Emerging Risk Knowledge System: An Interdisciplinary Approach of Emerging Risk in Supply Chain Management

Athanasios Batsakidis; Alexander Tsigkas

doi:doi:10.11648/j.ajomis.20220704.12

| Peer-Reviewed

Emerging Risk Knowledge System: An Interdisciplinary Approach of Emerging Risk in Supply Chain Management

Athanasios Batsakidis, Alexander Tsigkas

Published in American Journal of Operations Management and Information Systems (Volume 7, Issue 4)

Received: 8 July 2022 Accepted: 22 July 2022 Published: 10 January 2023

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

This paper present and describe the Emerging Risk Knowledge System (ERKS) which offers solutions to manage effectively complex and unstable situations like emerging risks. Current knowledge is a base for developing new knowledge. However, developing a new Knowledge System (using an interdisciplinary approach) will help the managers to re-evaluate their risk environment. The world's volatility proves that an interdisciplinary understanding of the role of knowledge in the management of supply chain risk is needed. What makes wise-decisions so challenging is that they have to be trapped in the fog of doubt and uncertainty, clouding our ability to make-clear assessments. It is agreed that each situation regarding the supply chain risk is unique and the challenge is to develop an interdisciplinary approach that is meaningful in the practical context. The objective of ERKS is to “train-our-minds” to be more efficient-about-optimizing our decision-making ability. Building on three components (perception, tools, and experiences) that influence one another it develops a system that makes a manager capable of designing new ways of handling disruptions in supply chain management. It aims to provide him with the knowledge he need for his strategy.

Published in	American Journal of Operations Management and Information Systems (Volume 7, Issue 4)
DOI	10.11648/j.ajomis.20220704.12
Page(s)	34-40
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Wisdom, Emerging Risk Knowledge System, Supply Chain Risk, Perception, Emerging Risk

