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The purpose of this paper is to contribute to the academic research in the management field, by exploring banking strategies implemented during complex crises, with a focus on the recent pandemic. To improve the comprehension of the economic consequences of the COVID-19 pandemic we analyzed the differences between the crisis from 2008-2009 and the crisis induced by the pandemic. The banking system has always been at the center of the crises, both in 2008 and in the 1930s, but this time the situation is different because, now, we are facing a crisis that is related to systemic health issues. In the previous crises, banks were considered as part of the problem, but this time they are perceived as part of the solution. This approach increases the role of banks in the coronavirus crisis and the strategies adopted by banks influence the whole economy. The pandemic has changed the world economy entirely and impacted tremendously most businesses. The banking system plays an essential role in this situation because it is a key component from an economic point of view. In recent years, the banking system has adapted continuously – it has been reinvented to keep up with customer expectations and the need for cost reductions. The COVID-19 pandemic has accelerated digitalization in the banking system although, the need for innovation and digital strategies have been an important factor in banking even before the pandemic had started. We present furthermore an opinion based on a narrative literature review and a summary of the most important elements that redesign the banking system during the COVID-19 pandemic context. The literature regarding the COVID-19 pandemic and its implications for the banking system is still developing since the pandemic is an unfolding new experience for the world.

Healthcare marketing is one of the most interesting research domains due to the high complexity and legal regulations of the medical data on the one side and the large volume of data required by marketing processes on the other side. Current research proposes a solution of adapting a commonly used marketing process, recommendation to healthcare industry needs to healthcare industry. Optimization of the standard recommendation processes have been identified as the main point of adaptation due to the high volume of data available in healthcare systems along with the need of analyzing the complete set of available data. Caching results represents one of the most common optimization techniques used in software implementation and due to highly sensitivity of medical data appears to be non-applicable. This paper is making use of segmentation of data sets combining patient profiles in target groups that are to be passed to recommendation scenarios as input data allowing catching results for healthcare recommendation scenarios.

The main goal of network-connected machines is to improve the quality of lives in numerous ways: from speeding up traffic, reducing fuel consumption, saving lives, improving access to healthcare, down to making everyday life more convenient and interesting. The development will make possible to include a chip in everything, enabling the developers and innovators in diverse industries to collaborate and to drive the growth in connections. In this paper, we review the functionalities of the M2M ecosystem together with the standard models and explore the possibilities to use a specific connection management platform enabled by 3GPP mobile networks and utilizing OMA Lightweight M2M Enabler (LWM2M) for device management. Although this technology targets mainly constrained devices with low power and small amount of memory, it can be also utilized with powerful devices and sensors that can benefit from its efficient communication and strong security mechanisms. Being based on the very last standards in M2M communication there is no other documented approach or platform to set against.

The current paper proposes a smart sensor network based on femtocells to monitor patients with chronic diseases at their home. The main purpose of this network is to help elderly population with chronic diseases to spend less time in specialized institutions and reduce the costs significantly as certified employees will not be necessary.