Abascal, J., Barbosa, S. D. J., Nicolle, C., & Zaphiris, P. (2016). Rethinking universal accessibility: A broader approach considering the digital gap. Universal Access in the Information Society, 15, 179–182. https://doi.org/10.1007/s10209-015-0416-1
Agarwal, R., & Prasad, J. (1998). A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology. Information Systems Research, 9(2), 204–215. https://doi.org/10.1287/isre.9.2.204
Aggelidis, V. P., & Chatzoglou, P. D. (2009). Using a modified technology acceptance model in hospitals. International Journal of Medical Informatics, 78(2), 115–126. https://doi.org/10.1016/j.ijmedinf.2008.06.006
Allcott, H., & Gentzkow, M. (2017). Social media and fake news in the 2016 election. The Journal of Economic Perspec-tives, 31(2), 211–236. https://doi.org/10.1257/jep.31.2.211
Almada-Lobo, F. (2015). The Industry 4.0 revolution and the future of Manufacturing Execution Systems (MES). Journal of Innovation Management, 3(4), 16–21. https://doi.org/10.24840/2183-0606_003.004_0003
Al-maghrabi, T., Dennis, C., & Vaux Halliday, S. (2011). Antecedents of continuance intentions towards e-shopping: The case of Saudi Arabia. Journal of Enterprise Information Management, 24(1), 85–111. https://doi.org/10.1108/17410391111097447
Alwahaishi, S., & Snásel, V. (2013). Consumers’ Acceptance and Use of Information and Communications Technology: A UTAUT and Flow Based Theoretical Model. Journal of Technology Management & Innovation, 8(2), 61–73. https://doi.org/10.4067/S0718-27242013000200005
Belk, R. W. (2013). Extended self in a digital world. The Journal of Consumer Research, 40(3), 477–500. https://doi.org/10.1086/671052
Ben Youssef, A., Ben Youssef, H., & Dahmani, M. (2013). Higher Education Teachers e-skills and the Innovation Pro-cess. International Journal of Computer and Information Technology, 2(2), 185–195.
Ben Youssef, A., Dahmani, M., & Omrani, N. (2015). Information technologies, students’ e-skills and diversity of learn-ing process. Education and Information Technologies, 20(1), 141–159. https://doi.org/10.1007/s10639-013-9272-x
Bhattacherjee, A., & Hikmet, N. (2008). Reconceptualizing organizational support and its effect on information technolo-gy usage: Evidence from the health care sector. Journal of Computer Information Systems, 48(4), 69–76.
Braun, P., & Hollick, M. (2006). Tourism skills delivery: Sharing tourism knowledge online. Education + Train-ing, 48(8/9), 693–703. https://doi.org/10.1108/00400910610710100
Buhalis, D., & Foerste, M. (2015). SoCoMo marketing for travel and tourism: Empowering co-creation of value. Journal of Destination Marketing & Management, 4(3), 151–161. https://doi.org/10.1016/j.jdmm.2015.04.001
Buhalis, D., Harwood, T., Bogicevic, V., Viglia, G., Beldona, S. & Hofacker, C. (2019). Technological disruptions in ser-vices: lessons from tourism and hospitality. Journal of Service Management, 30(4), 484–506. https://doi.org/10.1108/JOSM-12-2018-0398
Bunz, U., Curry, C., & Voon, W. (2007). Perceived versus actual computer-email-web fluency. Computers in Human Be-havior, 23(5), 2321–2344. https://doi.org/10.1016/j.chb.2006.03.008
Burke, R. R. (2002). Technology and the customer interface: What consumers want in the physical and virtual store. Journal of the Academy of Marketing Science, 30(4), 411–432. https://doi.org/10.1177/009207002236914
Chen, K., & Chan, A. H. (2011). A review of technology acceptance by older adults. Gerontechnology (Valkenswaard), 10(1), 1–12. https://doi.org/10.4017/gt.2011.10.01.006.00