References

[1]	Adhitya, A., Srinivasan, R., & Karimi, I. (2007a). A model-based rescheduling framework for managing abnormal supply chain events. Computers and Chemical Engineering, 496-518.
[2]	Adhitya, A., Srinivasan, R., & Karimi, I. (2009). Supply chain risk identification using a HAZOP-based approach. AIChE Journal, 55 (6), 1447-1463.
[3]	Ardelt, M. (2000). Antecedents and Effects of Wisdom in Old Age. Research of Aging, 22 (4), 360-394.
[4]	Batsakidis, A., & Tsigkas, A. (2019). Practical wisdom in a complex world: building the resilient supply chain. Int. J. Supply Chain and Operations Resilience, 3 (4), 353-368.
[5]	Berg, E., Knudsen, D., & Norrman, A. (2008). Assessing performance of supply chain risk management programmes: a tentative approach. International Journal of Risk Assessment and Management, 9 (3), 288-310.
[6]	Blackhurst, J., Craighead, C., Elkins, D., & Handfield, R. (2005). An empirically derived agenda of critical research issues for managing supply-chain disruptions. International Journal of Production Research, 43 (19), 4067-4081.
[7]	Canbolat, Y., Gupta, G., Matera, S., & Chelst, K. (2008). Analysing risk in sourcing design and manufacture of components and sub-systems to emerging markets. International Journal of Production Research, 46 (18), 5145-5164.
[8]	Cartensen, L. (2006). The Influence of a Sense of Time on Human Development. Science, 312 (5782), 1913-1915.
[9]	Cigolini, R., & Rossi, T. (2010). Managing operational risks along the oil supply. Production Planning and Control, 21 (5), 452-467.
[10]	Clayton, V. (1982). Wisdom and Intelligence: The Nature and Function of Knowledge in the Later Years. International Journal of Aging and Human Development, 15 (4), 315-321.
[11]	De Bono, E. (1990). Po: Beyond Yes and No. Intl Center for Creative Thinking.
[12]	Finch, P. (2004). Supply chain risk management. Supply Chain Management: An International Journal, 9 (2), 183-196.
[13]	Giddens, Α. (1990). The consequences of modernity. Stanford: CA: Stanford University Press.
[14]	Giunipero, L., & Eltantawy, R. (2004). Securing the upstream supply chain: A risk management approach. International Journal of Physical Distribution & Logistics Management, 34 (9), 698–713.
[15]	Hall, S. (2010). Wisdom: From Philosophy to Neuroscience. New York: Knopf.
[16]	Hallikas, J., Karvonen, I., Pulkkinen, U., Virolainen, V., & Tuominen, M. (2004). Risk management processes in supplier networks. International Journal of, 90 (1), 47-58.
[17]	Harland, C., Brenchley, R., & Walker, H. (2003). Risk in supply networks. Journal of Purchasing and Supply Management, 9 (2), 51-62.
[18]	Iakovou, Ε., Vlachos, D., & Xanthopoulos, A. (2010). A stochastic inventory management model for a dual sourcing supply chain with disruptions. International Journal of Systems Science, 41 (3), 315-324.
[19]	Knemeyer, A., Zinn, W., & Eroglu, C. (2009). Proactive planning for catastrophic events in supply chains. Journal of Operations Management, 27 (2), 141-153.
[20]	Manuj, I., & Mentzer, J. (2008). Global supply chain risk management strategies. International Journal of Physical Distribution and Logistics, 38 (3), 192-223.
[21]	Merleau-Ponty, M. (1962). Phenomenology of perception. London: Routledge.
[22]	Morin, E. (2017). Connaissance, ignorance, mystère. Fayard.
[23]	Noë, A. (2004). Action in perception. Cambridge: Mass: MIT Press.
[24]	Norrman, A., & Jansson, U. (2004). Ericsson’s proactive supply chain risk management approach after a serious sub-supplier accident. International Journal of Physical Distribution and Logistics Management, 34 (5), 434-456.
[25]	Oehmen, J., Ziegenbein, A., Alard, R., & Schonsleben, P. (2009). System-oriented supply chain risk management. Production Planning and Control, 343-361.
[26]	Pyke, D., & Tang, C. (2010). How to mitigate product safety risks proactively - Process, challenges and opportunities. International Journal of Logistics Research and Applications, 13 (4), 243-256.
[27]	Reed, SK (1982) Cognition: theory and applications. Brooks/Cole Publishing, Montery CA.
[28]	Roberts EB (ed) (1984) Managerial applications of system dynamics. MIT Press, Cambridge MA.
[29]	Robinson, K. (2011). Out of our minds: Learning to be creative. Oxford: Capstone.
[30]	Rosenfield, I. (1988). Invention Of Memory - A New View of the Brain. Basic Books.
[31]	Schoenherr, T., Rao Tummala, V., & Harrison, T. (2008). Assessing supply chain risks with the analytic hierarchy process: Providing decision support for the offshoring decision by a US manufacturing company. Journal of Purchasing and Supply Management, 14 (2), 100-111.
[32]	Sinha, P., Whitman, L., & Malzahn, D. (2004). Methodology to mitigate supplier risk in an aerospace supply chain. Supply Chain Management: An International Journal, 154-168.
[33]	Smith, M. (2009). Psychological Foundations of Supply Chain Risk Management. In R. B. Zsidisin G. A., Supply Chain Risk. International Series in Operations Research & Management Science (pp. 219-233). Boston, MA: Springer.
[34]	Spekman, R., & Davis, E. (2004). Risky business: Expanding the discussion on risk and the extended enterprise. International Journal of Physical Distribution and Logistics Management, 34 (5), 414–433.
[35]	Thun, J., & Hoenig, D. (2009). An Empirical Analysis of Supply Chain Risk Management in the German Automotive Industry. International Journal of Production Economics, 131 (1), 242-249.
[36]	Tuncel, G., & Alpan, G. (2010). Risk assessment and management for supply chain networks - A case study. Computers in Industry, 61 (3), 250-259.
[37]	Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: heuristics and biases. Science, 185 (415), 1124-1131.
[38]	VanderBok, R., Sauter, J., Bryan, C., & Horan, J. (2007). Manage your supply chain risk. Manufacturing Engineering, 153-161.
[39]	Wiendahl, H., Selaouti, A., & Nickel, R. (2008). Proactive supply chain management in the forging industry. Production Engineering, 2 (4), 425-430.
[40]	Wu, T., Blackhurst, J., & Chidambaram, V. (2006). A model for inbound supply risk analysis. Computers in Industry, 57 (4), 350-365.
[41]	Yang, Y. (2010). Impact of the container security initiative on Taiwan's shipping industry. Maritime Policy and Management, 37 (7), 699-722.

