Journal articles: '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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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.2018.10014536.

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Yeravdekar, Amay, and Abhishek Behl. "The unprecedented commercialisation of Indian cricket: a study using total interpretive structural modelling." International Journal of Services and Operations Management 31, no. 3 (2018): 277. http://dx.doi.org/10.1504/ijsom.2018.10016549.

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Yeravdekar, Amay, and Abhishek Behl. "The unprecedented commercialisation of Indian cricket: a study using total interpretive structural modelling." International Journal of Services and Operations Management 31, no. 3 (2018): 277. http://dx.doi.org/10.1504/ijsom.2018.095558.

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Singh, Manjinder, Anish Sachdeva, and Arvind Bhardwaj. "An interpretive structural modelling approach for analysing barriers in total productive maintenance implementation." International Journal of Industrial and Systems Engineering 16, no. 4 (2014): 433. http://dx.doi.org/10.1504/ijise.2014.060653.

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Bag, Surajit. "Identification of Green Procurement Drivers and Their Interrelationship Using Total Interpretive Structural Modelling." Vision: The Journal of Business Perspective 21, no. 2 (May 15, 2017): 129–42. http://dx.doi.org/10.1177/0972262917700990.

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Sharma, Meenakshi, Prakash Tiwari, and D. S. Chaubey. "Summarizing Factors of Customer Experience and Building a Structural Model Using Total Interpretive Structural Modelling Technology." Global Business Review 17, no. 3 (May 22, 2016): 730–41. http://dx.doi.org/10.1177/0972150916630825.

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Yadav, Neetu. "Total interpretive structural modelling (TISM) of strategic performance management for Indian telecom service providers." International Journal of Productivity and Performance Management 63, no. 4 (April 8, 2014): 421–45. http://dx.doi.org/10.1108/ijppm-04-2013-0081.

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Bag, Surajit. "Green strategy, supplier relationship building and supply chain performance: total interpretive structural modelling approach." International Journal of Procurement Management 9, no. 4 (2016): 398. http://dx.doi.org/10.1504/ijpm.2016.077702.

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Mehta, Namish, Prakash Verma, and Nitin Seth. "Total quality management implementation in engineering education in India: an interpretive structural modelling approach." Total Quality Management & Business Excellence 25, no. 1-2 (May 31, 2013): 124–40. http://dx.doi.org/10.1080/14783363.2013.791113.

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Sehgal, Nidhi, and Saboohi Nasim. "Total Interpretive Structural Modelling of predictors for graduate employability for the information technology sector." Higher Education, Skills and Work-Based Learning 8, no. 4 (November 12, 2018): 495–510. http://dx.doi.org/10.1108/heswbl-08-2017-0047.

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Purpose The purpose of this paper is to present a qualitative analysis of the significant factors that influence graduate employability in information technology (IT) sector. This is imperative, given the rising “employability gap” confronted by this sector, especially in context of India. The key factors that influence graduate employability have been drawn from the literature. This research paper aims to conduct a preliminary validation of these predictors of employability and analyse the contextual relationship between them through Total Interpretive Structural Modelling (TISM) technique (Nasim, 2011; Sushil, 2012). This technique is an innovative version of Interpretive Structural Modelling proposed by Warfield (1973). Design/methodology/approach The antecedents of graduate employability have been identified through qualitative analysis of available literature. Further, TISM has been used to derive a structural model and analyse the contextual relationship among these identified antecedents. The structural model has been derived through in-depth interviews with experts that include senior middle management professionals from reputed IT companies in India. The developed TISM model has been further validated through assessment surveys with a larger set of domain experts to enhance the credibility of the obtained results. Findings Based on the data collected from the domain experts, eight elements including employability and its seven antecedents were hierarchically modelled into four levels. While all the seven identified factors were endorsed by the industry experts as the drivers of employability, some of the key factors affecting employability emerged to be technical specialties knowledge, technology management skills and communication skills. Furthermore, the developed model has been subsequently validated and accepted based on the results of the assessment surveys conducted with a larger set of domain experts. Research limitations/implications The findings are expected to help the graduates seeking jobs in IT and allied sectors and the higher education institutions (HEIs) offering academic programmes in this domain. These findings would enable the graduates to understand the significance of the different knowledge/skill areas that influence their employability and increase the chances of securing job. Also, the HEIs can comprehend the developed model to understand the demands of the employers, the rationale behind it and further align their course curriculum/teaching methodologies in sync with their expectations. The developed model should be put to empirical validation for greater reliability. Originality/value The qualitative analysis of the antecedents of graduate employability using TISM technique is an original methodological contribution to the field. Though the TISM technique has been used in research studies across different sectors like e-government (Nasim, 2011), higher education (Prasad and Suri, 2011) and flexible manufacturing systems (Dubey and Ali, 2014), the application of this technique to employability in IT sector in India is a novel contribution.

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Samantra, Chitrasen, Saurav Datta, Siba Sankar Mahapatra, and Bikash Ranjan Debata. "Interpretive structural modelling of critical risk factors in software engineering project." Benchmarking: An International Journal 23, no. 1 (February 1, 2016): 2–24. http://dx.doi.org/10.1108/bij-07-2013-0071.

