Student Projects

Thesis Summary / Abstract:

-- To be added --

Thesis Summary / Abstract:

-- To be added --

Thesis Summary / Abstract:

-- To be added --

Thesis Summary / Abstract:

This thesis explores whether modern digital platforms can measure and influence athletic performance through social engagement, using Strava as a case study. Grounded in Social Comparison Theory and research on digital exhibitionism, the study examines how interactions such as kudos, comments, and sentiment relate to performance metrics like distance and pace among a cohort of runners. By employing advanced statistical methods, including time-series modeling, cross-correlations, and Granger causality tests, the research uncovers nuanced insights into the relationship between social feedback and athletic output. The findings reveal that high social engagement aligns with peak performance over short periods, with kudos and comments closely tracking or boosting intense workouts. However, this effect diminishes over longer timescales. Sentiment, whether positive or negative, was not found to significantly predict sustained changes in training patterns. Peaks in performance and engagement often coincide with phases of intense effort, but these are frequently followed by tapering or recovery periods, causing a natural decline in training intensity despite continued social support. This suggests that even if athletes' social interactions on digital platforms can have a short-term influence on their commitment to their practice, their impact is often invisible in athletes' predefined training plans. At least within the group studied in this study, whose level of commitment and seriousness in their practice was relatively high. In conclusion, this thesis demonstrates that digital platforms hold promise for shaping and measuring athletic performance, particularly through the short-term motivational effects of social recognition. However, leveraging these tools for sustained athletic gains requires a more integrated approach that aligns online engagement with the complex rhythms of training and intrinsic personal goals.

Thesis Summary / Abstract:

-- To be added --

Thesis Summary / Abstract:

-- To be added --

Thesis Abstract /Summary:

-- To be added --

Thesis Abstract /Summary:

-- To be added --

Thesis Abstract /Summary:

-- To be added --

Thesis Abstract /Summary:

-- To be added --

Thesis Abstract /Summary:

-- To be added --

Thesis Abstract /Summary:

-- To be added --

Thesis Abstract /Summary:

-- To be added --

Thesis Summary / Abstract:

 The potential of AI, particularly machine learning, has significantly increased its attraction among companies worldwide. An increasing number of businesses are leveraging machine learning to address their operational needs across various sectors such as finance, cybersecurity, and marketing. However, AI-related attacks are also growing in scope, intensity, frequency, and sophistication, with more companies reporting that their AI models have been compromised. While focusing on cybersecurity AI models, previous research has often failed to adequately address the resiliency of these models, especially supervised machine learning models, due to methodological discrepancies. Moreover, adversarial sample generation approaches demonstrated limitations due to being case-specific and lacking human verification of adversarial examples. Furthermore, most studies have emphasized the application of supervised machine learning models in cybersecurity rather than evaluating their resiliency against adversarial attacks. To bridge this gap, this study used the Spanish National Research Council’s CSIC 2010 dataset to analyze the relationship between various data discrepancies and challenges, and their impact on the resiliency of supervised machine learning models. Additionally, the models were tested using a carefully curated set of real-world adversarial examples to produce fair and non-biased outcomes. The assessment highlighted the critical role of data augmentation in enhancing the resiliency of supervised machine learning models against exploitable data discrepancies. Furthermore, the findings underscored the added value of human-centric approach in generating sophisticated adversarial samples, which can further improve model resiliency through adversarial training. 

Thesis Summary / Abstract:

This study analyzes a robust dataset of over 10,000 B Corps worldwide, examining variables such as company size, industry, and founder gender to understand their impact on B Impact Scores—an established measure of social and environmental performance. The findings reveal nuanced patterns: while medium-sized businesses often outperform smaller or very large firms, industry-specific dynamics and structural challenges influence sustainability outcomes more than gender differences in most cases. Women-owned B Corps display comparable overall performance to non-women-owned ones but excel in specific areas like community engagement and governance. These results suggest that sustainability practices are shaped by a complex interplay of organizational, cultural, and contextual factors, inviting further exploration into how startups and gender contribute to the global sustainability agenda.

