Search (579 results, page 1 of 29)

0.25191826 = product of:
  0.37787735 = sum of:
    0.07207768 = product of:
      0.21623303 = sum of:
        0.21623303 = weight(_text_:3a in 484) [ClassicSimilarity], result of:
          0.21623303 = score(doc=484,freq=2.0), product of:
            0.38474393 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.04538139 = queryNorm
            0.56201804 = fieldWeight in 484, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.046875 = fieldNorm(doc=484)
      0.33333334 = coord(1/3)
    0.30579966 = weight(_text_:2f in 484) [ClassicSimilarity], result of:
      0.30579966 = score(doc=484,freq=4.0), product of:
        0.38474393 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.04538139 = queryNorm
        0.7948135 = fieldWeight in 484, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.046875 = fieldNorm(doc=484)
  0.6666667 = coord(2/3)

Footnote

https%3A%2F%2Fjournals.univie.ac.at%2Findex.php%2Fvoebm%2Farticle%2Fdownload%2F5332%2F5271%2F&usg=AOvVaw2yQdFGHlmOwVls7ANCpTii.

0.19220714 = product of:
  0.2883107 = sum of:
    0.07207768 = product of:
      0.21623303 = sum of:
        0.21623303 = weight(_text_:3a in 400) [ClassicSimilarity], result of:
          0.21623303 = score(doc=400,freq=2.0), product of:
            0.38474393 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.04538139 = queryNorm
            0.56201804 = fieldWeight in 400, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.046875 = fieldNorm(doc=400)
      0.33333334 = coord(1/3)
    0.21623303 = weight(_text_:2f in 400) [ClassicSimilarity], result of:
      0.21623303 = score(doc=400,freq=2.0), product of:
        0.38474393 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.04538139 = queryNorm
        0.56201804 = fieldWeight in 400, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.046875 = fieldNorm(doc=400)
  0.6666667 = coord(2/3)

Content

Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.

0.09610357 = product of:
  0.2883107 = sum of:
    0.2883107 = weight(_text_:2f in 2188) [ClassicSimilarity], result of:
      0.2883107 = score(doc=2188,freq=2.0), product of:
        0.38474393 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.04538139 = queryNorm
        0.7493574 = fieldWeight in 2188, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.0625 = fieldNorm(doc=2188)
  0.33333334 = coord(1/3)

Content

Vgl. unter: https://www.leibniz-science20.de%2Fforschung%2Fprojekte%2Faltmetrics-in-verschiedenen-wissenschaftsdisziplinen%2F&ei=2jTgVaaXGcK4Udj1qdgB&usg=AFQjCNFOPdONj4RKBDf9YDJOLuz3lkGYlg&sig2=5YI3KWIGxBmk5_kv0P_8iQ.

0.061215237 = product of:
  0.18364571 = sum of:
    0.18364571 = sum of:
      0.14016889 = weight(_text_:firm in 1629) [ClassicSimilarity], result of:
        0.14016889 = score(doc=1629,freq=2.0), product of:
          0.33933386 = queryWeight, product of:
            7.4773793 = idf(docFreq=67, maxDocs=44218)
            0.04538139 = queryNorm
          0.41307074 = fieldWeight in 1629, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            7.4773793 = idf(docFreq=67, maxDocs=44218)
            0.0390625 = fieldNorm(doc=1629)
      0.043476824 = weight(_text_:22 in 1629) [ClassicSimilarity], result of:
        0.043476824 = score(doc=1629,freq=4.0), product of:
          0.15891789 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.04538139 = queryNorm
          0.27358043 = fieldWeight in 1629, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0390625 = fieldNorm(doc=1629)
  0.33333334 = coord(1/3)