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Purpose – Success of software projects depends on identification of project risks and managing the risks in a proactive manner. Risk management requires thorough insights into interrelationship of various risk factors for proposing strategies to minimize failure rate. The purpose of this paper is to develop a comprehensive structural model to interrelate important risk factors affecting the success of software projects. Design/methodology/approach – Specifically, this study reveals how interpretive structural modelling helps the risk managers in identifying and understanding the interrelationship among various risk factors. A total of 23 risk factors (or risk sources) have been identified through an extensive literature review. Findings – Necessary modelling information has been gathered from expert through a structured questionnaire survey. Matrice d’Impacts croises-multipication appliqué an classment analysis has been employed to classify the risk factors into four clusters such as autonomous, dependent, linkage and independent based on their driving and dependence power. Risk factors with strong dependence and weak driving power need urgent attention from managerial perspective. Originality/value – The proposed model is useful for software managers/practitioners to address risk factors associated with complicated projects.

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Singh, Surabhi, Farha Haneef, Sumit Kumar, and Viput Ongsakul. "A framework for successful IoT adoption in agriculture sector: a total interpretive structural modelling approach." J. for Global Business Advancement 13, no. 3 (2020): 382. http://dx.doi.org/10.1504/jgba.2020.10033252.

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Singh, Surabhi, Farha Haneef, Sumit Kumar, and Viput Ongsakul. "A framework for successful IoT adoption in agriculture sector: a total interpretive structural modelling approach." J. for Global Business Advancement 13, no. 3 (2020): 382. http://dx.doi.org/10.1504/jgba.2020.111013.

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Bagherpour, Morteza, Mohammad Khaje Zadeh, Amin Mahmoudi, and Xiaopeng Deng. "INTERPRETIVE STRUCTURAL MODELING IN EARNED VALUE MANAGEMENT." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 26, no. 6 (June 10, 2020): 524–33. http://dx.doi.org/10.3846/jcem.2020.12182.

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The primary purpose of the current study is introducing a comprehensive approach to identify the relationship among different criteria in Earned Value Management (EVM). EVM is a well-known approach in project management context that can monitor schedule and cost performance indexes in projects simultaneously. The EVM detects current project performances and also predicts at completion costs of the project. In this study, employing Interpretive Structural Modelling, interactions which exist among affecting factors on EVM’s success are determined. First, all of the practical factors on EVM are determined and categorized into four main clusters; then the most effective ones are separated from the clusters; eventually, ISM is used based on eleven ultimate critical criteria. The results demonstrate that “Instability in the construction market” and “Macroeconomic indicators” are the most influencing factors affecting the EVM. Finally, a novel method for enhancing the performance of conventional EVM is presented. The proposed approach would be highly applicable for engineering managers who are willing to promote the current performance of the systems. Most studies have been previously carried out on the applications of the EVM in terms of improving final cost and total duration elapsed whereas there is not any particular study on the EVM issue which has stated the key factors that influence the EVM and lasting effect on the project performance. It should be noted that the proposed approach can be employed through the life cycle of any project particularly in construction projects.

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Hasan, Zuby, Sanjay Dhir, and Swati Dhir. "Modified total interpretive structural modelling (TISM) of asymmetric motives and its drivers in Indian bilateral CBJV." Benchmarking: An International Journal 26, no. 2 (March 4, 2019): 614–37. http://dx.doi.org/10.1108/bij-01-2018-0020.

