Search (2 results, page 1 of 1)

  • × author_ss:"Fang, Z."
  • × year_i:[2020 TO 2030}
  1. Fang, Z.; Liu, Y.; Jiang, F.; Dong, W.: How does family support influence digital immigrants' extended use of smartphones? : an empirical study based on IT identity theory (2023) 0.01
    0.011831312 = product of:
      0.05915656 = sum of:
        0.05915656 = weight(_text_:it in 1091) [ClassicSimilarity], result of:
          0.05915656 = score(doc=1091,freq=12.0), product of:
            0.15115225 = queryWeight, product of:
              2.892262 = idf(docFreq=6664, maxDocs=44218)
              0.052260913 = queryNorm
            0.39137068 = fieldWeight in 1091, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              2.892262 = idf(docFreq=6664, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1091)
      0.2 = coord(1/5)
    
    Abstract
    The number of digital immigrants using new technologies such as smartphones is rapidly increasing. However, digital immigrants still struggle to actually use and benefit from digital technology. This article examines the role of family support in digital immigrants' use of more smartphone functions based on information technology (IT) identity theory. We surveyed 241 digital immigrants who owned smartphones and used structural equation modeling (PLS-SEM) for analysis. We examined the contributing roles of family support for digital immigrants' IT identity and extended use behavior. Family cognitive and emotional support can shape IT identity by improving the smartphone-related experience. Family support has a positive impact on digital immigrants' self-efficacy, embeddedness, perceived usefulness, and perceived enjoyment of using a smartphone. Positive usage experience can also facilitate the establishment of IT identity, which is a key predictor of smartphone use behavior. A strong IT identity also promotes extended use behavior. We discuss the contributions and implications of our findings.
  2. Zhang, L.; Gou, Z.; Fang, Z.; Sivertsen, G.; Huang, Y.: Who tweets scientific publications? : a large-scale study of tweeting audiences in all areas of research (2023) 0.00
    0.004830113 = product of:
      0.024150565 = sum of:
        0.024150565 = weight(_text_:it in 1189) [ClassicSimilarity], result of:
          0.024150565 = score(doc=1189,freq=2.0), product of:
            0.15115225 = queryWeight, product of:
              2.892262 = idf(docFreq=6664, maxDocs=44218)
              0.052260913 = queryNorm
            0.15977642 = fieldWeight in 1189, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.892262 = idf(docFreq=6664, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1189)
      0.2 = coord(1/5)
    
    Abstract
    The purpose of this study is to investigate the validity of tweets about scientific publications as an indicator of societal impact by measuring the degree to which the publications are tweeted beyond academia. We introduce methods that allow for using a much larger and broader data set than in previous validation studies. It covers all areas of research and includes almost 40 million tweets by 2.5 million unique tweeters mentioning almost 4 million scientific publications. We find that, although half of the tweeters are external to academia, most of the tweets are from within academia, and most of the external tweets are responses to original tweets within academia. Only half of the tweeted publications are tweeted outside of academia. We conclude that, in general, the tweeting of scientific publications is not a valid indicator of the societal impact of research. However, publications that continue being tweeted after a few days represent recent scientific achievements that catch attention in society. These publications occur more often in the health sciences and in the social sciences and humanities.

Authors

Themes