Browsing by Author "Keathley, Heather R."

Now showing 1 - 2 of 2
  • Thumbnail Image
    Empirical Investigation of Factors that Affect the Successful Implementation of Performance Measurement Systems
    Keathley, Heather R. (Virginia Tech, 2016-09-29)
    Performance measurement (PM) systems are commonly known for both their potential to enable significant improvement in organizational performance and success as well as the difficulty of actually obtaining these results. A review of the literature suggests that most applications of PM systems prove to be less effective than the design suggests or, in some cases, may fail to be institutionalized. While there have been many recent advancements in this area, the focus from researchers has been primarily on the design and use of these systems. More recent research suggests that the problem with these systems may be the execution and implementation of the system rather than the design. In response, researchers have investigated both enablers and barriers (more generally referred to as success factors) for PM systems. They generally assert that being aware of these factors and attempting to mitigate their effects increases the likelihood of system success and enables practitioners to realize the full potential benefit from these systems. While significant research has been conducted in this area, review of the literature suggests that there is little consistency among the studies with no consensus among researchers concerning terminology or definitions of factors. Analysis of the published literature suggests that this area is at a relatively early stage of maturity with many significant opportunities for further advancement of the research area. In this work, the existing published literature was synthesized and a comprehensive set of 29 potential success factors was identified, along with corresponding definitions. In addition, five distinct dimensions of PM implementation success were identified from the literature synthesis. These literature review results were used to design a survey questionnaire to assess actual organizational practice in an empirical field study. An exploratory factor analysis was conducted to refine the constructs corresponding to potential success factors and implementation success outcomes. The resulting final variables were investigated using regression analysis to identify the factors most strongly associated with each dimension of implementation success.
  • Thumbnail Image
    Empirical Investigation of Lean Management and Lean Six Sigma Success in Local Government Organizations
    Al rezq, Mohammed Shjea (Virginia Tech, 2024-05-29)
    Lean Management and Lean Six Sigma (LM/LSS) are improvement methodologies that have been utilized to achieve better performance outcomes at organizational and operational levels. Although there has been evidence of breakthrough improvement across diverse organizational settings, LM/LSS remains an early-stage improvement methodology in public sector organizations, specifically within local government organizations (LGOs). Some LGOs have benefited from LM/LSS and reported significant improvements, such as reducing process time by up to 90% and increasing financial savings by up to 57%. While the success of LM/LSS can lead to satisfactory outcomes, the risk of failure can also result in a tremendous waste of financial and non-financial resources. Evidence from the literature indicates that the failure to achieve the expected outcomes is likely due to the lack of attention paid to critical success factors (CSFs) that are crucial for LM/LSS success. Furthermore, research in this research area regarding characterizing and statistically examining the CSFs associated with LM/LSS in such organizational settings has been limited. Hence, the aim of this research is to provide a comprehensive investigation of the success factors for LM/LSS in LGOs. The initial stage of this dissertation involved analyzing the scientific literature to identify and characterize the CSFs associated with LM/LSS in LGOs through a systematic literature review (SLR). This effort identified a total of 47 unique factors, which were grouped into 5 categories, including organization, process, workforce knowledge, communications, task design, and team design. The next stage of this investigation focused on identifying a more focused set of CSFs. This involved evaluating the strength of the effect (or importance) of the factors using two integrated approaches: meta-synthesis and expert assessment. This process concluded with a total of 29 factors being selected for the empirical field study. The final stage included designing and implementing an online survey questionnaire to solicit LGOs' experience on the presence of factors during the development and/or implementation of LM/LSS and their impact on social-technical system outcomes. Once the survey was concluded, an exploratory factor analysis (EFA) was conducted to identify the underlying latent variables, followed by using a partial least square-structural equation model (PLS-SEM) to determine the significance of the factors on outcomes. The EFA identified three endogenous and five exogenous latent variables. The results of the PLS-SEM model identified four significant positive relationships. Based on the results from the structural paths, the antecedent Improvement Readiness (IR) and Change Awareness (CA) were significant and had a positive influence on Transformation Success (TS). For the outcome Deployment Success (DS), Sustainable Improvement Infrastructure (SII) was the only significant exogenous variable and had the highest positive impact among all significant predictor constructs. Furthermore, Measurement-Based Improvement (MBI) was significant and positively influenced Improvement Project Success (IPS). Findings from this dissertation could serve as a foundation for researchers looking to further advance the maturity of this research area based on the evidence presented in this work. Additionally, this work could be used as guidelines for practitioners in developing implementation processes by considering the essential factors to maximize the success of LM/LSS implementation. Given the diversity of functional areas and processes within LGO contexts, it is also possible that other public sector organizations could benefit from these findings.