Development of a service evolution map for service design through application of text mining to service documents

As digital convergence has proliferated and products have become smarter, various service concepts have emerged based on the capabilities of products. It has become a main concern to illuminate historical changes and status of service concepts according to the utilisation of product elements to provide valuable information for service development. However, a lacuna still remains in the literature regarding a systematic and quantitative approach on this problem. This study proposes a service evolution map as a tool for analysing the evolutionary paths of service concepts based on the utilisation of product elements. The proposed service evolution map consists of two layers with the time dimension: a product element layer for the utilisation of product elements and a service concept layer for the evolutionary paths of service concepts. Based on the service documents describing what the services are, text mining, co-word analysis, and modified formal concept analysis are employed to develop the product element and service concept layers, respectively. A case study of mobile application services is presented to illustrate the proposed approach. This study is expected to be a basis of future research on the interaction between products and services and service concept design based on the creative utilisation of product elements.

[1]  Seung-Kyum Choi,et al.  Extracting Consumer Preference From User-Generated Content Sources Using Classification , 2013, DAC 2013.

[2]  Andrew E. Fano,et al.  The future of business services in the age of ubiquitous computing , 2002, CACM.

[3]  Chaomei Chen,et al.  Visualizing knowledge domains , 2005, Annu. Rev. Inf. Sci. Technol..

[4]  Anthony F. J. van Raan,et al.  Advanced mapping of science and technology , 2006, Scientometrics.

[5]  H. Joseph Wen,et al.  Evaluating the technological characteristics and trust affecting mobile device usage , 2006, Int. J. Mob. Commun..

[6]  Desheng Dash Wu,et al.  Using text mining and sentiment analysis for online forums hotspot detection and forecast , 2010, Decis. Support Syst..

[7]  Giorgio Sirilli,et al.  Technological innovation in services and manufacturing: results from Italian surveys , 1998 .

[8]  Mary Jo Bitner,et al.  Self-Service Technologies: Understanding Customer Satisfaction with Technology-Based Service Encounters , 2000 .

[9]  Jay Lee,et al.  Innovative Product Advanced Service Systems (I-PASS): methodology, tools, and applications for dominant service design , 2011 .

[10]  Raymond Y. K. Lau,et al.  Social analytics: Learning fuzzy product ontologies for aspect-oriented sentiment analysis , 2014, Decis. Support Syst..

[11]  Ian H. Witten,et al.  Text mining: a new frontier for lossless compression , 1999, Proceedings DCC'99 Data Compression Conference (Cat. No. PR00096).

[12]  Peter Becker,et al.  A Survey of Formal Concept Analysis Support for Software Engineering Activities , 2005, Formal Concept Analysis.

[13]  Gerd Stumme,et al.  Conceptual Knowledge Discovery in Databases Using Formal Concept Analysis Methods , 1998, PKDD.

[14]  Catherine Blake,et al.  Text mining , 2011, Annu. Rev. Inf. Sci. Technol..

[15]  D. Cowell,et al.  New service development , 1988 .

[16]  Yongtae Park,et al.  Monitoring trends of technological changes based on the dynamic patent lattice: A modified formal concept analysis approach , 2011 .

[17]  Alan L. Porter,et al.  Automated extraction and visualization of information for technological intelligence and forecasting , 2002 .

[18]  M. Woerter,et al.  Development perspectives, firm strategies and applications in mobile commerce , 2004 .

[19]  Alexander Mikroyannidis,et al.  PARMENIDES: Towards Business Intelligence Discovery from Web Data , 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06).

[20]  Ramesh Sharda,et al.  Obtaining business intelligence on the internet , 1997 .

[21]  Kalle Lyytinen,et al.  Research Commentary: The Next Wave of Nomadic Computing , 2002, Inf. Syst. Res..

[22]  Sungjoo Lee,et al.  Using Patent Information for Designing New Product and Technology: Keyword Based Technology Roadmapping , 2008 .

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

[24]  Peggy Zwolinski,et al.  Product-service system design methodology: from the PSS architecture design to the products specifications , 2009 .

[25]  Ruwei Dai,et al.  AMAZING: A sentiment mining and retrieval system , 2009, Expert Syst. Appl..

[26]  Conrad S. Tucker,et al.  An automated approach to quantifying functional interactions by mining large-scale product specification data , 2016 .

