Hierarchical effects of website aesthetics on customers' intention to book on hospitality sharing economy platforms

Abstract The essence of the shared accommodation industry is the easing of market entry with online platforms. Since website design is an important visual component of content strategy, this study aims to understand whether and to what extent website aesthetics influences booking intentions and how this process is influenced by customers’ information privacy concerns. The attention-interest-desire-action (AIDA) model is utilized for the theoretical underpinning of this paper, which describes the cognitive steps that customers undergo when booking an online accommodation. This study analyzes a dataset of 325 hospitality sharing economy platform (HSEP) users via a two-stage structural equation modeling process. The results indicate that the AIDA model is applicable as a guideline for uncovering the mechanism through which website aesthetics influences customers’ intention to book through an HSEP. Practitioners should prioritize website design aesthetics because it activates customers’ booking intents. Potential customers who perceive higher privacy risk overcome their concerns about privacy information via more search effort on HSEPs.

[1]  E. Chang,et al.  Research note: E-store image, perceived value and perceived risk , 2013 .

[2]  Alexandre N. Tuch,et al.  Is beautiful really usable? Toward understanding the relation between usability, aesthetics, and affect in HCI , 2012, Comput. Hum. Behav..

[3]  Mu-Chen Chen,et al.  The impact of website quality on customer satisfaction and purchase intention: perceived playfulness and perceived flow as mediators , 2012, Inf. Syst. E Bus. Manag..

[4]  J. Byers,et al.  The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry , 2017 .

[5]  Emma K. Macdonald,et al.  Management Perceptions of the Importance of Brand Awareness as an Indication of Advertising Effectiveness , 2003 .

[6]  S. O. Olsen,et al.  Certainty, risk and knowledge in the satisfaction‐purchase intention relationship in a new product experiment , 2012 .

[7]  Michael D. Buhrmester,et al.  Amazon's Mechanical Turk , 2011, Perspectives on psychological science : a journal of the Association for Psychological Science.

[8]  W. M. Weilbacher.  Point of View: Does Advertising Cause a ‘Hierarchy of Effects’? , 2001, Journal of Advertising Research.

[9]  M. Minor,et al.  Aesthetics and the online shopping environment: Understanding consumer responses , 2011 .

[10]  Mary Ann Eastlick,et al.  An online prepurchase intentions model: The role of intention to search , 2001 .

[11]  Aric P Rindfleisch,et al.  Explaining the Familiarity-Liking Relationship: Mere Exposure, Information Availability, or Social Desirability? , 1998 .

[12]  Young-Gul Kim,et al.  Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..

[13]  T. Ambler,et al.  How Advertising Works: What Do We Really Know? , 1999 .

[14]  L. Stoel,et al.  Effect of brand familiarity, experience and information on online apparel purchase , 2005 .

[15]  Dah-Kwei Liou,et al.  The influence of web aesthetics on customers' PAD , 2014, Comput. Hum. Behav..

[16]  Justin Jager,et al.  Estimating and interpreting latent variable interactions , 2015, International journal of behavioral development.

[17]  Charles E. Brown.  Multiple Discriminant Analysis , 1998 .

[18]  David C. Yen,et al.  The interaction effects of familiarity, breadth and media usage on web browsing experience , 2011, Comput. Hum. Behav..

[19]  Paul van Schaik,et al.  The role of context in perceptions of the aesthetics of web pages over time , 2009, Int. J. Hum. Comput. Stud..

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

[21]  Chechen Liao,et al.  Examining the impact of privacy, trust and risk perceptions beyond monetary transactions: An integrated model , 2011, Electron. Commer. Res. Appl..

[22]  N. Tractinsky,et al.  What is beautiful is usable , 2000, Interact. Comput..

[23]  Jeroen Oskam,et al.  Airbnb: the future of networked hospitality businesses , 2016 .

