Academic literature on the topic 'Total Interpretive Structural Modelling'

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Journal articles on the topic "Total Interpretive Structural Modelling"

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Dhir, Sanjay, Rashi Taggar, Sunali Bindra, and Deepika Sharma. "Retailer responsiveness: a total interpretive structural modelling approach." J. for Global Business Advancement 13, no. 3 (2020): 336. http://dx.doi.org/10.1504/jgba.2020.10033253.

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Sharma, Deepika, Rashi Taggar, Sunali Bindra, and Sanjay Dhir. "Retailer responsiveness: a total interpretive structural modelling approach." J. for Global Business Advancement 13, no. 3 (2020): 336. http://dx.doi.org/10.1504/jgba.2020.111014.

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., Ambikadevi Amma T. "TOTAL INTERPRETIVE STRUCTURAL MODELLING ON ENABLERS OF CLOUD COMPUTING." International Journal of Research in Engineering and Technology 03, no. 06 (June 25, 2014): 398–406. http://dx.doi.org/10.15623/ijret.2014.0306074.

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Dubey, Rameshwar, Angappa Gunasekaran, and Tripti Singh. "Building theory of sustainable manufacturing using total interpretive structural modelling." International Journal of Systems Science: Operations & Logistics 2, no. 4 (March 31, 2015): 231–47. http://dx.doi.org/10.1080/23302674.2015.1025890.

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Kaur, Irameet, and Charu Shri. "Total Interpretive Structural Modeling of Emotional Intelligence at Workplace." International Journal of Applied Management Sciences and Engineering 2, no. 2 (July 2015): 1–19. http://dx.doi.org/10.4018/ijamse.2015070101.

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In today's competitive scenario, the increasing work stress and responsibilities demand efficient management of emotions while dealing with others at workplace. The concept of emotional intelligence (EI) of employees is hence gaining critical importance in maintaining effective workplace relationships and increased performance. To gain a deeper insight about the concept of EI, it becomes important to understand the major variables that influence it and their mutual interplay for enhancement of employee EI. Based on literature inputs and expert views, eight most important variables influencing emotional intelligence have been identified and a hierarchical model has been developed. The approach of TISM (Total Interpretive Structural Modelling) has been used to conceptualize the model which provides a practical structure of variables of emotional intelligence that can aid in decision making processes for performance management. The paper is a significant leap towards understanding the strategic structure of emotional intelligence of employees at workplace.
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Mehra, Ritika, and Pooja Gupta. "Total Interpretive Structural Modelling of Machine learning Enablers in the Healthcare System." International Journal of Applied Decision Sciences 1, no. 1 (2022): 1. http://dx.doi.org/10.1504/ijads.2022.10038271.

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Mahajan, Ritika, Rajat Agrawal, Vinay Sharma, and Vinay Nangia. "Analysis of challenges for management education in India using total interpretive structural modelling." Quality Assurance in Education 24, no. 1 (February 1, 2016): 95–122. http://dx.doi.org/10.1108/qae-07-2013-0030.

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Purpose – The purpose of this paper is to identify challenges for management education in India and explain their nature, significance and interrelations using total interpretive structural modelling (TISM), an innovative version of Warfield’s interpretive structural modelling (ISM). Design/methodology/approach – The challenges have been drawn from literature and validated by an empirical study conducted through questionnaires administered electronically and personally to 250 management graduates. TISM has been applied to 14 finalised factors. Findings – All the identified factors, except accreditation, were found to be important. Ineffective regulatory bodies and ineffective leadership emerged as the biggest roadblocks. Several significant interrelations were found which were sometimes not revealed by plain observation. Originality/value – The existing literature has discussed the challenges for management education but not their interrelations. This paper uses TISM to demonstrate the relationships between different challenges and to explain the logic behind the relationships. The results would be useful for the owners (or managers) of management institutes faced with the same challenges.
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Talib, Faisal, Zillur Rahman, and M. N. Qureshi. "An interpretive structural modelling approach for modelling the practices of total quality management in service sector." International Journal of Modelling in Operations Management 1, no. 3 (2011): 223. http://dx.doi.org/10.1504/ijmom.2011.039528.