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PurposeThe purpose of this paper is to examine the elements of asymmetric motives, i.e., initial cross-border joint venture (CBJV) conditions and relative partner characteristics in emerging nations. The two main objectives of the present research are to identify the elements affecting asymmetric motives in Indian bilateral CBJV and to construct modified total interpretive structural modelling (TISM) for the identified elements of asymmetric motives.Design/methodology/approachFor the current study, the qualitative technique named total interpretive structural modelling was used. The TISM (Sushil, 2012) is a novel extension of interpretive structural modelling (ISM) where ISM helps to understand the “what” and “how” of research (Warfield, 1974) and TISM answers the third question, i.e., “why” in the form of TISM; further checks for the correctness of TISM are given in Sushil (2016). TISM provides a hierarchical model of the elements selected for study and the interpretation of each element by iterative process and also a digraph that systematically depicts the relationship among various elements. TISM is an innovative modelling technique used by researchers in varied fields (Srivastava and Sushil, 2013; Wasujaet al., 2012; Nasim, 2011; Prasad and Suri, 2011). Steps involved in TISM are shown in Figure 1. It uses reachability matrix and partitioning of elements similar to ISM. Also, along with traditional TISM, the modified TISM process was also used where both paired comparisons and transitivity checks were done simultaneously which helped in minimising the redundant comparisons being made in the original process. Furthermore, for identifying the elements of study, SDC Platinum database was used, which was taken from research papers of major journals namelyBritish Journal of Management,Administrative Science Quarterly,Strategic Management Journal,Management Science,Academy of Management JournalandOrganization Science(Schilling, 2009). The database included all joint ventures that were formed in India, having India as one of the partner firms during fiscal year April 2000 and March 2010. From these, 361 CBJVs and 76 domestic joint ventures were identified. Although 54 CBJVs were excluded from these, a total number of 307 CBJVs were studied in the current research. Among these 307 CBJVs, 201 were from super-advanced nations (G7), 40 CBJVs from developing nations and 66 CBJVs from other developed nations. As 65 per cent of the CBJVs came from G7 nations (France, Italy, Japan, Canada, Germany, USA and UK), in the current study, we tried to examine Indian CBJVs with G7 partners only for a period of ten years as mentioned above.FindingsThe results of the study indicate that asymmetric motives are directly affected by critical activity alignment and interdependency. Thus, we can conclude that critical activity alignment of partners in CBJV is an antecedent of CBJV motive and thereby minimises the number of asymmetric motives. Bottom level variables such as culture difference and relative capital structure are considered as strong drivers of asymmetric motives. Diversification, resource heterogeneity and inter-partner conflict are middle level elements. Effect of these elements on asymmetric motives can only be improved and enhanced when improvement in bottom level variables is found. It has been believed that as the relative capital structure among firm increases, CBJVs’ asymmetric motives also increase, the reason being that as the difference in capital structure occurs, gradual change in bargaining power will also occur.Originality/valueTISM used in the present study provides valuable insights into the interrelationship between identified elements through a systematic framework. The methodology of TISM used has its implications for researchers, academicians as well for practitioners. Further study also examines driver-dependent relationship among elements of interest, i.e., relative partner characteristics and initial CBJV conditions by using MICMAC analysis, which can be viewed as a significant step in research related to bilateral CBJV.

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Zhao, Guoqing, Shaofeng Liu, Haiyan Lu, Carmen Lopez, and Sebastian Elgueta. "Building theory of agri-food supply chain resilience using total interpretive structural modelling and MICMAC analysis." International Journal of Sustainable Agricultural Management and Informatics 4, no. 3/4 (2018): 235. http://dx.doi.org/10.1504/ijsami.2018.099236.

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Zhao, Guoqing, Shaofeng Liu, Sebastian Elgueta, Carmen Lopez, and Haiyan Lu. "Building theory of agri-food supply chain resilience using total interpretive structural modelling and MICMAC analysis." International Journal of Sustainable Agricultural Management and Informatics 4, no. 3-4 (2018): 235. http://dx.doi.org/10.1504/ijsami.2018.10020635.

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Sinha, Shuchi, Shiwangi Singh, Vellupillai Mukunda Das, and Anuj Sharma. "A framework for linking entrepreneurial ecosystem with institutional factors: a modified total interpretive structural modelling approach." J. for Global Business Advancement 12, no. 3 (2019): 382. http://dx.doi.org/10.1504/jgba.2019.10022953.

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Wuni, Ibrahim Y., and Geoffrey Q. P. Shen. "Holistic Review and Conceptual Framework for the Drivers of Offsite Construction: A Total Interpretive Structural Modelling Approach." Buildings 9, no. 5 (May 8, 2019): 117. http://dx.doi.org/10.3390/buildings9050117.

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The significant ill-performances, challenges, and increasing competition within the construction sector are generating tremendous changes. One such revolution is the transition towards offsite construction (OSC). Although a plethora of studies has expounded the virtues and benefits of the approach, a holistic review and conceptual framework of the drivers of OSC is not well-established. This research draws on a multistage methodological framework of a systematic literature review, plenary discussions, and the total interpretive structural modelling (TISM) approach to build a holistic conceptual framework for the drivers of OSC. A review of 32 empirical studies distributed across four continents resulted in the extraction of 86 drivers. The 86 drivers were grouped into time, cost, quality, productivity, innovative competitiveness, market, sustainability, and policy clusters of drivers drawing on previous classifications in empirical studies. The TISM modeling revealed three hierarchical levels of the drivers, comprising dependent, linkage, and independent drivers. Based on an MICMAC analysis, “innovative competitiveness” and “sustainability” have the highest driving powers and lowest dependences, suggesting their prime significance in the adoption of OSC. Thus, this research provides a broader perspective of the drivers and may help OSC practitioners and policymakers to gain a better understanding of the ecosystem of the drivers.

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Agrawal, Rohit, and Vinodh S. "Application of total interpretive structural modelling (TISM) for analysis of factors influencing sustainable additive manufacturing: a case study." Rapid Prototyping Journal 25, no. 7 (August 12, 2019): 1198–223. http://dx.doi.org/10.1108/rpj-06-2018-0152.

