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In today’s competitive labor markets, successfully recruiting a large pool of skilled and qualified job applicants is a prime concern of many organizations. In Study 1, I focused on how organizations can successfully employ four traditional recruitment practices (sponsorships, job fair activities, word-of mouth endorsements and corporate advertisements) simultaneously to disseminate information about their positive recruitment brand images to job seekers to enhance organizational attraction. The results which supported all my hypotheses indicated that, communication of an organization’s brand images to job seekers through the simultaneous use of these four traditional recruitment practices can indeed influence job seekers’ positive perceptions of an organization and result in enhanced organizational attraction. In Study 2, which was built on findings in Study1, I theorized that social media may have become a prominent source of information for job seekers. In this study, I predicted that job seekers’ use of four social media platforms (Facebook, Twitter, You Tube and LinkedIn) in job search will explain incremental variance in organizational attraction over the use of traditional recruitment methods. I also predicted that job seekers’ utilization of social media in job search will be positively related to organizational attraction through enhanced perceptions of instrumental and symbolic attributes. Surveys for both studies were posted on and data collected from Amazon Mechanical Turk. Results from the second study were mixed; but the results confirm findings from prior research, which showed that the instrumental-symbolic framework can be used to predict potential job seekers’ perceptions of organizational attractiveness. Overall, results in the two studies reveal that organizations can better enhance recruitment by using a combination of social media and traditional recruitment methods to attract potential job seekers. / Business Administration/Human Resource Management

This thesis makes an original contribution to knowledge in the fi eld of data objects' comparison where the objects are described by attributes of fuzzy or heterogeneous (numeric and symbolic) data types. Many real world database systems and applications require information management components that provide support for managing such imperfect and heterogeneous data objects. For example, with new online information made available from various sources, in semi-structured, structured or unstructured representations, new information usage and search algorithms must consider where such data collections may contain objects/records with di fferent types of data: fuzzy, numerical and categorical for the same attributes. New approaches of similarity have been presented in this research to support such data comparison. A generalisation of both geometric and set theoretical similarity models has enabled propose new similarity measures presented in this thesis, to handle the vagueness (fuzzy data type) within data objects. A framework of new and unif ied similarity measures for comparing heterogeneous objects described by numerical, categorical and fuzzy attributes has also been introduced. Examples are used to illustrate, compare and discuss the applications and e fficiency of the proposed approaches to heterogeneous data comparison.

Este estudo visa compreender a relação entre os atributos intrínsecos e extrínsecos do produto calça jeans e o seu preço no varejo, tendo como objetivo específico analisar a influência separadamente dos atributos intrínsecos e extrínsecos sobre os preços. Para tanto, utiliza-se da teoria de atributos proposta por Lancaster (1966) e dos métodos de preços hedônicos propostos por Rosen (1974), por meio dos quais é possível observar a importância dos pacotes de atributos intrínsecos e extrínsecos sobre os preços, bem como observar a constituição de pacotes de atributos para diferentes perfis econômicos de consumidores. Foram analisadas 12 categorias de atributos sendo 5 de atributos intrínsecos e outras 7 de atributos extrínsecos. A coleta de dados foi realizada por meio de observação e a pesquisa foi realizada no período de 01 de julho a 31 de julho de 2015 nos maiores shoppings centers e principais lojas de ruas de São Paulo. A partir dos dados coletados, foram realizadas regressão múltipla e a regressão quantílica. A regressão múltipla apresentou o R2 de 58%, nessa análise os principais atributos que influenciam são: loja premium, venda assistida, origem da loja, tamanho da loja (megaloja), tamanho da loja (ampla), lavagem destroyed, resina, modelo flare, lavagem dirty, localização da loja (rua ou shopping), complementos, modelo skinny insumos elastano e poliéster. A regressão quantílica proporciou a análise para 10% das calças mais caras e para os 10% das calças mais baratas. Para as calças mais caras o R2 é de 45% para as calças mais caras há mais atributos extrínsecos do que atributos do produto interferindo no preço, são eles: os insumos poliéster e elastano, lavagem e resinagem, origem da marca da loja, posicionamento da marca, venda assistida, localização da loja, cartão de crédito - private label (nesse caso influenciando negativamente), e tamanho da loja, todos extrínsecos ao produto, se mostraram relevantes para o processo de precificação das calças jeans mais caras observadas nesse estudo. Já para as calças mais baratas, com R2 de 27%, parece haver um equilíbrio entre o número de variáveis intrínsecas e extrínsecas que interferem no preço das calças jeans mais baratas, pois somente a modelagem (atributo intrínseco) e cartão private label (atributo extrínseco) parecem não interferir na precificação. Concluiu-se que há mais atributos extrínsecos que influenciam o preço da calça jeans no varejo. / This study aims to understand the relationship between intrinsic and extrinsic attributes of jeans and its retail price, with the specific objective to analyze the influence separately from intrinsic and extrinsic attributes on prices. To do so, it uses the attributes of theory proposed by Lancaster (1966) and hedonic pricing methods proposed by Rosen (1974), through which it is possible to see the importance of intrinsic and extrinsic attributes packages on prices and to observe the constitution attributes of economic packages for different consumer profiles. 12 categories of attributes, 5 of intrinsic attributes and other 7 extrinsic attributes were analyzed. Data collection was carried out through observation and the survey was conducted in the period from July, 1st to July, 31st, 2015 in major shopping malls and main streets of São Paulo stores. The collected data was analyzed through multiple regression and quantile regression. Multiple regression showed a R2 of 48%, according to this analysis the attributes that influence are: premium store, assisted sale, shop origin, size of the store (superstore), store size (large), destroyed wash, resin application, flare model, dirty wash, store location (street or shopping), accessories, skinny model spandex inputs and polyester. The quantile regression, pointed analysis for 10% of the most expensive jeans and for 10% of the cheapest jeans. For the most expensive pants, R2 is 45% the extrinsic attributes interfering in the price more than product attributes, they are: polyester inputs and spandex, washing and resin application, the origin for store brand, brand positioning, assisted sale, store location, credit card -private label (in this case presenting a negative influence) and size of the store, all extrinsic to the have shown to be relevant to the process of pricing of the most expensive jeans observed in this study. As for the cheapest pants, with R2 of 27% seems to be a balance between the number of intrinsic and extrinsic variables that affect the price of the cheapest jeans, modeling (intrinsic attribute) and private label (extrinsic attribute) do not seem to interfere in pricing. It was concluded that there are more extrinsic attributes that influence the jeans of the retail price.

