Determinants of Website Usability: Empirical Evidence from Tourism Sector in India

Abstract

Website usability has received decent empirical attention in recent academic literature. However, there are various website characteristics that might still influence the usability of websites. In this empirical exploration, we propose three such characteristics: speed with which websites respond to customer requests (i.e., website agility); the capability of websites to restore its operations in the face of a disruption (i.e., website resilience) and the capability of websites to retain the interests of customers and keep them engaged interactively (i.e., website attractiveness) as enablers of website usability based on dynamic capability extension of resource-based view. Further, we argue that website usability will influence electronic word of mouth (e-WOM) for those websites. We also explore if there is any influence of website agility and resilience on website attractiveness. Using customers as target respondents who have used websites mainly for travel and tourism purposes, we test for the proposed relationships through collecting survey data based on face-to-face interview. Partial least squares analysis of 285 survey responses suggests website agility attractiveness and resilience to be dominant enablers for website usability and website usability positively influences e-WOM.

Keywords

Website usability dynamic capability e-WOM agility resilience attractiveness

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References

Agarwal

& Venkatesh

(2002). Assessing a firm’s web presence: A heuristic evaluation procedure for the measurement of usability. Information Systems Research, 13(2), 168–186.

Alexandrova

(2015). Risk factors in IT outsourcing partnerships: Vendors’ perspective. Global Business Review, 16(5), 747–759.

Alhidari

Iyer

& Paswan

(2015). Personal level antecedents of eWOM and purchase intention, on social networking sites. Journal of Customer Behaviour, 14(2), 107–125.

Ambrosini

& Bowman

(2009). What are dynamic capabilities and are they a useful construct in strategic management? International Journal of Management Reviews, 11(1), 29–49.

Amit

& Schoemaker

P. J.

(1993). Investment in strategic assets: Industry and firm-level perspectives. Pennsylvania, PA: Wharton School, SEI Center for Advanced Studies in Management.

Anderson

E. W.

(1998). Customer satisfaction and word of mouth. Journal of Service Research, 1(1), 5–17.

Arndt

(1967). Role of product-related conversations in the diffusion of a new product. Journal of Marketing Research, 4(3), 291–295.

Barney

(1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120.

Bakos

J. Y.

(1997). Reducing buyer search costs: Implications for electronic marketplaces. Management Science, 43(12), 1676–1692.

10.

Becker

S. A.

& Mottay

F. E.

(2001). A global perspective on web site usability. IEEE Software, 18(1), 54–61.

11.

Bergeron

Ricard

& Perrien

(2003). Les déterminants de la fidélité des clients commerciaux dans l’industrie bancaire canadienne [The determinants of commercial customer loyalty in the industry Canadian bank]. Canadian Journal of Administrative Sciences, 20(2), 107–120.

12.

Bickart

& Schindler

R. M.

(2001). Internet forums as influential sources of consumer information. Journal of Interactive Marketing, 15(3), 31–40.

13.

Blome

Schoenherr

& Rexhausen

(2013). Antecedents and enablers of supply chain agility and its effect on performance: A dynamic capabilities perspective. International Journal of Production Research, 51(4), 1295–1318.

14.

Boles

J. S.

Barksdale

H. C.

& Johnson

J. T.

(1997). Business relationships: An examination of the effects of buyer-salesperson relationships on customer retention and willingness to refer and recommend. Journal of Business and Industrial Marketing, 12(3–4), 253–264.

15.

Brandon-Jones

Squire

Autry

C. W.

& Petersen

K. J.

(2014). A contingent resource-based perspective of supply chain resilience and robustness. Journal of Supply Chain Management, 50(3), 55–73.

16.

Buhalis

(2003). eTourism: Information technology for strategic tourism management. London, UK: Pearson (Financial Times/Prentice-Hall).

17.

Buhalis

& Law

(2008). Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism research. Tourism Management, 29(4), 609–623.

18.

Casalo

Flavian

& Guinaliu

(2008). The role of perceived usability, reputation, satisfaction and consumer familiarity on the website loyalty formation process. Computers in Human Behavior, 24(2), 325–345.

