Seeing Service Certification "Eye to Eye" - The Role of Perceptual Congruence Between Customers and Providers in IS Certification

Certifications are means to overcome information asymmetry between customers and providers in the adoption of electronic services. While certifications are being progressively used in diverse electronic markets, research is inconclusive regarding their effectiveness. A previously unconsidered cause might be differing preferences for a certification’s structural elements by providers and customers. We argue that such perceptual incongruence, caused by differing incentives and goals, may lead to a lack of alignment regarding the usage intention for a certified service. However, when providers and customers’ perceptions overlap, they may have aligned intentions to rely on certification. We argue that shared preferences for certifications’ structural dimensions – core aspects defining the what (i.e., content), who (i.e., source) and how (i.e., process) of a certification – lead to more congruent perceptions. To test our hypothesis, we conducted a preliminary online experiment with 152 cloud service consumers. Surprisingly, we could not confirm a significant effect of perceptual congruence on the alignment of usage intention for a certified service. However, our hypotheses cannot finally be rejected due to low overall model fit and require further investigation. Hence, we discuss results and lay out an agenda for our next steps, concentrating on qualitative interviews in the professional cloud computing context.

[1]  Samir Chatterjee,et al.  Design of emerging digital services: a taxonomy , 2008, Eur. J. Inf. Syst..

[2]  Jooyoung Kim,et al.  Third-party Privacy Certification as an Online Advertising Strategy: An Investigation of the Factors Affecting the Relationship between Third-party Certification and Initial Trust , 2011 .

[3]  Izak Benbasat,et al.  The Nature and Consequences of Trade-Off Transparency in the Context of Recommendation Agents , 2014, MIS Q..

[4]  David M. Boush,et al.  Trustmarks, objective-source ratings, and implied investments in advertising: Investigating online trust and the context-specific nature of internet signals , 2006 .

[5]  Daniel R. Horne,et al.  The Privacy Paradox: Personal Information Disclosure Intentions versus Behaviors , 2007 .

[6]  Wolfgang Jank,et al.  Research Note - The Value of Third-Party Assurance Seals in Online Retailing: An Empirical Investigation , 2013, Inf. Syst. Res..

[7]  Sijun Wang,et al.  Signaling the trustworthiness of small online retailers , 2004 .

[8]  R. Thaler Mental accounting matters , 1999 .

[9]  J. Edwards,et al.  Complementary and supplementary fit: a theoretical and empirical integration. , 2004, The Journal of applied psychology.

[10]  William J. Kettinger,et al.  Special Section: The Transformative Value of Cloud Computing: A Decoupling, Platformization, and Recombination Theoretical Framework , 2018, J. Manag. Inf. Syst..

[11]  Ritu Agarwal,et al.  Contingent Effects of Quality Signaling: Evidence from the Indian Offshore IT Services Industry , 2010, Manag. Sci..

[12]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[13]  Joseph C. Ugrin,et al.  An experimental evaluation of the effects of internal and external e-Assurance on initial trust formation in B2C e-commerce , 2009, Int. J. Account. Inf. Syst..

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

[15]  Amy L. Kristof PERSON-ORGANIZATION FIT: AN INTEGRATIVE REVIEW OF ITS CONCEPTUALIZATIONS, MEASUREMENT, AND IMPLICATIONS , 1996 .

[16]  Lawrence A. Pervin,et al.  Persons, Situations, Interactions: The History of a Controversy and a Discussion of Theoretical Models , 1989 .

[17]  Anand Kumar,et al.  Web Assurance Seals: How and Why They Influence Consumers' Decisions , 2002, J. Inf. Syst..

[18]  Qingxiong Ma,et al.  ISO 17799: "Best Practices" in Information Security Management? , 2005, Commun. Assoc. Inf. Syst..

[19]  Nathan S. Hartman,et al.  Method Variance and Marker Variables: A Review and Comprehensive CFA Marker Technique , 2010 .

[20]  J. Edwards The Study of Congruence in Organizational Behavior Research: Critique and a Proposed Alternative , 1994 .

[21]  Rajeev Sharma,et al.  Estimating the effect of common method variance: the method-method pair technique with an illustration from TAM research , 2009 .

[22]  J. French,et al.  The mechanisms of job stress and strain , 1984 .

