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An Online Platform for ‘Black Swan’ Event Management in the Hospitality Industry

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Information Systems (EMCIS 2019)

Abstract

Black swan Events or Low Probability High Impact Events (LoPHIEs), like wildfires, earthquakes and volcanic eruptions have significant and multifaceted implications in every economic sector of the area affected; among them, the hospitality and travel industry may be at the frontier of those affected in terms of span and impact. This paper outlines a vivid demonstration of the complexity of involved business processes and their interconnections through a case study. Appropriate preparations for hospitality and travel SMEs to such events have been identified and implemented through a purpose specific information system. To design this online platform, we followed a requirements analysis methodology. The main elements from the implementation of this platform have also been included, whereas elements of an initial usability evaluation have also been presented.

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References

  • Armstrong, J.S.: Findings from evidence-based forecasting: methods for reducing forecast error. Int. J. Forecast. 22(3), 583–598 (2006)

    Article  Google Scholar 

  • Berg, J.E., Neumann, G.R., Rietz, T.A.: Searching for Google’s value: using prediction markets to forecast market capitalization prior to an initial public offering. Manag. Sci. 55(3), 348–361 (2009)

    Article  Google Scholar 

  • Coombs, W.T.: Ongoing Crisis Communication: Planning, Managing, and Responding, 2nd edn. Sage, Los Angeles (2007)

    Google Scholar 

  • Coombs, W.T., Holladay, J.S.: PR Strategy and Application: Managing Influence. Blackwell, Chichester (2010)

    Google Scholar 

  • Diakou, C.-M., Kokkinaki, A.I.: Enabling sustainable development through networks of collective intelligence. In: 4th Conference of the IDRiM Society, 4–6 September 2013. Northumbria University, Newcastle (2013)

    Google Scholar 

  • Fildes, R., Goodwin, P., Lawrence, M., Nikolopoulos, K.: Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning. Int. J. Forecast. 25(1), 3–23 (2009). https://doi.org/10.1016/j.ijforecast.2008.11.010

    Article  Google Scholar 

  • Goodwin, P., Wright, G.: The limits of forecasting methods in anticipating rare events. Technol. Forecast. Soc. Change 77, 355–368 (2010)

    Article  Google Scholar 

  • Halder, B.: Approaches of Humanitarian Crisis Management - Associated Risks with the ICT- based Crowdsourcing Paradigm (2015). Available at SSRN: http://ssrn.com/abstract=2568233 or http://dx.doi.org/10.2139/ssrn.2568233

  • Hergert, M.: The effect of terrorist attacks on shareholder value: a study of United States international firms. Int. J. Manag. 21(1), 25–28 (2004)

    Google Scholar 

  • Jakoubi, S., Tjoa, S., Quirchmayr, G.: Rope: a methodology for enabling the risk-aware modelling and simulation of business processes. In: ECIS 2007 Proceedings (2007). Paper 47

    Google Scholar 

  • Onkal, D., Gonul, M.S.: Judgmental adjustment: a challenge to providers and users of forecasts. Foresight 2, 13–17 (2007)

    Google Scholar 

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Correspondence to Angelika Kokkinaki .

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Kokkinaki, A., Kleanthous, S., Zioga, F., Kirillou, C.M., Papadaki, M. (2020). An Online Platform for ‘Black Swan’ Event Management in the Hospitality Industry. In: Themistocleous, M., Papadaki, M. (eds) Information Systems. EMCIS 2019. Lecture Notes in Business Information Processing, vol 381. Springer, Cham. https://doi.org/10.1007/978-3-030-44322-1_46

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  • DOI: https://doi.org/10.1007/978-3-030-44322-1_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-44321-4

  • Online ISBN: 978-3-030-44322-1

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