Success of Data Resource Management in Distributed Environments: An Empirical Investigation.

Author List: Jain, Hemant; Ramamurthy, K.; Ryu, Hwa-Suk; Yasai-Ardekani, Masoud;
MIS Quarterly, 1998, Volume 22, Issue 1, Page 1/29/2017.
The trend toward distributed processing has significantly increased the awareness of data as a key corporate resource and underscored the importance of its management. In spite of this, there is a lack of empirical investigation of issues related to data resource management (DRM) in distributed processing environments. Being perhaps the first empirical attempt, this exploratory study identifies four information systems (IS) variables related to DRM in a distributed environment. It also seeks to examine the notion of gestalt fit to describe the nature of the relationships among these variables. In addition, the study evaluates whether internally congruent groups outperform their opposites in realizing DRM success. The results of cluster analysis support the view of gestalt fit by identifying five clusters. The results also suggest that organizations represented by a well-blended configuration of high intersite data dependence, high centralization of IS decisions, high concentration IS resources at the central site, and low DRM-related autonomy granted to local sites appear to realize a greater degree of DRM success than the other groups. The implications of the study are discussed, and further research directions are proposed.
Keywords: autonomy; centralization; cluster analysis; Data resource management; distributed databases; distributed processing; gestalt fit; intersite data dependence
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#165 0.173 uncertainty contingency integration environmental theory data fit key using model flexibility perspective environment perspectives high conditions processing examine issue uncertain
#198 0.165 factors success information critical management implementation study factor successful systems support quality variables related results key model csf importance determinants
#71 0.108 distributed agents agent intelligent environments environment smart computational environmental scheduling human rule using does embodied provide trends computer-aided heterogeneous inventory
#17 0.104 empirical model relationships causal framework theoretical construct results models terms paper relationship based argue proposed literature issues assumptions provide suggest
#254 0.098 level levels higher patterns activity results structures lower evolution significant analysis degree data discussed implications stable cluster exist relationships identify
#6 0.083 data used develop multiple approaches collection based research classes aspect single literature profiles means crowd collected trend accuracy databases accurate
#214 0.067 resource resources allocation chargeback manager effectiveness problem firms case gap allocating diverse dependence just bridge cooperative criticality acquisition duplication extent
#51 0.058 results study research experiment experiments influence implications conducted laboratory field different indicate impact effectiveness future participants evidence test controlled involving