Marios Kokkodis

Marios Kokkodis
Assistant Professor of Information Systems
Carroll School of Management
Boston College
( Scholar )

Short Bio


Marios Kokkodis is an Assistant Professor of Information Systems at the Carroll School of Management, Boston College. His research focuses on understanding various aspects of online user behavior and online work, and on algorithmically improving the transaction efficacy of online platforms (digital workplaces) while maximizing the market value of their users (online workers). His work appears in major information systems (Management Science, Information Systems Research, ICIS), data mining (KDD, WWW, WSDM) and multidisciplinary (Plos One) outlets. He has received multiple awards and nominations, including the INFORMS ISS Nunamaker-Chen dissertation award, the NYU Stern Harold W. MacDowell award, and the LinkedIn economic graph challenge award.

Publications in Information Systems


Kokkodis Marios, Lappas Theodoros, and Sam Ransbotham. 2019. From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare. Information Systems Research (forthcoming).

Kokkodis Marios and Lappas Theodoros. 2019. Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms. Information Systems Research (forthcoming).

Kokkodis Marios and Ipeirotis G. Panagiotis. 2016. Reputation Transferability in Online Labor Markets. Management Science.

Publications in Data Mining


Kokkodis Marios. 2019. Reputation Deflation Through Dynamic Expertise Assessment in Online Labor Markets. Proceedings of the ACM Web Conference (WWW).

Kokkodis Marios. 2018. Dynamic Recommendations for Sequential Hiring Decisions in Online Labor Markets. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

Kokkodis Marios, Papadimitriou Panagiotis and Ipeirotis G. Panagiotis. 2015. Hiring Behavior Models for Online Labor Markets. Proceedings of the eighth ACM International Conference on Web Search and Data Mining.

Kokkodis Marios and Ipeirotis G. Panagiotis. 2013. Have you done anything like that? Predicting user performance using intercategory reputation.” Proceedings of the sixth ACM International Conference on Web Search and Data Mining.

Research


My research focuses primarily on the future of work and the emergence of electronic labor markets that facilitate transactions between independent contractors and employers. Currently, I am working in three different areas:

  • Understanding and Modeling Career development paths

    In digital workplaces, the ability of online workers to charge for their services depends on their skills and expertise. The value of each skill is bound to market conditions, i.e., the skill's demand and supply. Because in digital workplaces new skills are born faster than eever, online workers must be diligently and continuously re-educating and reskilling themselves.

    Related to this career developmen process of online workers, I am interested in (1) understanding what career choices result in higher market value and (2) algorithmically recommending seemingly optimal career choices.

    Working Papers

    Kokkodis Marios and Ipeirotis G. Panagiotis. Career Development Paths in Online Labor Markets. (Major revision -- 3rd round).

    Kokkodis Marios. Diversify or Specialize? Demand-Reputation Trade-offs and Career Paths in Online Labor Markets. (Major revision).

    Publications

    Kokkodis Marios and Ipeirotis G. Panagiotis. 2014. The Utility of Skills in Online Labor Markets. Proceedings of the International Conference on Information Systems (ICIS).


  • Understanding and Improving Online Reputation Systems

    To reduce information asymmetry and help buyers make better predictions of the expected service quality, online platforms have developed reputation systems: workers (services) get rated for their performance (quality) and these ratings become part of their online "resumes." Buyers then consider the workers' (services') past performance as a signal for future service quality. In theory, such reputation mechanisms should inform and facilitate matching between buyers and services. In practice however, these systems are inefficient.

    Related to online reputation systems, I am interested in (1) building systems that provide custom, up to date estimates of service quality, (2) understanding biases in the buyers' rating process and (3) investigating how seemingly exogenous characteristics can shift reputation scores.

    Working Papers

    Kokkodis Marios, Lappas Theodoros and Kane Gerald. Direct and Indirect Benefits of Introducing Purchase Verification in E-commerce Platforms: Evidence from a Natural Experiment. (Under review).

    Kokkodis Marios and Ransbotham Sam. Asymmetric Reputation Spillover from Agencies on Digital Platforms. (Under review).

    Publications

    Kokkodis Marios and Lappas Theodoros. 2019. Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms. Information Systems Research (forthcoming).

    Kokkodis Marios. 2019. Reputation Deflation Through Dynamic Expertise Assessment in Online Labor Markets. Proceedings of the ACM Web Conference (WWW).

    Kokkodis Marios and Ipeirotis G. Panagiotis. 2016. Reputation Transferability in Online Labor Markets. Management Science.

    Kokkodis Marios and Ipeirotis G. Panagiotis. 2013. Have you done anything like that? Predicting user performance using intercategory reputation. Proceedings of the sixth ACM International Conference on Web Search and Data Mining (WSDM).


