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Understanding Decision-Making in Recruitment: Opportunities and Challenges for Information Technology

Published: 05 December 2019 Publication History

Abstract

Although the composition of individuals can strongly affect the success of professional collaboration, organizations often struggle with their so-called social matching decisions. For example, when recruiting new people to an organization, the decision-making is often reduced to intuitively matching individuals based on vague descriptions of projects or positions. The role of technology in recruiting is typically confined to gathering and presenting simple candidate profiles. We argue that many issues in recruitment boil down to lack of understanding the process of decision-making from social matching perspective, covering aspects like identification of relevant selection criteria and choice of the most suitable candidate. To better understand the appropriate roles of information technology (IT) in this domain, we interviewed 21 expert matchmakers, such as HR specialists and headhunters. Based on qualitative analysis of their experiences, we provide a bottom-up framework of the decision-making stages in recruitment, focusing on the pertinent challenges from the perspective of social matching. The findings indicate that, particularly, the epistemic asymmetry between the recruiter and candidates regarding the expected qualities calls for deliberation throughout the decision-making process. Matchmakers also struggle between contradictory ideals of agility and holistic decision-making. Based on the findings and relevant literature, we propose six roles that IT could play in social matching decisions in recruitment.

References

[1]
Ali Alkhatib, Michael S. Bernstein, and Margaret Levi. 2017. Examining Crowd Work and Gig Work Through The Historical Lens of Piecework. Proc. 2017 CHI Conf. Hum. Factors Comput. Syst. - CHI '17 (2017), 4599--4616.
[2]
David G Allen, Raj V Mahto, and Robert F Otondo. 2007. Web-Based Recruitment: Effects of Information, Organizational Brand, and Attitudes Toward a Web Site on Applicant Attraction. J. Appl. Psychol. 92, 6 (2007), 1696--1708.
[3]
Sahin Aysegül, Joseph Song, Giorgio Topa, and Giovanni L. Violante. 2014. Mismatch unemployment. Am. Econ. Rev. 104, 11 (2014), 3529--3564.
[4]
Jeffrey Bardzell and Shaowen Bardzell. 2015. Humanistic HCI. Synth. Lect. Human-Centered Informatics 8, 4 (2015), 1--185.
[5]
Suzanne T. Bell. 2007. Deep-level composition variables as predictors of team performance: A meta-analysis. J. Appl. Psychol. 92, 3 (2007), 595--615.
[6]
James A Breaugh. 2008. Employee recruitment: Current knowledge and important areas for future research. Hum. Resour. Manag. Rev. 18, 3 (2008), 103--118.
[7]
Peter Capelli. 2019. Data Science Can't Fix Hiring (Yet). Harv. Bus. Rev. 97, 3 (2019), 56--57. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&AuthType=cookie,ip,uid&db=bsu&AN=135981982&site=ehost-live&scope=site&authtype=sso&custid=s4778523
[8]
Peter Cappelli. 2012. Why Aren't the Vacancies Being Filled? In Why Good People Can't Get Jobs?: The Skills Gap and What Companies Can Do About It. Wharton Digital Press, 15--30.
[9]
Peter Cappelli. 2012. Something Is Wrong with the Hiring Process. In Why Good People Can't Get Jobs?: The Skills Gap and What Companies Can Do About It. Wharton Digital Press, 59--68.
[10]
Peter Cappelli. 2012. Why good people can't get jobs: The skills gap and what companies can do about it. Wharton Digital Press.
[11]
Peter Cappelli. 2019. Your Approach to Hiring Is All Wrong Outsourcing and algorithm won't get you the people you need. Harv. Bus. Rev. 97, 3 (2019), 47--57.
[12]
Derek S. Chapman, Krista L. Uggerslev, Sarah A. Carroll, Kelly A. Piasentin, and David A. Jones. 2005. Applicant attraction to organizations and job choice: A meta-analytic review of the correlates of recruiting outcomes. J. Appl. Psychol. 90, 5 (2005), 928--944.
[13]
Derek S Chapman and Anna F Gödöllei. 2017. E-Recruiting: Using Technology to Attract Job Applicants. Wiley Blackwell Handb. Psychol. Internet Work (2017), 211--230.
[14]
Le Chen, Ruijun Ma, Anikó Hannák, and Christo Wilson. 2018. Investigating the impact of gender on rank in resume search engines. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 651.
[15]
Tawanna R Dillahunt, Nishan Bose, Suleman Diwan, and Asha Chen-Phang. 2016. Designing for disadvantaged job seekers: Insights from early investigations. In Proceedings of the 2016 ACM Conference on Designing Interactive Systems, 905--910.
[16]
