A study on the Effect of Psychological Empowerment on Job Satisfaction and Job Related Stress Among the Bank Employees

This study focuses on psychological empowerment of employees in banking sector because of the reasons stated below: Firstly, very little research has been conducted in understanding empowerment as a psychological construct. Majority of the studies have been conducted on the various empowerment practices in the organizations. Secondly, there is no empirical evidence that the empowerment practice will create a subjective feeling of empowerment within the individual. Employee empowerment will be effective only if the employees actually experience the empowerment. Even if the organizations have the empowerment practices like providing power and open communication it is not necessary that the employee is empowered. Empowerment describes only the condition of work environment. It does not describe employees’ response to these conditions. These responses form the basis for psychological empowerment

Factors affecting choice of financial services among rural consumers: Emerging experiences from Gicumbi District, northern Province in Rwanda

Enhancement of financial inclusivity of rural communities is often recognised as a key strategy for achieving economic development in third world countries. The main objective of this study was to examine the factors that influence consumers’ choice of a rural bank in Gicumbi district of Rwanda. Data was collected using structured questionnaires and analysed using a binary probit regression model and non-parametric procedures. Most consumers were aware of Popular Bank of Rwanda (BPR) and Umurenge SACCO through radio advertisements, social networks and community meetings. Accessibility, interest rates and quality of services influenced choice of a given financial intermediary. Moreover, the decision to open a rural bank account was significantly influenced by education and farm size (p<0.1). These results indicate the need for financial managers to consider these findings for successful marketing campaigns.

An R Library for Compositional Data Analysis in Archaeometry

Compositional data naturally arises from the scientific analysis of the chemical composition of archaeological material such as ceramic and glass artefacts. Data of this type can be explored using a variety of techniques, from standard multivariate methods such as principal components analysis and cluster analysis, to methods based upon the use of log-ratios. The general aim is to identify groups of chemically similar artefacts that could potentially be used to answer questions of provenance. This paper will demonstrate work in progress on the development of a documented library of methods, implemented using the statistical package R, for the analysis of compositional data. R is an open source package that makes available very powerful statistical facilities at no cost. We aim to show how, with the aid of statistical software such as R, traditional exploratory multivariate analysis can easily be used alongside, or in combination with, specialist techniques of compositional data analysis. The library has been developed from a core of basic R functionality, together with purpose-written routines arising from our own research (for example that reported at CoDaWork'03). In addition, we have included other appropriate publicly available techniques and libraries that have been implemented in R by other authors. Available functions range from standard multivariate techniques through to various approaches to log-ratio analysis and zero replacement. We also discuss and demonstrate a small selection of relatively new techniques that have hitherto been little-used in archaeometric applications involving compositional data. The application of the library to the analysis of data arising in archaeometry will be demonstrated; results from different analyses will be compared; and the utility of the various methods discussed

CODAPACK3D. A new version of Compositional Data Package

The statistical analysis of compositional data should be treated using logratios of parts, which are difficult to use correctly in standard statistical packages. For this reason a freeware package, named CoDaPack was created. This software implements most of the basic statistical methods suitable for compositional data. In this paper we describe the new version of the package that now is called CoDaPack3D. It is developed in Visual Basic for applications (associated with Excel©), Visual Basic and Open GL, and it is oriented towards users with a minimum knowledge of computers with the aim at being simple and easy to use. This new version includes new graphical output in 2D and 3D. These outputs could be zoomed and, in 3D, rotated. Also a customization menu is included and outputs could be saved in jpeg format. Also this new version includes an interactive help and all dialog windows have been improved in order to facilitate its use. To use CoDaPack one has to access Excel© and introduce the data in a standard spreadsheet. These should be organized as a matrix where Excel© rows correspond to the observations and columns to the parts. The user executes macros that return numerical or graphical results. There are two kinds of numerical results: new variables and descriptive statistics, and both appear on the same sheet. Graphical output appears in independent windows. In the present version there are 8 menus, with a total of 38 submenus which, after some dialogue, directly call the corresponding macro. The dialogues ask the user to input variables and further parameters needed, as well as where to put these results. The web site http://ima.udg.es/CoDaPack contains this freeware package and only Microsoft Excel© under Microsoft Windows© is required to run the software. Kew words: Compositional data Analysis, Software

