The Experts below are selected from a list of 123030 Experts worldwide ranked by ideXlab platform
Johan Lambrecht - One of the best experts on this subject based on the ideXlab platform.
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barriers to refugee entrepreneurship in belgium towards an Explanatory Model
Journal of Ethnic and Migration Studies, 2008Co-Authors: Bram Wauters, Johan LambrechtAbstract:The integration of refugees in Western societies is often perceived as problematic, both by refugees and by the native population. By promoting refugee entrepreneurship, integration into the host society can be assisted, and domestic entrepreneurship boosted. Refugee entrepreneurship has been an underdeveloped domain of scientific research. The number of refugee entrepreneurs in Belgium is limited and they earn less than other self-employed people. Interviewing advisors and refugee entrepreneurs yields several insights into the obstacles encountered. These are grouped under three headings: market opportunities and access to entrepreneurship, human capital and social networks, and the institutional and societal environment. It appears that refugees suffer more from barriers than other immigrants.
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multigenerational transition in family businesses a new Explanatory Model
Family Business Review, 2005Co-Authors: Johan LambrechtAbstract:This article presents an Explanatory Model for transfer of family businesses to following generations. Our research using 10 case studies shows that transfer of family businesses is a lifelong, continuous process, in which the family must address and foster the soft elements of the transfer process: enterpreneurship, freedom, values, outside experience, upbringing, and education. Furthermore, a business family can develop into a family dynasty only when it embraces sound governance as a fundamental principle; that is, the individual family member belongs to the family, which belongs to the business.
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the network position of small businesses an Explanatory Model
Journal of Small Business Management, 1997Co-Authors: Rik Donckels, Johan LambrechtAbstract:The economic arena is growing more and more complex by the day - competition is stiffening, market demand is changing constantly, and government intervention does not make things easier. Small businesses are constantly faced with this incontrovertible reality. No doubt new opportunities are created, but there are certainly risks involved too. Networking, with its emphasis on informality and opportunism, is seen as an ideal mechanism for thriving in these variable environmental conditions (Birley, Cromie, and Myers 1991). The popular image of the entrepreneur as an isolated figure who overcomes obstacles and fends off dangers alone is at best incomplete (Dollinger 1985). Networks, involving organized systems of relationships between entrepreneurs and the outside world, are particularly valuable to the small business sector. The fragility which accompanies small size can be offset by the supportive environment provided by resilient networks (Szarka 1990). The research literature covers a wide variety of theoretical perspectives on network activity. Although some empirical work on the potential of network analysis for organizational interventions by means of "blockModelling" has been carried out (White, Boorman, and Breiger 1976; Nelson 1988), as yet little has been done to make network theory operational in a way practical enough to help organizations position themselves in networks or develop network strategies (Paasche, Pettersen, and Solem 1993; Lago 1995; Provan and Milward 1995). With this article, we try to fill the empirical gap by analyzing the causal relationship between entrepreneur- and enterprise-related factors and networks, with the intention of contributing to the understanding of the factors that promote network formation. An in-depth analysis of these Explanatory factors is deemed to be necessary before there can be discussion of the transferability of attractive network Models and of policy initiatives to that end (Szarka 1990). In this article, we will first present the conceptual Model, which describes the important role of entrepreneur- and enterprise-related characteristics on the network scene and the choice of network variables. This is followed by a description of the hypotheses anti by the methodology. Then we analyze the empirical results of the impact of entrepreneur- and enterprise-related elements on network formation. Finally, the main research results and their policy implications for small business owners, supporting institutions, and researchers are discussed. Conceptual Model Although the literature describes anti explains networks in many different ways, there is agreement that networks consist of organized systems of relationships, and hence a network is generally defined as a specific type of relation linking a defined set of persons, objects, or events (Nelson 1988; Szarka 1990). In this article, we shall not concentrate on the reasons why small businesses develop and participate in networks (for example, transaction cost motives, resource dependence, trust, and strategic considerations), but instead on the possible influence of entrepreneur- and enterprise-related characteristics on networks. Entrepreneur-related factors are included because research suggests that the entrepreneurs, embedded in their businesses and in the external environment, are the actual composers of the network elements. Birley (1990) stresses the fact that every set of relationships is unique and is determined by the person creating the network. In addition, entrepreneurs do not readily delegate network activity to subordinates (Birley, Cromie, and Myers 1991). Other studies have shown that a number of features specific to the company, such as its financial situation, orientation towards growth, organization, and approach to the human factor, differ according to the size of the company and the industry sector (Donckels et al. 1987; Donckels and Hoebeke 1991a, 1991b; Gray 1993). …
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Networks and Small Business Growth: An Explanatory Model
Small Business Economics, 1995Co-Authors: Rik Donckels, Johan LambrechtAbstract:To date, there has been limited empirical research related to network theory. With this article, we have tried to fill this gap by testing an Explanatory Model of the impact of networks on small business growth. To analyze this causal relationship, the log-linear technique was used. The results suggest that networks have an influence on the growth of a small business, especially through contacts with national and international entrepreneurs. Copyright 1995 by Kluwer Academic Publishers
Laura Sukhnandan - One of the best experts on this subject based on the ideXlab platform.
