The future of the business sector for students in higher education is uncertain. The reasons for this are technological developments, the effects of globalisation and the shifting of business models (Brynjolfsson & McAfee, 2014; Helbing, 2014). The consequences of digitalisation and robotisation are large for professions in the financial-economic sector, such as accountancy and finance, business economy, and marketing (Frey & Osborne, 2013; Deloitte, 2016). As a result, certain jobs will disappear, but on the other hand new types of jobs will arise. It is expected that people in employment will have to have a strong adaptive ability to handle fast changes. There is an increasing expectation that they need to be mobile between employers and that they should be able to deal with a variety of new tasks, roles and positions (Dochy, Berghmans, Koenen, & Segers, 2015). Professionals need to have a sense of great flexibility in order to be able to anticipate these changes based on their own power and ambition. In addition to this adaptive ability, good interpersonal skills are essential due to the need for working in multidisciplinary teams on complex issues (Onstenk, 2017). The Social and Economic Council of the Netherlands (Sociaal-Economische Raad, 2017) presumes that the level of basic skills required to participate in an increasingly complex society is continuously growing, and they advise upcoming professionals to train their resistance, flexibility and the ability to continuously develop in order to maintain sustainable employability. In this way professionals regularly need to be able to reinvent themselves during periods of change (Van Water & Weggeman, 2017; Frie, Potting, Sjoer, & Van der Heijden, submitted for publication). This chapter will describe how the Department of Business, Finance & Marketing (BFM) of The Hague University of Applied Sciences (THUAS) has found an answer to the challenges of a Department-wide educational innovation. First it is outlined what this innovation involves and how it will be designed. The net paragraph clarifies the overlap in the competency profiles of the five programmes of BFM. Then the next steps of this educational innovation process are described. Finally, insights will be discussed as to the role of the lecturers and the business sector, as valuable partners, within this educational reform.
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This article aims to uncover the processes of developing sustainable business models in innovation ecosystems. Innovation ecosystems with sustainability goals often consist of cross-sector partners and need to manage three tensions: the tension of value creation versus value capture, the tension of mutual value versus individual value, and the tension of gaining value versus losing value. The fact that these tensions affect all actors differently makes the process of developing a sustainable business model challenging. Based on a study of four sustainably innovative cross-sector collaborations, we propose that innovation ecosystems that develop a sustainable business model engage in a process of valuing value in which they search for a result that satisfies all actors. We find two different patterns of valuing value: collective orchestration and continuous search. We describe these patterns and the conditions that give rise to them. The identification of the two patterns opens up a research agenda that can shed further light on the conditions that need to be in place in order for an innovation ecosystem to develop effective sustainable business models. For practice, our findings show how cross-sector actors in innovation ecosystems may collaborate when developing a business model around emerging sustainability-oriented innovations.
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To survive in the increasing globalization competition, companies are required to continuously increase their productivity and enhance innovation. To realize this enhanced productivity, Business Process Management (BPM) maturity models are often used to analyze, improve and manage business processes across the organization. Literature suggests that a relation between BPM maturity and innovation could exist and recommends more research in specific sectors. Specifically, the financial sector is facing a fintech revolution, putting an enormous pressure on how they deal with technology innovation, process disruption and service transformation. Therefore, the objective of this research is to determine the relation between business process management maturity and innovation in the financial sector. Data was collected using a survey at a large financial enterprise in Europe, resulting in sixty-eight responses. Regression analysis shows that 20.6% of the variance in innovation can be explained by BPM maturity.
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The complexity of Information Technology (IT) is increasing; so are customer expectations. Consequently it is not easy for especially small and medium enterprises (SMEs) to keep track of all IT-developments, let alone leverage them in business operations with the aim to satisfy increasingly demanding customers. This also holds for the health care sector. This research is focussed on first line health care, and deals with the following research question; ‘which IT capabilities do SMEs within the first line health care sector need to have at their disposal in order to reach Business/IT-Alignment (BITA) maturity?’ Using the best practices ITIL, ASL and BiSL (cf. Bon, et al. 2007), IT capabilities are formulated. Based on the theory of Luftman (2000) business/IT-alignment and maturity is measured. Quantitative research of 123 first line health care SMEs in the Netherlands, confirms a moderate to strong correlation between the IT capability constructs ‘Organisation’, ‘Processes’, ‘Knowledge’ and ‘People’ on the one hand, and BITA maturity on the other. The results indicate that SMEs within the first line health care sector should invest in IT capabilities related to the enterprise's ‘Organisation’ and ‘Processes’ to strive for increased business and IT maturity.
