Data driven flexible supplier network of selfcare essentials during disruptions in supply chain.

During disruptive events, supply chains struggle to meet the demand due to limitations posed by logistics, transportation and supply side failures. In the present study, a flexible supplier network of personal protective equipment (PPEs), such as face masks, hand sanitizers, gloves, and face shields, has been modelled using an extensive risk enabled data driven decision making for addressing disruptions in the supply chain. This paper studies various risks which exists in PPE supply chain and evaluates the total supplier risk based on them.

The interplay of personality traits and motivation in leisure travel decision-making during the pandemic.

COVID-19 has negatively affected the travel and tourism industry and may continue to do so in the future. Therefore, hospitality businesses need to pay attention to consumer reactions, concerns, and motives for travelling in this era. This study leverages the stimulus-organism-behaviour-consequence (SOBC) model to examine psychological factors that influence Japanese travellers' intention to travel and willingness to pay premiums for safe travel by analysing data from 790 respondents.

The role of pharmaceutical industry in building resilient health system.

Objectives: This study explores the interrelationship among the current sustainability agenda of the pharmaceutical industry, based on the United Nation sustainable development goals (SDGs), the elements of the Joint External Evaluation (JEE) tool, and the triad components of the One Health approach.

Methods: A cross-walk exercise was conducted to identify commonalities among SDGs, JEE assessment tool, and One Health approach. An in-depth study of 10 global pharmaceutical firms' corporate sustainability reports and COVID-19 response plan for 2019-2020 was also conducted.

Managing healthcare supply chain through artificial intelligence (AI): A study of critical success factors.

Healthcare is one of the most critical sectors due to its importance in handling public health. With the outbreak of various diseases, more recently during Covid-19, this sector has gained further attention. The pandemic has exposed vulnerabilities in the healthcare supply chain (HSC).

Emergency order allocation of e-medical supplies due to the disruptive events of the healthcare crisis.

The availability of electronic (e-medical) homecare essentials, such as thermometers, oximeters, and oxygen concentrators during the peaks of the pandemic coronavirus disease (COVID-19), has been witnessed as critical in saving the lives of people across the world. This paper presents a supply order allocation strategy of e-medical homecare essentials (HCEs) in a multi-supplier environment by a distributor while ensuring sufficient and timely availability for emergency consumption during pandemic peaks. The results, based on the actual demand data of HCEs obtained from a regional HCE distributor during the pandemic peak of the second wave in India, i.

Factors impacting behavioural intentions to adopt the electronic marketplace: findings from small businesses in India.

The pandemic has accelerated e-commerce adoption for both consumers and sellers. This study aims to identify factors critical to the adoption of electronic markets (EM) during the pandemic, from the perspective of small sellers in non-metro cities. The research design utilizes core dimensions of the UTAUT model and selected constructs from protection motivation theory; since business closure vulnerability also triggers electronic market adoption.

Implications for sustainable healthcare operations in embracing telemedicine services during a pandemic.

Technological interventions in the healthcare sector, namely, telemedicine services, have helped the government and people in these extraordinarily challenging times of ongoing COVID-19 pandemic. We identify and group key success factors relevant to telemedicine services under 7 contextual criteria. Furthermore, we explore the causal relations among them using the decision-making trial and evaluation laboratory (DEMATEL) method.

Personality and travel intentions during and after the COVID-19 pandemic: An artificial neural network (ANN) approach.

The tourism sector has been deeply ravaged by the COVID-19 pandemic as many individuals abstained entirely from travel. Thus, before contemplating the trajectory of the sector's recovery, it is essential to understand individuals' travel intentions both during and after the pandemic. The present study contributes in this regard by examining the impact of individuals' personality traits categorised by the five-factor model, or the Big Five, on their leisure travel intentions during and after the pandemic.

Assessment of Patient Satisfaction with Generic Medication in Emerging Economy Using the Treatment Satisfaction Questionnaire for Medication.

The purpose of this study was to explore the factors influencing patient satisfaction with generic medication in India using the treatment satisfaction questionnaire for medication (TSQM) scale. This study proposed a set of hypotheses that were tested using structural equation modeling (SEM). This study was based on primary data collected from 542 sample respondents using the judgmental sampling method.

Role of effective crisis communication by the government in managing the first wave Covid-19 pandemic - A study of Kerala government's success.

Effective crisis communication is critical for successful crisis management. The current study is an attempt to unravel the public communication efforts of the Kerala government in its successful Covid-19 crisis management efforts during the first wave of the pandemic. The findings of the study indicate that the government has successfully used pre-crisis communication to inoculate the stakeholders, 'steal thunder', and bolster their crisis management capabilities.

Selection of healthcare waste disposal firms using a multi-method approach.

The aim of this study is to propose a hybrid multi criteria decision making model with a linear programming (LP) model to tackle the issue of safe disposal of hazardous and infectious healthcare waste. For this, ten criteria in this study have been identified from literature and field surveys which are modelled using Decision making trial and evaluation (DEMATEL) and Analytic network process (ANP) methods to select the best disposal firm i.e.

The Resurgence of Cyber Racism During the COVID-19 Pandemic and its Aftereffects: Analysis of Sentiments and Emotions in Tweets.

Background: With increasing numbers of patients with COVID-19 globally, China and the World Health Organization have been blamed by some for the spread of this disease. Consequently, instances of racism and hateful acts have been reported around the world. When US President Donald Trump used the term "Chinese Virus," this issue gained momentum, and ethnic Asians are now being targeted.

Assessing enablers of e-waste management in circular economy using DEMATEL method: An Indian perspective.

With increasing population, excessive use of electrical and electronic products and extreme demand of resources have compelled the linear economy to transform into Circular Economy (CE). In the current scenario, e-waste management has become the top priority of all the developed and developing nations especially those in the transition phase. The generation of e-waste has increased proportionally across the world and created an intense pressure on the firms to implement sustainable practices to redesign and recycle the products.

Examining the influence of health insurance literacy and perception on the people preference to purchase private voluntary health insurance.

Most studies have associated "un-affordability" as a plausible cause for the lower take-up of private voluntary health insurance plans. However, others refuted this claim on the pretext that when people can afford "inpatient-care" from pocket then insurance premium cost is far less than those payments. Thus, economic factors remain insufficient in clearly explaining the reason for poor private voluntary health insurance take-up.

An interpretive structural modeling (ISM) and decision-making trail and evaluation laboratory (DEMATEL) method approach for the analysis of barriers of waste recycling in India.

Unlabelled: Increasing amount of wastes is posing great difficulties for all countries across the world. The problem of waste management is more severe in developing countries such as India where the rates of economic growth and urbanization are increasing at a fast pace. The governments in these countries are often constrained by limited technical and financial capabilities, which prevent them from effectively addressing these problems.