... dynamics ( SD ) model. Findings The authors simulate the domestic supply chain of a representative manufacturing company and derive resilience measures using the proposed framework. The simulation demonstrates, in a simplified example, how the framework can indicate opportunities to improve supply...

... that explicitly incorporates average temperature as a climatic driver to improve forecast accuracy and inform energy planning and policy. Design/methodology/approach This study develops a hybrid model combining a Seasonal Autoregressive Integrated Moving Average with Exogenous Variables and a Multilayer...

... as substitutes is a non-trivial task as it involves anticipating the substitution behaviour of customers. Substitution behaviour models currently used in quantitative production planning models for configurable products are either based on domain knowledge of experts, which makes them bias-prone, or they require...

... of decisions and apathy. The DARDEM method is an integration of unsupervised machine learning and mathematical modeling. This study aims to propose a dynamic proposed a dynamic distribution structure and developed a bi-objective mixed-integer linear program to make distribution decisions along with supplier...

...Xiaojie Xu; Yun Zhang Purpose This study aims to investigate dynamic relations among office property price indices of 10 major cities in China for the years 2005–2021. Design/methodology/approach Using monthly data, the authors adopt vector error correction modeling and the directed acyclic...

.../approach Total interpretive structural modelling (TISM) is used to find characteristics that assist in analyzing the readiness or preparedness level before initiating a change deployment process in start-ups. A cross-impact matrix multiplication applied to classification (MICMAC) analysis is performed...

... activities. Design/methodology/approach The combination of mathematical model and system dynamics is used to model the HMRS system. The model was tried on sanitiser bottle manufacturing to generalise the result. Findings The remanufacturing cost is higher because of reverse logistics, inspection...

... of the options and can provide effective suggestions for regulators and investors who hedge risks. Design/methodology/approach The MV-CAViaR model is an extended form of the vector autoregressive model (VAR) to the quantile model, and it is also a special form of the MVMQ-CAViaR model. Based on the VAR...

... for the implementation of “Smart Cities”. Particularly, this paper aims to analyse the contextual relationship and driving/dependence power of these key factors and model these using the total interpretive structural modelling (“TISM”) framework. Design/methodology/approach The key factors which form the basis...

...Amalia Suzianti; Fannisa Rahma Haqqi; Safira Nurul Fathia Purpose This study aims to purpose a strategy for Financial Technology (Fintech) service development to increase user adoption of Fintech services. Design/methodology/approach A conceptual model based on a risk-benefit approach...

... and affect the economy of the country. Design/methodology/approach The purpose of the study is analyze how perturbation in one sector can affect the system of interdependent sectors and it is done with interdependency analysis. It uses Wassily Leontief’s inoperability input-output model (IIM...

... 2021 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Planning Policy Modelling SMEs systems thinking factor analysis path analysis India Small and medium enterprises (SMEs) contribute significantly to the country’s economy (de...

...Zoltán Krajcsák Purpose The purpose of this paper is to model the nature of intra-group conflicts and to show how conflict process phases that are beneficial to the organization can be supported and how disadvantageous conflict process phases can be prevented or managed. Task (process...

...Tharun Thomas; Saleeshya P.G.; Suresh M. Purpose The purpose of this study is to develop a CMMI model for the manufacturing industry and to find an appropriate method to assess the CMMI level. The CMMI level indicates how well the processes are planned, performed, measured and controlled, thus...

... consumer’s mobile phone purchasing decisions has been taken from website analysis by several mobile phone manufacturers to achieve this objective. Then, interrelationships between the identified features have been established by using big data supplemented with interpretive structural modelling (ISM). Apart...

...Sushil Kr. Dixit; Hemraj Verma; Samant Shant Priya Purpose The purpose of this paper is to explore the motives of Indian firms for engaging with corporate social responsibility (CSR) practices and their interplay by using interpretive structural modelling methodology (ISM) and Matrice d’impacts...

...., 2017). Ali Dag can be contacted at: alidag@creighton.edu 30 09 2020 08 01 2021 02 03 2021 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Analytics Business analytics Data mining Decision-making Modelling...

... was used to model the performance of fixed and dynamic Kanban based production systems. SD approach has enabled the feedback mechanism and is an appropriate tool to incorporate the dynamic control during the simulation. Initially, a simple Kanban based production system was developed and then compared...

... The study adopts the total interpretive structural modelling approach to comprehend the interaction and transitivity between the enablers. Cross-impact multiplication matrix analysis was applied to rank the enablers and classify them on the basis of the driving and dependence power into dependent...

...Bryane Michael; Joseph Falzon; Ajay Shamdasani Purpose This paper aims to derive the conditions under which a financial services firm will want to hire a compliance services company and show how much money they should spend. Design/methodology/approach This paper uses a mathematical model...