19.

Chang

H. C.

Lai

H. H.

& Chang

Y. M.

(2007). A measurement scale for evaluating the attractiveness of a passenger car form aimed at young consumers. International Journal of Industrial Ergonomics, 37(1), 21–30.

20.

Chau

& Wong

C. H.

(2010). Designing the user interface and functions of a search engine development tool. Decision Support Systems, 48(2), 369–382.

21.

Chin

W. W.

(1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336.

22.

Chu

(2001). What online Hong Kong travellers look for on airline/travel Websites? International Journal of Hospitality Management, 20(1), 95–100.

23.

Churchill Jr

G. A.

(1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64–73.

24.

Cohen

(1988). Statistical power analysis: A computer program. London, UK: Routledge.

25.

Corritore

Kracher

& Wiedenbeck

(2003). On-line trust: Evolving themes, a model. International Journal of Human-Computer Studies, 58(6), 737–758.

26.

Crocker

K. E.

(1986). The influence of the amount and type of information on individuals’ perception of legal services. Journal of the Academy of Marketing Science, 14(4), 18–27.

27.

Cyr

Head

Larios

& Pan

(2009). Pan, exploring human images in website design: A multi-method approach. MIS Quarterly, 33(3), 539–566.

28.

Davis

(1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

29.

Donovan

J. M.

Hill

& Jankowiak

W. R.

(1989). Gender, sexual orientation, and truth-of-consensus in studies of physical attractiveness. Journal of Sex Research, 26(2), 264–271.

30.

Eisenhardt

K. M.

& Brown

S. L.

(1998). Competing on the edge: Strategy as structured chaos. Long Range Planning, 31(5), 786–789.

31.

Engel

J. F.

Kegerreis

R. J.

& Blackwell

R. D.

(1969). Word-of-mouth communication by the innovator. Journal of Marketing, 33(3), 15–19.

32.

Eveleth

D. M.

Baker-Eveleth

L. J.

& Stone

R. W.

(2015). Potential applicants’ expectation-confirmation and intentions. Computers in Human Behavior, 44(March), 183–190.

33.

Fang

& Holsapple

C. W.

(2007). An empirical study of web site navigation structures’ impacts on web site usability. Decision Support Systems, 43(2), 476–491.

34.

Flavián

Guinalíu

& Gurrea

(2006). The role played by perceived usability, satisfaction and consumer trust on website loyalty. Information and Management, 43(1), 1–14.

35.

Fornell

& Larcker

D. F.

(1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(3), 39–50.

36.

Gangwar

& Date

(2016). Critical factors of cloud computing adoption in organizations: An empirical study. Global Business Review, 17(4), 886–904.

37.

Gangestad

S. W.

& Scheyd

G. J.

(2005). The evolution of human physical attractiveness. Annual Review of Anthropology, 34, 523–548.

38.

Gerbing

D. W.

& Anderson

J. C.

(1988). An updated paradigm for scale development incorporating unidimensionality and its assessment. Journal of Marketing Research, 25(2), 186–192.

39.

Gligor

D. M.

& Holcomb

M. C.

(2012). Antecedents and consequences of supply chain agility: Establishing the link to firm performance. Journal of Business Logistics, 33(4), 295–308.

40.

Goldman

S. L.

Nagel

& Preiss

(1995). Agile competitors and virtual organizations. New York, NY: Van Nostrand Reinhold.

41.

Goldsmith

R. E.

& Horowitz

(2006). Measuring motivations for online opinion seeking. Journal of Interactive Advertising, 6(2), 2–14.

42.

Green

& Pearson

J. M.

(2009). The examination of two web site usability instruments for use in B2C e-commerce organizations. The Journal of Computer Information Systems, 49(4), 19–32.

43.

Green

D. T.

& Pearson

J. M.

(2011). Integrating website usability with the electronic commerce acceptance model. Behaviour and Information Technology, 30(2), 181–199.

44.

