A q-ROF Based Intelligent Framework for Exploring the Interface Among the Variables of Culture Shock and Adoption Toward Organizational Effectiveness

Nowadays, Culture shock is very much common to work life and this is an important issue in identification of the variables to develop morale of the employees towards an aim to increase productivity. The term ‘cultural shock’ refers the emotional state of uncertainty, confusion, anxiety that people may experience when transforming to a new state of affairs or feeling a new work culture or social status. So, it happens when an individual is censored from acquainted surroundings and culture after transferring to a new environment. It brings the logic that Culture shock tends to mean a bustle of emotions, including excitement, emotional labor, job stress, and job satisfaction and helplessness. Social scientists are of the opinion that culture shock is treated as ‘mental illness’ as common men are suffering as they are distracted from the cultural environment. In this context, it is pertinent to identify the impact of cultural shock during the pandemic time especially in the service sector management as people are constrained to work from home and that is also to some extent detrimental to their mental health. In this present study, the researchers are trying to explore the possible attributes that are responsible for cultural shock and also try to measure the possible impact of the same. This study will provide a working model for the stakeholders to frame a strategy to get rid of the crisis and develop an employee retention policy with respect to stress coping behavior as well, in the days of New Normal. The study is essentially focused on tech-based gaming industry. The present chapter proposes a new q-Rung Orthopair Fuzzy (qROF) based computational intelligence framework of psychological assessment. The procedural steps of forced field analysis (FFA) is followed in this chapter wherein Level Based Weight Assessment (LBWA) is applied for calculating the weights of the attributes. Further, it carries out stability analysis of the results obtained. Finally, it puts forth policy recommendations for formulating effective employee motivation and retention strategy.