Steve Moss

Professor Georgia Southern University

  • Statesboro GA

Steve Moss specializes in tourism, forecasting and quantitative methods

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Are the days of the traditional travel agent done? Let our experts help!

For explorers, those needing a vacation and those tripping abroad – the news of long-time travel company Thomas Cook suddenly going bankrupt came as a shock. One of the oldest travel agencies in the world, Thomas Cook was rooted in brick and mortar operations and has amassed some serious debt. That coupled by its dwindling business that was being lapped up by popular online travel options – the preferred choice of younger travelers meant the end was near. “As it struggled to pitch itself to a new generation of tourists, the company was hit by the 2016 coup attempt in Turkey, one of its top destinations, and the 2018 Europe-wide heat wave which deterred customers from going abroad. Thomas Cook needed another 200 million pounds on top of a 900-million-pound package it had already agreed, to see it through the winter months when it receives less cash and must pay hotels for summer services. The request for an additional 200 million pounds torpedoed the rescue deal that had been months in the making. Thomas Cook bosses met lenders and creditors in London on Sunday to try to thrash out a last-ditch deal to keep the company afloat. They failed.” September 23, Financial Post Travel agencies, much like film for cameras – are becoming a thing of the past and all part of our more digital and modern society. But what’s next for the travel industry? What do those looking to seek out adventure and travel need to be wary of? Are there any other companies on the brink like Thomas Cook? If you are a reporter covering this story – let our experts help. Steve Moss is a professor at Georgia Southern University and specializes in tourism, forecasting and quantitative methods. Steve is available to speak with media regarding this topic – simply click on his icon to arrange an interview.

Steve Moss

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Areas of Expertise

Quantitative Analysis
Business Statistics
Quantitative Methods
Tourism
Forecasting
Real Estate
Managerial Decision Analysis

Accomplishments

Distinguished Research Award, Allied Academies

2005

Distinguished Research Award, Allied Academies

2005

Distinguished Research Award, Allied Academies

2006

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Education

University of South Florida

B.A.

Business Administration

1982

Georgia State University

M.B.A.

1985

Georgia State University

Ph.D.

Decision Sciences

1994

Affiliations

  • Editorial Review Board Member, Academy of Accounting and Financial Studies Journal
  • Editorial Review Board Member, Journal of Management Information and Decision Sciences
  • Conference-Related, Allied Academies
  • Franklin Publishing, Advisory Board Member

Articles

Issues in forecasting international tourist travel

Journal of Management Information and Decision Sciences

Steven Moss, Jun Liu, Janet Moss

2013

In this paper two popular time series methods for modeling seasonality in tourism forecasts are compared. The first uses a decomposition methodology to estimate seasonal variation. In this method seasonal variation is estimated with a ratio-to-centered moving average approach. Three different approaches in calculating the seasonal indices are analyzed. The deseasonalized series are then forecast using an ARIMA model. The second methodology uses a multiplicative seasonal ARIMA (SARIMA) approach to simultaneously model trend and seasonal variations. The two methodologies are compared and the accuracy and managerial advantages of each are discussed.

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International tourism and the Olympics: The legacy effect

Journal of International Business Research

Steven E Moss, Kathleen H Gruben, Janet Moss

2014

This study examines international tourism as a legacy of hosting the Olympics. Prior research has hypothesized that the host city will have sustained increases in international tourism as a result of hosting the Olympics. The increase in tourism is largely attributed to the positive media coverage of the sporting event and the host city. In this research, international air passenger traffic for six Olympics is analyzed. Time series models are used to analyze the effect of the Olympics as an intervention in the series. The magnitude, shape and duration of the intervention are modeled. The results show no sustained increase in international tourism for five of the six host cities. Only half the sites show an increase in international tourism during the Olympics.

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Attacking classroom apathy

Academy of Educational Leadership Journal

Chuck Ryan, Steven E Moss, Janet Moss

2015

This research centers on a pervasive problem in university classrooms: chronically ill-prepared students. The study presents a discussion of the problem, a hierarchical model of learning, and a resulting pre-class intervention tested on 117 college students (predominantly late-sophomore and junior level). The activity required students to summarize learning objectives before material was covered (ex-ante). The summaries were graded and returned to students for revision and subsequent use as study guides. Data analysis showed that students perceived the activity to significantly impact both class and examination preparation (p < .0001). Furthermore, regression results show that objective summaries explained more than 15 percent of the variation in exam performance (p < .0001). Results are important owing to the fact that the intervention was not only perceived by students to be helpful, but also shown to be related empirically to performance. It is also of interest to note that course content required substantial learning, understanding, and use of mathematics, a subject matter from which most students flee.

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