944 resultados para Customer surveys data


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Objectives. To describe the changes in the use of maternal and child health care services by residents of three municipalities-Embu, Itapecerica da Serra, and Taboao da Serra-in the Sao Paulo metropolitan area, 12 years after the implementation of the Unified Health System (SUS) in Brazil, and to analyze the potential of population-based health care surveys as sources of data to evaluate these changes. Methods. Two population-based, cross-sectional surveys were carried out in 1990 and 2002 in municipalities located within the Sao Paulo metropolitan area. For children under 1 year of age, the two periods were compared in terms of outpatient services utilization and hospital admission; for the mothers, the periods were compared in terms of prenatal care and deliveries. In both surveys, stratified and multiple-stage conglomerate sampling was employed, with standardization of interview questions. Results. The most important changes observed were regarding the location of services used for prenatal care, deliveries, and hospitalization of children less than 1 year of age. There was a significant increase in the use of services in the surrounding region or hometown, and decrease in the utilization of services in the city of Sao Paulo (in 1990, 80% of deliveries and almost all admissions for children less than 1 year versus 32% and 46%, respectively, in 2002). The use of primary care units and 24-hour walk-in clinics also increased. All these changes reflect care provided by public resources. In the private sector, there was a decrease in direct payments and payments through company-paid health insurance and an increase in payments through self-paid health insurance. Conclusions. The major changes observed in the second survey occurred simultaneous to the changes that resulted from the implementation of the SUS. Population-based health surveys are adequate for analyzing and comparing the utilization of health care services at different times.

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Clusters of galaxies are the most impressive gravitationally-bound systems in the universe, and their abundance (the cluster mass function) is an important statistic to probe the matter density parameter (Omega(m)) and the amplitude of density fluctuations (sigma(8)). The cluster mass function is usually described in terms of the Press-Schecther (PS) formalism where the primordial density fluctuations are assumed to be a Gaussian random field. In previous works we have proposed a non-Gaussian analytical extension of the PS approach with basis on the q-power law distribution (PL) of the nonextensive kinetic theory. In this paper, by applying the PL distribution to fit the observational mass function data from X-ray highest flux-limited sample (HIFLUGCS), we find a strong degeneracy among the cosmic parameters, sigma(8), Omega(m) and the q parameter from the PL distribution. A joint analysis involving recent observations from baryon acoustic oscillation (BAO) peak and Cosmic Microwave Background (CMB) shift parameter is carried out in order to break these degeneracy and better constrain the physically relevant parameters. The present results suggest that the next generation of cluster surveys will be able to probe the quantities of cosmological interest (sigma(8), Omega(m)) and the underlying cluster physics quantified by the q-parameter.

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I dagens samhälle är det allt viktigare för företag att behålla sina existerande kunder då konkurrensen blir allt hårdare. Detta medför att företag försöker vidta åtgärder för att vårda relationer med sina kunder. Detta problem är även högst relevant inom IT-branschen. Inom IT-branschen är det vanligt att arbeta agilt i IT-projekt. Vår samarbetspartner har sett ett ökat behov av att mäta servicekvalitet på ett återkommande sätt inom IT-projekt, detta för att mäta relevanta variabler som sträcker sig utanför kravspecifikationen. För att mäta framgång gällande detta arbetssätt vill man kunna mäta Nöjd Kund Index (NKI) för att kunna jämföra IT-projekt internt i företaget. Då tidigare forskning visat avsaknad av modeller innehållande både mätning av servicekvalitet samt NKI har lämplig litteratur studerats där det framkommit att modellen SERVQUAL är vedertagen för mätning av servicekvalitet och modellen American Customer Satisfaction Index (ACSI) är vedertagen för mätning av NKI. Detta har legat till grund för arbetets problemformulering och syfte. Syftet med arbetet är att skapa en vidareutvecklad modell för mätning av NKI för att jämföra IT-projekt internt samt återkommande mätning av servicekvalitet inom IT-projekt. Framtagande av denna modell har sedan skett genom forskningsstrategin Design and Creation. Intervjuer har genomförts för kravfångst till den vidareutvecklade modellen. Resultatet av denna forskningsstrategi blev sedan en vidareutvecklad modell baserad på ovan nämnda modeller med återkommande förhållningssätt för mätning av servicekvalitet inom IT-projekt och mätning av NKI för att jämföra IT-projekt internt i företaget. Den framtagna modellen har sedan verifierats genom ytterligare intervjuer med respondenter som innehar god erfarenhet från kundsidan av IT-projekt. Från dessa intervjuer kunde sedan slutsats dras att denna modell är att anse som applicerbar i empirin gällande IT-projekt.