[24]  Gary A. Steiner,et al.  A Model for Predictive Measurements of Advertising Effectiveness , 1961 .

[25]  Chris K. Anderson,et al.  The Billboard Effect: Online Travel Agent Impact on Non-OTA Reservation Volume , 2009 .

[26]  Rich Harrill,et al.  Chinese Customers’ Evaluation of Travel Website Quality: A Decision-Tree Analysis , 2016 .

[27]  A. Reichel,et al.  Tourist Destination Risk Perception: The Case of Israel , 2006 .

[28]  David F. Larcker,et al.  Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics: , 1981 .

[29]  Hae Young Lee,et al.  A study of the impact of personal innovativeness on online travel shopping behavior—A case study of Korean travelers , 2007 .

[30]  Asle Fagerstrøm,et al.  That personal profile image might jeopardize your rental opportunity! On the relative impact of the seller's facial expressions upon buying behavior on Airbnb™ , 2017, Comput. Hum. Behav..

[31]  Mingming Cheng.  Sharing economy: A review and agenda for future research , 2016 .

[32]  Sarah Spiekermann,et al.  Online social networks: why we disclose , 2010, J. Inf. Technol..

[33]  S. Forsythe,et al.  Consumer patronage and risk perceptions in Internet shopping , 2003 .

[34]  Gary Marchionini,et al.  Find What You Need, Understand What You Find , 2007, Int. J. Hum. Comput. Interact..

[35]  Ulrike Gretzel,et al.  Measuring Web Site Quality for Online Travel Agencies , 2007 .

[36]  Marc Hassenzahl,et al.  The Inference of Perceived Usability From Beauty , 2010, Hum. Comput. Interact..

[37]  Susan B. Barnes,et al.  A privacy paradox: Social networking in the United States , 2006, First Monday.

[38]  Michael T. Bendixen,et al.  ADVERTISING EFFECTS AND EFFECTIVENESS , 1993 .

[39]  B. Wijaya.  The Development of Hierarchy of Effects Model in Advertising , 2012 .

[40]  D. Belanche,et al.  Website usability, consumer satisfaction and the intention to use a website: The moderating effect of perceived risk , 2012 .

[41]  J. W. Hutchinson,et al.  Dimensions of Consumer Expertise , 1987 .

[42]  M. Laroche,et al.  How to reduce perceived risk when buying online: The interactions between intangibility, product knowledge, brand familiarity, privacy and security concerns , 2014 .

[43]  Qiuzhen Wang,et al.  An eye-tracking study of website complexity from cognitive load perspective , 2014, Decis. Support Syst..

[44]  Noam Tractinsky,et al.  Assessing dimensions of perceived visual aesthetics of web sites , 2004 .

[45]  Helfried Moosbrugger,et al.  Maximum likelihood estimation of latent interaction effects with the LMS method , 2000 .

[46]  R. Bies,et al.  Consumer Privacy: Balancing Economic and Justice Considerations , 2003 .

[47]  Purwanto,et al.  The Relationship of Aida Model in Term of Website Design and Structure towards Purchasing Decision on Zalora Indonesia (A Case Study of President University Student) , 2013 .

[48]  A. Dedeke.  Travel web-site design: information task-fit, service quality and purchase intention. , 2016 .

[49]  Enrique Bonsón,et al.  Influence of trust and perceived value on the intention to purchase travel online: Integrating the effects of assurance on trust antecedents , 2015 .

[50]  Spike Cramphorn.  How to Use Advertising to Build Brands: In Search of the Philosopher's Stone , 2006 .

[51]  C. Vogt,et al.  Relationships between Travel Information Search and Travel Product Purchase in Pretrip Contexts , 2007 .

[52]  J. Bettman,et al.  Effects of Prior Knowledge and Experience and Phase of the Choice Process on Consumer Decision Processes: A Protocol Analysis , 1980 .