Hartline

M. D.

& Jones

K. C.

(1996). Employee performance cues in a hotel service environment: Influence on perceived service quality, value, and word-of-mouth intentions. Journal of Business Research, 35(3), 207–215.

45.

Hartmann

Sutcliffe

& De Angeli

(2007, April). Investigating attractiveness in web user interfaces. In Rosson

M. B.

& Gilmore

(Eds), Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 387–396). New York, NY: ACM.

46.

Hayes

R. H.

& Wheelwright

S. C.

(1984). Restoring our competitive edge: Competing through manufacturing (Vol. 8). New York, NY: Wiley.

47.

Helfat

C. E.

Finkelstein

Mitchell

Peteraf

M. A.

Singh

Teece

D. J.

& Winter

S. G.

(2007). Dynamic capabilities. Understanding strategic change in organizations. Oxford, UK: Wiley-Blackwell

48.

Hennig-Thurau

Gwinner

K. P.

Walsh

& Gremler

D. D.

(2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1), 38–52.

49.

Henseler

& Sarstedt

(2013). Goodness-of-fit indices for partial least squares path modeling. Computational Statistics, 28(2), 565–580.

50.

Henseler

Dijkstra

T. K.

Sarstedt

Ringle

C. M.

Diamantopoulos

Straub

D. W.

… & Calantone

R. J.

(2014). Common beliefs and reality about PLS: Comments on Rönkkö and Evermann (2013). Organizational Research Methods, 17(2), 182–209.

51.

Homburg

Totzek

& Krämer

(2014). How price complexity takes its toll: The neglected role of a simplicity bias and fairness in price evaluations. Journal of Business Research, 67(6), 1114–1122.

52.

Hwang

& Kim

D. J.

(2007). Customer self-service systems: The effects of perceived Web quality with service contents on enjoyment, anxiety, and e-trust. Source, Decision Support Systems, 43(3), 746–760.

53.

ISO (1998). Ergonomic requirements for office work with visual display terminals (VDTS)–Part 11: Guidance on usability (ISO 9241-11:1998). Geneva, Switzerland: International Organization for Standardization (ISO).

54.

Jha

& Ye

(2016). The impact of demographic variables on perception of importance and continued usage of Facebook in the US. Global Business Review, 17(1), 1–15.

55.

Katz

& Lazarsfeld

P. F.

(1955). Personal influence: The part played by people in the flow of mass communications. Piscataway, NJ: Transaction Publishers.

56.

Ketchen Jr

D. J.

& Hult

G. T. M.

(2007). Bridging organization theory and supply chain management: The case of best value supply chains. Journal of Operations Management, 25(2), 573–580.

57.

Kim

Lee

Han

& Lee

(2002). Businesses as buildings: Metrics for the architectural quality of Internet businesses. Information Systems Research, 13(3), 239–254.

58.

Ladhari

& Morales

(2011). Bank service quality: Comparing Canadian and Tunisian customer perceptions. International Journal of Bank Marketing, 29(3), 224–246.

59.

Langlois

J. H.

Kalakanis

Rubenstein

A. J.

Larson

Hallam

& Smoot

(2000). Maxims or myths of beauty? A meta-analytic and theoretical review. Psychological Bulletin, 126(3), 390.

60.

Lekwa

V. L.

Rice

T. W.

& Hibbing

M.V.

(2007). The correlates of community attractiveness. Environment and Behavior, 39(2), 198–216.

61.

Loiacono

E. T.

Watson

R. T.

& Goodhue

D. L.

(2000). WebQual: A website quality instrument (Working Paper No. 2000-126-0). Athens, GA: University of Georgia.

62.

Loiacono

E. T.

Watson

R. T.

& Goodhue

D. L.

(2007). WebQual: An instrument for consumer evaluation of web sites. International Journal of Electronic Commerce, 11(3), 51–87.

63.

Luo

& Zhang

(2012). The effectiveness of online shopping characteristics and well-designed websites on satisfaction. MIS Quarterly, 36(4), 1131–1144.

64.

Mazaheri

Richard

M. O.

& Laroche

(2011). Online consumer behavior: Comparing Canadian and Chinese website visitors. Journal of Business Research, 64(9), 958–965.