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Obi, Lovelin, Paul Hampton, and Bankole Awuzie. "Total Interpretive Structural Modelling of Graduate Employability Skills for the Built Environment Sector." Education Sciences 10, no. 12 (December 8, 2020): 369. http://dx.doi.org/10.3390/educsci10120369.

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Contemporary practices and future projections in the Built Environment (BE) sector highlight an increasing demand on Higher Education Institutions (HEIs) to produce graduates possessing relevant skills aligned to meet workplace demands. This study aims to analyse the key skills influencing BE graduate employability in the United Kingdom (UK) for the benefit of HEIs. This investigation leverages on a critical review of extant literature and an elicitation of the perceptions of targeted macro, meso, and micro level key stakeholders in the BE sector to identify key employability skills. The Total Interpretive Structural Modelling (TISM) technique was used to analyse the contextual interrelationships among the identified skills to develop a hierarchical model that provides HEI with insight for BE curriculum development. Six key employability skillsets hierarchically modelled into four levels were identified as crucial for potential graduates to successfully attract and adapt to contemporary practices in the Built Environment sector. Findings reveal communication and team-working skills as critical, independent skills driving the successful development of the remaining four skillsets. This research extends the literature on employability skills by investigating the interactions of various skills that predominantly predicts graduate employability in the Built Environment sector. The resulting TISM skills model provides hierarchical and logical interdependencies beneficial to assist HEIs to strategically design BE curricular to enhance graduate employability.
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Kumar, Sanjay, Vasdev Malhotra, and Vikas Kumar. "A framework to enhance cellular manufacturing system: a total interpretive structural modelling approach." International Journal of Process Management and Benchmarking 8, no. 4 (2018): 393. http://dx.doi.org/10.1504/ijpmb.2018.095052.

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Dissertations / Theses on the topic "Total Interpretive Structural Modelling"

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Lawrie, Peter Richard. "Development of computer software support for interpretive structural modelling." Master's thesis, University of Cape Town, 1995. http://hdl.handle.net/11427/15980.

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Includes bibliographical references.
Interpretive Structural Modelling is a computer-driven method for dealing with complexity, by allowing individuals or groups to interpret the inter-relationships between different aspects or elements of a problem. In doing this interpretation, the elements are structured, and from this structuring, a graphical model is produced, allowing the modeller(s) to better understand the problem. The main contribution of this thesis was to develop a computer package for Interpretive Structural Modelling (ISM), for use at the School of Engineering Management at the University of Cape Town. The package was developed for the IBM PC.
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Al-Muftah, Hamad M. "Toward Formulation a Maturity Framework for E-diplomacy." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/17318.

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Digital diplomacy (e-Diplomacy), is commonly defined as the use of information and communication technology for the purposes of attaining foreign policy goals. The emerging field of digital diplomacy has been largely neglected in academic research. Also, in practice, this area has been slow to evolve compared to other areas of public service such as e-government, e-education and e-health. This research draws on the existing literature to present a novel conceptual framework that could be used to guide the implementation of e-diplomacy. A new e-diplomacy maturity framework is formulated to address the modern functions of foreign relations in today’s global environment. The e-diplomacy maturity framework is derived from the theory of growth models, the e-government maturity model, the broader literature on diplomacy and the practice of diplomacy. To validate the conceptual framework, a qualitative approach involving semi-structured interviews with diplomats and professionals from the foreign ministries of the USA, the UK and Qatar were conducted. The novelty of this research is based on the development of a conceptual framework of e-diplomacy maturity and implementation that was built around the scaffolding of conjectures that were tested to determine their validity. It can guide research scholars wishing to explore the discipline of digital diplomacy. It will also assist foreign ministries to identify the stage they have reached in deploying ICT in their diplomatic functions. This study should also provide policy makers, diplomats, ICT managers, and practitioners with a greater understanding of the stages and factors that encourage or hinder e-diplomacy implementation and maturity.
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Ramos, Edgar, Timothy J. Pettit, Mamun Habib, and Melissa Chavez. "A model ISM-MICMAC for managing risk in agri-food supply chain: An investigation from the Andean region of Peru." Inderscience Publishers, 2021. http://hdl.handle.net/10757/656006.

