefanowski, R. Susmaga and S. Wilk, “ROSE–Software Implementation of the Rough Set Theory,” In: L. Polkowski and A. Skowron, Eds., Rough Sets and Current Trends in Computing, Proceedings RSCTC’98, Lecture Notes in Artificial Intelligence, Vol. 1424, 1998, pp. 605-608.
[28] A. Field, “Discovering Statistics Using SPSS,” 3rd Edition, SAGE, Los Angeles, 2009.

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