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Purpose The purpose of this study is to develop a structural model based on total interpretive structural modelling (TISM) approach for analysis of factors influencing sustainable additive manufacturing (AM). Design/methodology/approach A total of 20 factors influencing sustainable AM are identified on the basis of literature review. Appropriate inputs from experts are obtained and TISM model is developed. Also, cross-impact Matrix multiplication applied to classification (MICMAC) analysis is carried out to categorize the factors. Findings Based on TISM model, “Flexibility in manufacturing”, “Time to develop new product” and “Local availability of technology” are found to be the dominant factors. MICMAC analysis indicates that 10 factors belong to driving and 10 factors belong to dependent category. Research limitations/implications In the present study, 20 factors have been considered. In future, additional factors can be considered to deal with technological advancements. Practical implications The conduct of the study will enable AM experts to systematically analyze the factors influencing sustainable AM. Originality/value The development of structural model for analysis of factors influencing sustainable AM manufacturing is the original contribution of authors.

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Chawla, Nitin, and Deepak Kumar. "Modelling of Cloud Computing Enablers Using MICMAC Analysis and TISM." International Journal of Ambient Computing and Intelligence 9, no. 3 (July 2018): 31–43. http://dx.doi.org/10.4018/ijaci.2018070103.

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This article describes how Cloud Computing is not just a buzzword but a shift from IT departments to the outsourcing vendors without impacting business efficiency. Some organizations are moving towards cloud computing but many have resistance to adopting cloud computing due to limitations in knowledge and awareness of the classifying elements, which effect decisions on the acceptance of cloud computing. Therefore, this article has focused on accumulating the elements, which can act as enablers, by reviewing existing literature and studies from both professional and academic viewpoints. All the identified enablers have been structurally modeled to develop the relationship matrix and establish the driving power and dependence power of every element. This is done by employing Total Interpretive Structural Modeling (TISM) and Cross Impact Matrix Multiplication Applied to Classification (MICMAC) analysis.

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Muruganantham, G., S. Vinodh, C. S. Arun, and K. Ramesh. "Application of interpretive structural modelling for analysing barriers to total quality management practices implementation in the automotive sector." Total Quality Management & Business Excellence 29, no. 5-6 (July 28, 2016): 524–45. http://dx.doi.org/10.1080/14783363.2016.1213627.

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Dubey, Rameshwar, and Sadia Samar Ali. "Identification of Flexible Manufacturing System Dimensions and Their Interrelationship Using Total Interpretive Structural Modelling and Fuzzy MICMAC Analysis." Global Journal of Flexible Systems Management 15, no. 2 (February 13, 2014): 131–43. http://dx.doi.org/10.1007/s40171-014-0058-9.

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Mathivathanan, Deepak, K. Mathiyazhagan, Nripendra P. Rana, Sangeeta Khorana, and Yogesh K. Dwivedi. "Barriers to the adoption of blockchain technology in business supply chains: a total interpretive structural modelling (TISM) approach." International Journal of Production Research 59, no. 11 (January 12, 2021): 3338–59. http://dx.doi.org/10.1080/00207543.2020.1868597.

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Kumar Srivastava, Amit, and Sushil Sushil. "Modelling drivers of adapt for effective strategy execution." Learning Organization 21, no. 6 (September 2, 2014): 369–91. http://dx.doi.org/10.1108/tlo-08-2013-0038.

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Purpose – The purpose of this study is to develop a framework for “Adapt” in the context of strategy execution. Design/methodology/approach – Both exploratory and confirmatory modes of research using Confirmatory Factor Analysis, Interpretive Structure Modeling, Total Interpretive Structural Modeling and t-test methods have been conducted. Findings – The conceptualization of learning and learning organization can only be possible when organization develops adaptive culture. When an organization becomes learning organization, it starts becoming vital by adopting flexibility wherever and whenever it is required. This vitalization process helps organization use successfully the frameworks of strategy execution. Research limitations/implications – In many cases the Balance Score Card could not succeed. Our study suggests that the adaptive culture gives impetus for learning and growth suggested in balanced scorecard (BSC) and adapt suggested in Management System. This study is more an exploratory effort with limited sample size. The findings can be consolidated and enriched with significantly large sample from varied contexts. Practical implications – There is clear relative importance and sequence of corrective actions required to improve the hit rate of strategy execution. Organization can use the proposed framework to handle the issues of adapt in strategy execution. Originality/value – Many scholars have pointed out that there is lack of strategy execution framework, and more specifically, in the case of adapt. The study contributes by providing a conceptual framework to address different aspects of adapt and change management for effective strategy execution. Additionally, this study adds methodological value to traditional model building.

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Tseng, Ming-Lang, Phan Tan, Kuo-Jui Wu, Remen Lin, Nitcha Todumrongkul, Patrapapar Juladacha, and Gabriella Christianti. "Sustainable Total Resource Management in Thailand Healthcare Industry under Uncertain Situations." Sustainability 12, no. 22 (November 18, 2020): 9611. http://dx.doi.org/10.3390/su12229611.

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This study aims to validate the sustainable total resource management measures and provide a hierarchical structure to manage the medical resources for the healthcare industry in Thailand. Prior studies have failed to deal with the valid attributes and to present a theoretical hierarchical structure. The Thailand healthcare industry faces medical resource depletion in the current pandemic outbreak. To address these gaps, this study proposes a fuzzy Delphi method to screen out the less important attributes in order to enhance the validity of measures. Fuzzy interpretive structural modelling transfers the complex interrelationships into a hierarchical structure and provides the direction for practical improvement. The result shows that green human resources practices, collaboration in supply chain networks, analysis and knowledge management, and technology innovation are all important aspects of the hierarchical structure for practical improvement. The linkage criteria are (1) green ability, (2) green motivation, (3) operational efficiency, (4) environmental regulation, and (5) energy conservation. The theoretical and managerial implications are subsequently discussed.