Thesis Summary / Abstract:

This study investigates user engagement and sentiment on X (formerly Twitter) in the context of a public event, analyzing content from three major news publishers: CNN, Fox News, and Reuters. A dataset of 741 tweets and 5,118 comments, posted between January 6, 2021, and January 5, 2022, was examined to understand how these publishers frame the event and how users respond to their content. Sentiment analysis revealed that negative sentiment dominated the discourse, comprising 48% of all tweets. The analysis also identified differences in tweet length across publishers, with CNN crafting the longest tweets and Fox News the shortest. Notably, Fox News received significantly more replies than its counterparts, suggesting that its content fosters higher direct engagement. Across all publishers, "likes" emerged as the most frequent form of interaction, followed by replies and retweets. A weak but statistically significant correlation was found between tweet sentiment and the sentiment of user comments, indicating that comment sections often evolve independently of the original post’s tone. These findings offer insights into the dynamics of online discourse, emphasizing the influential role of publishers in shaping user interaction and the cascading evolution sentiment on social media platforms.

Thesis Summary / Abstract:

Personalized recommendation algorithms have driven one of the critical issues in e-commerce: the "information cocoons" phenomenon. These algorithms improve user engagement and realize short-term sales by their personalization features. However, they also might narrow down users' choices and hinder long-term platform diversity and sustainability. This paper examines how such cocoons build up, the dual influences arising thereof, and possible optimization strategies to reduce the negative implications of information cocoons in the setting of e-commerce. The research uses a mixed methods approach in which case studies of leading e-commerce platforms are combined with survey data on user perceptions and behaviors. The findings show that information cocoons enhance user retention and increase the effectiveness of using information, while they reduce the likelihood of user exposure to heterogeneous products and ideas. The present study proposes hybrid recommendation systems that combine diversity-enhancing techniques, user awareness initiatives, and regulatory frameworks that deal with these challenges. These strategies juggle commercial benefits with user satisfaction and long-term sustainability of the platform and provide relevant insights helpful to both academia and industry stakeholders.

Thesis Summary / Abstract:

This thesis investigates the evolving role of artificial intelligence (AI) in personalized education, focusing on its potential to enhance learning outcomes and optimize instructional processes, alongside the ethical challenges it introduces. AI tools facilitate personalized learning by adapting instruction to individual student needs and automating administrative tasks, thereby enabling educators to prioritize meaningful interactions. However, the integration of these technologies raises critical ethical concerns, including data privacy, algorithmic bias, and the transparency of AI-driven decision-making. The research employs a mixed-methods approach. Quantitative data were collected through surveys targeting students, teachers, and education administrators, while qualitative insights were obtained from interviews with AI and ethics experts and open-ended survey questions. These methods provided complementary perspectives, yielding both broad statistical trends and in-depth contextual understanding. Findings reveal significant ethical issues in embedding AI into educational settings. While students generally welcome AI tools for personalized learning, they lack understanding of how these systems generate recommendations and ratings. Concerns about data privacy and algorithmic biases are pervasive, particularly biases perceived to disadvantage underrepresented cultural, linguistic, and socioeconomic groups. Although experts proposed transparency as a key solution to algorithmic bias, practical strategies for achieving this remain underdeveloped, signaling a need for further exploration. This thesis provides a comprehensive analysis of these challenges and offers preliminary recommendations to guide the responsible integration of AI in education.

Thesis Summary / Abstract:

The field of enterprise cybersecurity has been significantly shaped by regulatory frameworks designed to protect sensitive information against cyber threats. This study examines the effectiveness of Information Security Management Systems (ISMS) and the NIST standards in enhancing organizational cybersecurity. Utilizing ISO/IEC 27001 as a benchmark, the research evaluates the implementation of best practices, policies, and technologies across various enterprises. The analysis focuses on the European Union’s NIS2 Directive, introduced in December 2022, as a critical update to the initial NIS1 Directive. Key findings indicate that NIS2 broadens the scope of covered sectors, enforces stricter risk management protocols, and mandates improved incident response and coordination across member states. Additionally, the directive emphasizes the importance of supply chain security and continuous employee training. The study concludes that while NIS2 addresses many shortcomings of its predecessor, ongoing efforts are needed to ensure uniform compliance and to adapt to evolving cyber threats. Recommendations include enhancing cross-border cooperation, developing user-friendly compliance tools, and fostering a culture of cybersecurity within organizations to maintain resilience against future challenges.