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During recent years, supply chain risks have gained importance in the food supply chain. This study presents a methodology to analyse the risk in the agri-food supply chain belonging to the Andean region in Peru. It utilises the interpretive structural modelling (ISM) with matrice d' impacts croises multiplication appliqué an classement (cross-impact matrix multiplication applied to classification, abbreviated as MICMAC) to identify and understand relationships between risk types. Based on the empirical data collected from the food industry experts, ten risk factors were identified as relevant. Finally, the identified risks were classified using ISM-MICMAC methodology. The research findings demonstrated that natural disaster, environmental, and legal risks were the most substantial. The findings highlight that selected methods are capable of recognising the most substantial risks that are most critical to assess, manage with adequate mitigation actions from the practitioners in the agri-food industry.
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Al-Kuwari, Wasmiya Dalhem M. D. "Information management within the Nursing Department at Hamad Medical Corporation (HMC), Qatar." Thesis, Loughborough University, 2005. https://dspace.lboro.ac.uk/2134/7811.

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Hamad Medical Corporation, the main healthcare provider in the state of Qatar, sponsored this study to investigate the use of electronic records management as the basis for a novel information management system in its Nursing Department. To assess the viability of an electronic records management system a questionnaire survey of a representative sample of the staff and interviews with key post holders were under taken. Results obtained indicated a wide spread dissatisfaction with the existing manual system. However, introduction of any computer-based technology requires great care. To assist with identifying any issues with this technological change, Soft System Methodology (SSM) was employed to discern what changes could be made to improve the current problematic situation found in the Nursing Department. In fact the change archetypes uncovered (procedural, attitudinal, structural and cultural) formed an innovative input into obtaining a roadmap for development of the electronic staff records system. This roadmap was facilitated by the use of Nominal Group Technique (NGT) and Interpretive Structural Modelling (ISM): In fact the roadmap was an ISM intent structure. The roadmap suggested that change could be affected by having written policy documents and the top goal to be achieved reflected an improvement in manpower placing and budgetary forecasts. The use of a multi-methods approach meant that as well as this study's main objectives being reached, the process encompassed some methodological innovations. This study is the first to use the output of SSM to facilitate the NGT and ISM interactions. Equally, it is the first study of its sort to be applied to the Nursing Department at HMC, Qatar, which is an example of a cross-cultural eastern philosophical tradition. The methods used here revealed some significant findings, and have helped in the development of an electronic records management system for use at HMC, Qatar.
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Mathivathanan, D., K. Mathiyazhagan, Nripendra P. Rana, S. Khorana, and Y. K. Dwivedi. "Barriers to the adoption of blockchain technology in business supply chains: a total interpretive structural modelling (TISM) approach." 2020. http://hdl.handle.net/10454/18202.

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Blockchain is an emerging technology with a wide array of potential applications. This technology, which underpins cryptocurrency, provides an immutable, decentralised, and transparent distributed database of digital assets for use by firms in supply chains. However, not all firms are appropriately suited to adopt blockchain in the existing supply chain primarily due to their lack of knowledge on the benefits of this technology. Using Total Interpretive Structural Modelling (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC), this paper identifies the adoption barriers, examines the interrelationships between them to the adoption of blockchain technology, which has the potential to revolutionise supply chains. The TISM technique supports developing a contextual relationship based structural model to identify the influential barriers. MICMAC classifies the barriers in blockchain adoption based on their strength and dependence. The results of this research indicate that the lack of business awareness and familiarity with blockchain technology on what it can deliver for future supply chains, are the most influential barriers that impede blockchain adoption. These barriers hinder and impact businesses decision to establish a blockchain-enabled supply chain and that other barriers act as secondary and linked variables in the adoption process.
The full-text of this article will be released for public view at the end of the publisher embargo on 13 Jan 2022.
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Hughes, D. L., Nripendra P. Rana, and Y. K. Dwivedi. "Elucidation of IS project success factors: an interpretive structural modelling approach." 2019. http://hdl.handle.net/10454/18099.

