Author List: Bala, Hillol; Venkatesh, Viswanath;
MIS Quarterly, 2013, Volume 37, Issue 4, Page 1113-A7.
Enterprise system implementations often create tension in organizations. On the one hand, these systems can provide significant operational and strategic benefits. On the other hand, implementation of these systems is risky and a source of major disruptions. In particular, employees experience significant changes in their work environment during an implementation. Although the relationship between ES implementations and employees' jobs has been noted in prior research, there is limited research on the nature, extent, determinants, and outcomes of changes in employees' job characteristics following an ES implementation. This paper develops and tests a model, termed the job characteristics change model (JCCM), that posits that employees will experience substantial changes in two job characteristics (i.e., job demands and job control) during the shakedown phase (i.e., immediately after the rollout) of an ES implementation. These changes are theorized to be predicted by work process characteristics, namely perceived process complexity, perceived process rigidity, and perceived process radicalness, that in turn will be influenced by technology characteristics (i.e., perceived technology complexity, perceived technology reconfigurability, and perceived technology customization). JCCM further posits that changes in job characteristics will influence employees' job satisfaction. Longitudinal field studies conducted in two organizations (N = 281 and 141 respectively) provided support for the model. The scientific and practical implications of the findings are discussed.
Keywords: business process; job characteristics; job control; job demands; latent growth modeling; process characteris; technology characteristics; work process
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#298 0.193 job employees satisfaction work role turnover employee organizations organizational information ambiguity characteristics personnel stress professionals conflict organization intention variables systems
#108 0.185 model research data results study using theoretical influence findings theory support implications test collected tested based empirical empirically context paper
#279 0.147 field work changes new years time change major period year end use past early century half traditional areas established strong
#4 0.115 characteristics experience systems study prior effective complexity deal reveals influenced companies type analyze having basis conducted determine complex comparative drive
#251 0.110 implementation erp enterprise systems resource planning outcomes support business associated understanding benefits implemented advice key implementing scope functional post-implementation implementations
#99 0.096 perceived usefulness acceptance use technology ease model usage tam study beliefs intention user intentions users behavioral perceptions determinants constructs studies
#69 0.068 process business reengineering processes bpr redesign paper research suggests provide past improvements manage enable organizations regarding focal cycle creating issues