Open Access
ITM Web Conf.
Volume 41, 2022
International Conference on Exploring Service Science (IESS 2.2)
Article Number 01005
Number of page(s) 14
Section General Track
Published online 08 February 2022
  1. T. Odean, Do investors trade too much?, American economic review, 89(5) 1279–1298, (1999. [CrossRef] [Google Scholar]
  2. B. M. Barber and T. Odean, Trading is hazardous to your wealth, The Journal of Finance, 55(2) 773–806, (2000. [CrossRef] [Google Scholar]
  3. M. Grinblatt and M. Keloharju, The investment behavior and performance of various investor types, Journal of financial economics, 55(1) 43–67, (2000. [CrossRef] [Google Scholar]
  4. A. Kamesaka, J. R. Nofsinger, and H. Kawakita, Investment patterns and performance in Japan, Pac-basin financ j, 11(1) 1–22, (2003. [CrossRef] [Google Scholar]
  5. P.-G. Shu, S.-B. Chiu, H.-C. Chen, and Y.-H. Yeh, Does trading improve individual investor performance?, Rev quant fin and acc, 22(3) 199–217, (2004. [CrossRef] [Google Scholar]
  6. A. Anderson, All guts, no glory: Trading and diversification among online investors, European Financial Management, 13(3) 448–471, (2007. [CrossRef] [Google Scholar]
  7. N. Y. Oh, J. T. Parwada, and T. S. Walter, Investors’ trading behavior and performance: Online versus non-online equity trading in Korea, Pacific-Basin Finance Journal, 16(1–2) 26–43, (2008). [CrossRef] [Google Scholar]
  8. B. M. Barber, X. Huang, T. Odean, and C. Schwarz, Attention induced trading and returns: Evidence from Robinhood users, Journal of Finance, forthcoming (2021). [Google Scholar]
  9. G. W. Eaton, T. C. Green, B. Roseman, and Y. Wu, Zero-commission individual investors, high frequency traders, and stock market quality, High Frequency Traders, and Stock Market Quality(2021). [Google Scholar]
  10. I. Welch, The Wisdom of the Robinhood crowd, NBER, (2020). [CrossRef] [Google Scholar]
  11. A. Kalda, B. Loos, A. Previtero, and A. Hackethal, Smart (Phone) Investing? A within Investor-time Analysis of New Technologies, NBER, (2021). [Google Scholar]
  12. C. Fink, Why millennials gravitate to new brands in online investing, Journal of Brand Strategy, 9(4) 401–407, (2021. [Google Scholar]
  13. R. G. Ibbotson and P. D. Kaplan, Does asset allocation policy explain 40, 90, or 100 percent of performance?, Financial Analysts Journal, 56(1) 26–33, (2000. [CrossRef] [Google Scholar]
  14. B. M. Barber and T. Odean, The behavior of individual investors, in Handbook of the Economics of Finance, 2, Elsevier, 2013, 1533–1570. [CrossRef] [Google Scholar]
  15. C. M. Jones, D. Shi, X. Zhang, and X. Zhang, Understanding Retail Investors: Evidence from China, Working paper, Columbia Business School, NY(2021). [Google Scholar]
  16. B. M. Barber and T. Odean, Does Online Trading Change Investor Behavior?, European Business Organization Law Review, 3(1) 83–128, (2002. [CrossRef] [Google Scholar]
  17. A. Paatela and J. Weiss, Behavioral Analysis of Sustained Individual Investors, European Journal of Economics and Business Studies, 7(2) 54–66, (2021. [CrossRef] [Google Scholar]
  18. A. R. Hevner, S. T. March, J. Park, and S. Ram, Design science in information systems research, MIS quarterly, 28(1) 75–105, (2004. [Google Scholar]
  19. S. T. March and G. F. Smith, Design and natural science research on information technology, Decision support systems, 15(4) 251–266, (1995. [CrossRef] [Google Scholar]
  20. J. F. Nunamaker Jr, M. Chen, and T. D. Purdin, Systems development in information systems research, Journal of management information systems, 7(3) 89–106, (1990. [CrossRef] [Google Scholar]
