Recent research has indicated an increase in the likelihood and impact of tree failure. The potential for trees to fail relates to various biomechanical and physical factors. Strikingly, there seems to be an absence of tree risk assessment methods supported by observations, despite an increasing availability of variables and parameters measured by scientists, arborists and practitioners. Current urban tree risk assessments vary due to differences in experience, training, and personal opinions of assessors. This stresses the need for a more objective method to assess the hazardousness of urban trees. The aim of this study is to provide an overview of factors that influence tree failure including stem failure, root failure and branch failure. A systematic literature review according to the PRISMA guidelines has been performed in databases, supported by backward referencing: 161 articles were reviewed revealing 142 different factors which influenced tree failure. A meta-analysis of effect sizes and p-values was executed on those factors which were associated directly with any type of tree failure. Bayes Factor was calculated to assess the likelihood that the selected factors appear in case of tree failure. Publication bias was analysed visually by funnel plots and results by regression tests. The results provide evidence that the factors Height and Stem weight positively relate to stem failure, followed by Age, DBH, DBH squared times H, and Cubed DBH (DBH3) and Tree weight. Stem weight and Tree weight were found to relate positively to root failure. For branch failure no relating factors were found. We recommend that arborists collect further data on these factors. From this review it can further be concluded that there is no commonly shared understanding, model or function available that considers all factors which can explain the different types of tree failure. This complicates risk estimations that include the failure potential of urban trees.
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The main purpose of this dissertation is to identify the factors that explain success and failure in SME business transfers. Three key concepts have been defined in the research framework: firm resources, capabilities (of predecessor and successor) and (successor’s) strategic renewal. Altogether these three key concepts serve as predictors for the transfer outcomes: exit choice, transfer duration, obtained price, satisfaction and the post-transfer firm performance. Testing reveals that both firm resources and owner capabilities are of importance for exit choice. Results indicate further that especially “acquisition experience” and “years of ownership” predict the exit choice in well performing firms. In poorly performing firms, firm resources prevail as the predictors for exit choice. Most consistently, owner capabilities like “familiarity with the successor” and “flexibility” and not firm resources predict success during a transfer. The firm resource “succession planning” predicts only the level of satisfaction with the transfer. Regarding owner capabilities, a distinction is made between generic and specific human capital. Results indicate the importance of specific human capital (owner competencies and experience) rather than generic human capital (level of education). All types of renewal (i.e. product/market innovation, organizational change or a combination of the two) after succession show better post-transfer firm performance compared to no changes in the first two years.
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Within recent years, Financial Credit Risk Assessment (FCRA) has become an increasingly important issue within the financial industry. Therefore, the search for features that can predict the credit risk of an organization has increased. Using multiple statistical techniques, a variance of features has been proposed. Applying a structured literature review, 258 papers have been selected. From the selected papers, 835 features have been identified. The features have been analyzed with respect to the type of feature, the information sources needed and the type of organization that applies the features. Based on the results of the analysis, the features have been plotted in the FCRA Model. The results show that most features focus on hard information from a transactional source, based on official information with a high latency. In this paper, we readdress and -present our earlier work [1]. We extended the previous research with more detailed descriptions of the related literature, findings, and results, which provides a grounded basis from which further research on FCRA can be conducted.
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World globalisation drives companies to undertake international expansion with the aim of retaining or growing their businesses. When companies globalize, managers encounter new challenges in making international marketing strategy (IMS) decisions, which are influenced by perceived cultural and business distance between their home- and foreign country. Telkom Indonesia International (Telin) was formed by Telkom Indonesia (i.e. the state-owned company in the telecommunication industry in Indonesia) to engage in international business within a global market. The central question in this study is to what extent do managers’ perceived cultural and business distance between home- and foreign country influence their IMS decisions? A mixed research strategy will be employed by applying qualitative and quantitative methods concurrently. The data collection will involve interviews with CEOs and managers, alongside a web survey to 55 managers of Telkom's. Results suggest important consequences for IMS decisions and emphasizes the need for dialogue on perceptions of cultural and business characteristics of countries.
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Every year I talk to many entrepreneurs about business transfers and acquisitions. Only rarely do they tell me that it was a cinch. Buying or selling a business is complex. For a start, a business should be shipshape from an organizational and administrative perspective, while several legal and fiscal matters also affect the transaction. Moreover, many parties are involved in a business transfer: the buyer and the seller, of course, but also the employees, the spouse and/or family of the entrepreneur, the customers and suppliers. Emotions and trust also play a central role in selling a firm. Many owner/managers find it hard to abandon their business. The fact that a transaction of fixed assets may also be involved is another complicating factor. Is it a good thing to include fixed assets in the sale, or in fact the reverse? Considering that most people find it quite hard to sell their own house, engaging an estate agent to do it for them, it is understandable that buying and selling a business is a transaction fraught with difficulties.
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This paper seeks to contribute to sustainable business model innovation (SBMI) literature. It aims to do so by putting forward a relatively simple tool that simultaneously calculates the financial value alongside sustainability impact based on the Sustainable Development Goals (SDGs) of a proposed business model innovation. For small businesses to validate the outcome of a proposed SBMI, some form of sustainability measurement will be necessary. Simple tooling specifically aimed at small businesses do not exist. We address this gap in how to predict or create a prognosis of the combined financial and sustainability effect of a proposed business model (BM) in a frugal (easy, time and knowledge effective) and effectual (allowing for iterations, available means and calculating affordable loss) manner. The tool is called the Pos-FSBC (Positive Financial and Sustainability Business Case). The instrument is a calculation model in Excel where users insert a limited number of numerical variables. Alongside financial variables the tool uniquely links the key variable ∆ SDG to the expected quantity sold, it then calculates the contribution to the SDGs in a relevant and measurable unit. By being successful with a sustainable innovation, the tool helps businesses drive out nonsustainable competitors. The tool has been iteratively developed and tested in several students’ projects and in a pilot with practitioners. Based on the findings we propose more iterations to develop an understanding whether the tool inspires business change and if so how.
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Proceedings of the IASPM Benelux conference. Popular Music: Theory and Practice in the Lowlands.
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Purpose: Intellectual capital theory and practice predominantly focus on measuring and managing intangible assets. However, if we want to balance the intellectual capital books (Harvey and Lusch, 1999), we should recognize both intellectual assets and intellectual liabilities (Caddy, 2000). Therefore, the purpose of this article is to present a theoretical framework for measuring intellectual liabilities. Design: Identifying intangible liabilities is identifying the risk of decline and fall of organizations. One of the first extensive studies related to causes of decline and fall is Gibbon‟s Decline and Fall of the Roman Empire (Gibbon, 2003 [original publication 1776]). It seems as if the main lessons that were drawn from this study are also applicable to today‟s business environment. Therefore, the framework that is developed in this article is not only based on intellectual capital literature, but also on Gibbon‟s study into the causes of decline and fall of the Roman Empire. Findings: The findings are combined in a framework for measuring intellectual liabilities. The main distinction within the proposed framework is the distinction between internal and external liabilities. Internal liabilities refer to the causes of deterioration that arise from the sources of value creation within the organization. External liabilities refer to the causes of deterioration that come from outside and are beyond control of the organization. Originality: This article explores a relatively new topic (intellectual liabilities) from a perspective (historical sciences) that is hardly used in management science.
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Lectorale rede
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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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