Chen, M. F., & Lin, N. P. (2018). Incorporation of health consciousness into the technology readiness and acceptance model to predict app download and usage intentions. Internet Research, 28(2), 351–373. https://doi.org/10.1108/IntR-03-2017-0099
Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77(4), 511–535. https://doi.org/10.1016/S0022-4359(01)00056-2
Claro, M., Preiss, D. D., San Martín, E., Jara, I., Hinostroza, J. E., Valenzuela, S., Cortes, F., & Nussbaum, M. (2012). As-sessment of 21st century ICT skills in Chile: Test design and results from high school level students. Computers & Ed-ucation, 59(3), 1042–1053. https://doi.org/10.1016/j.compedu.2012.04.004
Cochoy, F., Hagberg, J., Petersson McIntyre, M., & Sorum, N. (Eds.). (2017). Digitalizing Consumptions. How devices shape consumer culture. Routledge. https://doi.org/10.4324/9781315647883
de Boer, P. S., van Deursen, A. J. A. M., & van Rompay, T. J. L. (2019). Accepting the Internet-of-Things in our homes: The role of user skills. Telematics and Informatics, 36, 147–156. https://doi.org/10.1016/j.tele.2018.12.004
Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year up-date. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task-technology fit con-structs. Information & Management, 36(1), 9–21. https://doi.org/10.1016/S0378-7206(98)00101-3
Du, J. T., & Evans, N. (2011). Academic users’ information searching on research topics: Characteristics of research tasks and search strategies. Journal of Academic Librarianship, 37(4), 299–306. https://doi.org/10.1016/j.acalib.2011.04.003
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Read-ing, MA: Addison-Wesley.
Gao, Y., Li, H., & Luo, Y. (2015). An empirical study of wearable technology acceptance in healthcare. Industrial Man-agement & Data Systems, 115(9), 1704–1723. https://doi.org/10.1108/IMDS-03-2015-0087
Godoe, P., & Johansen, T. S. (2012). Understanding adoption of new technologies: Technology readiness and technology acceptance as an integrated concept. Journal of European Psychology Students, 3(1), 38–52. https://doi.org/10.5334/jeps.aq
Goldsmith, R. E., & Flynn, L. R. (2005). Bricks, clicks, and pix: Apparel buyers’ use of stores, internet, and catalogs com-pared. International Journal of Retail & Distribution Management, 33(4), 271–283. https://doi.org/10.1108/09590550510593202
Gui, M., & Argentin, G. (2011). Digital skills of internet natives: Different forms of digital literacy in a random sample of northern Italian high school students. New Media & Society, 13(6), 963–980. https://doi.org/10.1177/1461444810389751
Hargittai, E., & Hsieh, Y. P. (2012). Succinct Survey Measures of Web-Use Skills. Social Science Computer Re-view, 30(1), 95–107. https://doi.org/10.1177/0894439310397146
Hargittai, E., Piper, A. M., & Morris, M. R. (2019). From internet access to internet skills: Digital inequality among older adults. Universal Access in the Information Society, 18, 881–890. https://doi.org/10.1007/s10209-018-0617-5
Hew, J. J., Lee, V. H., Ooi, K. B., & Wei, J. (2015). What catalyses mobile apps usage intention: An empirical analy-sis. Industrial Management & Data Systems, 115(7), 1269–1291. https://doi.org/10.1108/IMDS-01-2015-0028
Hsu, C. L., & Lu, H. P. (2004). Why do people play on-line games? An extended TAM with social influences and flow ex-perience. Information & Management, 41(7), 853–868. https://doi.org/10.1016/j.im.2003.08.014
Hwang, Y. (2011). Is communication competence still good for interpersonal media? Mobile phone and instant messen-ger. Computers in Human Behavior, 27(2), 924–934. https://doi.org/10.1016/j.chb.2010.11.018
Jackson, C. M., Chow, S., & Leitch, R. A. (1997). Toward an Understanding of the Behavioral Intention to Use an Infor-mation System. Decision Sciences, 28(2), 357–389. https://doi.org/10.1111/j.1540-5915.1997.tb01315.x
