ABSTRACT
Mental volatilities are seen to be on the rise when it comes to retail employees and consumers. Specifically, in times of crisis there is a need to be able to customise care management in a way that is coherent and comprehensive to address mental volatility. This customisation is sought in technology and people. However, thus far there is no toolkit for a specific crisis-sensitive care management protocol. We, therefore, build on an ADO framework-based, illustrative case study of three UK retailers wherein we derive and exemplify how mental burnout in a volatile environment becomes a very important care management necessity which has been neglected thus far. Further, we detail how to contend with this need and how there is a demand for customisation, comprehensiveness, and consistency. In this respect, we conceptualise a technology-people-integrated toolkit that can be implemented with immediate effect for retail care management. We detail the practicalities work in two scenarios. To conclude, managerial and theoretical implications of this toolkit and study have been detailed along with the paper's limitations and suggestions for future research. © 2023 Elsevier Ltd
ABSTRACT
The ongoing epidemic SARS-CoV-2 named Corona Virus Disease (COVID-19) is highly infectious and subsequently spread all over the world affecting millions of people. Humans have never seen such a deadly disease so far, and as there is no specific drug or vaccination, the mortality rate of the disease has been increasing exponentially. This current situation exacerbated people’s restlessness and fear. Because of this pandemic, the world is travelling on a different path. This world has recovered from many disasters, but this is entirely a different situation. Today’s world is struggling in many ways to get rid of this disease. On the other hand, the number of people recovering from this disease gives us comfort. Yet, we have to take urgent precautionary measures to control this disease in all possible ways. Therefore, forecasting is one of the ways to take the necessary precautionary measures. In this paper, using fuzzy–grey–Markov model, we predict the number of affected and recovered patient count, death count using real-time data in different approaches and compared with the real data. The study concludes with important recommendations for the Indian government to manage the COVID 19 critical situation in advance.
ABSTRACT
Purpose: This paper aims to determine new-normal uncertainty considerations stemming from the COVID-19 pandemic to consider within transaction-cost analysis for pharmaceuticals. It also aims to propose new-normal market entry strategies to address the uncertainty as a result of COVID-19's implications and provide for lack of knowledge and information in an uncertain business environment by way of Internet of Things (IoT) ecosystem for pharmaceutical market entry. Design/methodology/approach: In this paper, we focus on the uncertainty facet within transaction-cost analysis consideration and utilise a descriptive three-case study approach taking in Johnson and Johnson (J&J), GlaxoSmithKline (GSK) and Novartis to present an ADO (Antecedent-Decisions-Outcomes) understanding of their usual market entry approach, the approach undertaken during the pandemic and the outcomes thereafter facilitating new-normal uncertainty considerations to factor in. Further with this insight, we develop a conceptual framework addressing the transaction-cost analysis implications of uncertainties toward lack of knowledge and information for a new-normal market entry approach and operating strategy for pharmaceuticals applicable due to IoT (Internet of Things). Findings: Uncertainty (external and internal) is different now in the new-normal business environment for pharmaceuticals and boils down to acute shortage of knowledge and information impact to make an appropriately informed decision. Therefore, considering the changed factors to consider, pharmaceuticals need to be able to undertake market entry with vaccines and medicines by way of IoT thereby enabling, the filling of the gap via real-time data access and sharing, including enhancing predictive analysis for sustenance. Research limitations/implications: The paper's findings have many theoretical implications highlighted in the manuscript. Practical implications: The paper's findings have many practical implications highlighted in the manuscript. Originality/value: This is the first study to our knowledge that throws light on transaction-cost analysis theory's uncertainty facet for pharmaceuticals. It is also the first study that provides a new-normal market entry strategy for pharmaceutical companies built on interoperability of real-time IoT. © 2022, Emerald Publishing Limited.