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Abstract

The article presents an authorship version of the analysis procedure of data set from MSA Attribute Study for the purposes related to the reduction of conformity assessment errors and improvement of production process effectiveness. The MSA manual does not include any clear guidelines on how to eliminate errors or guidelines on how to analyse data sets from attribute study to eliminate errors. The article attempts to fill the gap identified in this field. In this article (Part 1), the author outlines the key features of own methodology of analysis data from MSA attribute study. In this article, which is one of the two parts, a research problem has been identified. It was emphasised that the influence on the reduction of the effectiveness of the production process have errors committed by the controllers in the alternative assessment of the product’s conformity with the requirements, i.e. errors of I and II type, in particular, II type errors, which should be first eliminated. A traditional approach to research analysis and evaluation of alternative inspection system practised in the MSA manual was presented. Four key assumptions that were adopted for the research goal were presented. Author’s procedure for analysis of errors from the attribute study data set is to point to the direction of activities in the field of error analysis, emphasise intolerance to any error, assume to use the root causes analysis and the coaching sessions to reach the root causes of conformity errors. In the second, final article in the series (Part 2), the author illustrates how, step by step, the procedure could be used in practice. It also presents the advantages and limitations of its own procedure.

Abstract

Open access to research data is one of the key themes of current science development concepts and relevant R & D strategies at least in Europe. A systemic change in the modus operandi of science and research should lead to so-called Open Science. The presented paper questions the extent to which the Open Science concept is reflected in the strategies of Czech universities. The paper first describes basic idea of Open Access to Research Data including principles of „FAIR data” as one of the key assumption of it. After a brief characterization of the Czech university sector, the results of the empirical analysis of the inclusion of the Open Access to Research Data concept in the current strategic plans of the Czech universities are presented. The conclusion of the paper is then an evaluation of the results, which reveal an underestimation of the Open Science concept in the current strategic plans of the Czech universities.

Abstract

The procedural revolution of technology making people more and more linked to virtual based lives, and providing an outline to live in online-based curriculums. However, not all the nations have the same level of access and equal opportunities to grip the fruit of communication technology, hence the social presence in cyberspace suppose to differ from nations to nations. The study tends to explore the facets of technology-mediated text-based correspondences of the young generation, who often apt to use their own technologically advanced telecommunication devices. To conceptualize the qualitative aspect of the study into quantitative findings, the key assumptions are tested in each step of the factor analysis process. Based on the scanned cases of the survey, the study concludes that the young generation of the nations, where technological advancement is yet to flourish is less formal, more emotionally sensitive and more open about their state of the mind compared to the technologically advanced nations.

Abstract

This paper presents a literature review of maintenance strategies formulation. The purpose of this article is to provide an overview of different published concepts of maintenance strategies, distinguish the most common approaches to this issue and find a general tendency in strategies classification. Furthermore, the review is aimed to point out the importance of unscheduled downtime which might occur during equipment runtime in a production plant. The paper classifies the existing maintenance concepts and emphasizes key assumptions of the analysed strategies. The literature study and carried out analysis could be useful to find appropriate reliability assurance methods. In addition, defined maintenance approaches might help in decision making process in a company. The paper is a comprehensive overview of discussed strategies, which indicates the most frequent maintenance models in the analysed papers.

Abstract

International trade is the key element of globalisation and closer economic and political cooperation between countries. Regional integration is an important driver of closer trade ties among countries. In this context, the article focuses on analysing the factors, influencing the dynamics of trade patterns of the Baltic States. The research method used in the article is the gravity model of trade, which rests on the key assumption that trade between countries is defined by the size of the economies and the distance between the countries. The gravity equation estimates showed that the membership of the Baltic States in the EU had a positive effect on the export levels of the Baltic States to other EU members. On the other hand, the membership in the EU is not the main trade stimulating factor. The more important factor for the Baltic States’ exports is the former economic ties with Russia. An analysis also revealed that the Baltic States have many important trade partners with different levels of income. This finding does not support the Linder hypothesis which states that the main trading partners should have a rather similar level of income.