Jara, I., Claro, M., Hinostroza, J. E., San Martín, E., Rodríguez, P., Cabello, T., Ibieta, A., & Labbé, C. (2015). Understand-ing factors related to Chilean students’ digital skills: A mixed methods analysis. Computers & Education, 88, 387–398. https://doi.org/10.1016/j.compedu.2015.07.016
Jara, M., Vyt, D., Mevel, O., Morvan, T., & Morvan, N. (2018). Measuring customers’ benefits of click and col-lect. Journal of Services Marketing, 32(4), 430–442. https://doi.org/10.1108/JSM-05-2017-0158
Kabadayi, S., Ali, F., Choi, H., Joosten, H., & Lu, C. (2019). Smart service experience in hospitality and tourism services: A conceptualization and future research agenda. Journal of Service Management, 30(3), 326–348. https://doi.org/10.1108/JOSM-11-2018-0377
Kang, S. (2014). Factors influencing intention of mobile application use. International Journal of Mobile Communica-tions, 12(4), 360–379. https://doi.org/10.1504/IJMC.2014.063653
Katz, I. R. (2007). Testing Information Literacy in Digital Environments: ETS’s iSkills Assessment. Information Technol-ogy and Libraries, 26(3), 3–12. https://doi.org/10.6017/ital.v26i3.3271
Khalilzadeh, J., Ozturk, A. B., & Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, 70, 460–474. https://doi.org/10.1016/j.chb.2017.01.001
Khan, G. F., Moon, J., Rhee, C., & Rho, J. J. (2010). E-government Skills Identification and Development: Toward a Staged-Based User-Centric Approach for Developing Countries. Asia pacific journal of information systems, 20(1), 1-31.
Kim, D., Chun, H., & Lee, H. (2014). Determining the factors that influence college students’ adoption of smartphones. Journal of the Association for Information Science and Technology, 65(3), 578–588. https://doi.org/10.1002/asi.22987
Kleijnen, M., de Ruyter, K., & Wetzels, M. (2007). An assessment of value creation in mobile service delivery and the moderating role of time consciousness. Journal of Retailing, 83(1), 33–46. https://doi.org/10.1016/j.jretai.2006.10.004
Krueger, B. S. (2006). A comparison of conventional and internet political mobilization. American Politics Re-search, 34(6), 759–776. https://doi.org/10.1177/1532673X06290911
Leban, M., Seo, Y., & Voyer, B. G. (2020). Transformational effects of social media lurking practices on luxury consump-tion. Journal of Business Research, 116, 514–521. https://doi.org/10.1016/j.jbusres.2019.09.010
Lee, J., Kao, H. A., & Yang, S. (2014). Service innovation and smart analytics for Industry 4.0 and big data environ-ment. Procedia CIRP, 16, 3–8. https://doi.org/10.1016/j.procir.2014.02.001
Leong, L. Y., Hew, T. S., Tan, G. W. H., & Ooi, K. B. (2013). Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach. Expert Systems with Applications, 40(14), 5604–5620. https://doi.org/10.1016/j.eswa.2013.04.018
Li, H., Kuo, C., & Rusell, M. G. (1999). The impact of perceived channel utilities, shopping orientations, and de-mographics on the consumer’s online buying behavior. Journal of Computer-Mediated Communication, 5(2), 0–0. https://doi.org/10.1111/j.1083-6101.1999.tb00336.x
Li, H., Wu, J., Gao, Y., & Shi, Y. (2016). Examining individuals’ adoption of healthcare wearable devices: An empirical study from privacy calculus perspective. International Journal of Medical Informatics, 88, 8–17. https://doi.org/10.1016/j.ijmedinf.2015.12.010
Lim, H., & Dubinsky, A. J. (2004). Consumers’ perceptions of e-shopping characteristics: An expectancy-value ap-proach. Journal of Services Marketing, 18(7), 500–513. https://doi.org/10.1108/08876040410561839