Tawanna R Dillahunt and Amelia R Malone. 2015. The promise of the sharing economy among disadvantaged communities. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2285--2294.
[17]
Nathan Eagle and Alex Pentland. 2005. Social serendipity: Mobilizing social software. IEEE Pervasive Computing 4, 28--34.
[18]
Ellen A Ensher, Troy R Nielson, and Elisa Grant-Vallone. 2002. Tales from the hiring line: effects of the internet and technology on HR processes. Organ. Dyn. 31, 3 (2002), 224--244.
[19]
Evanthia Faliagka, Athanasios Tsakalidis, and Giannis Tzimas. 2012. An integrated e-recruitment system for automated personality mining and applicant ranking. Internet Res. 22, 5 (2012), 551--568.
[20]
Ido Guy. 2015. Social recommender systems. In Recommender Systems Handbook. Springer, 511--543.
[21]
Christopher G Harris. 2017. Finding the Best Job Applicants for a Job Posting: A Comparison of Human Resources Search Strategies. In 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 189--194.
[22]
Mitchell Hoffman, Lisa B. Kahn, and Danielle Li. 2018. Discretion in Hiring. Q. J. Econ. 133, 2 (2018), 1--36.
[23]
Geert Hofstede. 1984. Culture's consequences: International differences in work-related values (Abridged ed.). Sage Publications, Newbury Park, CA, USA.
[24]
Julie S Hui and Shelly D Farnham. 2016. Designing for Inclusion: Supporting Gender Diversity in Independent Innovation Teams. In Proceedings of the 19th International Conference on Supporting Group Work, 71--85.
[25]
Tochukwu Arinze Ikwunne. 2018. Evaluations of human emotional state & affective computing to support job-seekers. In Proceedings of the Second African Conference for Human Computer Interaction: Thriving Communities, 47.
[26]
Benjamin Jen, Jashanjit Kaur, Jonathan De Heus, and Tawanna R Dillahunt. 2014. Analyzing employment technologies for economically distressed individuals. In Proceedings of the extended abstracts of the 32nd annual ACM conference on Human factors in computing systems, 1945--1950.
[27]
Daniel Kahneman. 2003. A perspective on judegement and choice. Mapping bounded rationality. Am. Psychol. 58, 9 (2003), 697--720.
[28]
Rémy Kessler, Juan Manuel Torres-Moreno, and Marc El-Bèze. 2007. E-Gen: automatic job offer processing system for human resources. In Mexican International Conference on Artificial Intelligence, 985--995.
[29]
Amy Kristof-Brown, Murray R Barrick Henry B, and Melinda Franke. 2002. Applicant Impression Management: Dispositional Influences and Consequences for Recruiter Perceptions of Fit and Similarity. Retrieved February 27, 2019 from https://journals.sagepub.com/doi/pdf/10.1177/014920630202800103
[30]
Ioanna Lykourentzou, Angeliki Antoniou, Yannick Naudet, and Steven P Dow. 2016. Personality Matters: Balancing for Personality Types Leads to Better Outcomes for Crowd Teams. In 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, 259--272.
[31]
Saket Maheshwary and Hemant Misra. 2018. Matching Resumes to Jobs via Deep Siamese Network. In Companion Proceedings of the The Web Conference 2018, 87--88.
[32]
Jennifer Marlow and Laura Dabbish. 2013. Activity traces and signals in software developer recruitment and hiring. In Proceedings of the 2013 conference on Computer supported cooperative work - CSCW '13, 145.
[33]
John Mathieu, John Hollenbeck, Daan van Knippenberg, and Daniel Ilgen. 2017. A Century of Work Teams in the Journal of Applied Psychology. J. Appl. Psychol. 102, 3 (2017), 452--467.
[34]
Julia M Mayer, Starr Roxanne Hiltz, and Quentin Jones. 2015. Making Social Matching Context-Aware: Design Concepts and Open Challenges. Proc. ACM CHI'15 Conf. Hum. Factors Comput. Syst. 1, (2015), 545--554.
[35]
Ed Michaels, Helen Handfield Jones, and Beth Axelrod. 2001. The War For Talent. Harvard Business School Press, Boston, MA, USA.
[36]
Ulric Neisser, Gwyneth Boodoo, Thomas J Bouchard Jr, A Wade Boykin, Nathan Brody, Stephen J Ceci, Diane F Halpern, John C Loehlin, Robert Perloff, Robert J Sternberg, and others. 1996. Intelligence: Knowns and unknowns. Am. Psychol. 51, 2 (1996), 77--101.
[37]
Thomas Olsson, Jukka Huhtamäki, and Hannu Kärkkäinen. 2019. Directions for Professional Social Matching Systems. Under Rev. Commun. ACM (2019).
[38]
Robert E. Ployhart, Neal Schmitt, and Nancy T. Tippins. 2017. Solving the Supreme Problem: 100 Years of selection and recruitment at the Journal of Applied Psychology. J. Appl. Psychol. 102, 3 (2017), 291--304.
[39]
Cassidy Puckett and Eszter Hargittai. 2012. From dot-edu to dot-com: Predictors of college students' job and career information seeking online. Sociol. Focus 45, 1 (2012), 85--102.
[40]
James Purvis. 2016. Human Resources Marketing and Recruiting: Essentials of Digital Recruiting. In Handbook of Human Resources Management. Springer Berlin Heidelberg, Berlin, Heidelberg, 53--71.