Thesis Summary / Abstract:

This research explores the evolving landscape of data governance in the beauty industry, with particular emphasis on the often-ignored human dimension. Using L'Oréal, the world's current biggest cosmetics company as a lens, the thesis studies current practices, challenges, and emerging trends in establishing a robust, people centric data governance framework. Key findings from expert interviews and analysis of L'Oréal's approach reveal that L'Oréal adopts a hybrid framework, balancing centralized oversight with decentralized execution across 18 data domains. It aims to ensure both global consistency and local agility. Focus on "Data & Analytics Governance": The organization takes the approach beyond traditional data governance and embeds analytics in its framework, emphasizing the production of "data products" to increase business value. Their strategy focuses on making data, business processes, and people "ready for data." There’s a critical role of people but with challenges. L'Oréal recognizes the critical importance of clearly defined roles in the structure of data governance but implementing these roles effectively brings along some challenges. One of the big challenges is cultural resistance to change because many stakeholders question the investment in data governance. The other challenge for L'Oréal involves the talent pool: attracting people with a combination of strong technical skills and business acumen. This and other important findings are presented in the full thesis.

Thesis Summary / Abstract:

The rise of streaming services has drastically changed how people access and consume information, changing the entertainment scene globally. Netflix is a trailblazer among these services, using advanced recommendation algorithms to provide tailored content and raise user pleasure. But there are drawbacks to this technical advancement as well, especially for independent films, which frequently face difficulties gaining recognition in the face of the overwhelming popularity of popular, high-engagement content. The study looks at how Netflix's algorithmic design, which is largely focused on increasing user engagement and retention, unintentionally marginalizes independent films. The study reveals the systematic biases that favor high-engagement material by examining user attitude, metadata trends, and audience behavior. This results in “indie films” receiving little visibility, despite their cultural significance and critical acclaim. The study also looks at the distinctive qualities of independent films, such as their intricate storylines, creative originality, and cultural significance, which draw specialized audiences but struggle to reach a wider audience. Findings indicate that although Netflix is excellent at promoting popular material, its algorithmic structure frequently ignores independent films' ability to improve user experiences and broaden the platform's selection. Strong emotional and cultural resonance is indicated by the continuously high scores that independent films earn from interested audiences. However, their reach is limited by their poor popularity metrics and lack of promotional support. Additionally, audience tastes and the chance of engaging with such content are greatly influenced by demographic criteria including age, viewing habits, and knowledge with indie cinema. By offering a sophisticated knowledge of the obstacles to independent films' visibility on streaming services and pointing forth workable solutions, this study adds to the body of current literature. Recalibrating Netflix's recommendation system to integrate diversity measures, making sections or playlists just for independent films, and improving user engagement with gamified discovery tools and targeted advertising are some of the suggestions. These tactics present a chance for Netflix to support its objective of providing inclusive and diverse content while promoting sustained user pleasure.

Thesis Summary / Abstract:

Food waste has always been a major issue around the globe. In order to achieve the goal to reduce the amount of food wastage in half by 2030, more and more solutions have been proposed to help alleviate the rising problem. Among all solutions, mobile apps are one of the most common technologies adopted due to their accessibility. Too Good To Go (TGTG), a food waste reducing mobile app, has rescued more than 300 million meals since 2016, making positive impacts environmentally, socially and economically. Despite overall good reputations, the surprise clearance scheme adopted by TGTG is being questioned for increasing food wastage on a consumer level. In light of the mixed perceptions, I am therefore curious about the overall consumer experience in France, currently the biggest market of TGTG. To achieve the research objective to propse a revised TGTG business model, an online survey was distributed through different channels to collect consumer experience in France, and a combined business model innovation(BMI) framework was adopted to better structure the BMI process. Based on the analysis, the result innovative consumer-centric BMI process incorporates (1) optimizing existing features on the mobile app and (2) adding some new value propositions and a new actor in customer segments into the current TGTG business model canvas. Nevertheless, limitations are found in both the online survey and the new business model proposed in this study.

Thesis Summary / Abstract:

In the era of digital transformation, data-driven strategies are reshaping industries, including football. This study examines the optimization of user experience (UX) and data presentation for two leading Chinese football platforms, Dongqiudi and Hupu, with the goal of enhancing user satisfaction and operational efficiency. Through mixed-method research involving qualitative interviews, quantitative surveys, and platform analysis, the study identifies critical bottlenecks, such as bloated data presentation, missing data description, and inconvenient data access. Key findings reveal that user-friend features, reasonable structure, and balanced content depth are crucial for meeting diverse user expectations. Additionally, insights into user engagement with football data underscore the need for modular and dynamic platform designs. By proposing a novel optimization framework, this research aims to bridge the gap between fan engagement and advanced data utilization, contributing to a more user-centered future for football platforms in China.

