Open Access

Precedent research in human resources management has put forward the challenges of recognizing the appropriate methods to unlock employees’ potential. However, it has been proven that leaders and managers can establish a culture where employees can unlock their potential with the proper understanding of neuroscience and emotional intelligence. This research has shown that cognitive skills, which are necessary for a good job performance, can be further developed due to neuroplasticity. Furthermore, understanding human needs and emotions can help people improve their work and life experience. This research also studies the relationship between employees’ well-being and job performance. Moreover, how emotional intelligence influences the company’s working atmosphere with its staff will be, with the support of literature research, thoroughly investigated and further analysed. Based on findings of various studies, attributes such as empathy, compassion, and kindness play a predominant role and indicate an underlying connection between motivation and job performance. All in all, questions such as how health impacts job performance and how neuroscience research and understanding human emotions shift the approach to motivating people will be further discussed. This research also questions what attributes a company leader should have to build trust with the employees and encourage them to work better. Therefore, this research takes a closer look into the exemplary leadership approach and explains why communication and purpose in the company matter when unlocking human potential. In addition, it highlights the effect of experiencing stress and fear at work and the remarkable impact of positive emotions such as kindness, gratitude, and compassion. Thus, with this understanding, this research acknowledges profoundly the positive influence of having a trustworthy and empathetic leader in the company. It fundamentally shows that working in a healthy and inclusive working culture, where psychological safety is ensured, one can, in fact, unlock the potential of employees to work better and feel good about themselves.

The impact of store atmosphere elements on the purchase behaviour and emotions of customers has an important significance in modern marketing. How to design and conceptualize a store atmosphere in such a way that it provides an unforgettable experience for the customer and entices him or her to arouse an interest in the store environment is one of the most fundamental concerns merchants and marketers must ask and think through these days – likewise, the role of culture in connection with store atmosphere is necessary to understand. The goal of this paper is to answer the question on how behavioural and emotional responses to store atmospheric elements such as visual, aural, olfactory, tactile, social, exterior design, interior design and layout & design differ across individualist and collectivist cultures. A cross-cultural analysis between Germans and non-Germans is made in respect to the posed question. A quantitative online survey was conducted, in which a total of 99 valid participants took part, of which 57 were Germans and 42 were non-Germans. This research extended the study of Barros et al. (2019) and added two more separate store atmospheric elements which are the general exterior design and the general interior design. The data was then analyzed, and the findings were ultimately presented. The findings showed that overall store atmosphere elements have similar emotional and behavioural effects on individualist and collectivist cultures with the exception of the general exterior design element, where a significant difference was found. This paper gives a comprehensive overview on the importance of store atmospheric elements in retail and the comparison between Germany which acts as a country that scored relatively high on the Individualism dimension of Hofstede’s national culture model and the countries Turkey, Russia, Portugal, Albania, Bosnia, Romania, Kazakhstan, Vietnam, Sri Lanka and Iraq which serve as a union of cultures that performed high on the Collectivism dimension. Additional research on the topic needs to be done on how culture affects shopper’s emotional and behavioural responses.

This thesis examines the impact of the war in Ukraine on grain supply and food security in MENA countries, specifically Tunisia and Yemen. The war has resulted in a significant disruption to the global grain market, with Ukraine being a major exporter of wheat and maize prior to the Russian invasion. The blockade of Ukrainian exports has led to rising food prices and increased food insecurity in developing and emerging nations, which rely heavily on imported grain. The study focuses on analyzing the structure of grain exports from Ukraine, the responses of international organizations such as the World Food Programme, and the long-lasting effects of the conflict on the global food market. The findings of this study may contribute to understanding the dynamics of the grain market and inform policies that address global hunger and food security issues.

The aim of this research is to explore social media platform TikTok and how it can be used as a marketing opportunity for brands but at the same time be a challenge for others. A qualitative study has been conducted due to the subjective nature of the topic, as well as a qualitative survey to get better insights of TikTok users’ behaviour. To analyse the data, a content analysis of 4 brands over the time frame of 3 months 01.06.2022 to 25.08.22 has been conducted. The findings can offer researchers and marketers better insights about if and how to implement TikTok into a marketing strategy of a company.

The importance of machine learning (ML) has been increasing dramatically for years. From assistance systems to production optimisation to healthcare support, almost every area of daily life and industry is coming into contact with machine learning. Besides all the benefits ML brings, the lack of transparency and difficulty in creating traceability pose major risks. While solutions exist to make the training of machine learning models more transparent, traceability is still a major challenge. Ensuring the identity of a model is another challenge, as unnoticed modification of a model is also a danger when using ML. This paper proposes to create an ML Birth Certificate and ML Family Tree secured by blockchain technology. Important information about training and changes to the model through retraining can be stored in a blockchain and accessed by any user to create more security and traceability about an ML model.

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