BAIDU INC.: LEVERAGING ARTIFICIAL INTELLIGENCE FOR
INTELLIGENT RECRUITMENT CASE STUDY SOLUTION
e
pl
SYNOPSIS
m
Sa
In the era of artificial intelligence (AI), data and algorithms have been increasingly incorporated into
organizations’ talent management in general and recruitment processes in particular. The case discusses the
experience of the China-based technology giant Baidu Inc. (Baidu) during its implementation and
n
incorporation of AI in its recruitment process. It introduces the new trend of intelligent recruitment, addressing
the transformation toward it, its technical functions, and the operational model and value creation it enables.
tio
It also explores the challenges and future opportunities in the use of AI for talent management.
lu
So
OBJECTIVES
• Understand the trend toward adopting AI for talent management.
• Understand the technical functions, operating model, and value propositions of intelligent recruitment.
• Identify and understand the potential opportunities and challenges of intelligent recruitment.
• Understand the business and social impact of AI-based talent management.
The Case Solution Starts From page 4
,ASSIGNMENT QUESTIONS
1. What are the differences between traditional recruitment and intelligent recruitment?
2. At present, some companies still refuse to change their traditional recruitment mode. How can their
resistance to intelligent recruitment reform be reduced?
3. AI excels at mechanical tasks, but humans also have unique perceptual and emotional advantages. As
an industry pioneer in intelligent recruitment, how should Baidu reasonably allocate the roles of AI and
humans in the intelligent recruitment process?
4. Intelligent recruitment has a lot of fairness issues. Should we still use it? How can we solve the
discriminatory problems caused by the intelligent recruitment system?
5. How do companies deal with the problems of job reshaping in the future talent market brought about
by the application of intelligent recruitment systems?
6. For intelligent recruitment, what kinds of business modes should the company adopt to balance both
e
economic and social benefits?
pl
m
Sa
n
tio
lu
So
ANALYSIS
1. What is the difference between traditional recruitment and intelligent recruitment?
Reviewing traditional recruitment, there are many subjective and irregular factors behind the matching
between job seekers and jobs. The problem of information asymmetry is rather obvious, leading to the
ambiguity of measurement standards. Moreover, traditional talent management requires a lot of problem-
solving and practice to reasonably summarize applicant data. Therefore, the mission of big data, AI, and
other digital means is to standardize and structure the bilateral information to transform unmeasurable
abstract values into measurable specific data. Intelligent recruitment is a recruitment system based on big
data analysis which can calculate the comprehensive score of the applicant's personal experience, resume,
and ability and personality tests, thus saving data review time and shortening the whole recruitment process
The Case Solution Starts From page 4
, EXHIBIT -1: COMPARISON BETWEEN TRADITIONAL RECRUITMENT AND INTELLIGENT
RECRUITMENT
Traditional recruitment Intelligent recruitment
Recruitment • Off-line • Online recruitment
modes • Onsite • Recruitment information posted on the
• On campus company's own website and
• Media public recruitment professional recruitment websites
• Internal recruitment
• Intermediary agency recommendation
Recruitment • Talent's professional and past • Personal experience, resume, ability
basis experience test, and personality test analyzed to
• Employer needs calculate a comprehensive score
Recruitment
methods
e
pl
m
Sa
n
tio
lu
So
The Case Solution Starts From page 4
INTELLIGENT RECRUITMENT CASE STUDY SOLUTION
e
pl
SYNOPSIS
m
Sa
In the era of artificial intelligence (AI), data and algorithms have been increasingly incorporated into
organizations’ talent management in general and recruitment processes in particular. The case discusses the
experience of the China-based technology giant Baidu Inc. (Baidu) during its implementation and
n
incorporation of AI in its recruitment process. It introduces the new trend of intelligent recruitment, addressing
the transformation toward it, its technical functions, and the operational model and value creation it enables.
tio
It also explores the challenges and future opportunities in the use of AI for talent management.
lu
So
OBJECTIVES
• Understand the trend toward adopting AI for talent management.
• Understand the technical functions, operating model, and value propositions of intelligent recruitment.
• Identify and understand the potential opportunities and challenges of intelligent recruitment.
• Understand the business and social impact of AI-based talent management.
The Case Solution Starts From page 4
,ASSIGNMENT QUESTIONS
1. What are the differences between traditional recruitment and intelligent recruitment?
2. At present, some companies still refuse to change their traditional recruitment mode. How can their
resistance to intelligent recruitment reform be reduced?
3. AI excels at mechanical tasks, but humans also have unique perceptual and emotional advantages. As
an industry pioneer in intelligent recruitment, how should Baidu reasonably allocate the roles of AI and
humans in the intelligent recruitment process?
4. Intelligent recruitment has a lot of fairness issues. Should we still use it? How can we solve the
discriminatory problems caused by the intelligent recruitment system?
5. How do companies deal with the problems of job reshaping in the future talent market brought about
by the application of intelligent recruitment systems?
6. For intelligent recruitment, what kinds of business modes should the company adopt to balance both
e
economic and social benefits?
pl
m
Sa
n
tio
lu
So
ANALYSIS
1. What is the difference between traditional recruitment and intelligent recruitment?
Reviewing traditional recruitment, there are many subjective and irregular factors behind the matching
between job seekers and jobs. The problem of information asymmetry is rather obvious, leading to the
ambiguity of measurement standards. Moreover, traditional talent management requires a lot of problem-
solving and practice to reasonably summarize applicant data. Therefore, the mission of big data, AI, and
other digital means is to standardize and structure the bilateral information to transform unmeasurable
abstract values into measurable specific data. Intelligent recruitment is a recruitment system based on big
data analysis which can calculate the comprehensive score of the applicant's personal experience, resume,
and ability and personality tests, thus saving data review time and shortening the whole recruitment process
The Case Solution Starts From page 4
, EXHIBIT -1: COMPARISON BETWEEN TRADITIONAL RECRUITMENT AND INTELLIGENT
RECRUITMENT
Traditional recruitment Intelligent recruitment
Recruitment • Off-line • Online recruitment
modes • Onsite • Recruitment information posted on the
• On campus company's own website and
• Media public recruitment professional recruitment websites
• Internal recruitment
• Intermediary agency recommendation
Recruitment • Talent's professional and past • Personal experience, resume, ability
basis experience test, and personality test analyzed to
• Employer needs calculate a comprehensive score
Recruitment
methods
e
pl
m
Sa
n
tio
lu
So
The Case Solution Starts From page 4