65.

McKinney

Yoon

& Zahedi

F. M.

(2002). The measurement of web-customer satisfaction: An expectation and disconfirmation approach. Information Systems Research, 13(3), 296–315.

66.

Mohd-Any

A. A.

Winklhofer

& Ennew

(2015). Measuring users’ value experience on a travel website (e-Value) what value Is cocreated by the user? Journal of Travel Research, 54(4), 496–510.

67.

Mummalaneni

(2005). An empirical investigation of web site characteristics, consumer emotional states and on-line shopping behaviors. Journal of Business Research, 58(4), 526–532.

68.

Nelson

R. R.

Todd

P. A.

& Wixom

B. H.

(2005). Antecedents of information and system quality: An empirical examination within the context of data warehousing. Journal of Management Information Systems, 21(4), 199–235.

69.

Nielsen

(1994). Usability engineering. San Francisco, CA: Morgan Kaufmann.

70.

Nielsen

(2000). Designing web usability. Indianapolis, IN: New Riders.

71.

Norman

D. A.

(1998). The invisible computer: Why good products can fail, the personal computer is so complex, and information appliances are the solution. MIT press.

72.

Nusair

& Kandampully

(2008). The antecedents of customer satisfaction with online travel services: a conceptual model. European Business Review, 20(1), 4–19.

73.

Otero

E. L.

Gallego

P. A. M.

& Pratt

R. M.

(2014). Click-and-Mortar SMEs: Attracting customers to your website. Business Horizons, 57(6), 729–736.

74.

Parasuraman

Zeithaml

V. A.

& Berry

L. L.

(1988). Servqual. Journal of Retailing, 64(1), 12–40.

75.

Park

Y. A.

& Gretzel

(2007). Success factors for destination marketing web sites: A qualitative meta-analysis. Journal of Travel Research, 46(1), 46–63.

76.

Parkin

(2012). The impact of multimedia technology on candidate website visitors. Journal of Political Marketing, 11(3), 143–164.

77.

Peng

D. X.

& Lai

(2012). Using partial least squares in operations management research: A practical guideline and summary of past research. Journal of Operations Management, 30(6), 467–480.

78.

Ponomarov

(2012). Antecedents and consequences of supply chain resilience: A dynamic capabilities perspective (Doctoral dissertation). University of Tennessee. Retrieved from http://trace.tennessee.edu/utk_graddiss/1338/

79.

Ponomarov

S. Y.

& Holcomb

M. C.

(2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1), 124–143.

80.

Poon

(1993). Tourism, technology and competitive strategies. Oxford, UK: CAB International.

81.

Raj

M. P. M.

& Roy

(2015). Impact of brand image on consumer decision-making: A study on high-technology products. Global Business Review, 16(3), 463–477.

82.

Reuters (2017). Disruption in Amazon’s cloud service ripples through internet. Retrieved from https://www.reuters.com/article/us-amazon-com-aws-outages-idUSKBN1672E2

83.

Scheurwater

G. J.

& Doorman

S. J.

(2001). Introducing ethics and engineering: The case of Delft University of Technology. Science and Engineering Ethics, 7(2), 261–266.

84.

Schenkman

B. N.

& Jönsson

F. U.

(2000). Aesthetics and preferences of web pages. Behaviour and Information Technology, 19(5), 367–377.

85.

Scholten

Scott

P. S.

& Fynes

(2014). Mitigation processes–antecedents for building supply chain resilience. Supply Chain Management: An International Journal, 19(2), 211–228.

86.

Sheldon

(1997). Tourism information technologies. Oxford, UK: CAB International.

87.

Shimojo

Mier

& Shimojo

(2011). Visual attractiveness is leaky (3): Effects of emotion, distance and timing. Journal of Vision, 11(11), 631–631.

88.

Shneiderman

(1998). Designing the user interface: Strategies for effective human–computer interaction. Boston, MA: Addison-Wesley.

89.