Cite This Article

Plain Text BibTeX RIS

APA Style

Athanasios Batsakidis, Alexander Tsigkas. (2023). Emerging Risk Knowledge System: An Interdisciplinary Approach of Emerging Risk in Supply Chain Management. American Journal of Operations Management and Information Systems, 7(4), 34-40. https://doi.org/10.11648/j.ajomis.20220704.12

Copy | Download

ACS Style

Athanasios Batsakidis; Alexander Tsigkas. Emerging Risk Knowledge System: An Interdisciplinary Approach of Emerging Risk in Supply Chain Management. Am. J. Oper. Manag. Inf. Syst. 2023, 7(4), 34-40. doi: 10.11648/j.ajomis.20220704.12

Copy | Download

AMA Style

Athanasios Batsakidis, Alexander Tsigkas. Emerging Risk Knowledge System: An Interdisciplinary Approach of Emerging Risk in Supply Chain Management. Am J Oper Manag Inf Syst. 2023;7(4):34-40. doi: 10.11648/j.ajomis.20220704.12

Copy | Download

@article{10.11648/j.ajomis.20220704.12,
  author = {Athanasios Batsakidis and Alexander Tsigkas},
  title = {Emerging Risk Knowledge System: An Interdisciplinary Approach of Emerging Risk in Supply Chain Management},
  journal = {American Journal of Operations Management and Information Systems},
  volume = {7},
  number = {4},
  pages = {34-40},
  doi = {10.11648/j.ajomis.20220704.12},
  url = {https://doi.org/10.11648/j.ajomis.20220704.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajomis.20220704.12},
  abstract = {This paper present and describe the Emerging Risk Knowledge System (ERKS) which offers solutions to manage effectively complex and unstable situations like emerging risks. Current knowledge is a base for developing new knowledge. However, developing a new Knowledge System (using an interdisciplinary approach) will help the managers to re-evaluate their risk environment. The world's volatility proves that an interdisciplinary understanding of the role of knowledge in the management of supply chain risk is needed. What makes wise-decisions so challenging is that they have to be trapped in the fog of doubt and uncertainty, clouding our ability to make-clear assessments. It is agreed that each situation regarding the supply chain risk is unique and the challenge is to develop an interdisciplinary approach that is meaningful in the practical context. The objective of ERKS is to “train-our-minds” to be more efficient-about-optimizing our decision-making ability. Building on three components (perception, tools, and experiences) that influence one another it develops a system that makes a manager capable of designing new ways of handling disruptions in supply chain management. It aims to provide him with the knowledge he need for his strategy.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Emerging Risk Knowledge System: An Interdisciplinary Approach of Emerging Risk in Supply Chain Management
AU  - Athanasios Batsakidis
AU  - Alexander Tsigkas
Y1  - 2023/01/10
PY  - 2023
N1  - https://doi.org/10.11648/j.ajomis.20220704.12
DO  - 10.11648/j.ajomis.20220704.12
T2  - American Journal of Operations Management and Information Systems
JF  - American Journal of Operations Management and Information Systems
JO  - American Journal of Operations Management and Information Systems
SP  - 34
EP  - 40
PB  - Science Publishing Group
SN  - 2578-8310
UR  - https://doi.org/10.11648/j.ajomis.20220704.12
AB  - This paper present and describe the Emerging Risk Knowledge System (ERKS) which offers solutions to manage effectively complex and unstable situations like emerging risks. Current knowledge is a base for developing new knowledge. However, developing a new Knowledge System (using an interdisciplinary approach) will help the managers to re-evaluate their risk environment. The world's volatility proves that an interdisciplinary understanding of the role of knowledge in the management of supply chain risk is needed. What makes wise-decisions so challenging is that they have to be trapped in the fog of doubt and uncertainty, clouding our ability to make-clear assessments. It is agreed that each situation regarding the supply chain risk is unique and the challenge is to develop an interdisciplinary approach that is meaningful in the practical context. The objective of ERKS is to “train-our-minds” to be more efficient-about-optimizing our decision-making ability. Building on three components (perception, tools, and experiences) that influence one another it develops a system that makes a manager capable of designing new ways of handling disruptions in supply chain management. It aims to provide him with the knowledge he need for his strategy.
VL  - 7
IS  - 4
ER  -

Copy | Download

Author Information

Athanasios Batsakidis

Department of Production and Management Engineering, Democritus University of Thrace, Xanthi, Greece
Alexander Tsigkas

