The present study investigates a list of technological and social proof attributes with corresponding features that may enhance a shopping site’s efficacy and reputation. A self-administered questionnaire was used to obtain the information that confirms the best fit representing the consumer preference structure for the set of attributes associated with B2C sites. The conjoint analysis results indicate that the respondents accorded maximum importance to two attributes. These attributes include ‘website usability’ and user-generated content’ with corresponding features’ fast and accurate search capability’ and ‘review by a verified buyer,’ the best criterion for choosing a B2C website.
AkhlaqA., & AhmedE. (2015). Digital commerce in emerging economies: Factors associated with online shopping intentions in Pakistan. International Journal of Emerging Markets, 10(4), 634–647.
2.
ArmstrongA., & HagelJ. (2009). The real value of online communities. Knowledge and Communities, 3, 85–96.
3.
BelancheD., CasalóL. V., & FlaviánC. (2012). Integrating trust and personal values into the technology acceptance model: The case of e-government services adoption. Cuadernos de Economia y Direccion de La Empresa, 15(4), 192–204.
4.
BelangerF., HillerJ. S., & SmithW. J. (2002). Trustworthiness in electronic commerce: The role of privacy, security, and site attributes. The Journal of Strategic Information Systems, 11(3–4), 245–270.
5.
BuchananT., PaineC., JoinsonA. N., & ReipsU. D. (2006). Development of measures of online privacy concern and protection for use on the Internet. Journal of the American Society for Information Science and Technology, 58(2), 157–165.
6.
BurgoonJ. K., ParrottR., Le PoireB. A., KelleyD. L., WaltherJ. B., & PerryD. (1989). Maintaining and restoring privacy through communication in different types of relationships. Journal of Social and Personal Relationships, 6(2), 131–158.
7.
CasalóL. V., FlaviánC., & GuinalíuM. (2008). The role of satisfaction and website usability in developing customer loyalty and positive word-of-mouth in the e-banking services. International Journal of Bank Marketing, 26(6), 399–417.
8.
CattinP., & WittinkD. R. (1982). Commercial use of conjoint analysis: A survey. Journal of Marketing, 46(3), 44–53.
9.
ChenY. H., HsuI. C., & LinC. C. (2010). Website attributes that increase consumer purchase intention: A conjoint analysis. Journal of Business Research, 63(9–10), 1007–1014.
10.
ChengY. H., & HoH. Y. (2015). Social influence’s impact on reader perceptions of online reviews. Journal of Business Research, 68(4), 883–887.
11.
DabholkarP. A. (2006). Factors influencing consumer choice of a ‘Rating web site’: An experimental investigation of an online interactive decision aid. Journal of Marketing Theory and Practice, 14(4), 259–273.
12.
DattaP., ChowdhuryD., & ChakrabortyB. (2005). Viral marketing: New form of word-of-mouth through internet. The Business Review, 3(2), 69–75.
13.
DavisF. D. (1989). Perceived usefulness, perceived, and user acceptance. MIS Quarterly, 13(3), 319–339.
14.
DholakiaR. R. (1998). Special issue on conducting business in the new electronic environment: Prospects and problems. Journal of Business Research, 41, 175–177.
15.
EastlickM. A., LotzS. L., & WarringtonP. (2006). Understanding online B-to-C relationships: An integrated model of privacy concerns, trust, and commitment. Journal of Business Research, 59(8), 877–886.
16.
EnnewC. T., BanerjeeA. K., & LiD. (2000). Managing word of mouth communication: Empirical evidence from India. International Journal of Bank Marketing, 18(2), 75–83.
17.
HairF. J., BlackW. C., BillB., BabinB. J., & AndersonR. E. (2013). Multivariate data analysis (7th ed.). Pearson Education.
18.
FlaviánC., & GurreaR. (2008). Reading newspapers on the Internet: The influence of web sites’ attributes. Internet Research, 18(1), 26–45.
19.
FirstPost. (2014). Can North India overtake ‘arrogant’ South in growth?www.firstpost.com/business/economy/can-north-india-overtake-arrogant-south-in-growth-292855.html (accessed 15May2019).
