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Information Seeking Stopping Behavior in Online Scenarios

The Impact of Task, Technology and Individual Characteristics


Erik Hemmer

The growing amount of information provided via web-based information technologies forces the users of these technologies to stop seeking for information before having acquired all available information. This stopping decision is either made actively following clear guidelines or subconsciously based on the seeker’s intuition. This book analyzes the aforementioned duality by developing and testing a multi-theoretical research model dealing with information seeking stopping behavior in online scenarios. Thus, by delivering insights into the mechanisms that influence information seeking activities, this study does not only advance theory building in the Information Systems discipline and adjacent fields but is also highly relevant for practitioners and developers of information technology.


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List of Abbreviations


List o f A bbreviations ANOVA Analysis of Variance AR Autoregressive CMC Computer-mediated Communication EIP Elementary Information Processes EIS Executive Information Systems ECG Electrocardiography EEG Electroencephalography ELM Elaboration Likelihood Model of Persuasion FFM Five Factor Model FFT Fast Fourier Transform fMRI functional Magnetic Resonance Imaging GSR Galvanic Skin Response HCI Human-Computer Interaction HIB Human Information Behavior HCIB Human Computer-based Information Behavior HSM Heuristic-Systematic Model of Information Processing HTTF Human Task Technology Fit IS Information Systems (Discipline) MIS Management Information Systems PLS Partial Least Squares REI Rational-Experiential Inventory RSA Respiratory Sinus Arrhythmia xviii List o f A bbreviations SD Standard Deviation SE Standard Error SEM Structural Equation Modeling TAM Technology Acceptance Model

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