Abstract

Purpose - In today's knowledge-based economy, knowledge networks (KN) increasingly are becoming vital channels for pursuing strategic objectives in project-based organizations (PBO), in which the project is the basic organizational element in its operation. KN initiatives often are started with the selection of a creation methodology, which involves complex decisions for successful implementation. Thus, the purpose of this paper is to address this critical selection of methodology and proposes a holistic framework for selecting an appropriate methodology in this kind of flatter, speedier, and more flexible organizational form. Design/methodology/approach - In the first step, the study established a theoretical background addressing the problem of KN creation in PBO. The second step defined selection criteria based on extensive literature review. In the third step, a holistic framework was constructed based on different characteristics of existing methodologies categorized according to the selected criteria. Finally, the suggested framework was empirically tested in a project-based firm and the case study and the results are discussed. Findings - A holistic framework was determined by including different aspects of a KN such as network perspectives, tools and techniques, objectives, characteristics, capabilities, and approaches. The proposed framework consisted of ten existing KN methodologies that consider qualitative and quantitative dimensions with micro and macro approaches. Originality/value - The development of the theory of KN creation methodology is the main contribution of this research. The selection framework, which was theoretically and empirically grounded, has attempted to offer a more rational and less ambiguous solution to the KN methodology selection problem in PBO forms.

Date

20. 1.2015 18:30:22
18. 9.2018 16:27:22

0.046253376 = product of:
  0.13876012 = sum of:
    0.13876012 = product of:
      0.27752024 = sum of:
        0.27752024 = weight(_text_:firm in 1066) [ClassicSimilarity], result of:
          0.27752024 = score(doc=1066,freq=4.0), product of:
            0.33933386 = queryWeight, product of:
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.04538139 = queryNorm
            0.8178384 = fieldWeight in 1066, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1066)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Abstract

Knowledge organization structures are dependent upon domain-analytical processes for determining ontological imperatives. Boundary objects-terms used in multiple domains but understood differently in each-are ontological clash points. Cognitive Work Analysis is an effective qualitative methodology for domain analysis of a group of people who work together. CWA was used recently to understand the ontology of a human resources firm. Boundary objects from the taxonomy that emerged from narrative analysis are presented here for individual analysis.

0.040463276 = product of:
  0.12138983 = sum of:
    0.12138983 = product of:
      0.24277966 = sum of:
        0.24277966 = weight(_text_:firm in 1857) [ClassicSimilarity], result of:
          0.24277966 = score(doc=1857,freq=6.0), product of:
            0.33933386 = queryWeight, product of:
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.04538139 = queryNorm
            0.7154596 = fieldWeight in 1857, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1857)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Abstract

We measure synergy for the Russian national, provincial, and regional innovation systems as reduction of uncertainty using mutual information among the 3 distributions of firm sizes, technological knowledge bases of firms, and geographical locations. Half a million units of data at firm level in 2011 were obtained from the OrbisT database of Bureau Van Dijk. The firm level data were aggregated at the levels of 8 Federal Districts, the regional level of 83 Federal Subjects, and the single level of the Russian Federation. Not surprisingly, the knowledge base of the economy is concentrated in the Moscow region (22.8%) and Saint Petersburg (4.0%). Except in Moscow itself, high-tech manufacturing does not add synergy to any other unit at any of the various levels of geographical granularity; instead it disturbs regional coordination. Knowledge-intensive services (KIS; including laboratories) contribute to the synergy in all Federal Districts (except the North-Caucasian Federal District), but only in 30 of the 83 Federal Subjects. The synergy in KIS is concentrated in centers of administration. The knowledge-intensive services (which are often state affiliated) provide backbone to an emerging knowledge-based economy at the level of Federal Districts, but the economy is otherwise not knowledge based (except for the Moscow region).

0.032706074 = product of:
  0.09811822 = sum of:
    0.09811822 = product of:
      0.19623645 = sum of:
        0.19623645 = weight(_text_:firm in 1067) [ClassicSimilarity], result of:
          0.19623645 = score(doc=1067,freq=2.0), product of:
            0.33933386 = queryWeight, product of:
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.04538139 = queryNorm
            0.57829905 = fieldWeight in 1067, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1067)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Abstract

Knowledge organization structures are dependent upon domain-analytical processes for determining ontological imperatives. Boundary objects-terms used in multiple domains but understood differently in each-are ontological clash points. Cognitive Work Analysis is an effective qualitative methodology for domain analysis of a group of people who work together. CWA was used recently to understand the ontology of a human resources firm. Boundary objects from the taxonomy that emerged from narrative analysis are presented here for individual analysis.