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The rate and spatial scale at which natural environments are being modified by human land-uses mean that a regional or national perspective is necessary to understand the status of the native biota. Here, we outline a landscape-based approach for using data from the ‘New Atlas of Australian Birds’ to examine the distribution and status of avifauna at a regional scale. We use data from two bioregions in south-east Australia – the Gippsland Plain and the Strzelecki Ranges (collectively termed the greater Gippsland Plains) – to demonstrate this approach. Records were compiled for 57 landscape units, each 10′ latitude by 10′ longitude (~270 km2) across the study region. A total of 165 terrestrial bird species was recorded from 1870 ‘area searches’, with a further 24 species added from incidental observations and other surveys. Of these, 108 species were considered ‘typical’ of the greater Gippsland Plain in that they currently or historically occur regularly in the study region. An index of species ‘occurrence’, combining reporting rate and breadth of distribution, was used to identify rare, common, widespread and restricted species. Ordination of the dataset highlighted assemblages of birds that had similar spatial distributions. A complementarity analysis identified a subset of 14 landscape units that together contained records from at least three different landscape units for each of the 108 ‘typical’ species. When compared with the 40 most common ‘typical’ species, the 40 least common species were more likely to be forest specialists, nest on the ground and, owing to the prevalence of raptors in the least common group, take prey on the wing. The future status of the terrestrial avifauna of the greater Gippsland Plains will depend on the extent to which effective restoration actions can be undertaken to ensure adequate representation of habitats for all species, especially for the large number of species of conservation concern.

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The Australian market research industry relies on telephone interviewing as one of its major data collection methods. Through Its LIST initiative, the industry has committed to best practice In research methods in order to address various concerns, especially the decline in response rates for telephone interviews. Response rates are determined by the co-operation of eligible respondents and their degree of contactabllity. The reported study is concerned with the way the industry attempts to manage contactabiIity. A study of fieldwork managers responSible for over 75% of all phone interviews in Australia revealed a limited use of contact enhancing strategies such as longer fieldwork periods and more callbacks. Commercial imperatives for timely surveys and a lack of end-user concern for response rate issues, along with cost issues, were believed to be responsible.

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This paper introduces an incremental FP-Growth approach for Web content based data mining and its application in solving a real world problem The problem is solved in the following ways. Firstly, we obtain the semi-structured data from the Web pages of Chinese car market and structure them and save them in local database. Secondly, we use an incremental FP-Growth algorithm for mining association rules to discover Chinese consumers' car consumption preference. To find more general regularities, an attribute-oriented induction method is also utilized to find customer's consumption preference among a range of car categories. Experimental results have revealed some interesting consumption preferences that are useful for the decision makers to make the policy to encourage and guide car consumption. Although the current data we used may not be the best representative of the actual market in practice, it is still good enough for the decision making purpose in terms of reflecting the real situation of car consumption preference under the two assumptions in the context.

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Survey response rates and response quality are declining in most markets, threatening the viability of many established research techniques. One attempt to combat this has been to make survey completion more convenient for respondents, with on-line surveys being an example of this. This paper looks at respondent attitudes to demographic questions in on-line surveys – questions that are crucial for many analysis practices and yet often have the highest non-completion rates. The exploratory survey conducted here (n=198) examined attitudes towards surveys and empirically examined the reasons behind non-completion and intentions to give misleading information. The results suggest that general attitudes towards providing demographic data in on-line surveys are related to the likely response behaviour, and the more uncomfortable someone claims to be with providing this data, the more likely they will be to either omit a response or exit the survey altogether. Past experience with on-line surveys increases the chances of respondents answering completely and accurately and in most cases, significantly reduces the likelihood of exiting the survey completely if asked these questions. Finally, there is some evidence that providing broad categorical response options is preferred to more specific categories or open text boxes, and this may represent the best technique for improving response rates and quality.

