| Despite significant investments made by organizations to implement ERP systems and prior research that explored contributing factors of ERP failure, the ERP implementation success rate continues to remain low in practice. Increased technology usage in the workplace coupled with higher dependency on technology to complete project tasks often leads to technology overload that results in poor decision-making and decreased productivity. The purpose of this quantitative, non-experimental, correlational study was to investigate the degree to which perceptions of technology overload predict perceived ERP project success. A secondary purpose was to investigate whether worker productivity mediates and technology dependence moderates the perceived effect of technology overload on ERP project success. The sample size of 61 ERP project team members participated in a survey to ascertain their perceived levels of technology usage, technology dependence, productivity, and project success measurements. Results of hierarchical multiple linear regression for question 1 revealed that technology overload was not a significant predictor of ERP project success, R2 = .203, Adjusted R2 = .147, F(4, 56) = 3.57, p < .05, Technology Overload (beta = -.092, p = .474). Question 2 results revealed that worker productivity does not mediate the effects of technology overload on perceptions of ERP success evidenced by the non-significance of the predictor technology overload (beta = -.04, t = -.573, p = .569) complemented by the negative indirect effect size of -.1014, alpha = .95 of 1,000 bootstrap confidence interval samples. Question 3 results revealed that technology dependence does not moderate the effects of technology overload on perceptions of ERP success, R2 = .191, Adjusted R2 = .133, F(4, 56) = 3.30, p < .05, DeltaR2 = .008, DeltaF(1, 56) = .55, p = .46. While the results showed that, on average, ERP project members felt dependent upon technology and agreed that technology enhanced their productivity, they largely disagreed with perceiving overload from it where it negatively affected project success. Future researchers should investigate these findings and examine diverse characteristics such as different critical success factors, specific technology, and alternate project types to determine circumstances where technology usage and dependency significantly influence business results. |