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Veltmeyer, Johan, and Sherif Mohamed. "Investigation into the hierarchical nature of TQM variables using structural modelling." International Journal of Quality & Reliability Management 34, no. 4 (April 3, 2017): 462–77. http://dx.doi.org/10.1108/ijqrm-04-2015-0052.

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Purpose The purpose of this paper is to provide the empirical evidence supporting the existence of a multi-level hierarchical TQM model showing the structural inter-relationships among a total of 16 TQM variables (i.e. drivers, enablers and outcomes). Design/methodology/approach The set of identified TQM variables is the product of an in-depth review of the literature, and a robust reiterative process of verification and validation. Inter-relationships among the TQM variables were subjected to the scrutiny of a panel of experts, and were used as a basis for developing a web-based survey to explore the existence as well as strength of the structural relationship between each and every pair of the identified variables using interpretive structural modelling and MICMAC (Impact Matrix Cross-Reference Multiplication Applied to a Classification). Findings TQM variables were classified and clustered based on their influence and dependence on each other. Variables such as commitment by top management and customer satisfaction appear to have a strong chance to affect change, whereas variables such suppliers and competitors are very dependent on, and sensitive to, the evolution of the influent variables. Originality/value The paper demonstrates a multi-level TQM model encompassing all identified TQM drivers, enablers, and outcomes. The paper not only addresses a gap in the relevant literature (reduces the evidence scarcity about the hierarchical nature of TQM variables), but also gives insights into the variables with most driving power needing greater management attention.

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Singh, Rajesh Kumar. "Modelling of critical factors for responsiveness in supply chain." Journal of Manufacturing Technology Management 26, no. 6 (July 6, 2015): 868–88. http://dx.doi.org/10.1108/jmtm-04-2014-0042.

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Purpose – In globalized economy, product life cycle is reducing continuously, customers demands are changing fast, and lead time for response is decreasing. In such scenario, ability of firms to quickly respond to changes in their external environment is a primary determinant of firm’s performance. This can be only possible when whole of the supply chain (SC) is responsive. For this, firms have to manage internal operations effectively to enable SC, responsive for market requirements. The purpose of this paper is to identify different factors for responsive SC. Design/methodology/approach – Based on literature review, total 17 critical factors for the responsive SC have been identified. Some of these factors are process oriented and some are result oriented. To develop structural relationship among these factors from strategic perspective, interpretive structural modeling (ISM) approach has been applied. Findings – It is observed that top management commitment, strategy development, resource development, use of technology, risk and reward sharing are major drivers for responsive SC. By managing these enablers, organizations can also benefit in terms of inventory management, lead time reduction and agility. Research limitations/implications – ISM has got some limitations. Major limitation is that the relationships developed are subjective and there are chances of biasing. Therefore findings need to be validated with case studies and empirical findings. Practical implications – Top management should strive for effective use of resources and technology to improve SC capabilities to meet market changes. Originality/value – This study develops structural relationships between different factors and it will help organizations in taking initiatives for improving responsiveness.

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Dubey, Rameshwar, and Tripti Singh. "Understanding complex relationship among JIT, lean behaviour, TQM and their antecedents using interpretive structural modelling and fuzzy MICMAC analysis." TQM Journal 27, no. 1 (January 12, 2015): 42–62. http://dx.doi.org/10.1108/tqm-09-2013-0108.

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Purpose – The purpose of this paper is to understand possible linkage between variables that constitute a lean manufacturing enterprise. In the study the authors have tried to decode the complex relationship among variables which is missing in extant literature. Design/methodology/approach – In the study the authors have used systematic literature review (SLR) approach to identify the variables from extant literature and used interpretive structural modelling (ISM) and Fuzzy MICMAC analysis to understand complex equation among variables from Indian manufacturing firm perspective. Findings – The findings using ISM modeling indicate top management support is the bottom level and business performance is the top level. In order to further resolve conflicts the authors have further analyzed variables using Fuzzy MICMAC analysis which has further divided variables into four clusters. The Fuzzy MICMAC output suggests that top management support, real time production information, training and team work are the driving variables and business performance, total quality management and lean behavior are the dependence variables. Research limitations/implications – Like any study, the study have its own limitations. In the study the authors have developed the model based on expert opinion. The number may be not enough to validate this model statistically. However, it can be regarded as a platform for further investigation using structural equation modeling. Originality/value – The present study using ISM model has proposed a model based upon experts, identified from Indian major manufacturing firms. This model can further provide empirical platform for further investigation which can resolve lean manufacturing issues.

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Sindhu, Shilpa, and Rahul S. Mor. "Modelling the Enablers for Branded Content as a Strategic Marketing Tool in the COVID-19 Era." Systems 9, no. 3 (August 26, 2021): 64. http://dx.doi.org/10.3390/systems9030064.

