Recent Working Papers
With (Nikhil George, Ramayya
Krishnan) Learning from Internal Mobility: A Machine Learning Approach to
Augmenting Human Capital
In companies today, work is organized
in fluid teams whose composition changes as certain (new) skills become
important while others become less relevant. Employees in-turn are primarily
responsible for navigating their careers through positions that match their
expertise and ambition. As retention and advancement of good employees is
vital, many organizations provide employees the opportunity to apply for new
jobs listed in the organization. Facilitating and supporting this internal
mobility is a novel matching problem faced by many firms. We partnered with the
IT division of a large financial services firm to develop an algorithmic model
of an (internal) applicant’s probability of selection to a new position. We
show that the informational content in the applicant’s current job’s description
and the firm’s past selection decisions contain valuable signal to predict
selection of internal applicants. The model enables the firm to identify cases
where the applying employee’s chances of selection was predictably low. This
allows the firm to design training programs that are tailored to improve
employees’ selection prospects to their observed choices among new positions.
We verify that these training opportunities are consistent with the firm’s
incentives and summarize them to an interpretable set via clustering. Our
machine learning approach integrates three different sources of information
available to firms, to identify training opportunities directly linked to new
positions and observed employee choices.
Journal Publications
·
Saharsh Agarwal, Deepa Mani, Rahul Telang (2023),
“The Impact of Ride-hailing Services on Congestion: Evidence from Indian
Cities”, 25(3), 862-883, MSOM
(Manufacturing and Service Operation Management) paper
·
A Aziz, H Li, R Telang (2022), “The Consequences of Rating Inflation
on Platforms: Evidence from a Quasi-Experiment”, 34(2), 590-608, Information
Systems Research paper
·
R Belo, T Frick, R Telang (2023), “Incentive Misalignments in
Programmatic Advertising: Evidence from a Randomized Field Experiment”, 69(3),
1665-1686, Management Science. paper
·
J Sim, Daegon Cho, Y Hwang, and R Telang (2022),
“The Virus Shook the Streaming Star: Estimating
the COVID-19 Impact on Music Consumption”, Marketing Science, 21 (1), 19-32. paper
·
Rahul
Ladhania, A M. Haviland, A Venkat, R Telang, and J M. Pines (2021), “The Effect
of Medicaid Expansion on the Nature of New Enrollees’ Emergency Department Use”,
Medical Care Research and Review, 78 (1), 24–35. paper
·
B
Danaher, J Hersh, M Smith, R Telang (2020), “The Effect of Piracy Website Blocking on Consumer Behavior”, MIS Quarterly, 44(2),
631-659.
·
Liron
Sivan, M Smith, R Telang (2019), “Do Search Engines Influence Media Piracy?
Evidence from Randomized Experiment”, MIS Quarterly, 42(4),
1143-1154.
·
Zia Hydari Rahul Telang, Bill
Marella (2019), “Saving Patient Ryan — Can Advanced Electronic
Medical Records Make Patient Care Safer?”, Management Science, 65(5), 2041-2059. paper
·
Rajiv Garg, Rahul Telang
(2018), “To Be or Not to Be Linked: Online social Networks and Job Search by
Unemployed Workforce”, Management Science, 64(8),
3926-3941. paper
·
Rahul
Telang, Joel Waldfogel (2018), “Piracy and New Product Creation: A Bollywood
Story”, Information Economics and Policy, 43, 1-11. paper
·
Haijing Hao, R
Padman, R Telang, B Sun (2018), "Quantifying the Impact of Social Influence
on the Information Technology Implementation Process by Physicians: A
Hierarchical Bayesian Learning Approach" Information Systems Research, 29(1), 25-41. paper
·
B
Danaher, M Smith, R Telang (2017), “Copyright Enforcement in the Digital Age:
Empirical Evidence and Policy Implications”, Communication of the ACM,
60(2), 68-75. paper
·
Maurya A, Telang R (2017), “Bayesian Multi-View Models for Member-Job
Matching and Personalized Skill Recommendations”, IEEE International Conference On Big Data (BIG DATA),
1193-1202. paper
·
Pedro Ferreira, Miguel Matos, Michael Smith,
Rahul Telang, (2016), “Culling the herding: Using real world randomized
experiments to measure social bias with known costly goods”, Management
Science, 62(9), 2463-2580. paper
·
Adjerid
Idris; Acquisti A, Telang R, Padman R, Adler-Milstein, J (2016), “The Impact of
Privacy Regulation and Technology Incentives: The Case of Health Information
Exchanges”, Management Science, 62(4), 1042-1063. paper
·
Gong,
Jing, Smith, Michael D, Telang, Rahul (2015). “Substitution or Promotion? The
Impact of Price Discounts on Cross-Channel Sales of Digital Movies”, 91(2),
Journal of Retailing, 343-357. paper
·
Telang
Rahul (2015), “Policy Framework for Data Breaches”, IEEE Security and Privacy,
13 (1), 77-79. paper
·
Zia Hydari Rahul Telang, Bill Marella
(2015), “Electronic Health Records and Patient Safety”, Communication of the ACM,
58 (11), 30-32.
