TY - GEN
T1 - Unraveling E-Sports Team Tactical Recipes
T2 - 42nd International Conference on Information Systems: Building Sustainability and Resilience with IS: A Call for Action, ICIS 2021 TREOs
AU - Zhu, Jiantao
AU - Xue, Chenyang
AU - Liu, Quanchen
AU - Tan, Chee Wee
N1 - Publisher Copyright:
© 2021 42nd International Conference on Information Systems, ICIS 2021 TREOs: "Building Sustainability and Resilience with IS: A Call for Action". All Rights Reserved.
PY - 2021
Y1 - 2021
N2 - Research on e-Sports teams is gaining momentum. Yet, despite a small but growing body of work that investigates how team formation affects performance in e-Sports, the bulk of extant literature has primarily accentuated the effects of individualized factors on team performance while neglecting the nature of e-sports competition as a causally complex phenomenon. Consistent with the configurational view, we advance a research model that seeks to unveil how different types of team composition in conjunction with teams’ tactical implementation together to impact eventual outcomes. Contextualizing extant literature on team composition to e-sports setting, we delineate team composition into four types (i.e., individual offensive, collective offensive, individual defensive, and collective defensive composition) and divide tactical implementation into three dimensions (i.e., specialization, isolation, and advancing speed). To empirically validate our hypothesized relationships, we employed fuzzy set Qualitative Comparative Analysis (fsQCA) to analyze data gathered for a popular Multiplayer Online Battle Arena (MOBA) game.
AB - Research on e-Sports teams is gaining momentum. Yet, despite a small but growing body of work that investigates how team formation affects performance in e-Sports, the bulk of extant literature has primarily accentuated the effects of individualized factors on team performance while neglecting the nature of e-sports competition as a causally complex phenomenon. Consistent with the configurational view, we advance a research model that seeks to unveil how different types of team composition in conjunction with teams’ tactical implementation together to impact eventual outcomes. Contextualizing extant literature on team composition to e-sports setting, we delineate team composition into four types (i.e., individual offensive, collective offensive, individual defensive, and collective defensive composition) and divide tactical implementation into three dimensions (i.e., specialization, isolation, and advancing speed). To empirically validate our hypothesized relationships, we employed fuzzy set Qualitative Comparative Analysis (fsQCA) to analyze data gathered for a popular Multiplayer Online Battle Arena (MOBA) game.
KW - Configuration
KW - E-sports
KW - Isolation
KW - Movement speed
KW - Specialization
KW - Tactical implementation
KW - Team performance
UR - http://www.scopus.com/inward/record.url?scp=85192385150&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85192385150
T3 - 42nd International Conference on Information Systems, ICIS 2021 TREOs: "Building Sustainability and Resilience with IS: A Call for Action"
BT - 42nd International Conference on Information Systems, ICIS 2021 TREOs
PB - Association for Information Systems
Y2 - 12 December 2021 through 15 December 2021
ER -