Thesis Abstract /Summary:

This thesis investigated the essential relationship between data and strategic decision-making within the insurance sector in France. Employing a mixed-methods approach, the research combined interviews and a survey of over 200 industry participants, including Chief Data Officers (CDOs), IT managers, and business strategists. The study underscored the importance of integrating both quantitative and qualitative data into strategic planning to improve decision-making quality, operational efficiency, and market competitiveness. Key findings indicated that strong leadership support, dedicated data teams, continuous investment in data infrastructure, and compliance with data privacy regulations were critical for developing effective data strategies. This research provided valuable insights into how companies could leverage data to achieve sustainable growth and innovation in a rapidly evolving market.

Thesis Abstract /Summary:

This thesis investigated the impact of digitalization on reducing the carbon footprint within the banking sector, emphasizing both its benefits and limitations. Previous research demonstrated that digital innovations decreased client physical travel, reduced paperwork, and streamlined inefficient processes, thereby contributing to a lower carbon footprint. However, this study revealed that despite these advancements, certain factors impeded complete digital transformation. In corporate banking, high-end clients often required physical meetings due to security concerns and the need for in-person interactions to finalize deals, resulting in continued travel and associated carbon emissions. Similarly, there remained a segment of retail banking customers that were wary of digital security and preferred traditional banking methods, including physical paperwork. These preferences restricted the extent to which banks could fully leverage digital innovations. Moreover, the research highlighted nuances in the digitalization narrative, such as job transformation rather than elimination and the equal importance of service ease and speed. These findings underscored the necessity of robust cybersecurity measures and the optimization of work through conscientious transformation that constantly considered environmental benefits.

Thesis Abstract /Summary:

In a context where cosmetics and health became increasingly interlinked, the French dermo-cosmetics sector evolved significantly due to the COVID-19 pandemic, technological progress, and changing customer habits. This thesis explored how customer-focused brand strategies could enhance competitiveness. It analyzed market trends, consumer expectations, and digitalization strategies. Key findings highlighted the importance of transparency, ethics, and sustainability, with well-informed brands being better perceived. Technological advances, such as AI for personalized skin diagnostics, created opportunities for customized experiences. The pandemic-driven shift to online shopping emphasized the need for a strong presence on platforms like Amazon and Sephora, where reviews influence purchasing decisions. Brand reputation, online reviews, and peer recommendations were crucial, with pharmacies and e-retailers preferred by consumers. Competitiveness hinged on quality, efficacy, and innovation, with loyalty based on proven results. A customer-centric strategy focusing on transparency, innovation, and online presence was vital for success, enabling brands to meet consumer expectations, attract new segments, and ensure sustainable growth.

Thesis Abstract /Summary:

This research examined the critical role of data quality, governance, and advanced analytics in unlocking the potential of big data to enhance operational efficiency within the transportation and logistics sector. It analyzed data generation, storage, and usage practices to identify opportunities for maximizing data value to improve decision-making and operational workflows. The study addressed the importance of high-quality data, the benefits of advanced analytics for route optimization, and the potential of data sharing with local communities while ensuring data security and privacy. Utilizing Transportation Management Systems (TMS), IoT sensors, and GPS data, the research highlighted the effectiveness of these tools in managing logistics operations. It also identified challenges in maintaining data integrity and security amid evolving industry demands. The findings emphasized a comprehensive approach to data management, including robust data governance, the use of advanced analytical tools, and strategic data sharing, to foster community collaboration, reduce environmental impact, and enhance overall operational efficiency.

Thesis Abstract /Summary:

This bachelor thesis presented an analysis of Quiz Room, a company in the indoor gaming industry, focusing on integrating adaptive algorithms to enhance user retention and personalize the gaming experience. The study involved an internal and external diagnosis of the company, a detailed examination of the research context, and a presentation of results, followed by analysis and recommendations. The primary hypotheses explored included the impact of removing the media percentage constraint, the effect of the "RELAX LEVEL" functionality, the benefits of quiz personalization, and the engagement potential of special quizzes. Data from 80,000 bookings, 750,000 player profiles, and 300,000 game results were analyzed to understand user behavior and preferences. Key findings revealed that removing the media percentage constraint and introducing the "RELAX LEVEL" feature increased user engagement by optimizing content use. Enhanced personalization features also led to higher satisfaction and return rates, while special quizzes outperformed standard ones in engagement metrics. The analysis underscored the importance of aligning algorithms with user needs and suggested that technical perfection alone was insufficient without considering user preferences. Strategic recommendations for Quiz Room included designing progressive challenge modes, utilizing machine learning for personalized recommendations, incorporating gamification elements, encouraging user-generated content, and gathering user feedback for continuous improvement. These strategies aimed to boost user satisfaction and loyalty, positioning Quiz Room as a leader in the indoor gaming industry.

