From the publishers' website: The goal of this research is to define a method for configuring a collaborative business rules management solution from a value proposition perspective. In an earlier published study (Business rules management solutions: added value by means of business interoperability. In: van Sinderen M, Oude Luttighuis P, Folmer E, Bosms S (eds), International IFIP working conference on enterprise interoperability, vol 144. Springer, Twente, pp 145---157, 2013) we took a business rules perspective on interorganisational collaboration optimization, when we addressed the question what the relation was between types of business interoperability and an organisation's business rules management solution. Different types of collaboration were defined and subsequently combined with eleven identified types of service systems; these service systems together make up the business rules management solution. In this paper we re-address and -present our earlier work, yet based on the findings, we extend it with the construction of a method for determining the configuration of collaborative business rules management solutions. This method is tested by applying it to a case study at an alliance of airlines. Presented results provide a grounded basis from which empirical and practical research on business rules management solutions can be further explored.
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Business decisions and business logic are an important part of an organization’s daily activities. In the not so near past they were modelled as integrative part of business processes, however, during the last years, they are managed as a separate entity. Still, decisions and underlying business logic often remain a black box. Therefore, the call for transparency increases. Current theory does not provide a measurable and quantitative way to measure transparency for business decisions. This paper extends the understanding of different views on transparency with regards to business decisions and underlying business logic and presents a framework including Key Transparency Indicators (KTI) to measure the transparency of business decisions and business logic. The framework is validated by means of an experiment using case study data. Results show that the framework and KTI’s are useful to measure transparency. Further research will focus on further refinement of the measurements as well as further validation of the current measurements.
An overview of innovations in a particular area, for example retail developments in the fashion sector (Van Vliet, 2014), and a subsequent discussion about the probability as to whether these innovations will realise a ‘breakthrough’, has to be supplemented with the question of what the added value is for the customer of such a new service or product. The added value for the customer must not only be clear as to its direct (instrumental or hedonic) incentives but it must also be tested on its merits from a business point of view. This requires a methodology. Working with business models is a method for describing the added value of products/services for customers in a systematic and structured manner. The fact that this is not always simple is evident from the discussions about retail developments, which do not excel in well-grounded business models. If there is talk about business models at all, it is more likely to concern strategic positioning in the market or value chain, or the discussion is about specifics like earning- and distribution-models (see Molenaar, 2011; Shopping 2020, 2014). Here we shall deal with two aspects of business models. First of all we shall look at the different perspectives in the use of business models, ultimately arriving at four distinctive perspectives or methods of use. Secondly, we shall outline the context within which business models operate. As a conclusion we shall distil a research framework from these discussions by presenting an integrated model as the basis for further research into new services and product.
GAMEHEARTS will seek to maximise the value of the European videogame industry ecosystems (hereafter, EVGIE) within a wider social context of the creative and cultural industries (hereafter, CCI). This will consider the importance of the EVGIE in contributing to economic growth, job creation, physical and mental wellbeing, and social and cultural cohesion, by particularly focusing on, how a stronger and closer working relationship between more the traditional and emergent cultural sectors, can work better to create more inclusive and socially responsible cultural experiences. The consortium will offer policy recommendations and roadmaps setting out how the EVGIE can and should develop, and where it could act as a driver for sustained innovation and economic growth. It will utilise an evidence-based approach that focuses not just on videogame development, but rather adopts a holistic ecosystem approach, utilising both established and more innovative methodologies, to consider the competitiveness and development of the EVGIE, and how videogame know-how and technologies could drive innovation in the wider CCI. In doing so, GAMEHEARTS will develop ‘ludic experiences’, to explore possibilities of more inclusive, engaging, and empowering cultural experiences. Working across seven work packages the universities of Salford (UK), Tampere (Finland), Vienna (Austria), Breda University of Applied Sciences (Netherlands), and Wroclaw University of Economics and Business (Poland) will work in parentship with Ubisoft (France) and other major videogame partners and associations (including the ISFE & EGDF) to explore current and future trends in the EVGIE.
HTIT-EN (Hospitality, Tourism, Innovation & Technology Experts Network) unites professors and researchers from five leading academies in hospitality and tourism (Hotelschool The Hague, Hotel Management School Maastricht / Zuyd, Breda University of Applied Sciences, Saxion Hogeschool, NHL Stenden). Our primary goal is to coordinate efforts in setting a joint research agenda, focused on the overall question: "How can the Dutch hospitality and tourism sector, which has a profound societal presence and encompasses a diverse range of workers and stakeholders, leverage its transversal character to generate extensive societal impact through the utilization of emerging technological innovations?" Early industry adoption of emerging technologies, including robotics, immersive experiences, and artificial intelligence, make hospitality and tourism ideal contexts to serve as a catalyst for innovation and societal impact. By integrating complementary expertise of the leading professors in areas like strategic foresight, disruptive transformations, technology management, and digital transformation and by engaging in collaboration with external knowledge institutions (MBO, HBO, WO), the Centre of Expertise Leisure, Tourism & Hospitality, business professionals, and industry associations, our vision is to acknowledge the hospitality and tourism industry as a dynamic basis for generating technology-driven, positive societal change. HTIT-EN's ultimate goal is to rise to the status of a globally renowned knowledge platform, specializing in technological innovation within the domain of hospitality and tourism, within the next 5 years. To achieve this aspiration, we are committed to fostering collaboration and aligning expertise across the participating institutions, as well as extending an invitation to additional partners from both the practical and academic fields related to this network. This collaborative effort will enable us to leverage each other’s expertise and resources and fully utilize the transversal characteristics of the Dutch tourism and hospitality industry, developing it to a catalyst for technology-driven innovation with wide and lasting societal implications across the Netherlands.
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.
