scholarly journals Understanding decision makers’ perceptions of Chiang Mai city's transport problems an application of Causal Loop Diagram (CLD) methodology

2017 ◽  
Vol 25 ◽  
pp. 4438-4453 ◽  
Author(s):  
Jittrapirom Peraphan ◽  
Knoflacher Hermann ◽  
Mailer Markus
Keyword(s):  
Decision Makers ◽  
Causal Loop Diagram ◽  
Chiang Mai ◽  
Loop Diagram ◽  
Causal Loop ◽  
Transport Problems

MODEL STRUKTUR EKONOMI RUMAH TANGGA PETANI PADI DI KABUPATEN INDRMAYU, PROVINSI JAWA BARAT (Suatu Analisis Menggunakan Sistem Thinking)

2016 ◽  
Vol 1 (1) ◽  
pp. 071
Author(s):  
Ivonne Ayesha
Keyword(s):  
System Thinking ◽  
Causal Loop Diagram ◽  
Loop Diagram ◽  
Causal Loop

Tujuan penelitian ini adalah untuk membangun pemahaman (understanding) tentang fenomena ekonomi rumah tangga petani penggarap secara clear dan distinct, dan menyusun model ekonomi rumah tangga petani penggarap yang dapat menjelaskan faktor-faktor yang penentu dan interaksi variabel-variabel yang saling terkait. Penelitian ini bersifat kualitatif dengan jenis studi fenomenologi. Responden dalam penelitian ini adalah petani padi yang tidak punya lahan (penyakap) yang melakukan usahatani di Kabupaten Indramayu, Provinsi Jawa Barat, sebanyak 7 orang dengan lokasi yang berbeda, namun masih dalam kabupaten yang sama. Di samping itu, responden juga diambil dari perangkat desa, tokoh masyarakat, dan PPL. Responen ditetapkan secara sengaja (purposive), sesuai dengan kebutuhan penelitian ini. Data yang digunakan adalah data primer, sedangkan analisis data menggunakan cara berfikir sistem (system thinking). Hasil analisis data ditampilkan dalam bentuk diagram sebab akibat (causal loop diagram), dengan menggunakan program Vensim PLE. Hasil penelitian menyimpulkan: 1) Rumah tangga petani penyakap sebagai unit ekonomi terkecil yang memiliki sumber pemasukan dan pengeluaran rumah tangga, baik dari dan untuk memenuhi kebutuhan usahatani maupun non usahatani. Meskipun nilai penerimaan yang diperoleh sangat sedikit, namun petani penyakap tetap melaksanakan usahatani padi dari musim ke musim. Kekurangan uang dalam rumah tangga diatasi dengan melakukan pinjaman ke para pelepas uang (rentenir) dan tengkulak. Sedikit sekali petani yang memanfaatkan jasa keuangan formal dalam mengatasi masalah ekonomi rumah tangga. Pola hidup konsumtif sering menyebabkan petani terjebak dalam lingkaran hutang, dan 2) Model ekonomi rumah tangga petani penyakap yang disusun mengandung 2 lingkar sebab akibat positif dan satu lingkar sebab akibat negatif. Lingkar sebab akibat positif terdapat pada struktur pinjaman usahatani dan struktur pinjaman non usahatani. Lingkar sebab akibat negatif terdapat pada struktur pengeluaran. Model ini menunjukkan bahwa uang dalam rumah tangga bertambah dengan adanya pemasukan dan berkurang dengan adanya pengeluaran. Variabel pemasukan merupakan akumulasi dari penghasilan bersih, pinjaman usahatani dan pinjaman non usahatani. Variabel pengeluaran ditentukan oleh total pengeluaran rumah tangga. Total pengelaran rumah tangga merupakan akumulasi dari: pengeluaran usahatani, pengeluaran non usahatani, pembayaran iyuran desa, biaya sosial, konsumsi rumah tangga, dan pembayaran hutang non usahatani

Modelling environmental and economic sustainability of logistics

2019 ◽  
Vol 12 (1) ◽  
pp. 73-94
Author(s):  
Pragya Arya ◽  
Manoj Kumar Srivastava ◽  
Mahadeo P. Jaiswal
Keyword(s):  
System Dynamics ◽  
Economic Performance ◽  
Economic Sustainability ◽  
Causal Loop Diagram ◽  
Bottom Line ◽  
Data Set ◽  
Content Type ◽  
Loop Diagram ◽  
Causal Loop ◽  
Model Based