Application of compositional data analysis to geochemical data of marine sediments

In an earlier investigation (Burger et al., 2000) five sediment cores near the Rodrigues Triple Junction in the Indian Ocean were studied applying classical statistical methods (fuzzy c-means clustering, linear mixing model, principal component analysis) for the extraction of endmembers and evaluating the spatial and temporal variation of geochemical signals. Three main factors of sedimentation were expected by the marine geologists: a volcano-genetic, a hydro-hydrothermal and an ultra-basic factor. The display of fuzzy membership values and/or factor scores versus depth provided consistent results for two factors only; the ultra-basic component could not be identified. The reason for this may be that only traditional statistical methods were applied, i.e. the untransformed components were used and the cosine-theta coefficient as similarity measure. During the last decade considerable progress in compositional data analysis was made and many case studies were published using new tools for exploratory analysis of these data. Therefore it makes sense to check if the application of suitable data transformations, reduction of the D-part simplex to two or three factors and visual interpretation of the factor scores would lead to a revision of earlier results and to answers to open questions . In this paper we follow the lines of a paper of R. Tolosana- Delgado et al. (2005) starting with a problem-oriented interpretation of the biplot scattergram, extracting compositional factors, ilr-transformation of the components and visualization of the factor scores in a spatial context: The compositional factors will be plotted versus depth (time) of the core samples in order to facilitate the identification of the expected sources of the sedimentary process. Kew words: compositional data analysis, biplot, deep sea sediments

LiDAR data filtering with GRASS GIS for the determination of digital terrain models

In the last years, the use of every type of Digital Elevation Models has iimproved. The LiDAR (Light Detection and Ranging) technology, based on the scansion of the territory b airborne laser telemeters, allows the construction of digital Surface Models (DSM), in an easy way by a simple data interpolation

A Negotiation Style Recommender Based on Computational Ecology in Open Negotiation Environments

The system described herein represents the first example of a recommender system in digital ecosystems where agents negotiate services on behalf of small companies. The small companies compete not only with price or quality, but with a wider service-by-service composition by subcontracting with other companies. The final result of these offerings depends on negotiations at the scale of millions of small companies. This scale requires new platforms for supporting digital business ecosystems, as well as related services like open-id, trust management, monitors and recommenders. This is done in the Open Negotiation Environment (ONE), which is an open-source platform that allows agents, on behalf of small companies, to negotiate and use the ecosystem services, and enables the development of new agent technologies. The methods and tools of cyber engineering are necessary to build up Open Negotiation Environments that are stable, a basic condition for predictable business and reliable business environments. Aiming to build stable digital business ecosystems by means of improved collective intelligence, we introduce a model of negotiation style dynamics from the point of view of computational ecology. This model inspires an ecosystem monitor as well as a novel negotiation style recommender. The ecosystem monitor provides hints to the negotiation style recommender to achieve greater stability of an open negotiation environment in a digital business ecosystem. The greater stability provides the small companies with higher predictability, and therefore better business results. The negotiation style recommender is implemented with a simulated annealing algorithm at a constant temperature, and its impact is shown by applying it to a real case of an open negotiation environment populated by Italian companies

Modelling the Human Values Scale from Consumers Transactional Data Bases

The main objective of this paper aims at developing a methodology that takes into account the human factor extracted from the data base used by the recommender systems, and which allow to resolve the specific problems of prediction and recommendation. In this work, we propose to extract the user's human values scale from the data base of the users, to improve their suitability in open environments, such as the recommender systems. For this purpose, the methodology is applied with the data of the user after interacting with the system. The methodology is exemplified with a case study

Análisis de la relación comercial entre la República de Colombia y la República de Corea

