東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Supply and demand management in clic...

Bendoly, Elliot.

Linked to FindBook

Google Book

Amazon

博客來

Supply and demand management in clicks-and-mortar operations: Inventory control strategies and service implications.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Supply and demand management in clicks-and-mortar operations: Inventory control strategies and service implications./
Author:	Bendoly, Elliot.
Description:	145 p.
Notes:	Adviser: M. A. Venkataramanan.
Contained By:	Dissertation Abstracts International62-02A.
Subject:	Business Administration, Management. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3005457
ISBN:	0493149627

Supply and demand management in clicks-and-mortar operations: Inventory control strategies and service implications.
Bendoly, Elliot.

Supply and demand management in clicks-and-mortar operations: Inventory control strategies and service implications. - 145 p.

Adviser: M. A. Venkataramanan.

Thesis (Ph.D.)--Indiana University, 2001.

Traditional “brick-and-mortar” operations face the challenge of adapting to a new set of competitive rules made necessary by the recent surge of e-business. Critical to this adaptation is an understanding of on-line customer response and an integrated approach to channel management. In the first section of this work, a discussion of consumer preference leads into an empirical survey-based investigation regarding the nature of on-line/in-store channel preference. The second section of the dissertation explicitly considers inventory minimizing allocation policies for service (backorder) constrained clicks-and-mortar firms. Findings show that risk pooling mechanisms force optimal allocation policies of inventory intended for on-line fulfillment to lay at one of two extremes: Complete centralization of such inventory at a central warehouse, or complete decentralization and shared used of such inventory at a number of distributed store satellites. Which extreme policy is preferred is ultimately based on both the dominance of the online channel with respect to total demand, and the level of the availability constraints imposed. Given both the dynamics of consumer reactivity to changes in availability, and the role that availability constraints have on analytically derived policies, the integration of empirical and analytical methodologies provides a rich description of how sensitivity analysis in such systems should be structured.

ISBN: 0493149627Subjects--Topical Terms:

626628
Business Administration, Management.

Supply and demand management in clicks-and-mortar operations: Inventory control strategies and service implications.
LDR:02364nam 2200265 a 45 001 931058
005 20110429
008 110429s2001 eng d
020 $a 0493149627
035 $a (UnM)AAI3005457
035 $a AAI3005457
040 $a UnM $c UnM
100 1 $a Bendoly, Elliot. $3 1254605
245 1 0 $a Supply and demand management in clicks-and-mortar operations: Inventory control strategies and service implications.
300 $a 145 p.
500 $a Adviser: M. A. Venkataramanan.
500 $a Source: Dissertation Abstracts International, Volume: 62-02, Section: A, page: 0664.
502 $a Thesis (Ph.D.)--Indiana University, 2001.
520 $a Traditional “brick-and-mortar” operations face the challenge of adapting to a new set of competitive rules made necessary by the recent surge of e-business. Critical to this adaptation is an understanding of on-line customer response and an integrated approach to channel management. In the first section of this work, a discussion of consumer preference leads into an empirical survey-based investigation regarding the nature of on-line/in-store channel preference. The second section of the dissertation explicitly considers inventory minimizing allocation policies for service (backorder) constrained clicks-and-mortar firms. Findings show that risk pooling mechanisms force optimal allocation policies of inventory intended for on-line fulfillment to lay at one of two extremes: Complete centralization of such inventory at a central warehouse, or complete decentralization and shared used of such inventory at a number of distributed store satellites. Which extreme policy is preferred is ultimately based on both the dominance of the online channel with respect to total demand, and the level of the availability constraints imposed. Given both the dynamics of consumer reactivity to changes in availability, and the role that availability constraints have on analytically derived policies, the integration of empirical and analytical methodologies provides a rich description of how sensitivity analysis in such systems should be structured.
590 $a School code: 0093.
650 4 $a Business Administration, Management. $3 626628
690 $a 0454
710 2 0 $a Indiana University. $3 960096
773 0 $t Dissertation Abstracts International $g 62-02A.
790 $a 0093
790 1 0 $a Venkataramanan, M. A., $e advisor
791 $a Ph.D.
792 $a 2001
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3005457