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.
Human Resource Management (HRM) is widely believed to have a positive effect on the performance of company. However, empirical proof of this is hard to come by. In this study, we try to establish a linkage between HRM and financial output of two case studies in the profit sector. To do this, we have developed a performance measurement system that is tailored to the specific needs of measuring HRM-performance in for-profit of company. Although we do not try to generalize the outcome of this study, it looks promising in the way that more case studies should be conducted using this specific performance measurement system. If nothing else, management and controllers could use the system to evaluate the performance of their HRM-tools.
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.
The project is a field study for several diverse hotel chains, including individual properties operated under the Marriott brand, Postillion Hotels. Each brand has unique values, missions, and visions. Therefore, this integration will lead to the development of company-specific sustainability strategies and processes. The study will use the model of levers of control to provide such tailor-made solutions and determine if a generic approach can be developed to match a corporate sustainability strategy with a corporate strategy and develop a supporting management control system for operationalizing the sustainability strategy. Research question: How can a hotel brand formulate and implement a sustainability strategy with a supporting management control system that not only complies with the new CSRD (Corporate Sustainability Reporting Directive) legislation but also emphasizes the creation of substantial value in financial and ESG (Environmental, Social, and Governance) aspects, based on double materiality, in line with the organization's corporate values and beliefs? Objective The aim is to develop a validated method, including tools, that hotels can use to create a sustainability strategy in line with the CSRD guidelines. This strategy should create value for the organization, the environment, and society, while aligning with the hotel's values and beliefs. Merely being compliant with the CSRD is not enough for hotels. Instead, they should view the implementation of the CSRD as an opportunity to stand out in terms of sustainability. By creating value in areas such as environment, safety, and governance, or through the six capitals (financial, manufactured, intellectual, human, social and relationship, and natural) that align with the UN-SDGs, and explicitly taking both an inside-out and an outside in perspective (double materiality), hotels can significantly enhance their sustainability reputation.
In order to achieve much-needed transitions in energy and health, systemic changes are required that are firmly based on the principles of regard for others and community values, while at the same time operating in market conditions. Social entrepreneurship and community entrepreneurship (SCE) hold the promise to catalyze such transitions, as they combine bottom-up social initiatives with a focus on financially viable business models. SCE requires a facilitating ecosystem in order to be able to fully realize its potential. As yet it is unclear in which way the entrepreneurial ecosystem for social and community entrepreneurship facilitates or hinders the flourishing and scaling of such entrepreneurship. It is also unclear how exactly entrepreneurs and stakeholders influence their ecosystem to become more facilitative. This research programme addresses these questions. Conceptually it integrates entrepreneurial ecosystem frameworks with upcoming theories on civic wealth creation, collaborative governance, participative learning and collective action frameworks.This multidisciplinary research project capitalizes on a unique consortium: the Dutch City Deal ‘Impact Ondernemen’. In this collaborative research, we enhance and expand current data collection efforts and adopt a living-lab setting centered on nine local and regional cases for collaborative learning through experimenting with innovative financial and business models. We develop meaningful, participatory design and evaluation methods and state-of-the-art digital tools to increase the effectiveness of impact measurement and management. Educational modules for professionals are developed to boost the abovementioned transition. The project’s learnings on mechanisms and processes can easily be adapted and translated to a broad range of impact areas.
Collaborative networks for sustainability are emerging rapidly to address urgent societal challenges. By bringing together organizations with different knowledge bases, resources and capabilities, collaborative networks enhance information exchange, knowledge sharing and learning opportunities to address these complex problems that cannot be solved by organizations individually. Nowhere is this more apparent than in the apparel sector, where examples of collaborative networks for sustainability are plenty, for example Sustainable Apparel Coalition, Zero Discharge Hazardous Chemicals, and the Fair Wear Foundation. Companies like C&A and H&M but also smaller players join these networks to take their social responsibility. Collaborative networks are unlike traditional forms of organizations; they are loosely structured collectives of different, often competing organizations, with dynamic membership and usually lack legal status. However, they do not emerge or organize on their own; they need network orchestrators who manage the network in terms of activities and participants. But network orchestrators face many challenges. They have to balance the interests of diverse companies and deal with tensions that often arise between them, like sharing their innovative knowledge. Orchestrators also have to “sell” the value of the network to potential new participants, who make decisions about which networks to join based on the benefits they expect to get from participating. Network orchestrators often do not know the best way to maintain engagement, commitment and enthusiasm or how to ensure knowledge and resource sharing, especially when competitors are involved. Furthermore, collaborative networks receive funding from grants or subsidies, creating financial uncertainty about its continuity. Raising financing from the private sector is difficult and network orchestrators compete more and more for resources. When networks dissolve or dysfunction (due to a lack of value creation and capture for participants, a lack of financing or a non-functioning business model), the collective value that has been created and accrued over time may be lost. This is problematic given that industrial transformations towards sustainability take many years and durable organizational forms are required to ensure ongoing support for this change. Network orchestration is a new profession. There are no guidelines, handbooks or good practices for how to perform this role, nor is there professional education or a professional association that represents network orchestrators. This is urgently needed as network orchestrators struggle with their role in governing networks so that they create and capture value for participants and ultimately ensure better network performance and survival. This project aims to foster the professionalization of the network orchestrator role by: (a) generating knowledge, developing and testing collaborative network governance models, facilitation tools and collaborative business modeling tools to enable network orchestrators to improve the performance of collaborative networks in terms of collective value creation (network level) and private value capture (network participant level) (b) organizing platform activities for network orchestrators to exchange ideas, best practices and learn from each other, thereby facilitating the formation of a professional identity, standards and community of network orchestrators.
