Consumer Acceptance of Technology Contact: Extending Web-Based eCommerce to Technology-Based Services

This paper theoretically defines the concept of technology contact, as a specific service characteristic, that is referred to the level of customer-technology interaction the service requires. Moreover, it defines technology contact of a service as a construct with three dimensions: time of interaction with technology, medium sophistication and task complexity. Then, we develop a conceptual model for consumer acceptance of technology-based services that includes the notion of service technology contact. It is hypothesized that technology contact, as a unique service characteristic, affects performance expectancy, ease of use and behavioral intentions, but these relationships are moderated by individual’s anxiety with technology and the type of shopping trip. The scenario of technology-based dynamic product information service in supermarket stores is used in order to empirically test our model. The technology contact of the service is manipulated at three levels using service scenarios with different supporting technologies (electronic shelf labels, electronic kiosk and PDA) that are presented to 575 grocery store shoppers. Results confirm the hypotheses and the paper concludes that the level of technology contact is an important service characteristic that should be taken into account when designing and evaluating technology-based services.

[1]  R. Bagozzi,et al.  An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factors , 2002 .

[2]  Rohit Verma,et al.  Configurations of low-contact services , 2000 .

[3]  Paul A. Pavlou,et al.  Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior , 2006, MIS Q..

[4]  K. E. Ghorab,et al.  The impact of technology acceptance considerations on system usage, and adopted level of technological sophistication: An empirical investigation , 1997 .

[5]  L. Johnson International Journal of Service Industry Management , 1998 .

[6]  Vallabh Sambamurthy,et al.  Editorial Notes - The Growth of Interest in Services Management: Opportunities for Information Systems Scholars , 2006, Inf. Syst. Res..

[7]  J. Gentry,et al.  Characteristics of Adopters and Non-Adopters of Home Computers , 1983 .

[8]  Il Im,et al.  The effects of perceived risk and technology type on users' acceptance of technologies , 2008, Inf. Manag..

[9]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[10]  P. A. Dabholkar,et al.  Integrating attitudinal theories to understand and predict use of technology‐based self‐service: The Internet as an illustration , 2001 .

[11]  Jean-Claude Usunier,et al.  Cognitive, demographic, and situational determinants of service customer preference for personnel-in-contact over self-service technology , 2007 .

[12]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[13]  Víctor L. Pérez,et al.  Levels of sophistication of information management systems and their upgrading , 1984, Inf. Manag..

[14]  Katherine N. Lemon,et al.  E-Service and the Consumer , 2001, Int. J. Electron. Commer..

[15]  Fred D. Davis,et al.  Toward preprototype user acceptance testing of new information systems: implications for software project management , 2004, IEEE Transactions on Engineering Management.

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

[17]  Larry D. Rosen,et al.  The psychological impact of technology from a global perspective , 1995 .

[18]  Richard B. Chase,et al.  The Customer Contact Approach to Services: Theoretical Bases and Practical Extensions , 1981, Oper. Res..

[19]  Richard L. Daft,et al.  Organizational information requirements, media richness and structural design , 1986 .

[20]  Stephen L. Vargo,et al.  Toward a conceptual foundation for service science: Contributions from service-dominant logic , 2008, IBM Syst. J..

[21]  Katerina Pramatari,et al.  The moderating role of customer–technology contact on attitude towards technology-based services , 2008, Eur. J. Inf. Syst..

[22]  Linda Dailey Paulson Services Science: A New Field for Today's Economy , 2006, Computer.

[23]  James C. Spohrer,et al.  A research manifesto for services science , 2006, CACM.

[24]  Oliver Günther,et al.  RFID and the Perception of Control: The Consumer's View , 2005, IEEE Engineering Management Review.

[25]  P. A. Dabholkar Consumer evaluations of new technology-based self-service options: An investigation of alternative models of service quality , 1996 .

[26]  R B Chase,et al.  Where does the customer fit in a service operation? , 1978, Harvard business review.

[27]  D. Griffith,et al.  Drivers of local merchant loyalty: Understanding the influence of gender and shopping motives , 2006 .

[28]  M. Meuter,et al.  Intentions to Use Self-Service Technologies: A Confluence of Multiple Attitudes , 2003 .

[29]  Kirthi Kalyanam,et al.  Future Store Technologies and Their Impact on Grocery Retailing , 2006 .

[30]  Paul P. Maglio,et al.  Fundamentals of service science , 2008 .

[31]  Marios Koufaris,et al.  Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior , 2002, Inf. Syst. Res..

[32]  Carrie M. Heilman,et al.  The Effect of Expiration Dates and Perceived Risk on Purchasing Behavior in Grocery Store Perishable Categories , 2005 .

[33]  Mary Jo Bitner,et al.  Choosing among Alternative Service Delivery Modes: An Investigation of Customer Trial of Self-Service Technologies , 2005 .

[34]  A. Parasuraman,et al.  Technology Readiness Index (Tri) , 2000 .

[35]  Mary Jo Bitner,et al.  The influence of technology anxiety on consumer use and experiences with self-service technologies , 2003 .

[36]  M. Meuter,et al.  Self‐service technology adoption: comparing three technologies , 2005 .

[37]  P. K. Kannan,et al.  E-service: a new paradigm for business in the electronic environment , 2003, CACM.

[38]  R. Wood Task complexity: Definition of the construct , 1986 .

[39]  Raymond R. Burke Technology and the customer interface: What consumers want in the physical and virtual store , 2002 .

[40]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[41]  Richard B. Chase,et al.  Constructing an empirically derived measure for customer contact , 1995 .

[42]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .