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Calgan, Haris. "Novel tilt integral sliding mode controller and observer design for sensorless speed control of a permanent magnet synchronous motor." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 41, no. 1 (December 3, 2021): 455–70. http://dx.doi.org/10.1108/compel-05-2021-0180.
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Purpose This study aims to design and implement a novel tilt integral sliding mode controller and observer for sensorless speed control of a permanent magnet synchronous motor (PMSM). Design/methodology/approach A control strategy combining the tilt integral derivative (TID) with sliding mode control (SMC) is proposed to determine the tilt integral sliding mode manifold. Using this manifold, tilt integral sliding mode controller (TISMC) and observer (TISMO) are designed. The stabilities are verified by using Lyapunov method. To prove the effectiveness and robustness of proposed methods, sensorless speed control of PMSM is performed for various operating conditions such as constant and variable speed references, load disturbance injection, parameter perturbation, whereas sensor noises are not taken into account. The performance of proposed method is compared with TID controller, proportional integral derivative controller and conventional SMO. Findings Simulation results demonstrate that TISMC and TISMO have better performance in all operating conditions. They are robust against parameter uncertainties and disturbances. TISM based sensorless control of PMSM is well guaranteed with superior performance. Originality/value The proposed method has not been tackled in the literature. By combining TID and SMC, novel tilt integral sliding manifold is presented and used in designing of the controller and observer. It is proven by Lyapunov method that errors converge to zero.
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Jena, J., Sumati Sidharth, Lakshman S. Thakur, Devendra Kumar Pathak, and V. C. Pandey. "Total Interpretive Structural Modeling (TISM): approach and application." Journal of Advances in Management Research 14, no. 2 (May 8, 2017): 162–81. http://dx.doi.org/10.1108/jamr-10-2016-0087.
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Purpose The purpose of this paper is to elucidate the methodology of total interpretive structural modeling (TISM) in order to provide interpretation for direct as well as significant transitive linkages in a directed graph. Design/methodology/approach This study begins by unfolding the concepts and advantages of TISM. The step-by-step methodology of TISM is exemplified by employing it to analyze the mutual dependence among inhibitors of smartphone manufacturing ecosystem development (SMED). Cross-impact matrix multiplication applied to the classification analysis is also performed to graphically represent these inhibitors based on their driving power and dependence. Findings This study highlights the significance of TISM over conventional interpretive structural modeling (ISM). The inhibitors of SMED are explored by reviewing existing literature and obtaining experts’ opinions. TISM is employed to classify these inhibitors in order to devise a five-level hierarchical structure based on their driving power and dependence. Practical implications This study facilitates decision makers to take required actions to mitigate these inhibitors. Inhibitors (with strong driving power), which occupy the bottom level in the TISM hierarchy, require more attention from top management and effective monitoring of these inhibitors can assist in achieving the organizations’ goals. Originality/value By unfolding the benefits of TISM over ISM, this study is an endeavor to develop insights toward utilization of TISM for modeling inhibitors of SMED. This paper elaborates step-by-step procedure to perform TISM and hence makes it simple for researchers to understand its concepts. To the best of the authors’ knowledge, this is the first study that analyzes the inhibitors of SMED by utilizing TISM approach.
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Jain, Vineet, and Vimlesh Kumar Soni. "Modeling and analysis of FMS performance variables by fuzzy TISM." Journal of Modelling in Management 14, no. 1 (February 11, 2019): 2–30. http://dx.doi.org/10.1108/jm2-03-2018-0036.
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PurposeThe purpose of this paper is to identify the flexible manufacturing system performance variables and analyze the interactions among these variables. Interpretive structural modeling (ISM) has been reported for this but no study has been done regarding the interaction of its variables. Therefore, fuzzy TISM (total ISM) has been applied to deduce the relationship and interactions between the variables and driving and dependence power of these variables are examined by fuzzy MICMAC.Design/methodology/approachFuzzy TISM and fuzzy MICMAC analysis have been applied to deduce the relationship and interactions among the variables and driving and dependence power of these variables are examined by fuzzy MICMAC.FindingsIn total, 15 variables have been identified from the extensive literature review. The result showed that automation, use of automated material handling, an effect of tool life and rework percentage have high driving power and weak dependence power in the fuzzy TISM model and fuzzy MICMAC analysis. These are also at the lowest level in the hierarchy in the fuzzy TISM model.Originality/valueFuzzy TISM model has been suggested for manufacturing industries with fuzzy MICMAC analysis. This proposed approach is a novel attempt to integrate TISM approach with the fuzzy sets. The integration of TISM with fuzzy sets provides flexibility to decision-makers to further understand the level of influences of one criterion over another, which was earlier present only in the form of binary (0, 1) numbers; 0 represents no influence and 1 represents influence.
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Khatwani, Gaurav, Surya Prakash Singh, Ashish Trivedi, and Ankur Chauhan. "Fuzzy-TISM: A Fuzzy Extension of TISM for Group Decision Making." Global Journal of Flexible Systems Management 16, no. 1 (December 12, 2014): 97–112. http://dx.doi.org/10.1007/s40171-014-0087-4.
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Bamel, Nisha, Sanjay Dhir, and Sushil Sushil. "Inter-partner dynamics and joint venture competitiveness: a fuzzy TISM approach." Benchmarking: An International Journal 26, no. 1 (February 4, 2019): 97–116. http://dx.doi.org/10.1108/bij-02-2018-0041.
