scispace - formally typeset
S

Stephen J. Hiemstra

Researcher at Purdue University

Publications -  20
Citations -  962

Stephen J. Hiemstra is an academic researcher from Purdue University. The author has contributed to research in topics: Price elasticity of demand & Tourism. The author has an hindex of 12, co-authored 20 publications receiving 913 citations.

Papers
More filters
Journal ArticleDOI

Effects of an online virtual community on customer loyalty and travel product purchases.

TL;DR: In this paper, the authors investigate whether demographic and behavioral characteristics differ significantly among groups of online virtual community members; identify factors that affect the community members' loyalty; and determine if the loyalty to an online virtual communities would lead members to purchase products.
Journal ArticleDOI

Improving the Accuracy of Hotel Reservations Forecasting: Curves Similarity Approach

TL;DR: In this paper, a new type of an extrapolative forecasting model that improves the forecasting models of daily occupancy levels in a hotel by focusing on the shape of past booking curves was developed and tested.
Journal ArticleDOI

Hybrid Conjoint Analysis as a Research Technique to Measure Meeting Planners' Preferences in Hotel Selection

TL;DR: In this paper, the authors address the need for measuring meeting planners' preferences of hotel selection to help hotel management better understand their customers' expectations in the meeting business using hybrid conjoint analysis (HCA).
Journal ArticleDOI

Incidence of the Impacts of Room Taxes on the Lodging Industry

TL;DR: In this paper, the authors present a new analysis of the elasticity of supply of lodging services, which is based on an earlier study of elasticity-of-demand in making this assessment, and they find that about $6 out of $7 of the tax is ultimately paid by guests and $1 is paid indirectly by the lodging industry.

Factors Affecting Demand for Tourism in Hong Kong

TL;DR: In this article, the authors developed a set of seven demand models that identify the major factors associated with changes in tourism to Hong Kong, including gross domestic product, relative consumer prices, exchange rates, and interest rates.