Downloads

[1] E. Schaffer, “Beyond usability designing for persuasion, emotion, and trust (PET designTM),” Hum. Factors, 2008. [2] L. Abdullah, R. Ramli, H. O. Bakodah, and M. Othman, “Developing a causal relationship among factors of e-commerce: A decision making approach,” J. King Saud Univ. Inf. Sci., 2019. [3] T. M. Nisar and G. Prabhakar, “What factors determine e-satisfaction and consumer spending in e-commerce retailing?,” J. Retail. Consum. Serv., vol. 39, pp. 135–144, 2017. [4] M. Kaptein and P. Parvinen, “Advancing e-commerce personalization: Process framework and case study,” Int. J. Electron. Commer., vol. 19, no. 3, pp. 7–33, 2015. [5] I. Wiafe and K. Nakata, “Bibliographic analysis of persuasive systems: techniques, methods and domains of application,” pp. 2–5, 2012, [Online]. Available: http://www.ep.liu.se/ecp_article/index.en.aspx?issue=068;article=016. [6] I. Wiafe, F. N. Koranteng, E. Owusu, A. O. Ekpezu, and S. A. Gyamfi, “Persuasive social features that promote knowledge sharing among tertiary students on social networking sites : An empirical study,” J. Comput. Assist. Learn., vol. 0, no. 0, pp. 1–10, 2020, doi: 10.1111/jcal.12433. [7] P. Zhang and G. M. Von Dran, “User expectations and rankings of quality factors in different Web site domains,” Int. J. Electron. Commer., vol. 6, no. 2, pp. 9–33, 2001, doi: 10.1080/10864415.2001.11044237. [8] M. Kaptein and S. Duplinsky, “Combining multiple influence strategies to increase consumer compliance,” Int. J. Internet Mark. Advert., vol. 8, no. 1, pp. 32–53, 2013. [9] W. Winn and K. Beck, “The persuasive power of design elements on an e-commerce web site,” Tech. Commun., vol. 49, no. 1, pp. 17–35, 2002. [10] B. Fogg, “Persuasive computers: perspectives and research directions,” in SIGCHI conference on Human factors in computing, 1998, vol. 98, no. April, pp. 225–232, doi: 10.1145/274644.274677. [11] K. Torning, C. Hall, and H. Oinas-kukkonen, “Persuasive System Design : State of the Art and Future Directions,” 2009. [12] H. L. Chu, Y. S. Deng, and M. C. Chuang, “Persuasive web design in e-commerce,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 8527 LNCS, pp. 482–491, 2014, doi: 10.1007/978-3-319-07293-7_47. [13] M. M. Alhammad and S. R. Gulliver, “Online persuasion for e-commerce websites,” in Proceedings of the 28th International BCS Human Computer Interaction Conference (HCI 2014) 28, 2014, pp. 264–269. [14] H. Oinas-Kukkonen and M. Harjumaa, “Persuasive systems design: Key issues, process model, and system features,” Commun. Assoc. Inf. Syst., vol. 24, no. 1, p. 28, 2009. [15] N. Kano, N. Seraku, N. Takahashi, and S. Tsuji, “Attractive quality and must-be quality,” J. Japanese Soc. Qual. Control, vol. 14, no. 2, pp. 39–48, 1984. [16] F. Buttle, “Customer relationship management: Concepts and technology,” Sydney a Butterworth-Heinemann, vol. 1, 2009. [17] X.-X. Shen, K. C. Tan, and M. Xie, “An integrated approach to innovative product development using Kano’s model and QFD,” Eur. J. Innov. Manag., vol. 3, no. 2, pp. 91–99, 2000. [18] M. Zhao and R. R. Dholakia, “A multi‐attribute model of web site interactivity and customer satisfaction,” Manag. Serv. Qual. An Int. J., 2009. [19] T. Van Der Wiele, P. Boselie, and M. Hesselink, “Empirical evidence for the relationship between customer satisfaction and business performance,” Manag. Serv. Qual. An Int. J., 2002. [20] D. K. Tse, F. M. Nicosia, and P. C. Wilton, “Consumer satisfaction as a process,” Psychol. Mark., vol. 7, no. 3, pp. 177–193, 1990. [21] F. Herzberg, B. Mausner, and B. Anyderman, Motivation to Work. New York: Wiley, 1959. [22] F. I. Herzberg, “Work and the Nature of