Hult International Business School

Blockchain technologies have a decentralized and secure approach toward managing sensitive healthcare data to enhance interoperability among healthcare providers while ensuring improved privacy. It provides, in practice, patient-controlled data access so that data integrity can be ensured. It can change how healthcare data management systems are operated. This study looks into the transformative potential of blockchain technology in healthcare, especially regarding its capacity for protecting sensitive patient data, enhancing privacy, and transparency across different healthcare systems. This decentralized and tamper-resistant structure presented by blockchain gives a new way to manage health data, minimizing risks in unauthorized access, data breaches, and interoperability failures. This review has focused on the types and features of blockchain technology, layered architecture, and relevant protocols to healthcare applications. The analysis includes crucial application areas, such as the protection of patient records, feasible sharing of data for healthcare studies, and automatic access through permitted patients. This review focuses on permissioned blockchain models, offering controlled access designed to scale and fit the regulatory landscape of healthcare. While blockchain promises tremendous benefits in creating an equitable health data ecosystem, it also offers challenges, such as scalability, strict compliance with privacy laws, and standardized protocols in adoption. It refers to blockchain technology as an emerging technology that can transform the health data management space, discussing opportunities and problems relating to its use in future healthcare. The opportunities and problems associated with the usage of blockchain in future healthcare are discussed.

Bevezetés: A fesztiválok gépjárművel történő megközelítése, a fesztivál környezetében biztosított parkolás és a környék közlekedésbiztonsága a fesztiválturizmus biztonsága szempontjából egy külön vizsgálandó, de nagy figyelmet igénylő területet. Célkitűzés: A rendezvényekre egy időben, gépjárművekkel érkező tömegek, a nem megfelelő közlekedési megoldások esetén, olyan problémákat tudnak okozni, amelyek jelentős kihatással vannak a környék közlekedésbiztonsági helyzetére, a látogatók és az ott élők hangulatára, előítéleteire. A nem megfelelő közlekedésbiztonsági intézkedések esetén a vártnál nagyobb, esetleg hosszasan feloldhatatlan torlódások alakulhatnak ki, és ez jelentősen megnehezítheti a környéken élők, az arra közlekedők és szükség esetén a hatóságok – mentők, tűzoltók, rendőrség – szabad mozgását. Tanulmányomban a 2024. évben megtartott OZORA fesztivál során kialakult, a közlekedés biztonságát befolyásoló körülményeket mutatom be. Módszertan: Kutatásom kvalitatív és kvantitatív adatgyűjtésen, valamint szakirodalmi feldolgozáson alapul. Az OZORA fesztivál helyszínén, a rendőrség, a szervező és a civil biztonság szakembereinek személyes egyeztetésén terepkutatást és adatgyűjtést végeztem. A téma részletes megismerése érdekében interjút készítettem a fesztivált szervezőkkel, valamint a biztosításban részt vevő rendőri vezetőkkel, továbbá figyelembe vettem az általam készített, a fesztivállátogatóktól felvett internetes kérdőív közlekedésbiztonságot célzó kérdéseire adott válaszok eredményét is. Eredmények: A tanulmány kutatási eredményei alapján megállapítható, hogy a nem jól vagy a későn kezelt közlekedési szituációk jelentős problémákat tudnak okozni egy adott fesztivál közlekedésbiztonságának szempontjából. Elmondható, hogy a közönség jelentős része közel egy időben gépkocsival érkezik a fesztivál területére, és közel egy időben is kívánja azt elhagyni, ezért kiemelendő a megfelelő közlekedésbiztonság kooperatív megteremtése. Konklúzió: A rendőrség, a szervező és a biztosításért felelős civil biztonsági szakemberek között a folyamatos kommunikáció erős és megfelelő alapot teremt a problémák azonnali felismerésére és feloldására, de a rendőrség szakhatósági előírásai és azok ellenőrzése a szervezőt olyan, a jövőt érintő intézkedések bevezetésére késztetik, amelyek tovább fokozzák a fesztivál biztonságát.