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Purpose The purpose of this paper is to identify the inter-partner dynamics-based enablers of joint venture (JV) competitiveness. In addition, this paper models the interactions among identified enablers/factors to project the strength of their relationship with JV competitiveness. Design/methodology/approach ISM- and total interpretive structural modeling (TISM)-based fuzzy TISM approach has been used to examine the interactions and strength of interactions among identified enablers of JV competitiveness. Findings The analysis concludes that inter-partner dynamics-based enablers, such as partner fit, power symmetry and trust, have strong driving power and low dependence power and are at the lowest level of hierarchy in fuzzy TISM model. Variables like collaborative communication, organizational learning and absorptive capacity are linkage variables and they have high dependence as well as driving power and they lie in the second level of fuzzy TISM hierarchy. Strategic flexibility is found to have high dependence power and has weak driving power. The outcome variable JV competitiveness found to have zero driving power and highest dependence power. Practical implications The findings have implications for practitioners and policy makers. JVs may achieve competitiveness by managing identified enablers (inter-partner dynamics). Originality/value Present paper is one among the few efforts that address the issue of JV competitiveness (post-formation of JV). Methodologically also, this study is one among few initial efforts of using modified fuzzy TISM to explore and understand the linkage among enablers and outcome variables. Modified fuzzy TISM process carries out transitivity checks along with the successive pair-wise comparisons and simplifies the fuzzy TISM approach.
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Rauch, Michael, and Gerard Parkin. "Insertion of CS2into the Mg–H bond: synthesis and structural characterization of the magnesium dithioformate complex, [TismPriBenz]Mg(κ2-S2CH)." Dalton Transactions 47, no. 36 (2018): 12596–605. http://dx.doi.org/10.1039/c8dt01947a.
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Insertion of CS2into the Mg–H bond of [TismPriBenz]MgH affords [TismPriBenz]Mg(κ2-S2CH), the first structurally characterized magnesium dithioformate compound.
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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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Wankhede, Vishal Ashok, and Vinodh S. "Application of total interpretive structural modeling for analyzing factors of additive manufacturing and industry 4.0 integration." Rapid Prototyping Journal 27, no. 8 (July 26, 2021): 1591–608. http://dx.doi.org/10.1108/rpj-02-2021-0028.
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Purpose The purpose of this paper is to develop a model based on the total interpretive structural modeling (TISM) approach for analysis of factors of additive manufacturing (AM) and industry 4.0 (I4.0) integration. Design/methodology/approach AM integration with I4.0 is attributed due to various reasons such as developing complex shapes with good quality, real-time data analysis, augmented reality and decentralized production. To enable the integration of AM and I4.0, a structural model is to be developed. TISM technique is used as a solution methodology. TISM approach supports establishing a contextual relationship-based structural model to recognize the influential factors. Cross-impact matrix multiplication applied to classification (MICMAC) analysis has been used to validate the TISM model and to explore the driving and dependence power of each factor. Findings The derived structural model indicated the dominant factors to be focused on. Dominant factors include sensor integration (F9), resolution (F12), small build volumes (F19), internet of things and lead time (F14). MICMAC analysis showed the number of driving, dependent, linkage and autonomous factors as 3, 2, 12 and 3, respectively. Research limitations/implications In the present study, 20 factors are considered. In the future, additional factors could be considered based on advancements in I4.0 technologies. Practical implications The study has practical relevance as it had been conducted based on inputs from industry practitioners. The industry decision-makers and practitioners may use the developed TISM model to understand the inter-relationship among the factors to take appropriate measures before adoption. Originality/value The study on developing a structural model for analysis of factors influencing AM and I4.0 is the original contribution of the authors.
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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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Kumar, Rupesh, Parul Gupta, and Rajesh Gupta. "A TISM and MICMAC Analysis of Factors During the COVID-19 Pandemic in the Indian Apparel Supply Chain." International Journal of Information Systems and Supply Chain Management 15, no. 1 (January 2022): 1–24. http://dx.doi.org/10.4018/ijisscm.287133.
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The objective of this study is to explore the challenges faced by the Indian apparel supply chain in the wake of COVID-19 to identify the factors that are being affected and build a multilevel hierarchy model to prioritize the factors and understand their inter-relationships. An intensive literature review was conducted and many experts from apparel supply chain were consulted. The study was conducted by the help of a survey sent to these experts from different echelons in the apparel industry. The data was then analysed using Total Interpretive Structural Modelling (TISM). The “Difficulty in export order fulfilment” factor is found to be the most sensitive factor which means that it is present in the TISM model hierarchy in a place that it is affected by most of the factors and in-turn impacts factors like operational cost, change in marketing strategy, change in consumer buying pattern, which impact Profitability and Cut-off in employment. “Cut-off in employment” is found to be most impacted by all other factors in TISM model.
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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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Sindhwani, Rahul, and Vasdev Malhotra. "A framework to enhance agile manufacturing system." Benchmarking: An International Journal 24, no. 2 (March 6, 2017): 467–87. http://dx.doi.org/10.1108/bij-09-2015-0092.
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Purpose The purpose of this paper is to identify and analyze the interactions among different enablers of agile manufacturing system (AMS). The existing enablers available in the past literature are scattered and not able to meet specific requirements of the customers. So, it becomes a necessity to encapsulate these enablers in appropriate proportions to enable traditional organizations to AMS. To fill this gap total interpretive structural modeling (TISM) and MICMAC analysis-based framework model have been developed to understand the mutual interactions between among the enablers. Design/methodology/approach Identification of enablers followed by application of TISM, which is an innovative version of ISM and MICMAC analysis, is used to study and analyze the mutual interactions between identified enablers. Findings The result reveals that top management support, organizational structure and information technology integration have strong driving power and weak dependence power and are at the lowest level in the TISM model hierarchy, while the outcome enablers of AMS have low-driving power but have high-dependence power. Research limitations/implications This model is developed on the basis of inputs from few experts and may not reflect the opinion of whole industry community. Practical implications Top management must stress on enablers having strong driving power for efficient implementation of AMS. Managers in the area of manufacturing may drive useful insights from the empirical study presented in this paper. Managers should plan an effective strategy for proper implementation of AMS which makes organization more agile, productive, competitive and profitable. Originality/value TISM-based framework structural model has been proposed for industry or organization which is a new effort for implementation of AMS.
