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Uncertainty and subjective task complexity in the information-seeking behaviour of lawyers
16 references·1 citing·34 second hop
Uncertainty and subjective task complexity in the information-seeking behaviour of lawyers (2017)Uncertainty and subjective task complexit…Partial least squares structural equation modeling (PLS-SEM) (2014)Partial least squares structu…Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It (2014)Partial Least Squares (PLS) S…A primer on partial least squares structural equation modeling (PLS-SEM) (2014)A primer on partial least squ…PLS-SEM: Indeed a Silver Bullet (2011)PLS-SEM: Indeed a Silver Bull…The use of partial least squares path modeling in international marketing (2009)The use of partial least squa…Testing Moderating Effects in PLS Path Models: An Illustration of Available Procedures (2009)Testing Moderating Effects in…Survey Research Methods (4th ed.) (2009)Survey Research Methods (4th …The influence of degree of expertise and objective task complexity on perceived task complexity and performance. (2007)The influence of degree of ex…Research design: qualitative, quantitative and mixed methods approachesResearch design: qualitative, quantitative and mixed methods approaches Creswell John W Sage 320 £29 0761924426 0761924426 (2004)Research design: qualitative,…Impact of Environmental Uncertainty and Task Characteristics on User Satisfaction with Data (2004)Impact of Environmental Uncer…Information seeking and mediated searching: Part 2. Uncertainty and its correlates (2002)Information seeking and media…Information and information sources in tasks of varying complexity (2002)Information and information s…Effects of Objective and Subjective Task Complexity on Performance (1997)Effects of Objective and Subj…Modeling the Information Seeking of Professionals: A General Model Derived from Research on Engineers, Health Care Professionals, and Lawyers (1996)Modeling the Information Seek…Information needs and uses (1986)Information needs and usesEvaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…Confronting the “I Don’t Know”: A Philosophical Consideration of Applying Abductive Reasoning to Library Practice (2021)Confronting the “I Don’t Know…On the Evaluation of Structural Equation Models (1988)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Accounting for common method variance in cross-sectional research designs. (2001)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Influence of Experiences on Memories, Satisfaction and Behavioral Intentions: A Study of Creative Tourism (2015)Partial least squares structural equation modeling in HRM research (2018)Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective (2020)Coefficient Alpha and the Internal Structure of Tests (1951)Structural Equations with Latent Variables. 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(1980)Little Science, Big Science (1963)Managing the Flow of Technology: Technology Transfer and the Dissemination of Technological Information Within the R&D Organization (1977)A nonlinear model of information‐seeking behavior (2003)Information grounds and the use of need‐based services by immigrants in Queens, New York: A context‐based, outcome evaluation approach (2004)Looking for Information: A Survey of Research on Information Seeking, Needs, and Behavior (2016)Everyday life information seeking: Approaching information seeking in the context of “way of life” (1995)Information behaviour: An interdisciplinary perspective (1997)An Integrated Approach to Communication Theory and Research (2014)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)When to use and how to report the results of PLS-SEM (2018)Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers (2014)Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)Quantitative, Qualitative, and Mixed Research Methods in Engineering Education (2009)Exploring the Philosophical Underpinnings of Research: Relating Ontology and Epistemology to the Methodology and Methods of the Scientific, Interpretive, and Critical Research Paradigms (2012)The impact of language barriers on trust formation in multinational teams (2013)
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References

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  • 2011PLS-SEM: Indeed a Silver Bullet21,614 cited
  • 2014A primer on partial least squares structural equation modeling (PLS-SEM)12,786 cited
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  • 2004Research design: qualitative, quantitative and mixed methods approachesResearch design: qualitative, quantitative and mixed methods approaches Creswell John W Sage 320 £29 0761924426 07619244262,031 cited
  • 2014Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It1,899 cited
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  • 2004Impact of Environmental Uncertainty and Task Characteristics on User Satisfaction with Data

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191 cited
  • 2002Information seeking and mediated searching: Part 2. Uncertainty and its correlates162 cited
  • 2007The influence of degree of expertise and objective task complexity on perceived task complexity and performance.105 cited
  • Cited by

    • 2021Confronting the “I Don’t Know”: A Philosophical Consideration of Applying Abductive Reasoning to Library Practice3 cited