During the past two decades the implementation and adoption of information technology has rapidly increased. As a consequence the way businesses operate has changed dramatically. For example, the amount of data has grown exponentially. Companies are looking for ways to use this data to add value to their business. This has implications for the manner in which (financial) governance needs to be organized. The main purpose of this study is to obtain insight in the changing role of controllers in order to add value to the business by means of data analytics. To answer the research question a literature study was performed to establish a theoretical foundation concerning data analytics and its potential use. Second, nineteen interviews were conducted with controllers, data scientists and academics in the financial domain. Thirdly, a focus group with experts was organized in which additional data were gathered. Based on the literature study and the participants responses it is clear that the challenge of the data explosion consist of converting data into information, knowledge and meaningful insights to support decision-making processes. Performing data analyses enables the controller to support rational decision making to complement the intuitive decision making by (senior) management. In this way, the controller has the opportunity to be in the lead of the information provision within an organization. However, controllers need to have more advanced data science and statistic competences to be able to provide management with effective analysis. Specifically, we found that an important skill regarding statistics is the visualization and communication of statistical analysis. This is needed for controllers in order to grow in their role as business partner..
The role of expert knowledge of the environment in decision-making about urban development has been intensively debated, largely in terms of a so-called ‘science-policy gap’. Most contributions to this debate have studied the use of knowledge in the decision-making process from the knowledge providers’ point of view. In this paper, we reverse the perspective and try to unearth how decision-makers use scientific knowledge in decision-making about an urban plan. We confronted municipal administrators, responsible for local urban development, with conceptions of the use of knowledge that were derived from the literature on this issue. From the reactions obtained, we conclude that, in the context of urban redevelopment, local administrators hardly perceive a barrier between themselves as decision-makers and experts – both environmental scientists and urban designers. They do, however, acknowledge that experts and decision-makers have distinct roles: unlike experts, local administrators have to balance all interests relevant to an urban plan. It is argued, therefore, that experts should engage in providing better decision frameworks rather than more or better knowledge.
To achieve emission reduction targets and to improve local air quality of cities, the uptake of Electric Freight Vehicles (EFV) is essential. Knowledge concerning why companies do adopt EFV is lacking. Research about the diffusion of innovations and the market of EFV shows that frontrunner companies with an innovative or early adopting mindset are adopting (or willing to adopt) EFV. Increase in demand of EFV by such companies can help take a step forward towards mass production of EFV and eventually reduction in purchase cost of EFV. The main objective of this paper is to get insights into the decision-making attributes of frontrunner companies. A qualitative approach was used and 14 interviews were conducted among frontrunner companies delivering goods in the city of Amsterdam. Results show that innovators and early adopters are all motivated by socially or environmentally positive effects of EFV. Strategic motives played a role for all companies who already adopted EFV. All companies wanted to adopt EFV but technical limitations, due specialrequirements for the goods transported, are a reason to not adopt EFV. Getting insights into the preferences of frontrunner companies, the (local) authorities can adjust their policy, schemes and sustainability campaigns to attract more companies adopting EFV. Manufacturing companies can use the insights from this research to adapt their vehicle technology to answer needs of the potential customer for faster adoption rate.
The impacts of tourism on destinations and the perceptions of local communities have been a major concern both for the industry and research in the past decades. However, tourism planning has been mainly focused on traditions that promote the increase of tourism without taking under consideration the wellbeing of both residents and visitors. To develop a more sustainable tourism model, the inclusion of local residents in tourism decision-making is vital. However, this is not always possible due to structural, economic and socio-cultural restrictions that residents face resulting to their disempowerment. This study aims to explore and interpret the formal processes around tourism decision-making and community empowerment in urban settings. The research proposes a comparative study of three urban destinations in Europe (The Hague in the Netherlands, San Sebastian in Spain and, Ioannina in Greece) that experience similar degree of tourism growth. The proposed study will use a design-based approach in order to understand tourism decision-making and what empowers or disempowers community participation within the destinations. Based on the findings of primary and secondary data, a community empowerment model will be applied in one the destinations as a pilot for resident engagement in tourism planning. The evaluation of the pilot will allow for an optimized model to be created with implications for tourism planning at a local level that can contribute to sustainable destinations that safeguard the interests of local residents and tourists.
The IMPULS-2020 project DIGIREAL (BUas, 2021) aims to significantly strengthen BUAS’ Research and Development (R&D) on Digital Realities for the benefit of innovation in our sectoral industries. The project will furthermore help BUas to position itself in the emerging innovation ecosystems on Human Interaction, AI and Interactive Technologies. The pandemic has had a tremendous negative impact on BUas industrial sectors of research: Tourism, Leisure and Events, Hospitality and Facility, Built Environment and Logistics. Our partner industries are in great need of innovative responses to the crises. Data, AI combined with Interactive and Immersive Technologies (Games, VR/AR) can provide a partial solution, in line with the key-enabling technologies of the Smart Industry agenda. DIGIREAL builds upon our well-established expertise and capacity in entertainment and serious games and digital media (VR/AR). It furthermore strengthens our initial plans to venture into Data and Applied AI. Digital Realities offer great opportunities for sectoral industry research and innovation, such as experience measurement in Leisure and Hospitality, data-driven decision-making for (sustainable) tourism, geo-data simulations for Logistics and Digital Twins for Spatial Planning. Although BUas already has successful R&D projects in these areas, the synergy can and should significantly be improved. We propose a coherent one-year Impuls funded package to develop (in 2021): 1. A multi-year R&D program on Digital Realities, that leads to, 2. Strategic R&D proposals, in particular a SPRONG/sleuteltechnologie proposal; 3. Partnerships in the regional and national innovation ecosystem, in particular Mind Labs and Data Development Lab (DDL); 4. A shared Digital Realities Lab infrastructure, in particular hardware/software/peopleware for Augmented and Mixed Reality; 5. Leadership, support and operational capacity to achieve and support the above. The proposal presents a work program and management structure, with external partners in an advisory role.
Digitalisation has enabled businesses to access and utilise vast amounts of data. Business data analytics allows companies to employ the most recent and relevant data to comprehend situations and enhance decision-making. While the value of data itself is limited, substantial value can be directly or indirectly uncovered from data. This process is referred to as data monetisation. The most successful stories of data monetisation often originate from large corporations, as they have adequate resources to monetise their data. Notably, many such cases arise from prominent Big Tech companies in North America. In contrast, small and medium-sized enterprises (SMEs) have lagged behind in utilising their digital data assets effectively. They are frequently constrained by limited resources to build up capabilities and fully exploit their data. This places them at a strategic disadvantage, particularly as digitalisation is progressively reshaping markets and competitive relationships. Furthermore, the use of digital technologies and data are important in addressing societal challenges such as energy conservation, circularity, and the ageing of the population. This lag has been highlighted by SMEs we have engaged with, where managing directors have indicated their desire to operate based on data, but their companies lack the know-how and are unsure of ‘where to start’. Together with eight SMEs and other partners, we have defined a research project to gain insight into the potential and obstacles of data monetisation in SMEs. More specifically, we will explore how SMEs can transform data into strategic assets and create value. We attempt to demonstrate the journey of data monetisation and illustrate different possibilities to create value from data in SMEs. We will take a holistic approach to examine different aspects of data monetisation and their associations. The outcomes of this project are both practical and academic, such as an SME handbook, academic papers, and case studies.
