Creating and Capturing Value through Crowdsourcing by Christopher L. Tucci & Allan Afuah & Gianluigi Viscusi

Author:Christopher L. Tucci & Allan Afuah & Gianluigi Viscusi
Language: eng
Format: epub
ISBN: 9780192548207
Publisher: Oxford University Press
Published: 2018-03-01T16:00:00+00:00

We introduce some new notation to set up the framework. Consider a setting with 2n tasks denoted by (EJ(1),…, EJ(n)) and (EJ(1),…, EG(n)) and 2m players denoted by (PJ(1),…, PJ(m)) and (PG(1),…, PG(m)), with m≥n. There are n tasks of each of two types: Java-based (type J) or graphic design-based (type G), and similarly, m players of each type.

Players of a given type are better at tasks of the same type. A Java programmer (or graphic artist) can complete a Java task (or graphic design task) at a low cost (cl), whereas they have a high cost (ch) for a graphic design task (or Java task). PJ(i) has cost = for tasks EJ(1) to EJ(n), and cost = for EG(1) to EG(n). Costs for PG(i), i.e. cGG(i) and cGJ(i), are defined similarly. The ɛ(i) are to be thought of as error terms: . Base effort is as defined earlier. Without loss of generality, assume that the player costs are ordered:

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