Journal Article10.1287/orsc.2023.17712
Location-Specificity and Relocation Incentive Programs for Remote Workers
Thomaz Teodorovicz,Prithwiraj (Raj) Choudhury,Evan Starr +2 more
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TL;DR: Location-Specificity and Relocation Incentive Programs for Remote Workers TLDR: Location-specific attributes can be used to attract and retain remote workers, creating value for both the individual and the locality.
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Abstract: The precipitous growth of remote work has given rise to a new phenomenon: the emergence of relocation incentive programs that localities use to compete for the physical presence of remote workers. Remote workers with high general human capital may create value for their new destinations and reverse net talent outflow from smaller cities in middle America and globally. However, localities seeking to attract, retain, and create value from remote workers face significant challenges because such workers may have a low attachment to their new destination. Analogizing these challenges to the problem of creating and capturing value from workers with general human capital, we argue that localities can benefit from using relocation incentive program by leveraging location-specific attributes that create value for the individual and the locality. We examined these ideas in the context of Tulsa Remote, a program that provides relocation incentives and a bundle of services to increase engagement and embeddedness in Tulsa, Oklahoma. We found that Tulsa Remote increased community engagement, real income, and entrepreneurship of remote workers, benefiting both the community and the individual. Tulsa Remote increased the worker’s willingness to stay, and local community engagement is a key driver of this relationship. This work thus suggests that location specificity enables localities to both create and capture value from remote workers. Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2023.17712 .
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Citations
Beyond global mobility: how human capital shapes the MNE in the 21st century
Dana Minbaeva,Rajneesh Narula,Anupama Phene,Stacey R. Fitzsimmons +3 more
A large-scale dataset for analysing remote working in urban and rural areas across Europe
Katharina Fellnhofer,Margarita Angelidou,Johannes Flacke,Lisa Fontanella,Mandy Fransz,Ozge Karanfil,Eirini Kelmali,Sibel Kiran,Pavlos Kolias,Vidit Kundu,Konstantina Mataftsi,Thomas Mone,Greta Nasi,Hakan S. Orer,Marilena Papageorgiou,Panagiotis Papanikolaou,Karin Pfeffer,Theodora Istoriou,Dimitra Plastara,Kelly Pasmatzi,Georgia Pozoukidou,Alexandra Prodromidou,Elli Roma-Athanasiadou,Sibel Sakarya,Giovanni Oscar Serafini,Efstratios Stylianidis,Surucu Huseyin Selçuk,Ioannis Tavantzis,Nikolas Thomopoulos,Zoi-Eirini Tsifodimou,Christos Menelaos Vlemmas,Tracy Xu,İlker Kayı,Katharina Fellnhofer,Margarita Angelidou,Johannes Flacke,Lisa Fontanella,Mandy Fransz,Ozge Karanfil,Eirini Kelmali,Sibel Kiran,Pavlos Kolias,Vidit Kundu,Konstantina Mataftsi,Thomas Mone,Greta Nasi,Hakan S. Orer,Marilena Papageorgiou,Panagiotis Papanikolaou,Karin Pfeffer,Theodora Istoriou,Dimitra Plastara,Kelly Pasmatzi,Georgia Pozoukidou,Alexandra Prodromidou,Elli Roma-Athanasiadou,Sibel Sakarya,Giovanni Oscar Serafini,Efstratios Stylianidis,Surucu Huseyin Selçuk,Ioannis Tavantzis,Nikolas Thomopoulos,Zoi-Eirini Tsifodimou,Christos Menelaos Vlemmas,Tracy Xu,İlker Kayı +65 more
TL;DR: A large-scale dataset (20,013 participants) on remote work in Europe, highlighting differences in flexibility, adaptability, and productivity between urban and rural workers, with potential applications in policy development, urban planning, and research on work-life balance and urban-rural disparities.
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