25 resultados para financial institutions

em Aston University Research Archive


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The central goal of this research is to explore the approach of the Islamic banking industry in defining and implementing religious compliance at regulatory, institutional, and individual level within the Islamic Banking and Finance (IBF) industry. It also examines the discrepancies, ambiguities and paradoxes that are exhibited in the individual and institutional behaviour in relation to the infusion and enactment of religious exigencies into compliance processes in IBF. Through the combined lenses of institutional work and a sensemaking perspective, this research portrays the practice of infusion of Islamic law in Islamic banks as being ambiguous and drifting down to the institutional and actor levels. In instances of both well-codified and non-codified regulatory frameworks for Shariah compliance, institutional rules ambiguity, rules interpretation and enactment ambiguities were found to be prevalent. The individual IBF professionals performed retrospective and prospective actions to adjust the role and rules boundaries both in the case of a Muslim and a non-Muslim country. The sensitizing concept of religious compliance is the primary theoretical contribution of this research and provides a tool to understand the nature of what constitutes Shariah compliance and the dynamics of its implementation. It helps to explain the empirical consequences of the lack of a clear definition of Shariah compliance in the regulatory frameworks and standards available for the industry. It also addresses the calls to have a clear reference on what constitute Shariah compliance in IBF as proposed in previous studies (Hayat, Butter, & Kock, 2013; Maurer, 2003, 2012; Pitluck, 2012). The methodological and theoretical perspective of this research are unique in the use of multi-level analysis and approaches that blend micro and macro perspectives of the research field, to illuminate and provide a more complete picture of religious compliance infusion and enactment in IBF.

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Drawing from work found in the financial innovation literature, the main objective of this research is to explore the effect of religious orientation towards financial innovation and engineering in Islamic Financial Institutions (IFIs). The research also examines what constitutes this religious orientation and how it is enacted in the innovation process. Religious orientation towards financial innovation is conceptualised and defined, as a system, in this research study. In order to achieve this objective, the study employs multiple theoretical perspectives to develop its theoretical framework. It combines innovation orientation theory with the theory on boundary objects to explore the role of religion in the financial innovation processes in IFIs. Religious orientation

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Risk and knowledge are two concepts and components of business management which have so far been studied almost independently. This is especially true where risk management (RM) is conceived mainly in financial terms, as for example, in the financial institutions sector. Financial institutions are affected by internal and external changes with the consequent accommodation to new business models, new regulations and new global competition that includes new big players. These changes induce financial institutions to develop different methodologies for managing risk, such as the enterprise risk management (ERM) approach, in order to adopt a holistic view of risk management and, consequently, to deal with different types of risk, levels of risk appetite, and policies in risk management. However, the methodologies for analysing risk do not explicitly include knowledge management (KM). This research examines the potential relationships between KM and two RM concepts: perceived quality of risk control and perceived value of ERM. To fulfill the objective of identifying how KM concepts can have a positive influence on some RM concepts, a literature review of KM and its processes and RM and its processes was performed. From this literature review eight hypotheses were analysed using a classification into people, process and technology variables. The data for this research was gathered from a survey applied to risk management employees in financial institutions and 121 answers were analysed. The analysis of the data was based on multivariate techniques, more specifically stepwise regression analysis. The results showed that the perceived quality of risk control is significantly associated with the variables: perceived quality of risk knowledge sharing, perceived quality of communication among people, web channel functionality, and risk management information system functionality. However, the relationships of the KM variables to the perceived value of ERM are not identified because of the low performance of the models describing these relationships. The analysis reveals important insights into the potential KM support to RM such as: the better adoption of KM people and technology actions, the better the perceived quality of risk control. Equally, the results suggest that the quality of risk control and the benefits of ERM follow different patterns given that there is no correlation between both concepts and the distinct influence of the KM variables in each concept. The ERM scenario is different from that of risk control because ERM, as an answer to RM failures and adaptation to new regulation in financial institutions, has led organizations to adopt new processes, technologies, and governance models. Thus, the search for factors influencing the perceived value of ERM implementation needs additional analysis because what is improved in RM processes individually is not having the same effect on the perceived value of ERM. Based on these model results and the literature review the basis of the ERKMAS (Enterprise Risk Knowledge Management System) is presented.

