Assess organizational capabilities with diversity recruiting through agent-based models (Record no. 8731)

MARC details
000 -LEADER
fixed length control field 03324nas a2200337 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260817163422.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230828s2020 th uu m rtt 0| a1eng
035 ## - SYSTEM CONTROL NUMBER
System control number .b1241170x
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT RSPR no.SM-20-
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Abhinut Srimasorn
245 10 - TITLE STATEMENT
Title Assess organizational capabilities with diversity recruiting through agent-based models
300 ## - PHYSICAL DESCRIPTION
Extent 89 leaves :
Other physical details ill.
490 1# - SERIES STATEMENT
Series statement Research studies project report ;
Volume/sequential designation no. SM-20-
500 ## - GENERAL NOTE
General note A research submitted in partial fulfillment of the requirements for the degree of Master of Business Administration
502 ## - DISSERTATION NOTE
Dissertation note Research Studies Project Report (M.BA.) - Asian Institute of Technology, 2020
520 ## - SUMMARY, ETC.
Summary, etc. Diversity of employment has been a concern on the management of human resources of organization. Many studies have been conducted including conscious and unconscious bias, cognitive and identity differences, and behavioral design. Several approaches have been applied to deal with this problem. A data-driven algorithmics is most cited one. Neuroscientists and software engineers have tried to come up with algorithm(s) that can minimize bias in recruitment to avoid possible homogenous workforce. However, even with the advent in machine leaning and artificial intelligent, it is still in the conceptual phase. This study explored another approach by adapting the simulation method called agent-based models. With the main concepts of procedural justice, choice architecture, nudging, and organizational capabilities, the agent-based models were developed. Several concepts and data, such as many-model thinking, philosophical profile of the individual, complex problem solving, and recruiting metrics were considered for computing the models. The analysis of data obtained from simulated models showed that a bias exits at the very first step of hiring, i.e., screening or interview. Recruiter with strong bias sensitivity prefers those who similar, either identically or cognitively, to them. It leads to the low hiring rate of different candidates. Contrarily, these recruiters are quite naïve when evaluating candidate of same type. However, with the process of group huddle selection, construct based on case-based design, and nudging to increase the tendency of individual with {u2018}systemic{u2019} discipline, the selection bias and groupthink were able to be minimized. Moreover, the result implies that a well-balance group of different individuals can be formed when the member adopts the {u2018}ontological{u2019} perspective. This leads to better performance, as evaluated by the percentage decrease on complexity of the problems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Organizational effectiveness
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Comparative organization
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Competition
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Levermore, Roger,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Islam, Nazrul,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Badir, Yuosre F. M.,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Royal Thai Government,
Relator term Scholarship Donor
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology Fellowship,
Relator term Scholarship Donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Research studies project report ;
Volume/sequential designation no. SM-20-
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B19808">http://203.159.5.9/ait-thesis/detail.php?q=B19808</a>
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b1241170x
b mnait
c m
902 ## - LOCAL DATA ELEMENT B, LDB (RLIN)
a 250422
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 230828
First date, FD (RLIN) m
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