Dadas las relaciones de cooperación internacional que presentan las Repúblicas de Colombia y Corea que se evidencia en los fuertes vínculos comerciales existentes entre las dos naciones y aún más en la negociación de un TLC desde el 2009 y gracias al buen clima económico que presenta en la actualidad Colombia, surge este proyecto de investigación con el objetivo de analizar las relaciones bilaterales y contribuir al desarrollo de la economía emergente que presenta el país. Para ello, en primera instancia se realiza un proceso de contextualización desde aspectos demográficos hasta históricos. En seguida y a manera descriptiva, se expone los diversos bienes y servicios que se intercambian entre las dos naciones con el fin de identificar oportunidades que se podrían ofrecer y afectar una vez se firme el tratado. Finalmente, se evalúa y analiza cada uno de los sectores emergentes de Colombia con el objeto de motivar la inversión en el país para generar de tal manera, un incremento en la producción y por ende incrementos en la demanda agregada, logrando abrir las puertas de la economía colombiana a un socio estratégico como lo es la República de Corea y contribuir poco a poco a la reducción de la balanza comercial deficitaria que se presenta en la actualidad entre los dos países. Términos clave: Relaciones internacionales, Corea, oportunidades, economía, relaciones comerciales.

The Open Web of Things as a means to unlock the potential of the IoT

Abstract: There is a lot of hype around the Internet of Things along with talk about 100 billion devices within 10 years time. The promise of innovative new services and efficiency savings is fueling interest in a wide range of potential applications across many sectors including smart homes, healthcare, smart grids, smart cities, retail, and smart industry. However, the current reality is one of fragmentation and data silos. W3C is seeking to fix that by exposing IoT platforms through the Web with shared semantics and data formats as the basis for interoperability. This talk will address the abstractions needed to move from a Web of pages to a Web of things, and introduce the work that is being done on standards and on open source projects for a new breed of Web servers on microcontrollers to cloud based server farms. Speaker Biography -Dave Raggett : Dave has been involved at the heart of web standards since 1992, and part of the W3C Team since 1995. As well as working on standards, he likes to dabble with software, and more recently with IoT hardware. He has participated in a wide range of European research projects on behalf of W3C/ERCIM. He currently focuses on Web payments, and realising the potential for the Web of Things as an evolution from the Web of pages. Dave has a doctorate from the University of Oxford. He is a visiting professor at the University of the West of England, and lives in the UK in a small town near to Bath.

Capacidades dinámicas que influyen en la operación de la Red de Turismo de La Candelaria

El desarrollo de la presente investigación, centra su atención en las capacidades dinámicas que influyen en la operación de la Red de Turismo de La Candelaria de Bogotá. Para este fin, se realizó una encuesta a 100 directivos o dueños de las empresas que conforman dicha red, y que es una muestra significativa para los propósitos de la investigación, puesto que permite describir a nivel de la empresa y a nivel de la red, la influencia de las capacidades dinámicas de absorción, adaptación e innovación. Como resultados, se obtuvieron que al nivel de empresas las tres capacidades dinámicas influyen en la operación de la misma, encontrándose una mayor relación entre las capacidades de “Innovación – Adaptación"; a nivel de red empresarial ocurre lo contrario, puesto que la relación de las capacidades dinámicas de “Innovación – Adaptación” es nula, mientras que las relaciones entre “Absorción – Innovación” y “Absorción – Adaptación” poseen una alta relación para la operación de la red. Lo anterior, se deriva del análisis realizado de los datos tabulados de la encuesta aplicada a las empresas de la red de turismo, con los estudios empíricos hallados que proponen escalas de medición para las capacidades dinámicas de absorción, adaptación e innovación, y el marco teórico elaborado como soporte para la presente investigación.

Análisis del Espacio Schengen en materia de seguridad como base para la implementación del Protocolo sobre la Facilitación del Movimiento de Personas de la Comunidad para el Desarrollo de África Austral (SADC)

