Search (4 results, page 1 of 1)

  • × author_ss:"Nov, O."
  • × year_i:[2010 TO 2020}
  1. Nov, O.; Schecter, W.: Dispositional resistance to change and hospital physicians' use of electronic medical records : a multidimensional perspective (2012) 0.01
    0.0069887503 = product of:
      0.0419325 = sum of:
        0.02096625 = weight(_text_:web in 44) [ClassicSimilarity], result of:
          0.02096625 = score(doc=44,freq=2.0), product of:
            0.11629491 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.035634913 = queryNorm
            0.18028519 = fieldWeight in 44, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=44)
        0.02096625 = weight(_text_:web in 44) [ClassicSimilarity], result of:
          0.02096625 = score(doc=44,freq=2.0), product of:
            0.11629491 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.035634913 = queryNorm
            0.18028519 = fieldWeight in 44, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=44)
      0.16666667 = coord(2/12)
    
    Abstract
    Although electronic medical records (EMR) adoption by health care organizations has been widely studied, little is known about the determinants of EMR individual use by physicians after institutional adoption has taken place. In this study, the determinants of inpatient physicians' continuous use of EMR were studied. Four dimensions of EMR use were analyzed: use intensity, use extent, use frequency, and use scope. A web-based survey was administered to physicians at a large university hospital; respondents filled out a survey with questions relating to their EMR use, attitude, beliefs, work style, and dispositional resistance to change. Structural equation modeling was carried out to analyze the relationship between these factors. Physicians were found to differ substantially in the scope, extent, and intensity of their EMR use. Their attitude toward EMR use was associated with all use dimensions. Dispositional resistance to change was negatively related to perceived ease of use and with perceived usefulness both directly and through the mediation of compatibility with preferred work style. Time loss was negatively related to both perceived usefulness and attitude toward EMR use. Implications for research and practice are discussed.
  2. Nov, O.; Naaman, M.; Ye, C.: Analysis of participation in an online photo-sharing community : a multidimensional perspective (2010) 0.01
    0.0057179923 = product of:
      0.068615906 = sum of:
        0.068615906 = weight(_text_:tagging in 3424) [ClassicSimilarity], result of:
          0.068615906 = score(doc=3424,freq=2.0), product of:
            0.21038401 = queryWeight, product of:
              5.9038734 = idf(docFreq=327, maxDocs=44218)
              0.035634913 = queryNorm
            0.326146 = fieldWeight in 3424, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.9038734 = idf(docFreq=327, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3424)
      0.083333336 = coord(1/12)
    
    Theme
    Social tagging
  3. Nakayama, S.; Tolbert, T.J.; Nov, O.; Porfiri, M.: Social information as a means to enhance engagement in citizen science-based telerehabilitation (2019) 0.01
    0.0057179923 = product of:
      0.068615906 = sum of:
        0.068615906 = weight(_text_:tagging in 5250) [ClassicSimilarity], result of:
          0.068615906 = score(doc=5250,freq=2.0), product of:
            0.21038401 = queryWeight, product of:
              5.9038734 = idf(docFreq=327, maxDocs=44218)
              0.035634913 = queryNorm
            0.326146 = fieldWeight in 5250, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.9038734 = idf(docFreq=327, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5250)
      0.083333336 = coord(1/12)
    
    Abstract
    Advancements in computer-mediated exercise put forward the feasibility of telerehabilitation, but it remains a challenge to retain patients' engagement in exercises. Building on our previous study demonstrating enhanced engagement in citizen science through social information about others' contributions, we propose a novel framework for effective telerehabilitation that integrates citizen science and social information into physical exercise. We hypothesized that social information about others' contributions would augment engagement in physical activity by encouraging people to invest more effort toward discovery of novel information in a citizen science context. We recruited healthy participants to monitor the environment of a polluted canal by tagging images using a haptic device toward gathering environmental information. Along with the images, we displayed the locations of the tags created by the previous participants. We found that participants increased both the amount and duration of physical activity when presented with a larger number of the previous tags. Further, they increased the diversity of tagged objects by avoiding the locations tagged by the previous participants, thereby generating richer information about the environment. Our results suggest that social information is a viable means to augment engagement in rehabilitation exercise by incentivizing the contribution to scientific activities.
  4. Nov, O.; Laut, J.; Porfiri, M.: Using targeted design interventions to encourage extra-role crowdsourcing behavior (2016) 0.00
    0.0010058414 = product of:
      0.012070097 = sum of:
        0.012070097 = product of:
          0.024140194 = sum of:
            0.024140194 = weight(_text_:22 in 2653) [ClassicSimilarity], result of:
              0.024140194 = score(doc=2653,freq=2.0), product of:
                0.12478739 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.035634913 = queryNorm
                0.19345059 = fieldWeight in 2653, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2653)
          0.5 = coord(1/2)
      0.083333336 = coord(1/12)
    
    Date
    22. 1.2016 14:43:06