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Sushil, Surya Prakash Singh, and Aarti Singh. "Deriving the hierarchical relationship of factors of fly ash handling." Management of Environmental Quality: An International Journal 29, no. 3 (April 9, 2018): 444–55. http://dx.doi.org/10.1108/meq-12-2017-0171.
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Purpose The purpose of this paper is to develop a conceptual framework of fly ash (FA) handling by using the total interpretive structural modeling (TISM) technique in the Indian context. Design/methodology/approach The conceptual framework of the FA handling technique has been developed by using the TISM technique, where the FA handling factors have been identified from literature and verified by experts. Findings The conceptual framework of FA handling technique developed by using TISM contributes to the development of FA handling hierarchy. The framework identifies that there are 12 important factors which play a vital role in FA handling. The conceptual model indicates that particle size distribution derives FA handling technology. Research limitations/implications This study identified important factors for FA handling and it has implication for both organizations and policy makers. This study delivers the factors which play an important role in handling FA in a thermal power plant. This study highlights important linkages essential for the expansion of FA handling technologies and policies. Originality/value This study is unique in itself as it studies the FA handling factors through the qualitative modeling technique and has made its contribution in FA handling by providing the conceptual framework for managing FA in the thermal power plant.
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Mohanty, Mahamaya. "Assessing sustainable supply chain enablers using total interpretive structural modeling approach and fuzzy-MICMAC analysis." Management of Environmental Quality: An International Journal 29, no. 2 (March 12, 2018): 216–39. http://dx.doi.org/10.1108/meq-03-2017-0027.
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Purpose The purpose of this paper is to model the enablers of an integrated logistics. The integration is accounted for incorporating sustainability, thereby aiming in its theory building. Existing models have focused on enablers of sustainable supply chain independently which lacks a holistic view in understanding the integrated logistics for sustainable supply chain. Design/methodology/approach An extensive literature review, expert opinion from both industry and academia based on questionnaire survey, is conducted to find the relevant enablers. The modeling of these enablers is done using total interpretive structural modeling (TISM). Finally, TISM along with its respective fuzzy-matriced impact croises multiplication applique (fuzzy-MICMAC) analysis is depicted. Findings The result of the survey and TISM model with its respective fuzzy-MICMAC has been used to evolve the mutual relationships among the important enablers of integrated logistics of consumer durables. The strategic factors obtained from TISM are integration and collaboration in the supply chain, vehicle type, and capacity; reduction in average length of haul; and real-time information system. Route selection and scheduling, reduction of fuel consumption, customer relationship management, green technology, cost reduction, etc., are some of the operational factors. Sustainable environment performance is obtained as the performance factor. Fuzzy-MICMAC is more responsive than the traditional MICMAC analysis. Research limitations/implications The study has limitation for the development of a conceptual framework for integrated logistics in uncertain environments. So it can be extended by combining soft computing methodologies. There is a lack of mathematical quantification of the proposed model where the enablers of sustainability can be measured. Practical implications The study on integrated logistics for sustainable supply chain is itself a new area to be explored, as very few studies on this relevant topic exist. The research concentrates on TISM for the integrated logistics and the movement of consumer durables through different distribution channels of a supply chain. The study has implications for practitioners, academicians, and policy makers. For practitioners, it provides a list of strategic factors, operational factors, and performance factors. For academicians, this methodology can be opted to conduct an exploratory study by identifying the essential enablers. For policy makers, the regulations can be developed using the above model. Originality/value It is an effort to model the important enablers and establish sustainability in integrated logistics of consumer durables.
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Ruccolo, Serge, Michael Rauch, and Gerard Parkin. "Tris[(1-isopropylbenzimidazol-2-yl)dimethylsilyl]methyl metal complexes, [TismPriBenz]M: a new class of metallacarbatranes, isomerization to a tris(N-heterocyclic carbene) derivative, and evidence for an inverted ligand field." Chemical Science 8, no. 6 (2017): 4465–74. http://dx.doi.org/10.1039/c7sc00499k.
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D., Senthil Kumar, and S. Vinodh. "TISM for analysis of barriers affecting the adoption of lean concepts to electronics component manufacture." International Journal of Lean Six Sigma 11, no. 6 (March 27, 2020): 1141–73. http://dx.doi.org/10.1108/ijlss-09-2018-0100.
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Purpose The purpose of this paper is to present the analysis of barriers affecting the adoption of lean concepts to electrical and electronics component manufacturing. Design/methodology/approach Lean concepts are being increasingly applied by electrical and electronics component manufacturers to enhance product value through streamlined process. To facilitate smooth adoption of lean concepts, barriers need to be analyzed and prioritized. In this context, a structural model of 24 barriers is developed through total interpretive structural modeling (TISM) approach. Findings ‘Changing governmental policies,’ ‘poor selection of change agents and improvement teams,’ ‘lack of top management commitment understanding and support of the system,’ ‘lack of team autonomy,’ ‘lack of flexibility and versatility’ and ‘lack of customer focus/involvement’ are found to be the dominant barriers based on TISM study. Interpretation statements are being derived from TISM model. Cross-impact matrix multiplication applied to classification analysis is conducted. Research limitations/implications In the present paper, 24 barriers are considered. In future, additional barriers could be considered to deal with managerial advancements. Practical implications The paper reports the practical case of analysis of barriers to lean adoption in electronics component manufacture. Hence, the inferences have practical relevance. Originality/value The development of structural model for the analysis of barriers to lean implementation in electronics component manufacturing small- and medium-sized enterprises is the original contribution of the authors.