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This study extends the debate surrounding the components of IS project success by reviewing success factors from the perspective of their interdependency and influence on each other. This research utilises interpretive structural modelling as the methodology and framework to develop the relationships between the selected factors. This approach is presented as a mechanism that can provide greater insight to the underlying causal interrelationships associated with IS project success and the successful transition to operations. The findings identify a number of key outcomes that have significant driving influence on other interconnected factors in the final model. This study highlights the benefits of an interpretive approach where IS factor interrelationships can be modelled to demonstrate potential influence on other connected factors thereby, increasing the chances of project success.
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Al-Muftah, H., Vishanth J. P. Weerakkody, Nripendra P. Rana, Uthayasankar Sivarajah, and Zahir Irani. "Factors influencing e-diplomacy implementation: Exploring causal relationships using interpretive structural modelling." 2018. http://hdl.handle.net/10454/15340.

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Electronic diplomacy (E-diplomacy) is the use of technology by nations to define and establish diplomatic goals and objectives and to efficiently carry out the functions of diplomats. These functions include representation and promotion of the home nation, establishing both bilateral and multilateral relations, consular services and social engagement. It encapsulates the adoption of multiple ICT tools over the Internet to support a nation’s interests in other countries while ensuring that foreign relations are improved between the countries. Given its embryonic nature, little scholarly research has been undertaken to study its influence on diplomatic functions and the various factors that influence its implementation. This paper applies the Interpretative Structural Modelling (ISM) methodological approach to identify factors that impact the implementation of e-diplomacy and to determine their causal relationship and rankings. This study applies the ISM methodology to the subject of e-diplomacy. The ISM-based model provides a framework for practitioners to aid decision-making and manage the implementation of e-diplomacy.
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Hughes, D. L., Y. K. Dwivedi, Nripendra P. Rana, and A. C. Simintiras. "Information systems project failure – analysis of causal links using interpretive structural modelling." 2016. http://hdl.handle.net/10454/18079.

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The analysis of the root causes of information systems project failure has been the subject of intense scrutiny for some time within industry and the academic community. Researchers have developed various models, notions of failure and categorisations to succinctly classify project failure into a set of key factors for organisations and project managers to focus on in their attempts to avoid failure. This study incorporates a technique titled: interpretive structural modelling as the methodology to formalise the relationships between the selected failure factors. This approach is positioned as a mechanism that can yield greater insights into the relationships between the factors surrounding project failure, thereby developing a better understanding of how these relationships can have a bearing on project outcomes. The findings identify key driving variables that are presented as having significant impact on the other factors within the model. A number of variables are also identified as being heavily dependent on other connected factors highlighting that a failure in one or more of these connected factors is likely to result in a failure in one or more of the dependent factors unless timely steps are taken to address these key issues. This research details a number of practical implications for senior management and project managers as well as the academic community. These considerations form an underlying thread within this study as specific practice-related implications are highlighted and discussed throughout the study.
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Rajan, R., Nripendra P. Rana, N. Parameswar, S. Dhir, Sushil, and Y. K. Dwivedi. "Developing a modified total interpretive structural model (M-TISM) for organizational strategic cybersecurity management." 2021. http://hdl.handle.net/10454/18482.