[53]  D. R. Danielson,et al.  How do users evaluate the credibility of Web sites?: a study with over 2,500 participants , 2003, DUX '03.

[54]  J. Russell,et al.  An approach to environmental psychology , 1974 .

[55]  Kristopher J Preacher,et al.  Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models , 2008, Behavior research methods.

[56]  B. Bai,et al.  The impact of website quality on customer satisfaction and purchase intentions : evidence from Chinese online visitors , 2008 .

[57]  Detmar W. Straub,et al.  The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-Commerce Adoption , 2000, J. Assoc. Inf. Syst..

[58]  E. Ert,et al.  Trust and reputation in the sharing economy: The role of personal photos in Airbnb , 2015 .

[59]  S. Lennon,et al.  Effects of reputation and website quality on online consumers' emotion, perceived risk and purchase intention , 2013 .

[60]  Sangwon Lee,et al.  Understanding user preferences based on usability and aesthetics before and after actual use , 2010, Interact. Comput..

[61]  William R. Darden,et al.  An action strategy approach to examining shopping behavior , 1990 .

[62]  Bruce F. Hall.  A New Model For Measuring Advertising Effectiveness , 2002, Journal of Advertising Research.

[63]  I. Wen.  An Empirical Study of an Online Travel Purchase Intention Model , 2012 .

[64]  S. Asch.  Forming impressions of personality. , 1946, Journal of Abnormal Psychology.

[65]  Anol Bhattacherjee,et al.  Individual Trust in Online Firms: Scale Development and Initial Test , 2002, J. Manag. Inf. Syst..

[66]  Diane M. Strong,et al.  Beyond Accuracy: What Data Quality Means to Data Consumers , 1996, J. Manag. Inf. Syst..

[67]  Edward K. Strong,et al.  The psychology of selling and advertising , 1925 .

[68]  Chun-Ming Chang,et al.  Re-examining the influence of trust on online repeat purchase intention: The moderating role of habit and its antecedents , 2012, Decis. Support Syst..

[69]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[70]  Guest Perceptions and Uncertainty , 2004 .

[71]  W. Wymer,et al.  A risk worth taking: Perceived risk as moderator of satisfaction, loyalty, and willingness-to-pay premium price , 2016 .

[72]  J. Scott Armstrong,et al.  Estimating nonresponse bias in mail surveys. , 1977 .

[73]  D. Gefen,et al.  E-commerce: the role of familiarity and trust , 2000 .

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

[75]  Peter M. Bentler,et al.  Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic , 2008, Psychometrika.

[76]  Carlos Flavián,et al.  The role of perceived usability, reputation, satisfaction and consumer familiarity on the website loyalty formation process , 2008, Comput. Hum. Behav..

[77]  Sonia San Martín Gutiérrez,et al.  Product and channel-related risk and involvement in online contexts , 2010, Electron. Commer. Res. Appl..

[78]  D. Gursoy,et al.  AN INTEGRATIVE MODEL OF TOURISTS’ INFORMATION SEARCH BEHAVIOR , 2004 .

[79]  Fred D. Davis.  A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[80]  Marc Hassenzahl,et al.  The Interplay of Beauty, Goodness, and Usability in Interactive Products , 2004, Hum. Comput. Interact..

[81]  Juho Hamari,et al.  The sharing economy: Why people participate in collaborative consumption , 2016, J. Assoc. Inf. Sci. Technol..

[82]  Christof Weinhardt,et al.  Trust in the Sharing Economy: An Experimental Framework , 2016, ICIS.

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

[84]  T. E. Barry.  In Defence of the Hierarchy of Effects , 2002, Journal of Advertising Research.

[85]  Donald F. Cox,et al.  Perceived Risk and Consumer Decision-Making—The Case of Telephone Shopping , 1964 .

[86]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[87]  Gitte Lindgaard,et al.  Attention web designers: You have 50 milliseconds to make a good first impression! , 2006, Behav. Inf. Technol..