Thesis Abstract /Summary:

Digital transformation is reshaping traditional business practices, compelling companies to adjust their models accordingly. This shift is particularly evident in sectors like digital newsletters, where integrating digital technologies is crucial for competitiveness and meeting consumer expectations. This thesis explored the intersection of traditional business practices and digital transformation within newsletter business models, focusing primarily on TSA Publications, a subsidiary of Vivara SA Group specializing in natural health. The objective was to explore how TSA Publications' subscriber relationships and conversion rates could be enhanced through strategic business model adjustments. In-depth interviews were conducted with company personnel and affiliates, alongside a structural analysis of organization, business operations, and market dynamics. Findings indicate that TSA Publications must better understand its audience, diversify its offerings, and implement retention strategies. Ultimately, while challenges abound, digital transformation presents opportunities for companies to rethink and enhance their business models. This may involve diversifying offerings, improving audience understanding, implementing CRM systems, and aligning strategic vision with objectives to thrive in a dynamic digital landscape and ensure long-term viability.

Thesis Abstract /Summary:

This thesis investigated optimization strategies for the e-commerce supply chain and customer service to enhance customer satisfaction and reduce delivery delays. The study identified several critical approaches: improving transport infrastructure, leveraging advanced technologies such as the Internet of Things (IoT) for real-time product tracking, and innovating packaging management to safeguard products during transit. The research underscored the necessity for companies to focus not only on logistics efficiency but also on integrating comprehensive returns and customer complaint management systems that aligned with and surpassed consumer expectations. Additionally, the importance of staff training and the incorporation of sustainable practices in logistics operations was highlighted as essential for sustaining customer trust and loyalty. However, the study also recognized limitations, including the need for further exploration into the technical aspects of vehicles suitable for restricted urban areas and the development of reinforced packaging solutions for heavy products. The findings emphasized the importance of a holistic and adaptive approach to addressing the logistical challenges in e-commerce, advocating for continuous improvement in customer satisfaction through technological innovation and effective management of customer interactions.

Thesis Abstract /Summary:

This thesis explored existing challenges in supplier-buyer relationships which could disrupt the successful implementation of procurement savings in large German companies, as defined by the OECD as companies with over 250 employees (OECD, 2017). The research was conducted from an external consultant’s perspective. The primary objective of this research was to identify potential issues in supplier-buyer relationships and how these issues could impact the successful implementation of procurement saving programs. The research relied on the insights from real experiences encountered by procurement professionals. The study confirmed the assumption that procurement savings positively impact a company’s performance both financially and operationally. However, the relationship dynamics between a supplier and buyer have a significant impact on the successful implementation of these programs. To better understand, why procurement saving programs were not successful implemented in a company’s procurement function, the research aimed to identify potential barriers. Some of the most frequently issues mentioned throughout the data collection process are inadequate stakeholder management, misaligned communications as well as resistance for changes within the procurement structure. Essentially all these barriers lead to inefficiencies and failed saving initiatives. The recommendations given include establishing long-term, collaborative supplier-buyer relationships with a high level of trust and exchange of information. An organization should set clear goals and a governance on the establishment of such relationships. Apart from that, organizations should leverage digital technology to facilitate stakeholder management and the procurement process in general.

