Recommendation quality, transparency, and website quality for trust-building in recommendation agents

Adamopoulou, 2014, A simulation testbed for analyzing trust and reputation mechanisms in unreliable online markets, Electron. Commer. Res. Appl., 13, 368, 10.1016/j.elerap.2014.07.001

Aksoy, 2006, Should recommendation agents think like people?, J. Serv. Res., 8, 297, 10.1177/1094670506286326

Al-Qeisi, 2014, Website design quality and usage behavior: unified theory of acceptance and use of technology, J. Business Res., 67, 2282, 10.1016/j.jbusres.2014.06.016

Baier, 2010, Acceptance of recommendations to buy in online retailing, J. Retail. Consum. Serv., 17, 173, 10.1016/j.jretconser.2010.03.005

Barnes, 2002, An integrative approach to the assessment of e-commerce quality, J. Electron. Commerce Res., 3, 114

Barnes, 2003, Measuring web site quality improvements: a case study of the forum on strategic management knowledge exchange, Ind. Manage. Data Syst., 103, 297, 10.1108/02635570310477352

Bodoff, 2015, Effectiveness of website personalization: does the presence of personalized recommendations cannibalize sampling of other items?, Int. J. Electron. Commerce, 20, 208, 10.1080/10864415.2016.1087821

Boomsma, 1982, Robustness of LISREL against small sample sizes in factor analysis models, 149

Chang, 2008, The impact of online store environment cues on purchase intention: trust and perceived risk as a mediator, Online Inf. Rev., 32, 818, 10.1108/14684520810923953

Chang, 2014, The impact of website quality and perceived trust on customer purchase intention in the hotel sector: website brand and perceived value as moderators, Int. J. Innov. Manage. Technol., 5, 255

Chau, 2013, Examining the effects of malfunctioning personalized services on online users’ distrust and behaviors, Decis. Support Syst., 56, 180, 10.1016/j.dss.2013.05.023

Chopra, K., Wallace, W.A., 2003. Trust in electronic environments. In: Proceedings of the 36th Annual Hawaii International Conference on System Sciences, Vol. 9, IEEE Computer Society Press, Washington, DC.

Corbitt, 2003, Trust and e-commerce: a study of consumer perceptions, Electron. Commer. Res. Appl., 2, 203, 10.1016/S1567-4223(03)00024-3

Cremonesi, 2011, Comparative evaluation of recommender system quality, 1927

de Ruyter, 2001, Customer adoption of eservice: an experimental study, Int. J. Serv. Ind. Manage., 12, 184, 10.1108/09564230110387542

Dias, 2008, The value of personalised recommender systems to e-business: a case study, 291

Diehl, 2015, Organizing products with complements versus substitutes: effects on store preferences as a function of effort and assortment perceptions, J. Retail., 91, 1, 10.1016/j.jretai.2014.10.003

Ekstrand, 2014, User perception of differences in recommender algorithms, 161

Fleder, 2009, Blockbuster culture’s next rise or fall: the impact of recommender systems on sales diversity, Manage. Sci., 55, 697, 10.1287/mnsc.1080.0974

Fornell, 1982, Two structural equation models: Lisrel and pls applied to consumer exit-voice theory, J. Mark. Res., 19, 440, 10.2307/3151718

Fornell, 1981, Evaluating structural equation models with unobservable variables and measurement error, J. Mark. Res., 18, 39, 10.2307/3151312

Ganguly, 2010, The effects of website design on purchase intention in online shopping: the mediating role of trust and the moderating role of culture, Int. J. Electron. Business, 8, 302, 10.1504/IJEB.2010.035289

Garcin, 2014, Offline and online evaluation of news recommender systems at swissinfo.ch, 169

Ge, 2010, Beyond accuracy: evaluating recommender systems by coverage and serendipity, 257

Gedikli, 2014, How should I explain? A comparison of different explanation types for recommender systems, Int. J. Hum Comput Stud., 72, 367, 10.1016/j.ijhcs.2013.12.007

Gefen, 2000, E-commerce: the role of familiarity and trust, Omega, 28, 725, 10.1016/S0305-0483(00)00021-9

Gefen, 2003, Inexperience and experience with online stores: the importance of TAM and trust, IEEE Trans. Eng. Manage., 50, 307, 10.1109/TEM.2003.817277

Gomez-Uribe, C.A., Hunt, N., 2015. The Netflix recommender system: algorithms, business value, and innovation. ACM Trans. Manage. Inf. Syst. 6 (4), 1–13:19.

