To see the other types of publications on this topic, follow the link: Total Interpretive Structural Modelling.
Dissertations / Theses on the topic 'Total Interpretive Structural Modelling'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 19 dissertations / theses for your research on the topic 'Total Interpretive Structural Modelling.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.
1
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.
Full textAbstract:
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.
2
Al-Muftah, Hamad M. "Toward Formulation a Maturity Framework for E-diplomacy." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/17318.
Full textAbstract:
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.
3
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.
Full textAbstract:
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.
4
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.
Full textAbstract:
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.
5
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.
Full textAbstract:
YesBlockchain 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.
6
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.
Full textAbstract:
YesThis 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.
7
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.
Full textAbstract:
YesElectronic 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.
8
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.
Full textAbstract:
YesThe 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.
9
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.
Full textAbstract:
yesCybersecurity 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
10
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.
Full textAbstract:
YesHaving 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.
11
Dwivedi, Y. K., M. Janssen, E. L. Slade, Nripendra P. Rana, Vishanth J. P. Weerakkody, J. Millard, J. Hidders, and D. Snijders. "Driving Innovation through Big Open Linked Data (BOLD): Exploring Antecedents using Interpretive Structural Modelling." 2016. http://hdl.handle.net/10454/11680.
Full textAbstract:
YesInnovation is vital to find new solutions to problems, increase quality, and improve profitability. Big open linked data (BOLD) is a fledgling and rapidly evolving field that creates new opportunities for innovation. However, none of the existing literature has yet considered the interrelationships between antecedents of innovation through BOLD. This research contributes to knowledge building through utilising interpretive structural modelling to organise nineteen factors linked to innovation using BOLD identified by experts in the field. The findings show that almost all the variables fall within the linkage cluster, thus having high driving and dependence powers, demonstrating the volatility of the process. It was also found that technical infrastructure, data quality, and external pressure form the fundamental foundations for innovation through BOLD. Deriving a framework to encourage and manage innovation through BOLD offers important theoretical and practical contributions.
12
Castro, Pedro Tomaz Leitão Cirne de. "Influence of Lean and Green on supply chain performance: an interpretive structural modelling model." Master's thesis, 2014. http://hdl.handle.net/10362/14202.
Full textAbstract:
This work aims to identify and rank a set of Lean and Green practices and supply chain
performance measures on which managers should focus to achieve competitiveness and
improve the performance of automotive supply chains. The identification of the contextual
relationships among the suggested practices and measures, was performed through literature review. Their ranking was done by interviews with professionals from the automotive industry and academics with wide knowledge on the subject. The methodology of interpretive structural modelling (ISM) is a useful methodology to identify inter relationships among Lean and Green
practices and supply chain performance measures and to support the evaluation of automotive supply chain performance. Using the ISM methodology, the variables under study were clustered according to their driving power and dependence power. The ISM methodology was proposed to be used in this work. The model intends to provide a better understanding of the variables that have more influence (driving variables), the others and those which are most influenced (dependent variables) by others. The information provided by this model is strategic for managers who can use it to identify which variables they should focus on in order to have competitive supply chains.
13
PAN, HSUAN-YU, and 潘宣宇. "Using Interpretive Structural Modelling for Analyzing the Success Key Factors of Medical Institutes in China." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/8ktc7b.
Full textAbstract:
博士逢甲大學
商學博士學位學程
105
With the rapid change of medical institution market in China, managers must make the right corresponding strategies quickly in this unprecedented highly competitive era. Therefore, this study is based on the concept of successful key factors to design and manage medical institutions and other related strategies. This research adopts the expert questionnaire design, taking the medical institution managers in China as the main research object to understand the key factors of the success of medical institutions in China through the questionnaire. The original design of the questionnaire contained 25 items in the first stage of this study. In the second stage, 13 questions from the first questionnaire are retained as the second questionnaire and an Interpretive Structural Modelling research analysis is performed. In this second stage, four out of five original dimensions remain are the external environment dimension, the business team concept and ability dimensions, the equipment planning product characteristics dimension, and the internal process dimension. This research can effectively help managers understand the interaction between the key factors in the success of medical institutes through further analysis of Interpretive Structural Modelling. It also can be a reference of decision-making in the management of medical industry in China.