  21. S. Gregor and D. Jones, The anatomy of a design theory, 8(5) 312–335, (2007. [Google Scholar]
  22. M. L. Markus, A. Majchrzak, and L. Gasser, A design theory for systems that support emergent knowledge processes, MIS quarterly, 26(3) 179–212, (2002. [Google Scholar]
  23. J. G. Walls, G. R. Widmeyer, and O. A. El Sawy, Building an information system design theory for vigilant EIS, Information systems research, 3(1) 36–59, (1992. [CrossRef] [Google Scholar]
  24. J. G. Walls, G. R. Widermeyer, and O. A. El Sawy, Assessing information system design theory in perspective, JITTA, 6(2) 43–58, (2004. [Google Scholar]
  25. C. Sonnenberg and J. Brocke, Evaluations in the science of the artificial– reconsidering the build-evaluate pattern, DESRIST, (2012). [Google Scholar]
  26. J. Holmström, M. Ketokivi, and A.-P. Hameri, Bridging practice and theory: A design science approach, Decision Sciences, 40(1) 65–87, (2009. [CrossRef] [Google Scholar]
  27. W. F. Sharpe, Integrated asset allocation, Finance analysts j, 43(5) 25–32, (1987. [CrossRef] [Google Scholar]
  28. B. M. Barber, X. Huang, T. Odean, and C. Schwarz, Attention induced trading and returns: Evidence from Robinhood users, SSRN 3715077, (2020). [Google Scholar]
  29. C.-W. Tan, I. Benbasat, and R. T. Cenfetelli, IT-mediated customer service content and delivery in electronic governments: An empirical investigation of the antecedents of service quality, MIS quarterly, 37(1) 77–109, (2013. [CrossRef] [Google Scholar]
  30. M. J. Bitner, B. H. Booms, and M. S. Tetreault, The service encounter: diagnosing favorable and unfavorable incidents, Journal of marketing, 54(1) 71–84, (1990. [CrossRef] [Google Scholar]
  31. R. G. Qiu, Service science: The foundations of service engineering and management. John Wiley & Sons, 2014. [CrossRef] [Google Scholar]
  32. D. Xin Ding, P. J.-H. Hu, R. Verma, and D. G. Wardell, The impact of service system design and flow experience services, J. Serv. Res., 13(1) 96–110, (2010. [CrossRef] [Google Scholar]
  33. A. Scherer, N. V. Wünderlich, and F. Von Wangenheim, The Value of Self-Service, MIS quarterly, 39(1) 177–200, (2015. [CrossRef] [Google Scholar]
  34. T. Cocca, Potential and limitations of virtual advice in wealth management, Journal of Financial Transformation, 44(1) 45–57, (2016. [Google Scholar]
  35. K. Peffers, T. Tuunanen, M. A. Rothenberger, and S. Chatterjee, A design science research methodology for information systems research, Journal of management information systems, 24(3) 45–77, (2007. [CrossRef] [Google Scholar]
  36. H. Takeda, P. Veerkamp, and H. Yoshikawa, Modeling design process, AI magazine, 11(4) 37–37, (1990. [Google Scholar]
  37. B. Kuechler and V. Vaishnavi, On theory development in design science research: anatomy of a research project, Eur j inform syst, 17(5) 489–504, (2008. [CrossRef] [Google Scholar]
  38. P. Offermann, O. Levina, M. Schönherr, and U. Bub, Outline of a design science research process, in Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology, (2009). [Google Scholar]
  39. R. Barras, Towards a theory of innovation in services, Research policy, 15(4) 161–173, (1986). [CrossRef] [Google Scholar]
  40. M. Grisot, O. Hanseth, and A. A. Thorseng, Innovation of, in, on infrastructures, Journal of the Association for Information Systems, 15(4) 2, (2014). [Google Scholar]

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