·
B.
Danaher, Y Huang, M Smith, R Telang (2014), “An empirical Analysis of Digital
Music Bundling Strategies” 60 (6), Management Science, 1413-33. paper
·
Anuj Kumar, Michael Smith, Rahul Telang (2014), “Information
Discovery and Long Tail of Motion Picture Content”, MIS Quarterly, 18(4),
1057-1078. paper
·
B
Danaher, M Smith, R Telang (2014), “Piracy and Copyright Enforcement
Mechanism”, Innovation Policy and the Economy, Vol (14), NBER.
·
B
Danaher, M D Smith, R Telang, S Chen, “The Effect of Graduated Response
Anti-Piracy Laws on Music Sales: Evidence from an Event Study in France”, Journal
of Industrial Economics, 62(3), 541-553. paper
·
Rajiv
Garg, Rahul Telang (2013), “Inferring App demand from publicly available data”,
paper, MIS Quarterly, 37(4)
-
Here is a story in Post-Gazette on
this paper, http://old.post-gazette.com/pg/11359/1199005-467-0.stm.
·
Rodrigo
Belo, Pedro Ferreira, Rahul Telang (2013), “Impact of Broadband in School:
Evidence from Portugal”, Management Science, 60(2). 265-282.
[Lead Article] paper
·
Anuj
Kumar, Rahul Telang (2012), “Does the Web decrease Customer Service Cost? An
Empirical analysis”, Information Systems Research (ISR),
23(3), 721-737 paper.
·
S.
Wattal, R. Telang, T. Mukhopadhyay, P. Boatwright (2012), “What’s in a “name”?
Impact of Use of Customer Information in Email Advertisement”, Information
Systems Research, 23(3), 679-697. paper
·
Anuj
Kumar, Rahul Telang (2011), “Product Customization and Customer Service Costs:
An Empirical Analysis”, forthcoming, Manufacturing and Service Operations
Management (MSOM), 13 (3), 347-360 paper.
·
S.
Romanosky, R. Telang, A. Acquisti (2011), “Do Data Breach Disclosure Laws
Reduce Identity Theft?”, Journal of Policy Analysis and Management
(JPAM), 30 (2), 256-286,
paper.
·
B
Danaher, S Dhanasobhon, M Smith, R. Telang (2010),
“Converting Pirates without Cannibalizing Purchasers: The Impact of Digital
Distribution on Physical Sales and Internet Piracy”, Marketing Science, 29(6),
1138:1151. Paper.
·
M. D. Smith, R.
Telang “Piracy or Promotion? The Impact of Broadband Internet Penetration on DVD Sales”, Information
Economics and Policy, 22(4), 289-298. paper
·
Michael Smith, Rahul Telang (2010), “Competing with Free: The Impact of
Movie Broadcasting on DVD Sales and Internet Piracy”, MIS Quarterly, 33(2), 321-338. paper
·
Arora,
C. Forman, A. Nandkumar, R. Telang (2010), “Competition and patching of
security vulnerabilities: An empirical analysis”, Information Economics and Policy,
(10), 164-177. paper
·
Arora, R. Krishnan, R. Telang, Y. Yang (2010)
"An Empirical Analysis of Software Vendors’ Patch Release Behavior: Impact
of Vulnerability Disclosure", Information
Systems Research (ISR), 21(1), 115-132, paper, data
·
S. Kim, R.
Telang, B. Vogt, R. Krishnan (2010), “Empirical Analysis of Mobile Voice and
SMS Service: A Structural Model”, 56(2). 234-252, Management Science.
paper.