Man.,” 1966. [23] P. Zhang and G. von Dran, “Expectations and rankings of Web site quality features: Results of two studies on user perceptions,” in Proceedings of the 34th annual Hawaii international conference on system sciences, 2001, pp. 10-pp. [24] H. Vaez Shahrestani, A. Shahin, H. Teimouri, and A. Shaemi Barzoki, “Revising the Kano model for designing an employee compensation system: Developing one-dimensional attributes,” TQM J., vol. 32, no. 1, pp. 78–91, 2019, doi: 10.1108/TQM-05-2019-0153. [25] A. Shahin, M. Pourhamidi, J. Antony, and S. H. Park, “Typology of Kano models: A critical review of literature and proposition of a revised model,” Int. J. Qual. Reliab. Manag., vol. 30, no. 3, pp. 341–358, 2013, doi: 10.1108/02656711311299863. [26] I. Wiafe, K. Nakata, S. Moran, and S. S. R. Gulliver, “Considering user attitude and behaviour in persuasive systems design: the 3D-RAB model,” 19th Eur. Conf. Inf. Syst. ECIS 2011, 2011, [Online]. Available: http://aisel.aisnet.org/ecis2011/186. [27] I. Wiafe, K. Nakata, and S. Gulliver, “Categorizing users in behavior change support systems based on cognitive dissonance,” Pers. Ubiquitous Comput., vol. 18, no. 7, pp. 1677–1687, Jun. 2014, doi: 10.1007/s00779-014-0782-3. [28] J. Dabi, I. Wiafe, A. Stibe, and J.-D. J.-D. Abdulai, “Can an Enterprise System Persuade? The Role of Perceived Effectiveness and Social Influence,” in International Conference on Persuasive Technology, 2018, 10809th ed., vol. 10809 LNCS, pp. 45–55, doi: 10.1007/978-3-319-78978-1_4. [29] T. Lehto, H. Oinas-Kukkonen, and F. Drozd, “Factors Affecting Perceived Persuasiveness of a Behavior Change Support System,” Proc. Int. Conf. Inf. Syst., no. February 2016, pp. 1–15, 2012. [30] I. Wiafe, F. N. Koranteng, F. A. Kastriku, and G. O. Gyamera, “Assessing the impact of persuasive features on user’s intention to continuous use: the case of academic social networking sites,” Behav. Inf. Technol., 2020, doi: 10.1080/0144929X.2020.1832146. [31] T. Saari, N. Ravaja, J. Laarni, M. Turpeinen, and K. Kallinen, “Psychologically targeted persuasive advertising and product information in e-commerce,” ACM Int. Conf. Proceeding Ser., vol. 60, pp. 245–254, 2004, doi: 10.1145/1052220.1052252. [32] I. O. Pappas, P. E. Kourouthanassis, M. N. Giannakos, and V. Chrissikopoulos, “Sense and sensibility in personalized e-commerce: How emotions rebalance the purchase intentions of persuaded customers,” Psychol. Mark., vol. 34, no. 10, pp. 972–986, 2017, doi: 10.1002/mar.21036. [33] H. Celik and R. Kocaman, “Roles of self-monitoring, fashion involvement and technology readiness in an individual’s propensity to use mobile shopping,” J. Syst. Inf. Technol., vol. 19, no. 3–4, pp. 166–182, 2017, doi: 10.1108/JSIT-01-2017-0008. [34] C. S. Lin, “Exploring the personality trait of self-monitoring on technology usage of web portals,” Cyberpsychology Behav., vol. 11, no. 2, pp. 235–238, 2008, doi: 10.1089/cpb.2007.0021. [35] I. Adaji and J. Vassileva, “Tailoring persuasive strategies in E-commerce,” CEUR Workshop Proc., vol. 1833, pp. 57–63, 2017. [36] I. Adaji, K. Oyibo, and J. Vassileva, “The effect of gender and age on the factors that influence healthy shopping habits in e-commerce,” UMAP 2018 - Proc. 26th Conf. User Model. Adapt. Pers., pp. 251–255, 2018, doi: 10.1145/3209219.3209253. [37] M. Kaptein, “Adaptive persuasive messages in an e-commerce setting: The use of persuasion profiles,” 19th Eur. Conf. Inf. Syst. ECIS 2011, 2011. [38] J. Salamon et al., “Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification,” IEEE Signal Process. Lett., vol. 24, no. 3, pp. 279–283, Jan. 2017, doi: 10.1109/LSP.2017.2657381.