20.
FlaviánC., GuinalíuM., & GurreaR. (2006). The role played by perceived usability, satisfaction and consumer trust on website loyalty. Information and Management, 43(1), 1–14.
21.
GaoW., & LiX. (2018). Building presence in an online shopping website: The role of website quality. Behaviour and Information Technology, 38(1), 28–41.
22.
GilbertJ., & SteadB. A. (2001). Ethical issues in electronic commerce. Journal of Business Ethics, 34(2), 75–85.
23.
GreenP. E., & SrinivasanV. (1978). Conjoint analysis in consumer research: Issues and outlook. Journal of Consumer Research, 5(2), 103.
24.
GreenP. E., & SrinivasanV. (1990). Conjoint analysis in marketing: New developments with implications for research and practice. Journal of Marketing, 54(4), 3–19.
25.
GunawanD. D., & HuarngK. H. (2015). Viral effects of social network and media on consumers’ purchase intention. Journal of Business Research, 68(11), 2237–2241.
26.
HasanB. (2016). Perceived irritation in online shopping: The impact of website design characteristics. Computers in Human Behavior, 54, 224–230.
27.
HaywoodK. M. (1989). Managing word of mouth communications. Journal of Services Marketing, 3(2), 55–67.
28.
HazariS., BergielB. J., & SethnaB. N. (2017). Hedonic and utilitarian use of user-generated content on online shopping websites. Journal of Marketing Communications, 23(6), 572–591.
Hendijani FardM., & MarviR. (2019). Viral marketing and purchase intentions of mobile applications users. International Journal of Emerging Markets, 15(2), 287–301.
31.
Hennig-ThurauT., & WalshG. (2003). Electronic word-of-mouth: Motives for and consequences of reading customer articulations on the internet. International Journal of Electronic Commerce, 8(2), 51–74.
32.
Hennig-ThurauT., GwinnerK. P., WalshG., & GremlerD. 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.
33.
HsuC. L., ChenM. C., KikuchiK., & MachidaI. (2017). Elucidating the determinants of purchase intention toward social shopping sites: A comparative study of Taiwan and Japan. Telematics and Informatics, 34(4), 326–338.
34.
Indiaretailing Bureau. (2016). North indian consumers more demanding, but less trustful of digital payments. NIRS 2016. www.indiaretailing.com/2016/12/15/retail/north-indian-consumersdemanding-less-trustful-digital-payments-nirs-2016/ (accessed 15May2019).
35.
JarvenpaaS. L., TractinskyN., & VitaleM. (2000). Consumer trust in an Internet store. Consumer Trust in an Internet Store, 1(1/2), 45–71.
36.
JuY., BackK. J., ChoiY., & LeeJ. S. (2019). Exploring Airbnb service quality attributes and their asymmetric effects on customer satisfaction. International Journal of Hospitality Management, 77, 342–352.
37.
KalakotaR., & WhinstonA. B. (1996). Frontiers of electronic commerce (p. 850). Pearson Education.
38.
KarimiS., & WangF. (2017). Online review helpfulness: Impact of reviewer profile image. Decision Support Systems, 96, 39–48.
39.
KhammashM. (2008). Electronic word-of-mouth: Antecedents of reading customer reviews in on-line opinion platforms: A quantitative study from the UK market. In Proceedings oh the IADIS International Conference WWW/Internet 2008 (pp. 77–84). http://www.iadisportal.org/digital-library/electronic-word-of-mouth-antecedents-of-reading-customer-reviews-in-on-line-opinion-platforms-a-quantitative-study-from-the-uk-market
40.
KimD. J., FerrinD. L., & RaoH. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564.
41.
KimJ., FioreA. M., & LeeH. H. (2007). Influences of online store perception, shopping enjoyment, and shopping involvement on consumer patronage behavior towards an online retailer. Journal of Retailing and Consumer Services, 14(2), 95–107.
42.
KooL. C., TaoF. K., & YeungJ. H. C. (1999). Preferential segmentation of restaurant attributes through conjoint analysis. International Journal of Contemporary Hospitality Management, 11(5), 242–253.