·
Sunil Wattal, Rahul Telang, Tridas
Mukhopadhyay (2009), "Information Personalization in a Two-Dimensional
Product Differentiation Model”, Journal of MIS, 26(2), 69-95. paper
·
Ashish Arora, Rahul Telang, Hao Xu (2008), “Optimal
Policy for Software Vulnerability Disclosure”, Management Science, 54(4), 642-656 paper
·
Rahul Telang, Sunil Wattal (2007), “An Empirical
Analysis of the Impact of Software Vulnerability Announcements on Firm Stock
Price”, IEEE Transactions on Software
Engineering paper, 33
(8), 544-557.
·
R
Krishnan, M D. Smith, Z. Tang, R. Telang (2007) “Digital Business Models for
Peer-to-Peer Networks: Analysis and Economic Issues”, Review of Network Economics,
6(2), 194-213. paper
·
Anindya Ghose, Michael Smith, Rahul Telang (2006),
"Internet Exchanges for Used Books: An Empirical Analysis of Product
Cannibalization and Welfare Impact", Information
Systems Research (ISR), 17(1), 3-19, [Lead Article] paper
-
An article about this paper appeared in The New York
Times article.
-
Won the runner-up best published paper award in ISR.
·
S Bhattacharjee, R Gopal, K Lertwachara, J
Marsden, R Telang (2006), “The Effect of Digital Sharing Technologies on Music
Markets: A Survival Analysis of Albums on Ranking Charts”, Management Science, 53(10),
1359-1374. [lead Article] paper
·
Ashish Arora, Anand Nandkumar, Rahul Telang (2006),
“Does Information Security attack frequency increase with Vulnerability
disclosure? - An Empirical Analysis”, Information Systems Frontier, 8(5), 350-362.paper
·
Ashish Arora, Jonathan Caulkins, Rahul Telang
(2006), "Sell First, Fix Later: Impact of Patching on Software
Quality", Management Science (Research
Note), 52(3), 465-471 paper
·
Anindya Ghose, Rahul Telang, Ramayya Krishnan
(2005), "Impact of Electronic Secondary Markets on Information Goods
Supply Chain, Journal of MIS (JMIS), 22(2),
91-120. paper
·
Rahul Telang, Tridas Mukhopadhyay (2005),
"Drivers of Web Portal Use", Electronic
Commerce Research and Applications. 4(1): 46-62.
paper
·
Karthik Kannan, Rahul
Telang (2005), "Market For Software vulnerabilities? Think
Again", Management Science, 51(5),
726-740. paper
·
Ashish Arora, Rahul Telang (2005), "Economics
of Software Vulnerability Disclosure", IEEE Security
and Privacy, 3 (1), 20-25. paper
·
Ashish Arora, D Hall, C. A. Pinto, D Ramsey, R
Telang (2004), "Measuring the Risk Based Value of IT Security
Solutions", IEEE IT Professional, 6(6),
35-42.
·
Robert E. Kraut, Shyam Sunder, Rahul Telang, James Morris (2005),
"Pricing to Solve the Problem of Spam", Human-Computer Interaction, 20, 195-223
paper.
·
Rahul Telang, Peter Boatwright, Tridas Mukhopadhyay
(2004), "A Mixture Model for Internet Search Engine Visits", Journal of Marketing Research (JMR), 41(2),
206-214. paper
·
Rahul Telang, Uday Rajan, Tridas Mukhopadhyay
(2004), "The Market Structure for Internet Search Engines", Journal of MIS (JMIS), 21(2), 137-160. paper
·
Ramayya Krishnan, Michael Smith, Rahul Telang
(2004), "The Economics of Peer to Peer Networks", Journal of Information Technology Theory and Application (JITTA), 5(3),
31-44. paper