The acceptance of ‘intelligent trade shows’: Visitors’ evaluations of IS innovation

Trade Shows (TSs) provide “high-quality information,” as thousands of specialists and experts are gathered in one place at one time. Thus, information technology systems become essential for TSs. This study explores the characteristics of TSs’ onsite Information Technology (IT). This study aim to explore the relationships among onsite IT usage, visitors’ effectiveness and perception through the innovation characteristics (i.e., relative advantage, compatibility, and complexity). The study was conducted at a representative TS in Korea and used a survey approach to empirically understand the perception of onsite IT usage. The findings suggest that the four characteristics of product intelligence are influential factors of TSs’ onsite IT. Among them, relative advantage and compatibility had positive impacts on TS effectiveness, while complexity did not. In addition, discussions of the results, theoretical and practical implications for practitioners, limitations, and suggestions for future studies are presented.

[1]  L. G. Tornatzky,et al.  Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings , 1982, IEEE Transactions on Engineering Management.

[2]  Deborah Compeau,et al.  Application of Social Cognitive Theory to Training for Computer Skills , 1995, Inf. Syst. Res..

[3]  Mark Brown,et al.  Consumer perceptions of trade show effectiveness : scale development and validation within a B2C context , 2014 .

[4]  Kåre Hansen.  Measuring performance at trade shows: Scale development and validation , 2004 .

[5]  Peter B. Seddon,et al.  Assessing and managing the benefits of enterprise systems: the business manager's perspective , 2002, Inf. Syst. J..

[6]  V. Agarwal,et al.  The intelligent product driven supply chain , 2002, IEEE International Conference on Systems, Man and Cybernetics.

[7]  A comparison of Brunei and Hong Kong - SAR student teachers' self-efficacy in implementing inclusive education practices: implications for teacher education , 2013 .

[8]  F. F. Reichheld,et al.  Zero defections: quality comes to services. , 1990, Harvard business review.

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

[10]  Alladi Venkatesh,et al.  Beyond Adoption: Development and Application of a Use-Diffusion Model , 2004 .

[11]  William T. Ross,et al.  The Role of Attributions in Customer Satisfaction: A Re-Examination , 2004 .

[12]  Margaret Tan,et al.  The consequences of information technology acceptance on subsequent individual performance , 1997, Inf. Manag..

[13]  R. Watson,et al.  U-commerce: Expanding the universe of marketing , 2002 .

[14]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[15]  Serge Rijsdijk.  Smart products: consumer evaluations of a new product class , 2006 .

[16]  Aviv Shoham,et al.  Performance in Trade Shows and Exhibitions , 1999 .

[17]  Qinghua Zhu,et al.  Evaluation on crowdsourcing research: Current status and future direction , 2012, Information Systems Frontiers.

[18]  Anandhi S. Bharadwaj,et al.  A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation , 2000, MIS Q..

[19]  R. Dale Wilson,et al.  Using trade show information to enhance company success: An empirical investigation , 2012 .

[20]  Timothy M. Smith,et al.  The complementary effect of trade shows on personal selling , 2004 .

[21]  France Bélanger,et al.  The utilization of e‐government services: citizen trust, innovation and acceptance factors * , 2005, Inf. Syst. J..

[22]  Wynne W. Chin,et al.  Adoption intention in GSS: relative importance of beliefs , 1995, DATB.

[23]  Margaret Tan,et al.  Factors Influencing the Adoption of Internet Banking , 2000, J. Assoc. Inf. Syst..

[24]  Angelika Zimmermann,et al.  Vicious and virtuous circles of offshoring attitudes and relational behaviours. A configurational study of German IT developers , 2013, Inf. Syst. J..

[25]  Thomas C. Kinnear,et al.  Exploring the Consumer Decision Process in the Adoption of Solar Energy Systems , 1981 .

[26]  B. Schneider.  The service organization: Climate is crucial , 1980 .

[27]  Chih-Cheng Lo,et al.  An empirical study of commercialization performance on nanoproducts , 2012 .