Thesis Summary / Abstract:

This thesis offered a comprehensive analysis of the digital transformation in Business-to-Business (B2B) companies, specifically focusing on the chemical industry. With the advent of digital technology, this research delved into the transition from traditional to digital marketing strategies and explored the profound impact of this shift on consumer behavior and e-commerce within these organizations. At the core of this study lay a detailed examination of Covestro, a prominent chemical company that served as a representative example of the broader industry's transition. Through a comparative analysis, this research contrasted the digital marketing strategies employed by the top 10 global chemical firms, with a particular emphasis on Covestro's initiatives. The aim was to investigate how traditional companies could integrate digital strategies into their existing business models to enhance their competitiveness and adaptability in a rapidly evolving digital landscape. This thesis also explored the challenges faced by the chemical industry, which had traditionally relied on complex B2B structures and established customer relationships, in adapting to digitalization. It examined how these firms could maintain their historical customer base while embracing digital marketing strategies to foster innovation and resilience. The findings of this research demonstrated that the strategic shift towards digital marketing was a critical response to emerging challenges and presented an opportunity to leverage the potential of digital platforms for sustainable growth. The study provided valuable insights and recommendations for enhancing digital marketing efforts, underscoring the pivotal role of digital marketing in ensuring the survival and prosperity of traditional industries in the contemporary economic environment.

Thesis Summary / Abstract:

The retail business was experiencing a significant shift due to developments in technology and changes in consumer behavior. Amidst this ever-changing environment, the skill to proficiently engage in cross-selling had emerged as a vital tactic for optimizing revenue and enhancing client contentment. This thesis introduced a customized algorithm for quantifying brand cross-selling, specifically designed to address the distinct constraints and opportunities encountered in the retail industry. The research incorporated a comprehensive literature review, examining existing cross-sell methodologies and their applications in the retail context. It identified gaps in current approaches, emphasizing the need for a more nuanced and adaptable algorithm that could account for diverse needs. Results from the algorithm's implementation were presented, demonstrating its efficacy in identifying cross-sell opportunities, optimizing product recommendations, and ultimately enhancing the retail company's revenue streams. Comparative analyses with traditional cross-sell methods underscored the algorithm's superiority in terms of accuracy and adaptability. Finally, the research contributed not only to the academic understanding of cross-selling in the retail sector but also offered practical insights for industry professionals seeking to implement more sophisticated and effective strategies. The implications of the algorithm extended beyond revenue generation, impacting customer loyalty and overall business sustainability in an increasingly competitive market.

Thesis Summary / Abstract:

People's payment methods evolved with their time, becoming more diverse with technological advancements. This paper primarily employed quantitative survey data analysis and content analysis to explore people's payment preferences in the AI environment in France, providing valuable recommendations for the country's business development based on these preferences. This paper also reviewed the development process of digital payments. The research results were derived from the questionnaire conducted by the author in France on people's payment preferences, as well as summaries of a substantial number of recent articles from official websites. The study indicated that even within France, people of different ages, genders, and regions exhibited distinct payment habits. For individuals moving to France from other regions and intending to have a long stay, the most significant payment change was the transition to using local French bank cards. Convenience, security, and trust were the three most crucial factors people considered when choosing a payment method, with over half of the respondents expressing indifference to cashback activities. Additionally, more than half of the survey participants preferred shopping at stores that aligned with their preferred payment methods. As AI gradually infiltrated digital payments, our investigation revealed that most people had used AI payments, although their understanding of AI payments varied. Understanding people's payment habits in France enabled a better comprehension of their acceptance of new technologies and provided effective data support for local businesses' strategic decisions, fostering improved connections between customers and businesses. Monitoring the evolving preferences in payment methods was crucial for future considerations.

Thesis Summary / Abstract:

-- To be added --

Thesis Summary / Abstract:

The purpose of this study was to explore the relationship between the use of electronic health records (EHR) and electronic consultation (e-consultation) in managing chronic conditions at a selected health facility, MCH. Conducted as a case study, the research involved analyzing documents and conducting 28 key informant interviews to gather data. The findings indicated no direct relationship between EHR usage and e-consultation in chronic condition management at MCH. This result persisted despite MCH's robust ICT infrastructure and the inherent potential of EHR for e-consultation. The primary barriers identified were limited management support and restrictive policies, which fostered resistance to technological adoption. The study emphasizes the need to engage stakeholders in managing the changes introduced by EHR to maximize the benefits of e-consultation. The research provides actionable recommendations for establishing and nurturing the desired relationship, marking a pioneering effort with the potential to improve clinical processes and patient outcomes.