El fin de la Guerra Fría supuso no sólo el triunfo del capitalismo y de la democracia liberal, sino un cambio significativo en el Sistema Internacional; siendo menos centralizado y más regionalizado, como consecuencia de la proximidad y relaciones de interdependencia entre sus actores (no sólo Estados) y permitiendo la formación de Complejos Regionales de Seguridad (CRS). Los CRS son una forma efectiva de relacionarse y aproximarse a la arena internacional pues a través de sus procesos de securitización y desecuritización consiguen lograr objetivos específicos. Partiendo de ello, tanto la Unión Europea (UE) como la Comunidad para el Desarrollo de África Austral (SADC) iniciaron varios procesos de securitización relacionados con la integración regional; siendo un ejemplo de ello la eliminación de los controles en sus fronteras interiores o libre circulación de personas; pues consideraron que de no hacerse realidad, ello generaría amenazas políticas (su influencia y capacidad de actuación estaban amenazadas), económicas (en cuanto a su competitividad y niveles básicos de bienestar) y societales (en cuanto a la identidad de la comunidad como indispensable para la integración) que pondrían en riesgo la existencia misma de sus CRS. En esta medida, la UE creó el Espacio Schengen, que fue producto de un proceso de securitización desde inicios de la década de los 80 hasta mediados de la década de los 90; y la SADC se encuentra inmersa en tal proceso de securitización desde 1992 hasta la actualidad y espera la ratificación del Protocolo para la Facilitación del Movimiento de personas como primer paso para lograr la eliminación de controles en sus fronteras interiores. Si bien tanto la UE como la SADC consideraron que de no permitir la libre circulación de personas, su integración y por lo tanto, sus CRS estaban en riesgo; la SADC no lo ha logrado. Ello hace indispensable hacer un análisis más profundo de sus procesos de securitización para así encontrar sus falencias con respecto al éxito de la UE. El análisis está basado en la Teoría de los Complejos de Seguridad de Barry Buzan, plasmada en la obra Security a New Framework for Analysis (1998) de Barry Buzan, Ole Waever y Jaap de Wilde y será dividido en cada una de las etapas del proceso de securitización: la identificación de una amenaza existencial a un objeto referente a través de un acto discursivo, la aceptación de una amenaza por parte de una audiencia relevante y las acciones de emergencia para hacer frente a las amenazas existenciales; reconociendo las diferencias y similitudes de un proceso de securitización exitoso frente a otro que aún no lo ha sido.

Media bias and central bank response. Evidence from the nominal exchange rate behavior in Colombia

Since 1991 Colombia has had a market-determined Peso - US Dollar Nominal Exchange Rate (NER), after more than 20 years of controlled and multiple exchange rates. The behavior (revaluation / devaluation) of the NER is constantly reported in news, editorials and op-eds of major newspapers of the nation with particular attention to revaluation. The uneven reporting of revaluation episodes can be explained by the existence of an interest group particulary affected by revaluation, looking to increase awareness and sympathy for help from public institutions. Using the number of news and op-eds from a major Colombian newspaper, it is shown that there is an over-reporting of revaluation episodes in contrast to devaluation ones. Secondly, using text analysis upon the content of the news, it is also shown that the words devaluation and revaluation are far apart in the distribution of words within the news; and revaluation is highly correlated with words related to: public institutions, exporters and the need of assistance. Finally it is also shown that the probability of the central bank buying US dollars to lessen revaluation effects increases with the number of news; even though the central bank allegedly intervenes in the exchange rate market only to tame volatility or accumulate international reserves.

Modeling the monetary policy reaction function of the colombian central bank

This paper proposes a simple Ordered Probit model to analyse the monetary policy reaction function of the Colombian Central Bank. There is evidence that the reaction function is asymmetric, in the sense that the Bank increases the Bank rate when the gap between observed inflation and the inflation target (lagged once) is positive, but it does not reduce the Bank rate when the gap is negative. This behaviour suggests that the Bank is more interested in fulfilling the announced inflation target rather than in reducing inflation excessively. The forecasting performance of the model, both within and beyond the estimation period, appears to be particularly good.

The cyclical behavior of bank capital buffers in an emerging economy: size do matters

Using a panel of Colombian banks and quarterly data between 1996:1 and 2010:3, we study the relationship between short-run adjustemnts in bank capital buffers and the business cycle. We follow a partial adjustment framework and control for several variables that have been identified as important determinants of bank capital buffers in previous studies, and find that bank capital buffers vary over the business cycle. We are able to identify a negative co-movement of capital buffers and and the business cycle. However, we also find that capital buffers of small and large banks behave asymmetrically during the business cycle. While the former appear to be constant over time, once the appropriate set of control variables is used, the latter present a countercyclical behavior. Our results suggest the possible need of the implementation of regulatory policy measures in developing countries