Purpose Research on sustainability has progressed from a singular focus on one aspect to a simultaneous focus on more than one aspect of the triple bottom line. However, there is a dearth of research that explains why sustainability-related decisions in business often do not bear the expected results. Research that provides managers with a tool to achieve environmental sustainability of logistics without compromising the economic sustainability is scarce. Hence, the purpose of this paper is to bridge the above gaps and to explore the factors that affect investment in technology to balance environmental and economic sustainability of logistics. A model based on system dynamics approach explains the simultaneous interplay of these factors. Simulating the model helps the managers of logistics function decide the size of investment in technology, to achieve environmental efficiency without negatively influencing the economic performance. Design/methodology/approach A model based on system dynamics approach explains the simultaneous interplay of these factors. Simulating the model helps the managers of logistics function decide the size of investment in technology, to achieve ecological efficiency without compromising with the economic performance. Findings Collaboration with regulatory authorities and with players within the same industry and across industries is a must so that eco-logistics does not become an economic burden for businesses. The decision to invest in technology for eco-logistics is further accentuated if the technology promises some added economic benefits. Research limitations/implications From a theoretical perspective, the research has added to the less extensive literature on system dynamics modelling, which is a mixed methodology, combining both qualitative and quantitative techniques. The research is also one of the few attempts that have attempted to simultaneously study more than one aspects of sustainability in business, quantitatively through simulation. Simulation was demonstrated through a single case study, Future works can aim to apply the causal loop diagram to firms in varied sectors. Practical implications The managers can use the causal loop diagram to assess the environmental performance of logistics and decide on appropriate level of investment to balance ecological and economic performance of logistics. Originality/value The causal loop diagram has been developed through primary data collection via semi-structured interviews. The results were validated by presenting them to respondents to ensure they represent their view points. The results are, therefore, practical and original. This research does not build upon an existing data set or aims to test the applicability of any existing model. The model for this research has been developed from the grass-roots level.

Analysis of crowd stampede risk mechanism

Kybernetes ◽  
2019 ◽  
Vol 48 (1) ◽  
pp. 124-142 ◽  
Author(s):  
Xie Kefan ◽  
Yu Song ◽  
Sishi Liu ◽  
Jia Liu
Keyword(s):  
Deep Level ◽  
Fundamental Solutions ◽  
Causal Loop Diagram ◽  
Content Type ◽  
Loop Diagram ◽  
Causal Loop ◽  
Critical Data ◽  
Systemic Analysis ◽  
Linkage Effect ◽  
A Chain

Purpose The purpose of this paper is to analyze the crowd stampede risk mechanism from the perspective of systems thinking. Design/methodology/approach Causal loop diagram is drawn to outline the non-linear interactions among complex factors across the whole system and dissect the contributory factors of crowd stampede accident. To systematically construct the theoretical framework and find fundamental solutions, co-word analysis with Citespace is used to get the critical data. An agent-based simulation using Pathfinder is conducted to develop a spatial model for the Shanghai Stampede Accident that happened in 2014. Findings The causal loop diagram is formed to not only illustrate the symptomatic solutions with a quick fix but also dissect the fundamental solutions through an underlying systemic analysis. The simulation shows that crowd stampede experiences an interactive process of accumulation, trigger, delay, break and diffusion of risk factors within the crowd system. A linkage effect among the multidimensional characters of individuals and the system accelerates the stampede risk deterioration. There exists delay of the result of effect from the deep-level measure. Practical implications A top-down approach is offered to policymakers for crowd stampede risk protocol design and synergic emergency control that may reduce the risk of the stampede. Originality/value In this study, SDFT paradigm is proposed as the critical solution for the crowd stampede accident. In addition, a chain effect of energy and a linkage effect within the crowd system is illustrated for in-depth understanding of crowd stampede risk.

Toward a Pattern Language for Eco-Business Design

2014 ◽  
Vol 8 (5) ◽  
pp. 706-715 ◽  
Author(s):  
Shinsuke Kondoh ◽  
◽  
Hitoshi Komoto ◽  
Yusuke Kishita ◽  
Nobuo Nakamura ◽  
...  
Keyword(s):  
Pattern Language ◽  
Causal Loop Diagram ◽  
Multiple Stakeholders ◽  
Loop Diagram ◽  
Causal Loop ◽  
Surrounding Environment ◽  
Business Cases ◽  
Key Features ◽  
Business Design

The objective of this study is to seek a pattern language in the domain of eco-business design. A pattern language is first proposed in the field of architecture. By using patterns as the basis for a shared agreement in a community, users and stakeholders in the community can design buildings and their surrounding environment in a cooperative manner. This paper first discusses key features of the language that enables a cooperative eco-business design among multiple stakeholders. It goes on to describe how to formulate the language by using a causal-loop diagram as well as rules that were established by analyzing 130 eco-business cases in Japan. A simplified case study is also provided to illustrate how to use the language.