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Strategy is a pervasive and consequential practice in most Western societies. We respond to strategy's importance by drawing an initial map of strategy as an organizational field that embraces not just firms, but consultancies, business schools, the state and financial institutions. Using the example of Enron, we show how the strategy field is prone to manipulations in which other actors in the field can easily become entrapped, with grave consequences. Given these consequences, we argue that it is time to take strategy seriously in three senses: undertaking systematic research on the field itself; developing appropriate responses to recent failures in the field; and building more heedful interrelationships between actors within the field, particularly between business schools and practitioners.

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In recent years the scale and scope of retailer internationalisation activity has grown markedly, mainly through increasing levels of cross-border merger and acquisition activity. This has been particularly prevalent among companies operating in the food retail sector. During this time, and within the context of increased merger and acquisition activity in international markets, the financial institutions have taken an increasingly prominent role in the retail internationalisation process. Explores the nature of the financial institutions’ role in the retailer internationalisation process and, specifically, the extent to which the financial institutions actually inhibit and/or promote retail international activity. A key purpose of this study is to examine some of the drivers and inhibitors of the retailer internationalisation process. Reports the findings from 30 in-depth interviews with food retail analysts of the leading investment banks in the City of London. The findings from this study should help to provide further insights into the nature of the retailer internationalisation process.

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This thesis describes the development of a complete data visualisation system for large tabular databases, such as those commonly found in a business environment. A state-of-the-art 'cyberspace cell' data visualisation technique was investigated and a powerful visualisation system using it was implemented. Although allowing databases to be explored and conclusions drawn, it had several drawbacks, the majority of which were due to the three-dimensional nature of the visualisation. A novel two-dimensional generic visualisation system, known as MADEN, was then developed and implemented, based upon a 2-D matrix of 'density plots'. MADEN allows an entire high-dimensional database to be visualised in one window, while permitting close analysis in 'enlargement' windows. Selections of records can be made and examined, and dependencies between fields can be investigated in detail. MADEN was used as a tool for investigating and assessing many data processing algorithms, firstly data-reducing (clustering) methods, then dimensionality-reducing techniques. These included a new 'directed' form of principal components analysis, several novel applications of artificial neural networks, and discriminant analysis techniques which illustrated how groups within a database can be separated. To illustrate the power of the system, MADEN was used to explore customer databases from two financial institutions, resulting in a number of discoveries which would be of interest to a marketing manager. Finally, the database of results from the 1992 UK Research Assessment Exercise was analysed. Using MADEN allowed both universities and disciplines to be graphically compared, and supplied some startling revelations, including empirical evidence of the 'Oxbridge factor'.

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A notable feature of the recent commercialisation of biotechnology has been the success of 200 or so new firms, established in America since 1976, in exploiting specialised market niches. A key factor in their formation has been the ready availability of venture capital funding. These firms have been instrumental in establishing America's lead in exploiting biotechnology. It is this example which Britain has attempted to emulate as part of its strategy for developing its own biotechnology capabilities. This thesis investigated some aspects of the relationship between biotechnology and venture capital, concentrating on the determinants of the venture capitalist's investment decision. Following an extensive literature survey, two hypothetical business proposals were used to find what venture capitalists themselves consider to be the key elements of this decision. It was found that venture capitalists invest in people, not products, and businesses, not industries. It was concluded that venture capital-backed small firms should, therefore, be seen as an adjunct to the development of biotechnology in Britain, rather than as a substitute for a co-ordinated, co-operative strategy involving Government, the financial institutions, industry and academia. This is chiefly because the small size of the UK's domestic market means that many potentially important innovations in biotechnology may continue to be lost, since the short term identification of market opportunities for biotechnology products will dictate that they are insupportable in Britain alone. In addition, the data analysis highlighted some interesting methodological issues concerning the investigation of investment decision making. These related especially to shortcomings in the use of scoresheets and questionnaires in research in this area. The conclusion here was that future research should concentrate on the reasons why an individual reaches an investment decision. It is argued that only in this way can the nature of the evaluation procedures employed by venture capitalists be properly understood.

