|
Aaker, D. A., & Bruzzone, D. E. (1985). Causes of Irritation in Advertising. The Journal of Marketing, 49(2), 47-57. Abernethy, A. M. (1991). Television exposure: Programs vs. advertising. Current Issues and Research in Advertising, 13(1-2), 61–78. Agarwal, R., & Karahanna, E. (2000). Time Flies When You're Having Fun: Cognitive Absorption and Beliefs about Information Technology Usage. MIS Quarterly, 24(4), 665-694. Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information System Research, 9(2), 204-215. Agarwal, R., Sambamurthy, V., & R., S. (1997). Cognitive Absorption and the Adoption of New Information Technologies. Paper presented at the Academy of Management Annual Meeting, Boston, USA. Agarwal, R., Sambamurthy, V., & Stair, R. M. (2000). Research report: The evolving relationship between general and specific computer self-efficacy—an empirical assessment. Information Systems Research, 11(4), 418-430. Anderson, D., & Burns, J. (1991). Paying attention to television J. Bryant & D. Zillmann (Eds.), Responding to the screen Anderson, D. R. (1984). Young children's television viewing: The problems of cognitive continuity. Applied Developmental Psychology, 1, 115-163. Anderson, D. R. (1985). On line cognitive processing of television. NJ: Erlbaum: Hillsdale. Bacon, W. F., & Egeth, H. E. (1994). Overriding Stimulus-Driven Attentional Capture. Perception & Psychophysics, 55(5), 485-496. Bacon, W. F., & Egeth, H. E. (1997). Goal-directed guidance of attention: evidence from conjunctive visual search. Journal of Experimental Psychology: Human Perception and Performance, 23(4), 948-961. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration. Technology studies, 2(2), 285-309. Bauer, R. A., Greyser, S. A., Kanter, D. L., & Weilbacher, W. M. (1968). Advertising in America: The Consumer View. Bosten, MA.: Division of Research, Graduate School of Business Administration, Harvard University. Becker, J. M., Klein, K., & Wetzels, M. (2012). Hierarchical latent variable models in PLS-SEM: guidelines for using reflective-formative type models. Long Range Planning, 45(5), 359-394. Blanco, C. F., Blasco, M. G., & Azorín, I. I. (2010). Entertainment and informativeness as precursory factors of successful mobile advertising messages. Communications of the IBIMA, 1-11. Burns, J. J., & Anderson, D. R. (1993). Attentional inertia and recognition memory in adult television viewing. Communication Research, 20(6), 777-799. Chin, W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336. Cho, C., & Cheon, H. J. (2004). Why do people avoid advertising on the internet? Journal of Advertising, 33(4), 89-97. Cho, C. H. (2003). Factors influencing clicking of banner ads on the WWW. CyberPsychology & Behavior, 6(2), 201-215. Choi, H. P., & Anderson, D. R. (1991). A temporal analysis of free toy play and distractibility in young children. Journal of Experimental Child Psychology, 52(1), 41-69. Choi, S. M., & Rifon, N. J. (2002). Antecedents and consequences of web advertising credibility: A study of consumer response to banner ads. Journal of Interactive Advertising, 3(1), 12-24. Clancey, M. (1994). The television audience examined. Journal of Advertising Research, 34(4), 77-87. Compeau, D., Higgins, C. A., & Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: A longitudinal study. MIS Quarterly, 23(2), 145-158. comScore. (2014). comScore Releases April 2014 U.S. Online Video Rankings. Retrieved from https://www.comscore.com/Insights/Market-Rankings/comScore-Releases-April-2014-U.S.-Online-Video-Rankings Cronbach, L. J. (1970). Essentials of Psychological Testing. New York, USA: Harper and Row. Cronin, J. J., & Menelly, N. E. (1992). Discrimination vs. avoidance:“Zipping” of television commercials. Journal of Advertising, 21(2), 1-7. Csikszentmihaiyi, M. (1990). Flow: The Psychology of Optimal Experience Csikszentmihalyi, M., Larson, R., & Prescott, S. (1977). The ecology of adolescent activity and experience. Journal of youth and adolescence, 6(3), 281-294. Cszikszentmihaly, M. (1975). Beyond Boredom and Anxiety: Experiencing Flow in Work and Play. San Francisco, CA: Jossey Bass. Davenport, T. H., & Beck, J. C. (2001). The attention economy: Understanding the new currency of business. Boston, MA: Harvard Business Press. DeBacker, T. K., & Crowson, H. M. (2006). Influences on cognitive engagement: Epistemological beliefs and need for closure. British Journal of Educational Psychology, 76(3), 535-551. Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Democracy, S. o. M. (2013). Digital Democracy Survey. Retrieved from http://www2.deloitte.com/global/en/pages/technology-media-and-telecommunications/articles/gx-digital-democracy-survey-generational-media-consumption-trends.html DoubleClick. (2011). A New Approach to Video Advertising for Publishers of All Sizes. Retrieved from http://doubleclickpublishers.blogspot.tw/2011/10/new-approach-to-video-advertising-for.html Ducoffe, R. H. (1995). How consumers assess the value of advertising. Journal of Current Issues & Research in Advertising, 17(1), 1-18. Ducoffe, R. H. (1996). Advertising Value and Advertising on the Web. Journal of Advertising Research, 36(5), 21-35. Edwards, S. M., Li, H., & Lee, J. H. (2002). Forced exposure and psychological reactance: Antecedents and consequences of the perceived intrusiveness of pop-up ads. Journal of Advertising, 31(3), 83-94. Engeser, S., & Rheinberg, F. (2008). Flow, performance and moderators of challenge-skill balance. Motivation and Emotion, 32(3), 158-172. Folk, C. L., Remington, R. W., & Johnston, J. C. (1992). Involuntary Covert Orienting is Contingent on Attentional Control Settings. Journal of Experimental Psychology: Human Perception and Performance, 18(4), 1030-1044. Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4), 440-452. Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50. Fraisse, P. (1984). Perception and Estimation of Time. Annual Review of Psychology, 35(1), 1-36. Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of educational research, 74(1), 59-109. Fullagar, C. J., Knight, P. A., & Sovern, H. S. (2013). Challenge/skill balance, flow, and performance anxiety. Applied Psychology, 62(2), 236-259. Goel, L., Johnson, N. A., Junglas, I., & Ives, B. (2011). From space to place: predicting users' intentions to return to virtual worlds. MIS Quarterly, 35(3), 749-772. Guo, Y. M., & Klein, B. D. (2009). Beyond the Test of the Four Channel Model of Flow in the Context of Online Shopping. Communications Of The Association For Information Systems, 24(1), 837-856. Guo, Y. M., & Poole, M. S. (2009). Antecedents of flow in online shopping: a test of alternative models. Information Systems Journal, 19(04), 369-390. Guo, Y. M., & Ro, Y. K. (2008). Capturing flow in the business classroom. Decision Sciences. Journal of Innovative Education, 6(2), 437-462. Guthrie, J. T., McGough, K., Bennett, L., & Rice, M. E. (1996). Concept-oriented reading instruction: An integrated curriculum to develop motivations and strategies for reading. Developing engaged readers in school and home communities, 165-190. Ha, L. (1996). Observations: advertising clutter in consumer magazines: dimensions and effects. Journal of Advertising Research, 36(4), 76- 84. Hawkins, R. P., Tapper, J., Bruce, L., & Pingree, S. (1995). Strategic and nonstrategic explanations for attentional inertia. Communication Research, 22(2), 188-206. Heo, J., Lee, Y., Pedersen, P. M., & McCormick, B. P. (2010). Flow experience in the daily lives of older adults: An analysis of the interaction between flow, individual differences, serious leisure, location, and social context. Canadian journal on aging/La revue canadienne du vieillissement, 29(03), 411-423. Hillstrom, A. P., & Yantis, S. (1994). Visual Motion and Atten- tional Capture. Perception & Psychophysics, (55:4), pp. 399-411. Hoelzel, M. (2014). Online Video Advertising Is Growing Many Times Faster Than TV, Search, And Most Other Digital Ad Markets. 2015, from http://www.businessinsider.com/digital-video-advertising-growth-trends-2014-5 Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: conceptual foundations. The Journal of Marketing, 60(3), 50-68. Hong, W., Thong, J. Y. L., & Tam, K. Y. (2005). The Effects of Information Format and Shopping Task on Customers’ Online Shopping Behavior: A Cognitive Fit Perspective. Journal of Management Information Systems, 21(3), 149-184. IAB. (2012). IAB Digital Video 2012 Recap, New York, USA, Interactive Advertising Bureau. Retrieved from http://www.iab.net/events_training/2012/digitalvideo/recap Janiszewski, C. (1998). The Influence of Display Characteristics on Visual Exploratory Search Behavior. Journal of Customer Research, 25(3), 290-301. Jarvis, C. B., MacKenzie, S. B., & Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30(2), 199-218. Jordan, P. W. (1998). Human factors for pleasure in product use. Applied ergonomics, 29(1), 25-33. Kahn, W. A. (1990). Psychological conditions of personal engagement and disengagement at work. Academy of Management Journal, 33(4), 692-724. Kahneman, D. (1973). Attention and