Litt, E. (2013). Measuring users’ internet skills: A review of past assessments and a look toward the future. New Media & Society, 15(4), 612–630. https://doi.org/10.1177/1461444813475424
Liu, F., Zhao, X., Chau, P. Y. K., & Tang, Q. (2015). Roles of perceived value and individual differences in the acceptance of mobile coupon applications. Internet Research, 25(3), 471–495. https://doi.org/10.1108/IntR-02-2014-0053
Lu, H., & Yu‐Jen Su, P. (2009). Factors affecting purchase intention on mobile shopping web sites. Internet Re-search, 19(4), 442–458. https://doi.org/10.1108/10662240910981399
Makate, C., Wang, R., Makate, M., & Mango, N. (2016). Crop diversification and livelihoods of smallholder farmers in Zimbabwe: Adaptive management for environmental change. SpringerPlus, 5, 1135. https://doi.org/10.1186/s40064-016-2802-4
Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding the internet banking adoption: A unified theory of ac-ceptance and use of technology and perceived risk application. International Journal of Information Manage-ment, 34(1), 1–13. https://doi.org/10.1016/j.ijinfomgt.2013.06.002
Meehan, K., Lunney, T., Curran, K., & McCaughey, A. (2016). Aggregating social media data with temporal and environ-mental context for recommendation in a mobile tour guide system. Journal of Hospitality and Tourism Technolo-gy, 7(3), 281–299. https://doi.org/10.1108/JHTT-10-2014-0064
Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self-service technologies: Understanding customer satisfaction with technology-based service encounters. Journal of Marketing, 64(3), 50–64. https://doi.org/10.1509/jmkg.64.3.50.18024
Mossberger, K., Tolbert, C. J., & Stansbury, M. (2003). Virtual Inequality: Beyond the Digital Divide. Georgetown Uni-versity Press.
Yi, M. Y., Jackson, J. D., Park, J. S., & Probst, J. C. (2006). Understanding information technology acceptance by individ-ual professionals: Toward an integrative view. Information & Management, 43(3), 350–363. https://doi.org/10.1016/j.im.2005.08.006
Ozturk, A. B., Bilgihan, A., Nusair, K., & Okumus, F. (2016). What keeps the mobile hotel booking users loyal? Investi-gating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience. International Jour-nal of Information Management, 36(6), 1350–1359. https://doi.org/10.1016/j.ijinfomgt.2016.04.005
Perea y Monsuwé, T., Dellaert, B. G. C., & de Ruyter, K. (2004). What drives consumers to shop online? A literature re-view. International Journal of Service Industry Management, 15(1), 102–121. https://doi.org/10.1108/09564230410523358
Pierdicca, R., Paolanti, M., & Frontoni, E. (2019). eTourism: ICT and its role for tourism management. Journal of Hospi-tality and Tourism Technology, 10(1), 90–106. https://doi.org/10.1108/JHTT-07-2017-0043
Potosky, D. (2007). The Internet knowledge (iKnow) measure. Computers in Human Behavior, 23(6), 2760–2777. https://doi.org/10.1016/j.chb.2006.05.003
Prasad, C. J. S., & Aryasri, A. R. (2009). Determinants of Shopper Behaviour in E-tailing: An Empirical Analy-sis. Paradigm, 13(1), 73–83. https://doi.org/10.1177/0971890720090110
Rana, N. P., Dwivedi, Y. K., & Williams, M. D. (2015). A meta-analysis of existing research on citizen adoption of e-government. Information Systems Frontiers, 17(3), 547–563. https://doi.org/10.1007/s10796-013-9431-z
Ratchford, B. T., Talukdar, D., & Lee, M. S. (2001). A model of consumer choice of the internet as an information source. International Journal of Electronic Commerce, 5(3), 7–21. https://doi.org/10.1080/10864415.2001.11044217
Roodman, D. (2011). Fitting Fully Observed Recursive Mixed-Process Models with CMP. The Stata Journal, 11(2), 159–206. https://doi.org/10.1177/1536867X1101100202
