Modelling of factors influencing organizational readiness for change in start-ups during the COVID-19 emergency

Abstract

Purpose The purpose of this paper is to “identify”, “analyze” and “construct” a framework to quantify the relationships between several determinants of organizational preparedness for change in the start-ups during the COVID-19 emergencies. Design/methodology/approach Total interpretive structural modelling (TISM) is used to find characteristics that assist in analyzing the readiness or preparedness level before initiating a change deployment process in start-ups. A cross-impact matrix multiplication applied to classification (MICMAC) analysis is performed to determine the driving and dependent elements of change in start-ups. Findings From literature research and an expert interview, this study selected ten variables of change preparedness to explore inner interconnections and comprehend the inner connections factors. The findings depict that clarity of mission and goals, reward system, technological advancement and motivational readiness have been considered the most important readiness factor for deploying organizational change in start-ups during the COVID-19 emergencies. Practical implications This research will aid the management and researchers gain a better understanding of the factors that influence change preparedness. Constant observation of current changes in the start-ups and the external environment will aid in improving the quality of products or services provided by the start-ups during the COVID-19. The start-ups can use these criteria linked to change readiness. The priority of each element is determined using MICMAC analysis and ranking using the TISM technique, which assists start-ups in ordering the enablers from highest to lowest priority. Originality/value There is no research regarding factors influencing organizational readiness for change in start-ups during the COVID-19 emergencies. This research gap is filled by analyzing aspects linked to organizational readiness for change in start-ups. This gap inspired the present study, which uses the “Total Interpretive Structural Modelling (TISM)” technique to uncover change determinants and investigate hierarchical interconnections among factors influencing organizational readiness to change in start-ups during the COVID-19 emergencies.

Guest editorial: Modelling the business and societal decisions under the impact of COVID-19

“…Also, data science and mining-based technological applications to analyse the business models during COVID-19 outbreak are expected in future. Further the model and findings of Sreenivasan and Suresh (2022) could be useful for the unicorn start-ups, MSMEs and public ventures to come up with new business models responding to COVID-19. The social organizations, strategists, economists, policymakers and entrepreneurs are expected to refer to presented research models and extend it by sharing their experiences.…”

“…The opportunities are explored by various start-ups; therefore, the organization must get ready for the structural changes during and post-pandemic. Sreenivasan and Suresh (2022) presented a framework to quantify relationships among various determinants of organizational readiness towards change in start-up businesses during emergencies. The TISM-MICMAC-based integrated method has identified the clarity of mission and goals, reward system, technological advancement and motivation as factors to be considered.…”

“…If yes, can we test and validate different business scenarios through simulation modelling before its actual implementation? The authorwise listing of papers cited hereafter is as follows: first: Thakkar et al (2022); second: Toumi et al (2022); third: Bhide and Akarte (2022); fourth: Wang et al (2022); fifth: Singh and Sharma (2022); sixth: Sreenivasan and Suresh (2022); seventh: Vimal et al (2022); eighth: Trivedi et al (2022); and ninth: Kumar et al (2022).…”

Factors Affecting Maintenance in Hazardous Work Environments

“…The FRM was created via the transitivity check and this is the fourth step of TISM (Sreenivasan and Suresh, 2022). Table 3 contains the FRM.…”