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Cybersecurity is a serious issue that many organizations face these days. Therefore, cybersecurity management is very important for any organization. Organizations should learn to deal with these cyber threats through effective management across all business functions. The main purpose of this study is to identify the factors that affect cybersecurity within an organization and analyze relationships among these factors. The modified total interpretive structural modeling (M-TISM) technique is used to build a hierarchical model and define the common interactions between the factors. This study presents the impact of collaboration, training, resources and capabilities, information flow, technology awareness, and technological infrastructure on effective cybersecurity management. In addition, the study also explains the interrelationships among the identified factors in the M-TISM model.
The full text will be available at the end of the publisher's embargo: 20th July 2022
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Janssen, M., Nripendra P. Rana, E. L. Slade, and Y. K. Dwivedi. "Trustworthiness of digital government services: deriving a comprehensive theory through interpretive structural modelling." 2017. http://hdl.handle.net/10454/18091.

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Having its origin in public administration, trustworthiness is a significant concept in digital government research, influencing the relationships between citizens and governments. However, the interrelationships between the facets of trustworthiness are given inadequate attention. Therefore, the aim of this research was to develop a theory detailing the factors affecting citizens’ perceptions of e-government trustworthiness. A comprehensive review of public administration and information systems literature highlighted 20 pertinent variables. The interrelationships of these variables were identified and categorized according to their driving and dependence power by employing interpretive structural modelling. The proposed model was then drawn based on the level partitioning of variables and interrelationships of the variables determined using the final reachability matrix. The findings reveal that current conceptualizations of digital government trustworthiness take a too narrow view. The findings can help government policy makers with understanding the interrelated factors associated with trustworthiness in the context of digital government services and implement them in effective strategic planning.
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Book chapters on the topic "Total Interpretive Structural Modelling"

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Menon, Shalini, and M. Suresh. "Total Interpretive Structural Modelling: Evolution and Applications." In Innovative Data Communication Technologies and Application, 257–65. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38040-3_30.

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Akriti Jain, Ruchi Sharma, and P. Vigneswara Ilavarasan. "Total Interpretive Structural Modelling of Innovation Measurement for Indian Universities and Higher Academic Technical Institutions." In Flexible Systems Management, 29–53. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4888-3_3.

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Khurana, Sonal, Bisma Mannan, and Abid Haleem. "Total Interpretive Structural Modelling of Critical Factors of Sustainable-Oriented Innovation for Indian Manufacturing MSMEs." In Lecture Notes in Mechanical Engineering, 95–106. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1071-7_9.

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Thakkar, Jitesh J. "Interpretive Structural Modelling (ISM)." In Multi-Criteria Decision Making, 311–24. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4745-8_18.

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Bai, Ming, and Xu Ren. "Interpretive Structural Modelling of Factors Influencing Enterprise Transformation." In IEIS2019, 745–57. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5660-9_56.

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Ranaei Kordshouli, Habib Allah, Moslem Alimohammadlou, Ghasem Salimi, and Seyed Moslem Alavi. "Third-Generation University Governance Model Using Total Interpretive Structural Modeling." In Global Encyclopedia of Public Administration, Public Policy, and Governance, 1–12. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-31816-5_4221-1.

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Suresh, M., D. Sangeetha, and Sumathi Kumaraswamy. "Modelling of Factors Influencing Saving Behaviour of Women in India: An Interpretive Structural Modelling." In Springer Proceedings in Materials, 809–18. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8319-3_81.

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Kim, Ikno, and Junzo Watada. "Towards a New Medical Decision Support System with Bio-inspired Interpretive Structural Modelling." In Studies in Computational Intelligence, 459–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00909-9_44.

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Vinodh, S., and Rohit Agrawal. "Application of Interpretive Structural Modelling for analysis of factors influencing Sustainability in Higher Education." In Higher Education and Sustainability, 117–31. Boca Raton, FL : Taylor & Francis Group, 2020.: CRC Press, 2019. http://dx.doi.org/10.1201/b22452-6.