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Singh, Aarti, and Sushil. "Developing a conceptual framework of waste management in the organizational context." Management of Environmental Quality: An International Journal 28, no. 6 (September 11, 2017): 786–806. http://dx.doi.org/10.1108/meq-07-2016-0045.
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Purpose The purpose of this paper is to develop a conceptual framework of waste management by using total interpretive structural modeling (TISM) technique in the Indian organizational context. Design/methodology/approach TISM technique has been used to develop a conceptual framework of waste management in the organizational context, where the waste management factors have been identified and verified through content analysis. Findings The conceptual framework of waste management in the organization has been developed using TISM that contributes to the development of important links and the hierarchical relationships among the factors. In addition to it, the model also figures out the driving and dependent factors of waste management. Research limitations/implications This study has its implication for both organizations and policy makers. It provides the important factors for managing waste in the organization which must be considered before planning the waste management practice in an organization. For policy makers, it highlights the waste management paths and important linkages required for the development of waste management policies in the organizations. Originality/value This study has made its contribution by providing the conceptual framework for waste management in the Indian organizational context which has been developed through qualitative modeling technique. The conceptual framework also provides important paths of managing waste in the organization which is a new effort in the Indian organizational context.
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Sindhwani, Rahul, Varinder Kumar Mittal, Punj Lata Singh, Ankur Aggarwal, and Nishant Gautam. "Modelling and analysis of barriers affecting the implementation of lean green agile manufacturing system (LGAMS)." Benchmarking: An International Journal 26, no. 2 (March 4, 2019): 498–529. http://dx.doi.org/10.1108/bij-09-2017-0245.
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Purpose Many types of research have already investigated the lean, green or agile manufacturing systems in a discrete manner or as combinations of two of them. In today’s competitive scenario, if industry wants to perpetuate its name in the market, then it has to supervene proper thinking and smart approach. Therefore, the combination of lean, green and agile manufacturing systems can provide better and beneficial results. The purpose of this paper is to discern the barriers to the combined lean green agile manufacturing system (LGAMS), understand their interdependence and develop a framework to enhance LGAMS by using total interpretive structural modeling (TISM) and MICMAC (Matriced’ Impacts Croise’s Multiplication Appliquée a UN Classement) Analysis. Design/methodology/approach This paper uses TISM methodology and MICMAC analysis to deduce the interrelationships between the barriers and rank them accordingly. A total of 13 barriers have been identified through extensive literature review and discussion with experts. Findings An integrated LGAMS has been presented that balances the lean, green and agile paradigms and can help supply chains become more efficient, streamlined and sustainable. Barriers are identified while referring to all three strategies to showcase the clear relevance. TISM models the barriers in different levels showcasing direct and important transitive relations. Further, MICMAC analysis distributes the barriers in four clusters in accordance with their driving and dependence power. Research limitations/implications The inferences have been drawn from a model developed on the basis of inputs from a small fraction of the industry and academia and may show variations when considering the whole industry. Practical implications The outcome of this research can contribute to bringing the change to the manufacturing systems used in most developing nations. Also, top managers considering adoption of LGAMS can be cautious of the most influential barriers. Originality/value A TISM-based model of the barriers to an integrated LGAMS has been proposed with evaluation of the influence of the barriers.
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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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Agarwal, Alpana, and Prem Vrat. "A TISM Based Bionic Model of Organizational Excellence." Global Journal of Flexible Systems Management 16, no. 4 (September 22, 2015): 361–76. http://dx.doi.org/10.1007/s40171-015-0107-z.
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Virmani, Naveen, Rajeev Saha, and Rajeshwar Sahai. "Social implications of leagile manufacturing system: TISM approach." International Journal of Productivity and Quality Management 23, no. 4 (2018): 423. http://dx.doi.org/10.1504/ijpqm.2018.090265.
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Saha, Rajeev, Rajeshwar Sahai, and Naveen Virmani. "Social implications of leagile manufacturing system: TISM approach." International Journal of Productivity and Quality Management 23, no. 4 (2018): 423. http://dx.doi.org/10.1504/ijpqm.2018.10011185.
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Vaishnavi, V., M. Suresh, and Pankaj Dutta. "A study on the influence of factors associated with organizational readiness for change in healthcare organizations using TISM." Benchmarking: An International Journal 26, no. 4 (May 7, 2019): 1290–313. http://dx.doi.org/10.1108/bij-06-2018-0161.
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Purpose The purpose of this paper is to identify, analyze and develop a model to measure the interactions among different factors of organizational readiness for change in service sector specific to healthcare organization. The total interpretive structural modeling (TISM)-based readiness for change is to build a theoretical framework to understand the mutual interactions among the factors and to identify the driving and dependence power of these factors. Design/methodology/approach TISM is used to identify factors that contribute to analyze the readiness state before starting a change implementation process in healthcare. Matrice d’Impacts croises-multiplication applique´ a classement analysis is used to find the driving and dependent factors of change in healthcare. Findings This paper identified 12 factors of readiness for change from literature review followed by expert interview to understand the inner connection of factors and study inner relationships. The result says that state of affairs, recent trends in healthcare sector, technology advancement and interdependence among departments are key factors for readiness of change. Research limitations/implications This research mainly focused on readiness factors for change in the healthcare sector. Practical implications This study will be useful for researcher and practitioners to understand the readiness factors for change. Originality/value In this research work, TISM-based readiness for the change framework structural model has been proposed for healthcare organizations which is a new effort in the area of organizational change management in this sector.