0.028033776 = product of:
  0.08410133 = sum of:
    0.08410133 = product of:
      0.16820265 = sum of:
        0.16820265 = weight(_text_:firm in 4981) [ClassicSimilarity], result of:
          0.16820265 = score(doc=4981,freq=2.0), product of:
            0.33933386 = queryWeight, product of:
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.04538139 = queryNorm
            0.49568486 = fieldWeight in 4981, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.046875 = fieldNorm(doc=4981)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Abstract

Web accessibility (WA) is an innovation in Web design; it can be considered as part of the corporate social responsibility (CSR) strategy of the firms. As adoption of innovations and CSR commitment are linked with firm size and national culture/legislation, we hypothesize that size and national culture/legislation, may have an effect on WA level. The authors studied an international sample made up of companies included in EUROSTOXX600 (The STOXX Europe 600 Index). The main results suggest that both size and culture have a significant effect on WA. Large firms as well as Anglo-Saxon companies are more prone to have higher WA levels. A deeper analysis, which was done through the estimation of quantile regression equations, showed that the influence of size is significant for companies trying to excel or for those trying to avoid the worst WA. However, the effect of size is significant only in the lowest part of the conditional distribution.

0.028033776 = product of:
  0.08410133 = sum of:
    0.08410133 = product of:
      0.16820265 = sum of:
        0.16820265 = weight(_text_:firm in 451) [ClassicSimilarity], result of:
          0.16820265 = score(doc=451,freq=2.0), product of:
            0.33933386 = queryWeight, product of:
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.04538139 = queryNorm
            0.49568486 = fieldWeight in 451, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.046875 = fieldNorm(doc=451)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Abstract

Drawing from the resource complementarity perspective of the resource-based view of a firm, this study examines the complementary role of governance dimensions-namely, voice and accountability, political stability, government effectiveness, regulatory quality, rule of law, and control of corruption-on the relationship between information infrastructure in a country and its e-government development. Based on publicly available archival data from 178 countries, our results provide support for the hypothesized model. Specifically, whereas political stability, government effectiveness, and rule of law moderated the relationship of information infrastructure with e-government development in a positive direction, voice and accountability and control of corruption moderated the relationship negatively. Further, the relationship between information infrastructure and e-government development was not contingent on regulatory quality. Our findings contribute to the theoretical discourse on e-government development by highlighting the complementary role of governance and provide suggestions for practice in managing e-government development by enhancing governance, thereby leveraging the effect of information infrastructure on e-government development.

0.028033776 = product of:
  0.08410133 = sum of:
    0.08410133 = product of:
      0.16820265 = sum of:
        0.16820265 = weight(_text_:firm in 1047) [ClassicSimilarity], result of:
          0.16820265 = score(doc=1047,freq=2.0), product of:
            0.33933386 = queryWeight, product of:
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.04538139 = queryNorm
            0.49568486 = fieldWeight in 1047, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.046875 = fieldNorm(doc=1047)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Abstract

Based on the complete set of firm data for Sweden (N = 1,187,421; November 2011), we analyze the mutual information among the geographical, technological, and organizational distributions in terms of synergies at regional and national levels. Using this measure, the interaction among three dimensions can become negative and thus indicate a net export of uncertainty by a system or, in other words, synergy in how knowledge functions are distributed over the carriers. Aggregation at the regional level (NUTS3) of the data organized at the municipal level (NUTS5) shows that 48.5% of the regional synergy is provided by the 3 metropolitan regions of Stockholm, Gothenburg, and Malmö/Lund. Sweden can be considered a centralized and hierarchically organized system. Our results accord with other statistics, but this triple helix indicator measures synergy more specifically and quantitatively. The analysis also provides us with validation for using this measure in previous studies of more regionalized systems of innovation (such as Hungary and Norway).

0.028033776 = product of:
  0.08410133 = sum of:
    0.08410133 = product of:
      0.16820265 = sum of:
        0.16820265 = weight(_text_:firm in 1205) [ClassicSimilarity], result of:
          0.16820265 = score(doc=1205,freq=2.0), product of:
            0.33933386 = queryWeight, product of:
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.04538139 = queryNorm
            0.49568486 = fieldWeight in 1205, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.046875 = fieldNorm(doc=1205)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

0.028033776 = product of:
  0.08410133 = sum of:
    0.08410133 = product of:
      0.16820265 = sum of:
        0.16820265 = weight(_text_:firm in 3143) [ClassicSimilarity], result of:
          0.16820265 = score(doc=3143,freq=2.0), product of:
            0.33933386 = queryWeight, product of:
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.04538139 = queryNorm
            0.49568486 = fieldWeight in 3143, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.046875 = fieldNorm(doc=3143)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Abstract

