Jobseekers prefer to work closer home, their native town or their current location. They may also prefer specific locations because there are more job opportunities in that city. For example, Mumbai is a hub for financial services and Bangalore for IT jobs. That said, IT companies now have centers across all major metros and even in small cities like Indore, Jaipur, Trivandrum.
Jobseekers are willing to move from (say) Agra to Delhi, however, it is hard for an organization to convince anyone to move from Delhi to Agra. Charm of a large metropolis, with its educational, health, entertainment and modern lifestyle, is attracting talent towards larger cities. It has become a one way street.
As a recruiter (and hiring manager), when I look at a candidate, is he more like to move to Mumbai from Delhi? or will he prefer to move to a location near Delhi, say Agra? Often, geographical distance does not represent the user preferences. Unless there is some personal connect with a smaller town or incentives are offered with a promise for better location in the future, candidates are unwilling to move to smaller city or town. (Note - Agra is also developing very fast, preferences can change in the future).
Location is a simple "Yes" or "No", yet there are many variables which come into play in the Indian context. Some of the jobseekers want to live close to family and some away from it. And preferences evolve as "the family" evolves and needs of the family change. A large number of jobseekers are willing to change location for the "better opportunity".
Location Preference Within a City
Yet, we see several employees depart because Gurgaon or Noida are too far from their current residence. Within a city, geographical distance or the daily commute is a major driver for employee satisfaction. An employee who was unhappy with his daily commute may eventually change the city itself (and not change his residence within the city).
AI Algorithm Must Understand the Preferences
The nuances of large and small city, distance within the city and also, personal preferences are all challenges for the AI algorithm to overcome.
- Vivek Jain
Please also see my blog post on (1) AI in Recruitment - Understanding Skills and Designations, (2) Story of Naukri Job Alerts, and (3) AI in Recruitment - Do Job Descriptions Represent the Intent of the Recruiter?
Jobseekers are willing to move from (say) Agra to Delhi, however, it is hard for an organization to convince anyone to move from Delhi to Agra. Charm of a large metropolis, with its educational, health, entertainment and modern lifestyle, is attracting talent towards larger cities. It has become a one way street.
As a recruiter (and hiring manager), when I look at a candidate, is he more like to move to Mumbai from Delhi? or will he prefer to move to a location near Delhi, say Agra? Often, geographical distance does not represent the user preferences. Unless there is some personal connect with a smaller town or incentives are offered with a promise for better location in the future, candidates are unwilling to move to smaller city or town. (Note - Agra is also developing very fast, preferences can change in the future).
Location is a simple "Yes" or "No", yet there are many variables which come into play in the Indian context. Some of the jobseekers want to live close to family and some away from it. And preferences evolve as "the family" evolves and needs of the family change. A large number of jobseekers are willing to change location for the "better opportunity".
Location Preference Within a City
Yet, we see several employees depart because Gurgaon or Noida are too far from their current residence. Within a city, geographical distance or the daily commute is a major driver for employee satisfaction. An employee who was unhappy with his daily commute may eventually change the city itself (and not change his residence within the city).
AI Algorithm Must Understand the Preferences
The nuances of large and small city, distance within the city and also, personal preferences are all challenges for the AI algorithm to overcome.
- Vivek Jain
Please also see my blog post on (1) AI in Recruitment - Understanding Skills and Designations, (2) Story of Naukri Job Alerts, and (3) AI in Recruitment - Do Job Descriptions Represent the Intent of the Recruiter?
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