843 resultados para Salaried manager
Resumo:
La presente tesis se centra en diseñar, definir e implementar una estrategia de marketing basada en un software de CRM (Customer Relationship Manager), para un micromercado comercializador de productos de consumo masivo ubicado en el sector de la Floresta en Quito. En el capítulo I, se describe la importancia de la formulación de la estrategia corporativa y de marketing, en base a una adecuada segmentación por clúster a las bases de datos de clientes y como las mismas deben levantarse y construirse en la organización. En el capítulo II, se hace un análisis situacional del micromercado tomando en cuenta el macro ambiente, medio ambiente y micro ambiente, se realiza la definición de la estrategia de marketing del negocio, en la que se establecen los objetivos estratégicos de marketing de largo plazo 2.012 – 2.016 y los objetivos tácticos de marketing de corto plazo. En el capítulo III, se realiza una investigación de mercado con el objetivo de determina la factibilidad de implementar una estrategia de marketing basada en un software de CRM al micromercado y a las diferentes MIPYMES ubicadas en el sector de la Floresta. Determinada la factibilidad,en el capítulo IV,se define como se realiza dicha implementación en el micromercado, tomando como modelo los cuatro pilares básicos del CRM, a) estrategia, b) personas, c) proceso y d) tecnología. En el capítulo V, se realizan las conclusiones a la presente tesis y se sugieren las respectivas recomendaciones que se pueden seguir.
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By the end of the summer, the EU will launch new crisis management missions in the Horn of Africa, Niger and South Sudan. In this CEPS Commentary, Giovanni Faleg and Steven Blockmans question whether the new deployments will revive the EU’s persona as a global security actor. The authors point out that, without the backing of a comprehensive security strategy rationale, the EU’s re-engagement as a crisis manager that opts for small-scale operations will be seen as a continuation of its sleepwalking through a changing geostrategic landscape.
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In this paper we present an architecture for network and applications management, which is based on the Active Networks paradigm and shows the advantages of network programmability. The stimulus to develop this architecture arises from an actual need to manage a cluster of active nodes, where it is often required to redeploy network assets and modify nodes connectivity. In our architecture, a remote front-end of the managing entity allows the operator to design new network topologies, to check the status of the nodes and to configure them. Moreover, the proposed framework allows to explore an active network, to monitor the active applications, to query each node and to install programmable traps. In order to take advantage of the Active Networks technology, we introduce active SNMP-like MIBs and agents, which are dynamic and programmable. The programmable management agents make tracing distributed applications a feasible task. We propose a general framework that can inter-operate with any active execution environment. In this framework, both the manager and the monitor front-ends communicate with an active node (the Active Network Access Point) through the XML language. A gateway service performs the translation of the queries from XML to an active packet language and injects the code in the network. We demonstrate the implementation of an active network gateway for PLAN (Packet Language for Active Networks) in a forty active nodes testbed. Finally, we discuss an application of the active management architecture to detect the causes of network failures by tracing network events in time.
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Active queue management (AQM) policies are those policies of router queue management that allow for the detection of network congestion, the notification of such occurrences to the hosts on the network borders, and the adoption of a suitable control policy. This paper proposes the adoption of a fuzzy proportional integral (FPI) controller as an active queue manager for Internet routers. The analytical design of the proposed FPI controller is carried out in analogy with a proportional integral (PI) controller, which recently has been proposed for AQM. A genetic algorithm is proposed for tuning of the FPI controller parameters with respect to optimal disturbance rejection. In the paper the FPI controller design metodology is described and the results of the comparison with random early detection (RED), tail drop, and PI controller are presented.
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Commitment of employees is relatively low in construction. This problem is exasperated by companies inability to attract, motivate, and retain talent that is then often channelled into other more attractive industrial sectors where the prospects, conditions and rewards are perceived to be much higher. The purpose of this study is thus primarily to develop a generic model to maximise employees' engagement, improve their motivation and increase the retention levels. To achieve this aim, the investigation looks into how perceived employment obligations and expectations impact commitment and through that organisational performance. The study is based on the postulations of Luhmann's theory of social systems with communication viewed as a constitutive element of a social system. Consequently expectations of a particular party in an employment relationship are represented in a communicative space requiring the other party's understanding in order to align expectations of both sides in the relationship. Explicitly, alignment of by an employee perceived manager's expectations determines his/ her commitment to fulfil obligations towards the manager. The result of this first stage of research is a conceptual model developed following the substantial supporting evidence in the literature and it forms the framework for mitigation of low commitment, motivation and retention of employees. The model particularly focuses on factors affecting employees' perceived expectations like reneging, incongruence and the process of communication. In the future the model will be validated using empirical data from a combination of observational and enquiry-based research. Once completed, the model will provide a framework for informing Human Resource Management policies with the aim to improve commitment of employees, increase the levels of retention and consequently improve the performance of construction organisations.
