The value of human interaction in service channels

Abstract The influence of digitalisation on service experiences requires new capabilities from customers. In particular, the computer-mediated interaction affects customers' perceived accessibility into self-services. Thus, we posed the following research question: “How does an individual's ability to use a computer influence the need for direct person-to-person interaction in services?” The study is based on a postal survey conducted in south-eastern Finland. Data were collected using a random sample of N = 3000 people ranging from 60 to 90 years of age. A total of 1121 valid responses were received. The data were slightly biased towards respondents who are coping well. We employed structural equation modelling with a multi-group moderation approach in the analysis. The findings indicate that satisfaction is related to routines in the service process. Customers' ability to perform the requisite role in the service process influences their preference for human interaction. Interestingly, the value of human interaction is driven by customers' expected abilities, whereas physical restrictions have a minor influence. We contribute to the literature explaining co-creation in computer-mediated services by applying human behaviour models to assess the customers’ value expectations.

[1]  Satu Vuori,et al.  55+ people as internet users , 2005 .

[2]  Hyun-Joo Lee,et al.  Personal values as determinants of intentions to use self-service technology in retailing , 2016, Comput. Hum. Behav..

[3]  Mika Immonen,et al.  Evolution of technology perceptions over time , 2015, Inf. Technol. People.

[4]  Hemant V. Kher,et al.  A longitudinal examination of computer self-efficacy change trajectories during training , 2013, Comput. Hum. Behav..

[5]  Michael Glassman,et al.  Beyond search and communication: Development and validation of the Internet Self-efficacy Scale (ISS) , 2013, Comput. Hum. Behav..

[6]  R. Brodie,et al.  Customer Engagement , 2011 .

[7]  Christopher Hertzog,et al.  Structural Equation Modeling with LISREL: Essentials and Advances , 1989 .

[8]  Markus Blut,et al.  Service Separation and Customer Satisfaction , 2013 .

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

[10]  Kalliopi Chatzipanagiotou,et al.  The Relationships of Customer-Perceived Value, Satisfaction, Loyalty and Behavioral Intentions , 2007 .

[11]  K. Verleye The co-creation experience from the customer perspective: its measurement and determinants , 2015 .

[12]  Lukas P. Forbes When something goes wrong and no one is around: non‐internet self‐service technology failure and recovery , 2008 .

[13]  T. Woodall Conceptualising 'value for the customer': an attributional, structural and dispositional analysis , 2003 .

[14]  Joel E. Collier,et al.  Self-service delight: Exploring the hedonic aspects of self-service , 2015 .

[15]  John Eyles,et al.  'Reasonable access' to primary care: assessing the role of individual and system characteristics. , 2006, Health & place.

[16]  Ralf Schwarzer,et al.  A brief questionnaire on metacognition: Psychometric properties , 2011, Aging & mental health.

[17]  V. Venkatesh,et al.  AGE DIFFERENCES IN TECHNOLOGY ADOPTION DECISIONS: IMPLICATIONS FOR A CHANGING WORK FORCE , 2000 .

[18]  Tatiana Solovieva,et al.  Perceived barriers to health care access among rural older adults: a qualitative study. , 2005, The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association.

[19]  Robert S. Moore,et al.  Why the little things matter: Exploring situational influences on customers' self-service technology decisions , 2015 .

[20]  Kwoting Fang,et al.  The use of a decomposed theory of planned behavior to study Internet banking in Taiwan , 2004, Internet Res..

[21]  Katharina Maria Hofer,et al.  Service innovation and usage intention: a cross-market analysis , 2015 .

[22]  Isabelle Szmigin,et al.  The Older Consumer as Innovator: Does Cognitive Age hold the Key? , 2000 .

[23]  Ruth N. Bolton,et al.  Interactive Services: A Framework, Synthesis and Research Directions , 2009 .

[24]  Yeliz Yesilada,et al.  Mobile device impairment … similar problems, similar solutions? , 2011, Behav. Inf. Technol..

[25]  B. Keating,et al.  Inter-channel Effects in Multichannel Travel Services , 2014 .

[26]  Banwari Mittal A comparative analysis of four scales of consumer involvement , 1995 .

[27]  Stephen L. Vargo,et al.  The context of experience , 2015 .

[28]  K. Welsh-Bohmer,et al.  A brief metacognition questionnaire for the elderly: comparison with cognitive performance and informant ratings the Cache County Study , 2009, International journal of geriatric psychiatry.

[29]  Eun-Ju Lee,et al.  Understanding consumer motivation and behavior related to self‐scanning in retailing , 2003 .

[30]  Cynthia LeRouge,et al.  Baby Boomers’ Adoption of Consumer Health Technologies: Survey on Readiness and Barriers , 2014, Journal of medical Internet research.

[31]  Arturo Z. Vasquez-Parraga,et al.  The impact of choice on co-produced customer value creation and satisfaction , 2015 .

[32]  I. Ajzen The theory of planned behavior , 1991 .

[33]  I. Ajzen,et al.  Prediction of goal directed behaviour: Attitudes, intentions and perceived behavioural control , 1986 .

[34]  Mika Immonen,et al.  Telecare services for aging people: Assessment of critical factors influencing the adoption intention , 2013, Comput. Hum. Behav..

