TY - JOUR
T1 - Leadership in the digital era
T2 - A review of who, what, when, where, and why
AU - Banks, George C.
AU - Dionne, Shelley D.
AU - Mast, Marianne Schmid
AU - Sayama, Hiroki
N1 - Publisher Copyright:
© 2022 Elsevier Inc.
PY - 2022/10
Y1 - 2022/10
N2 - Leadership as a social influence process has always involved a complex set of phenomena that demands an interdisciplinary lens. Leadership scholarship has now entered into a digital era. In a digital era, the overall phenomenon is changing, as are the tools through which we study it, demanding a new “lens” through which we view leadership. Yet, this raises the question, to what extent is leadership different in a digital era? In acknowledgement of this trend, a special issue was commissioned at The Leadership Quarterly that sought to stimulate the imagination of leadership scholars and practitioners. In the current work, we begin with a brief review of who, what, when, where and why of digital leadership. We cover leadership in informal contexts (e.g., social media), generalization from face-to-face to virtual contexts, computational modeling, the leveraging of technology (e.g., machine learning; Big Data), as well methodological how-to guides. We then plot a path forward for leadership scholars in the dawn of the digital era.
AB - Leadership as a social influence process has always involved a complex set of phenomena that demands an interdisciplinary lens. Leadership scholarship has now entered into a digital era. In a digital era, the overall phenomenon is changing, as are the tools through which we study it, demanding a new “lens” through which we view leadership. Yet, this raises the question, to what extent is leadership different in a digital era? In acknowledgement of this trend, a special issue was commissioned at The Leadership Quarterly that sought to stimulate the imagination of leadership scholars and practitioners. In the current work, we begin with a brief review of who, what, when, where and why of digital leadership. We cover leadership in informal contexts (e.g., social media), generalization from face-to-face to virtual contexts, computational modeling, the leveraging of technology (e.g., machine learning; Big Data), as well methodological how-to guides. We then plot a path forward for leadership scholars in the dawn of the digital era.
KW - Big data
KW - Computational modeling
KW - Digital
KW - Experiments
KW - Leadership
KW - Machine learning
KW - Topic modeling
KW - Virtual
UR - http://www.scopus.com/inward/record.url?scp=85135304784&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85135304784&partnerID=8YFLogxK
U2 - 10.1016/j.leaqua.2022.101634
DO - 10.1016/j.leaqua.2022.101634
M3 - Editorial
AN - SCOPUS:85135304784
SN - 1048-9843
VL - 33
JO - Leadership Quarterly
JF - Leadership Quarterly
IS - 5
M1 - 101634
ER -