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Whitepaper: The use of AI is on the rise in the financial sector. Utilizing machine learning algorithms to make decisions and predictions based on the available data can be highly valuable. AI offers benefits to both financial service providers and its customers by improving service and reducing costs. Examples of AI use cases in the financial sector are: identity verification in client onboarding, transaction data analysis, fraud detection in claims management, anti-money laundering monitoring, price differentiation in car insurance, automated analysis of legal documents, and the processing of loan applications.
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from the article: "Purpose – The importance of contextual factors is increasingly recognized in the field of business process management (BPM). The purpose of this paper is to investigate the relation between BPM maturity and process performance and the uncharted differences of two contextual factors (size and sector) in this relation. Design/methodology/approach – An empirical investigation is presented based on a sample of 165 organizations. Using partial least square-multi group analysis (PLS-MGA) differences between size and sector are investigated. Findings – Overall, information technology, resources and knowledge and process measurement are the most pivotal BPM maturity dimensions that contribute to a better organizational process performance. The results showed no differences between private and public organizations in the relation between BPM maturity dimensions and process performance. In contrast, product organizations benefit more than service organizations from continuous improvement of their processes. Moreover, utilizing IT technology is more beneficial for small organizations rather than large organizations. Originality/value – There is a clear lack of empirical studies investigating the role of context. This research extends the limited body of literature that investigated contextual factors in the field of BPM. It is the first study to add size and sector in the posited multi-dimensional model of BPM maturity dimensions and process performance. The results provide guidance for scholars and practitioners that work on BPM practices in different contexts."
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This white paper is the result of a research project by Hogeschool Utrecht, Floryn, Researchable, and De Volksbank in the period November 2021-November 2022. The research project was a KIEM project1 granted by the Taskforce for Applied Research SIA. The goal of the research project was to identify the aspects that play a role in the implementation of the explainability of artificial intelligence (AI) systems in the Dutch financial sector. In this white paper, we present a checklist of the aspects that we derived from this research. The checklist contains checkpoints and related questions that need consideration to make explainability-related choices in different stages of the AI lifecycle. The goal of the checklist is to give designers and developers of AI systems a tool to ensure the AI system will give proper and meaningful explanations to each stakeholder.
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This report provides the global community of hospitality professionals with critical insights into emerging trends and developments, with a particular focus on the future of business travel. Business travellers play a pivotal role within the tourism industry, contributing significantly to international travel, GDP, and business revenues.In light of recent disruptions and evolving challenges, this forward-looking study aims not only to reflect on the past but, more importantly, to anticipate future developments and uncertainties in the realm of business travel. By doing so, it offers strategic insights to help hospitality leaders navigate the ever-evolving landscape of the industry.Key findings from the Yearly Outlook include:• Recovery of International Travel: By 2024, international travel arrivals have surpassed 2019 levels by 2%, signalling a full recovery in the sector. In Amsterdam, there was a 13% decrease in business traveller numbers, offset by an increase in the average length of stay from 2.34 to 2.71 days. Notably, more business travellers opted for 3-star accommodations, marking a shift in preferences.• Future of Business Travel: The report outlines a baseline scenario that predicts a sustainable, personalised, and seamless business travel experience by 2035. This future will likely be driven by AI integration, shifts in travel patterns—such as an increase in short-haul trips, longer stays combining business and leisure—and a growing focus on sustainability.• Potential Disruptors: The study also analyses several potential disruptors to these trends. These include socio-political shifts that could reverse sustainability efforts, risks associated with AI-assisted travel, the decline of less attractive business destinations, and the impact of global geopolitical tensions.The Yearly Outlook provides practical recommendations for hospitality professionals and tourism policymakers. These recommendations focus on building resilience, anticipating changes in business travel preferences, leveraging AI and technological advancements, and promoting sustainable practices within the industry.
