Buyer/seller collaboration through measurement of beliefs on innovativeness of products

Today's industry is faced with strong and fierce competition. As a consequence, companies have been in search of creating values to cope with these challenges. In this context, innovation has been an essential instrument for creating values to overcome existing tackles. Therefore, companies have attempted to develop capabilities for innovating and thereby their efforts have been extensively intensified on collaboration structures. Recent attempts have been usually structured to form collaboration architectures among the sellers or governmental organizations. However, it is remarkable that, the real value of an innovation comes out when it has been perceived by the customers. Therefore, there is an actual need of collaboration among the sellers and buyers based on the customer perceptions. This paper proposes a framework for the collaboration of sellers and buyers to enhance the innovation capabilities of firms through a novel scheme for measurement of innovation perceptions which is indeed the real/actual output of the innovation process. The proposed framework provides a space and a map for the employment of the proposed measurement scheme. Along with the proposed framework, customers are expected to collaborate with sellers by answering the questions given in the specifically prepared innovation survey. The survey includes the questions prepared based on the factors barrowed from ''Rogersian characteristics of innovation perception'' (RCIP). Perceptions are attempted to be measured using the belief functions which fuzziness of perception is already included in. Furthermore, by the use of opinion triangles and consensus operator, perceptions of customers on each of the RCIP are fused into a single and meaningful output on the innovativeness of a certain product. The proposed framework is illustrated through an application for a reputed cellular phone example. The contribution of this paper is twofold: (1) developing a collaboration framework among customers and business owners to enhance innovation capabilities by constructing a communication channel based on innovativeness of the products; (2) developing an innovation measurement scheme which returns an objective measure by adding subjective opinions of individuals on innovativeness of certain product.

[1]  L. G. Tornatzky,et al.  Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings , 1982, IEEE Transactions on Engineering Management.

[2]  Lyman E. Ostlund Perceived Innovation Attributes as Predictors of Innovativeness , 1974 .

[3]  Lian-zeng Zhang,et al.  Representation, independence, and combination of evidence in the Dempster-Shafer theory , 1994 .

[4]  Thomas C. Kinnear,et al.  Exploring the Consumer Decision Process in the Adoption of Solar Energy Systems , 1981 .

[5]  A. Griffin PDMA Research on New Product Development Practices: Updating Trends and Benchmarking Best Practices , 1997 .

[6]  Toshiyuki Inagaki Interdependence between safety-control policy and multiple-sensor schemes via Dempster-Shafer theory , 1991 .

[7]  Jenny A. Harding,et al.  A manufacturing system engineering ontology model on the semantic web for inter-enterprise collaboration , 2007, Comput. Ind..

[8]  Arthur P. Dempster,et al.  A Generalization of Bayesian Inference , 1968, Classic Works of the Dempster-Shafer Theory of Belief Functions.

[9]  Türkay Dereli,et al.  ALERTING COMPANIES THROUGH ON-LINE PATENT TREND ANALYSIS , 2010, Cybern. Syst..

[10]  Audun Jøsang,et al.  The consensus operator for combining beliefs , 2002, Artif. Intell..

[11]  Jia-Guang Sun,et al.  Task-activity based access control for process collaboration environments , 2009, Comput. Ind..

[12]  Trevor Pinch,et al.  How users and non-users matter , 2003 .

[13]  A. Griffin,et al.  An Interim Report on Measuring Product Development Success and Failure , 1993 .

[14]  Pim Den Hertog,et al.  TA and the management of innovation in economy and society , 2007 .

[15]  E. Rogers Diffusion of Innovations , 1962 .

[16]  Susan L. Holak Determinants of innovative durables adoption an empirical study with implications for early product screening , 1988 .

[17]  K. Motohashi UNIVERSITY-INDUSTRY COLLABORATIONS IN JAPAN: THE ROLE OF NEW TECHNOLOGY-BASED FIRMS IN TRANSFORMING THE NATIONAL INNOVATION SYSTEM , 2005 .

[18]  R. Smits,et al.  The role of users in innovation in the pharmaceutical industry. , 2008, Drug discovery today.

[19]  D. Dubois,et al.  Properties of measures of information in evidence and possibility theories , 1987 .

[20]  H. Rohracher User Involvement in Innovation Processes : Strategies and Limitations from a Socio-Technical Perspective , 2005 .

[21]  D. Lehmann,et al.  Purchase Intentions and the Dimensions of Innovation: An Exploratory Model , 1990 .

[22]  Leandro Cañibano,et al.  Shortcomings in the Measurement of Innovation: Implications for Accounting Standard Setting , 2000 .

[23]  Trevor Pinch,et al.  How users matter : The co-construction of users and technologies , 2003 .

[24]  Stefan Kuhlmann,et al.  Demand articulation in intermediary organisations: The case of orphan drugs in the Netherlands , 2008 .

[25]  P. Vannoorenberghe,et al.  Strategies for combining conflicting dogmatic beliefs , 2003, Sixth International Conference of Information Fusion, 2003. Proceedings of the.

[26]  K. Eisenhardt,et al.  Resource-based View of Strategic Alliance Formation: Strategic and Social Effects in Entrepreneurial Firms , 1996 .

[27]  N. Oudshoorn,et al.  How Users Matter: The Co-Construction of Users and Technology (Inside Technology) , 2003 .

[28]  Ali A. Ghorbani,et al.  A belief-theoretic framework for the collaborative development and integration of para-consistent conceptual models , 2009, J. Syst. Softw..

[29]  C. Benedetto Identifying the key success factors in new product launch , 1999 .

[30]  D. Third OECD/Eurostat . Oslo Manual-Guidelines for Collecting and Interpreting Technological Innovation Paris, France: , 2005 .

[31]  S. Sedita,et al.  How Do Collaborations with Universities Affect Firms' Innovative Performance? The Role of "Pasteur Scientists" in the Advanced Materials Field , 2009 .

[32]  D. Mowery The relationship between intrafirm and contractual forms of industrial research in American manufacturing, 1900-1940 , 1983 .

[33]  Meenakshi Gupta,et al.  RELATIONSHIP BETWEEN ORGANISATION STRUCTURE AND FIRM-LEVEL INNOVATION IN THE MANUFACTURING SECTOR OF INDIA , 2007 .

[34]  Türkay Dereli,et al.  Patenting activities in Turkey: The case of the textile industry , 2009 .

[35]  David L. Olson,et al.  How interfirm collaboration benefits IT innovation , 2007, Inf. Manag..

[36]  W. Powell,et al.  Interorganizational Collaboration and the Locus of Innovation: Networks of Learning in Biotechnology. , 1996 .

[37]  Sofi Elfving Managing collaborative product development in small companies : A framework for a product development model , 2004 .

[38]  Richard R. Nelson,et al.  U.S. technological leadership: Where did it come from and where did it go? , 1990 .