Climate change and environmental degradation have negatively affected the sustainable development of mankind. The “green” concept has been gradually accepted by the public, thereby strongly promoting “green” business forms and social innovation. This study adopts related information and technology knowledge and experience and warm glow (altruistic value) for business initiatives as push factors, market opportunity (MO) and personal innovativeness (PI) in technology as pull factors, and institutional theory (regulatory support and normative support) as mooring factors. These factors are employed to analyze the switching intentions of individuals toward green entrepreneurship, which is a new persuasive psychological model based on Push–Pull–Mooring model (PPM). The survey questionnaires are collected from a total of 1562 respondents through WeChat in mainland China. The study findings present all variables that significantly affect individuals’ switching intentions toward green entrepreneurs. PI exhibits the most significant impact on intention of individuals toward green entrepreneurship, while the interaction between the mooring factor and MO on switching intentions to green entrepreneurship is relatively weak. Finally, the study contributes theoretical and practical implications for increasing intentions toward green entrepreneurship.

Purpose: The Chinese firms are keenly focused on reducing their environmental footprints as part of the competitive strategy. Within the context of sustainable organizations in China, we test a multilevel framework that examined the impact of environmental-specific servant leadership on the green individual (pro-environmental behavior) and team (project green performance) outcomes within projects. Using social identity theory, we theorize and test the mediating role of green self-identity (individual level) and team green identification (team level) in the relationships between environmental-specific servant leadership, pro-environmental behavior and project green performance.Design/methodology/approach: We used survey questionnaires to collect multi-level and multi-wave data from 42 ongoing project-based sustainable organisations in China. The multilevel team to individual-level hypothesis were analyzed using multilevel-modeling via Mplus, while team level hypotheses were tested using ordinary least squares regression.Findings: The multilevel regression analysis showed that environmental-specific servant leadership has a trickle-down effect of green self-identity, which subsequently predicts pro-environmental behavior. The ordinary least squares regression results demonstrated that environmental-specific servant leadership predicts project green performance via team green identification. Also, environmental-specific servant leadership has a positive and direct impact on pro-environmental behavior and project green performance.Research limitations/implications: We offer community and service dimension of leadership as a determinant of environmental performance at multiple levels. We provide managerial and policy implications to Chinese organizations striving to reposition themselves as eco-friendly organizations both nationally and globally.Originality/value: The study is among the first to understand the role of environmental-specific servant leadership in predicting individual-level and team-level environment-related mediator and outcomes simultaneously.

Social networking sites (SNS) have transformed the communication systems; along with its positive effects, maladaptive usage of SNS brings some adverse outcomes too. The current study investigates the adverse impact of SNS usage. It focuses on social overload, information overload, and SNS exhaustion resultants of maladaptive usage causing dissatisfaction and regrets influencing the customer continuation intentions. Stressor-Strain-Outcome (SSO) framework is adopted in this study to investigate the antecedents of user intentions to discontinue the SNS usage. In the proposed research model, stressors, strains, and outcome are empirically examined with data collected from 505 SNS users. Findings based on statistical analysis show that psychological and behavioral alterations caused by maladaptive usage force users to discontinue the SNS usage due to dissatisfaction and regret caused by SNS usage. The excessive usage cause social overload, information overload, and SNS exhaustion source to dissatisfaction and consequent regret that push the user to decide to discontinue SNS. This research work develops theoretical implication for future SNS-based work and put forward a practical suggestion for organizations using SNS, SNS user, and SNS service providers.