1,721,031 research outputs found
Combining big data and traditional business intelligence – a framework for a hybrid data-driven decision support system
Full text linkDissertation (MIT (Information Systems))--University of Pretoria, 2021.Since the emergence of big data, traditional business intelligence systems have been unable to meet most of the information demands in many data-driven organisations. Nowadays, big data analytics is perceived to be the solution to the challenges related to information processing of big data and decision-making of most data-driven organisations. Irrespective of the promised benefits of big data, organisations find it difficult to prove and realise the value of the investment required to develop and maintain big data analytics. The reality of big data is more complex than many organisations’ perceptions of big data. Most organisations have failed to implement big data analytics successfully, and some
organisations that have implemented these systems are struggling to attain the average promised value of big data. Organisations have realised that it is impractical to migrate the entire traditional business intelligence (BI) system into big data analytics and there is a need to integrate these two types of systems.
Therefore, the purpose of this study was to investigate a framework for creating a hybrid data-driven decision support system that combines components from traditional business intelligence and big data analytics systems. The study employed an interpretive qualitative research methodology to investigate research participants' understanding of the concepts related to big data, a data-driven organisation, business intelligence, and other data analytics perceptions. Semi-structured interviews were held to collect research data and thematic data analysis was used to understand the research participants’ feedback information based on their background knowledge and experiences.
The application of the organisational information processing theory (OIPT) and the fit viability model (FVM) guided the interpretation of the study outcomes and the development of the proposed framework. The findings of the study suggested that data-driven organisations collect data from different data sources and process these data to transform them into information with the goal of using the information as a base of all their business decisions. Executive and senior management roles in the adoption of a data-driven decision-making culture are key to the success of the organisation. BI and big data analytics are tools and software systems that are used to assist a data-driven organisation in transforming data into information and knowledge.
The suggested challenges that organisations experience when they are trying to integrate BI and big data analytics were used to guide the development of the framework that can be used to create a hybrid data-driven decision support system. The framework is divided into these elements: business motivation, information requirements, supporting mechanisms, data attributes, supporting processes and hybrid data-driven decision support system architecture. The proposed framework is created to assist data-driven organisations in assessing the components of both business intelligence and big data analytics systems and make a case-by-case decision on which components can be used to satisfy the specific data requirements of an organisation. Therefore, the study contributes to enhancing the existing literature position of the attempt to integrate business
intelligence and big data analytics systems.InformaticsMIT (Information Systems)Unrestricte
Digital innovation strategy : a framework for creating business value for an airline organisation
Full text linkThesis (PhD (Information systems))--University of Pretoria, 2024.Digital innovation in the airline industry is a holistic approach that involves leveraging advanced technologies to improve customer service, drive value, and enhance efficiency. As a crucial strategic asset, digital innovation strengthens competitiveness and skills development within airlines. The sector's growing involvement with digital innovation reflects a commitment to experimenting with digital technologies and accelerating their adoption.
However, the swift pace of technological change coupled with the high-costs of implementation and a lack of standardised protocols can often lead to fragmented customer experiences and operational silos. Addressing these challenges requires a focused strategy on integrating new technologies seamlessly with existing systems, ensuring interoperability, and aligning digital transformation with the overall business objectives to create a unified, customer-centric approach.
This interpretive case study collected data from online questionnaires distributed to employees, customers, and suppliers of the airline organisation. The data analysis provided a detailed perspective on the organisation's agility and strategic approaches through diverse stakeholder lenses, revealing key themes that deepen theoretical knowledge. It concluded by connecting these insights to the core elements of a digital innovation strategy, aligning practical observations with the broader goal of strategic digital innovation. In addition, semi-structured interviews were conducted with the airline organisation's executive management team, executive foresight, and experience, which highlighted the practical challenges and opportunities in navigating digital transformation.
This study introduced a layered digital innovation framework within an airline organisation operating in a volatile and rapidly evolving environment that demands an ability to innovate, scale, and revamp the organisational structure persistently to align with a digital innovation strategy. The first surrounding layer addresses factors critical to the core components: a company culture open to change, technological integration for smooth operations, and process efficiencies for scalability. The second layer presents outcomes such as improved decision-making and operational efficiency through optimised processes and strategic data use, integration of data and systems for better insights, and a culture of continuous digital improvement.