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This study aims towards identifying and modelling the significant factors which act as enablers for the branded content to be used strategically by marketers as a marketing tool in the COVID-19 era. A qualitative approach was adopted for this study, and significant factors associated with branded content were identified from the literature review and primary survey. The factors were then verified by the experts in the area of branding and digital marketing. Total interpretive structural modelling (TISM) and Decision-making Trial and Evaluation Laboratory (DEMATEL) techniques were used to model the factors as per their contextual relationships. As per the model outcomes from TISM and DEMATEL approaches, branded content is an efficient marketing tool that promises value delivery to stakeholders. This, in turn, depends on the authenticity and transparency in content development and distribution. The most significant driving enablers for the system suggest efficient measurement and evaluation strategies and the customer as co-creator for the branded content.

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Bhatt, Nisha. "Modelling of the Factors Influencing the Implementation of Advance Manufacturing Technologies in MSME." Global Journal of Enterprise Information System 8, no. 3 (April 6, 2017): 12. http://dx.doi.org/10.18311/gjeis/2016/15652.

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Indian MSMEs constitute ninety percent of total number of industrial enterprises and thus fostering the employability in India. The major advantage of this sector is it’s contribution in industrial production and export. However in spite of their positive outlook towards industrial growth, these enterprises are facing technological obsolescence. The imminent need of these enterprises is technological innovations to make them competitive and survive in the global market. The solution for technological innovation aspects is use of latest automated manufacturing technologies that efficiently utilizes the resources and hence the entire chain of production. The decision of opting Advance Manufacturing Technologies (AMTs) in enterprises with limited capital resources is rather difficult as it is the question of not only the nation’s economy but employability expectations of people. The objective of this paper is to assist the mangers on a systematic framework that will answer how to perform the decision making process of adopting the AMTs in their enterprises. The key factors that one should considers while making this crucial decision are: Strategic aspects, organization structure, hands on training, implementation practices etc. A total 14 factors are considered in this study and these are modelled based on their level of priorities using Total Interpretive Structural Modelling (TISM). The model derived in this research will be helpful for manufacturing practitioners for making decisions on adopting AMTs.

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Vaishnavi, V., and M. Suresh. "Modelling of readiness factors for the implementation of Lean Six Sigma in healthcare organizations." International Journal of Lean Six Sigma 11, no. 4 (February 21, 2020): 597–633. http://dx.doi.org/10.1108/ijlss-12-2017-0146.

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Purpose This paper aims to identify, analyze and categorize the major readiness factors for implementing Lean Six Sigma (LSS) in health-care organizations using total interpretive structural modelling technique. The readiness factors are identified would help the managers to recognize the areas that lack and provide importance to the successful implementation of LSS in those areas. The paper further intends to understand the hierarchical interrelationships among the readiness factors identified using dependence and driving power. Design/methodology/approach In total, 16 readiness factors are identified from the literature review and expert opinions are collected from hospitals. The scheduled interview is conducted based on a questionnaire survey in hospitals in the Indian context to identify the relevance of the relations among the readiness factors. The expert opinions are used in the initial reachability matrix and interpretative interaction matrix. Matrix impact cross multiplication applied to classification (MICMAC) analysis uses dependence and driving power to understand the hierarchical relationship among the readiness factors identified. Findings The result indicates that customer-oriented and goal management cultures are the key readiness factors for LSS. The execution technique and training are given according to the current demand of customers and goal change of organization. The manager needs to concentrate more on readiness factors to formulate the execution process of LSS for continuous improvement of the health-care organization. The readiness level helps the manager to identify the target area for LSS execution. Research limitations/implications This research focuses mainly on readiness factors for the implementation of LSS in the health-care industry. Practical implications This study would be useful for researchers and practitioners to understand the readiness factors before starting the implementation process of LSS. Originality/value Many research studies are being done on the success and failure rate of implementation of factors. The present study identifies the readiness factors related to LSS, especially for the health-care industry.

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V., Vaishnavi, Suresh M., and Pankaj Dutta. "Modelling the readiness factors for agility in healthcare organization: a TISM approach." Benchmarking: An International Journal 26, no. 7 (September 2, 2019): 2372–400. http://dx.doi.org/10.1108/bij-06-2018-0172.

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Purpose The purpose of this paper is to identify and analyze the interactions among different readiness factors for implementing agility in healthcare organization. Total interpretive structural modeling (TISM) based readiness framework for agility has been developed to understand the mutual interactions among the factors and to identify the driving and dependence power of these factors. Design/methodology/approach The identification of factors is done by TISM approach used for analyzing the mutual interactions between factors. Cross-impact matrix multiplication applied to classification analysis is utilized to find the driving and dependent factors of agile readiness in healthcare. Findings This paper identifies 12 factors of readiness for change in literature review, which is followed by an expert interview to understand the interconnection of factors and to study interrelationships of factors. The study suggests that factors like environmental scanning, resource availability, innovativeness, cost effectiveness, organizational leadership, training and development are important for implementing/improving the readiness of agility in healthcare organizations. Research limitations/implications This research focuses mainly on readiness factors for agility in healthcare sector. Practical implications Top management must stress on readiness factors that have a strong driving power for efficient implementation of agility in healthcare. This study helps the managers to take quick decisions, and continuous monitoring of readiness factors would be more beneficial to improve the quality of service, which makes the organization more agile. Originality/value In this research, TISM-based readiness for agile framework structural model has been proposed for healthcare organizations, which is a new effort for implementation of agility in healthcare.