One of the key challenges for innovation and technology-mediated knowledge collaboration within organizational settings is motivating contributors to share their knowledge. Drawing upon self-determination theory, we investigate 2 forms of motivation: internally driven (autonomous motivation) and externally driven (controlled motivation). Knowledge sharing could be viewed as a required in-role activity or as discretionary extra-role behavior. In this study, we examine the moderating effect of role perceptions on the relations between each of the two motivational constructs and knowledge sharing, paying particular attention to the affordances of the enabling information technology. An analysis of survey data from a wiki-based organizational encyclopedia in a large, multinational firm reveals that when contributors' motivation is externally driven, they are more likely to share knowledge if this activity is viewed as in-role behavior. However, when contributors' motivation is internally driven, they are more likely to participate in knowledge sharing when this activity is viewed as extra-role behavior. Theoretical and practical implications are discussed.

0.028033776 = product of:
  0.08410133 = sum of:
    0.08410133 = product of:
      0.16820265 = sum of:
        0.16820265 = weight(_text_:firm in 3787) [ClassicSimilarity], result of:
          0.16820265 = score(doc=3787,freq=2.0), product of:
            0.33933386 = queryWeight, product of:
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.04538139 = queryNorm
            0.49568486 = fieldWeight in 3787, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.046875 = fieldNorm(doc=3787)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Abstract

As organizational security breaches increase, so too does the need to fully understand the human factors that lead to these breaches and take the necessary steps to minimize threats. The present study evaluates how three sets of employee characteristics (demographic, company-specific, and skills-based) predict an employee's likelihood of becoming a security breach victim. In order to move beyond traditional evaluations of security threats, which generally consider security threats individually, analyses in this paper approach security vulnerability from a more holistic approach to analyze four risk categories concurrently: phishing, passwords, bring your own device (BYOD), and company-supplied laptops. Findings from a survey of 250 employees at a medium-sized American information technology (IT) consulting firm identify higher-risk employees across the four risk areas and provide new insights into the challenges organizations face when trying to ensure the protection of company data.

0.023361482 = product of:
  0.070084445 = sum of:
    0.070084445 = product of:
      0.14016889 = sum of:
        0.14016889 = weight(_text_:firm in 4490) [ClassicSimilarity], result of:
          0.14016889 = score(doc=4490,freq=2.0), product of:
            0.33933386 = queryWeight, product of:
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.04538139 = queryNorm
            0.41307074 = fieldWeight in 4490, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4490)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Abstract

Purpose - This research aims to identify some requirements for supporting user interactions with electronic current-awareness alert systems based on data from a professional work environment. Design/methodology/approach - Qualitative data were gathered using contextual inquiry observations with 21 workers at the London office of an international law firm. The analysis uses CASSM ("Concept-based Analysis of Surface and Structural Misfits"), a usability evaluation method structured around identifying mismatches, or "misfits", between user-concepts and concepts represented within a system. Findings - Participants were frequently overwhelmed by e-mail alerts, and a key requirement is to support efficient interaction. Several misfits, which act as barriers to efficient reviewing and follow-on activities, are demonstrated. These relate to a lack of representation of key user-concepts at the interface and/or within the system, including alert items and their properties, source documents, "back-story", primary sources, content categorisations and user collections. Research limitations/implications - Given these misfits, a set of requirements is derived to improve the efficiency with which users can achieve key outcomes with current-awareness information as these occur within a professional work environment. Originality/value - The findings will be of interest to current-awareness providers. The approach is relevant to information interaction researchers interested in deriving design requirements from naturalistic studies.

0.023361482 = product of:
  0.070084445 = sum of:
    0.070084445 = product of:
      0.14016889 = sum of:
        0.14016889 = weight(_text_:firm in 1859) [ClassicSimilarity], result of:
          0.14016889 = score(doc=1859,freq=2.0), product of:
            0.33933386 = queryWeight, product of:
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.04538139 = queryNorm
            0.41307074 = fieldWeight in 1859, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1859)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Abstract

Adverse selection occurs when a firm signs a contract with a potential worker but his/her key skills are still not known at that time, which leads the employer to make a wrong decision. In this article, we study the example of adverse selection of reviewers when a potential referee whose ability is his private information faces a finite sequence of review processes for several scholarly journals, one after the other. Our editor's problem is to design a system that guarantees that each manuscript is reviewed by a referee if and only if the reviewer's ability matches the review's complexity. As is typically the case in solving problems of adverse selection in agency theory, the journal editor offers a menu of contracts to the potential referee, from which the reviewer chooses the contract that is best for him given his ability. The optimal contract will be the one that provides the right incentives to match the complexity of the review and the ability of the reviewer. The payment of contracts is made through a proportional increment of the reviewer factor, which measures the importance of reviewers to their field.