The third layer highlights broader objectives like seamless customer and employee digital experiences, the emergence of new technologies, and overall digital transformation aiming for full integration of digital technology to enhance performance and competitiveness.
The outermost layer represents strategic end goals like streamlined operations and new methodologies such as agile project management, data-driven strategy, and customer-centric product development. This study describes a multi-layered digital innovation strategy model with People, Technology, and Process at its core. These elements are foundational for any digital strategy, focusing on a prepared workforce, technological infrastructure, and efficient methodologies.
Fundamental dynamic capabilities, such as sensing and seizing opportunities, navigating transitions, and transforming operations, are vital in fostering agility and resilience. These capabilities should inform and shape the foundation of a strategy focused on digital innovation, which rests on the interplay of human resources, processes, and technology. In the current fast-paced climate of the airline industry and its competitive market, it's crucial to devise a digital innovation framework that not only identifies but also effectively leverages the right strategic levers. Doing so is essential for extracting maximum business value from digital transformation efforts, ensuring they are well-aligned with the organisation's overarching goals and market demands.
The study makes several significant theoretical contributions. Firstly, it deepens the understanding of digital innovation strategies in the airline industry, providing insights into how these strategies can be effectively developed and implemented. Secondly, it expands the knowledge of organisational agility and strategic alignment in the context of digital transformation, highlighting the critical factors that contribute to successful digital innovation. Lastly, the study provides a detailed theoretical framework that can be applied to similar industries facing rapid technological changes, offering a valuable reference for further research and practical application.
Regarding practical contributions, the study offers actionable insights for airline executives on implementing and scaling digital innovations. It emphasises the importance of integrating new technologies with existing systems to ensure seamless operations and avoid operational silos. Additionally, the study identifies critical challenges and opportunities in digital transformation, providing practitioners with valuable information to develop effective strategies. This practical guidance can help airline organisations navigate the complexities of digital innovation and achieve their strategic objectives.
Overall, the model advocates for a strategic, layered approach to digital innovation, where each level supports and amplifies the next, culminating in a business that is agile, efficient, and future-ready, thereby delivering substantial business value through enhanced competitive advantage, increased operational efficiency, and accelerated market responsiveness.InformaticsPhD (Information systems)UnrestrictedFaculty of Engineering, Built Environment and Information Technolog
Rethinking cars for sustainable mobility – Shared-autonomous vehicles and circularity
No full textAutonomous driving cars, underpinned by advancements in artificial intelligence, sensor technology, and the enhanced communication capability of 5G, are now poised to revolutionize transportation, promising significant improvements in safety, efficiency, and accessibility.
However, the time for such a transition towards fully autonomous vehicles (AV) should coincide with the transition to Society 5.0, where cars are zero-emission vehicles and fully embedded into a circular economy (CE). This requires a radical change not only for the car industry but also for the car users, who are in the early transition from being car owners to car-users with automobiles becoming a more sustainable public mobility service. In this paper, we conduct a literature review about the state-of-the-art of autonomous driving and circular economy, as both cannot be established without substantial infrastructure enhancements for vehicle-to-everything communication and for building up more sustainable business models for the circular economy. We divide this journey into three different states where we provide a vision of new stakeholders and new business process models via the current state of its infancy, the middle state of its coexistence, and the target state of fully established Shared Autonomous Electric Vehicles (SAEV) and CE services. Given that such a radical change will undoubtedly face resistance, this transition scenario is analyzed using different aspects of power dynamics to show potential benefits and new business opportunities for the different stakeholders involved. In the final section, we show examples of different car manufacturers and how they see their current focus on new energy vehicles (NEV) and aspects of CE in their respective strategies
A case study on teaching social engineering to Swiss and Cameroonian university students in a virtual and cross-cultural setting
No full texthttps://2024.conference-society5.org
CyMed: A framework for testing connected medical devices
No full textConnected Medical Devices (CMDs) significantly benefit patients but are also vulnerable to malfunctions that can harm. Despite strict safety regulations for market entry, there’s a notable shortage of specific cybersecurity frameworks for CMDs. Existing regulations on cybersecurity practices are often broad and lack detailed implementation steps. This paper introduces the CyMed framework, designed for vendors and end-users, offering explicit strategies to enhance the cybersecurity of CMDs. The effectiveness of CyMed is assessed through practical testing and expert interviews
Ontology-based course recommendation
