Developing a research framework for understanding the social realities, with special reference to Sri Lankan entrepreneurs

This paper identifies and examines issues of relevance for increasing effectiveness of entrepreneurial management research. These issues emerged from research into entrepreneurial behaviour and underlying motivations in Sri Lanka. Understanding of socially- and culturally-bound social actors, social actions and social outputs in entrepreneurial activity requires context-sensitivity, expressed through cognisance of institutional characteristics, the interface between cultural values and business, and historical and cultural forces which impact on entrepreneurship. We suggest that this requires exploration through bottom-up translations of actions consistent with the beliefs and values of the actors involved, employing qualitative methodology to ground the reality of human behaviour in deep-rooted cultural and social contexts. Thorough interpretation of holistic case studies that are capable of capturing the actors' viewpoints brings appropriate insights to the field of entrepreneurship.

Are Sri Lankan entrepreneurs motivated by the need for achievement?

The entrepreneurship models in existence in Sri Lanka are often based on the assumptions of n-Ach and personality trait theory. In this paper we describe empirical research into entrepreneurial motivations in Sri Lanka that addresses the neglect of socio-cultural factors. Our findings suggest that entrepreneurial motivation in Sri Lanka is rooted not in a need for individual achievement, but in the conscious or unconscious need to satisfy a sense of social intimacy. The emphasis on social power, social relations and collectivism create a setting for entrepreneurial motivation in Sri Lanka that drives almost directly counter to western ideologies of entrepreneurial motivation (from paper).

A Neglected Aspect of Business: Human and Social Capital in the Sri Lankan Tea Plantations

This paper examines idiosyncrasies of tea plantation culture and politics in relation to Sri Lankan national and popular cultural typologies, with special reference to female tea plantation workers. Tea production in Sri Lanka is heavily based on manual labour, and it is the largest industry that provides accommodation for employees and their families. In this paper, it is argued that politico-cultural production relations have dominated labour productivity in tea plantations. Ways in which female workers have been marginalized, through patriarchal politics, ethnicity, religion, education, elitism, and employment are explained. This culture of the plantation community operates negatively with respect to the management agenda. It is also argued that social capital development in tea plantations is important not only for productivity improvement, but also for reasons of political and social obligation for the nation, because migrant plantation workers have been working and living in plantations over 150 years.

CENTRO DE ATENÇÃO PSICOSSOCIAL ÁLCOOL E DROGAS (CAPS-ad): A EX-PERIÊNCIA DOS PROFISSIONAIS DE SAÚDE MENTAL NUMA UNIDADE DA BAIXA MOGIANA

O uso abusivo de substâncias psicoativas tem sido objeto de preocupação e alvo de políticas públicas de enfrentamento, praticamente no mundo todo. O reconhecimento de que tal forma de uso acarreta relevantes consequências econômicas, sociais, acadêmicas, familiares e de saúde física e mental, tem levado as autoridades competentes a criar programas que visam a fazer frente à expansão desse fenômeno. No Brasil, após um período em que o tratamento oferecido aos usuários de substâncias era predominantemente asilar, vem ocorrendo mudanças significativas no modelo de atenção a essa população, notadamente com a implantação dos Centros de Atenção Psicossocial Álcool e Drogas, dentro da estrutura do Sistema Único de Saúde SUS. O presente estudo tem por objetivo identificar e analisar a percepção dos pro-fissionais de saúde mental que atuam no CAPS-ad, sobre a pertinência e a eficácia das abor-dagens e técnicas por eles utilizadas no atendimento aos usuários de substâncias psicoativas. Visa também a conhecer a formação acadêmica e complementar desses trabalhadores; a natu-reza das relações profissionais que se estabelecem entre os membros da equipe; os resultados obtidos com o trabalho e o grau de satisfação dos profissionais com esses resultados. Objetiva ainda a identificar a representação que eles fazem desses usuários e o grau de confiança na proposta CAPS-ad. Para a coleta de dados utilizou-se a técnica de entrevistas semi-estruturadas e o tratamento dos dados foi realizado com base na técnica de Análise de Conte-údo de Laurence Bardin. A investigação revelou que os profissionais não têm formação para lidar com dependência química, que a equipe não atua de forma interdisciplinar e que o trata-mento é realizado de forma aleatória e com baixa eficácia. A representação que fazem do usu-ário é a de um indivíduo doente e ou vitimado pelas condições familiares e sócio-econômicas. Constatou-se também que a maioria dos profissionais tem dúvidas quanto à adequação do CAPS-ad como proposta para cuidar dos usuários de álcool e outras drogas.

Neural networks for time-varying data

This paper reviews some basic issues and methods involved in using neural networks to respond in a desired fashion to a temporally-varying environment. Some popular network models and training methods are introduced. A speech recognition example is then used to illustrate the central difficulty of temporal data processing: learning to notice and remember relevant contextual information. Feedforward network methods are applicable to cases where this problem is not severe. The application of these methods are explained and applications are discussed in the areas of pure mathematics, chemical and physical systems, and economic systems. A more powerful but less practical algorithm for temporal problems, the moving targets algorithm, is sketched and discussed. For completeness, a few remarks are made on reinforcement learning.