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undergraduate non completion developing an Explanatory Model
Higher Education Quarterly, 1998Co-Authors: Jenny Ozga, Laura SukhnandanAbstract:This paper presents an Explanatory Model of undergraduate non-completion based, primarily, on the findings of a qualitative case study. Previous research in the field of non-completion is briefly reviewed. Such work is somewhat limited in its Explanatory usefulness because it tends to focus on the student as the problem. The causes of non-completion can only be fully understood as the culmination of a complex social process of student-institution interaction which operates within the context of change in higher education. From this sociologically-informed theoretical framework an Explanatory Model has been devised that shows how the process of withdrawal for conventional students (i.e. students who enter HE through the traditional academic route) is markedly different from that for mature students. For conventional students the factors which appear to be of central importance are student preparedness, compatibility of choice, and time of exit. In contrast, mature students are often forced into non-completion because of external circumstances. Following a detailed description of our Explanatory Model of undergraduate non-completion, we present a number of strategies for intervention at both national and institutional levels and outline the implications for higher education policy.
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Undergraduate Non‐Completion: Developing an Explanatory Model
Higher Education Quarterly, 1998Co-Authors: Jenny Ozga, Laura SukhnandanAbstract:This paper presents an Explanatory Model of undergraduate non-completion based, primarily, on the findings of a qualitative case study. Previous research in the field of non-completion is briefly reviewed. Such work is somewhat limited in its Explanatory usefulness because it tends to focus on the student as the problem. The causes of non-completion can only be fully understood as the culmination of a complex social process of student-institution interaction which operates within the context of change in higher education. From this sociologically-informed theoretical framework an Explanatory Model has been devised that shows how the process of withdrawal for conventional students (i.e. students who enter HE through the traditional academic route) is markedly different from that for mature students. For conventional students the factors which appear to be of central importance are student preparedness, compatibility of choice, and time of exit. In contrast, mature students are often forced into non-completion because of external circumstances. Following a detailed description of our Explanatory Model of undergraduate non-completion, we present a number of strategies for intervention at both national and institutional levels and outline the implications for higher education policy.
Kamaldeep Bhui - One of the best experts on this subject based on the ideXlab platform.
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the barts Explanatory Model inventory for dementia an item reduction approach based on responses from south asian communities
International Journal of Geriatric Psychiatry, 2020Co-Authors: Eleni Kampanellou, Mark Wilberforce, Angela Worden, Clarissa M Giebel, David Challis, Kamaldeep BhuiAbstract:BACKGROUND: Cultural differences in how the symptoms, causes, consequences, and treatments of dementia are understood and interpreted by South Asian people are a commonly expressed reason for late- or nonuse of mental health and care services. However, systematic collection of information on South Asian perceptions of dementia is hindered by a lack of appropriate instrumentation. OBJECTIVES: To produce a shortened version of the Barts Explanatory Model Inventory for Dementia (BEMI-D) schedule. METHODS: A two stage item reduction approach was employed first using multidimensional scaling categorizing items as core, intermediate, or outlier. Then, item review was undertaken using three criteria: literature importance, clinical face validity, and sub-group prevalence. The analysis followed a nonmetric multidimensional scaling method based on a two-way proximity matrix. RESULTS: The original BEMI-D had 197 items allocated to four checklists: symptoms, causes, consequences and treatments. The two stage item reduction approach resulted in the removal of 75 items. These reductions were achieved across all four checklists in relatively equal proportions. There was no evidence of substantive content loss in the revised schedule. The reduced version of the schedule comprises 122 items. CONCLUSIONS: A condensed version of the BEMI-D is more efficient as an assessment schedule that captures the culturally diverse perceptions of memory problems for South Asians offering a balanced trade-off between feasibility of use and content validity. This article is protected by copyright. All rights reserved.
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concept development and application of a new mixed method assessment of cultural variations in illness perceptions barts Explanatory Model inventory
Journal of Health Psychology, 2009Co-Authors: K Rudell, Kamaldeep Bhui, Stefan PriebeAbstract:In urban inner city areas, health professionals meet many individuals from diverse cultural groups that they need to understand, assess and treat effectively. This article describes the concept, development and application of a new assessment tool (the Barts Explanatory Model Inventory) that aims to help health professionals determine illness perceptions and treatment preferences of distress. The article describes the tool's background in theories of illness perception, gives a brief review of currently available instruments and describes the systematic development of this new instrument. Results from the first application are discussed to determine benefits and weaknesses of the new tool.
