Dienst van SURF
© 2025 SURF
The increased importance attached by policy-makers to the anticipated developmental effects of tourism in developing countries has been insufficiently examined by academic researchers, particularly in the context of the contribution of small firms in urban areas. This deficiency is addressed by providing a review of existing research followed by an analysis of interviews with 90 tourism business located within and outside the townships of Langa and Imizamo Yethu, Cape Town, South Africa. The findings reveal tensions between the different actors involved in township tourism. While the involvement of small, locally owned, businesses is beneficial, it is limited by conflicts of interest, lack of trust, limited social networks and little attachment to the township locality. The discussion highlights the complexity of tourism's role in economic development, which has significant implications for local policy-makers.
In small businesses with no employees, learning environments have a low learning readiness. Consequently, learners need to rely on their own agency to shape their learning experiences. Results from a study of agricultural entrepreneurs indicated that the components of motivation and self-regulated learning strategies shape learner's agency and explain learning environment configuration in small businesses with no employees. Configuration of the learning environment was found to be a weak determinant of the learning performance of these learners. However, results showed that prior performance of learners in small businesses with no employees dictates how their agency operates and what learning effect is achieved; higher prior performance results in higher learning effects. We conclude that mechanisms that underlie learning in traditional learning environments work similarly in learning environments in small businesses with no employees.
This study aims to contribute to the few tools that are currently available for small businesses and startups in impact assessment (Shields & Shelleman, 2017) using the well-known framework of SDGs (United Nations, 2015).
Het project Early STATUS (Early Strategic Alerts for Turnaround of Small businesses) wil een instrument voor het vroegtijdig signaleren van stagnatie bij MKB bedrijven en een adviesmethode om de koers van deze bedrijven te wijzigen onderzoeken en testen. De vraagarticulatie bestond uit 26 interviews en 8 focusgroepen, in het kader van een KIEM subsidieproject. Uit het vooronderzoek komt naar voren dat het kleinere MKB, bedrijven met 10 tot 50 werknemers, kwetsbaar is voor verval: de waan van de dag regeert en er is weinig capaciteit om de bakens te verzetten. Dit is een structureel probleem en komt door de coronacrisis nijpender naar voren. Opvallend is dat accountants en bedrijfsadviseurs moeite hebben problemen tijdig te signaleren en te adresseren. In de wetenschappelijke literatuur is er weinig aandacht voor dit fenomeen. De vraagarticulatie heeft geleid naar de volgende behoefte: “een praktisch instrumentarium te gebruiken door mkb-ondernemers en hun adviseurs om strategische problemen vroegtijdig te signaleren en alle betrokkenen aan te zetten tot ingrijpen.” Het instrumentarium wordt ontwikkeld door een consortium dat bestaat uit 3 lectoren, 4 onderzoekers en 5 studenten van Hogeschool Rotterdam, aangevuld met een externe onderzoeker. Praktijkpartners zijn 2 accountantskantoren, 6 MKB adviesbureaus en accountancybrancheorganisatie SRA. De Universiteit van Leiden, Erasmus Universiteit Rotterdam en Montpellier Business School leveren academische experts. De hoofdvraag van het onderzoek luidt: “in welke mate draagt een vroegsignaleringsinstrument dat wordt uitgezet via een accountantskantoor bij ondernemers en medewerkers en daaropvolgend een adviesmethode die wordt toegepast door mkb-adviseurs en accountants bij aan het vroeg signaleren en verder voorkomen van verval bij mkb-ondernemingen met 10-50 medewerkers?” Het instrumentarium wordt door het onderzoekconsortium ontwikkeld en vervolgens getest door accountants en mkb-adviseurs bij hun cliënten: maakt het vroegsignaleringsinstrument een eventuele strategische crisis voldoende tijdig duidelijk en stimuleert de adviesmethode de betrokkenen voldoende om daadwerkelijk in te grijpen?
Positive Energy Districts (PEDs) can play an important part in the energy transition by providing a year-round net positive energy balance in urban areas. In creating PEDs, new challenges emerge for decision-makers in government, businesses and for the public. This proposal aims to provide replicable strategies for improving the process of creating PEDs with a particular emphasis on stakeholder engagement, and to create replicable innovative business models for flexible energy production, consumption and storage. The project will involve stakeholders from different backgrounds by collaborating with the province, municipalities, network operators, housing associations, businesses and academia to ensure covering all necessary interests and mobilise support for the PED agenda. Two demo sites are part of the consortium to implement the lessons learnt and to bring new insights from practice to the findings of the project work packages. These are 1), Zwette VI, part of the city of Leeuwarden (NL), where local electricity congestion causes delays in building homes and small industries. And 2) Aalborg East (DK), a mixed-use neighbourhood with well-established partnerships between local stakeholders, seeking to implement green energy solutions with ambitions of moving towards net-zero emissions.
The scientific publishing industry is rapidly transitioning towards information analytics. This shift is disproportionately benefiting large companies. These can afford to deploy digital technologies like knowledge graphs that can index their contents and create advanced search engines. Small and medium publishing enterprises, instead, often lack the resources to fully embrace such digital transformations. This divide is acutely felt in the arts, humanities and social sciences. Scholars from these disciplines are largely unable to benefit from modern scientific search engines, because their publishing ecosystem is made of many specialized businesses which cannot, individually, develop comparable services. We propose to start bridging this gap by democratizing access to knowledge graphs – the technology underpinning modern scientific search engines – for small and medium publishers in the arts, humanities and social sciences. Their contents, largely made of books, already contain rich, structured information – such as references and indexes – which can be automatically mined and interlinked. We plan to develop a framework for extracting structured information and create knowledge graphs from it. We will as much as possible consolidate existing proven technologies into a single codebase, instead of reinventing the wheel. Our consortium is a collaboration of researchers in scientific information mining, Odoma, an AI consulting company, and the publisher Brill, sharing its data and expertise. Brill will be able to immediately put to use the project results to improve its internal processes and services. Furthermore, our results will be published in open source with a commercial-friendly license, in order to foster the adoption and future development of the framework by other publishers. Ultimately, our proposal is an example of industry innovation where, instead of scaling-up, we scale wide by creating a common resource which many small players can then use and expand upon.