Travel bubble policies for low-risk air transport recovery during pandemics.

Global pandemics restrict long-haul mobility and international trade. To restore air traffic, a policy named "travel bubble" was implemented during the recent COVID-19 pandemic, which seeks to re-establish air connections among specific countries by permitting unrestricted passenger travel without mandatory quarantine upon arrival. However, travel bubbles are prone to bursting for safety reasons, and how to develop an effective restoration plan through travel bubbles is under-explored.

Sustainable successes in third-party food delivery operations in the digital platform era.

In the digital era, third-party food delivery operations are very popular all around the world. However, to achieve a sustainable operation for food delivery businesses is a challenging issue. Motivated by the fact that there is a lack of consolidated view towards the topic in the literature, we conduct a systematic literature review to identify how to achieve a sustainable operation for third-party food delivery and highlight the recent advances in this important area with the discussion of real-world practices.

Risk management for second-hand clothing imports in least developed countries: Legislations and perception of public-sector corruption.

The second-hand clothing imports are very popular in the least developed countries (LDCs). The social health risk (SHR) associated with second-hand clothing products and the lack of relevant legislations in LDCs, however, bring substantial challenges. This article is therefore developed to explore the sterilization legislation design for second-hand clothing supply chains in LDCs.

How COVID-19 pandemic has shaped buyer-supplier relationships in engineering companies with ethical perception considerations: A multi-methodological study.

In business-to-business (B2B) operations, prior studies have mainly explored transaction-based relationships with both buyers and suppliers opportunistic behaviors, driven largely by their intent to maximize their own benefits. These studies have also found that dependency on partners increases when supply materials are scarce. However, research is scant on how this relationship changes in the face of exogenous forces such as the COVID-19 pandemic, keeping in mind the ethical perception considerations.

Values of blockchain for risk-averse high-tech manufacturers under government's carbon target environmental taxation policies.

Today, high-tech industries such as consumer electronics commonly face government rules on carbon emissions. Among the rules, carbon emission tax as well as extended producer responsibility (EPR) tax are two important measures. Using blockchain, the policy makers can better determine the carbon target environmental taxation (CTET) policy with accurate information.

Examining collaborative buyer-supplier relationships and social sustainability in the "new normal" era: the moderating effects of justice and big data analytical intelligence.

The COVID-19 pandemic has resulted in a slew of new business practices that have put the society and environment under strain. This has drawn the attention of supply chain researchers working to address the COVID-19 pandemic's looming social sustainability issues. Prior literature has indicated that collaborative relationships improve organizational performance.

Mining voices from self-expressed messages on social-media: Diagnostics of mental distress during COVID-19.

The COVID-19 pandemic has had a severe impact on mankind, causing physical suffering and deaths across the globe. Even those who have not contracted the virus have experienced its far-reaching impacts, particularly on their mental health. The increased incidences of psychological problems, anxiety associated with the infection, social restrictions, economic downturn, etc.

Seeking survivals under COVID-19: The WhatsApp platform's shopping service operations.

Under COVID-19 outbreak, retail operations are seriously threatened. There are lots of cases in which physical stores basically have to stop operating. This creates problems to the firm, its employees, and consumers.

Infection vulnerability stratification risk modelling of COVID-19 data: a deterministic SEIR epidemic model analysis.

Basic Susceptible-Exposed-Infectious-Removed (SEIR) models of COVID-19 dynamics tend to be excessively pessimistic due to high basic reproduction values, which result in overestimations of cases of infection and death. We propose an extended SEIR model and daily data of COVID-19 cases in the U.S.

How small-and-medium transportation companies handle asymmetric customer relationships under COVID-19 pandemic: A multi-method study.

The COVID-19 outbreak has created major challenges for transportation companies. Grounded in the dynamic capabilities view theory, this paper adopts a multi-methodological operations management approach to derive scientifically sound insights with regard to handling key customer relationships in the crisis. To be specific, first, qualitative interviews with representatives of small carriers and forwarders as well as an examination of their social media posting are conducted.

Blockchain technology in supply chain operations: Applications, challenges and research opportunities.

Blockchain is a technology with unique combination of features such as decentralized structure, distributed notes and storage mechanism, consensus algorithm, smart contracting, and asymmetric encryption to ensure network security, transparency and visibility. Blockchain has immense potential to transform supply chain (SC) functions, from SC provenance, business process reengineering to security enhancement. More and more studies exploring the use of blockchain in SCs have appeared in recent years.

Competitive pricing of substitute products under supply disruption.

There has been an increased interest in optimizing pricing and sourcing decisions under supplier competition with supply disruptions. In this paper, we conduct an analytical game-theoretical study to examine the effects of supply capacity disruption timing on pricing decisions for substitute products in a two-supplier one-retailer supply chain setting. We investigate whether the timing of a disruption may significantly impact the optimal pricing strategy of the retailer.

A United Nations' Sustainable Development Goals perspective for sustainable textile and apparel supply chain management.

Motivated by United Nations' Sustainable Development Goals (SDGs) and the importance of sustainability, this study examines how the textile and apparel (TA) supply chains can comply with the SDGs. By examining the literature as well as industrial practices, we show that the current sustainable operations in TA industry are far away from realizing the goals of economic growth going hand-in-hand with the social and environmental sustainability. For instance, among the SDGs, the goals of "", "", and "" receive a considerable amount of attention, while goals of "", "", "" and "" have the least attention.

Innovative "Bring-Service-Near-Your-Home" operations under Corona-Virus (COVID-19/SARS-CoV-2) outbreak: Can logistics become the Messiah?

The corona virus (COVID-19/SARS-CoV-2) outbreak has created serious disruptions to many business operations. Among them, many service operations, which require customers to travel and visit a place indoor, become almost infeasible to run in a crowded city like Hong Kong. Motivated by a recent reported real case on an innovative service operation in Hong Kong, we build analytical models to explore how logistics and technologies together can transform the "static service operations" to become the "bring-service-near-your-home" mobile service operations.

Advances in Risk Analysis with Big Data.

With cloud computing, Internet-of-things, wireless sensors, social media, fast storage and retrieval, etc., organizations and enterprises have access to unprecedented amounts and varieties of data. Current risk analysis methodology and applications are experiencing related advances and breakthroughs.

Recent Development in Big Data Analytics for Business Operations and Risk Management.

"Big data" is an emerging topic and has attracted the attention of many researchers and practitioners in industrial systems engineering and cybernetics. Big data analytics would definitely lead to valuable knowledge for many organizations. Business operations and risk management can be a beneficiary as there are many data collection channels in the related industrial systems (e.

Optimal Bi-Objective Redundancy Allocation for Systems Reliability and Risk Management.

In the big data era, systems reliability is critical to effective systems risk management. In this paper, a novel multiobjective approach, with hybridization of a known algorithm called NSGA-II and an adaptive population-based simulated annealing (APBSA) method is developed to solve the systems reliability optimization problems. In the first step, to create a good algorithm, we use a coevolutionary strategy.

A neuro-fuzzy inference system through integration of fuzzy logic and extreme learning machines.

This paper investigates the feasibility of applying a relatively novel neural network technique, i.e., extreme learning machine (ELM), to realize a neuro-fuzzy Takagi-Sugeno-Kang (TSK) fuzzy inference system.