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Preliminary Research of Information Overload from Information Search and Information Follow

   | 31 dic 2020
INFORMAZIONI SU QUESTO ARTICOLO

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1. Agnew, J. R. & Szykman, L. R. (2005). Asset allocation and information overload: The influence of information display, asset choice, and investor experience. Journal of Behavioral Finance, 6(2), 57–70. https://doi.org/10.1207/s15427579jpfm0602_210.1207/s15427579jpfm0602_2Search in Google Scholar

2. Allen, D. K. & Shoard, M. (2005). Spreading the load: Mobile information and communications technologies and their effect on information overload. Information Research, 10(2), 1–13.Search in Google Scholar

3. Anderson, M. J. (1988). A comparative analysis of information search and evaluation behavior of professional and non-professional financial analysts. Accounting, Organization and Society, 13(5), 431–446. https://doi.org/10.1016/0361-3682(88)90015-310.1016/0361-3682(88)90015-3Search in Google Scholar

4. Anderson, S. P. & de Palma, A. (2009). Information Congestion. The RAND Journal of Economics, 40(4), 688–709. https://www.jstor.org/stable/2559373410.1111/j.1756-2171.2009.00085.xSearch in Google Scholar

5. Anderson, S. P. & de Palma, A. (2012). Competition for attention in the information (overload) age. The RAND Journal of Economics, 43(1), 1–25. https://doi.org/10.1111/j.1756-2171.2011.00155.x10.1111/j.1756-2171.2011.00155.xSearch in Google Scholar

6. Baranetsky, V. (2017). Information overload is driving us crazy — And the media can help. CNN Opinion. Retrieved from https://www.cnn.com/2017/12/01/opinions/information-overload-new-media-opinion-baranetsky/index.htmlSearch in Google Scholar

7. Bawden, D. & Robinson, L. (2009). The dark side of information: Overload, anxiety and other paradoxes and pathologies. Journal of Information Science, 35(2), 180–191. https://doi.org/10.1177/016555150809578110.1177/0165551508095781Search in Google Scholar

8. Berghel, H. (1997). Cyberspace 2000: Dealing with information overload. Communications of the ACM, 40, 19–24. https://doi.org/10.1145/253671.25368010.1145/253671.253680Search in Google Scholar

9. Blair, A. (2003). Reading strategies for coping with information overload ca. 1550–1700. Journal of the History of Ideas, 64(1), 11–28. https://doi.org/10.2307/365429310.2307/3654293Search in Google Scholar

10. Blair, A. (2011). Information overload’s 2,300-year-old history. Harvard Business Review. Retrieved from https://hbr.org/2011/03/information-overloads-2300-yea.htmlSearch in Google Scholar

11. Branco, F., Sun, M., & Villas-Boas, J. M. (2016). Too much information? Information provision and search costs. Marketing Science, 35(4), 605–618. https://doi.org/10.1287/mksc.2015.095910.1287/mksc.2015.0959Search in Google Scholar

12. Bray, D. A. (2008). Information pollution, knowledge overload, limited attention spans, and our responsibilities as IS professionals. Emory University Working Paper. https://doi.org/10.2139/ssrn.96273210.2139/ssrn.962732Search in Google Scholar

13. Chen, M. (2018). Improving website structure through reducing information overload. Decision Support Systems, 110, 84–94. https://doi.org/10.1016/j.dss.2018.03.00910.1016/j.dss.2018.03.009Search in Google Scholar

14. Chen, W. & Lee, K. H. (2013). Sharing, liking, commenting, and distressed? The pathway between Facebook interaction and psychological distress. Cyberpsychology, Behavior and Social Networking, 16(10), 728–734. https://doi.org/10.1089/cyber.2012.027210.1089/cyber.2012.0272Search in Google Scholar

15. Chen, Y., Shang, R., & Kao, C. (2009). The effects of information overload on consumers’ subjective state towards buying decision in the internet shopping environment. Electronic Commerce Research and Applications, 8(1), 48–58. https://doi.org/10.1016/j.elerap.2008.09.00110.1016/j.elerap.2008.09.001Search in Google Scholar

16. Dean, D. & Webb, C. (2011). Recovering from information overload. McKinsey Quarterly. Retrieved from https://www.mckinsey.com/business-functions/organization/our-insights/recovering-from-information-overloadSearch in Google Scholar

