Limiting the double life : a predictive model of attrition based on changes in moonlighting policy / Anamika Sinha, Namita Mangla.

Format:

Book

Author/Creator:

Sinha, Anamika, author.

Mangla, Namita, author.

Series:

SAGE business cases.

SAGE business cases

Language:

English

Subjects (All):

Supplementary employment--Case studies.

Supplementary employment.

Employee retention--Case studies.

Employee retention.

Physical Description:

1 online resource : illustrations.

Place of Publication:

London : SAGE Publications: SAGE Business Cases Originals, 2026.

Summary:

In the post-COVID-19 era, moonlighting-a practice where employees seek secondary employment during their free time-has become increasingly prevalent. Fueled by the digitalization of work and income disparities, individuals are exploring new income-generating opportunities by moonlighting and multi-jobbing. Numerous online freelance platforms and applications support this trend, enabling people to meet various psychological and financial needs, such as finding purpose and earning from hobbies. This trend presents challenges related to fatigue, responsibility for social security, loyalty to a primary employer, resource mismanagement, and maintaining focus on a main job. Most employers remain uneasy about employee moonlighting, despite the fact that many successful entrepreneurs started as side hustlers. Some argue that moonlighting is inevitable and suggest legitimizing it if it cannot be prevented. This case looks at a medium-sized enterprise in India where the founder-manager faces a dilemma regarding how to handle moonlighting employees. By leveraging data analytics on attrition and satisfaction metrics, he aims to develop an approach to understand if an exclusivity policy is announced, which employees are likely to leave the organization. Could such data and understanding allow his business to build an employee retention strategy in advance of announcing policies on employee exclusivity?

Notes:

Description based on XML content.

ISBN:

1-0719-1992-X

9781071919927

OCLC:

1569208881

Publisher Number:

T298107