[27]  Dan Sullivan Text Mining in Business Intelligence , 2004 .

[28]  Conrad S. Tucker,et al.  Automated Discovery of Lead Users and Latent Product Features by Mining Large Scale Social Media Networks , 2015 .

[29]  Ulrike de Brentani Innovative versus incremental new business services: different keys for achieving success , 2001 .

[30]  Robert J. Glushko,et al.  Seven Contexts for Service System Design , 2010 .

[31]  Marcus Herzog,et al.  Using Ontologies for Extracting Product Features from Web Pages , 2006, SEMWEB.

[32]  Hengdong Yang,et al.  Mechanisms of developing innovative IT-enabled services: A case study of Taiwanese healthcare service , 2009 .

[33]  Rahul Rai,et al.  Identifying Key Product Attributes and Their Importance Levels From Online Customer Reviews , 2012, DAC 2012.

[34]  Shigeru Ono,et al.  The role of mobile handsets in advanced network service evolution: Evidence from Japan , 2010 .

[35]  Graham Thompson,et al.  A rapid design process for Total Care Product creation , 2006 .

[36]  Byungun Yoon,et al.  A text-mining-based patent network: Analytical tool for high-technology trend , 2004 .

[37]  Oh-Jin Kwon,et al.  Product opportunity identification based on internal capabilities using text mining and association rule mining , 2016 .

[38]  Thomas Hess,et al.  New digital media and devices: An analysis for the media industry , 2000 .

[39]  Masao Fuketa,et al.  Ranking of field association terms using Co-word analysis , 2008, Inf. Process. Manag..

[40]  Rudolf Wille,et al.  Restructuring Lattice Theory: An Approach Based on Hierarchies of Concepts , 2009, ICFCA.

[41]  R. P. Dilworth Review: G. Birkhoff, Lattice theory , 1950 .

[42]  Qin He,et al.  Knowledge Discovery Through Co-Word Analysis , 1999, Libr. Trends.

[43]  Gaetano Cascini,et al.  Plastics design: integrating TRIZ creativity and semantic knowledge portals , 2004 .

[44]  Gobinda G. Chowdhury,et al.  Bibliometric cartography of information retrieval research by using co-word analysis , 2001, Inf. Process. Manag..

[45]  Marsha J. Hamilton,et al.  Resolving the Challenge of E-Books , 2010 .

[46]  Derek G. Bridge,et al.  Collaborative Recommending using Formal Concept Analysis , 2006, Knowl. Based Syst..

[47]  Mary Jo Bitner,et al.  Technology infusion in service encounters , 2000 .

[48]  Aleda V. Roth,et al.  New measurement scales for evaluating perceptions of the technology‐mediated customer service experience , 2004 .

[49]  Inchae Park,et al.  Exploring technological opportunities by linking technology and products: Application of morphology analysis and text mining , 2014 .

[50]  P. Papastathopoulou,et al.  An empirically‐based typology of product innovativeness for new financial services: Success and failure scenarios , 2001 .

[51]  Babis Theodoulidis,et al.  Analyzing Customer Experience Feedback Using Text Mining , 2014 .

[52]  A. Oke Innovation types and innovation management practices in service companies , 2007 .

[53]  Mary J. Cronin,et al.  Smart Products, Smarter Services: Strategies for Embedded Control , 2010 .

[54]  Conrad S. Tucker,et al.  Quantifying Product Favorability and Extracting Notable Product Features Using Large Scale Social Media Data , 2015, J. Comput. Inf. Sci. Eng..

[55]  Douglas W. Oard,et al.  Textual Data Mining to Support Science and Technology Management , 2000, Journal of Intelligent Information Systems.

[56]  H. P. F. Peters,et al.  Co-word-based science maps of chemical engineering. Part I: Representations by direct multidimensional scaling , 1993 .

[57]  Neal S. Coulter,et al.  Software Engineering as Seen through Its Research Literature: A Study in Co-Word Analysis , 1998, J. Am. Soc. Inf. Sci..

[58]  Pablo Gervás,et al.  A Joint Model of Feature Mining and Sentiment Analysis for Product Review Rating , 2011, ECIR.

[59]  Hakyeon Lee,et al.  Novelty-focussed document mapping to identify new service opportunities , 2015 .

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

[61]  R. Bharat Rao,et al.  Evolution of mobile location-based services , 2003, CACM.