Multi-Period Optimal Capacity Strategy Based on Consumer Behavior Involved in Social Media
Du Jian () and
Jia Junxiu ()
Additional contact information
Du Jian: School of Economics and Management, Xidian University, Xi’an710071, China
Jia Junxiu: School of Economics and Management, Xidian University, Xi’an710071, China
Journal of Systems Science and Information, 2017, vol. 5, issue 4, 356-366
Abstract:
Social media and consumer behavior are increasingly important in business nowadays. As a new form of advertising, social media do facilitate the increase in demand and bring a challenge to manufactures. While researchers demonstrated that insufficient capacity generates the loss in the process of sales, an opposite conclusion has been obtained that the profit is larger in insufficient capacity. This study investigates this situation of a manufacturer. We develop a multi period model of insufficient capacity concerning with social media and consumer behavior. An calculation of the model indicates that a great change appears in the demand of each period. To ensure the maximum profit, the capacity of each period is computed. And the profit is almost 8 times larger than that we do not consider social media and consumer behavior. We discuss the implications of our findings for both theory and practice.
Keywords: capacity; social media; consumer behavior; enterprise income (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.21078/JSSI-2017-356-11 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bpj:jossai:v:5:y:2017:i:4:p:356-366:n:6
DOI: 10.21078/JSSI-2017-356-11
Access Statistics for this article
Journal of Systems Science and Information is currently edited by Shouyang Wang
More articles in Journal of Systems Science and Information from De Gruyter
Bibliographic data for series maintained by Peter Golla ().