Department of Production and Management Engineering, Democritus University of Thrace, Xanthi, Greece

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Athanasios Batsakidis, Alexander Tsigkas. (2023). Emerging Risk Knowledge System: An Interdisciplinary Approach of Emerging Risk in Supply Chain Management. American Journal of Operations Management and Information Systems, 7(4), 34-40. https://doi.org/10.11648/j.ajomis.20220704.12

Copy | Download

ACS Style

Athanasios Batsakidis; Alexander Tsigkas. Emerging Risk Knowledge System: An Interdisciplinary Approach of Emerging Risk in Supply Chain Management. Am. J. Oper. Manag. Inf. Syst. 2023, 7(4), 34-40. doi: 10.11648/j.ajomis.20220704.12

Copy | Download

AMA Style

Athanasios Batsakidis, Alexander Tsigkas. Emerging Risk Knowledge System: An Interdisciplinary Approach of Emerging Risk in Supply Chain Management. Am J Oper Manag Inf Syst. 2023;7(4):34-40. doi: 10.11648/j.ajomis.20220704.12

Copy | Download

@article{10.11648/j.ajomis.20220704.12,
  author = {Athanasios Batsakidis and Alexander Tsigkas},
  title = {Emerging Risk Knowledge System: An Interdisciplinary Approach of Emerging Risk in Supply Chain Management},
  journal = {American Journal of Operations Management and Information Systems},
  volume = {7},
  number = {4},
  pages = {34-40},
  doi = {10.11648/j.ajomis.20220704.12},
  url = {https://doi.org/10.11648/j.ajomis.20220704.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajomis.20220704.12},
  abstract = {This paper present and describe the Emerging Risk Knowledge System (ERKS) which offers solutions to manage effectively complex and unstable situations like emerging risks. Current knowledge is a base for developing new knowledge. However, developing a new Knowledge System (using an interdisciplinary approach) will help the managers to re-evaluate their risk environment. The world's volatility proves that an interdisciplinary understanding of the role of knowledge in the management of supply chain risk is needed. What makes wise-decisions so challenging is that they have to be trapped in the fog of doubt and uncertainty, clouding our ability to make-clear assessments. It is agreed that each situation regarding the supply chain risk is unique and the challenge is to develop an interdisciplinary approach that is meaningful in the practical context. The objective of ERKS is to “train-our-minds” to be more efficient-about-optimizing our decision-making ability. Building on three components (perception, tools, and experiences) that influence one another it develops a system that makes a manager capable of designing new ways of handling disruptions in supply chain management. It aims to provide him with the knowledge he need for his strategy.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Emerging Risk Knowledge System: An Interdisciplinary Approach of Emerging Risk in Supply Chain Management
AU  - Athanasios Batsakidis
AU  - Alexander Tsigkas
Y1  - 2023/01/10
PY  - 2023
N1  - https://doi.org/10.11648/j.ajomis.20220704.12
DO  - 10.11648/j.ajomis.20220704.12
T2  - American Journal of Operations Management and Information Systems
JF  - American Journal of Operations Management and Information Systems
JO  - American Journal of Operations Management and Information Systems
SP  - 34
EP  - 40
PB  - Science Publishing Group
SN  - 2578-8310
UR  - https://doi.org/10.11648/j.ajomis.20220704.12
AB  - This paper present and describe the Emerging Risk Knowledge System (ERKS) which offers solutions to manage effectively complex and unstable situations like emerging risks. Current knowledge is a base for developing new knowledge. However, developing a new Knowledge System (using an interdisciplinary approach) will help the managers to re-evaluate their risk environment. The world's volatility proves that an interdisciplinary understanding of the role of knowledge in the management of supply chain risk is needed. What makes wise-decisions so challenging is that they have to be trapped in the fog of doubt and uncertainty, clouding our ability to make-clear assessments. It is agreed that each situation regarding the supply chain risk is unique and the challenge is to develop an interdisciplinary approach that is meaningful in the practical context. The objective of ERKS is to “train-our-minds” to be more efficient-about-optimizing our decision-making ability. Building on three components (perception, tools, and experiences) that influence one another it develops a system that makes a manager capable of designing new ways of handling disruptions in supply chain management. It aims to provide him with the knowledge he need for his strategy.
VL  - 7
IS  - 4
ER  -

Copy | Download