Grabner-Kräuter, 2003, Empirical research in on-line trust: a review and critical assessment, Int. J. Hum Comput. Stud., 58, 783, 10.1016/S1071-5819(03)00043-0

Hair, 1998

Hair, 2011, PLS-SEM: indeed a silver bullet, J. Market. Theory Pract., 19, 139, 10.2753/MTP1069-6679190202

Hair, 2013

Hampton-Sosa, 2005, The effect of web site perceptions on initial trust in the owner company, J. Electron. Commerce Res., 10, 55, 10.1080/10864415.2005.11043965

Hasan, 2011, Assessing the quality of web sites, Appl. Comput. Inf., 9, 11

Häubl, 2006, Double agents: assessing the role of electronic product recommendation systems, MIT Sloan Manage. Rev., 47, 8

Häubl, 2000, Consumer decision making in online shopping environments: the effects of interactive decision aids, Market. Sci., 19, 4, 10.1287/mksc.19.1.4.15178

Henseler, J., Ringle, C.M., Sinkovics, R.R., 2009. The use of partial least squares path modeling in international marketing. Ch. 19 in: B. Stottinger, B.B. Schegelmilch, S. Zou (eds.), International Marketing in the Fast Changing World, Advances in International Marketing, 26, Emerald Insight, Bingley, UK, pp. 277–319.

Herlocker, 2000, Explaining collaborative filtering recommendations, 241

Herlocker, 2004, Evaluating collaborative filtering recommender systems, ACM Trans. Inf. Syst., 22, 5, 10.1145/963770.963772

Huang, 2013, From e-commerce to social commerce: a close look at design features, Electron. Commer. Res. Appl., 12, 246, 10.1016/j.elerap.2012.12.003

Jannach, 2009, A case study on the effectiveness of recommendations in the mobile interne, 205

Jannach, 2012, Recommender systems in computer science and information systems: a landscape of research, 76

Jannach, 2015, Item familiarity as a possible confounding factor in user-centric recommender systems evaluation, I-com J. Interact. Media, 14, 29

Jarvenpaa, 1999, Consumer trust in an Internet store: a cross-cultural validation, J. Comput. Mediated Commun., 5, 10.1111/j.1083-6101.1999.tb00337.x

Jiang, 2002, Measuring information system service quality: SERVQUAL from the other side, MIS Q., 26, 145, 10.2307/4132324

Johnson, 1993, Explanation facilities and interactive systems, 159

Jöreskog, 1993

Karimov, 2011, The effect of website design dimensions on initial trust: a synthesis of the empirical literature, J. Electron. Commerce Res., 12, 272

Kijsanayotin, 2009, Factors influencing health information technology adoption in Thailand’s community health centers: applying the UTAUT model, Int. J. Med. Informatics, 78, 404, 10.1016/j.ijmedinf.2008.12.005

Kim, 2008, A trust-based consumer decision-making model in electronic commerce: the role of trust, perceived risk, and their antecedents, Decis. Support Syst., 44, 544, 10.1016/j.dss.2007.07.001

Kim, 2012, Factors influencing internet shopping value and customer repurchase intention, Electron. Commer. Res. Appl., 11, 374, 10.1016/j.elerap.2012.04.002

Knijnenburg, 2012, Explaining the user experience of recommender systems, User Model. User-Adap. Inter., 22, 441, 10.1007/s11257-011-9118-4

Komiak, 2006, The effects of personalization and familiarity on trust and adoption of recommendation agents, MIS Q., 30, 941, 10.2307/25148760

Konstan, 2012, Recommender systems: from algorithms to user experience, User Model. User-Adap. Inter., 22, 101, 10.1007/s11257-011-9112-x

Koufaris, 2002, Customer trust online: examining the role of the experience with the web-site

Ku, 2013, What happens when recommendation system meets reputation system? The impact of recommendation information on purchase intention

Lerche, L., Jannach, D., Ludewig, M., 2016. On the value of reminders within e-commerce recommendations. In: Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, pp. 27–35.

Liang, 2007, Personalized content recommendation and user satisfaction: theoretical synthesis and empirical findings, J. Manage. Inf. Syst., 23, 45, 10.2753/MIS0742-1222230303

Lim, 2006, Do I trust you online, and if so, will I buy? An empirical study of two trust-building strategies, J. Manage. Inf. Syst., 23, 233, 10.2753/MIS0742-1222230210

Linden, 2003, Amazon.com recommendations: item-to-item collaborative filtering, IEEE Internet Comput., 7, 76, 10.1109/MIC.2003.1167344

Mayer, 1995, An integrative model of organizational trust, Acad. Manag. Rev., 20, 709, 10.5465/amr.1995.9508080335

McKnight, 1998, Initial trust formation in new organizational relationships, Acad. Manag. Rev., 23, 473, 10.5465/amr.1998.926622

McKnight, 2002, The impact of initial consumer trust on intentions to transact with a web site: a trust building model, J. Strategic Inf. Syst., 11, 197

McNee, S. M., Riedl, J., Konstan, J. A., 2006. Being accurate is not enough: How accuracy metrics have hurt recommender systems. In: Proceedings of the 2006 Conference on Human Factors in Computing Systems, Montreal, Canada, ACM Press, New York, NY, pp. 1097–1101.

