Toward New Metrics for Net-Enhanced Organizations.

Author List: Straub, Detmar W.; Hoffman, Donna L.; Weber, Bruce W.; Steinfield, Charles;
Information Systems Research, 2002, Volume 13, Issue 3, Page 227-238.
Metrics are sine qua non for solid research, and scientific metrics have now been advanced with new approaches in the arena of Net-enablement (NE), otherwise known as e-commerce. Questions that likely require additional attention include: (1) Where/what is the real value in substituting information for physical processes?, (2) which NE systems effectively support end-to-end fulfillment?, and (3) when should a Net-enabled organization share information? With respect to extant studies in Net-enhancement, the field has been advanced in three methodological dimensions. Multiple methods have been used to validate measures. Approaches to metrics using archival/secondary data have also been initiated. Finally, strong external validity has been established through large scale data gathering.
Keywords: Measurement; Metrics; Net-Enablement; Net-Enhancement; Research Constructs
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#32 0.175 research studies issues researchers scientific methodological article conducting conduct advanced rigor researcher methodology practitioner issue relevance findings validation papers published
#114 0.140 performance firm measures metrics value relationship firms results objective relationships firm's organizational traffic measure market study improve accounting measuring aggregate
#6 0.129 data used develop multiple approaches collection based research classes aspect single literature profiles means crowd collected trend accuracy databases accurate
#162 0.102 structural modeling scale equation implications economies large future framework perspective propose broad scope resulting identified leading analyzed second interviews analysis
#44 0.072 approach analysis application approaches new used paper methodology simulation traditional techniques systems process based using proposed method present provides various
#209 0.059 results study research information studies relationship size variables previous variable examining dependent increases empirical variance accounting independent demonstrate important addition