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Varnum, B. C., R. W. Lim, D. A. Kujubu, S. J. Luner, S. E. Kaufman, J. S. Greenberger, J. C. Gasson, and H. R. Herschman. "Granulocyte-macrophage colony-stimulating factor and tetradecanoyl phorbol acetate induce a distinct, restricted subset of primary-response TIS genes in both proliferating and terminally differentiated myeloid cells." Molecular and Cellular Biology 9, no. 8 (August 1989): 3580–83. http://dx.doi.org/10.1128/mcb.9.8.3580-3583.1989.
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Induction of early-response genes (tetradecanoyl phorbol acetate [TPA]-induced sequences, or TIS genes; R.W. Lim, B.C. Varnum, and H.R. Herschman, Oncogene 1:263-270, 1987) by granulocyte-macrophage colony-stimulating factor (GM-CSF) and TPA was examined both in a factor-dependent murine cell line, 32D clone 3, and in mature human neutrophils. When GM-CSF-deprived 32D clone 3 cells were exposed to GM-CSF or to TPA, four TIS mRNAs (TIS7, TIS8, TIS10, and TIS11) were rapidly and transiently induced. However, neither GM-CSF nor TPA could induce accumulation of TIS1 mRNA in 32D clone 3 cells, even under superinducing conditions. Both GM-CSF and TPA also elicited rapid, transient expression of TIS8 and TIS11 mRNA in postmitotic human neutrophils. However, neither agent could induce accumulation of TIS1 mRNA in human neutrophils. TIS1 is a member of the nuclear receptor supergene family that codes for ligand-dependent transcription factors. Cell-type restriction of inducible transcription factors may contribute to developmental specification.
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Varnum, B. C., R. W. Lim, D. A. Kujubu, S. J. Luner, S. E. Kaufman, J. S. Greenberger, J. C. Gasson, and H. R. Herschman. "Granulocyte-macrophage colony-stimulating factor and tetradecanoyl phorbol acetate induce a distinct, restricted subset of primary-response TIS genes in both proliferating and terminally differentiated myeloid cells." Molecular and Cellular Biology 9, no. 8 (August 1989): 3580–83. http://dx.doi.org/10.1128/mcb.9.8.3580.
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Induction of early-response genes (tetradecanoyl phorbol acetate [TPA]-induced sequences, or TIS genes; R.W. Lim, B.C. Varnum, and H.R. Herschman, Oncogene 1:263-270, 1987) by granulocyte-macrophage colony-stimulating factor (GM-CSF) and TPA was examined both in a factor-dependent murine cell line, 32D clone 3, and in mature human neutrophils. When GM-CSF-deprived 32D clone 3 cells were exposed to GM-CSF or to TPA, four TIS mRNAs (TIS7, TIS8, TIS10, and TIS11) were rapidly and transiently induced. However, neither GM-CSF nor TPA could induce accumulation of TIS1 mRNA in 32D clone 3 cells, even under superinducing conditions. Both GM-CSF and TPA also elicited rapid, transient expression of TIS8 and TIS11 mRNA in postmitotic human neutrophils. However, neither agent could induce accumulation of TIS1 mRNA in human neutrophils. TIS1 is a member of the nuclear receptor supergene family that codes for ligand-dependent transcription factors. Cell-type restriction of inducible transcription factors may contribute to developmental specification.
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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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Biswas, Pallab. "Modeling reconfigurability in supply chains using total interpretive structural modeling." Journal of Advances in Management Research 14, no. 2 (May 8, 2017): 194–221. http://dx.doi.org/10.1108/jamr-09-2016-0071.
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Purpose The purpose of this paper is to identify, analyze, and categorize the major enablers of reconfigurability that can facilitate structural changes within a supply chain in a global scenario. The paper also addresses five reconfigurability dimensions in the perspective of supply chains and the major enablers to attain them. The paper further aims to understand the mutual interactions among these enablers through the identification of hierarchical relationships among them. Design/methodology/approach A framework that holistically considers all the major enablers of reconfigurability has been developed. The hierarchical interrelationships between major enablers have been presented and interpreted using a novel qualitative modeling technique, i.e., total interpretive structural modeling (TISM), which is an extension of ISM. SPSS 22.0 is employed to carry out a one-tailed one-sample t-test further to test the hypotheses for validating the results of TISM. Impact matrix cross-reference multiplication applied to a classification (MICMAC) analysis has been employed to identify the driving and dependence powers of these reconfigurability enablers. Findings In this paper, 15 enablers for reconfigurability paradigm have been identified through literature review and expert opinions. The authors established interrelationships and interdependencies among these enablers and categorized them as enablers of each dimension. New product development and customer satisfaction come at the highest level of priority. The levels of these enablers were obtained using TISM. The authors compared the results with the clusters derived from MICMAC analysis, and the results are found to be well within the acceptable range. Research limitations/implications The study has implications for both practitioners and academia. The work provides a comprehensive list of enablers that are relevant to reconfigure supply chains in today’s volatile global market. This research will also help decision makers to strategically focus on the top-level enablers and their concerned dimensions. The research is based on an automobile company case study and can be extended to products with volatile and changing demands. Originality/value The proposed model for reconfigurability enablers using TISM is a new effort altogether in the area of supply chain management. The novelty of this research lies in its identification of specific enablers to reconfigure a supply chain through different dimensions.