Ryan, T., & Xenos, S. (2011). Who uses Facebook? An investigation into the relationship between the Big Five, shyness, narcissism, loneliness, and Facebook usage. Computers in Human Behavior, 27(5), 1658–1664. https://doi.org/10.1016/j.chb.2011.02.004
San Martín, H., & Herrero, Á. (2012). Influence of the user’s psychological factors on the online purchase intention in ru-ral tourism: Integrating innovativeness to the UTAUT framework. Tourism Management, 33(2), 341–350. https://doi.org/10.1016/j.tourman.2011.04.003
Shamim, S., Cang, S., Yu, H., & Li, Y. (2016). Management approaches for Industry 4.0: A human resource management perspective. In 2016 IEEE Congress on Evolutionary Computation (CEC). 5309–5316. https://doi.org/10.1109/CEC.2016.7748365
Shareef, M. A., Dwivedi, Y. K., Kumar, V., & Kumar, U. (2017). Content design of advertisement for consumer exposure: Mobile marketing through short messaging service. International Journal of Information Management, 37(4), 257–268. https://doi.org/10.1016/j.ijinfomgt.2017.02.003
Siddiq, F., Gochyyev, P., & Wilson, M. (2017). Learning in digital networks: ICT literacy: A novel assessment of stu-dents’ 21st century skills. Computers & Education, 109, 11–37. https://doi.org/10.1016/j.compedu.2017.01.014
Sorce, P., Perotti, V., & Widrick, S. (2005). Attitude and age differences in online buying. International Journal of Retail & Distribution Management, 33(2), 122–132. https://doi.org/10.1108/09590550510581458
Steele, R., Lo, A., Secombe, C., & Wong, Y. K. (2009). Elderly persons’ perception and acceptance of using wireless sen-sor networks to assist healthcare. International Journal of Medical Informatics, 78(12), 788–801. https://doi.org/10.1016/j.ijmedinf.2009.08.001
Surian, A., & Sciandra, A. (2019). Digital divide: Addressing Internet skills. Educational implications in the validation of a scale. Research in Learning Technology, 27. https://doi.org/10.25304/rlt.v27.2155
Sweeney, J. C., & Soutar, G. N. (2001). Consumer Perceived Value: The Development of a Multiple Item Scale. Journal of Retailing, 77(2), 203–220. https://doi.org/10.1016/S0022-4359(01)00041-0
Tarhini, A., El-Masri, M., Ali, M., & Serrano, A. (2016). Extending the UTAUT model to understand the customers’ ac-ceptance and use of internet banking in Lebanon. Information Technology & People, 29(4), 830–849. https://doi.org/10.1108/ITP-02-2014-0034
Woodward, G. C. (2017). Reclaiming Conversation: The Power of Talk in the Digital Age by Sherry Turkle. Mass Com-munication and Society, 20(1), 146–148. https://doi.org/10.1080/15205436.2016.1234165
Turner, M., Kitchenham, B., Brereton, P., Charters, S., & Budgen, D. (2010). Does the Technology acceptance model pre-dict actual use? A systematic literature review. Information and Software Technology, 52(5), 463–479. https://doi.org/10.1016/j.infsof.2009.11.005
van Deursen, A. J. A. M., & van Diepen, S. (2013). Information and strategic Internet skills of secondary students: A per-formance test. Computers & Education, 63, 218–226. https://doi.org/10.1016/j.compedu.2012.12.007
van Deursen, A. J. A. M., & van Dijk, J. A. G. M. (2009). Using the Internet: Skill related problems in users’ online behav-ior. Interacting with Computers, 21(5-6), 393–402. https://doi.org/10.1016/j.intcom.2009.06.005
van Deursen, A. J. A. M., & van Dijk, J. A. G. M. (2010). Measuring internet skills. International Journal of Human-Computer Interaction, 6(10), 891–916. https://doi.org/10.1080/10447318.2010.496338