Thesis Summary / Abstract:

State university libraries have joined other university libraries in the region and internationally in the creation of digital libraries and institutional repositories (IRs) using Open Source Software (OSS). Despite amassing a growing body of digital collections, they face numerous OSS technical challenges that put at risk the preserved digital information in their digital libraries and IRs. This study sought to investigate the use of OSS in the preservation of digital information in state university libraries. Data was gathered through semi-structured interviews, content analysis, and observation from two state university libraries, LSU and NUST, which were conveniently selected, and from 14 purposively selected participants. The study established that state university libraries did not undergo a selection process for OSS for their digital preservation information, resulting in DSpace becoming the default software. The system architecture of DSpace was not well known, and there was limited knowledge on how the system preserved digital objects. The study also revealed that the OSS license subscribed to by the preservation tool was neither well known nor read. International digital preservation standards were also unfamiliar. Upgrading and updating of digital OSS was done periodically, but most of the hardware in the libraries was very old and needed upgrading. There was a lack of training, especially for junior staff members in the IR system. Only systems specialists in state university libraries participated in OSS communities. It was recommended that state university libraries should undergo a selection process for OSS digital preservation tools. Systems specialists and IR managers should study and understand the type of license their OSS subscribes to, including its terms and conditions. Senior management should prioritize training and refresher courses for junior staff members involved in IR and digital preservation. Additionally, senior management should allocate time for developers and other technical personnel to participate in OSS communities, thus benefiting from having their own contributors who can implement potential changes in OSS projects.

Thesis Summary / Abstract:

Managing records using best practice standards enables efficient and effective information handling as well as decision support. This study sought to determine the extent to which State Universities, namely NUST, MSU, and LSU, comply with ISO standards, focusing on ISO 15489. The study aimed to assess how records are managed in these universities, the level of compliance with ISO 15489, and the impact of this standard on records management. Additionally, it sought to determine if records management personnel are aware of ISO 15489. A mixed methods approach was employed, using a multiple case study design where the three universities were treated as separate cases. Purposive sampling was used to select six respondents from each university. Data was gathered using questionnaires, interviews, and observations. Quantitatively, the level of compliance was 60% for NUST, 65% for MSU, and 50% for LSU. Qualitatively, the major views from the three cases indicated efforts to achieve compliance, hindered by human resource, top management, and prioritization concerns. In conclusion, the study found that the three state universities do not fully comply with ISO 15489. The researcher recommends that ISO 15489 be used as a standard to create regulations for managing records in state universities. State universities should fully comply with ISO 15489 and utilize the latest (2016) update to the standard.

Thesis Summary / Abstract:

The aim of this study was to identify and clearly outline the relationship marketing activities of Archive-It Services that lead to customer satisfaction. The main objectives were to establish how relationship marketing enhances service quality and customer satisfaction, to determine how consumer behavior influences relationship marketing, and to assess customer satisfaction and its motivators. The research employed a case study design, collecting data through interviews and questionnaires. Data from interviews was described in plain text, while data from questionnaires was presented both qualitatively and quantitatively. The results revealed that customers perceive Archive-It Services' products and services as meeting their expectations and are satisfied with them. The study concluded that there is a strong link between a firm's performance, product quality, and customer satisfaction. Archive-It Services focuses on the customer's life cycle rather than the product's life cycle, and important relationship factors include personalized treatment, mutual openness, and long-term relationships. The services and products of Archive-It Services are able to exceed customers' expectations (positive disconfirmation). The study recommends that Archive-It Services maintain its reputation, continue building close relationships with customers, and train its staff to equip them with the knowledge and skills necessary to produce quality records management services. Additionally, it suggests conducting similar research to examine the impact of relationship marketing on customer retention from the suppliers' perspective and evaluating the impact of relationship marketing on sales, profits, and growth of Archive-It Services.

Thesis Summary / Abstract:

This study evaluated the Document Management System (DMS) at the Bulawayo City Council engineering department. The aim was to assess the changes brought by the DMS implementation, focusing on improvements in efficiency, effectiveness, and productivity. The evaluation was prompted by the system's low user rate despite being in place for over five years, highlighting the need for a thorough review of its post-implementation phase. Data was gathered through interviews, questionnaires, observations, and document analysis. The findings determined the extent to which the DMS met the objectives set by the organization's management and identified reasons why some objectives had not yet been achieved. Results revealed that most staff members were reluctant to use the DMS due to a lack of motivation and knowledge. However, some staff members who used the system experienced benefits such as increased work efficiency, and easier retrieval and access to records. The study also identified the absence of a serious push for DMS adoption and the need for comprehensive training and support for staff to enhance system usage. In conclusion, although the DMS offers potential benefits, its success is hindered by low user engagement, insufficient training, and the lack of a robust implementation strategy. The study recommends addressing these issues to fully realize the advantages of the DMS.