17. Edmunds, A. & Morris, A. (2000). The problem of information overload in business organizations: A review of the literature. International Journal of Information Management, 20(1), 17–29. https://doi.org/10.1016/S0268-4012(99)00051-110.1016/S0268-4012(99)00051-1Search in Google Scholar

18. Ellison, K. E. (2017). Fatal News: Reading and information overload in early eighteenth-century literature. Routledge.Search in Google Scholar

19. Eppler, M. J. & Mengis, J. (2004). A framework for information overload research in organizations: Insights from organization science, accounting, marketing, MIS and related disciplines. The Information Society: An International Journal, 20(5), 325–344.10.1080/01972240490507974Search in Google Scholar

20. Gooding, P, Terras, M., & Warwick, C. (2013). The myth of the new: Mass digitalization, distant reading, and the future of the book. Literary and Linguistic Computing, 28(4), 629–639. https://doi.org/10.1093/llc/fqt05110.1093/llc/fqt051Search in Google Scholar

21. Greenwood, S., Perrin, A., & Duggan, M. (2016). Social media update 2016. Pew Research Center Report. Retrieved from https://www.pewresearch.org/internet/2016/11/11/social-media-update-2016/Search in Google Scholar

22. Griffiths, M. (2000). Internet addiction-Time to be taken seriously? Addiction Research, 8(5), 413–418. https://doi.org/10.3109/1606635000900558710.3109/16066350009005587Search in Google Scholar

23. Griffiths, M. D. & Pontes, H. M. (2014). Internet addiction disorder and Internet gaming disorder are not the same. Journal of Addiction Research and Therapy, 5(4), 1–3. https://doi.org/10.4172/2155-6105.1000e12410.4172/2155-6105.1000e124Search in Google Scholar

24. Harper, R. H. R. (2010). Texture: Human Expression in the Age of Communications Overload. The MIT Press.10.7551/mitpress/7856.001.0001Search in Google Scholar

25. Hemp, P. (2009). Death by information overload. Harvard Business Review, 87(9), 82–89.Search in Google Scholar

26. Heylighen, F. (2002). Complexity and information overload in society: Why increasing efficiency leads to decreasing control. Draft paper to be submitted to Information Society. Retrieved from http://pcp.vub.ac.be/Papers/Info-overload.pdf.Search in Google Scholar

27. Holton, A. E. & Chyi, H. I. (2012). News and the overloaded consumer: Factors influencing information overload among news consumers. Cyberpsychology, Behavior and Social Networking, 15(11), 619–624. https://doi.org/10.1089/cyber.2011.061010.1089/cyber.2011.0610Search in Google Scholar

28. Horrigan, J. B. (2016a). Information overload. Pew Research Center Report. Retrieved from http://www.pewinternet.org/2016/12/07/information-overloadSearch in Google Scholar

29. Horrigan, J. B. (2016b). Libraries 2016. Pew Research Center Report. Retrieved from https://www.pewresearch.org/internet/2016/09/09/libraries-2016Search in Google Scholar

30. Hunt, R. E. & Newman, R. G. (1997). Medical knowledge overload: A disturbing trend for physicians. Health Care Management Review, 22(1), 70–75.10.1097/00004010-199724000-00009Search in Google Scholar

31. Jacoby, J. (1984). Perspectives on information overload. Journal of Consumer Research, 10(4), 432–435. https://doi.org/10.1086/20898110.1086/208981Search in Google Scholar

32. Jacoby, J., Speller, D. E., & Berning, C. K. (1974). Brand choice behavior as a function of information load: Replication and extension. Journal of Consumer Research, 1(1), 33–42. https://www.jstor.org/stable/248895210.1086/208579Search in Google Scholar

33. Jones, Q., Ravid, G., & Rafaeli, S. (2004). Information overload and the message dynamics of online interaction spaces: A theoretical model and empirical exploration. Information Systems Research, 15(2), 194–210. https://doi.org/10.1287/isre.1040.002310.1287/isre.1040.0023Search in Google Scholar

34. Koroleva, K. & Bolufe-Rohler, A. J. (2012). Reducing information overload: Design and evaluation of filtering and ranking algorithms for social networking sites. ECIS 2012 Proceedings.Search in Google Scholar