This paper outlines several cycles of first- and second-person inquiry that explore how two doctoral candidates developed reflexive capacity-in-action. We illustrate the essential developmental shifts we experienced while facilitating research co-inquiry groups, offering a joint reflection through the theoretical lens of shifting and loosening habitual patterns. We explore how habitus and implicit relational patterns serve as blueprints for how we engage with and co-construct our social and organisational realities. Building on Collaborative Developmental Action Inquiry practices, we exemplify how research-practitioners can become aware of personal and cultural habituations that shape and constrain what we can hold in our awareness at any given moment. We present several cycles of reflection both in, and on action, beginning with our experiences as initiators of an Action Inquiry Group during our doctoral programme and the challenges we faced in extending this quality of inquiry beyond the research paradigm. Ultimately, we found that as action researchers, the specific practices described in this paper equipped us to better uphold the qualities of mutuality, integrity, and sustainability in collaborative projects within conventional contexts.

This study explores the concept of luxury through the lens of sustainability, questioning conventional interpretations and promoting a broader comprehension of luxury’s compatibility with sustainability. It also explores the potential positive effects of luxury consumption and production at various scales—individual (micro), industry (meso), and environment (macro). This research, adopting a positive theory approach and aligning with the transformative luxury research (TLR) stream, proposes a novel framework termed “positive luxury.” This framework, informed by consumer insights, introduces additional pillars of sustainable practices in the luxury sector that yield positive impacts. These pillars encompass ecological, social, and economic aspects, as well as ethical governance, supply chain integrity, philanthropy, well-being, and diversity, equality, and inclusion (DEI). The findings underscore the significance of a consumer-centered perspective and reveal the nuanced positive impacts that consumers perceive from each of these pillars. Furthermore, the study advances existing works by classifying sustainable pillars into either “core” or “incipient” qualities, while responding to the TLR stream’s call for a focus on well-being outcomes. The findings have implications for policymakers and luxury businesses alike, offering potential directions for future research.

ABSTRACT Brain drain has received great amount of attention over Italy’s economic slowdowns, leading people to visit the social media platforms, generate word-of-mouth, and are more attached to the issue by subsequently indicating that they like the comment. This study focuses on how different platforms influence user sentiment and drive engagement. We find that emotional platform (Instagram, Twitter) fulfills the social interaction needs, leading to express their engagement. Informative platforms (YouTube and TikTok) enhance fact checking and verification, thus sentiments are less associated with engagement. The empirical results find the brain drain sentiment polarity distribution also varies with the platform categories. Based on these insights, strategic recommendations are provided for Italy to leverage social media to foster positive sentiment, encourage constructive discourse, shape the engagement, and ultimately mitigate the brain drain by attracting talent back to the country.

The COVID-19 pandemic marked a before and after in the business world, causing a growing demand for applications that streamline operations, reduce delivery times and costs, and improve the quality of products. In this context, artificial intelligence (AI) has taken a relevant role in improving these processes, since it incorporates mathematical models that allow analyzing the logical structure of the systems to detect and reduce errors or failures in real-time. This study aimed to determine the most relevant aspects to be considered for detecting software defects using AI. The methodology used was qualitative, with an exploratory, descriptive, and non-experimental approach. The technique involved a documentary review of 79 bibliometric references. The most relevant finding was the use of regression testing techniques and automated log files, in machine learning (ML) and robotic process automation (RPA) environments. These techniques help reduce the time required to identify failures, thereby enhancing efficiency and effectiveness in the lifecycle of applications. In conclusion, companies that incorporate AI algorithms will be able to include an agile model in their lifecycle, as they will reduce the rate of failures, errors, and breakdowns allowing cost savings, and ensuring quality.

Drone food delivery has a large possibility of being welcomed by businesses as it provides benefits that traditional delivery methods dont have. Such as reduced reliance on manpower and sunk cost, and improved customer satisfaction. Our study aims to measure the adoption and attitudes of consumers toward drone food delivery technology in order to help us assess the feasibility and effectiveness of the service. The study found that privacy has a huge negative impact on consumer attitudes towards drone delivery. However, the Green image had a significant positive effect. People in rural areas pay more attention to the performance of drones than those in cites. At the same time, the research result can be used to analyse the future of the drone food delivery industry and commercial plans prepared for companies.