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Sinaga, B. L., I. L. I. Purnama, R. D. Astanti, N. T. Putri, and N. D. Wulandari. "Interpretative Structural Modelling for Determining Dominant Success Criteria of Information System (IS) Success at Handycraft SMEs in Yogyakarta, Indonesia." International Journal of Industrial Engineering and Engineering Management 1, no. 1 (June 30, 2019): 31. http://dx.doi.org/10.24002/ijieem.v1i1.2294.

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The purpose of this research paper is to determine the dominant criteria of Information System (IS) success specific to handcraft SMEs in Yogyakarta and to establish relationship among those criteria using interpretive structural modeling (ISM). A small portion of those SMEs have started using information system. However, they face several barriers to successfully implement the information system. Therefore, it is necessary to ensure the success of information system implementation. But, no study has been done regarding the measurement IS success specific to handcraft SMEs in Yogyakarta. This research involved interview-based surveys and ISM approach to determine the dominant criteria of IS success of SMEs in Yogyakarta context. In total, 16 SMEs were involved as research objects in this research. In this research, four cluster of SME have been identified and the modified IS Success model for each cluster was developed accordingly. The modified model for each cluster has 14, 20, 16 and 30 criteria respectively. Through ISM, a relationship model among the criteria for each model was also obtained. It was concluded that “ease of use”, “ease of learning”, and “data accuracy” are significant criteria of IS Success model in SMEs in Yogyakarta. These criteria are considered as the dominant criteria to implement information system successfully. In addition, the desired results of successful implementation is represented by “improved outcomes”.

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Shukla, Seema, Surya Prakash Singh, and Ravi Shankar. "Food safety assessment in India: modelling enablers." Benchmarking: An International Journal 25, no. 7 (October 1, 2018): 2478–95. http://dx.doi.org/10.1108/bij-04-2017-0068.

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Purpose The ever-widening competitive global markets demand food business to demonstrate safe food supplies across the world. The causes of food borne illness are complex to determine and require a careful evaluation of all stages of food supply chain and food safety practices. The purpose of this paper is to systematically investigate the factors responsible for the assessment of food supply chain and evaluation of food safety system in India. Design/methodology/approach The study utilizes a combination of qualitative and quantitative approach by exploring expert’s opinion systematically using a semi-structured interview followed by careful grouping of responses using the grounded theory approach to build the research theme. The prioritization of the critical factors is carried out using Pareto analysis. The methodological review was carried out to identify factors and categorize them based on their impact on hierarchical logical relationship using total interpretive structural modeling approach to determine the enablers. Findings This paper attempts to deliver an inimitable list of seven vital factors for the effective design of evaluation system for food safety practices. The study provides a careful insight on the issue pertaining to designing of assessment system including competence building for assessor and availability of well-defined technical protocol. The recommendation for developing a robust food safety inspection system by implementing stricter regulation, enhancing competence and design initiatives is provided. Originality/value The study provides a unique list of factors for the assessment of food safety practices and develops the relationship. Food safety assessment is an integral part of food safety study which is systematically explored and conceptualized in this paper. The study is carried out using the opinion of Indian experts.

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Bag, Surajit, Sunil Luthra, V. G. Venkatesh, and Gunjan Yadav. "Towards understanding key enablers to green humanitarian supply chain management practices." Management of Environmental Quality: An International Journal 31, no. 5 (February 29, 2020): 1111–45. http://dx.doi.org/10.1108/meq-06-2019-0124.

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PurposeHumanitarian supply chains (HSCs) by their very nature require urgent reaction to unforeseeable needs, making it difficult to properly plan for the support of actual demands. As such, integrating sustainability into traditional HSC practices continues to present a challenge to governments, nongovernmental organizations (NGOs) and other humanitarian-related agencies. This study focuses on identifying and categorizing the leading enablers to green humanitarian supply chains (GHSCs) and proposes a model for improving the responsiveness based upon a fuzzy total interpretive structural modelling approach.Design/methodology/approachTotal interpretive structural modelling (TISM) uses group decision-making to identify contextual relationships among each pair of enablers and elucidates the nature of each underlying relationship. The fuzzy TISM shows the level of strength (very high influence, high influence, low influence and very low influence) of each enabler in relation to other enablers, which can help to inform management decision-making.FindingsGHSC management requires strategic planning of inventory and logistics management. The importance of collaborative relationship building with HSC partners for developing capability and the effective use of available resources are keys to success. These improved relationships also help to promote postponement and similar speculation-based logistics strategies, as well as advanced purchasing and pre-positioning strategies. Finally, the speed and quality of response is found to be the top enabler in GHSC management.Research limitations/implicationsOne noted shortcoming of the chosen research method is its reliance on subjective expert judgement. However, collecting judgements is at the basis of many research methods, and the research team took utmost care throughout the research process to allay biases. Future empirical research can further examine the relationships suggested herein. Managers can use the model developed in this research to consider impactful ways to design and execute sustainable HSCs.Originality/valueTo the best of the authors' knowledge, this is a novel attempt to identify enablers to GHSC management. Secondly, the research team has used an advanced methodology (fuzzy TISM) to develop the contextual inter-relationships among the enablers which has not been used earlier in this direction before and thus advances the GHSC literature.

