TURNOVER INTENTION MODEL DEVELOPMENT IN DIGITAL STARTUP WORKERS

The development of digital startups is in line with the growth of digital entrepreneurship that are increasingly stretching in Indonesia. One phenomenon related to the aspects of human resources in the context of digital startups is the high level of employee turnover. This problem results in costs...

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Bibliographic Details
Main Author: Adiib Al-haq, Bagus
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/53497
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:The development of digital startups is in line with the growth of digital entrepreneurship that are increasingly stretching in Indonesia. One phenomenon related to the aspects of human resources in the context of digital startups is the high level of employee turnover. This problem results in costs incurred by the organization to recruit and train new workers. The sustainability of digital startups thus needs to be supported by the existence of workers who not only have innovative skills but also commitments to continue working with the organization. This study seeks to develop a model that can describe the factors that influence the desire of digital startup workers to decide to stop and move work. Factors directly involved in this study are work exhaustion, organizational commitment, job satisfaction, and pay satisfaction. The survey was conducted through distributing questionnaires to digital startup workers. The data obtained were 219 samples and then processed using the Structural Equation Model (SEM) approach. The results showed that pay satisfaction is the variable with the most significant influence on turnover intention, followed by job satisfaction and work exhaustion. Job satisfaction is also strongly influenced by pay satisfaction. Work exhaustion is influenced by the low level of work overload and work-family conflict. Meanwhile, the organizational commitment variable has no influence on turnover intention. Although significantly affected by work exhaustion and pay satisfaction. Research also proves the effect of perceived work overload on work-family conflicts.