14
Rana, Nripendra P., Y. K. Dwivedi, and D. L. Hughes. "Analysis of Challenges for Blockchain Adoption within the Indian Public Sector: An Interpretive Structural Modelling Approach." 2021. http://hdl.handle.net/10454/18327.
Full textAbstract:
YesPurpose – Blockchain is one of the most significant emerging technologies that is set to transform many aspects of industry and society. However, it has several major technical, social, legal, environmental and ethical complexities that offer significant challenges for mainstream use within the public sector. The Covid-19 pandemic has compelled many public sector employees to work remotely, highlighting a number of challenges to blockchain adoption within the Indian context signifying the pertinence of this research topic in the post-pandemic era. This study offers insight to researchers and policymakers alike on how such challenges are interdependent within this important subject. Design/methodology/approach – We explored 16 unique sets of challenges selected from the literature and gathered data from nine experts from government settings, healthcare and education sectors and academia who have significant knowledge and experience of blockchain implementation and use in their respective organisations. The implementation of Interpretive Structural Modelling (ISM) and MICMAC provided a precise set of driving, linkage and dependent challenges that were used to formulate the framework. Findings – The developed ISM framework is split into six different levels. The results suggest that the bottom level consists of challenges such as ‘Lack of standards (C9)’ and ‘Lack of validation (C10)’ form the foundation of the hierarchical structure of blockchain adoption. However, the topmost level consists of a highly dependent challenge termed ‘adoption of blockchain in the public sector (C16)’. The research filters the selected set of five challenges to develop a parsimonious model and formulated six propositions to examine the impact of ‘lack of standard (C9)’, ‘lack of validation (C10)’ on ‘security issues (C3)’ and ‘privacy concerns (C2)’, which eventually determine individuals’ ‘reluctance to use blockchain technology (C12)’. Originality/Value – This research fills a key gap in exiting research by exploring the key challenges in blockchain adoption within the public sector by developing a valuable framework to model this important topic. To the best of our knowledge, this is the first paper to address these challenges and develop a parsimonious model for challenges of blockchain adoption in the public sector settings.
15
Mishra, N., A. Singh, Nripendra P. Rana, and Y. K. Dwivedi. "Interpretive structural modelling and fuzzy MICMAC approaches for customer centric beef supply chain: application of a big data technique." 2017. http://hdl.handle.net/10454/18094.
Full textAbstract:
YesThe food retailers have to make their supply chains more customer-driven to sustain in modern competitive environment. It is essential for them to assimilate consumer’s perception to improve their market share. The firms usually utilise customer’s opinion in the form of structured data collected from various means such as conducting market survey, customer interviews and market research to explore the interrelationships among factors influencing consumer purchasing behaviour and associated supply chain. However, there is abundance of unstructured consumer’s opinion available on social media (Twitter). Usually, retailers struggle to employ unstructured data in above decision-making process. In this paper, firstly, by the help of literature and social media Big Data, factors influencing consumer’s beef purchasing decisions are identified. Thereafter, interrelationships between these factors are established using big data supplemented with ISM and Fuzzy MICMAC analysis. Factors are divided as per their dependence and driving power. The proposed frameworks enable to enforce decree on the intricacy of the factors. Finally, recommendations are prescribed. The proposed approach will assist retailers to design consumer centric supply chain.
Project ‘A cross country examination of supply chain barriers on market access for small and medium firms in India and UK’ (Ref no: PM130233) funded by British Academy, UK.
16
Janssen, M., S. Luthra, S. Mangla, Nripendra P. Rana, and Y. K. Dwivedi. "Challenges for adopting and implementing IoT in smart cities: An integrated MICMAC-ISM approach." 2019. http://hdl.handle.net/10454/18089.
Full textAbstract:
YesThe wider use of Internet of Things (IoT) makes it possible to create smart cities. The purpose of this paper is to identify key IoT challenges and understand the relationship between these challenges to support the development of smart cities. Design/methodology/approach: Challenges were identified using literature review, and prioritised and elaborated by experts. The contextual interactions between the identified challenges and their importance were determined using Interpretive Structural Modelling (ISM). To interrelate the identified challenges and promote IoT in the context of smart cities, the dynamics of interactions of these challenges were analysed using an integrated Matrice d’Impacts Croisés Multiplication Appliqués à un Classement (MICMAC)-ISM approach. MICMAC is a structured approach to categorise variables according to their driving power and dependence. Findings: Security and privacy, business models, data quality, scalability, complexity and governance were found to have strong driving power and so are key challenges to be addressed in sustainable cities projects. The main driving challenges are complexity and lack of IoT governance. IoT adoption and implementation should therefore focus on breaking down complexity in manageable parts, supported by a governance structure. Practical implications: This research can help smart city developers in addressing challenges in a phase-wise approach by first ensuring solid foundations and thereafter developing other aspects. Originality/value: A contribution originates from the integrated MICMAC-ISM approach. ISM is a technique used to identify contextual relationships among definite elements, whereas MICMAC facilitates the classification of challenges based on their driving and dependence power. The other contribution originates from creating an overview of challenges and theorising the contextual relationships and dependencies among the challenges.