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Bahari, Mahadi, Tiara Izrinda Jafni, Waidah Ismail, Haslina Hashim, and Hafez Hussain. "Analysis of the Readiness for Healthcare Personnel Adopting Telerehabilitation: An Interpretive Structural Modelling (ISM) Approach." In Information Systems, 353–68. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11395-7_28.

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Conference papers on the topic "Total Interpretive Structural Modelling"

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Tyagi, Sanjay K., Sujeet K. Sharma, and Vinod Kumar Shukla. "Interpretive Structural Modelling Using Fuzzy Linguistic Information." In 2019 4th International Conference on Information Systems and Computer Networks (ISCON). IEEE, 2019. http://dx.doi.org/10.1109/iscon47742.2019.9036267.

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Singh, Rajbala, Deepak Kumar, and B. B. Sagar. "Interpretive structural modelling in assessment of agile methodology." In 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS). IEEE, 2017. http://dx.doi.org/10.1109/ictus.2017.8286055.

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Bisht, Marut, Mohammed Shahid Irshad, Niyati Aggarwal, and Adarsh Anand. "Understanding Popularity Dynamics for YouTube Videos: An Interpretive Structural Modelling based Approach." In 2019 Amity International Conference on Artificial Intelligence (AICAI). IEEE, 2019. http://dx.doi.org/10.1109/aicai.2019.8701274.

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Tuan, Nien-Tsu, Ian Jay, and Mark Massyn. "Modelling the Factors Impacting the Sustainability of South Africa's Construction Industry – An Interpretive Structural Modelling Approach." In International Conference on Engineering, Project, and Production Management. Association of Engineering, Project, and Production Management, 2014. http://dx.doi.org/10.32738/ceppm.201411.0031.

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Pundir, Ashok Kumar, L. Ganapathy, Pratik Maheshwari, and Shashikant Thakur. "Interpretive Structural Modelling to assess the enablers of blockchain technology in supply chain." In 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). IEEE, 2020. http://dx.doi.org/10.1109/iemcon51383.2020.9284828.

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Abinaya, R., and M. Suresh. "Analyzing the drivers for lean practices of commercial banking using interpretive structural modelling." In 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2016. http://dx.doi.org/10.1109/iccic.2016.7919632.

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Goel, Pawan, Jayakrishna Kandasamy, Logesh G., Vijayakumar Manupati, and Vimal Kek. "Modelling Sustainable Manufacturing practices for plastic part manufacturing organization using Interpretive Structural Modeling." In 2018 International Conference on Production and Operations Management Society (POMS). IEEE, 2018. http://dx.doi.org/10.1109/poms.2018.8629442.

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Feifei Wu and Lucheng Huang. "Approaches on evaluating industrialization potentiality of Olympic technology projects based on interpretive structural modelling." In Technology (ICMIT 2008). IEEE, 2008. http://dx.doi.org/10.1109/icmit.2008.4654342.

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Sharma, Bhupendra Prakash, Akshat Jain, and Harshit Ahuja. "Modelling of agile manufacturing barriers in the Indian engineering industries: An interpretive structural modeling approach." In 2017 International Conference on Advances in Mechanical, Industrial, Automation and Management Systems (AMIAMS). IEEE, 2017. http://dx.doi.org/10.1109/amiams.2017.8069180.

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Prakash, Surya, Maheshwar Dwivedy, Sameer Sharma Poudel, and Dilesh Raj Shrestha. "Modelling the barriers for mass adoption of electric vehicles in Indian automotive sector: An Interpretive Structural Modeling (ISM) approach." In 2018 5th International Conference on Industrial Engineering and Applications (ICIEA). IEEE, 2018. http://dx.doi.org/10.1109/iea.2018.8387144.

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Reports on the topic "Total Interpretive Structural Modelling"

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de Kemp, E. A., and K. B. Sprague. New interpretive tools for three-dimensional structural geological modelling: Bézier-based curves, ribbons, and skeletons. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2001. http://dx.doi.org/10.4095/212176.

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