Jelen tanulmányban a nyersanyag szektorban felmerülő friss diplomásokkal szemben támasztott munkaerőpiaci elvárásokat ismertetjük a COVID-19 járvány hatásaként megjelenő gazdasági visszaesés időszakában. Arra kerestük a választ, hogy a nyersanyag szektor munkaadói milyen elvárásokat támasztanak a friss diplomásokkal szemben és milyen kompetenciákkal kell rendelkezniük a végzett mérnököknek és közgazdászoknak. A kutatási kérdések megválaszolása érdekében kétfázású primer kutatást hajtottunk végre kvantitatív és kvalitatív módszerek alkalmazásával. A kérdőíves felmérés és a szakértői interjúk eredményei alapján megismerhetjük a nyersanyag szektor munkaadóinak elvárásait a friss diplomásokkal szemben.
A duális képzés célja, hogy a hallgatók kompetenciái minősített partnervállalatok segítségével kerüljön fejlesztésre. A cél elérése érdekében fontos tudni, hogy hogyan ítéli meg a munkaerőpiac a hallgatók kompetenciáit, illetve ahhoz, hogy a képzés versenyképes maradjon fontos, megismerni, hogy milyen jövőbeli elvárásokkal kell szembenéznie a duális képzésben résztvevőknek, milyen kompetenciákra lesz szükség az elkövetkezendő években. A kérdések megválaszolására készült felmérés célja a duális képzésben résztvevőkkel szemben támasztott munkaerő-piaci igények prognosztizálása. A felmérés alapján láthatóvá válik, hogy melyek azok a kompe-tenciák, amik fejlesztésében a vállalatok nagyobb szerepet tudnak vállalni, illetve melyek azok, amelyek fejlesztésében a partnerek nem tudnak segíteni, azonban mindenképpen szükség van rá, így ebben az esetben a fejlesztés feladata az oktatási intézményre hárul.
The aim of the study is to map the segmentation expectations of the marketers and then draw a unified conclusion regarding the segmentation and targeting options in the advertising system of the most popular online platforms in Hungary. When and in what way did the advertising platform meet or fail to meet segmentation expectations. The question was when and how the advertising platform meets or fails to meet segmentation expectations. According to the secondary data, the most used social media platforms and advertising systems were determined. Then, in the Google search engine filtered research was started for all targeting options, which are listed in Table No. 1. with different keywords and search terms in English and Hungarian. The filtering included an annual time interval from the publication date of each platform. Last, the websites were reviewed in the hit list from which a conclusion could be drawn about the relationship between the platform and the targeting option available at a given time. The examination took place on 21st April, 2022. It can be stated that all systems have very different results and segmentation focus. Google's advertising uses a unique colour system with keywords that does not exist on other platforms, and outperformed competition from social media platforms Facebook and LinkedIn in the 2nd year after TikTok's launch. The researchers' goal was to inform practitioners and theorists first about the applicable methods and second about the expected changes based on the knowledge of this data. The protection of personal data, which is becoming increasingly important in advertising systems, as well as the growing awareness of consumers and the user-friendly attitude of some manufacturers (Apple- IOS) are together leading to a re-evaluation of the systems. Already, the management of individual customer data is being revised and replaced, and new, similar target groups are being created instead. The profile used by machine learning for tagging will remain, but the ability to identify individual consumers will be lost. More data upgrades are expected in the future, which could lead to changes in segmentation capabilities. The number of sources used in research is high, but gaps can occur even with a systematic review. Advertising systems create and manage segmentation and targeting options without an officially published document, so changes in the system can only be determined using secondary data. Further continuous systematic research is needed in order to identify the changes. This summary has been prepared by the researchers with the utmost care and summarizes the segmentation habits, knowledge and evolution over time of theoretical and practical marketing. This paper contributes to identify and study the segmentation practice in digital marketing.
In today’s globalized world the socio-economic role of cities is decisive, therefore they have become one of the most important scenes where responses are given to the complex challenges facing our society. For a city to be successful and competitive, it is necessary to strengthen its flexible resistance, in other words, its resilience. For this purpose, efficient steps could be taken, benefiting from the results of digitization and Industry 4.0, by using smart applications and developments. Nowadays, smart city development and the application of smart/intelligent technologies are gaining an increasing focus in the development of a city. In our study we present the partial results of a primary quantitative research that we conducted in 2019 among the inhabitants of the City of Miskolc, in the age group of 20-64 years. With the help of a questionnaire survey, we were looking for the main focus points that should be given priority in urban smart developments according to the inhabitants’ opinion. Currently, Miskolc is at a medium level in terms of available smart cities technologies – in the inhabitants’ view. According to the opinion of the inhabitants of Miskolc it would be of outstanding importance to introduce smart solutions in the health care, education, safety and fire protection, environmental protection and air pollution.
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