Total Interpretive Structural Modeling of Emotional Intelligence at Workplace

2015 ◽  
Vol 2 (2) ◽  
pp. 1-19
Author(s):  
Irameet Kaur ◽  
Charu Shri
Keyword(s):  
Emotional Intelligence ◽  
Performance Management ◽  
Work Stress ◽  
Structural Modelling ◽  
Workplace Relationships ◽  
Critical Importance ◽  
Interpretive Structural Modeling ◽  
Efficient Management ◽  
Decision Making Processes ◽  
Total Interpretive Structural Modelling

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.

Lean Enhancement by Application of Total Interpretive Structural Modelling

2022 ◽  
Vol 13 (1) ◽  
pp. 0-0
Keyword(s):  
Case Studies ◽  
Lean Manufacturing ◽  
Structural Modeling ◽  
Manufacturing Flexibility ◽  
Structural Modelling ◽  
Interpretive Structural Modeling ◽  
Factors Affecting ◽  
Modeling Methodology ◽  
Level Of Automation ◽  
Total Interpretive Structural Modelling

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

What drives organisational performance: strategic thinking, technological change, strategic risks? A modified total interpretive structural modelling approach and MICMAC analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aqueeb Sohail Shaik ◽  
Sanjay Dhir
Keyword(s):  
Technological Change ◽  
Strategic Thinking ◽  
Structural Modelling ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Interpretive Structural Modelling ◽  
Strategic Risk ◽  
Micmac Analysis ◽  
Total Interpretive Structural Modelling

Purpose The purpose of this study is to explain the interrelationships between the elements of strategic thinking, technological change and strategic risks. The main objective of this research is to identify the hierarchy for the elements of thinking, technological change and strategic risk and also to identify the driving powers of these elements. Design/methodology/approach The methodology used in this study is modified total interpretive structural modelling and MICMAC analysis which gives the interrelationships and also the driving powers of the elements by analysing the relationships between the elements from the existing literature. This method helps us in answering/understanding the “what”, “how” and “why” of the research. Modified total Interpretive structural modeling is considered in this study, which helps in doing both the paired comparisons and transitivity checks simultaneously. A digraph is constructed at the end of the analysis, which shows the links between the elements, and a driver dependence matrix is constructed, which shows the driving powers. Findings This study gives an understanding of the role of the elements, the relationships between them and the hierarchy of addressing these elements, and also the driving and dependence power. Findings of this research give us an understanding of how strategic thinking/technological change/strategic drives the performance of the firm. Research limitations/implications This study is conducted with the help of existing literature; this can be further extended by considering the expert opinion. Practical implications The model explains the direct and transitive links of the elements and the strength of the relation between them, which helps the researchers and the practitioners to understand the driving power and importance of these constructs. It also helps us to understand the role of these elements and, if implemented in an organisation, which elements need to be prioritised for enhancing the performance of the firm. Originality/value Research done in the past has individually analysed the elements effecting strategic thinking; this study identifies the relationships between the elements of all three constructs and helps in understanding the levels of hierarchy.

Element-Level Optimization Module for Bridge Planning and Programming

2021 ◽  
pp. 036119812110413
Author(s):  
Karim Naji ◽  
Erin Santini-Bell ◽  
Kyle Kwiatkowski
Keyword(s):  
Multiobjective Optimization ◽  
Performance Management ◽  
Element Level ◽  
Screening Process ◽  
Predicting Performance ◽  
Asset Class ◽  
Decision Making Processes ◽  
Short And Long Term ◽  
Optimization Methodology ◽  
And Performance

The overall objective of this research is to support state departments of transportation with their decision-making processes and transitions to performance management and performance-based planning and programming mandated by the Moving Ahead for Progress in the 21st Century Act. Accomplishing this objective requires a systematic multiobjective optimization methodology. This research proposes such a methodology, referred to as an “element-based multiobjective optimization” (EB-MOO) methodology, which produces optimal or near-optimal sets of short- and long-term intervention strategies detailed at the bridge element level for planning and programming. The methodology currently focuses on the bridge asset class and consists of five modules: (1) data processing, (2) improvement, (3) element-level optimization (ELO), (4) bridge-level optimization (BLO), and (5) network-level optimization (NLO) modules. This paper details the ELO module, specifically: the basic framework of underlying processes and concepts, the alternative feasibility screening process, optimization problem types and mathematical formulations, and the heuristic algorithm used to solve the ELO problems. The paper also includes an illustrative example using a prototyping tool developed to implement EB-MOO methodology. The example presents several ELO problems under unconstrained scenarios. The implementation demonstrated the module’s capability in producing optimal or near-optimal ELO solutions, recommending element intervention actions, predicting performance, and determining funding requirements for the specified improvement type and program year. The broader EB-MOO methodology uses the ELO results as inputs for the BLO and NLO modules.

scholarly journals The Impact of Emotional Intelligence on Work Stress (Applied Study: Al-Ajami Educational Administration)

OALib ◽  
2021 ◽  
Vol 08 (10) ◽  
pp. 1-16
Author(s):  
Omneya Eid Amin Hussain ◽  
Mohamed Abdel Salam Ragheb ◽  
Abdel-Nasser Ghanem ◽  
Ayman Ahmed Ragab
Keyword(s):  
Emotional Intelligence ◽  
Work Stress ◽  
Educational Administration ◽  
Applied Study ◽  
The Impact

Competences of successors of the modern family businesses

2018 ◽  
Vol 46 (1) ◽  
pp. 9-18
Author(s):  
Dr Mariola Dźwigoł-Barosz
Keyword(s):  
Emotional Intelligence ◽  
Leadership Competencies ◽  
Family Businesses ◽  
Significant Part ◽  
Third Generation ◽  
The Third ◽  
Efficient Management ◽  
Modern Family ◽  
The Creation

Experience shows that 50 percent of family businesses will cope with the succes-sion-related problems, and only 15 percent will cope with transferring the company to the third generation. The article pre- sents the issues related to the competencies of the successors of the modern family com-panies, and in particular, the importance of leadership competencies. The Author empha-sises the role of emotional intelligence, which is a significant part of the successor’s com-petencies and the competencies related to education and socialisation. These considera-tions are complemented with the creation of a profile of successors’ competencies that condition efficient management of the modern family companies, which has been devel-oped on the basis of the studies cited by the authors and the results of the Author’s own studies.

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