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Telephone interviewing is the major data collection method for the market research industry. Although social trends such as mobile phones and call screening make it harder to contact people, better technology and contact regimes can assist companies to ameliorate the situation. A study of fieldwork managers responsible for over 75% of all phone interviews in Australia revealed limited use of contact enhancing strategies such as longer survey periods and more callbacks. Commercial imperatives for timely surveys and a lack of end-user concern for response rate issues, along with costs concerns, were believed to be responsible.

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Sampling is fundamental to the credibility of any empirical investigation, and this is no different for the area of Gay, Lesbian and Bisexual (GLB) research. In fact, it would not be an overstatement to say that publication of GLB research into high quality and mainstream journals has been limited in part because of sampling issues. The purpose of this paper is to raise awareness of the unique sampling problems posed by GLB resaerch and to offer solutions to these through the use of web surveys and recruitment strategies. In particular, we provide data which show that, contrary to voiced concerns, when employed with a rigorous recruitment strategy, web surveys increase rather than reduce sampling coverage. Further, we provide evidence that the web survey technique can yield data of comparable quality to that obtained with a hard-copy survey. The paper concludes with strategies researchers can adopt to overcome barriers in obtaining a diverse GLB sample.

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Purpose – This paper seeks to investigate the influence of Porter’s strategy types on the use of customer relationship management (CRM) techniques and traditional market research, against theoretical and empirical evidence that differences in strategy types may result in variation in favoured marketing information sources and procedure.

Design/methodology/approach – Depth interviews generated a series of scale items, which were combined with others derived from the literature in a questionnaire measuring strategy types, the roles of market research, and the characteristics of CRM systems. Responses were obtained from 240 senior marketing managers in Australia, and applied to the testing of five research propositions.

Findings –
ANOVA found no differences in CRM usage among the strategy types. Variation was widespread, however, in four roles of traditional market research: enhancing strategic decision making, increasing usability of existing data, presenting plans to senior management, and achieving productivity and political outcomes.

Research limitations/implications –
Future researchers using the Porter strategic types should separate “marketing differentiators” from “product differentiators” because they function and compete differently.

Practical implications –
All organisations can benefit from CRM systems, but “marketing differentiators” exhibit a relatively higher usage of traditional market research. This is likely to be because they compete by creating softer product differences, while others do so on harder characteristics such as price or product functionality.

Originality/value –
This is the first study to use the Porter types to explain differences between the roles and uses of market research and CRM within organisations.

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Purpose – The purpose of this paper is to provide a better understanding of the antecedents of organisational performance (OP), both financial and marketing, and the influence of holding a strategic market orientation (MO) where customer-base volatility is taken into account.

Design/methodology/approach –
A sample of 167 marketing organisations in Australia was surveyed to test the hypothesised model. Structural equation modelling was employed in the data analysis.

Findings – Use of the world wide web (Web) reported by organisations in this study indicates that there is still separate use of the Web and that it has yet to be fully integrated into the marketing strategy of many organisations. The study finds that traditional marketing effort mediates the relationship between holding a MO and OP in terms of financial indicators.

Research limitations/implications – A major limitation of this study is that it surveys organisations from many industries rather than selected industries. This tends to mask some of the possible outcomes.

Practical implications – The findings in this study suggest that traditional and online elements of marketing effort each mediate the influence of holding a MO on OP, but differently. Innovation culture is found to influence both marketing practice and marketing performance, directly. A single measure of environmental turbulence – customer-base turbulence or churn – negatively affects marketing performance, and ultimately financial performance.

Originality/value –
A major contribution of this study is the examination of use of the Web in marketing effort and how this usage influences financial and marketing performance.