Moody, 2014, When trust and distrust collide online: the engenderment and role of consumer ambivalence in online consumer behavior, Electron. Commer. Res. Appl., 13, 266, 10.1016/j.elerap.2014.05.001

Nunnally, 1978

Olsina, 2002, Measuring web application quality with WebQEM, IEEE Multimedia, 9, 20, 10.1109/MMUL.2002.1041945

Pavlou, 2001, The role of perceived privacy and perceived security in the development of trust in electronic commerce transactions, Inf. Syst. Res., 11, 18

Polatidis, 2014, Factors influencing the quality of the user experience in ubiquitous recommender systems, 369

Pu, P., Chen, L., 2006. Trust building with explanation interfaces. In: Proceedings of the 11th International Conference on Intelligent User Interfaces, pp. 93–100.

Pu, 2007, Trust-inspiring explanation interfaces for recommender systems, Knowl.-Based Syst., 20, 542, 10.1016/j.knosys.2007.04.004

Pu, P., Chen, L., Hu, R., 2011. A user-centric evaluation framework for recommender systems. In: Proceedings of the 2011 ACM Conference on Recommender Systems, ACM Press, New York, NY, pp. 157–164.

Ringle, C. M., Sarstedt, M., Straub, D., 2012. A critical look at the use of PLS-SEM. MIS Q. 36 (1), iii–xiv.

Said, A., Fields, B., Jain, B. J., Albayrak, S., 2013. User-centric evaluation of a k-furthest neighbor collaborative filtering recommender algorithm. In: Proceedings of the 2013 Conference on Computer Supported Cooperative Work, ACM Press, New York, NY, pp. 1399–1408.

Sekaran, 2010

Sinha, R. R., Swearingen, K., 2001. Comparing recommendations made by online systems and friends. In: DELOS-NSF Workshop on Personalisation and Recommender Systems in Digital Libraries, ACM Press, New York, NY.

Sinha, R., Swearingen, K., 2002. The role of transparency in recommender systems. In: CHI ‘02, Extended Abstracts on Human Factors in Computing Systems, ACM Press, New York, NY, pp. 830–831.

Sun, Y., Chong, W.K., Han, Y.S., Rho, S., Lok, K., 2015a. Key factors affecting user experience of mobile recommendation systems. In: G.C. Yang, S.I. Ao, X. Huang, O. Castillo (eds.), Transactions on Engineering Technologies, International MultiConference of Engineers and Computer Scientists, Springer, Heidelberg, Germany.

Sun, Y., Chong, W. K., Man, K.L., Rho, S., Xie, D., 2015b. Exploring critical success factors of mobile recommendation systems: The end user perspective. In: G.C. Yang, S.I. Ao, X. Huang, O. Castillo (eds.), Transactions on Engineering Technologies, International MultiConference of Engineers and Computer Scientists, Springer, Heidelberg, German.

Swearingen, 2002, Interaction design for recommender systems, Design. Interact. Syst., 6, 312

Tintarev, N., Masthoff, J., 2007a. Effective explanations of recommendations: User-centered design. In: Proceedings of the 2007 ACM Conference on Recommender Systems, ACM Press, New York, NY, pp. 153–156.

Tintarev, 2007, A survey of explanations in recommender systems, 801

Urbach, 2010, Structural equation modeling in information systems research using partial least squares, J. Inf. Technol. Theory Appl., 11, 5

Vargas, 2011, Rank and relevance in novelty and diversity metrics for recommender systems, 109

Wang, 2005, Trust in and adoption of online recommendation agents, J. Assoc. Inf. Syst., 6, 72

Wang, 2008, Attributions of trust in decision support technologies: a study of recommendation agents for e-commerce, J. Manage. Inf. Syst., 24, 249, 10.2753/MIS0742-1222240410

Wang, 1999, Service quality of Internet search engines, J. Inf. Sci., 25, 499, 10.1177/016555159902500606

Wang, 2016, Effects of rational and social appeals of online recommendation agents on cognition- and affect-based trust, Decis. Support Syst., 86, 48, 10.1016/j.dss.2016.03.007

Westland, 2010, Lower bounds on sample size in structural equation modeling, Electron. Commer. Res. Appl., 9, 476, 10.1016/j.elerap.2010.07.003

Wilcox, 2008, Questions about formative measurement, J. Business Res., 61, 1219, 10.1016/j.jbusres.2008.01.010

Xiao, 2007, E-commerce product recommendation agents: use, characteristics, and impact, MIS Q., 31, 137, 10.2307/25148784

Yan, 2007, Trust modeling and management: from social trust to digital trust, 290

Yoon, 2013, Assessing the moderating effect of consumer product knowledge and online shopping: experience on using recommendation agents for customer loyalty, Decis. Support Syst., 55, 883, 10.1016/j.dss.2012.12.024

Zanker, M., 2012. The influence of knowledgeable explanations on users’ perception of a recommender system. In: Proceedings of the Sixth ACM Conference on Recommender Systems, ACM Press, New York, NY, pp. 269–272.

Zanker, 2006, Persuasive online-selling in quality & taste domains, 51

Ziegler, C.N., McNee, S.M., Konstan, J.A., Lausen, G., 2005. Improving recommendation lists through topic diversification. In: Proceedings of the 14th International Conference on World Wide Web, Chiba, Japan, ACM Press, New York, NY, pp. 22–32.

Zimmerman, 2002, Exposing profiles to build trust in a recommender, 608