Abstract

This study attempted to integrate key assumptions in Respondent-Driven Sampling (RDS) into the Total Survey Error (TSE) perspectives and examine TSE as a new framework for a systematic assessment of RDS errors. Using two publicly available data sets on HIV-at-risk persons, nonresponse error in the RDS recruitment process and measurement error in network size reports were examined. On nonresponse, the ascertained partial nonresponse rate was high, and a substantial proportion of recruitment chains died early. Moreover, nonresponse occurred systematically: recruiters with lower income and higher health risks generated more recruits; and peers of closer relationships were more likely to accept recruitment coupons. This suggests a lack of randomness in the recruitment process, also shown through sizable intra-chain correlation. Self-reported network sizes suggested measurement error, given their wide dispersion and unreasonable reports. This measurement error has further implications for the current RDS estimators, which use network sizes as an adjustment factor on the assumption of a positive relationship between network sizes and selection probabilities in recruitment. The adjustment resulted in nontrivial unequal weighting effects and changed estimates in directions that were difficult to explain and, at times, illogical. Moreover, recruiters’ network size played no role in actual recruitment. TSE may serve as a tool for evaluating errors in RDS, which further informs study design decisions and inference approaches.

Process Approach to Knowledge Management

The article points out the limited availability of practical implementation guidelines, methods and tools as one of the core issues in the widespread usage of knowledge management (KM) in organizations. The process approach is proposed as an efficient way to understand the scope of knowledge management and to plan its development or improvement, in line with organizational strategy. The role of information technology (IT) in supporting knowledge management is emphasized and key functional groups of IT systems are listed. A sample section of the detailed process model is presented for the KM resource identification master process, with a BPMN graphical visualization. Both the process model and the detailed specification of IT systems supporting knowledge management are considered by the author as complex structures that require to be hosted in a dedicated support environment. Key assumptions of a tool, named KMBoost, are outlined to show how a simple, but interactive toolset can foster the understanding and usage of the KM process model. In the concluding remarks a high level SWOT analysis of the KM process model and the KMBoost tool is conducted.

Abstract

The issue of socio-economic convergence is nowadays more than ever an extremely dominant topic, especially in the case of less developed countries and countries suffering stagnation, mainly due to the integration processes occurring worldwide and the determinant to achieve long-term growth in an effort to advance towards the socioeconomic sustainable level of developed economies. A key assumption towards convergence is that economies with initially lower socio-economic levels will at some point reach (in an idea case) or get very close the level of developed economies, gradually reducing the gap between the capital stock and the level of product size between countries, while the lower economic level the country has, the higher the growth rate it will go through the transition period. This suggests that the economies with lower levels of performance will grow on average at a higher rate than economies that are more efficient. It is therefore expected that the growth performance of a country will with its improvement also at some point slow down and quite realistically there can also occur a situation where the levels of development and growth of individual states economies will rather show delay. This is basically an opposite action to the concept of convergence, which is known as the divergence. The aim of our research paper is to analyze closely the concept of convergence, while pointing it is specifically characteristics and overall focusing on the significance of the issue of convergence.

Abstract

The article presents the results of research devoted to comparing accessibility in terms of theoretical and real travel times by car at inter-regional, intra-regional and intra-urban scales. The research strives to achieve three types of aim. The methodological aim is to assess the suitability of the data for research into transport geography, in particular with regard to accessibility. This objective also focuses on developing a method for acquiring and processing source data from suppliers. The cognitive goal is to analyse the spatial differentiation of theoretical and real travel times at different spatial scales. In terms of application, the focus is on the use of real travel time data for transport planning. Data on theoretical travel times includes the author’s own calculations based on analyses whose key assumption is that cars move on a road network at the maximum speeds allowed by the law with all other variables being excluded. The other source of data (on real travel times) is the Distance Matrix Response provided by Google Maps APIs. Due to methods such as isochrones and cumulative accessibility it was concluded that data obtained from Google servers is highly useful for research into transport geography, including time accessibility analyses. The patterns presented here however cannot be treated uncritically or used for unrestricted analysis. With regard to the cognitive goal, it should be emphasized that spatial variations in travel differences, resulting from theoretical and real variants for journeys between regional cities in Poland, between settlement units within one region, or within one of its large cities, are heterogeneous depending on the nature and length of the journey. Therefore, depending on the spatial extent of analysis, divergences in travel times should be expected.

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