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Recent economic crises, environmental problems and social challenges have urged us to drastically change our consumption and production patterns and transform organisations to contribute to socio-technical transitions that positively impact these challenges. Therefore, sustainable development and the transition towards a circular economy are gaining increased attention from academics and are being widely adopted by national and local governments, companies and other organisations and institutions. Since the implementation of more sustainable solutions lags behind expectations and technological possibilities, scholars and practitioners are increasingly seeing sustainable business model innovation as the key pathway to show the value potential of new sustainable technology and stress the importance of integrating the interests of multiple stakeholders and their economic, environmental and social value goals in the business model’s development. However, there is limited research that elucidates which stakeholders are actively involved, how they interact and what the effect is on the collaborative business modelling process for sustainability. This thesis addresses this research gap by building on the notion of business models as boundary-spanning activity-systems and studies stakeholder interaction from the level of a focal firm, as well as from the level of cross-sector actors collaborating in innovation ecosystems. Through four independent studies, three empirical studies and a design science study, this thesis aims to provide a better understanding of how stakeholder interaction affects collaborative business modelling for sustainability.The first study (Chapter 2) took a process perspective on interaction with network ties from the perspective of a focal firm. Based on two case studies of SMEs successfully introducing sustainable technology in the market, value shaping was identified as the operative mechanism describing the relation between networking and business modelling, from ideation to growth of the business. A stage model with five successive forms of value shaping describes how, in each stage, interaction with network ties help firms to clarify the types of economic, environmental and social value that a sustainable technology can deliver and who possible beneficiaries are. In return, changes in the business model clarify what other network ties are needed, demonstrating how the boundary-spanning function of business models spurs firms to expand and strengthen the value network.The second study (Chapter 3) focused on the commercialisation stage, in which a cognitive change in the manager’s mind was found during the development of a sustainable business model. Based on three empirical cases of business model innovations for sustainability, the study explored how stakeholder interaction may trigger and support managerial cognitive change and hence business model innovation. The findings suggest that the influence of stakeholders on the manager’s understanding of the business runs via three interrelated shaping processes: market approach shaping, product and/or service offering shaping and credibility shaping. In these shaping processes, new or latent stakeholders are found to have a bigger impact than existing ones. A research agenda is presented to further unravel the role of stakeholders affecting managerial cognition around business model innovation for sustainability.The third study (Chapter 4) examined innovation ecosystems’ processes of developing a collaborative business model for sustainability. Based on a study of four sustainably innovative cross-sector collaborations, this chapter studied how innovation ecosystems resolve the tensions that emerge from the collaborating actors’ divergent goals and interests. This study finds that innovation ecosystems engage in a process of valuing value that helps the actors to manage the tensions and find a balance of environmental, social and economic value creation and capture that satisfies all involved actors. The findings reveal that valuing value occurs in two different patterns – collective orchestration and continuous search – that open up a research agenda that can shed further light on the conditions that need to be in place in order for an innovation ecosystem to develop effective sustainable business models. The final study (Chapter 5) used a design science approach, developing a tool for innovation ecosystems’ actors to manage the degree to which stakeholders are involved throughout the process of collaborative business modelling for sustainability. The resulting ‘degree of engagement diagram’ and accompanying stepwise approach makes it possible to identify stakeholders from six cross-sector stakeholder groups that represent economic, social and environmental aspects of sustainable value and visualise their roles. By discriminating between four concentric and permeable circles of engagement, the tool integrates different degrees of involvement of stakeholders and enables users of the DoE diagram to accommodate changes that may occur in the evolving business model and its context. The tool enables innovation ecosystems’ actors to keep the collaboration manageable during the development of a joint and viable sustainable business model. Overall, this thesis extends the understanding of the dynamics of collaborative business modelling for sustainability and the role of stakeholder interaction therein. The research makes three key contributions to the sustainable business model innovation literature. First, it extends the literature by exploring the interplay between stakeholder interaction and business modelling over time. It establishes that stakeholder interaction and business modelling have a reciprocal relationship and contributes with two frameworks – value shaping and valuing value – that explain this reciprocal relationship for firms and innovation ecosystems. Second, the thesis unravels the micro-processes and mechanisms that elucidate how stakeholder interaction actually influences the direction into which the sustainable business model develops. Third, this thesis enriches the scholarly understanding of stakeholder interaction by identifying the main contributors to business model innovation for sustainability, by differentiating between stakeholders and their roles and by providing a tool that accommodates this. The research contributes to practice by offering practitioners useful insights on how they can increase, improve and effectuate stakeholder interaction in order to develop viable business models for sustainability and hence contribute to the desired socio-technical transitions.
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