Structuring computer-mediated communication systems to avoid information overload
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Computers in Human Behavior
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Individuals within organizations are beginning to make an important realization: more information technology (IT) usage in the workplace can, at times, lead to productivity losses. We conceptualize this frequently observed, but largely ignored phenomenon as technology overload, when additional technology tools begin to crowd out one's productivity instead of enhancing it. We found support for three main factors contributing technology-based productivity losses through information overload, communication overload, and system feature overload. Interestingly, these factors are a function of the individuals who use the technology, not the technology itself. In this paper, we present the results from three studies that (1) develop and pre-test a scale measurement for technology overload and its distinct dimensions, (2) validate the instrument, and (3) explore the relationship between technology overload and knowledge worker productivity. Our findings demonstrate the relationship between information technology usage and knowledge worker productivity, and they suggest how tradeoffs can be managed to ameliorate technology overload.