The COVID-19 pandemic forced the closure of educational institutions worldwide and put academic schedules in danger. Most educational institutions have turned to online learning platforms to maintain academic activities. But the issues surrounding the readiness, design, and effectiveness of e-learning remain unclear. It is still not precisely understood, especially for a developing nation like India, where technological challenges like device appropriateness and bandwidth availability present significant difficulties. Through an online survey of 152 students, this study aims to investigate how students perceive and enjoy online learning. To create an efficient online learning environment, we also investigated the variables affecting students' motivation levels for online classes. According to the students, while internet connectivity challenges in rural locations make it difficult to take advantage of online learning programs, the flexibility and convenience of online classes make them an appealing option. The insights from this article can help build the curriculum for the new normal in agricultural education systems, where switching totally to online mode may not be practical and a hybrid medium is advised.
Smart health care depends heavily on a resilient and strong digital infrastructure. Telemedicine, Electronic Health Records (EHR), Fitness Trackers, Wearable Devices that monitor Heart Rate, Steps, Sleep Cycle and many other digital health-related measures are already used as indicators of what a future system of health technology will look like. The purpose of this paper is to examine the existing research studies to determine if it is possible to forecast health based on the data available from such devices. Further, in the Indian context, where Unique Health ID is already being implemented, this paper aims to extend the functionality of the UHID and analyze the viability of integrating the UHID with data sources for predicting health. Predicting and forecasting health will benefit all stakeholders in the healthcare ecosystem. Accurate disease forecasting models would be extremely helpful for epidemic and pandemic prevention and control. This research examines the potential for health forecasting and the challenges associated with its development.
BACKGROUND/OBJECTIVE: In today’s volatile business environment, the competitive advantages of firms are temporary. The top management does not, and cannot, have all the answers to increasingly complex and rapidly changing problem situations facing their firms. Since the COVID-19 crisis, organizations have been under pressure to improve their knowledge management practices to continue creating value. Knowledge management capabilities are essential for business performance and competitive advantage. In order to ensure continuous value creation, we conducted research to identify various drivers and dimensions that were revitalized in the ongoing KM practices post-pandemic. METHODOLOGY: In this study, 81 research papers published between January 2010 and March 2022, have been examined from a knowledge management, human capital, and value creation perspective, aiming to understand how a firm can continue to create value before, during, and after the pandemic. RESULTS/CONCLUSION: Our review identifies critical factors in knowledge management and value creation and how companies generate value by leveraging KM during the COVID-19 pandemic. As a result of the research, the authors describe their findings in the form of a conceptual framework which deals with the various drivers and the factors within the KM architecture.
BACKGROUND: In order to gain a competitive advantage or survive, organizations need to reorient themselves once in a while, and in distress tend to rely on turnaround strategies. The organization must ensure that the turnaround strategy implemented is effective. OBJECTIVE: This study explores and investigates the implementation of turnaround strategies during a crisis by manufacturing firms with the help of a conceptual model combining turnaround strategies and McKinsey’s 7s framework as the mediating variables. METHODS: A questionnaire comprising 35 questions was circulated amongst the employees of various manufacturing firms operating in India and 230 data samples were collected. RESULTS: The findings of this study indicate that manufacturing firms tend to implement turnaround strategies in the form of Operational, Financial, Leadership, Structural and Strategic methods for their survival and reorientation. Additionally, turnaround strategies and strategic reorientation variables of the McKinsey 7s framework showed a significant relationship through a set of Hard S and Soft S.
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