Perceived Risk Management: Applying the TEID Model to the Traveler Service Chain

The purpose of this paper is to contribute to the theoretical work on service-perceived risk management of knowledge-based services (i.e., intangible and heterogeneous) and experience-based services and to suggest a framework that helps to formalize these risks and the value associated with their management, by arguing that this risk management relies on a sequence of risks (Threat, Event, Ignorance and Damage, called the TEID model) and on three categories of control measures (preventative, detective and protective). By categorizing customer-perceived risks, and by integrating control measures and assurances into their offer, providers can design new and valuable services. Service value-chains involve various providers (implicitly or otherwise) who may engender annoyance and damages as risks are a sequence of events. This paper holds the potential to contribute to extending an understanding and management capacity of customer-perceived risks of knowledge-based services. It brings into play a new framework and new risk management process. It also helps with formalizing and making tangible customer added-value.

[1]  M. Laroche,et al.  A Three-Dimensional Scale of Intangibility , 2001 .

[2]  A. Woodside.  Is There a Generalized Risky Shift Phenomenon in Consumer Behavior? , 1974 .

[3]  V. Mitchell,et al.  RETAILING TO EXPERIENCED AND INEXPERIENCED CONSUMERS: A PERCEIVED RISK APPROACH , 1993 .

[4]  ZongWei Luo,et al.  Innovations in Logistics and Supply Chain Management Technologies for Dynamic Economies , 2012 .

[5]  M. Laroche,et al.  How intangibility affects perceived risk: the moderating role of knowledge and involvement , 2003 .

[6]  U. Karmarkar,et al.  Service markets and competition , 1995 .

[7]  C. Bebko.  Service intangibility and its impact on consumer expectations of service quality , 2000 .

[8]  William J. Havlena,et al.  On the Measurement of Perceived Consumer Risk , 1991 .

[9]  J. Bettman.  Perceived Risk and Its Components: A Model and Empirical Test , 1973 .

[10]  R. L. Horton.  The structure of perceived risk: Some further progress , 1976 .

[11]  R. Staelin,et al.  A Model of Perceived Risk and Intended Risk-handling Activity , 1994 .

[12]  Malte L. Peters,et al.  Fair Distribution of Efficiency Gains in Supply Networks from a Cooperative Game Theory Point of View , 2010, Int. J. Inf. Syst. Supply Chain Manag..

[13]  E. Fragniere,et al.  A Control System Designed to Address the Intangible Nature of Service Risks , 2006, 2006 IEEE International Conference on Service Operations and Logistics, and Informatics.

[14]  Mike C. Herbert,et al.  Smart Integrated Operations for High Risk and Technologically Complex Assets: Operational Networks and Collaborative Partnerships in the Digital Environment , 2007 .

[15]  Francis Heylighen,et al.  Complexity and Information Overload in Society: why increasing efficiency leads to decreasing control , 2002 .

[16]  V. Mitchell,et al.  A Preliminary Investigation into Pre‐ and Post‐Purchase Risk Perception and Reduction , 1994 .

[17]  V. Mitchell,et al.  A role for consumer risk perceptions in grocery retailing , 1998 .

[18]  Darko Galinec,et al.  Procurement Business Service Modeling in Service-Based Process Architecture of Equipping System , 2009, Int. J. Inf. Syst. Serv. Sect..

[19]  Mary Jo Bitner,et al.  The Service Encounter: Diagnosing Favorable and Unfavorable Incidents: , 1990 .

[20]  E. Fragnière,et al.  The Travel Agent: Delivering More Value by Becoming an Operational Risk Manager , 2007 .

[21]  Walter Brenner,et al.  A Method for the Management of Service Innovation Projects in Mature Organizations , 2011, Int. J. Serv. Sci. Manag. Eng. Technol..

[22]  Michael Quayle.  Purchasing and Supply Chain Management: Strategies and Realities , 2006 .

[23]  S. Tan.  Strategies for reducing consumers’ risk aversion in Internet shopping , 1999 .