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Purpose – The purpose of this article is to present an empirical analysis of complex sample data with regard to the biasing effect of non-independence of observations on standard error parameter estimates. Using field data structured in the form of repeated measurements it is to be shown, in a two-factor confirmatory factor analysis model, how the bias in SE can be derived when the non-independence is ignored.

Design/methodology/approach – Three estimation procedures are compared: normal asymptotic theory (maximum likelihood); non-parametric standard error estimation (naïve bootstrap); and sandwich (robust covariance matrix) estimation (pseudo-maximum likelihood).

Findings – The study reveals that, when using either normal asymptotic theory or non-parametric standard error estimation, the SE bias produced by the non-independence of observations can be noteworthy.

Research limitations/implications –
Considering the methodological constraints in employing field data, the three analyses examined must be interpreted independently and as a result taxonomic generalisations are limited. However, the study still provides “case study” evidence suggesting the existence of the relationship between non-independence of observations and standard error bias estimates.

Originality/value – Given the increasing popularity of structural equation models in the social sciences and in particular in the marketing discipline, the paper provides a theoretical and practical insight into how to treat repeated measures and clustered data in general, adding to previous methodological research. Some conclusions and suggestions for researchers who make use of partial least squares modelling are also drawn.

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The Customer Analytics (CA) function is increasingly leveraged for Customer Relationship Management (CRM), however it may lack the value of marketing knowledge available from the Marketing Research (MR) function due to inadequate interfunctional knowledge integration. This paper develops a set of sixteen propositions from a synthesis of the marketing and knowledge management literatures relating key organisational influences on the integration of knowledge between the MR and CA functions. A range of strategic, cultural, structural and technical influences is reflected by the propositions. It is planned to test the propositions in future empirical research.

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Although it seems counter-intuitive, past studies have found that the attitudes to the on-field performance of a team have only a small direct impact on the overall satisfaction of members (season ticket holders). By managing other aspects of the package well (e.g., ticketing, customer service, communications), membership can satisfy even when the on-field results do not. In this research, we examine whether on-field performance, measured both objectively and subjectively, has an indirect "halo" effect on attitudes towards those other aspects of the membership offering. An examination of data collected through 63 member satisfaction surveys of 14 different AFL clubs in the period 2003 - 2007 suggests that, predictably, a change to the win-loss ratio has a strong impact on attitudes to on-field performance and overall satisfaction. However, changes in on-field performance are also significantly correlated with changes in attitudes to areas like the extent to which one feels personally involved with the club and the administration of the club. The data allows the determination of the extent ofthis halo effect where a change in on-field performance (win percentage) has a predictable impact on attitudes to other aspects of the clubs activities, allowing club management to benchmark their performance in these areas even when on-field results fluctuate year to year.

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Staff employed in the Victorian Office of Housing are invariably required to exercise discretion in their day-to-day work managing housing assets and providing services to public housing tenants. Policies specify processes but they never cover all situations and do not provide guidance on competing objectives. For example, preparing a property for reletting is a process with protocols and budget constraints. However, staff can make procedural variations that compy with policy. These variations, generally learnt from peers on the job, often result in budget over runs, but do result in improved properties for new tenants. Discretion is being exercised in balancing housing asset, budget control and tenant service objectives. A housing officer sums up the enduring tension in balancing objectives in the question and statement:’ Am I an agent of the state or a customer service officer? Because I can’t be both’. Organisationally these tensions are spoken about as ‘management issues’, ‘policy reengineering’ and ‘unrealistic understandings’. Using data from an ethnographic study in the Victorian Office of Housing, the paper addresses the question: ‘What do we know about the way in which front line housing officers manage competing objectives in their daily work and how might this knowledge be usefully used in the development of operational policy?’ The paper will explore the way in which complex administrative rules are used as a device to align staff to the Office of Housing objectives and limit the exercise of discretion by frontline staff. Against the background of this analysis the paper will consider the limitations of rule making and the extent to which other organisational strategies might be important for improvements in service provision in a context of constrained resources and limited resources.