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HOW TRANSACTIONAL LEADERSHIP IMPACTS TACIT AND EXPLICIT KNOWLEDGE HIDING: THE ROLE OF PERCEIVED COMPETITION AND LEADER KNOWLEDGE HIDING
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HOW TRANSACTIONAL LEADERSHIP IMPACTS TACIT AND EXPLICIT KNOWLEDGE HIDING: THE ROLE OF PERCEIVED COMPETITION AND LEADER KNOWLEDGE HIDING (2024)HOW TRANSACTIONAL LEADERSHIP IMPACTS TACI…Determinants of Continuance Intention towards Banks’ Chatbot Services in Vietnam: A Necessity for Sustainable Development (2021)Determinants of Continuance I…Continuance intention of online technologies: A systematic literature review (2021)Continuance intention of onli…Consumers’ Decision-Making Process on Social Commerce Platforms: Online Trust, Perceived Risk, and Purchase Intentions (2020)Consumers’ Decision-Making Pr…Consumers response towards mobile commerce applications: S-O-R approach (2020)Consumers response towards mo…Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality (2019)Determinants of Continuous In…What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage (2018)What determines success of an…Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology (2018)Mobile shopping apps adoption…Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation (2018)Examining the role of trust a…A Statistical Significance Test for Necessary Condition Analysis (2018)A Statistical Significance Te…Understanding mobile shopping consumers’ continuance intention (2017)Understanding mobile shopping…Information Systems Success Measurement (2016)Information Systems Success M…Common Method Bias in PLS-SEM (2015)Common Method Bias in PLS-SEMExpectation confirmation: An examination of three competing models (2007)Expectation confirmation: An …A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior (2006)A longitudinal investigation …Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model (2004)Measuring e-Commerce Success:…Information Systems Success: The Quest for the Dependent Variable (1992)Information Systems Success: …The Method of Path Coefficients (1934)Common method biases in behavioral research: A critical review of the literature and recommended remedies. 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References

  • 2015Common Method Bias in PLS-SEM11,396 cited
  • 1992Information Systems Success: The Quest for the Dependent Variable10,815 cited
  • 2004Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model1,423 cited
  • 2018Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation724 cited
  • 2018A Statistical Significance Test for Necessary Condition Analysis691 cited
  • 2016Information Systems Success Measurement644 cited
  • 2020Consumers’ Decision-Making Process on Social Commerce Platforms: Online Trust, Perceived Risk, and Purchase Intentions534 cited
  • 2018Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology494 cited
  • 2006A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior490 cited
  • 2018What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage427 cited
  • 2020Consumers response towards mobile commerce applications: S-O-R approach379 cited
  • 2019Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality369 cited
  • 2021Determinants of Continuance Intention towards Banks’ Chatbot Services in Vietnam: A Necessity for Sustainable Development269 cited

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  • 2017Understanding mobile shopping consumers’ continuance intention239 cited
  • 2007Expectation confirmation: An examination of three competing models238 cited
  • 2021Continuance intention of online technologies: A systematic literature review238 cited
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