MABS: Spreadsheet– based decision support for precision marketing

In this paper, we describe a decision support system developed for automatically scheduling and optimising broadcasts of advertisements to mobile phones via SMS (Short Message Service) text messaging. The system, MABS or “Mobile Advertising Broadcast Scheduler”, is developed in Microsoft Excel with...

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Main Authors: DE REYCK, Bert, DEGRAEVE, Zeger
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2006
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/6751
https://ink.library.smu.edu.sg/context/lkcsb_research/article/7754/viewcontent/1_s2.0_S0377221705001189_main.pdf
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spelling sg-smu-ink.lkcsb_research-77542021-08-31T08:07:01Z MABS: Spreadsheet– based decision support for precision marketing DE REYCK, Bert DEGRAEVE, Zeger In this paper, we describe a decision support system developed for automatically scheduling and optimising broadcasts of advertisements to mobile phones via SMS (Short Message Service) text messaging. The system, MABS or “Mobile Advertising Broadcast Scheduler”, is developed in Microsoft Excel with a link to Lingo, a modelling language and IP solver. It was developed for a London-based company specialized in location-sensitive precision marketing via mobile phones. The system significantly reduced the time required to schedule the broadcasts, and resulted both in increased customer response and revenues. 2006-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/6751 info:doi/10.1016/j.ejor.2005.01.009 https://ink.library.smu.edu.sg/context/lkcsb_research/article/7754/viewcontent/1_s2.0_S0377221705001189_main.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Decision support systems Marketing Scheduling Integer programming Large scale optimisation Business Administration, Management, and Operations Marketing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Decision support systems
Marketing
Scheduling
Integer programming
Large scale optimisation
Business Administration, Management, and Operations
Marketing
spellingShingle Decision support systems
Marketing
Scheduling
Integer programming
Large scale optimisation
Business Administration, Management, and Operations
Marketing
DE REYCK, Bert
DEGRAEVE, Zeger
MABS: Spreadsheet– based decision support for precision marketing
description In this paper, we describe a decision support system developed for automatically scheduling and optimising broadcasts of advertisements to mobile phones via SMS (Short Message Service) text messaging. The system, MABS or “Mobile Advertising Broadcast Scheduler”, is developed in Microsoft Excel with a link to Lingo, a modelling language and IP solver. It was developed for a London-based company specialized in location-sensitive precision marketing via mobile phones. The system significantly reduced the time required to schedule the broadcasts, and resulted both in increased customer response and revenues.
format text
author DE REYCK, Bert
DEGRAEVE, Zeger
author_facet DE REYCK, Bert
DEGRAEVE, Zeger
author_sort DE REYCK, Bert
title MABS: Spreadsheet– based decision support for precision marketing
title_short MABS: Spreadsheet– based decision support for precision marketing
title_full MABS: Spreadsheet– based decision support for precision marketing
title_fullStr MABS: Spreadsheet– based decision support for precision marketing
title_full_unstemmed MABS: Spreadsheet– based decision support for precision marketing
title_sort mabs: spreadsheet– based decision support for precision marketing
publisher Institutional Knowledge at Singapore Management University
publishDate 2006
url https://ink.library.smu.edu.sg/lkcsb_research/6751
https://ink.library.smu.edu.sg/context/lkcsb_research/article/7754/viewcontent/1_s2.0_S0377221705001189_main.pdf
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