Remote Influence Tactics

Research into social influence theory has been extensive and has repeatedly shown the power that influence tactics exert over individuals in an organization. Despite the extant conceptualizations of political influence tactics in organizations, very little research has focused on how these tactics play out for organizations implementing more autonomous team settings, whose interactions are not proximally located close to one another. By extending social influence theory to the inclusion of media synchronicity theory, this research contributes insight into how political influence tactics may operate across a variety of media in organizations employing remote work structures. A conceptual model of remote influence tactics is developed and the implications are discussed as part of this research agenda.

Forecasting China's per Capita Carbon Emissions under a New Three-step Economic Development Strategy

Under the context of the New Three-step strategy of Chinese economic development, we use the reverse tracing method and petroleum, natural gas and coal as sources of carbon emissions. To eliminate the impact of regional and technological levels in the energy conversion process we improved the IPAT model and used it to predict and analyze China’s per capita carbon emissions in three assumed scenarios up to 2050. We found that China’s per capita carbon emissions peak wil occur respectively in 2020 and 2030 in different assumed scenarios; national per capita carbon emissions wil reach 2.0127–2.6791 tons; China’s per capita carbon emissions wil grow continuously at an average rate of 2.25%–3.40% per year before the peak year and then wil decline at a rate of 1.33%–1.78% per year. By the year of 2050, national per capita carbon emissions wil be 1.3147–1.8817 tons.