No full textThis paper addresses the challenge of course selection for students by using the domain knowledge available within course descriptions to improve the decision-making process. The decision-making process for selecting courses is complex, influenced by intrinsic motivations, such as personal interests and academic goals, and extrinsic factors, including career prospects and peer recommendations, shape students’ preferences. This paper demonstrates the potential of semantic networks, and ontologies in particular, to match student preferences with available courses. By developing an ontology tailored to the Master’s program in Business Information Systems at FHNW University of Applied Sciences and Arts Northwestern Switzerland, we explore the ability of ontologies to refine the precision, relevance, and customization of course recommendations, thereby empowering students to make well-informed decisions
Short duration, lasting impression. The role of short-term study trips in cross-cultural learning
No full textThe Impact of social media on knowledge management within organisations
Full text linkDissertation (MIT (Information Systems))--University of Pretoria, 2021.Knowledge management is crucial to the sustainability and success of an organisation. Identifying and sourcing knowledge is critical for modern, multi-national organisations which strive for competitive advantage across multiple markets. Organisational development, change management, innovation and efficacy can all be improved through the active management of knowledge. At base level, social media provides a means for people to communicate, share information and content, interact, collaborate and foster relationships between one another and between individuals and organisations. Social media’s use within organisations is on an upward trajectory, facilitating employee interaction, collaboration and communication. Knowledge management without social media’s assistance leaves organisations with problems, such as knowledge retrieval, connecting knowledgeable individuals, knowledge retention and knowledge dissemination. Knowledge management enabled through social media, however, facilitate effective knowledge management by increasing knowledge access, creation, exchange and storage. However, these two concepts are not entirely harmonious, with challenges arising from several factors, such as data overload, protection, privacy and validity.
This study employed the interpretivist research philosophy. This allowed the researcher to investigate the phenomena under scrutiny while considering the beliefs, thoughts, feelings and experiences of the research participants through interpretation and observation. This study made use of the qualitative research approach. A case study was employed and data was collected through a questionnaire and semi-structured interviews. This data was analysed in great detail, leading to the identification of emerging themes related to the phenomena under investigation.
It was established that social media possesses both a positive and negative impact on knowledge management. Most employees understand knowledge management and its core concepts of knowledge generation, sharing, storage and application. However, while many understand these concepts, not all know how to put them into practice and effectively separate theoretical and practical knowledge. There are several benefits through knowledge management enabled through social media, but there are challenges and barriers limiting its sustainability and growth. The researcher contributed to the academic and business communities by providing a model, one which takes social media’s impact into consideration. The conventional Socialisation-Externalisation-Combination-Internalisation (SECI) model consists of elements which require in-person communication and others which require virtual communication, however, the enriched model illustrates that social media can facilitate all elements of the SECI model, acting as the central element for all four phases of the model.InformaticsMIT (Information Systems)Unrestricte
The application of a social networking learning tool in a primary school within South Africa
Full text linkMini Dissertation (MBA)--Regenesys Business School, 2017.This mini dissertation is donated by Regenesys Business SchoolThe Internet has evolved since its establishment, embedding itself in daily life and paving the way for social networking. The ability to connect and communicate has become seamless, allowing instantaneous access to the Internet and social networking sites.
Social networking has become a global phenomenon, transcending boundaries and transforming mobile technology. It has gained an enormous following and become an indispensable technology. Social networking has expanded into a multi-faceted medium of communication, with an extensive online presence.
The capacity to share information and knowledge is essential in building intellectual capital in professional and academic environments. This research project aims to explore the application of a social networking learning tool in a primary school within South Africa. This study explores social networking technologies and the opportunities they present in facilitating and supporting learning.
Today’s youth are following technological advancements closely. At present, primary school and high school learners access a vast range of social networking sites, and the focus of this study is to understand if social networking sites can be applied to benefit learning.
This study elected to explore the social networking as a learning tool in a primary school within South Africa. This research followed a mixed methods approach and its findings indicate that social networking has the potential to be applied positively as a learning tool by school learners, teachers and academic heads.
This study revealed that learners and academics acknowledge the growth of social networking and recognise its potential benefits. This dissertation provides a foundation for schools and learning institutions in South Africa, Africa and the globe, to incorporate social networking into their learning framework in order to build and enhance learning.Gordon Institute of Business Science (GIBS)MBAUnrestricte
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