Nonlinear loop mirror-based all-optical signal processing in fiber-optic communications

All-optical data processing is expected to play a major role in future optical communications. The fiber nonlinear optical loop mirror (NOLM) is a valuable tool in optical signal processing applications. This paper presents an overview of our recent advances in developing NOLM-based all-optical processing techniques for application in fiber-optic communications. The use of in-line NOLMs as a general technique for all-optical passive 2R (reamplification, reshaping) regeneration of return-to-zero (RZ) on-off keyed signals in both high-speed, ultralong-distance transmission systems and terrestrial photonic networks is reviewed. In this context, a theoretical model enabling the description of the stable propagation of carrier pulses with periodic all-optical self-regeneration in fiber systems with in-line deployment of nonlinear optical devices is presented. A novel, simple pulse processing scheme using nonlinear broadening in normal dispersion fiber and loop mirror intensity filtering is described, and its employment is demonstrated as an optical decision element at a RZ receiver as well as an in-line device to realize a transmission technique of periodic all-optical RZ-nonreturn-to-zero-like format conversion. The important issue of phase-preserving regeneration of phase-encoded signals is also addressed by presenting a new design of NOLM based on distributed Raman amplification in the loop fiber. © 2008 Elsevier Inc. All rights reserved.

Exploratory database visualisation: the application and assessment of data and dimensionality reduction

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'.

Novel approaches in nonlinear optical fibre-based signal processing

All-optical data processing is expected to play a major role in future optical communications. Nonlinear effects in optical fibres have many attractive features and a great, not yet fully explored potential in optical signal processing. Here, we overview our recent advances in developing novel techniques and approaches to all-optical processing based on optical fibre nonlinearities.

The autonomous navigation of an electric vehicle

A navigation and positioning system for an electric automatic guided vehicle has been designed and implemented on an industrial pallet truck. The system includes an optical sensor mounted on the vehicle, capable of recognizing special markers at a distance of 0.3m. Software implemented in a z-80 microprocessor controls the sensor, performs all data processing and contains the decision making processes necessary for the vehicle to navigate its way to its task location. A second microprocessor is used to control the vehicle's drive motors under instruction from the navigation unit, to accurately position the vehicle at its destination. The sensor reliably recognises markers at vehicle speeds up to 1ms- 1, and the system has been integrated into a multiprocessor controlled wire-guidance system and applied to a prototype vehicle.

Knowledge-based systems and engineering software

The work described was carried out as part of a collaborative Alvey software engineering project (project number SE057). The project collaborators were the Inter-Disciplinary Higher Degrees Scheme of the University of Aston in Birmingham, BIS Applied Systems Ltd. (BIS) and the British Steel Corporation. The aim of the project was to investigate the potential application of knowledge-based systems (KBSs) to the design of commercial data processing (DP) systems. The work was primarily concerned with BIS's Structured Systems Design (SSD) methodology for DP systems development and how users of this methodology could be supported using KBS tools. The problems encountered by users of SSD are discussed and potential forms of computer-based support for inexpert designers are identified. The architecture for a support environment for SSD is proposed based on the integration of KBS and non-KBS tools for individual design tasks within SSD - The Intellipse system. The Intellipse system has two modes of operation - Advisor and Designer. The design, implementation and user-evaluation of Advisor are discussed. The results of a Designer feasibility study, the aim of which was to analyse major design tasks in SSD to assess their suitability for KBS support, are reported. The potential role of KBS tools in the domain of database design is discussed. The project involved extensive knowledge engineering sessions with expert DP systems designers. Some practical lessons in relation to KBS development are derived from this experience. The nature of the expertise possessed by expert designers is discussed. The need for operational KBSs to be built to the same standards as other commercial and industrial software is identified. A comparison between current KBS and conventional DP systems development is made. On the basis of this analysis, a structured development method for KBSs in proposed - the POLITE model. Some initial results of applying this method to KBS development are discussed. Several areas for further research and development are identified.

User interface design support for the development of knowledge-based systems

The present scarcity of operational knowledge-based systems (KBS) has been attributed, in part, to an inadequate consideration shown to user interface design during development. From a human factors perspective the problem has stemmed from an overall lack of user-centred design principles. Consequently the integration of human factors principles and techniques is seen as a necessary and important precursor to ensuring the implementation of KBS which are useful to, and usable by, the end-users for whom they are intended. Focussing upon KBS work taking place within commercial and industrial environments, this research set out to assess both the extent to which human factors support was presently being utilised within development, and the future path for human factors integration. The assessment consisted of interviews conducted with a number of commercial and industrial organisations involved in KBS development; and a set of three detailed case studies of individual KBS projects. Two of the studies were carried out within a collaborative Alvey project, involving the Interdisciplinary Higher Degrees Scheme (IHD) at the University of Aston in Birmingham, BIS Applied Systems Ltd (BIS), and the British Steel Corporation. This project, which had provided the initial basis and funding for the research, was concerned with the application of KBS to the design of commercial data processing (DP) systems. The third study stemmed from involvement on a KBS project being carried out by the Technology Division of the Trustees Saving Bank Group plc. The preliminary research highlighted poor human factors integration. In particular, there was a lack of early consideration of end-user requirements definition and user-centred evaluation. Instead concentration was given to the construction of the knowledge base and prototype evaluation with the expert(s). In response to this identified problem, a set of methods was developed that was aimed at encouraging developers to consider user interface requirements early on in a project. These methods were then applied in the two further projects, and their uptake within the overall development process was monitored. Experience from the two studies demonstrated that early consideration of user interface requirements was both feasible, and instructive for guiding future development work. In particular, it was shown a user interface prototype could be used as a basis for capturing requirements at the functional (task) level, and at the interface dialogue level. Extrapolating from this experience, a KBS life-cycle model is proposed which incorporates user interface design (and within that, user evaluation) as a largely parallel, rather than subsequent, activity to knowledge base construction. Further to this, there is a discussion of several key elements which can be seen as inhibiting the integration of human factors within KBS development. These elements stem from characteristics of present KBS development practice; from constraints within the commercial and industrial development environments; and from the state of existing human factors support.