Sutcliffe

(2002, January). Assessing the reliability of heuristic evaluation for website attractiveness and usability. In Proceedings of the 35th Annual Hawaii International Conference on System Sciences (pp. 1838–1847). IEEE.

90.

Sutcliffe

A. G.

Kurniawan

& Shin

J. E.

(2006). A method and advisor tool for multimedia user interface design. International Journal of Human-Computer Studies, 64(4), 375–392.

91.

Swafford

P. M.

Ghosh

& Murthy

(2006). The antecedents of supply chain agility of a firm: Scale development and model testing. Journal of Operations Management, 24(2), 170–188.

92.

Swafford

P. M.

Ghosh

& Murthy

(2008). Achieving supply chain agility through IT integration and flexibility. International Journal of Production Economics, 116(2), 288–297.

93.

Tenenhaus

Vinzi

V. E.

Chatelin

Y. M.

& Lauro

(2005). PLS path modeling. Computational Statistics and Data Analysis, 48(1), 159–205.

94.

Teece

D. J.

Pisano

& Shuen

(1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533.

95.

Teece

D. J.

(2007). Explicating dynamic capabilities: The nature and micro foundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350.

96.

Teo

H. H.

Chan

H. C.

Wel

K. K.

& Zhang

(2003). Evaluating information accessibility and community adaptivity features for sustaining virtual learning communities. International Journal of Human-Computer Studies, 59(5), 671–697.

97.

Treiblmaier

& Pinterits

(2010). Developing metrics for web sites. Journal of Computer Information Systems, 50(3), 1–10.

98.

Tung

L. L.

& Tan

F. B.

(2009). Attributes of web site usability: A study of web users with the repertory grid technique. International Journal of Electronic Commerce, 13(4), 97–126.

99.

Umberson

& Hughes

(1987). The impact of physical attractiveness on achievement and psychological well-being. Social Psychology Quarterly, 227–236.

100.

UNWTO (2001). eBusiness for tourism: Practical guidelines for destinations and businesses. Madrid: World Tourism Organization.

101.

Van der Heijden

Verhagen

& Creemers

(2003). Understanding online purchase intentions: Contributions from technology and trust perspectives. European Journal of Information Systems, 12(1), 41–48.

102.

Verhoef

P. C.

& Lemon

K. N.

(2013). Successful customer value management: Key lessons and emerging trends. European Management Journal, 31(1), 1–15.

103.

Wagner

Hassanein

& Head

(2014). The impact of age on website usability. Computers in Human Behavior, 37(August), 270–282.

104.

Wieland

& Wallenburg

C. M.

(2013). The influence of relational competencies on supply chain resilience: A relational view. International Journal of Physical Distribution & Logistics Management, 43(4), 300–320.

105.

Wirtz

B. W.

Piehler

& Ullrich

(2013). Determinants of social media website attractiveness. Journal of Electronic Commerce Research, 14(1), 11–33.

106.

World Travel and Tourism Council Report (2012). Retrieved from https://www.wttc.org/economic-impact/country-analysis/country-reports/

107.

World Travel and Tourism Council Report (2013). Retrieved from https://www.wttc.org/economic-impact/country-analysis/country-reports/

108.

Yang

& Fang

(2004). Online service quality dimensions and their relationships with satisfaction. International Journal of Service Industry Management, 15(3), 302–326.

109.

Yang

Cai

Zhou

& Zhou

(2005). Development and validation of an instrument to measure user perceived service quality of information presenting web portals. Information and Management, 42(4), 575–589.

110.

Yusuf

Y. Y.

Gunasekaran

Musa

Dauda

El-Berishy

N. M.

& Cang

(2014). A relational study of supply chain agility, competitiveness and business performance in the oil and gas industry. International Journal of Production Economics, 147, 531–543.

111.

Zulkafli

N. A.

Omar

& Hashim

N. H.

(2014). Selective exposure to Berita Harian Online and Utusan Malaysia Online: The roles of surveillance motivation, website usability and website attractiveness. SEARCH: The Journal of the South East Asia Research Centre for Communication and Humanities, 6(2), 25–45.