[41]
Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, and Hui Xiong. 2018. Enhancing person-job fit for talent recruitment: An ability-aware neural network approach. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 25--34.
[42]
Vladimir Radevski and Francky Trichet. 2006. Ontology-based systems dedicated to human resources management: an application in e-recruitment. In OTM Confederated International Conferences ?On the Move to Meaningful Internet Systems," 1068--1077.
[43]
Kamakshi Rajagopal, Jan M. van Bruggen, and Peter B. Sloep. 2017. Recommending peers for learning: Matching on dissimilarity in interpretations to provoke breakdown. Br. J. Educ. Technol. 48, 2 (2017), 385--406.
[44]
Lauren A Rivera. 2015. Go with your gut: Emotion and evaluation in job interviews. Am. J. Sociol. 120, 5 (2015), 1339--1389.
[45]
Mary Beth Rosson and John M Carroll. 2009. Scenario-based design. In Human-computer interaction. CRC Press, 161--180.
[46]
Sara L. Rynes and Alison E. Barber. 1990. Applicant Attraction Strategies: An Organizational Perspective. Acad. Manag. Rev. 15, 2 (April 1990), 286--310.
[47]
Benjamin Schneider. 1987. The People Make The Place. Pers. Psychol. 40, 3 (September 1987), 437--453.
[48]
Rosalind Searle. 2009. Recruitment and selection. In Human Resource Management, A Critical Approach, David G. Collings and Geoffrey T. Wood (eds.). Routledge, 151--168.
[49]
Ofer Sharone. 2017. LinkedIn or LinkedOut? How Social Networking Sites are Reshaping the Labor Market. In Emerging Conceptions of Work, Management and the Labor Market. Emerald Publishing Limited, 1--31.
[50]
Rong Su, Chris Murdock, and James Rounds. 2015. Person-Environment Fit. In APA handbook of career intervention. 81--98.
[51]
Jacqueline Tanghe, Barbara Wisse, and Henk van der Flier. 2010. The formation of group affect and team effectiveness: The moderating role of identification. Br. J. Manag. 21, 2 (July 2010), 340--358.
[52]
Loren Terveen and David W. McDonald. 2005. Social Matching: A Framework and Research Agenda. ACM Trans. Comput. Interact. 12, 3 (2005), 401--434.
[53]
Lori Foster Thompson, Phillip W. Braddy, and Karl L. Wuensch. 2008. E-recruitment and the benefits of organizational web appeal. Comput. Human Behav. 24, 5 (September 2008), 2384--2398.
[54]
Otmar Varela and Esther Mead. 2018. Teamwork skill assessment: Development of a measure for academia. J. Educ. Bus. 93, 4 (2018), 172--182.
[55]
Weigang Wang and Manuele Reani. 2017. The rise of mobile computing for Group Decision Support Systems: A comparative evaluation of mobile and desktop. Int. J. Hum. Comput. Stud. 104, (2017), 16--35.
[56]
Ingo Weller, Christina B Hymer, Anthony J Nyberg, and Julia Ebert. 2018. How Matching Creates Value: Cogs and Wheels for Human Capital Resources Research. Acad. Manag. Ann. 13, 1 (2018), 188--214.
[57]
Peng Xu and Denilson Barbosa. 2018. Matching Résumés to Job Descriptions with Stacked Models. In Advances in Artificial Intelligence: 31st Canadian Conference on Artificial Intelligence, Canadian AI 2018, Toronto, ON, Canada, May 8--11, 2018, Proceedings 31, 304--309.
[58]
Chi Zhou, Nana Ma, Xin Cui, and Zhibing Liu. 2018. The impact of online referral on brand market strategies with consumer search and spillover effect. Soft Comput. (2018), 1--15.
[59]
Chen Zhu, Hengshu Zhu, Hui Xiong, Chao Ma, Fang Xie, Pengliang Ding, and Pan Li. 2018. Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning. ACM Trans. Manag. Inf. Syst. 9, 3 (2018), 12.
[60]
Doug Zytko, Sukeshini Grandhi, and Quentin Gad Jones. 2016. The coaches said... what?: Analysis of online dating strategies recommended by dating coaches. In Proceedings of the 19th international conference on supporting group work, 385--397.

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    cover image Proceedings of the ACM on Human-Computer Interaction
    Proceedings of the ACM on Human-Computer Interaction  Volume 3, Issue GROUP
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    December 2019
    425 pages
    EISSN:2573-0142
    DOI:10.1145/3375021
    Issue’s Table of Contents
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    Publication History

    Published: 05 December 2019
    Published in PACMHCI Volume 3, Issue GROUP

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    Author Tags

    1. collaboration
    2. decision-making
    3. head hunting
    4. human resources
    5. people recommender systems
    6. recruitment
    7. social matching
    8. talent acquisition
    9. working life

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