43.
KumarA., & KashyapA. K. (2018). Leveraging utilitarian perspective of online shopping to motivate online shoppers. International Journal of Retail and Distribution Management, 46(3), 247–263.
44.
KursanMilaković, I. (2021). Purchase experience during the COVID-19 pandemic and social cognitive theory: The relevance of consumer vulnerability, resilience, and adaptability for purchase satisfaction and repurchase. International Journal of Consumer Studies, 45(6), 1425–1442.
45.
LiY. H., & HuangJ. W. (2009). Applying theory of perceived risk and technology acceptance model in the online shopping channel. World Academy of Science, Engineering and Technology, 53(1), 919–925.
46.
LooA. W. (2010). Illusion of wireless security. Advances in Computers, 79, 119–167.
47.
MalholtraN. K., & DashS. (2016). Marketing research: An applied approach (7th ed.). Pearson India Education Services.
48.
MathwickC., & MostellerJ. (2017). Online reviewer engagement: A typology based on reviewer motivations. Journal of Service Research, 20(2), 204–218.
49.
McKnightD. H., ChoudhuryV., & KacmarC. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334–359.
50.
McKnightD. H., CarterM., ThatcherJ. B., & ClayP. F. (2011). Trust in a specific technology: An investigation of its components and measures. ACM Transactions on Management Information Systems, 2(2), 1–25.
51.
MelumadS., InmanJ. J., & PhamM. T. (2019). Selectively emotional: How smartphone use changes user-generated content. Journal of Marketing Research, 56(2), 259–275.
52.
MofokengT. E. (2021). The impact of online shopping attributes on customer satisfaction and loyalty: Moderating effects of e-commerce experience. Cogent Business & Management, 8(1), 1968206.
53.
MohseniS., JayashreeS., RezaeiS., KasimA., & OkumusF. (2018). Attracting tourists to travel companies’ websites: The structural relationship between website brand, personal value, shopping experience, perceived risk and purchase intention. Current Issues in Tourism, 21(6), 616–645.
54.
MotokiK., SuzukiS., KawashimaR., & SugiuraM. (2020). A combination of self-reported data and social-related neural measures forecasts viral marketing success on social media. Journal of Interactive Marketing, 52, 99–117.
55.
MudambiS. M., & SchuffD. (2010). What makes a helpful online review: A study of customer reviews. MIS Quarterly, 34(1), 185–200.
56.
OngB. S. (2011). Online shoppers’ perceptions and use of comparison-shopping sites: An exploratory study. Journal of Promotion Management, 17(2), 207–227.
57.
ParkH., XiangZ., JosiamB., & KimH. (2014). Personal profile information as cues of credibility in online travel reviews. Anatolia, 25(1), 13–23.
58.
PauleyW. A.Jr., ToddS. J., & FisherM. F. (2019). United States Patent. US Patent No. 10,181,043. US Patent and Trademark Office.
59.
PavlouP. A., & GefenD. (2004). Building effective online marketplaces with institution-based trust. Information Systems Research, 15(1), 37–59. 10.1287/isre.1040.0015
60.
PhanQ. P. T., RivasA. A. A., & BatT. (2019). Analyzing electronic word of mouth intention for shopping websites: A means-end chain approach. Journal of Internet Commerce, 18(2), 113–140.
61.
PurohitS., AroraR., & PaulJ. (2022). The bright side of online consumer behavior: Continuance intention for mobile payments. Journal of Consumer Behaviour, 21(3), 523–542. 10.1002/cb.2017
62.
QuesterP. G., & SmartJ. (1998). The influence of consumption situation and product involvement over consumers’ use of product attribute. Journal of Consumer Marketing, 15(3), 220–238.
63.
RamirezE., GauR., HadjimarcouJ., & XuZ.(Jimmy). (2018). User-generated content as word-of-mouth. Journal of Marketing Theory and Practice, 26(1–2), 90–98.
64.
RanganathanC., & GanapathyS. (2002). Key dimensions of business-to-consumer web sites. Information and Management, 39(6), 457–465.
65.