Fight or flight: using causal loop diagram to investigate brain drain in developing countries

2010 ◽  
Vol 2 (3) ◽  
pp. 285 ◽  
Author(s):  
Hamid Reza Lashgarian Azad ◽  
Hadi Akbarzade Khorshidi ◽  
Seyed Hossein Hosseini ◽  
Saeed Mirzamohammadi
Keyword(s):  
Developing Countries ◽  
Brain Drain ◽  
Causal Loop Diagram ◽  
Loop Diagram ◽  
Causal Loop ◽  
Fight Or Flight

scholarly journals Strategic planning for MyRA performance: A causal loop diagram approach

2017 ◽  
Author(s):  
Norhaslinda Zainal Abidin ◽  
Nerda Zura Zaibidi ◽  
Khairah Nazurah Karim
Keyword(s):  
Strategic Planning ◽  
Causal Loop Diagram ◽  
Loop Diagram ◽  
Causal Loop ◽  
Diagram Approach

scholarly journals Modeling Fashion Retail Supply Chain through Causal Loop Diagram

2015 ◽  
Vol 48 (3) ◽  
pp. 1290-1295 ◽  
Author(s):  
Raffaele Iannone ◽  
Giada Martino ◽  
Salvatore Miranda ◽  
Stefano Riemma
Keyword(s):  
Supply Chain ◽  
Causal Loop Diagram ◽  
Loop Diagram ◽  
Causal Loop ◽  
Fashion Retail

scholarly journals Identifikasi Penyebab Hambatan Supply Chain Management PPDB Menggunakan Causal Loop Diagram

2020 ◽  
Vol 2 (1) ◽  
pp. 15-28
Author(s):  
Ahmad Irfangi ◽  
Fathul Aminudin Aziz ◽  
Wiwiek R. Adawiyah ◽  
Dwita Darmawati
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Causal Loop Diagram ◽  
Chain Management ◽  
Loop Diagram ◽  
Causal Loop ◽  
Dynamic Factors ◽  
Approach Method ◽  
The Impact ◽  
New Student

The research on supply chain management had been carried out in both manufacturing andservices companies. In practice, supply chain management also could be applied to the education sector.Several researches related to supply chain management had been carried out in universities, especially inthe process admitting new student. The research on new student admintance supply chain management(PPDB) in schools, especially private vocational schools has never been done. In practice, PPDB inprivate vocational school turn out to have challenges, restrictions and obstacles in the process.New ideas and strategies began to emerge about how strategic efforts to increase the number ofnew student. To solve these problems, it is necessary to pay attention and consider the inhibiting factorsand the causes of PPDB. The maaping of inhibiting factors and the causes of PPDB supply chainmanagement was done through a system approach method with a causal loop diagram (CLD) model thatemphasizes the impact of dynamic factors associated with cause and effect problems that effect theadmintance of the quantity of new student. The result obtained were in the form of causal loop diagram(CLD) model as strategic effort in accepting the quantity of new students.

scholarly journals ANALISIS SISTEM DINAMIK UNTUK EVALUASI PENCAPAIAN SWASEMBADA BERAS MELALUI PROGRAM UPAYA KHUSUS

2020 ◽  
Vol 29 (2) ◽  
pp. 95
Author(s):  
Agus Supriatna Somantri ◽  
Prima Luna ◽  
Idha Widi Arsanti ◽  
Budi Waryanto
Keyword(s):  
System Thinking ◽  
Causal Loop Diagram ◽  
Loop Diagram ◽  
Causal Loop

<p>Upaya Khusus (UPSUS) Padi merupakan kebijakan Kementerian Pertanian dalam upaya mencapai swasembada beras yang diimplementasikan sejak tahun 2015. Apakah kegiatan ini berhasil dan tepat? Analisis sitem dinamik digunakan sebagai alat evaluasi kegiatan UPSUS Padi dengan pendekatan system thinking. Penelitian ini bertujuan untuk mengevaluasi kebijakan UPSUS Padi sejak tahun 2015-2018 menggunakan sistem dinamik. Metodologi penelitian dibangun dengan membuat Causal Loop Diagram (CLD) utama sistem swasembada beras, subsistem yang mendukung swasembada beras, sistem permintaan, dan sistem pencapaian target swasembada beras. Model dinamik tersebut divalidasi, disimulasi, dan direformulasi. Hasil simulasi menunjukkan sistem dinamik dapat dijadikan alat evaluasi kebijakan program UPSUS Padi dengan hasil validasi model bernilai MAPE &lt; 5%, sehingga dapat menggambarkan kondisi sesungguhnya. Hasil simulasi model menunjukkan UPSUS Padi sukses meningkatkan produksi. Bilamana dalam lima tahun target peningkatan indeks pertanaman (IP) dan produktivitas tercapai, maka pada tahun 2022 akan terjadi puncak surplus beras sebesar 25 juta ton. Setelah itu produksi padi akan terus menurun jika hingga akhir tahun 2024 konversi lahan sawah tidak dibendung. Penerapan kebijakan UPSUS Padi perlu didukung oleh kebijakan penerapan mekanisasi untuk pra dan pascapanen, penyuluhan, revitalisasi penggilingan, diversifikasi pangan, dan penekanan konversi lahan. Hasil simulasi dengan memasukkan semua variabel tersebut menunjukkan Indonesia dalam lima tahun ke depan akan surplus 35 juta ton beras sehingga swasembada terus berlanjut.</p>

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