Total interpretive structural modelling (TISM) of strategic performance management for Indian telecom service providers

Author(s):  
Neetu Yadav
Author(s):  
Irameet Kaur ◽  
Charu Shri

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nishtha Agarwal ◽  
Nitin Seth

PurposeThe study tries to identify the barriers influencing supply chain resilience and examine the inter-relationships between them. These relationships are built on the basis of how one barrier drives or is driven by the changes in another barriers.Design/methodology/approachIn the first phase, literature review and with due discussion with experts, the barriers have been identified and shortlisted for an Indian automotive case company. In the second phase, total interpretive structural modelling (TISM) has been applied to examine inter-relationships between the barriers for an Indian automobile case company. Matrice d'impacts croisés multiplication appliquée á un classment (MICMAC) analysis has also been performed to analyse the driving and dependence power of the barriers.FindingsIn total, 11 barriers are identified from the first phase of the study. In the second phase, the TISM digraph is created which qualitatively explains the reason behind how one barrier leads to another. MICMAC analysis classifies these variables in four clusters namely autonomous, linkage, dependent and independent. These clusters characterise the barriers based on their driving and dependent power which helps managers in strategically tackling them while taking understanding from the TISM digraph.Research limitations/implicationsThree research implications can be made from the study. First, a comprehensive definition of supply chain which helps in understanding of resilience based on disruption phases and recovery. Second, 11 barriers are identified which hinder resilience in automotive sector. Their relationships are modelled using TISM which also gives why a particular relationship exists. Last, MICMAC analysis classifies barriers based on how high or low the driving and dependence power exists.Practical implicationsThe study offers significant implications for supply chain managers helping them in building resilience by identifying barriers and reducing their effect. Barriers are identified for case company which might help managers to tackle them during disruptions. The final TISM digraph depicts the “why” between the inter-relationships between the barriers to resilient supply chains. TISM shows that non-commitment of top management is the major root barrier which has been causing the other problems. MICMAC analysis is also performed along with discussion as to how autonomous, linkage, dependent and independent barriers can be tackled to build resilience.Originality/valueTISM is considered as an effective methodology for conceptual framework development as it also explains “why” between the relationships besides explaining the “what” as against ISM. Identification and understanding of barriers and their interrelationship will help supply chain managers to analyse the influence and inter-dependence of barriers on the resilience of the supply chain. Such understanding will help in mitigating/averting these barriers hence improving the resilience capability. It also adds to the knowledge base in the area of supply chain resilience where several authors have pointed the lack of research.


Author(s):  
Amrita Jhawar ◽  
S. K. Garg

Improving logistics performance is at the essential of policies to strengthen competitiveness and to boost trade integration. The purpose of this article is to identify the factors which will lead to improvement in the logistics performance for a developing country like India, using interpretive structural modelling (ISM). This research presents a framework and the mutual relationships among the factors identified for improving the logistics performance. The identified factors were clustered according to their driving power and dependence power. Investment by government and investment by logistics service providers are the two factors at the bottom level of the hierarchy, implying that developing countries need to focus on high investments for improving logistics performance. Improvement in logistics performance will improve the competitiveness of organizations and higher profits, leading to improvement in foreign direct investment and economic growth in the long run.


Sign in / Sign up

Export Citation Format

Share Document