| Field | Before | After |
|---|---|---|
| Field Trial Start Date | Before July 08, 2019 | After October 16, 2019 |
| Field Trial End Date | Before November 04, 2019 | After February 04, 2020 |
| Field Last Published | Before July 29, 2019 02:01 PM | After October 16, 2019 02:36 PM |
| Field Intervention Start Date | Before July 08, 2019 | After October 16, 2019 |
| Field Intervention End Date | Before November 04, 2019 | After February 04, 2020 |
| Field Experimental Design (Public) | Before Our experiment will follow a 2x2x2 factorial design. First, teams will be randomly assigned to either the tacit coordination condition or the explicit coordination condition. Second, teams will be randomly assigned to have a team-member replaced by either an AI or by another human player. This treatment arm will allow us to test whether the effects we observe related to tacit-vs-explicit knowledge are unique to AI’s or also occur when a new human player is introduced to the team. Third, teams randomized to coordinate with an AI will be randomly assigned an AI with strong or weak coordination ability (though we will focus on only the former this summer). Having three treatment arms allows us to test for complementarity between organizational elements, an important driver of firm organization and strategic decision making. | After Our experiment will follow a 2x3 factorial design. First, teams will be randomly assigned to either the tacit coordination condition or the explicit coordination condition. Second, teams will be randomly assigned to an organizational change. A third of teams will have a team-member replaced by an AI, a third will have a player replaced by a new player (the new hire condition), or a control condition. This treatment arm will allow us to test whether the effects we observe related to tacit-vs-explicit knowledge are unique to AI’s or also occur when a new human player is introduced to the team. |
| Field Planned Number of Clusters | Before 8 conditions * 10 teams per condition * 4 players per team = 320 subjects | After 6 conditions * 10 teams per condition * 4 players per team = 240 subjects |
| Field Planned Number of Observations | Before 8 conditions * 10 teams per condition * 4 players per team = 320 subjects | After 6 conditions * 10 teams per condition * 4 players per team = 240 subjects |
| Field Sample size (or number of clusters) by treatment arms | Before 8 conditions * 10 teams per condition * 4 players per team = 320 subjects | After 6 conditions * 10 teams per condition * 4 players per team = 240 subjects |
| Field | Before | After |
|---|---|---|
| Field Document | Before |
After
PAP_2019_10_16.pdf
MD5:
6088679f45d31b8e23e6e07ff3dfc104
SHA1:
0e01e2dbda8c845c67ca49c92c75ef4b142296e8
|
| Field | Value |
|---|---|
| Field Document |
Value
PAP_2019_06_25.pdf
MD5:
c62f1c2c1acc784101e623e797991b1a
SHA1:
dc42323eca3e7c1a9038327990179f0c7658b06a
|