35. Koroleva, K. & Kane, G. C. (2016). Relational affordances of information processing on Facebook. Information and Management, 54(5), 560–572. https://doi.org/10.1016/j.im.2016.11.00710.1016/j.im.2016.11.007Search in Google Scholar

36. Koulayev, S. (2014). Search for differentiated products: Identification and estimation. The RAND Journal of Economics, 45(3), 553–575. https://doi.org/10.1111/1756-2171.1206210.1111/1756-2171.12062Search in Google Scholar

37. Lee, A. R., Son, S., & Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in Human Behavior, 55(A), 51–61. https://doi.org/10.1016/j.chb.2015.08.01110.1016/j.chb.2015.08.011Search in Google Scholar

38. Levitin, D. J. (2014). The Organized Mind: Thinking Straight in the Age of Information Overload. Penguin.Search in Google Scholar

39. Lewis, D. (1996). Dying for information? An investigation into information overload in the UK and worldwide — A Reuters report. UK: Reuters Business Information.Search in Google Scholar

40. Li, C. Y. (2016). Why do online consumers experience information overload? An extension of communication theory. Journal of Information Science, 43(6), 835–851. https://doi.org/10.1177/016555151667009610.1177/0165551516670096Search in Google Scholar

41. Li, P. & Sun, Y. (2014). Modeling and performance analysis of information diffusion under information overload in Facebook-like social networks. International Journal of Communication Systems, 27(9), 1268–1288.10.1002/dac.2774Search in Google Scholar

42. Lin, C. (2006). Optimal Web site reorganization considering information overload and search depth. European Journal of Operations Research, 173(3), 839–848. https://doi.org/10.1016/j.ejor.2005.05.02910.1016/j.ejor.2005.05.029Search in Google Scholar

43. Ljungberg, F. & Sorensen, C. (1998). Interaction overload: Managing context and modality. Proceedings of the HICSS-31: Collaboration Technology — Theory and Methodology Minitrack. Big Island, Hawaii.Search in Google Scholar

44. Malhotra, N. K. (1982). Information load and consumer decision making. Journal of Consumer Research, 8(4), 419–430. https://doi.org/10.1086/20888210.1086/208882Search in Google Scholar

45. Melinat, P., Kreuzkam, T., & Stamer, D. (2014). Information overload: A systematic literature review. Proceedings of Conference Perspectives in Business Informatics Research. Lund, Schweden. https://doi.org/10.13140/2.1.4293.760610.1007/978-3-319-11370-8_6Search in Google Scholar

46. Misuraca, R. & Teuscher, U. (2013). Time flies when you maximize-maximizers and satisficers perceive time differently when making decisions. Acta Psychologica, 143(2), 176–180. https://doi.org/10.1016/j.actpsy.2013.03.00410.1016/j.actpsy.2013.03.004Search in Google Scholar

47. Moorthy, S., Ratchford, B. T., & Talukdar, D. (1997). Consumer information search revisited: Theory and empirical analysis. Journal of Consumer Research, 23(4), 263–277. https://doi.org/10.1086/20948210.1086/209482Search in Google Scholar

48. Nielsen, R. K. (2009). The labors of Internet-assisted activism: Overcommunication, miscommunication, and communicative overload. Journal of Information Technology and Politics, 6(3–4), 267–280. https://doi.org/10.1080/1933168090304884010.1080/19331680903048840Search in Google Scholar

49. Perrin, A. (2016). Book reading 2016. Pew Research Center Report. Retrieved from https://www.pewresearch.org/internet/2016/09/01/book-reading-2016Search in Google Scholar

50. Peterson, R. A. & Merino, M. C. (2003). Consumer information search behavior on the Internet. Psychology & Marketing, 20(2), 99–121. https://doi.org/10.1002/mar.1006210.1002/mar.10062Search in Google Scholar

51. Pew Research Center (2016). Dataset of March 7–April 4, 2016 — Libraries. [data files and questionnaire] Retrieved from https://www.pewresearch.org/internet/dataset/march-2016-libraries/Search in Google Scholar

