Emotional labor;
Surface acting;
Deep acting;
Social media fatigue;
INFORMATION-SHARING BEHAVIOR;
DARK SIDE;
LABOR;
RECIPROCITY;
ANTECEDENTS;
INTENTION;
EXCHANGE;
CONSEQUENCES;
FACEBOOK;
STRESS;
D O I:
10.1108/INTR-06-2022-0390
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
PurposeSocial media fatigue (SMF) has been widely recognized; however, previous studies have included various concepts into a single fatigue construct. Fatigue has typically been explored from the stressor-strain-outcome (SSO) or stimulus-organism-response (SOR) perspectives. To further investigate SMF, the authors split it into the two constructs of exhaustion and disinterest. Furthermore, the authors introduced the concept of emotional labor and identified rules that may affect surface and deep acting strategies.Design/methodology/approachThe authors designed and conducted a survey to collect data from social networking platform users.FindingsResults from 364 users of social networking platforms supported most of the authors' hypotheses. First, most of the display rules affect the choice of deep or surface acting. Second, both types of acting lead to exhaustion, but only surface acting leads to disinterest. Third, discontinuance intention is affected by both types of fatigue.Originality/valueThis study contributes to SMF research by adding more antecedents (deep and surface acting) based on the emotional labor perspective and showing the impacts of communication rules on emotional labor. In addition, this study also distinguishes disinterest-style fatigue from exhaustion.
机构:
Kent State Univ, Sch Commun Studies, Sch Emerging Media & Technol, Kent, OH 44142 USAKent State Univ, Sch Commun Studies, Sch Emerging Media & Technol, Kent, OH 44142 USA
Choi, Mina
Toma, Catalina L.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Wisconsin, Dept Commun Arts, Madison, WI 53706 USAKent State Univ, Sch Commun Studies, Sch Emerging Media & Technol, Kent, OH 44142 USA
机构:
Harvard Univ, Harvard Business Sch, Boston, MA USA
Harvard Univ, Dept Psychol, Cambridge, MA USA
Harvard Univ, Digital Data & Design Inst, Boston, MA USAHarvard Univ, Harvard Business Sch, Boston, MA USA