[35]  Ulf Olsson,et al.  Maximum likelihood estimation of the polychoric correlation coefficient , 1979 .

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

[37]  Tiziana Catarci,et al.  A unified methodology for the evaluation of accessibility and usability of mobile applications , 2010, Universal Access in the Information Society.

[38]  L. Laflamme,et al.  Perceived Quality of Life and Self-Rated Health among First-Year University Students , 2004 .

[39]  Nancy Viola Wünderlich,et al.  The Value of Self-Service: Long-Term Effects of Technology-Based Self-Service Usage on Customer Retention , 2015, MIS Q..

[40]  Susan M. Mudambi,et al.  Satisfaction in technology‐enabled service encounters , 2009 .

[41]  Philip Bobko,et al.  The Computer Understanding and Experience Scale: a self-report measure of computer experience , 1998 .

[42]  Anníbal C. Sodero,et al.  Customer Use of Virtual Channels in Multichannel Services: Does Type of Activity Matter? , 2015, Decis. Sci..

[43]  A. Ancarani Supplier evaluation in local public services: Application of a model of value for customer , 2009 .

[44]  Heidi Winklhofer,et al.  Measuring Users’ Value Experience on a Travel Website (e-Value) , 2015 .

[45]  Miyoung Jeong,et al.  Tourists' adoption of self-service technologies at resort hotels , 2013 .

[46]  Maria Luisa Garcia-Merita,et al.  Satisfaction with Life Scale: analysis of factorial invariance across sexes , 2003 .

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

[48]  Sheryl E. Kimes,et al.  Only If It Is Convenient , 2013 .

[49]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[50]  Adrian Wells,et al.  A short form of the metacognitions questionnaire: properties of the MCQ-30. , 2004, Behaviour research and therapy.

[51]  Päivi Voima,et al.  Customer dominant value formation in service , 2013 .

[52]  Ananth Srinivasan,et al.  Connectivity in Service Systems , 2013 .

[53]  Dimitrios Buhalis,et al.  Social layers of customer-to-customer value co-creation , 2013 .

[54]  Cees J. Gelderman,et al.  Choosing self-service technologies or interpersonal services—The impact of situational factors and technology-related attitudes , 2011 .

[55]  M. Christopher,et al.  Demand chain management-integrating marketing and supply chain management , 2007 .

[56]  B. Byrne Structural Equation Modeling with LISREL, PRELIS, and SIMPLIS: Basic Concepts, Applications, and Programming , 1998 .

[57]  J. J. Po-An Hsieh,et al.  ScholarWorks @ Georgia State University , 2016 .

[58]  Stephen L. Vargo,et al.  Service Innovation in the Digital Age: Key Contributions and Future Directions , 2015, MIS Q..

[59]  Stephen L. Vargo,et al.  On value and value co-creation: A service systems and service logic perspective , 2008 .

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

[61]  Sabine Fließ,et al.  Commentary essay on “blueprinting the service company – managing service processes efficiently” , 2004, Journal of Global Scholars of Marketing Science.

[62]  P. Patterson,et al.  The Roles of Habit, Self-Efficacy, and Satisfaction in Driving Continued Use of Self-Service Technologies , 2013 .

[63]  Cheng-Hua Yang,et al.  Do airline self-service check-in kiosks meet the needs of passengers? , 2008 .

[64]  Stephen A. Brewster,et al.  Overcoming the Lack of Screen Space on Mobile Computers , 2002, Personal and Ubiquitous Computing.

[65]  Karl-Jacob Mickelsson,et al.  Customer activity in service , 2013 .

[66]  Leslie A. Hayduk Structural equation modeling with LISREL: essentials and advances , 1987 .

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

[68]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[69]  C. R. Glass,et al.  Cognitive factors in computer anxiety , 1988, Cognitive Therapy and Research.

[70]  Tsipi Heart,et al.  Older adults: Are they ready to adopt health-related ICT? , 2013, Int. J. Medical Informatics.

[71]  Markus Fellesson,et al.  The expected retail customer : Value co-creator, co-producer or disturbance? , 2016 .

[72]  Kristina Heinonen,et al.  Reconceptualizing customer perceived value: the value of time and place , 2004 .

[73]  Daniel L. Sherrell,et al.  Understanding the differences of public and private self-service technology , 2014 .

[74]  S. Fliess,et al.  Mirror, mirror on the wall – how customers perceive their contribution to service provision , 2014 .

[75]  Marko Jelicic,et al.  EFFECT OF SELF-RATED HEALTH ON COGNITIVE PERFORMANCE IN COMMUNITY DWELLING ELDERLY , 1999 .

[76]  E. Agree,et al.  The potential for technology to enhance independence for those aging with a disability. , 2014, Disability and health journal.

[77]  Detmar W. Straub,et al.  The psychological origins of perceived usefulness and ease-of-use , 1999, Inf. Manag..

[78]  Miyoung Jeong,et al.  Attitudinal and Situational Determinants of Self-Service Technology Use , 2016 .

[79]  Mika Immonen,et al.  Citizens’ perceived value of locally-provided services , 2016 .

[80]  J. Hair Multivariate data analysis , 1972 .