Browsing by Subject "efficiency (properties)"
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Item Restricted A systematic literature review on the impact of water security on sustainable economic growth(2024) Drobotov, Denys; Glarou, Despoina; Villegas, Erick Behar; Faculty of Business Administration; Berlin International University of Applied SciencesAUTHOR-SUPPLIED ABSTRACT: The generative predefined transformers (GPTs) are becoming important in today's business having influence on various aspects of business. GPTs can process large volumes of unstructured text data. This thesis is aimed to analyze how business models based on GPT contribute to the financial health of companies. The main objective of the study is to define the impact of the applying of GPT technologies on different spheres of business such as Human resources, Customer interactions, financial analysis, Automatization and Marketing to understand how it impacts on key factors of financial health. Firstly, From the literature review was understood that GPT is already used in lots of companies for improving customer service by creating intelligent chatbots. Secondly, the key advantage is the ability to automate routine processes and tasks. Finally, it improves productivity by applying it in HR and marketing. Moreover, was defined that the effective use of GPT in business models can significantly improve the financial well-being of enterprises, ensuring their competitiveness and market stability in the modern business environment. However, despite the significant benefits, there are also risks associated with data confidentiality and ethical aspects of the use of AI. That’s why was mentioned to discuss these topics: • The role of GPTs in business. • Identification of the most popular GPTs integrated into the business model. • Analysis of business models that have successfully integrated GPT. • Possible risks of implementing the GPT in the business model. It is important to note that integration a GPT into business processes can lead to financial stability of the company and reduce amount of work did by departments for focusing on more important taskItem Restricted Adapting and implementing artificial intelligence into marketing strategies(2024) Baharestani, Soufinaz; Colorado, Camilo; Villegas, Erick Behar; Faculty of Business Administration; Berlin International University of Applied SciencesAUTHOR-SUPPLIED ABSTRACT: In the contemporary era, digital transformation is revolutionizing Human Resources (HR) by integrating advanced technologies to streamline and optimize processes such as time and absence management. This study investigates the potential impact of these digitalized HR processes on perceived efficiency and employee satisfaction, focusing on techno-stress challenges and the role of Information and Communication Technology (ICT) support. Using a mixed-methods approach, the research examines how digital tools affect the timeliness and accuracy of HR tasks and how these tools influence employees' perceptions of ease of use, satisfaction, and overall user experience. The findings reveal a moderate level of techno-stress among employees, particularly in techno- overload, which significantly hampers HR process efficiency and user satisfaction. Despite the moderate availability of ICT support, its anticipated positive impact on efficiency and satisfaction was not confirmed, suggesting that support alone may be insufficient to address the complexities of digital transformation. This implies that while ICT support is important, it needs to be complemented with other strategies to fully address the challenges of digital transformation. Moreover, the study identifies key strategies to enhance user experience, including improving reporting and analytics features, integrating real-time communication tools, and enhancing user interface design. The research underscores the crucial role of a user-centered approach to digital tool development, enlightening us about the need for continuous feedback and iterative improvements based on actual user needs. Overall, this study contributes to understanding digital transformation in HR by highlighting the dual challenges of managing techno-stress and optimizing ICT support. It offers practical recommendations for organizations seeking to enhance their digital HR platforms' effectiveness and user satisfaction. The findings of this study have significant implications for HR professionals, organizational leaders, and digital tools planners, providing them with actionable insights to improve their digital HR processes and enhance employee satisfactionItem Restricted Exploring buyer persona of luxury brands : a comparison of compelling stories in the framework of consumer psychology(2024) Yüzügüzel, Fadime Gizem; Colorado, Camilo; Ülker, Barış; Faculty of Business Administration; Berlin International University of Applied SciencesAUTHOR-SUPPLIED ABSTRACT: Algorithmic management has become a significant tool in modern times for improving efficiency and productivity at work by automating procedures and analyzing data (Gritsenko et al., 2022). This thesis investigates the overall impact, benefits, and possible risks of algorithmic management in modern workplaces. The primary goal is to analyze how these systems affect operational efficiency, employee experiences, corporate culture, and organizational dynamics. Through a systematic review of literature, the study investigates the effects of algorithmic management in different areas like recruitment, financial performance tracking, and employee supervision (Lee, 2018). Case studies from top multinational companies like Uber, Facebook, and Amazon offer practical insights into how algorithmic management systems are put into use and the results they produce. These instances underscore important problems like employee rights, transparency, data privacy, and the ethical implications of automated decision- making processes. The results indicate that algorithmic management can greatly improve operations and decision-making processes, yet it also prompts notable worries regarding fairness, bias, and employee freedom. The research offers strategic guidance to tackle these obstacles, highlighting the significance of transparent data, ethical algorithm creation, ongoing monitoring, and input from employees. This thesis seeks to enhance responsible and efficient technology usage in today's workplace by offering a fair assessment of the benefits and possible challenges of algorithmic management. By doing this, advantages can be optimized while reducing any adverse effects on workers and company culture. iv