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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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Solke, Nitin Sharadchandra, and Tejinder Paul Singh. "Lean Enhancement by Application of Total Interpretive Structural Modelling." International Journal of Social Ecology and Sustainable Development 13, no. 1 (January 2022): 1–15. http://dx.doi.org/10.4018/ijsesd.293252.
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Prioritizing of factors for effective lean manufacturing poses a challenge to management due to complexities in interrelationships. Diligent understanding of measures of lean manufacturing assumes great importance. Essential manufacturing flexibilities take care of uncertainties driven by dynamics of the market. Interrelationship between factors of manufacturing flexibility and lean manufacturing adds to complexity. Judicious analysis of these factors is imperative to understand their effect on lean manufacturing. Total interpretive structural modeling methodology is used for establishing relationships among the factors affecting lean performance. Case studies have been carried out and TISM is applied to understand the dynamism of factors. Study brings out how the organization of the companies and level of automation help in understating the driving and dependence power. The study helps in understanding the influence of hierarchy and level of factors identified by TISM technique on lean performance as also the factors which merit attention of top management to achieve better results
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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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Nandi, Biswajit, Pamela Chelme-Ayala, Mark Loewen, and Mohamed Gamal El-Din. "A new compartmental model for describing the mixing behaviour in a multi-transversal jet reactor." Canadian Journal of Civil Engineering 45, no. 2 (February 2018): 125–34. http://dx.doi.org/10.1139/cjce-2017-0284.
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The axial dispersion model (ADM) and tank-in-series model (TiSM) are conventionally used for determining mixing performance of a reactor, which is generated by transverse jets in many engineering applications. The effect of transverse jets on the mixing performance is not well determined by the ADM and TiSM when the Reynolds number of the mainstream flow is higher than ∼104. In this study, this problem was solved by a dispersive compartmental model (DCM). The DCM was a modification of the conventional compartmental model by adding a dispersive nature of plug flow compartment. The results of a series of tracer studies showed that the experimental data were better matched by the DCM than by the conventional models. The effect of transverse jets on the mixing characteristics was significant when the experimental data were modelled by the DCM. The DCM could be used for practical reactors where the E-curve shows a single peak.
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Deshmukh, Arun Kumar, and Ashutosh Mohan. "Analysis of Indian retail demand chain using total interpretive modeling." Journal of Modelling in Management 12, no. 3 (August 14, 2017): 322–48. http://dx.doi.org/10.1108/jm2-12-2015-0101.
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Purpose The study aims to present demand chain management (DCM) modeling of Indian apparel retailers. This will result in a structured model presenting contextual interrelationship among DCM variables so that retailers can proactively manage their demand chain. Design/methodology/approach The research follows an exploratory research design. It initially involves identification and analysis of influential factors of the implementation of DCM practices through the review of literature. Then, these variables were analyzed using total interpretive structural modeling or TISM followed by a statistical verification and case-based validation of the model. Findings The major findings of the paper are: top-management commitment and support, information management and supply chain agility in supply chain are the most significant enablers with the highest driving power. The other apparel retail specific significant variables are assortment planning, category management and marketing orientation. The model also indicates that the firms that implement customer-centric DCM practices do well in terms of organizational performance and thereby achieve differential advantage over their competitors. Research limitations/implications Because the literature on DCM is still in nascent stage, the study bases itself on interpretive method; that is, TISM of analysis with a limited number of experts. Future studies may consider larger sample with more advanced statistical tools such as structural equation modeling for further validation of the findings. Originality/value The novelty of the paper lies in the study of an emerging supply chain philosophy; that is, DCM and its key practices per se. It has rarely been studied from the theory building perspective hitherto. Moreover, TISM-based approach is applied for the first time to study the DCM practices and its drivers vis-à-vis dependents.
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Bindra, Sunali, Deepika Sharma, Bhumika Achhnani, Hari Govind Mishra, and Viput Ongsakul. "Critical factors for knowledge management implementation: a TISM validation." J. for International Business and Entrepreneurship Development 14, no. 1 (2022): 125. http://dx.doi.org/10.1504/jibed.2022.124244.
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Mohanty, Mahamaya, and Ravi Shankar. "Modelling uncertainty in sustainable integrated logistics using Fuzzy-TISM." Transportation Research Part D: Transport and Environment 53 (June 2017): 471–91. http://dx.doi.org/10.1016/j.trd.2017.04.034.
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Suresh, M., Edrion Chacko, and Aswathy Sreenivasan. "Factors influencing Agility on Start-ups: A TISM approach." International Journal of Agile Systems and Management 16, no. 1 (2023): 1. http://dx.doi.org/10.1504/ijasm.2023.10054295.
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Chacko, Edrion, M. Suresh, and Aswathy Sreenivasan. "Factors influencing agility on start-ups: a TISM approach." International Journal of Agile Systems and Management 16, no. 1 (2023): 25. http://dx.doi.org/10.1504/ijasm.2023.130480.
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Swarnakar, Vikas, Anil Kr Tiwari, and A. R. Singh. "Evaluating critical failure factors for implementing sustainable lean six sigma framework in manufacturing organization." International Journal of Lean Six Sigma 11, no. 6 (April 10, 2020): 1083–118. http://dx.doi.org/10.1108/ijlss-05-2019-0050.