0.023361482 = product of:
  0.070084445 = sum of:
    0.070084445 = product of:
      0.14016889 = sum of:
        0.14016889 = weight(_text_:firm in 5053) [ClassicSimilarity], result of:
          0.14016889 = score(doc=5053,freq=2.0), product of:
            0.33933386 = queryWeight, product of:
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.04538139 = queryNorm
            0.41307074 = fieldWeight in 5053, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              7.4773793 = idf(docFreq=67, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5053)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Abstract

Big Data Analytics (BDA) is increasingly becoming a trending practice that generates an enormous amount of data and provides a new opportunity that is helpful in relevant decision-making. The developments in Big Data Analytics provide a new paradigm and solutions for big data sources, storage, and advanced analytics. The BDA provide a nuanced view of big data development, and insights on how it can truly create value for firm and customer. This article presents a comprehensive, well-informed examination, and realistic analysis of deploying big data analytics successfully in companies. It provides an overview of the architecture of BDA including six components, namely: (i) data generation, (ii) data acquisition, (iii) data storage, (iv) advanced data analytics, (v) data visualization, and (vi) decision-making for value-creation. In this paper, seven V's characteristics of BDA namely Volume, Velocity, Variety, Valence, Veracity, Variability, and Value are explored. The various big data analytics tools, techniques and technologies have been described. Furthermore, it presents a methodical analysis for the usage of Big Data Analytics in various applications such as agriculture, healthcare, cyber security, and smart city. This paper also highlights the previous research, challenges, current status, and future directions of big data analytics for various application platforms. This overview highlights three issues, namely (i) concepts, characteristics and processing paradigms of Big Data Analytics; (ii) the state-of-the-art framework for decision-making in BDA for companies to insight value-creation; and (iii) the current challenges of Big Data Analytics as well as possible future directions.

0.014492275 = product of:
  0.043476824 = sum of:
    0.043476824 = product of:
      0.08695365 = sum of:
        0.08695365 = weight(_text_:22 in 2810) [ClassicSimilarity], result of:
          0.08695365 = score(doc=2810,freq=4.0), product of:
            0.15891789 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04538139 = queryNorm
            0.54716086 = fieldWeight in 2810, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=2810)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Date

22. 7.2004 9:42:33
22. 4.2017 11:58:05

0.014492275 = product of:
  0.043476824 = sum of:
    0.043476824 = product of:
      0.08695365 = sum of:
        0.08695365 = weight(_text_:22 in 3582) [ClassicSimilarity], result of:
          0.08695365 = score(doc=3582,freq=4.0), product of:
            0.15891789 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04538139 = queryNorm
            0.54716086 = fieldWeight in 3582, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=3582)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Date

22. 4.2017 10:42:05
22. 4.2017 10:48:38

0.014492275 = product of:
  0.043476824 = sum of:
    0.043476824 = product of:
      0.08695365 = sum of:
        0.08695365 = weight(_text_:22 in 3975) [ClassicSimilarity], result of:
          0.08695365 = score(doc=3975,freq=4.0), product of:
            0.15891789 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04538139 = queryNorm
            0.54716086 = fieldWeight in 3975, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=3975)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Date

22. 2.2018 12:06:44
22. 2.2018 12:13:53

0.014346621 = product of:
  0.043039862 = sum of:
    0.043039862 = product of:
      0.086079724 = sum of:
        0.086079724 = weight(_text_:22 in 4347) [ClassicSimilarity], result of:
          0.086079724 = score(doc=4347,freq=2.0), product of:
            0.15891789 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04538139 = queryNorm
            0.5416616 = fieldWeight in 4347, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.109375 = fieldNorm(doc=4347)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Date

22. 3.2013 16:18:36