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This paper employs a Component GARCH in Mean model to show that house prices across a number of major US cities between 1987 and 2009 have displayed asset market properties in terms of both risk-return relationships and asymmetric adjustment to shocks. In addition, tests for structural breaks in the mean and variance indicate structural instability across the data range. Multiple breaks are identified across all cities, particularly for the early 1990s and during the post-2007 financial crisis as housing has become an increasingly risky asset. Estimating the models over the individual sub-samples suggests that over the last 20 years the financial sector has increasingly failed to account for the levels of risk associated with real estate markets. This result has possible implications for the way in which financial institutions should be regulated in the future.

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This paper explores the nature of private social and environmental reporting (SER). From interviews with UK institutional investors, we show that both investors and investees employ Goffmanesque, staged impression management as a means of creating and disseminating a dual myth of social and environmental accountability. The interviewees' utterances unveil private meetings imbued with theatrical verbal and physical impression management. Most of the time, the investors' shared awareness of reality belongs to a Goffmanesque frame whereby they accept no intentionality, misrepresentation or fabrication, believing instead that the 'performers' (investees) are not intending to deceive them. A shared perception that social and environmental considerations are subordinated to financial issues renders private SER an empty encounter characterised as a relationship-building exercise with seldom any impact on investment decision-making. Investors spoke of occasional instances of fabrication but these were insufficient to break the frame of dual myth creation. They only identified a handful of instances where intentional misrepresentation had been significant enough to alter their reality and behaviour. Only in the most extreme cases of fabrication and lying did the staged meeting break frame and become a genuine occasion of accountability, where investors demanded greater transparency, further meetings and at the extreme, divested shares. We conclude that the frontstage, ritualistic impression management in private SER is inconsistent with backstage activities within financial institutions where private financial reporting is prioritised. The investors appeared to be in a double bind whereby they devoted resources to private SER but were simultaneously aware that these efforts may be at best subordinated, at worst ignored, rendering private SER a predominantly cosmetic, theatrical and empty exercise. © 2013 Elsevier Ltd.

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Risk management and knowledge management have so far been studied almost independently. The evolution of risk management to the holistic view of Enterprise Risk Management requires the destruction of barriers between organizational silos and the exchange and application of knowledge from different risk management areas. However, knowledge management has received little or no attention in risk management. This paper examines possible relationships between knowledge management constructs related to knowledge sharing, and two risk management concepts: perceived quality of risk control and perceived value of enterprise risk management. From a literature review, relationships with eight knowledge management variables covering people, process and technology aspects were hypothesised. A survey was administered to risk management employees in financial institutions. The results showed that the perceived quality of risk control is significantly associated with four knowledge management variables: perceived quality of risk knowledge sharing, perceived quality of communication among people, web channel functionality, and risk management information system functionality. However, the relationships of the knowledge management variables to the perceived value of enterprise risk management are not significant. We conclude that better knowledge management is associated with better risk control, but that more effort needs to be made to break down organizational silos in order to support true Enterprise Risk Management.

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Since its introduction in 1978, data envelopment analysis (DEA) has become one of the preeminent nonparametric methods for measuring efficiency and productivity of decision making units (DMUs). Charnes et al. (1978) provided the original DEA constant returns to scale (CRS) model, later extended to variable returns to scale (VRS) by Banker et al. (1984). These ‘standard’ models are known by the acronyms CCR and BCC, respectively, and are now employed routinely in areas that range from assessment of public sectors, such as hospitals and health care systems, schools, and universities, to private sectors, such as banks and financial institutions (Emrouznejad et al. 2008; Emrouznejad and De Witte 2010). The main objective of this volume is to publish original studies that are beyond the two standard CCR and BCC models with both theoretical and practical applications using advanced models in DEA.