Dr. Funke Oladimeji
instructor
Office: RITA 312
Phone: 843.953.2824
Email: oladimejioo@cofc.edu

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Curriculum Vitae

Research


Funke Oladimeji

- Research Interests-

I have research interests in performance measurement and system dynamics. Below are selected methodology from research projects. The software(s) that I use for modeling can be found on my home page.

1. Systematic Literature Reviews

Traditional literature reviews are known to evaluate existing or current research studies, identify research gaps, and help further advance the specific area of interest. However, the systematic literature review (SLR) presents a comprehensive study of the research area and organizes intellectual inquiries by using a rigorous, evidence-based review approach with the aim to collect as many existing publications related to the research question as possible based on a search strategy and pre-specified eligibility criteria. By evaluating the studies collected, researchers can extract, synthesize and analyze information to investigate relevant research questions. Therefore, the systematic review provides an advantage as it reduces bias and provides an improved understanding of the existing evidence in the research area. Further, the systematic review is more credible, as the approach is well-defined and transparent. To achieve the goal of a study, the scope of the SLR is defined. The following research questions can be defined to guide a study: a) How has the literature evolved over time? b) What is the current state of this research area? c) What are the key areas of future work that should be addressed to develop the maturity i.e., authorship (co-authorship networks), research design, publication characteristics, content characteristics, and impact characteristics) of the research area? The PRISMA standard of reporting shows how the papers were identified, screened and selected for a systematic literature review.

PRISMA standard of reporting.

Figure 1: An example of a PRISMA diagram (source: Oladimeji, O., Keathley-Herring, H.; Cross, J., (2020). System Dynamics Applications in Performance Measurement Research: A Systematic Literature Review. International Journal of Productivity and Performance Management).

2. Structural Equation Modeling

Structural Equation Modeling (SEM) has been proposed as an effective tool to help understand the structure and effect of the variables as it provides information to analyze and interpret linkages. SEM is a method developed from social sciences and is now applied by academic researchers and industry professional from diverse fields. SEM encompasses different modeling techniques including confirmatory factor analysis, latent growth curve modeling, non-recursive modeling, and path analysis among others.

SEM model.

Figure 2: An example of a path diagram (source: Oladimeji, O., Keathley-Herring, H.; Cross, J., (2019). Factors Affecting Performance Measurement Implementation: A SEM Analysis. In Proceedings of the Institute of Industrial & Systems Engineers Annual Conference & Expo. (pp. 1-6). Institute of Industrial & Systems Engineers (IISE)).

3. Analytic Network Process

The analytic network process (ANP) as developed by Saaty is for evaluating the multi-criteria decision model and then used to quantify the effects of the interdependencies between these factors. The ANP provides the opportunity to investigate the interdependencies in a dynamic environment as opposed to the linear structure that the analytic hierarchy process (AHP) provides. The ANP is also beneficial as it provides the interrelationships in a multi-criteria decision model, thereby providing the feedback in the network structure of the model.



ANP model.

Figure 3: An example of an ANP diagram (source: Ma, W., Schott, D., & Lodewijks, G. (2017). A New Procedure for Deep Sea Mining Tailings Disposal. Minerals, 7(4), 47. MDPI AG. Retrieved from http://dx.doi.org/10.3390/min7040047).

4. System Dynamics Approaches

Systems dynamics (SD) uses principles from the general systems theory approach and applies the systems thinking concepts through tools and techniques. SD tools and approaches are used for exploring the dynamic nature of systemic structures, some of which include: causal loop diagrams, stock-and-flow diagrams, and system archetype (behavior over time). Three of the SD tools and approaches identified (i.e., causal loop diagrams, stock-and-flow diagrams, and system archetypes) are used in my research

Causal model.

Figure 4: An example of a causal loop diagram (source: Oladimeji, O., Keathley-Herring, H.; Cross, J., (2019). Developing Causal Relationships for the Performance Measurement Implementation Process. In Proceedings of the International Annual Conference of the American Society for Engineering Management. (pp. 1-10). American Society for Engineering Management (ASEM)).




If you're interested in this research or might be interested in joining me in research, contact me and I'll be glad to talk to you about my ongoing research.

updated: 30 July 2021