Behavioral analysis and adaptation of a negotiation based, quantitative planning approach for hybrid organizations

Oberlaender, Michael and Dobhan, Alexander (2014) Behavioral analysis and adaptation of a negotiation based, quantitative planning approach for hybrid organizations. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 157. pp. 31-38. ISSN 0925-5273, 1873-7579

Full text not available from this repository. (Request a copy)

Abstract

During the last decades organizational flexibility of enterprises has increased to suit the requirements of dynamic and complex markets. The emergence of hybrid organizations as combinations of hierarchical and heterarchical elements comes along with this development. Hybrid organizations consist of centralized and decentralized units which interact with each other. A popular example is the franchising organization of a retailer, where many franchisees act as members of the organization and entrepreneurs at once. Despite the large amount of papers discussing hybrid organizations, our hybrid planning approach in Dobhan and Oberlaender (2013) for a multi-location newsvendor situation is one of only a few approaches which fit hybrid organizations. The hybrid approach results in an optimal production quantity if the decision makers behave risk-neutrally and rationally. However, empirical studies reveal systematic deviations of decision maker's behavior from risk-neutrality and rationality. In this paper, we therefore analyze the results of our hybrid planning approach for empirically observed decision maker's behavior. (C) 2014 Elsevier B.V. All rights reserved.

Item Type: Article
Uncontrolled Keywords: NEWSVENDOR PROBLEM; RANDOM DEMAND; ASSEMBLY SYSTEMS; DECISION-MAKING; INVENTORY MODEL; RISK-AVERSION; POLICIES; ORDER; CENTRALIZATION; INFORMATION; Pull-to-center effect; Risk-averse behavior; Multi-location newsvendor model; Contracting; Hybrid organization; Assembly chain; Multi-echelon chain
Subjects: 300 Social sciences > 330 Economics
Divisions: Business, Economics and Information Systems > Institut für Wirtschaftsinformatik
Depositing User: Dr. Gernot Deinzer
Date Deposited: 19 Dec 2019 12:15
Last Modified: 19 Dec 2019 12:15
URI: https://pred.uni-regensburg.de/id/eprint/9247

Actions (login required)

View Item View Item