  • Understanding and Predicting Online User Behavior

    Understaing how employers choose contrcators in digital workplaces and providing meaningful contractor recommendations is a crucial component of an online market. In general, prediction of online user behavior allows for managerial interventions in various digital platforms.

    I am particularly interested in building systems that dynamically (1) match contractors with employers, and (2) predict an online user's participation patterns.

    Working Papers

    Kokkodis Marios and Ipeirotis G. Panagiotis. Designing Recommender Systems in Online Labor Markets. (Major revision).

    Publications

    Kokkodis Marios, Lappas Theodoros, and Sam Ransbotham. 2019. From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare. Information Systems Research (forthcoming).

    Kokkodis Marios. 2018. Dynamic Recommendations for Sequential Hiring Decisions in Online Labor Markets. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

    Kokkodis Marios and Theodoros Lappas. 2016. Realizing the Activation Potential of Online Communities. International Conference on Information Systems (ICIS). (Nominated for best paper award)

    Kokkodis Marios, Papadimitriou Panagiotis and Ipeirotis G. Panagiotis. 2015. Hiring Behavior Models for Online Labor Markets. Proceedings of the eighth ACM International Conference on Web Search and Data Mining (WSDM).



Teaching


I will post teaching material soon.

Contact


kokkodisbcedu

(617) 552-1698

140 Commonwealth Ave, Fulton Hall 412C Chestnut Hill, MA 02467

Industry Collaborations


During my PhD years I had the opportunity to intern at Microsoft Research and oDesk:

  • Research Scientist at Microsoft Research (Summer 2013)

    In summer of 2013 I joined the Search Labs group at Microsoft Research (Mountain View Campus). There I worked with Anitha Kannan and Krishnaram Kenthapadi on algorithmically augmenting education textbooks with videos. My work has lead to two publications and one patent.

  • Data Scientist at oDesk.com (Summer 2012)

    In summer of 2012 I joined oDesk Research. There I worked with Panagiotis Papadimitriou on building a framework for recommending potential good contractors to employers. The framework we developed is currently in use by oDesk. Furthermore, my involvement in this project sparked my interest in hiring decisions in Online Labor Markets, a subject that ended up being a whole chapter in my dissertation.

  • Data Scientist at oDesk.com (Summer 2011)

    In summer of 2011 I joined for the first time oDesk Research. There I worked with John Horton on finding associations amongst the available skills in the market place. This was my first exposure to online labor markets. My very good collaboration with John, as well as the exciting questions that were naturally arising is this area of paid crowdsourcing were a few of the fundamental reasons I ended up pursuing a dissertation about inefficiencies in Online Labor Markets.

From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare

Kokkodis Marios, Lappas Theodoros and Ransbotham Sam.

Information Systems Research (forthcoming), 2019.


Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms

Kokkodis Marios and Lappas Theodoros.

Information Systems Research (forthcoming), 2019.


Economic impact and policy implications from urban shared transportation: The case of Pittsburgh’s shared bike system

Pelechrinis Konstantinos, Zacharias Christos, Kokkodis Marios, and Lappas Theodoros.

PLoS one, 2017.


Reputation Transferability in Online Publications Labor Markets

Kokkodis Marios and Ipeirotis G. Panagiotis.

Management Science, 2016.


Reputation Deflation Through Dynamic Expertise Assessment in Online Labor Markets

Kokkodis Marios.

Proceedings of the ACM Web Conference (WWW), 2019.


Dynamic Recommendations for Sequential Hiring Decisions in Online Labor Markets

Kokkodis Marios.

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2018.


Realizing the Activation Potential of Online Communities

Kokkodis Marios, Lappas Theodoros.

International Conference on Information Systems (ICIS), 2016. (Nominated for best paper award.)


The Relationship Between Disclosing Purchase Information and Reputation Systems in Electronic Markets

Kokkodis Marios, Lappas Theodoros.

International Conference on Information Systems (ICIS), 2016.


Hiring Behavior Models for Online Labor Markets

Kokkodis Marios, Papadimitriou Panagiotis and Ipeirotis G. Panagiotis.

ACM Web Search and Data Mining (WSDM), 2015.


The Utility of Skills in Online Labor Markets

Kokkodis Marios and Ipeirotis G. Panagiotis.

International Conference on Information Systems (ICIS), 2014.


Assigning Educational Videos at Appropriate Locations in Textbooks

Kokkodis Marios, Anitha Kannan, and Krishnaram Kenthapadi.

International Educational Data Mining Society (EDM), 2014.