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Purpose – The main aim of this paper is to present the results of a study examining managers' attitudes towards the deployment and use of information and communications technology (ICT) in their organisations. The study comes at a time when ICT is being recognised as a major enabler of innovation and new business models, which have the potential to have major impact on western economies and jobs. Design/methodology/approach – A questionnaire was specially designed to collect data relating to three research questions. The questionnaire also included a number of open-ended questions. A total of 181 managers from a wide range of industries across a number of countries participated in the electronic survey. The quantitative responses to the survey were analysed using SPSS. Exploratory factor analysis using Varimax rotation was used and ANOVA to compare responses by different groups. Findings – The survey showed that many of the respondents appeared equipped to work “any place, any time”. However, it also highlighted the challenges managers face in working in a connected operation. Also, the data suggested that many managers were less than confident about their companies' policies and practices in relation to information management. Originality/value – A next step from this exploratory research could be the development of a model exploring the impact of ICT on management and organisational performance in terms of personal characteristics of the manager, the role performed, the context and the ICT provision. Also, further research could focus on examining in more detail differences between management levels.
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While building provides shelter for human being, the previous models for assessing the intelligence of a building seldom consider the responses of occupants. In addition, the assessment is usually conducted by an authority organization on a yearly basis, thus can seldom provide timely assistance for facility manager to improve his daily facility maintenance performance. By the extending the law of entropy into the area of intelligent building, this paper demonstrate that both energy consumption and the response of occupants are important when partially assessing the intelligence of a building. This study then develops a sensor based real time building intelligence (BI) assessment model. An experimental case study demonstrates how the model can be implemented. The developed model can address the two demerits of the previous BI assessment model.
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The term commercial management has been used for some time, similarly the job title commercial manager. However, as of yet, little emphasis has been placed on defining. This paper presents the findings from a two-year research initiative that has compared and contrasted the role of commercial managers from a range of organisations and across industry sectors, as a first step in developing a body of knowledge for commercial. It is argued that there are compelling arguments for considering commercial management, not solely as atask undertaken by commercial managers, but as a discipline in itself: a discipline that, arguably, bridges traditional project management and organisational theories. While the study has established differences in approach and application both between and within industry sectors, it has established sufficient similarity and synergy in practice to identify a specific role of commercial management in project-based organisations. These similarities encompass contract management and dispute resolution; the divergences include a greater involvement in financial and value management in construction and in bid management in defence/aerospace.
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Objective: Relatives play a vital role in caring for patients with severe mental illness but receive inadequate support from psychiatric services. Evidence suggests that although intensive case management is directed primarily at patients, relatives may benefit a's well. This study examined whether relatives of patients who were receiving intensive case management had more contact with mental health professionals than relatives of patients who were receiving standard case management. It also examined whether relatives of patients receiving intensive case management appraised caregiving less negatively and experienced less psychological distress than relatives of patients receiving standard case management. Methods: The sample was drawn from the pool of patients participating in the UK700 randomized controlled trial of intensive case management. Prospective data on contact between case managers and the relatives of 146 patients were collected over a two-year period. At a two-year follow-up assessment, relatives of 116 patients were. interviewed with the Experience of Caregiving Inventory and the 12-item General Health Questionnaire. Results: Considerably more relatives of patients receiving intensive case management had contact with a case manager during the study period than relatives of patients receiving standard case management (70 percent compared with 45 percent). However, relatives of patients receiving intensive case management did not-appraise caregiving less negatively or experience less psychological distress than relatives of patients who were receiving. standard case management. Conclusions: Reducing case managers' caseloads alone. will not guarantee adequate support for relatives.. Instead, providing more support will need to be an explicit aim, and staff will require specific additional training to achieve it.
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A connection between a fuzzy neural network model with the mixture of experts network (MEN) modelling approach is established. Based on this linkage, two new neuro-fuzzy MEN construction algorithms are proposed to overcome the curse of dimensionality that is inherent in the majority of associative memory networks and/or other rule based systems. The first construction algorithm employs a function selection manager module in an MEN system. The second construction algorithm is based on a new parallel learning algorithm in which each model rule is trained independently, for which the parameter convergence property of the new learning method is established. As with the first approach, an expert selection criterion is utilised in this algorithm. These two construction methods are equivalent in their effectiveness in overcoming the curse of dimensionality by reducing the dimensionality of the regression vector, but the latter has the additional computational advantage of parallel processing. The proposed algorithms are analysed for effectiveness followed by numerical examples to illustrate their efficacy for some difficult data based modelling problems.
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There is a substantial literature which suggests that appraisals are smoothed and lag the true level of prices. This study combines a qualitative interview survey of the leading fund manager/owners in the UK and their appraisers with a empirical study of the number of appraisals which change each month within the IPD Monthly Index. The paper concentrates on how the appraisal process operates for commercial property performance measurement purposes. The survey interviews suggest that periodic appraisal services are consolidating in fewer firms and, within these major firms, appraisers adopt different approaches to changing appraisals on a period by period basis, with some wanting hard transaction evidence while others act on "softer' signals. The survey also indicates a seasonal effect with greater effort and information being applied to annual and quarterly appraisals than monthly. The analysis of the appraisals within the Investment Property Databank Monthly Index confirms this effect with around 5% more appraisals being moved at each quarter day than the other months. January and August have significantly less appraisal changes than other months.