Relating supply network structure to productive efficiency: A multi-stage empirical investigation

2017 ◽  
Vol 259 (2) ◽  
pp. 469-485 ◽  
Author(s):  
Ta-Wei (Daniel) Kao ◽  
N.C. Simpson ◽  
Benjamin B.M. Shao ◽  
Winston T. Lin
Keyword(s):  
Network Structure ◽  
Empirical Investigation ◽  
Productive Efficiency ◽  
Supply Network ◽  
Multi Stage

scholarly journals Administrative environmental innovations, supply network structure, and environmental disclosure

2020 ◽  
Vol 66 (7-8) ◽  
pp. 895-932
Author(s):  
Marcus A. Bellamy ◽  
Suvrat Dhanorkar ◽  
Ravi Subramanian
Keyword(s):  
Network Structure ◽  
Supply Network ◽  
Environmental Disclosure

When Ignorance Is Not Bliss: An Empirical Analysis of Subtier Supply Network Structure on Firm Risk

2020 ◽  
Author(s):  
Yixin (Iris) Wang ◽  
Jun Li ◽  
Di (Andrew) Wu ◽  
Ravi Anupindi
Keyword(s):  
Supply Chain ◽  
Network Structure ◽  
Operations Management ◽  
Financial Risk ◽  
Significant Proportion ◽  
Abnormal Returns ◽  
Supply Network ◽  
Tier 2 ◽  
Risk Levels ◽  
Common Structure

Using a multitier mapping of supply-chain relationships constructed from granular global, firm-to-firm supplier–customer linkages data, we quantify the degree of financial risk propagation from the supply network beyond firms’ direct supply-chain connections and isolate structural network properties serving as significant moderators of risk propagation. We first document a baseline fact: a significant proportion of tier-2 suppliers are shared by tier-1 suppliers. We then construct two simple metrics to capture the degree of tier-2 sharing and disentangle its effect from tier-2 suppliers’ own risks. We show that the focal firms’ risk levels are significantly related to the proportion of shared tier-2 suppliers in their supply network, and the effect becomes monotonically stronger as their tier-2 suppliers become more highly shared. Finally, we uncover causal relationships behind these associations using a new source of exogenous, idiosyncratic risk events in an event study setting. We show that, as tier-2 suppliers are impacted by these events, focal firms experience negative abnormal returns, the magnitude of which is significantly larger when the impacted tier-2 suppliers are more heavily shared. Overall, our study uncovers the subtier network structure as an important risk source for the focal firm, with the degree of tier-2 sharing as the main moderator. Our results also provide the microfoundation for a common structure in idiosyncratic risks and suggest the importance of incorporating the effect of subtier supply network structure in the portfolio-optimization process. This paper was accepted by Vishal Gaur, operations management.

scholarly journals Methodology for Simulation and Analysis of Complex Adaptive Supply Network Structure and Dynamics Using Information Theory

Entropy ◽  
2016 ◽  
Vol 18 (10) ◽  
pp. 367 ◽  
Author(s):  
Joshua Rodewald ◽  
John Colombi ◽  
Kyle Oyama ◽  
Alan Johnson
Keyword(s):  
Information Theory ◽  
Network Structure ◽  
Supply Network ◽  
Structure And Dynamics ◽  
Complex Adaptive

A multi-stage stochastic supply network design problem with financial decisions and risk management

Omega ◽  
2012 ◽  
Vol 40 (5) ◽  
pp. 511-524 ◽  
Author(s):  
Stefan Nickel ◽  
Francisco Saldanha-da-Gama ◽  
Hans-Peter Ziegler
Keyword(s):  
Risk Management ◽  
Network Design ◽  
Design Problem ◽  
Network Design Problem ◽  
Supply Network ◽  
Financial Decisions ◽  
Multi Stage

scholarly journals Infrastructural Facilities and Industrial Development: An Empirical Investigation in the Lagos Region

2021 ◽  
Vol 14 (1) ◽  
pp. 26-43
Author(s):  
Adejompo Fagbohunka ◽  
Gbenga John Oladehinde
Keyword(s):  
Research And Development ◽  
Industrial Development ◽  
Stepwise Regression ◽  
Empirical Investigation ◽  
Descriptive Statistics ◽  
P Value ◽  
Multi Stage ◽  
Level Of Significance ◽  
Industrial Zones ◽  
The Impact

Abstract Subject and purpose of work: Investment in infrastructural facilities has the capacity to create an enabling environment to stimulate business and industrial activities. Nevertheless, there are a few studies on the impact of infrastructural facilities on industrial development in developing countries. The main aim of this study is to investigate the impact of infrastructural facilities on industrial development in Lagos State, Nigeria. Materials and methods: One hundred and three questionnaires were administered to the selected companies through the use of multi-stage sampling techniques across the industrial zones. The data collected were analysed using descriptive statistics while ANOVA, Stepwise Regression, and correlation were used to investigate the research hypothesis. Results: The research shows that the impact of infrastructure on research and development is poor, while the infrastructural impact on the ease of production is averagely significant. Using Stepwise regression, the study revealed that ease of production (89.7%), productivity (1.1%), and industrial expansion (1.5%) were the major areas of industrial development that were positively impacted while research and development and workers’ morale were not positively impacted. The result of Pearson’s product moment correlation coefficient shows that a relationship exists between infrastructural facilities and industrial development of the Lagos region (r= 0.880; p-value=0.000) at 0.05 level of significance. Conclusions: The study concluded that adequacy of infrastructural facilities positively enhances and boosts the industrial potential of the study area.

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