Have you Done Anything Like That? Predicting User Performance Using Inter-category Reputation

Kokkodis Marios, Ipeirotis G. Panagiotis.

ACM Web Search and Data Mining (WSDM), 2013.


Network-level Characteristics of Spamming: An Empirical Analysis

Kokkodis Marios, Faloutsos Michalis and Markopoulou Athina.

IEEE Network Protocols (ICNP), 2011.


Resume


Higher Education

2010-2015. NYU Stern School of Business, USA. PhD in Information Systems.
Advisor: Panagiotis G. Ipeirotis
Committee Members: Arun Sundararajan, Foster Provost.

2008-2010. University of California Riverside, USA. MSc in Computer Science.

2002-2007. National Technical University of Athens, Greece. Ptychion in Electrical and Computer Engineering (5-year program).


Research Interests

Online labor markets, future of work, online platforms.


Professional Employment

07/2015 - present. Assistant Professor of Information Systems at Carroll School of Management, Boston College.

05/2013-08/2013. Research scientist intern at Microsoft Research. Worked on algorithmically augmenting education textbooks.

06/2012-09/2012. Data scientist intern at oDesk. Worked on oDesk’s contractor-client matching algorithm.

06/2011-09/2011. Data scientist intern at oDesk. Worked on matching skills towards a better recommendation system.


Teaching

Spring 2016 - present. Analytics and Business Intelligence.

Spring 2014. Dealing with data.


Research Grants

Marios Kokkodis (PI), "Understanding the Dimensions of Reputation Transferability in Online Communities", Catalyst grant, Boston College, $15,000, 09/01/2016 - 12/31/2016.


Awards

May 2018. LinkedIn Economic Graph Competition.

Dec 2016. ICIS Best Paper Award (nominee).

Nov 2015. INFORMS ISS Nunamaker-Chen Dissertation Award (runner-up).

May 2015. NYU Stern Harold W. MacDowell Dissertation Award.

Fall 2014. AAAI HCOMP Doctoral Consortium.

INFORMS Data Mining Best Student Paper Award Competition (runner up).

2014-2015. Lee Sproull Doctoral Fellowship.

2010-2014. New York University Fellowship.

2008-2010. University of California Riverside, Graduate Division fellowship.

2002. 1st place in the Cyprus Biology Olympiad. Represented Cyprus in the International Biology Olympiad (IBO 2002), in Latvia.

2002. 4th place in the Cyprus Physics Olympiad. Represented Cyprus in the International Physics Olympiad (IPHO 2002), in Bali, Indonesia.


Working Papers

Kokkodis Marios and Ipeirotis G. Panagiotis. “Career Development Paths in Online Labor Markets.” (Major revision -- 3rd round)

Kokkodis Marios and Ipeirotis G. Panagiotis. "Designing Recommender Systems in Online Labor Markets." (Major revision)

Kokkodis Marios. "Diversify or Specialize? Demand-Reputation Trade-offs and Career Paths in Online Labor Markets." (Major revision)

Kokkodis Marios and Ransbotham Sam. "Asymmetric Reputation Spillover from Agencies on Digital Platforms." (Under review)

Kokkodis Marios, Lappas Theodoros and Kane Gerald. Direct and Indirect Benefits of Introducing Purchase Verification in E-commerce Platforms: Evidence from a Natural Experiment. (Under review)


Journal Publications

Kokkodis Marios, Lappas Theodoros, and Sam Ransbotham. From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare. 2019. Information Systems Research (forthcoming).

Kokkodis Marios and Lappas Theodoros. 2019. Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms. Information Systems Research (forthcoming)

Pelechrinis Konstantinos, Zacharias Christos, Kokkodis Marios, and Lappas Theodoros. 2017 Economic impact and policy implications from urban shared transportation: The case of Pittsburgh’s shared bike system. PLoS one.

Kokkodis Marios and Ipeirotis G. Panagiotis. 2016. Reputation Transferability in Online Publications Labor Markets. Management Science.


Conference Publications (refereed)

Kokkodis Marios. 2019. Reputation Deflation Through Dynamic Expertise Assessment in Online Labor Markets Proceedings of the ACM Web Conference (WWW).

Kokkodis Marios. 2018. Dynamic Recommendations for Sequential Hiring Decisions in Online Labor Markets. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

Kokkodis Marios and Theodoros Lappas. 2016. Realizing the Activation Potential of Online Communities. International Conference on Information Systems (ICIS). (Nominated for best paper award.)

Kokkodis Marios and Theodoros Lappas. 2016. The Relationship Between Disclosing Purchase Information and Reputation Systems in Electronic Markets. International Conference on Information Systems (ICIS).