Este estudo visa compreender a relação entre os atributos intrínsecos e extrínsecos do produto calça jeans e o seu preço no varejo, tendo como objetivo específico analisar a influência separadamente dos atributos intrínsecos e extrínsecos sobre os preços. Para tanto, utiliza-se da teoria de atributos proposta por Lancaster (1966) e dos métodos de preços hedônicos propostos por Rosen (1974), por meio dos quais é possível observar a importância dos pacotes de atributos intrínsecos e extrínsecos sobre os preços, bem como observar a constituição de pacotes de atributos para diferentes perfis econômicos de consumidores. Foram analisadas 12 categorias de atributos sendo 5 de atributos intrínsecos e outras 7 de atributos extrínsecos. A coleta de dados foi realizada por meio de observação e a pesquisa foi realizada no período de 01 de julho a 31 de julho de 2015 nos maiores shoppings centers e principais lojas de ruas de São Paulo. A partir dos dados coletados, foram realizadas regressão múltipla e a regressão quantílica. A regressão múltipla apresentou o R2 de 58%, nessa análise os principais atributos que influenciam são: loja premium, venda assistida, origem da loja, tamanho da loja (megaloja), tamanho da loja (ampla), lavagem destroyed, resina, modelo flare, lavagem dirty, localização da loja (rua ou shopping), complementos, modelo skinny insumos elastano e poliéster. A regressão quantílica proporciou a análise para 10% das calças mais caras e para os 10% das calças mais baratas. Para as calças mais caras o R2 é de 45% para as calças mais caras há mais atributos extrínsecos do que atributos do produto interferindo no preço, são eles: os insumos poliéster e elastano, lavagem e resinagem, origem da marca da loja, posicionamento da marca, venda assistida, localização da loja, cartão de crédito - private label (nesse caso influenciando negativamente), e tamanho da loja, todos extrínsecos ao produto, se mostraram relevantes para o processo de precificação das calças jeans mais caras observadas nesse estudo. Já para as calças mais baratas, com R2 de 27%, parece haver um equilíbrio entre o número de variáveis intrínsecas e extrínsecas que interferem no preço das calças jeans mais baratas, pois somente a modelagem (atributo intrínseco) e cartão private label (atributo extrínseco) parecem não interferir na precificação. Concluiu-se que há mais atributos extrínsecos que influenciam o preço da calça jeans no varejo. / This study aims to understand the relationship between intrinsic and extrinsic attributes of jeans and its retail price, with the specific objective to analyze the influence separately from intrinsic and extrinsic attributes on prices. To do so, it uses the attributes of theory proposed by Lancaster (1966) and hedonic pricing methods proposed by Rosen (1974), through which it is possible to see the importance of intrinsic and extrinsic attributes packages on prices and to observe the constitution attributes of economic packages for different consumer profiles. 12 categories of attributes, 5 of intrinsic attributes and other 7 extrinsic attributes were analyzed. Data collection was carried out through observation and the survey was conducted in the period from July, 1st to July, 31st, 2015 in major shopping malls and main streets of São Paulo stores. The collected data was analyzed through multiple regression and quantile regression. Multiple regression showed a R2 of 48%, according to this analysis the attributes that influence are: premium store, assisted sale, shop origin, size of the store (superstore), store size (large), destroyed wash, resin application, flare model, dirty wash, store location (street or shopping), accessories, skinny model spandex inputs and polyester. The quantile regression, pointed analysis for 10% of the most expensive jeans and for 10% of the cheapest jeans. For the most expensive pants, R2 is 45% the extrinsic attributes interfering in the price more than product attributes, they are: polyester inputs and spandex, washing and resin application, the origin for store brand, brand positioning, assisted sale, store location, credit card -private label (in this case presenting a negative influence) and size of the store, all extrinsic to the have shown to be relevant to the process of pricing of the most expensive jeans observed in this study. As for the cheapest pants, with R2 of 27% seems to be a balance between the number of intrinsic and extrinsic variables that affect the price of the cheapest jeans, modeling (intrinsic attribute) and private label (extrinsic attribute) do not seem to interfere in pricing. It was concluded that there are more extrinsic attributes that influence the jeans of the retail price.