ResnickP., ZeckhauserR., SwansonJ., & LockwoodK. (2006). The value of reputation on eBay: A controlled experiment. Experimental Economics, 9(2), 79–101.
66.
RocaJ. C., GarcíaJ. J., & de la VegaJ. J. (2009). The importance of perceived trust, security and privacy in online trading systems. Information Management and Computer Security, 17(2), 96–113.
67.
RoethkeK., KlumpeJ., AdamM., & BenlianA. (2020). Social influence tactics in e-commerce onboarding: The role of social proof and reciprocity in affecting user registrations. Decision Support Systems, 131, 113268.
68.
SchauppL. C., & BélangerF. (2005). A conjoint analysis of online consumer satisfaction. Journal of Electronic Commerce Research, 6(2), 95–111.
69.
SharmaR. R., & KaurB. (2020). E-mail viral marketing: Modeling the determinants of creation of ‘viral infection’. Management Decision, 58(1), 112–128.
70.
SharmaG., BajpaiN., KulshreshthaK., TripathiV., & DubeyP. (2019). Foresight for online shopping behavior: A study of attribution for ‘what next syndrome’. Foresight, 21(2), 285–317.
71.
ShinD. H. (2010). The effects of trust, security and privacy in social networking: A security-based approach to understand the pattern of adoption. Interacting with Computers, 22(5), 428–438.
72.
SilayoiP., & SpeeceM. (2007). The importance of packaging attributes: A conjoint analysis approach. European Journal of Marketing, 41(11–12), 1495–1517.
73.
SrivastavaV., & KalroA. D. (2019). Enhancing the helpfulness of online consumer reviews: The role of latent (Content) factors. Journal of Interactive Marketing, 48, 33–50.
74.
SundaramD. S., MitraK., & WebsterC. (1998). Word-of-mouth communications: A motivational analysis. Advances in Consumer Research, 25, 527–531.
75.
ThakurR. (2018). Customer engagement and online reviews. Journal of Retailing and Consumer Services, 41, 48–59.
76.
TontiniG. (2016). Identifying opportunities for improvement in online shopping sites. Journal of Retailing and Consumer Services, 31, 228–238.
77.
TurbanE., OutlandJ., KingD., LeeJ. K., LiangT. P., & TurbanD. C. (2018). Intelligent (smart) E-commerce. In TurbanE., OutlandJ., KingD., LeeJ. K., LiangT. P., & TurbanD. C. (Eds.), Electronic commerce 2018 (pp. 249–283). Springer.
78.
UmN. H. (2019). Antecedents and consequences of consumers’ attitude toward social commerce sites. Journal of Promotion Management, 25(4), 500–519.
79.
WangY. (2016). Information adoption model, A review of the literature. Journal of Economics, Business and Management, 4(11), 618–622.
80.
WangY., & RodgersS. (2011). Electronic word of mouth and consumer generated content: From concept to application. In EastinM. S. & BurnsN. M. (Eds.), Handbook of research on digital media and advertising: User generated content consumption (pp. 212–231). Information Science.
81.
WongE., LeungR., & LawR. (2018). Significance of the dimensions and attributes of hotel mobile website from the perceptions of users. International Journal of Hospitality and Tourism Administration, 21(1), 15–37.
82.
XuQ. (2014). Should I trust him? The effects of reviewer profile characteristics on eWOM credibility. Computers in Human Behavior, 33, 136–144.
83.
YapS. F., XuY., & TanL. (2021). Coping with crisis: The paradox of technology and consumer vulnerability. International Journal of Consumer Studies, 45(6), 1239–1257.
84.
ZaroualiB., PonnetK., WalraveM., & PoelsK. (2017). ‘Do you like cookies?’ Adolescents’ skeptical processing of retargeted Facebook-ads and the moderating role of privacy concern and a textual debriefing. Computers in Human Behavior, 69, 157–165.
85.
ZolloL., CarranzaR., FaraoniM., DíazE., & Martín-ConsuegraD. (2021). What influences consumers’ intention to purchase organic personal care products? The role of social reassurance. Journal of Retailing and Consumer Services, 60, 102432.