[24]  Michel Laroche,et al.  Exploring How Intangibility Affects Perceived Risk , 2004 .

[25]  Janusz Grabara,et al.  Equipment Replacement Decisions Models with the Context of Flexible Manufacturing Cells , 2012 .

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

[27]  G. Mcdougall,et al.  The Intangibility of Services: Measurement and Competitive Perspectives , 1990 .

[28]  K. B. Murray,et al.  The impact of services versus goods on consumers’ assessment of perceived risk and variability , 1990 .

[29]  Younès Bennani,et al.  Mining RFID Behavior Data using Unsupervised Learning , 2010, Int. J. Appl. Logist..

[30]  C. Grönroos.  A Service Quality Model and its Marketing Implications , 1984 .

[31]  L. M. Capella,et al.  An examination of perceived risk, information search and behavioral intentions in search, experience and credence services , 1999 .

[32]  Mary Jo Bitner,et al.  Marketing Strategies and Organizational Structures for Service Firms , 1981 .

[33]  William Yu Chung Wang,et al.  Supply Chain Management: Issues in the New Era of Collaboration And Competition , 2006 .

[34]  Ivan Ross.  Perceived Risk and Consumer Behavior: a Critical Review , 1975 .

[35]  C. Boshoff.  An experimental study of service recovery options , 1997 .

[36]  P. Slovic,et al.  Relative importance of probabilities and payoffs in risk taking , 1968 .

[37]  David L. Mothersbaugh,et al.  Consumer Knowledge Assessment , 1994 .

[38]  Ted Roselius.  Consumer Rankings of Risk Reduction Methods , 1971 .

[39]  A. Strauss,et al.  Grounded theory , 2017 .

[40]  N. Nagaveni,et al.  Power Aware Meta Scheduler for Adaptive VM Provisioning in IaaS Cloud , 2011 .

[41]  J. Guiltinan.  The Price Bundling of Services: A Normative Framework , 1987 .

[42]  A. Parasuraman,et al.  A Conceptual Model of Service Quality and Its Implications for Future Research , 1985 .

[43]  V. Mitchell,et al.  Risk Perception and Reduction in the Purchase of Consumer Services , 1993 .

[44]  Ertunga C. Özelkan,et al.  Analysis of Financial Returns and Risks of Implementing RFID for Supply Chains , 2010 .

[45]  Yupo Chan,et al.  Collaboration in Cyber Transportation Logistics: Paradigms and Technologies , 2010, Int. J. Appl. Logist..

[46]  V. Mitchell.  Consumer perceived risk: conceptualisations and models , 1999 .

[47]  John T. Bowen,et al.  A proposed model of the descriptors of service process , 2003 .

[48]  K. Eisenhardt.  Building theories from case study research , 1989, STUDI ORGANIZZATIVI.

[49]  I. R. Andrews,et al.  Risky-shift phenomenon tested with consumer products as stimuli. , 1971 .

[50]  Ganesh Vaidyanathan,et al.  Integration of Global Supply Chain Management with Small to Mid-Size Suppliers , 2010 .

[51]  Michael J. Ryan,et al.  An Investigation of Perceived Risk at the Brand Level , 1976 .

[52]  L. F. Cunningham,et al.  ASSESSING PERCEIVED RISK OF CONSUMERS IN INTERNET AIRLINE RESERVATIONS SERVICES , 2004 .

[53]  Paolo Renna,et al.  Negotiation Protocol Based on Budget Approach for Adaptive Manufacturing Scheduling , 2012 .

[54]  Dean G. Pruitt,et al.  Conclusions: Toward an understanding of choice shifts in group discussion. , 1971 .

[55]  J. Jacoby,et al.  The Components of Perceived Risk , 1972 .

[56]  Iraj Mahdavi,et al.  Designing a Dynamic Buyer-Supplier Coordination Model in Electronic Markets Using Stochastic Petri Nets , 2008, Int. J. Inf. Syst. Supply Chain Manag..