Kokkodis Marios, Papadimitriou Panagiotis and Ipeirotis G. Panagiotis. 2015. Hiring Behavior Models for Online Labor Markets. Proceedings of the eighth ACM International Conference on Web Search and Data Mining (WSDM).

Kokkodis Marios and Ipeirotis G. Panagiotis. 2014. The Utility of Skills in Online Labor Markets. Proceedings of the International Conference on Information Systems (ICIS).

Kokkodis Marios, Anitha Kannan, and Krishnaram Kenthapadi. 2014. Assigning Educational Videos at Appropriate Locations in Textbooks. Proceedings of the International Educational Data Mining Society (EDM).

Kokkodis Marios, Kannan Anitha, and Krishnaram Kenthapadi. 2014. Assigning Videos to Textbooks at Appropriate Granularity. Proceedings of the first ACM Learning at Scale (LAS) conference.

Kokkodis Marios and Ipeirotis G. Panagiotis. 2013. Have you done anything like that? Predicting user performance using inter-category reputation. Proceedings of the sixth ACM International Conference on Web Search and Data Mining (WSDM).

Kokkodis Marios. 2012. Learning from positive and unlabeled amazon reviews: towards identifying trustworthy reviewers. Proceedings of the 21st international conference companion on World Wide Web (WWW).

Kokkodis Marios, Faloutsos Michalis and Markopoulou Athina. 2011. Network-level characteristics of Spamming: An empirical analysis. IEEE Network Protocols (ICNP).

Kokkodis Marios and Faloutsos Michalis. 2009. Spamming Botnets: Are we losing the war? Microsoft Conference on Email and Anti-Spam.


Refereed Conferences without Proceedings

Kokkodis Marios. 2019. Diversify or Specialize? Demand-Reputation Trade-Offs and Career Paths in Online Labor Markets Conference on Information Systems and Technology (CIST).

Kokkodis Marios. 2018. Expertise Assessment and Reputation Deflation in Online Labor Markets. INFORMS Workshop on Data Science.

Kokkodis Marios and Lappas Theodoros. 2016. Understanding The Process Of Generating Online Content For Increasing User Participation Winter Conference on Business Intelligence.

Kokkodis Marios and Lappas Theodoros. 2015. The Effect of Disclosing Purchase Information on Review Helpfulness: Evidence from Amazon.com. Conference on Information Systems and Technology (CIST).

Kokkodis Marios, Papadimitriou Panagiotis and Ipeirtotis G. Panagiotis. 2014. On Hiring Decisions in Online Labor Markets. Workshop on Information Systems Economics (WISE).

Kokkodis Marios. 2014. Online Labor Markets: Reputation Transferability, Career Development Paths and Hiring Decisions. Doctoral Consortium, AAAI Conference on Human Computation & Crowdsourcing (HCOMP).

Kokkodis Marios, Papadimitriou Panagiotis and Ipeirtotis G. Panagiotis. 2013. Who Should I Hire? Maximizing Employer’s Utility in Online Labor Markets. Winter Conference on Business Intelligence.

Kokkodis Marios and Ipeirotis G. Panagiotis. 2012. Where are you coming from, stranger? Predicting future performance using inter-category reputation. Winter Conference on Business Intelligence.


Patents

Kannan Anitha, Krishnaram Kenthapadi and Kokkodis Marios. “Associating content items with document sections.” US Patent 20,160,070,782.


Service

Reviewer: Management Science.

Reviewer: Information Systems Research.

Reviewer: Management Information Systems Quarterly.

Reviewer: Research Policy.

Reviewer: Manufacturing & Service Operations Management.

Reviewer: Decision Sciences.

Reviewer: Journal of Artificial Intelligence Research.

Reviewer: Transactions on Knowledge and Data Engineering.

Reviewer: Oxford Bulleting of Economics and Statistics.

Reviewer: Information & Management.

Associate Editor: International Conference on Information Systems (ICIS) 2017, 2018, 2019.

Program Committee: Workshop on Information Technologies and Systems (WITS) 2016, 2017, 2018, 2019.

Session Chair: "Consumers, Markets, and Economy," INFORMS Workshop on Data Science, 2018.

Judge: INFORMS student data mining competition, 2016.

Program Committee: Statistical Challenges in eCommerce Research (SCECR), 2016.

Program Committee: IJCAI Special Track on AI and the Web, 2016.

Program Committee: ACM Conference on Economics and Computation (EC), 2016.

Reviewer: International Conference on Information Systems (ICIS) 2014, 2015, 2016.

Web Chair: Conference on Human Computation & Crowdsourcing (HCOMP) 2015.

Session Chair: ‘Big Data in Business and Society’, International Conference on Information Systems (ICIS), 2014.


Languages

English

Greek