Search (2 results, page 1 of 1)

  • × author_ss:"Jenkins, J."
  1. Welty, C.A.; Jenkins, J.: Formal ontology for subject (1999) 0.01 
    0.007112743 = product of:
  0.021338228 = sum of:
    0.021338228 = weight(_text_:on in 4962) [ClassicSimilarity], result of:
      0.021338228 = score(doc=4962,freq=2.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.19440265 = fieldWeight in 4962, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0625 = fieldNorm(doc=4962)
  0.33333334 = coord(1/3)
    Abstract
    Subject based classification is an important part of information retrieval, and has a long history in libraries, where a subject taxonomy was used to determine the location of books on the shelves. We have been studying the notion of subject itself, in order to determine a formal ontology of subject for a large scale digital library card catalog system. Deep analysis reveals a lot of ambiguity regarding the usage of subjects in existing systems and terminology, and we attempt to formalize these notions into a single framework for representing it.
  2. Lowry, P.B.; Moody, G.; Vance, A.; Jensen, M.; Jenkins, J.; Wells, T.: Using an elaboration likelihood approach to better understand the persuasiveness of website privacy assurance cues for online consumers (2012) 0.01 
    0.0062868367 = product of:
  0.01886051 = sum of:
    0.01886051 = weight(_text_:on in 47) [ClassicSimilarity], result of:
      0.01886051 = score(doc=47,freq=4.0), product of:
        0.109763056 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.04990557 = queryNorm
        0.1718293 = fieldWeight in 47, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0390625 = fieldNorm(doc=47)
  0.33333334 = coord(1/3)
    Abstract
    Privacy concerns can greatly hinder consumers' intentions to interact with a website. The success of a website therefore depends on its ability to improve consumers' perceptions of privacy assurance. Seals and assurance statements are mechanisms often used to increase this assurance; however, the findings of the extant literature regarding the effectiveness of these tools are mixed. We propose a model based on the elaboration likelihood model (ELM) that explains conditions under which privacy assurance is more or less effective, clarifying the contradictory findings in previous literature. We test our model in a free-simulation online experiment, and the results of the analysis indicate that the inclusion of assurance statements and the combination, understanding, and assurance of seals influence privacy assurance. Privacy assurance is most effective when seals and statements are accompanied by the peripheral cues of website quality and brand image and when counter-argumentation-through transaction risk-is minimized. Importantly, we show ELM to be an appropriate theoretical lens to explain the equivocal results in the literature. Finally, we suggest theoretical and practical implications.

Authors

Years