[23]  Pearl Brereton,et al.  Does the technology acceptance model predict actual use? A systematic literature review , 2010, Inf. Softw. Technol..

[24]  Ayşe Necibe Batman European Cloud Service Data Protection Certification , 2019, Regulating New Technologies in Uncertain Times.

[25]  Mirella Kleijnen,et al.  Image Congruence and the Adoption of Service Innovations , 2005 .

[26]  Alexander Benlian,et al.  Effect Mechanisms of Perceptual Congruence Between Information Systems Professionals and Users on Satisfaction with Service , 2013, J. Manag. Inf. Syst..

[27]  Ruey-Dang Chang,et al.  The Effects of WebTrust Assurance on Consumers' Web Purchase Decisions: An Experiment , 2012, Online Inf. Rev..

[28]  Kathryn M. Kimery,et al.  Signals of Trustworthiness in E-Commerce: Consumer Understanding of Third-Party Assurance Seals , 2006, J. Electron. Commer. Organ..

[29]  Guohua Wu,et al.  The effects of Web assurance seals on consumers' initial trust in an online vendor: A functional perspective , 2010, Decis. Support Syst..

[30]  Richard C. Huseman,et al.  Perceptual Congruence About Communication as Related to Satisfaction: Moderating Effects of Individual Characteristics , 1982 .

[31]  I. Ajzen,et al.  Predicting and Changing Behavior: The Reasoned Action Approach , 2009 .

[32]  Bart J. Bronnenberg,et al.  A Spatiotemporal Analysis of the Global Diffusion of ISO 9000 and ISO 14000 Certification , 2007, Manag. Sci..

[33]  Alexander Benlian,et al.  Drivers of App Installation Likelihood - A Conjoint Analysis of Quality Signals in Mobile Ecosystems , 2015, ICIS.

[34]  Jeffrey R. Edwards,et al.  On the Use of Polynomial Regression Equations As An Alternative to Difference Scores in Organizational Research , 1993 .

[35]  Ali Sunyaev,et al.  Unblackboxing IT Certifications: A Theoretical Model Explaining IT Certification Effectiveness , 2017, ICIS.

[36]  Ali Sunyaev,et al.  Dynamic Certification of Cloud Services: Trust, but Verify! , 2016, IEEE Security & Privacy.

[37]  Ashley A. Bush,et al.  Spotting Lemons in Platform Markets: A Conjoint Experiment on Signaling , 2014, IEEE Transactions on Engineering Management.

[38]  D. North,et al.  Elements of Reason: Shared Mental Models: Ideologies and Institutions , 1994 .

[39]  Gary Biglaiser,et al.  Middlemen as Experts , 1993 .

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

[41]  Peter B. Seddon,et al.  Towards the improved treatment of generalization of knowledge claims in IS research: drawing general conclusions from samples , 2012, Eur. J. Inf. Syst..

[42]  Jordan J. Louviere,et al.  Analyzing Decision Making: Metric Conjoint Analysis , 1988 .

[43]  Stephen J. Carson,et al.  Uncertainty, Opportunism and Governance: The Effects of Volatility and Ambiguity on Formal and Relational Contracting , 2006 .

[44]  H. Raghav Rao,et al.  A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents , 2008, Decis. Support Syst..

[45]  J. H. Davis,et al.  The effect of the performance appraisal system on trust for management: A field quasi-experiment. , 1999 .

[46]  Ali Sunyaev,et al.  A Taxonomic Perspective on Certification Schemes: Development of a Taxonomy for Cloud Service Certification Criteria , 2014, 2014 47th Hawaii International Conference on System Sciences.

[47]  Alexander Benlian,et al.  Are We Aligned…Enough? The Effects of Perceptual Congruence Between Service Teams and Their Leaders on Team Performance , 2014 .

[48]  Donghua Tao,et al.  Intention to Use and Actual Use of Electronic Information Resources: Further Exploring Technology Acceptance Model (TAM) , 2009, AMIA.

[49]  Hock-Hai Teo,et al.  The Value of Privacy Assurance: An Exploratory Field Experiment , 2007, MIS Q..

[50]  Alessandro Acquisti,et al.  The Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study , 2011, WEIS.

