Macro-logistics Decision Factors and Information Measures for Scanning Global (Supply Chain) Environments in International Location Choice

Research output: Contribution to conferencePaperResearchpeer-review

Abstract

The spatial and placial scope of organisations has recently been reemphasised in the context of crossborder 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 decision-making oriented approach in order to develop a set of macrologistics 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 languageEnglish
Publication date2012
Number of pages37
Publication statusPublished - 2012
EventAIB 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 20123 Jul 2012
Conference number: 54
http://aib.msu.edu/events/2012/

Conference

ConferenceAIB 2012 Annual Meeting
Number54
LocationGeorge Washington University and University of Maryland
CountryUnited States
CityWashington
Period30/06/201203/07/2012
Internet address

Bibliographical note

CBS Library does not have access to the material

Cite this

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title = "Macro-logistics Decision Factors and Information Measures for Scanning Global (Supply Chain) Environments in International Location Choice",
abstract = "The spatial and placial scope of organisations has recently been reemphasised in the context of crossborder 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 andactivities, 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 logisticsoperations. The study applies a decision-making oriented approach in order to develop a set of macrologistics 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 thisinternational 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 findingssuggest 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. Thefindings 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 tosolely utilizing widely-accepted environmental scanning indexes, managers may then prioritise macro economic factors with respect to their specific decision-making situations.",
keywords = "Global logistics, Global supply chain management, Location, Country risk, Judgment and decision making",
author = "Aseem Kinra",
note = "CBS Library does not have access to the material; null ; Conference date: 30-06-2012 Through 03-07-2012",
year = "2012",
language = "English",
url = "http://aib.msu.edu/events/2012/",

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Macro-logistics Decision Factors and Information Measures for Scanning Global (Supply Chain) Environments in International Location Choice. / Kinra, Aseem.

2012. Paper presented at AIB 2012 Annual Meeting, Washington, United States.

Research output: Contribution to conferencePaperResearchpeer-review

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AU - Kinra, Aseem

N1 - CBS Library does not have access to the material

PY - 2012

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N2 - The spatial and placial scope of organisations has recently been reemphasised in the context of crossborder 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 andactivities, 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 logisticsoperations. The study applies a decision-making oriented approach in order to develop a set of macrologistics 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 thisinternational 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 findingssuggest 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. Thefindings 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 tosolely utilizing widely-accepted environmental scanning indexes, managers may then prioritise macro economic factors with respect to their specific decision-making situations.

AB - The spatial and placial scope of organisations has recently been reemphasised in the context of crossborder 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 andactivities, 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 logisticsoperations. The study applies a decision-making oriented approach in order to develop a set of macrologistics 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 thisinternational 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 findingssuggest 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. Thefindings 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 tosolely utilizing widely-accepted environmental scanning indexes, managers may then prioritise macro economic factors with respect to their specific decision-making situations.

KW - Global logistics

KW - Global supply chain management

KW - Location

KW - Country risk

KW - Judgment and decision making

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