52. Ratchford, B. T. & Srinivasan, N. (1993). An empirical investigation of returns to search. Marketing Science, 12(1), 73–87. https://www.jstor.org/stable/18373810.1287/mksc.12.1.73Search in Google Scholar

53. Roetzel, P. (2019). Information overload in the information age: A review of the literature from business administration, business psychology, and related disciplines with a bibliometric approach and framework development. Business Research, 12(2), 479–522. https://doi.org/10.1007/s40685-018-0069-z10.1007/s40685-018-0069-zSearch in Google Scholar

54. Sasaki, Y., Kawai, D., & Kitamura, S. (2015). The anatomy of tweet overload: How number of tweets received, number of friends, and egocentric network density affect perceived information overload. Telematics and Informatics, 32(4), 853–861. https://doi.org/10.1016/j.tele.2015.04.00810.1016/j.tele.2015.04.008Search in Google Scholar

55. Savolainen, R. (2007). Filtering and withdrawing: Strategies for coping with information overload in everyday contexts. Journal of Information Science, 20(10), 1–11. https://doi.org/10.1177%2F016555150607741810.1177/0165551506077418Search in Google Scholar

56. Scheibehenne, B., Greifeneder, R., & Todd, P. M. (2010). Can there ever be too many options? A meta-analytic review of choice overload. Journal of Consumer Research, 37(3), 409–425. https://doi.org/10.1086/65123510.1086/651235Search in Google Scholar

57. Sevinc, G. & D’Abra, J. (2010). The influence of self-esteem and locus control on perceived e-mail overload. ECIS 2000 Proceedings.Search in Google Scholar

58. Shaver, D. (2007). Impact of the Internet on consumer information search behavior in the United States. Journal of Media Business Studies, 4(2), 27–39. https://doi.org/10.1080/16522354.2007.1107345010.1080/16522354.2007.11073450Search in Google Scholar

59. Shields, M. D. (1980). Some effects of information load on search patterns used to analyze performance reports. Accounting, Organizations and Society, 5(4), 429–442. https://doi.org/10.1016/0361-3682(80)90041-010.1016/0361-3682(80)90041-0Search in Google Scholar

60. Sicilia, M. & Ruiz, S. (2010). The effects of the amount of information on cognitive responses in online purchasing tasks. Electronic Commerce Research and applications, 9(2), 183–191. https://doi.org/10.1016/j.elerap.2009.03.00410.1016/j.elerap.2009.03.004Search in Google Scholar

61. Soule, L. C., Shell, L. W., & Kleen, B. A. (2016). Exploring Internet addiction: Demographic characteristics and stereotypes of heavy Internet users. Journal of Computer Information Systems, 44(1), 64–73.10.1080/08874417.2003.11647553Search in Google Scholar

62. Swar, B., Hameed, T., & Reychav, I. (2017). Information overload, psychological ill-being, and behavioral intention to continue online healthcare information search. Computers in Human Behavior, 70, 416–425. https://doi.org/10.1016/j.chb.2016.12.06810.1016/j.chb.2016.12.068Search in Google Scholar

63. Tam, K. Y. & Ho, S. Y. (2006). Understanding the impact of web personalization on user information processing and decision outcomes. MIS Quarterly, 30(4), 865–890. https://doi.org/10.2307/2514875710.2307/25148757Search in Google Scholar

64. Tungare, M. & Perez-Quinones, M. A. (2009). You scratch my back and I’ll scratch yours: Combating email overload collaboratively. Proceedings of the 27th International Conference on Human Factors in Computing Systems. https://doi.org/10.1145/1520340.152072510.1145/1520340.1520725Search in Google Scholar

65. United States Census Bureau (2016). 2016 Population Estimates. Retrieved from https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?src=bkmkSearch in Google Scholar

66. White, J. D. & Carlston, D. E. (1983). Consequences of schemata for attention, impressions, and recall in complex social interactions. Journal of Personality and Social Psychology, 45(3), 538–549. https://doi.org/10.1037//0022-3514.45.3.53810.1037//0022-3514.45.3.538Search in Google Scholar

67. Whittaker, S. & Sidner, C. (1996). Email overload: Exploring personal information management of email. Proceedings of Conference on Human Factors in Computing Systems. https://doi.org/10.1145/238386.23853010.1145/238386.238530Search in Google Scholar