[51]  Cristina B. Gibson,et al.  Collective Cognition in Action: Accumulation, Interaction, Examination, and Accommodation in the Development and Operation of Group Efficacy Beliefs in the Workplace. , 2007 .

[52]  J. Merriënboer,et al.  Research on cognitive load theory and its design implications for e-learning , 2005 .

[53]  Anandasivam Gopal,et al.  Certification in the Indian Offshore IT Services Industry , 2009, Manuf. Serv. Oper. Manag..

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

[55]  Brian R. Kovar,et al.  Consumer Responses to the CPA WEBTRUST™ Assurance , 2000, J. Inf. Syst..

[56]  Trevor T. Moores,et al.  Do consumers understand the role of privacy seals in e-commerce? , 2005, CACM.

[57]  Thomas Hess,et al.  Service Quality in Software-as-a-Service: Developing the SaaS-Qual Measure and Examining Its Role in Usage Continuance , 2011, J. Manag. Inf. Syst..

[58]  A. Kristof-brown,et al.  CONSEQUENCES OF INDIVIDUALS' FIT AT WORK: A META-ANALYSIS OF PERSON-JOB, PERSON-ORGANIZATION, PERSON-GROUP, AND PERSON-SUPERVISOR FIT , 2005 .

[59]  Izak Benbasat,et al.  Trust-Assuring Arguments in B2C E-commerce: Impact of Content, Source, and Price on Trust , 2009, J. Manag. Inf. Syst..

[60]  Alexander Benlian,et al.  "Unblackboxing" Decision Makers' Interpretations of IS Certifications in the Context of Cloud Service Certifications , 2018, J. Assoc. Inf. Syst..

[61]  P. Green,et al.  Conjoint Analysis in Consumer Research: Issues and Outlook , 1978 .

[62]  J. Stolte,et al.  The Context of Satisficing in Vignette Research , 1994 .

[63]  Richard A. Spreng,et al.  A Reexamination of the Determinants of Consumer Satisfaction , 1996 .

[64]  Edwin R. Stafford,et al.  Comprehension and Perceived Believability of Seals of Approval Information in Advertising , 1993 .

[65]  Thomas Hess,et al.  Differential Effects of Provider Recommendations and Consumer Reviews in E-Commerce Transactions: An Experimental Study , 2012, J. Manag. Inf. Syst..

[66]  Matthew L. Jensen,et al.  Using an elaboration likelihood approach to better understand the persuasiveness of website privacy assurance cues for online consumers , 2012, J. Assoc. Inf. Sci. Technol..

[67]  J. Bloemer,et al.  The Impact of Value Congruence on Consumer-Service Brand Relationships , 2008 .

[68]  Eric D. Heggestad,et al.  Erratum to: Polynomial Regression with Response Surface Analysis: A Powerful Approach for Examining Moderation and Overcoming Limitations of Difference Scores , 2010 .

[69]  Ali Sunyaev,et al.  Moving in the Right Direction?: Mapping literature on Cloud Service Certifications' Outcomes with Practitioners' Perceptions , 2014, ECIS.

[70]  Dan J. Kim,et al.  Self-Perception-Based Versus Transference-Based Trust Determinants in Computer-Mediated Transactions: A Cross-Cultural Comparison Study , 2008, J. Manag. Inf. Syst..

[71]  R. Fisher,et al.  Initial online trust formation: the role of company location and web assurance , 2009 .

[72]  Eric D. Heggestad,et al.  Polynomial Regression with Response Surface Analysis: A Powerful Approach for Examining Moderation and Overcoming Limitations of Difference Scores , 2010 .

[73]  Javier Marcos Cuevas,et al.  Power symmetry and the development of trust in interdependent relationships: The mediating role of goal congruence , 2015 .

[74]  Charles J. Kacmar,et al.  Shifting Factors and the Ineffectiveness of Third Party Assurance Seals: A Two-Stage Model of Initial Trust in a Web Business , 2004, Electron. Mark..

[75]  Raquel Benbunan-Fich,et al.  Signaling theory and information asymmetry in online commerce , 2012, Inf. Manag..

[76]  Torben Hansen,et al.  The Moderating Influence of Broad‐Scope Trust on Customer–Seller Relationships , 2012 .