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Dahiya, Shweta, Anupama Panghal, Shilpa Sindhu, and Parveen Siwach. "Organic food women entrepreneurs-TISM approach for challenges." Journal of Enterprising Communities: People and Places in the Global Economy 15, no. 1 (January 18, 2021): 114–36. http://dx.doi.org/10.1108/jec-04-2020-0068.

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Purpose Organic food is getting attention these days from consumers and producers, in pursuit of safe and chemical-free food. In India, there is an upsurge in entrepreneurs in the organic food sector, with women entrepreneurs signalling higher numbers. Women entrepreneurs have the potential to contribute significantly to the field of organic food; the only requirement is to address the challenges faced by them. This paper aims to attempt at exploring and modelling the challenges faced by women entrepreneurs in the organic food sector. Design/methodology/approach Significant challenges were identified through literature review, primary data collection and expert opinions. The identified challenges were then modelled through total interpretive structural modelling and fuzzy-matriced impact cruises multiplication applique techniques to give a meaningful contextual relationship. Findings This study identified “poor government support” and “less awareness” amongst the stakeholders, as the most strategic challenges with the highest driving power to influence other challenges. In contrast, “low funding options” and “fewer buyers” emerged as the most dependent challenges for organic food women entrepreneurs in India. Originality/value The model proposed in the study gives a roadmap for different stakeholders in the food industry to scale up organic food women entrepreneurs in India.

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Panackal, Nehajoan, and Bhama Venkataramani. "A Study of the Enablers of Social Capital in an Organization : A Total Interpretative Structural Modelling and MICMAC Approach." Prabandhan: Indian Journal of Management 14, no. 4 (April 30, 2021): 22. http://dx.doi.org/10.17010/pijom/2021/v14i4/158725.

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Mishra, Debesh, and Suchismita Satapathy. "An Integrated SWARA, QFD, and ISM Approach for Agricultural Injuries in India." International Journal of Decision Support System Technology 12, no. 2 (April 2020): 1–24. http://dx.doi.org/10.4018/ijdsst.2020040101.

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A survey was carried out to study and collect data about the agricultural farmer injuries of Odisha in India. Five villages with major population with farming as occupation were selected. A total of 145 farmers were selected for the study. It was found that, the number of accidents by hand tools such as spades, plain edge sickles, serrated sickles, and shovels were 13 (16.45%), 6 (7.59%), 11 (13.92%), and 7 (8.86%), respectively. Also, it was observed that maximum number of male and female farmers who were victims of agricultural injury were in the age group of 31 to 45. A smaller number of injured farmers were found in the age group of 18 to 30. Factor analysis followed by the SWARA method was used to rank the important variables which were found as the causes for agricultural accidents or injuries by the responses obtained through questionnaires. Finally, QFD & Interpretive Structural Modeling (ISM) and MICMAC analysis was performed, to frame design requirements in the form of safety requirements.

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Haleem, Abid, and Mohd Imran Khan. "Towards successful adoption of Halal logistics and its implications for the stakeholders." British Food Journal 119, no. 7 (July 3, 2017): 1592–605. http://dx.doi.org/10.1108/bfj-12-2016-0637.

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Purpose The purpose of this paper is to understand the major critical success factors (CSFs), which are instrumental for effective adoption and implementation of Halal logistics (HL) in Halal supply chain (HSC) environment. Design/methodology/approach In total, 15 CSFs/CSF clusters were identified and used to develop an interpretive structural modelling-based hierarchal and structural model. Further, analysis categorises driving and dependence power of factors. MICMAC has been undertaken to analyse how these CSFs and their hierarchies relate, with paths and levels. Findings It was found that there is a need to develop proper guidelines, standards and codes, to train the Halal logisticians. Robust ICT and its appropriate implementation seems as the backbone of the HSC. HL emerges as a key component for the Halal industry to succeed, and the same is required to extend the integrity of the Halal products from the farm to the fork. That’s to develop Halal as an intrinsic characteristic. Thus, organisations should have support from specific CSFs. The paper provides managerial implications, recommendations for effective implementation of HL and further in identifying the pull effect of HL. Research limitations/implications The model so developed is contextual and based on the perception of qualified experts, and they can have biasness of Halal meat supply chain. Originality/value An academic research taking views from different stakeholders with findings valuable to researchers and the policy planners.

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Journal articles on the topic 'Total Interpretive Structural Modelling'

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