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Identifying the optimal combination ...

Dolasinski, Mary Jo.

Identifying the optimal combination of hotel room distribution channels: A DEA analysis with a balanced scorecard approach.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Identifying the optimal combination of hotel room distribution channels: A DEA analysis with a balanced scorecard approach.
Author:	Dolasinski, Mary Jo.
Published:	Ann Arbor : ProQuest Dissertations & Theses, 2016
Description:	113 p.
Notes:	Source: Dissertation Abstracts International, Volume: 78-06(E), Section: A.
Notes:	Adviser: Tianshu Zheng.
Contained By:	Dissertation Abstracts International78-06A(E).
Subject:	Business administration.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10244070
ISBN:	9781369528428

Identifying the optimal combination of hotel room distribution channels: A DEA analysis with a balanced scorecard approach.
Dolasinski, Mary Jo.

Identifying the optimal combination of hotel room distribution channels: A DEA analysis with a balanced scorecard approach. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 113 p.

Source: Dissertation Abstracts International, Volume: 78-06(E), Section: A.

Thesis (Ph.D.)--Iowa State University, 2016.

The hotel industry has experienced changes brought on by growth, customer expectations and the proliferation in the use of e-commerce and online distribution channels. Future hotel success depends on how effectively hotel revenue managers are able to manage all of the different booking channels to maximize hotel revenue.

ISBN: 9781369528428Subjects--Topical Terms:

708619
Business administration.

Identifying the optimal combination of hotel room distribution channels: A DEA analysis with a balanced scorecard approach.
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100 1 $a Dolasinski, Mary Jo. $3 795305
245 1 0 $a Identifying the optimal combination of hotel room distribution channels: A DEA analysis with a balanced scorecard approach.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2016
300 $a 113 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-06(E), Section: A.
500 $a Adviser: Tianshu Zheng.
502 $a Thesis (Ph.D.)--Iowa State University, 2016.
520 $a The hotel industry has experienced changes brought on by growth, customer expectations and the proliferation in the use of e-commerce and online distribution channels. Future hotel success depends on how effectively hotel revenue managers are able to manage all of the different booking channels to maximize hotel revenue.
520 $a This study represents a new approach for hotels, the use of a Data Envelopment Analysis-Balanced Scorecard (DEA-BSC) model to measure efficiency of distribution channel mix as measured by balanced scorecard results. DEA-BSC was chosen for this study because while traditional business models typically focus on one performance measure like profit, DEA-BSC considers multiple metrics simultaneously (Zhu, 2014a). Inputs for this study included the percentage of rooms sold revenue of five distribution channels including C-Res/Voice, GDS, brand.com, OTAs, and property/relationship sales. Output was consolidated BSC average. Hotels (DMUs) for the study included fifty-three select service hotels managed by a hotel management company with hotels located throughout the United States.
520 $a Findings indicated that the DEA-BSC model were able to use channel mix as inputs and consolidated BSC average as output to identify efficient (benchmark) hotels and inefficient hotels. Findings also provided measurement and direction regarding the gap between the hotels that were efficient vs. those that were not. The model could not provide information on whether one output was more effective than another in contributing to the success of a hotel (DMU), but findings generated by the DEA-BSC model provided each inefficient hotel (DMU) with benchmark comparison information to assist the inefficient hotel (DMU) to become efficient.
590 $a School code: 0097.
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710 2 $a Iowa State University. $b Apparel, Educational Studies and Hospitality Management. $3 531108
773 0 $t Dissertation Abstracts International $g 78-06A(E).
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