Therese S. Richmond - One of the best experts on this subject based on the ideXlab platform.
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An Explanatory Model of functional status in chronic obstructive pulmonary disease.
Nursing Research, 1997Co-Authors: Terri E. Weaver, Therese S. Richmond, Georgia L. NarsavageAbstract:The purpose of this study was to test an Explanatory Model of variables influencing functional status in chronic obstructive pulmonary disease (COPD). The sample consisted of 104 patients with COPD (85 males, 19 females, mean age = 65.5, SD = 7.7). The variables in the initial Model were age, length of illness, pulmonary function, oxygen desaturation during exercise, dyspnea, depressed mood, anxiety, self-esteem, exercise capacity, and functional status. Path analysis revealed that exercise capacity (beta = .337, p = .0007), dyspnea (beta = .324, p = .0009), and depressed mood (beta = -.204, p = .011) directly influenced functional status Dyspnea (beta = .488, p < .0001), depression (beta = -.217, p = .003), and pulmonary function (beta = .421, p < .0001) indirectly influenced functional status through exercise capacity. Self-esteem (beta = -.492, p = .004) and anxiety (beta = .696, p < .0001) indirectly influenced functional status through depressed mood. The findings of this study suggest that efforts to improve functional status of individuals with COPD should focus on interventions that influence exercise capacity, dyspnea, anxiety, and depressed mood.
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An Explanatory Model of variables influencing postinjury disability.
Nursing research, 1997Co-Authors: Therese S. RichmondAbstract:This descriptive longitudinal study based on Nagi's theory of the disabling process tested an Explanatory Model of the relative influence of biologic, environmental, and behavioral/lifestyle risk factors on each other and on postinjury disability after non-central nervous system traumatic injury. Data are reported on the sample of 109 subjects who remained in the study through 3 months post-hospital discharge. Subjects experienced a fairly severe level of injury (mean injury severity of 15.5; mean of number of injuries 4.4) and are representative of an urban trauma population. The trimmed Explanatory Model demonstrated that 67% of the variance in postinjury disability was accounted for by postinjury functional limitations, post-traumatic psychological distress, pre-injury disability, and age. Age indirectly influenced postinjury disability through its effects on pre-injury functional limitations and pre-injury disability. Social network indirectly influenced disability through its effect on post-traumatic psychological distress. Patients whose maximal injuries involved the extremities and pelvic girdle had significantly higher levels of postinjury functional limitations than those with maximal injuries involving any other body system.
Jenny Ozga - One of the best experts on this subject based on the ideXlab platform.
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undergraduate non completion developing an Explanatory Model
Higher Education Quarterly, 1998Co-Authors: Jenny Ozga, Laura SukhnandanAbstract:This paper presents an Explanatory Model of undergraduate non-completion based, primarily, on the findings of a qualitative case study. Previous research in the field of non-completion is briefly reviewed. Such work is somewhat limited in its Explanatory usefulness because it tends to focus on the student as the problem. The causes of non-completion can only be fully understood as the culmination of a complex social process of student-institution interaction which operates within the context of change in higher education. From this sociologically-informed theoretical framework an Explanatory Model has been devised that shows how the process of withdrawal for conventional students (i.e. students who enter HE through the traditional academic route) is markedly different from that for mature students. For conventional students the factors which appear to be of central importance are student preparedness, compatibility of choice, and time of exit. In contrast, mature students are often forced into non-completion because of external circumstances. Following a detailed description of our Explanatory Model of undergraduate non-completion, we present a number of strategies for intervention at both national and institutional levels and outline the implications for higher education policy.
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Undergraduate Non‐Completion: Developing an Explanatory Model
Higher Education Quarterly, 1998Co-Authors: Jenny Ozga, Laura SukhnandanAbstract:This paper presents an Explanatory Model of undergraduate non-completion based, primarily, on the findings of a qualitative case study. Previous research in the field of non-completion is briefly reviewed. Such work is somewhat limited in its Explanatory usefulness because it tends to focus on the student as the problem. The causes of non-completion can only be fully understood as the culmination of a complex social process of student-institution interaction which operates within the context of change in higher education. From this sociologically-informed theoretical framework an Explanatory Model has been devised that shows how the process of withdrawal for conventional students (i.e. students who enter HE through the traditional academic route) is markedly different from that for mature students. For conventional students the factors which appear to be of central importance are student preparedness, compatibility of choice, and time of exit. In contrast, mature students are often forced into non-completion because of external circumstances. Following a detailed description of our Explanatory Model of undergraduate non-completion, we present a number of strategies for intervention at both national and institutional levels and outline the implications for higher education policy.