17
Singh, N. K., G. P. Sahu, Nripendra P. Rana, P. P. Patil, and B. Gupta. "Critical success factors of the digital payment infrastructure for developing economies." 2018. http://hdl.handle.net/10454/18086.
Full textAbstract:
YesThis paper studies the Critical Success Factors’ (CSFs) for the adoption of Digital Payment System in India. There are few studies about the literature on CSFs for the adoption of the digital payment system in the Indian context. This study is an attempt to cover this gap. In this study, we reviewed the theories for adoption model at the individual level used in Information System (IS) and discussed four technology model including “Technology Acceptance Model” (TAM). Ten factors have been identified with extensive literature review and review of selected models namely; Perceived Ease of Use, Perceived functional benefits, Awareness, Availability of Resources, Government as a policy maker, Performance Expectancy, Social Influence, Price Value, Experience & Habit, and Risk-taking ability. An expert from academic industry has been taken as a reviewer or consultant of the selected variables. The CSFs may ensure that they are the predictors and the important factors for adoption of digital payments system in India. The study mainly uses the deductive approach to consider the primary and secondary sources of data. The analyses of these models take into account through Interpretive Structural Modeling (ISM) methodology and develop a model for effective adoption of Digital Payment System in India. The paper also makes future recommendations for further research studies.
18
Mangla, S. K., S. Luthra, N. Mishra, A. Singh, Nripendra P. Rana, M. Dora, and Y. K. Dwivedi. "Barriers to effective circular supply chain management in a developing country context." 2017. http://hdl.handle.net/10454/18069.
Full textAbstract:
YesCircular supply chain (CSC) emphasises surge in application of reuse, recycling, remanufacturing and thereby promotes transformation from linear to circular model of flow of products. Supply chains of manufacturing industries have become global over the years. Products manufactured in developing nations are being sent to developed nations for mass consumption. Developed nations have regulatory policies, technological knowhow and modern infrastructure to adopt CSC model. Their counterpart is trailing in these aspects. In literature, limited work has been performed on identifying challenges of implementing CSC in developing nations. Therefore, employing literature review and feedback received from experts, 16 important barriers were identified to CSC adoption in India. These barriers were analysed using integrated Interpretive Structural Modelling ? MICMAC approach. The findings will contribute in transforming supply chains thereby bringing economic prosperity, addressing global warming and generating employment opportunities. Finally, crucial policy measures and recommendations are proposed to assist managers and government bodies.
19
Sharma, S. K., B. Metri, Y. K. Dwivedi, and Nripendra P. Rana. "Challenges of common service centers (CSCs) in delivering e-government services to citizens in rural India." 2021. http://hdl.handle.net/10454/18294.
Full textAbstract:
YesMany developing countries across the world are allocating a significant share of their budgets for e-government initiatives. Common service centers (CSCs) are e-government initiatives that aim to increase access to public services and promote easy and direct interaction with the government. These e-government initiatives are largely underutilised, especially in rural areas in developing countries. This study attempts to identify the key challenges facing CSCs and determine their hierarchical relationships in the context of rural India. A set of 15 challenges was identified through a rigorous literature review and by surveying experts and CSC owners. Data were collected on the identified challenges and were analysed using interpretive structural modeling (ISM)-MICMAC-fuzzy MICMAC analysis. Subsequently, we developed a hierarchical model of challenges. The findings revealed that “longer travel time and transaction cost”, “low digital literacy”, and “low awareness” of e-government services are among the key challenges CSCs face in rural India. This study suggests several recommendations to all the stakeholders involved in the management of CSCs to improve the delivery of e-government services in rural India.
The full-text of this article will be released for public view at the end of the publisher embargo on 26 Jul 2022.