The application of system thinking in solving complex problem: A case study of dengue transmission control policy

Abidin, Norhaslinda Zainal; Jaafar, Ibnu Affan; Alwi, Azatuliffah

doi:10.1063/1.5121080

Cited by 2 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The modelling and visualisation approach used in this study is based on causal loop diagramming solely to represent the causalities and interconnections between the identified variables and to simplify the complexities [40] that the HE system entails. Nevertheless, for future works, the causal loop diagrams can be converted into stock flow diagrams for quantitative simulation.…”

Section: Discussionmentioning

confidence: 99%

Factors Affecting University Choice Behaviour in the UK Higher Education

2020

View full text Add to dashboard Cite

Although regulations and established practices in academia have focused on a data-rich model of performance information, both to evidence operational capability and to support recruitment, it is considered that this approach has been largely ineffective in addressing student choice behaviour. Historical studies, business, psychology, and technology theories have pointed to the oversimplification that a data-led strategy can result in for mapping human behaviour. In this case, decision processes of students are understood to be nuanced by a vast range of factors with variable relevance for everyone. The effort of the study is to address how Systems Thinking, related policy development, and associated enabling techniques can be applied to the field to provide both a deeper understanding of the dictates of student behaviour and, by extension, the appropriate foci for data provision, enabling comparative business performance assessment of Higher Education Providers. This research has followed the Design Science Research (DSR) methodology; the developed model has been successfully evaluated against the understanding of education practitioners in an interview consultation process of the methodology. The analysis of interview feedback and the development and refinement of the proposed model generate the principle findings of the study. The model outlines the factors that might affect students’ choices in the UK Higher Education.

show abstract

Section: Discussionmentioning

confidence: 99%

Factors Affecting University Choice Behaviour in the UK Higher Education

2020

View full text Add to dashboard Cite

show abstract

“…Overall, system thinking aims to see how things are connected to each other and how they interact with the external environment. It is a holistic approach for solving a complex problem, which is hard to solve using a conventional approach Abidin et al, 2019). It is the process of understanding that every element is influential (Kefalas, 2011).…”

Section: Research Mapping Summarymentioning

confidence: 99%

Evaluating lean six sigma implementations in financial services using soft system methodology

Islamaj¹

View full text Add to dashboard Cite

This thesis explores Lean Six Sigma (LSS) implementations in financial services by using Soft System Methodology (SSM). Financial Services are among the top five contributors in world economies. They currently operate in a challenging market and are under tense pressure to innovate and stay competitive. By nature, financial services, are bound by time in terms of processes that lead to an outcome that benefits customers. To maintain the competitive advantage, they must minimize the operational inefficiencies by adopting the different qualitative initiatives. One of the most prominent initiatives applied in financial services last two decades is Lean Six Sigma. The research revealed the LSS is much appreciated in financial services. During empirical analysis, the researcher managed to bring forward the main stakeholders involved, reasons why LSS was triggered to start, and identified some of the issues associated with these projects. Among many tools, Kaizen events were considered the most efficient approach of LSS, whereas the improvement stage of the methodology was occasionally perceived as a daunting task. The participants involved in the primary research were from Banks, Fintech, and Shared Service Centers. They were representatives of financial services located primarily in Europe and Asia as well. The research provided a holistic view of LSS projects in financial services following the Soft System Methodology approach. Findings went beyond from general barriers mentioned in the literature. While the commitment from Top Management or other important stakeholders is the main reason for the success of LSS, the empirical research underpinned the exact areas where the commitment has mainly to come from. The study informs the practitioners that before starting the LSS project, they have to ensure full ownership in all D-M-A-I-C stages. This would come from commitment or a more flexible and agile mindset between the LSS project team and IT to implement the changes. Research findings move the LSS beyond the cliché of manufacturing reference. The research showed that the use of SSM as an interpretative approach for evaluating participants' perceptions in LSS projects was highly valuable. It also provided additional insights that practitioners can leverage SSM as a problem identification method in the future. Synergies between the soft system thinking principles of SSM in having a practical SSM standalone methodology or blended Soft Six Sigma, Soft Agile, and LSS Agile provided additional lenses for future academic and practitioner's researches.

show abstract

The application of system thinking in solving complex problem: A case study of dengue transmission control policy

Cited by 2 publications

References 7 publications

Factors Affecting University Choice Behaviour in the UK Higher Education

Factors Affecting University Choice Behaviour in the UK Higher Education

Evaluating lean six sigma implementations in financial services using soft system methodology

Contact Info

Product

Resources

About