Marios Kokkodis

Boston College

140 Commonwealth Avenue

Chestnut Hill, MA 02467

United States

SCHOLARLY PAPERS

5

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200

TOTAL CITATIONS
Rank 38,531

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Top 38,531

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7

Scholarly Papers (5)

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1.

Skillset Diversification in Online Labor Markets: Reputation Losses and Opportunity Gains

Number of pages: 58 Posted: 05 Sep 2019 Last Revised: 19 Aug 2020
Marios Kokkodis
Boston College
Downloads 200 (323,398)
Citation 7

Abstract:

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Online labor markets, Career choices, Career paths, Skillset specialization, Skillset diversification, Empirical analysis

2.

Dynamic, Multi-Dimensional, and Skillset-Specific Reputation Systems for Online Work

Information Systems Research, (Forthcoming)
Posted: 25 Sep 2020
Marios Kokkodis
Boston College

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Reputation frameworks, Reputation inflation, Reputation attribution, Reputation staticity, Online labor markets, Hidden Markov models, Word embedding

3.

Demand-Aware Career Path Recommendations: A Reinforcement Learning Approach

Management Science (forthcoming)
Posted: 27 Jan 2020 Last Revised: 25 May 2021
Marios Kokkodis and Panagiotis G. Ipeirotis
Boston College and New York University - Leonard N. Stern School of Business

Abstract:

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Career path recommendations; Reinforcement learning; AI-driven recommendations; Online labor markets; Skill recommendations

4.

From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare

Information Systems Research
Posted: 20 Oct 2019 Last Revised: 08 Jun 2020
Marios Kokkodis, Theodoros Lappas and Sam Ransbotham
Boston College, Stevens Institute of Technology - School of Business and Boston College - Carroll School of Management

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Online communities, Welfare of online communities, Voluntary online work, Predictive modeling

5.

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

Information Systems Research, Forthcoming
Posted: 13 Aug 2019 Last Revised: 04 Jun 2020
Marios Kokkodis and Theodoros Lappas
Boston College and Stevens Institute of Technology - School of Business

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online reviews, online reputation platforms, popularity-difference bias