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Purpose The purpose of this study is to identify, evaluate and develop a structured model to measure the interrelation between critical failure factors (CFFs) that affects the implementation of the sustainable Lean Six Sigma (SLSS) framework in a manufacturing organization. Further solution approaches have been provided that inhibit those CFFs and help in successful implementation of the framework. Design/methodology/approach To find the interrelation among the selected CFFs and develop a systematic structured model, a total interpretive structural modeling (TISM) approach has been used. A 13-level model for selected CFFs has been formed after the application of the TISM approach. Further classification of CFFs has been performed for a better understanding of their nature through MICMAC analysis. Findings A total of 26 SLSS CFFs have been identified through a detailed study of case organization, various literature reviews and experience of panel experts toward developing a systematic model of CFFs. The solution approach has been provided by panel experts based on their industrial experiences after observing the role of CFFs in the developed model. Based on the analysis, it was found that most dependent and dominant CFFs affect the implementation of the SLSS framework in the case organization. Practical implications This study helps SLSS practitioners, project managers, decision-makers and academicians of manufacturing industries to a better understanding of the failure factors and their interrelations while implementing the SLSS framework in manufacturing organizations. This study also guides the systematic solution approach which helps in tackling such problems that occurred in manufacturing organizations. Originality/value In this study, the TISM-based structural model of CFFs for implementing the SLSS framework in manufacturing organizations has been proposed which is a very new effort in the area of a manufacturing environment.
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Sharma, Garima, and Pravin Kumar. "An Analysis of Causal Relationships Among the Factors Affecting the Performance of a Service Organization." SAGE Open 11, no. 1 (January 2021): 215824402199939. http://dx.doi.org/10.1177/2158244021999394.
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In the present scenario, services have the largest domination in consumers’ lives and constitute a large part of the world economy. The researchers and practitioners have given limited research attention to transformative consumer research which affects consumer well-being. In this study, a causal relationship among the factors influencing the performance of an organization providing the transformative services has been analyzed using total interpretive structural modeling (TISM). The factors influencing the services have been identified through the literature review. After identifying the factors, TISM has been used to interpret the direct as well as significant transitive linkages among the factors. The empirical results suggest that top management plays a big role in consumer well-being along with the welfare of society. Devotion toward the well-being of the broader level of society depends on the top management’s commitment toward corporate social responsibility and respect for the rule of laws. These are the major factors influencing the performance of the organization other than employee satisfaction, excellent service quality, use of information technology and e-commerce, and so on.
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Hasan, Zuby, Nakul Parameswar, and Viput Ongsakul. "Multilevel analysis of factors influencing innovation through m-TISM approach." J. for International Business and Entrepreneurship Development 14, no. 1 (2022): 72. http://dx.doi.org/10.1504/jibed.2022.124246.
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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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Pookkaman, Weerapat, and Taweesak Samanchuen. "An Innovation Framework of Medical Organic Cannabis Traceability in Digital Supply Chain." Journal of Open Innovation: Technology, Market, and Complexity 8, no. 4 (October 31, 2022): 196. http://dx.doi.org/10.3390/joitmc8040196.
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Cannabis is increasingly accepted by medical organizations for medicinal and research purposes. A traceability system is required for monitoring and controlling the use of cannabis. This work aimed to investigate the relationship between critical success factors (CSFs) for creating the innovation framework that affects the implementation of the cannabis traceability system. These factors are identified based on the digital supply chain by structural modeling. Additionally, the issue of patients’ safety is a crucial factor that needs to be considered. Total Interpretive Structural Modeling (TISM) and fuzzy MICMAC analysis techniques were applied to investigate the relationship between CSFs. Finally, the 14 CSFs affecting cannabis traceability systems were determined. The research results discovered that system reliability is the most significant key factor with the greatest influence and contribution to the achievement. The five CSFs based on TISM comprise harmonized strategic orientation, inter-organization collaboration, standardization, government regulations, and customer awareness. According to the conclusive dependence–driving power diagram, they have the most driving power in the implementation and operation traceability system. The innovation framework helps to establish the traceability system in a way that works well. This will build trust in the supply chain and prevent abuse and substandard products.
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Khan, Ayaz, Rongrong Yu, Tingting Liu, Hong Guan, and Erwin Oh. "Drivers towards Adopting Modular Integrated Construction for Affordable Sustainable Housing: A Total Interpretive Structural Modelling (TISM) Method." Buildings 12, no. 5 (May 10, 2022): 637. http://dx.doi.org/10.3390/buildings12050637.
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This study features the development of a framework to identify drivers towards increasing adoption of modular integrated construction (MiC) methods for affordable sustainable housing (ASH). The rise of offsite construction (OSC) techniques, especially MiC, has been evident in recent years. MiC’s adoption in ASH is still underdeveloped; however, due to various benefits of MiC over conventional construction methods, it is envisioned to be a significant emerging approach for tackling growing housing demand, and ASH in particular. Although a few prior studies identified some factors for utilization of MiC towards ASH, studies to date have not provided a holistic review of drivers or a comprehensive framework of the interrelationships between such drivers. To address this issue, this study utilizes a three-way process including a systematic literature review, semi-structured interviews and the Total Interpretive Structure Modelling (TISM) method to study the drivers for MiC adoption in ASH. Initially, 111 drivers were extracted from a review of 40 studies in the existing literature. Following that, the significant drivers of MiC adoption for ASH were grouped into cost, time, productivity, quality, environmental, social, policy and demand. Drawing on concepts of systems thinking and graph theory, the TISM model for eight drivers was developed from both the literature review and the interview results. Four levels of hierarchy were found among drivers containing linkage, driving, depending and autonomous. Succeeding the steps of TISM and Reachability Matrix (RM) and Matrice d’ Impacts Croises-Multipication Appliqué a Classement (MICMAC) analysis, social drivers were found to have the highest driving and lowest dependency power, followed by productivity and policy drivers. This signifies the importance of social factors for enhancing MiC adoption for ASH. In addition, a strategic framework of boosting MiC adoption in ASH is also presented, highlighting the key stakeholders and strategies for transformation along with conclusions. This study delivers a wider landscape of drivers for MiC-ASH synergy that may assist practitioners, policy makers and relevant stakeholders to better understand the relationships between the drivers.