[28]  Kenneth L. Kraemer,et al.  Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value , 2004, MIS Q..

[29]  Kenneth E. Murphy,et al.  Intangible benefits valuation in ERP projects , 2002, Inf. Syst. J..

[30]  P. Verhoef,et al.  Possible determinants of consumers’ adoption of electronic grocery shopping in the Netherlands , 2001 .

[31]  Judy Drennan,et al.  The influence of service quality and trade show effectiveness on post-show purchase intention , 2011 .

[32]  Peter Mayer,et al.  User Acceptance of 'Smart Products': An Empirical Investigation , 2011, Wirtschaftsinformatik.

[33]  Hyung Seok Lee,et al.  Product Smartness and Use-Diffusion of Smart Products: The Mediating Roles of Consumption Values , 2014 .

[34]  Chun Kit Lok,et al.  Adoption of Smart Card-Based E-payment System for Retailing in Hong Kong Using an Extended Technology Acceptance Model , 2015 .

[35]  G. Robert,et al.  Diffusion of innovations in service organizations: systematic review and recommendations. , 2004, The Milbank quarterly.

[36]  Adamantios Diamantopoulos,et al.  Dynamic and Competitive Effects of Direct Mailings Dynamic and Competitive Effects of Direct Mailings Dynamic and Competitive Effects of Direct Mailings , 2006 .

[37]  Paul Herbig,et al.  Differences between trade show exhibitors and non‐exhibitors , 1997 .

[38]  Sven Laumer,et al.  Research on information systems failures and successes: Status update and future directions , 2014, Information Systems Frontiers.

[39]  Christopher R. Plouffe.  Intermediating technologies and multi‐group adoption: A comparison of consumer and merchant adoption intentions toward a new electronic payment system , 2001 .

[40]  Erja Mustonen-Ollila,et al.  Why organizations adopt information system process innovations: a longitudinal study using Diffusion of Innovation theory , 2003, Inf. Syst. J..

[41]  Erik Jan Hultink,et al.  How Today’s Consumers Perceive Tomorrow’s Smart Products , 2007 .

[42]  Sanjay E. Sarma,et al.  Auto ID systems and intelligent manufacturing control , 2003 .

[43]  Wynne W. Chin,et al.  Structural equation modeling analysis with small samples using partial least squares , 1999 .

[44]  Jeff W. Johnson.  LINKING EMPLOYEE PERCEPTIONS OF SERVICE CLIMATE TO CUSTOMER SATISFACTION , 1996 .

[45]  Jan Holmström,et al.  Intelligent Products: A survey , 2009, Comput. Ind..

[46]  Rajiv Kohli,et al.  Complementary Investment in Change Management and IT Investment Payoff , 2003, Inf. Syst. Frontiers.

[47]  Jeffrey M. Bradshaw,et al.  Software agents , 1997 .

[48]  Jillian C. Sweeney,et al.  "After I Had Made the Decision, I...: " Toward a Scale to Measure Cognitive Dissonance , 1998 .

[49]  Taedong Han,et al.  Trade Show Websites: An Examination of Critical Websites' Quality Factors and Content Items , 2008 .

[50]  Salvador Ruiz,et al.  Trade Fairs as Services: A Look at Visitors' Objectives in Spain , 1999 .

[51]  Klaus-Dieter Thoben,et al.  Digital Representations of Intelligent Products: Product Avatar 2.0 , 2013 .

[52]  M. Holbrook.  Consumption experience, customer value, and subjective personal introspection: An illustrative photographic essay , 2006 .

[53]  Harry Bouwman,et al.  An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models , 2008, Inf. Manag..

[54]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[55]  Kevin B. Wright,et al.  Researching Internet-Based Populations: Advantages and Disadvantages of Online Survey Research, Online Questionnaire Authoring Software Packages, and Web Survey Services , 2006, J. Comput. Mediat. Commun..

[56]  J. Nunnally.  Psychometric Theory (2nd ed), New York: McGraw-Hill. , 1978 .