Abstract
value chains and supply chain management. This scope is usually accompanied by uncertainty to organisations, especially for the cross-border value chain with geographically dispersed operations and activities, and poses
environmental complexity in the form of risks and costs that organisations need to contend with. With this background, the purpose of this paper is to report on the most important macro logistics decision factors that describe environmental complexity for global/cross border logistics operations. The study applies a decisionmaking oriented approach in order to develop a set of macro-logistics factors that pose international uncertainty in cross-border flows of goods, information, payment and ownership. Similarly, a list of information measures that are relevant in scanning against this international uncertainty is also developed. For this purpose, the study deploys integrated literature reviews and content analyses. Finally, the study employs expert opinions in order to validate these factors and information measures and to present the findings in the form of a decision hierarchy. The findings suggest the importance of 17 generic decision factors at the macro-economic (country)
level that pose constraints to international supply chain flows, and describe international uncertainty for firms. A catalogue of 187 information measures that aid in decisions on each relevant factor is also identified. The findings may be used by managers in different industry contexts for their scanning and strategic forecasting needs in relation to international risks. This may be done within the context of decision support systems that aid in global site location and other supply chain design problems. In contrast to solely utilizing widely-accepted environmental scanning indexes, managers may then prioritise macro economic factors with respect to their specific decision-making situations.
environmental complexity in the form of risks and costs that organisations need to contend with. With this background, the purpose of this paper is to report on the most important macro logistics decision factors that describe environmental complexity for global/cross border logistics operations. The study applies a decisionmaking oriented approach in order to develop a set of macro-logistics factors that pose international uncertainty in cross-border flows of goods, information, payment and ownership. Similarly, a list of information measures that are relevant in scanning against this international uncertainty is also developed. For this purpose, the study deploys integrated literature reviews and content analyses. Finally, the study employs expert opinions in order to validate these factors and information measures and to present the findings in the form of a decision hierarchy. The findings suggest the importance of 17 generic decision factors at the macro-economic (country)
level that pose constraints to international supply chain flows, and describe international uncertainty for firms. A catalogue of 187 information measures that aid in decisions on each relevant factor is also identified. The findings may be used by managers in different industry contexts for their scanning and strategic forecasting needs in relation to international risks. This may be done within the context of decision support systems that aid in global site location and other supply chain design problems. In contrast to solely utilizing widely-accepted environmental scanning indexes, managers may then prioritise macro economic factors with respect to their specific decision-making situations.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 54rd Annual Meeting of the Academy of International Business |
| Editors | Susan Feinberg, Tunga Kiyak |
| Place of Publication | East Lansing, MI |
| Publisher | Academy of International Business |
| Publication date | 2012 |
| Pages | 225 |
| Publication status | Published - 2012 |
| Event | AIB 2012 Annual Meeting: Rethinking the Roles of Business, Government and NGOs in the Global Economy - George Washington University and University of Maryland, Washington, United States Duration: 30 Jun 2012 → 3 Jul 2012 Conference number: 54 http://aib.msu.edu/events/2012/ |
Conference
| Conference | AIB 2012 Annual Meeting |
|---|---|
| Number | 54 |
| Location | George Washington University and University of Maryland |
| Country/Territory | United States |
| City | Washington |
| Period | 30/06/2012 → 03/07/2012 |
| Internet address |
| Series | Academy of International Business. Annual Meeting. Proceedings |
|---|---|
| Volume | 54 |
| ISSN | 2078-4430 |