Thesis Summary / Abstract:

This study analyzed the information security systems at the Central African Building Society (CABS). The objective was to evaluate the effectiveness of the bank's information and cybersecurity systems in mitigating internet-related risks following a 2012 cybercrime incident. With technological advances, it is crucial for financial institutions to prioritize information security, particularly for online transactions, given the increasing reliance on technology. The research utilized survey and case study methods, including interviews, questionnaires, observations, and systems analysis. The findings revealed that CABS struggled to fully mitigate risks and secure customer information. Key challenges identified include the lack of adequate policies, guidelines, standards, and legislative tools impacting information security management. The study indicated that while the bank has implemented information security systems to mitigate risks and cyber threats for online transactions, these systems are not sufficiently advanced. Furthermore, many of the bank’s clients are not adequately informed about verifying secure online transaction connections. The bank lacks essential mechanisms, such as secure socket layer (SSL) encryption connections, to protect information exchanged during online transactions from theft. In conclusion, although the bank has established security mechanisms, policies, and standards to ensure information security governance, these measures are inadequate.

Thesis Summary / Abstract:

This study investigated the document management processes and strategies at CIMAS Medical Aid Society. The objective was to evaluate the current processes and strategies for document management within the institution. The study identified several problems faced by CIMAS and reviewed various literature sources to support the research. Both local and international studies on document management processes were consulted. A case study approach was employed, utilizing questionnaires and observations to collect data. The findings revealed that the existing process model included numerous processes but lacked essential components, exacerbated by the absence of a formal document management policy. The study recommended implementing a streamlined document management process supported by an efficient model with fewer processes. It highlighted the advantages of a hybrid document strategy and the benefits of using an electronic system exclusively. Additionally, it suggested that document management personnel should obtain qualifications in records and information management to improve document management practices at CIMAS.

Thesis Summary / Abstract:

The study aimed to evaluate the utilization of SAP in managing employer records at the Zimbabwe Manpower Development Fund (ZIMDEF). Its goal was to assess whether the system effectively ensured the authenticity, integrity, reliability, and longevity of records, essential for demonstrating institutional accountability and transparency. The research addressed challenges faced by employees in retrieving records from SAP, alongside reported instances of misfiling. The study sample included employees from the Information Technology, Employer Registry, Debt Management, and Levy Inspection departments of ZIMDEF. Data collection utilized system analysis, participant observation, and structured interviews. Findings indicated that SAP exhibited strong capabilities for managing authoritative records, including competent access and security controls, reliable storage facilities, email management capabilities, and a robust filing system. However, weaknesses in metadata management and version control were identified, compromising the system's effectiveness in record retrieval and access. The study also highlighted the necessity for registry employees to acquire system analysis skills to periodically assess system performance and interactions, thereby maximizing its utility. In conclusion, while SAP demonstrated several strengths in record management, addressing weaknesses in metadata management and version control is crucial for enhancing its overall effectiveness at ZIMDEF. Training initiatives for registry personnel in system analysis are recommended to optimize the system's performance and utilization.

Thesis Summary / Abstract:

The Commercial Records Centre (CRC) industry is a relatively new phenomenon in Zimbabwe, prompting this study to assess the viability of operating a records management business in the country. Archive-It Services served as a case study to investigate the challenges faced by CRCs and the impact of the Zimbabwean business environment on records management services. The research also examined the strategies employed by Archive-It Services to remain viable despite these challenges.The study utilized questionnaires and interviews as primary data collection tools, complemented by secondary data from the company's annual strategic reports, brochures, and registers. Findings indicated that Archive-It Services has experienced growth despite operational challenges, with sales increasing by 28% from just above US$600K in January 2011 to  well above US$900K in December 2015, along with gains in market share. However, significant untapped market opportunities were identified. The study affirmed that operating a records management business in the country can be viable with effective business strategies, despite economic challenges. Recommendations include expanding into digital archiving, enhancing employee training, adopting aggressive marketing strategies, offering consultancy services, and implementing debt collection strategies. Further research is advised on the development of Commercial Records Centres, professional requirements for CRC personnel, and the broader societal benefits of CRCs in enterprise environments.

Thesis Summary / Abstract:

-- To be added --