This thesis makes an original contribution to knowledge in the fi eld of data objects' comparison where the objects are described by attributes of fuzzy or heterogeneous (numeric and symbolic) data types. Many real world database systems and applications require information management components that provide support for managing such imperfect and heterogeneous data objects. For example, with new online information made available from various sources, in semi-structured, structured or unstructured representations, new information usage and search algorithms must consider where such data collections may contain objects/records with di fferent types of data: fuzzy, numerical and categorical for the same attributes. New approaches of similarity have been presented in this research to support such data comparison. A generalisation of both geometric and set theoretical similarity models has enabled propose new similarity measures presented in this thesis, to handle the vagueness (fuzzy data type) within data objects. A framework of new and unif ied similarity measures for comparing heterogeneous objects described by numerical, categorical and fuzzy attributes has also been introduced. Examples are used to illustrate, compare and discuss the applications and e fficiency of the proposed approaches to heterogeneous data comparison. / Libyan Embassy

In this study, a traffic generator software package namely MTGawn was developed to run packet generation and evaluation on a mobile device. The call generating software system is able to: simulate voice over Internet protocol calls as well as user datagram protocol and transmission control protocol between mobile phones over a wireless network and analyse network data similar to computer-based network monitoring tools such as Iperf and D-ITG but is self-contained on a mobile device. This entailed porting a ‘stripped down’ version of a packet generation and monitoring system with functionality as found in open source tools for a mobile platform. This mobile system is able to generate and monitor traffic over any network interface on a mobile device, and calculate the standard quality of service metrics. The tool was compared to a computer–based tool namely distributed Internet traffic generator (D-ITG) in the same environment and, in most cases, MTGawn reported comparable results to D-ITG. The important motivation for this software was to ease feasibility testing and monitoring in the field by using an affordable and rechargeable technology such as a mobile device. The system was tested in a testbed and can be used in rural areas where a mobile device is more suitable than a PC or laptop. The main challenge was to port and adapt an open source packet generator to an Android platform and to provide a suitable touchscreen interface for the tool. / >Magister Scientiae - MSc

International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, California / This paper presents an overview of the telemetry attributes management system used to support the Advanced Data Acquisition and Processing System (ADAPS) at the Air Force Flight Test Center (AFFTC). The Joint Test Data Management System is an object-oriented system used to store telemetry attributes. JTDMS accepts telemetry attributes in a variety of formats and provides setup files for the ADAPS system.

International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, California / XML is a simple, powerful way to agree on data transfers between organizations, applications and/or computer systems. XML was originally developed to separate data content definition from the display of data on a web page. XML is based on a subset of the Standardized General Markup Language (SGML), which means XML uses a tag-based syntax similar to Hyper Text Markup Language (HTML). Whereas HTML uses fixed tags to display data, XML uses custom designed tags to describe data. XML provides a simple, standard, portable, and flexible way to transfer data between applications. This could provide a useful way to transfer telemetry attributes data between customers and systems. Currently, there is not a significant amount of support for the use of the Telemetry Attributes Transfer Standard (TMATS). Telemetry vendors still use their own formats, customers maintain their own databases, and support facilities/ranges promote the use of their own implementations. TMATS was supposed to define a common ground to transfer data definitions, but the tools to TMATS have not come about. TMATS is a well defined, structured specification that maps into XML extremely well. Even though XML is a fairly new technology, there are already many tools available to support XML parsing with more becoming available. This makes XML an excellent choice to supplement TMATS for the interchange of telemetry attribute information. This paper provides an initial attempt at defining the language and structure for an XML vocabulary of TMATS.

Research on psychotherapy has consistently revealed that a portion of the variance in positive outcomes can be explained by therapist variables. Examination of clients preferences for certain therapist characteristics has led to inconsistent results further complicated by differences in participant characteristics. This study on therapist characteristics examines relationships between student-preferred therapist characteristics and demographic information provided by participants in their survey responses. Therapist characteristics under investigation include counseling style and approach to treatment, level of experience and training, and demographic information. This study also validates an online survey as a quality method of investigating university students preferences for therapist characteristics through the use of a one-parameter Rasch Item Response Theory model of analysis. Results from this study suggest that the Web-based survey employed was a quality method of collecting data on student preferences for therapist characteristics. Results also indicate that student prefer a well educated therapist of advanced training who is a good listener, makes them feel comfortable and is nonjudgmental. Finally, results suggest that student preferences for certain therapist characteristics are influenced by student demographic information and previous counseling experiences.