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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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Sushil, Sushil. "Interpretive multi-criteria valuation of flexibility initiatives on direct value chain." Benchmarking: An International Journal 25, no. 9 (November 29, 2018): 3720–42. http://dx.doi.org/10.1108/bij-03-2018-0057.
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Purpose Activities on direct value chain directly add value to the products/services delivered to the customers. This value addition can be further enhanced by taking up flexibility initiatives on these direct value chain activities. The purpose of this paper is to identify flexibility initiatives on the direct value chain and carry out their valuation. Design/methodology/approach Since different value addition criteria (i.e. benefits and costs) may be both tangible and intangible, an interpretive valuation based on multi-criteria framework would be desirable. The paper deploys the efficient interpretive ranking process (IRP) for this purpose. It uses total interpretive structural modeling (TISM) to derive weights of criteria based on their respective driving power. The paper also makes a methodological contribution to assess transitive dominance in IRP based on transitivity check as used in the modified TISM process. Findings The paper uses a multi-criteria valuation to examine the proposition that the flexibility initiatives will add a higher value as we go downstream in the value chain. The flexibility initiatives linked with marketing such as product upgradation and switching, customized services and dynamic pricing are found to be most value adding in character. Research limitations/implications The main limitation of this study is that it is generic in nature and need to be replicated in multiple case situations. The methodology proposed can be utilized for specific case analysis for flexibility valuation on the direct value chain. Practical implications The practitioners may be able to use the proposed method of TISM–IRP with improvements in real-life applications. The proposed multi-criteria valuation is interpretive in nature and can be utilized by practicing managers in group settings even if they do not have complete data. Originality/value The strategy and operations researchers will find promise in the methodology to investigate and prioritize the initiatives planned to enhance flexibility in different value chain activities. The researchers on multi-criteria decision making will find the methodological enhancement proposed in terms of graphically deriving the transitive dominance to be useful in other applications as well.
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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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Dhir, Sanjay, Tran Khoa, and Mukesh Jain. "TISM modelling of social enterprise ecosystem: a study in Indian context." J. for Global Business Advancement 13, no. 5 (2020): 665. http://dx.doi.org/10.1504/jgba.2020.10035196.
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Butnaru, Denisa. "Body schema(tism) and the logos of life: a phenomenological reconsideration." Investigaciones Fenomenológicas, no. 4-I (January 15, 2014): 55. http://dx.doi.org/10.5944/rif.4-i.2013.29738.
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Body image and body schema are two phenomenological concepts which generated a revival of Maurice Merleau-Ponty’s philosophical heritage. In the present text I intend to inquire on the relation between these two concepts and that of Logos of life, another challenging point in the Merleau-Pontyan thought.In order to delineate the correlation between body schema, body image and my understanding of a logic of life, I will first explore how what I term “schematism of the body” is connected to an inherent model of life and living and how this schematism is reflected in the body image. I will turn further to the relation between body and world and highlight how the life of the body defines itself as meaningful in the context of both the surrounding world (Umwelt) and the lifeworld (Lebenswelt). In a third part of my analysis I shall point out how the relation between body schematism and motile intentionality redefines corporeal inten-tionality. I shall conclude by noting the role of the Logos of life, through which corporeity, in its position of meaning project, is instituted as body schematism.Los conceptos fenomenológicos de imagen corporal y esquema corporal han dado lugar a un resurgimiento del legado filosófico de Maurice Merleau-Ponty. En este texto pretendo investigar la relación entre estos dos conceptos y el de Logos de la vida, otro elemento estimulante del pensamiento Merleau-Pontiano.Con el fin de trazar la correlación entre es-quema corporal, imagen corporal y mi interpretación de la lógica de la vida, exploraré en pri-mer lugar cómo el término “esquematismo del cuerpo” está conectado con un modelo inheren-te de vida y de vivir, y cómo este esquematis-mo se refleja en la imagen corporal. Consideraré después la relación entre cuerpo y mundo y remarcaré cómo la vida del cuerpo se define como significativa en el contexto tanto del mundo circundante (Umwelt) como del mundo de la vida (Lebenswelt). En la tercera parte de mi análisis señalaré cómo la relación entre esquematismo corporal e intencionalidad moto-ra redefine la intencionalidad corporal. Concluiré destacando el papel del Logos de la vida, a través del cual la corporeidad, en su posición de proyecto significativo, se instituye como esquematismo corpora
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Jain, Mukesh, Sanjay Dhir, and Tran Khoa. "TISM modelling of social enterprise ecosystem: a study in Indian context." J. for Global Business Advancement 13, no. 5 (2020): 665. http://dx.doi.org/10.1504/jgba.2020.112820.
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Jain, Vineet, and Puneeta Ajmera. "Modelling the barriers of Industry 4.0 in India using fuzzy TISM." International Journal of Business Performance Management 23, no. 4 (2022): 347. http://dx.doi.org/10.1504/ijbpm.2022.10050338.
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Jain, Vineet, and Puneeta Ajmera. "Modelling the barriers of Industry 4.0 in India using fuzzy TISM." International Journal of Business Performance Management 23, no. 4 (2022): 347. http://dx.doi.org/10.1504/ijbpm.2022.126213.
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