Determinants of Decision Making Under a Decentralized Regulatory Environment: A Case Study of the Asbestos Hazards Emergency Response Act (AHERA)

This paper presents a pilot research of approaches taken by European Union (EU) Member States (MSs) in the emergency response to the COVID-19 crisis in pre-tertiary education. It includes a multi-case study of four MSs, examining their education systems’ digital readiness and “fitness for change”, as well as decision-making practices. We use the Cynefin framework of decision contexts to explore different paths in shifting from chaos to complexity. The preliminary findings of this research indicate that a factor positively influencing education systems’ response was not exclusively their digital readiness, but also “fitness” in terms of ongoing reforms and preparedness for change. The findings also suggest that MSs generally continued with their usual decision-making practices, with tendencies towards centralisation of crucial decisions, which is in line with the Cynefin framework, arguing for stronger leadership in chaotic contexts.

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Improving emergency response operations in maritime accidents using social media with big data analytics: a case study of the MV Wakashio disaster

International Journal of Operations & Production Management ◽

10.1108/ijopm-12-2020-0900 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Carine Dominguez-Péry ◽

Rana Tassabehji ◽

Lakshmi Narasimha Raju Vuddaraju ◽

Vikhram Kofi Duffour

Keyword(s):

Decision Making ◽

Social Media ◽

Big Data ◽

Emergency Response ◽

Early Warning System ◽

Data Analytics ◽

Big Data Analytics ◽

Warning System ◽

Content Type

PurposeThis paper aims to explore how big data analytics (BDA) emerging technologies crossed with social media (SM). Twitter can be used to improve decision-making before and during maritime accidents. We propose a conceptual early warning system called community alert and communications system (ComACom) to prevent future accidents.Design/methodology/approachBased on secondary data, the authors developed a narrative case study of the MV Wakashio maritime disaster. The authors adopted a post-constructionist approach through the use of media richness and synchronicity theory, highlighting wider community voices drawn from social media (SM), particularly Twitter. The authors applied BDA techniques to a dataset of real-time tweets to evaluate the unfolding operational response to the maritime emergency.FindingsThe authors reconstituted a narrative of four escalating sub-events and illustrated how critical decisions taken in an organisational and institutional vacuum led to catastrophic consequences. We highlighted the specific roles of three main stakeholders (the ship's organisation, official institutions and the wider community). Our study shows that SM enhanced with BDA, embedded within our ComACom model, can better achieve collective sense-making of emergency accidents.Research limitations/implicationsThis study is limited to Twitter data and one case. Our conceptual model needs to be operationalised.Practical implicationsComACom will improve decision-making to minimise human errors in maritime accidents.Social implicationsEmergency response will be improved by including the voices of the wider community.Originality/valueComACom conceptualises an early warning system using emerging BDA/AI technologies to improve safety in maritime transportation.

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Blockchain in Supply Chain: Case Study of Lottemart Ciputat

ACMIT Proceedings ◽

10.33555/acmit.v5i1.73 ◽

2019 ◽

Vol 5 (1) ◽

pp. 38-49 ◽

Cited By ~ 1

Author(s):

B. K. Handoyo ◽

M. R. Mashudi ◽

H. P. Ipung

Keyword(s):

Decision Making ◽

Supply Chain ◽

Supply Chain Management ◽

Information Asymmetry ◽

New Technology ◽

Business Case ◽

Analysis Method ◽

Chain Management ◽

Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

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