van Deursen, A. J. A. M., & van Dijk, J. A. G. M. (2015). Internet skill levels increase, but gaps widen: A longitudinal cross-sectional analysis (2010-2013) among the Dutch population. Information Communication and Society, 18(7), 782–797. https://doi.org/10.1080/1369118X.2014.994544
van Deursen, A. J. A. M., Helsper, E. J., & Eynon, R. (2014). Measuring Digital Skills. From Digital Skills to Tangible Outcomes project report. Available at: http://www.oii.ox.ac.uk/research/projects/?id=112
van Deursen, A. J. A. M., Helsper, E. J., & Eynon, R. (2016). Development and validation of the Internet Skills Scale (ISS). Information Communication and Society, 19(6), 804–823. https://doi.org/10.1080/1369118X.2015.1078834
van Deursen, A., & van Dijk, J. (2016). Modeling traditional literacy, Internet skills and Internet usage: An empirical study. Interacting with Computers, 28(1), 13–26. https://doi.org/10.1093/iwc/iwu027
van Deursen, A., & van Dijk, J. (2014). The digital divide shifts to differences in usage. New Media & Society, 16(3), 507–526. https://doi.org/10.1177/1461444813487959
van Dijk, J. A. G. M. (2005). The deepening divide: Inequality in the information society. SAGE Publications, Inc., https://www.doi.org/10.4135/9781452229812
van Laar, E., van Deursen, A. J. A. M., van Dijk, J. A. G. M., & de Haan, J. (2020). Determinants of 21st-Century Skills and 21st-Century Digital Skills for Workers: A Systematic Literature Review. SAGE Open. https://doi.org/10.1177/2158244019900176
Venkatesh, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, 11(4), 342–365. https://doi.org/10.1287/isre.11.4.342.11872
Venkatesh, V., & Morris, M. G. (2000). Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. Management Information Systems Quarterly, 24(1), 115–139. https://doi.org/10.2307/3250981
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a unified view. Management Information Systems Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Wang, C. L., Ye, L. R., Zhang, Y., & Nguyen, D.-D. (2005). Subscription to fee-based online services: What makes con-sumer pay for online content? Journal of Electronic Commerce Research, 6(4), 301–311.
Wang, D., & Fesenmaier, D. R. (2013). Transforming the Travel Experience: The Use of Smartphones for Travel. In: Can-toni L., Xiang Z. (eds) Information and Communication Technologies in Tourism 2013. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36309-2_6
Wang, D., Xiang, Z., & Fesenmaier, D. R. (2014). Adapting to the mobile world: A model of smartphone use. Annals of Tourism Research, 48, 11–26. https://doi.org/10.1016/j.annals.2014.04.008
Wood, S. L. (2002). Future fantasies: A social change perspective of retailing in the 21st century. Journal of Retail-ing, 78(1), 77–83. https://doi.org/10.1016/S0022-4359(01)00069-0
Xu, H., Teo, H.-H., Tan, B. C. Y., & Agarwal, R. (2009). The Role of Push-Pull Technology in Privacy Calculus: The Case of Location-Based Services. Journal of Management Information Systems, 26(3), 135–174. https://doi.org/10.2753/MIS0742-1222260305
Yang, K. (2010). Determinants of US consumer mobile shopping services adoption: Implications for designing mobile shopping services. Journal of Consumer Marketing, 27(3), 262–270. https://doi.org/10.1108/07363761011038338
Yang, S., & Wang, K. (2009). The influence of information sensitivity compensation on privacy concern and behavioral intention. ACM SIGMIS Database, 40(1), 38–51. https://doi.org/10.1145/1496930.1496937
Yu, A. Y., Tian, S. W., Vogel, D., & Chi-Wai Kwok, R. (2010). Can learning be virtually boosted? An investigation of online social networking impacts. Computers & Education, 55(4), 1494–1503. https://doi.org/10.1016/j.compedu.2010.06.015