Effort. NJ: Prentice-Hall. Kankanhalli, M. S., Wang, J., & Jain, R. (2006). Experiential sampling on multiple data streams. Multimedia, IEEE Transactions on, 8(5), 947-955. Kelly, L., Kerr, G., & Drennan, J. (2010). Avoidance of advertising in social networking sites: The teenage perspective. Journal of Interactive Advertising, 10(2), 16-27. Kennedy, J. R. (1971). How program environment affects TV commercials. Journal of Advertising Research, 11(1), 33–38. Kent, R. J., & Allen, C. T. (1994). Competitive interference effects in consumer memory for advertising: The role of brand familiarity. Journal of Marketing, 58(3), 97-105. Kim, E., Choi, S. M., Kim, S., & Yeh, Y. H. (2013). Factors Affecting Advertising Avoidance on Online Video Sites. The Journal of Advertising and Promotion Research, 2(1), 87-121. Klapp, O. E. (1986). Overload and Boredom: Essays on the Quality of Life in the Information Society. New York, USA: Greenwood Press. Kline, R. B. (2005). Principles and Practice of Structural Equation Modeling. New York, NY: Guilford. Krammer, V. (2008). An effective defense against intrusive web advertising. IEEE, Sixth Annual Conference, PST'08, 3-14. Krugman, D. M., & Johnson, K. F. (1991). Differences in the consumption of traditional broadcast and VCR movie rentals. Journal of Broadcasting & Electronic Media, 35(2), 213-232. Krugman, H. E. (1983). Television program interest and commercial interruption: Are commercials on interesting programs less effective. Journal of Advertising Research, 23(1), 21-23. Lamy, D., & Tsal, Y. (1999). A Salient Distractor does not Disrupt Conjunction Search. Psychonomic Bulletin and Review, 6(1), 93-98. Lee, L., Chen, K., & Illie, V. (2012). Can Online Wait Be Managed? The Effect of Filler Interfaces and Presentation Modes on Perceived Waiting Time Online. MIS Quarterly, 36(2), 365-394. Lee, S., & Lumpkin, J. R. (1992). Differences in attitudes toward TV advertising: VCR usage as a moderator. International Journal of Advertising, 11(4), 333-342. Li, H., Edwards, S. M., & Lee, J. H. (2002). Measuring the intrusiveness of advertisements: Scale development and validation. Journal of Advertising, 31(2), 37-47. Lin, H. F. (2009). Examination of cognitive absorption influencing the intention to use a virtual community. Behaviour & Information Technology, 28(5), 421-431. Løvoll, H. S., & Vittersø, J. (2014). Can balance be boring? A critique of the “Challenges should match skills” hypotheses in flow theory. Social indicators research, 115(1), 117-136. McClung, G. W., Park, C. W., & Sauer, W. J. (1985). Viewer processing of commercial messages: Context and involvement. Advances in Consumer Research, 12(1), 351-355. McCoy, S., Everard, A., Galletta, D., & Polak, P. (2004). A study of the effects of online advertising: A focus on pop-Up and in-Line Ads. SIGHCI 2004 Proceedings, 11. McCoy, S., Everard, A., Polak, P., & Galletta, D. F. (2008). An experimental study of antecedents and consequences of online ad intrusiveness. International Journal of Human Computer Interaction, 24(7), 672-699. McKinney, V., Yoon, K., & Zahedi, F. M. (2002). The measurement of web-customer satisfaction: an expectation and disconfirmation approach. Information Systems Research, 13(3), 296-315. Milne, G. R., & Rohm, A. J. (2004). Consumers' protection of online privacy and identity. Journal of Consumer Affairs, 38(2), 217-232. Milton, S. K., Rajapakse, J., & Weber, R. (2012). Ontological clarity, cognitive engagement, and conceptual model quality evaluation: An experimental investigation. Journal of the Association for Information Systems, 13(9), 657-693. Nam, Y., Kwon, K. H., & Lee, S. (2010). Does it really matter that people zip through ads? Testing the effectiveness of simultaneous presentation advertising in an IDTV environment. CyberPsychology, Behavior, and Social Networking, 13(2), 225-229. Nielsen. (2014). Top of 2014: Digital, NielsenWire. Retrieved from http://www.nielsen.com/us/en/insights/news/2014/tops-of-2014-digital.html Nunnally, J. C. (1978). Psychometric Theory (2). New York, NY: McGraw-Hill. Ohman, A. (1997). The Orienting Response, Attention and Learning: An Information Processing Perspective. NJ: Orlebecke, Hillsdale. Olney, T. J., Morris, B., & Holbrook, R. B. (1991). Consumer Responses to Advertising: The Effects of Ad Content, Emotions, and Attitude toward the Ad on Viewing Time. Journal of Consumer Research, 17(4), 440-453. Park, C. W., & McClung, G. W. (1986). The effect of TV program involvement on involvement with commercials. Advances in Consumer Research, 13(1), 544-548. Pasadeos, Y. (1990). Perceived informativeness of and irritation with local advertising. Journalism & Mass Communication Quarterly, 67(1), 35-39. Pashkevich, M., Dorai-Raj, S., Kellar, M., & Zigmond, D. (2012). Empowering online advertisements by empowering viewers with the right to choose the relative effectiveness of skippable video advertisements on YouTube. Journal of Advertising Research, 52(4), 451-457. Plummer, J., Rappaport, S. D., Hall, T., & Barocci, R. (2007). The online advertising playbook: proven strategies and tested tactics from the advertising research foundation. USA: John Wiley & Sons. Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903. Rejón-Guardia, F., & Martínez-López, F. J. (2014). Online Advertising Intrusiveness and Consumers’ Avoidance Behaviors Handbook of Strategic e-Business Management (pp. 565-586): Springer. Roca, J. C., Chiu, C.-M., & Martinez, F. J. (2006). Understanding E-Learning Continuance Intention: An Extension of the Technology Acceptance Model. International Journal of Human Computer Studies, 64(8), 683-696. Rutkowski, A. F., Saunders, C., Vogel, D., & Van Genuchten, M. (2007). Is It Already 4 a.m. in Your Time Zone? Focus Immersion and Temporal Dissociation in Virtual Teams. Small Group Research, 38(1), 98-129. Saade, R., & Bahli, B. (2005). The Impact of Cognitive Absorption on Perceived Usefulness and Perceived Ease of Use in Online Learning: An Extension of the Technology Acceptance Model. Information & Management, 42(2), 317-327. Sandage, C. H., & Leckenby, J. D. (1980). Student attitudes toward advertising: Institution vs. instrument. Journal of Advertising, 9(2), 29-44. Scott, S., & Media, D. (2015). Examples of Digital Advertising. Retrieved January 25, 2015, Retrieved from http://smallbusiness.chron.com/examples-digital-advertising-10662.html Siper, J. C., & Ward, B. T. (1995). The ethical and legal quandary of e-mail privacy. Communications of the ACM, 38(12), 48-54. Soldow, G. F., & Principe, V. (1981). Response to commercials as a function of program context. Journal of Advertising Research, 21(2), 59-65. Speck, P. S., & Elliott, M. T. (1997a). The antecedents and consequences of perceived advertising clutter. Journal of Current Issues & Research in Advertising, 19(2), 39-54. Speck, P. S., & Elliott, M. T. (1997b). Predictors of advertising avoidance in print and broadcast media. Journal of Advertising, 26(3), 61-76. Spielmann, N., & Richard, M. O. (2013). How captive is your audience? Defining overall advertising involvement. Journal of Business Research, 66(4), 499-505. Sturges, P. (2002). Remember the Human: the first rule of netiquette, libarians and the internet. Online Information Review, 26(3), 209-216. Tapscott, D. (1996). The Digital Economy: Promise and Pehi tn the Age of NetworkedIntelligence. New York: McGraw-Hill. Teeter, J. D. L., & Loving, B. (2001). Law of Mass Communications. New York, USA: Foundation press. Tellegen, A. (1982). Brief Manual for the Differential Personality Questionnaire. unpublished manuscript. USA. Tellegen, A., & Atkinson, G. (1974). Openness to Absorbing and Self-Altering Experiences ("Absorption"), a Trait Related to Hypnotic Susceptibility. Journal of Abnormal Psychology, 83(3), 268-277. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating perceived behavioral control, computer anxiety and enjoyment into the technology acceptance model. Information Systems Research, 11(4), 342-365. Webster, J., & Hackiey, P. (1997). Teaching Effectiveness in Technology-Mediated Distance Learning. Academy of Management Journal, 40(6), 1282-1309. Wehlage, G. G., & Rutter, R. A. (1986). Dropping Out: How Much Do Schools Contribute to the Problem? Teachers College Recod, 87, 374-392. Wells, W. D., Leavitt, C., & McConville, M. (1971). A Reaction Profile for TV Commercials. Journal of Aduertising Research, 11(6), 11-17. Wigfield, A., & Guthrie, J. T. (2000). Engagement and motivation in reading. Handbook of reading research, 3, 403-422. Wöran, B., & Arnberger, A. (2012). Exploring relationships between recreation specialization, restorative environments and mountain hikers’ flow experience. Leisure Sciences, 34(2), 95-114. Yantis, S., & Egeth, H. E. (1999). On the Distinction Between Visual Salience and Stimulus-Driven Attentional Capture. Journal of Experimental Psychology: Human Perception and Performance, 25(3), 661-676. Zaichkowsky, J. L. (1994). The personal involvement inventory: Reduction, revision, and application to advertising. Journal of Advertising, 23(4), 59-70.
|