Green IT has emerged as an important research topic in information systems and in other areas, such as business sustainability management. Some progress has been made in our understandings of green IT in a wide area of research topics, ranging from the green IT definition to the motivation for adopting green IT by organizations. This paper provides a holistic review and explanation of why organizations adopt green IT. Based on an extensive review of extant studies and a broad theoretical foundation, the paper presents a theoretical framework on organizational green IT adoption (OGITA). For researchers, the study provides a comprehensive review of previous green IT adoption studies and a roadmap for future research. For practitioners, the study provides managers and policy makers a systematic analytical framework in guiding their business decisions.

Purpose: The purpose of this study is to explore organizational social media capability in business-to-business (B2B) marketing, by focusing on what social media capability is in a B2B marketing context and how it is developed in firms engaged in B2B marketing.Design/methodology/approach: This is a thematic literature review, drawing on both B2B marketing and Information Systems literature. In total, 112 academic articles from nine journals were identified and analyzed. The findings were synthesized and compiled to provide answers to the predefined research questions.Findings: The results suggest that organizational social media capability is dependent on a deep understanding of a firm’s technological capability, i.e. recognizing the key features and categories of social media and dynamically upgrading the recognition in response to the environmental change. A four-level Social Media Capability Maturity Model (technological, operational, managed and strategic level) that collectively transfers social media’s technological capability to dynamic organizational capability is proposed.Originality/value: This study contributes to an understanding of the use of social media in the context of B2B marketing from an organizational dynamic capability perspective. The model is particularly relevant to organizations that have adopted or plan to adopt a B2B social media strategy and is relevant for B2B researchers who are interested in social media research.

Mobile banking is an emerging service that not only facilitates our life, but also creates great opportunities for mobile operators, device manufactures, and especially for banks. To better understand individual's intention to adopt mobile banking, this paper integrates trust into technology acceptance model (TAM), and examined the role of trust based on a multi-dimensional perspective. Results from a survey of 438 respondents indicated that: 1) trust primarily works as an indirect antecedent of user's intention to adopt mobile banking through its impact on perceived usefulness (PU), which is the primary direct indicator of intention; 2) the shape of individual's general trust is mainly affected by three dimensions (trust in technologies, trust in vendors and structural assurance); 3) structural assurance is the most important facets of individual's general trust. Finally, implications for improving the adoption of mobile banking are discussed.

Driven by China’s peak carbon emissions and carbon neutrality goals, each region should choose a suitable local implementation path according to local conditions, so it is of great significance to mine and analyze the critical influencing factors of regional carbon emissions. Therefore, this paper integrates grey relation analysis (GRA) and an improved STIRPAT model and selects the Yangtze River Delta region of China as the research object to analyze the factors affecting carbon emissions in four provinces in the region. Firstly, it uses the IPCC method to calculate the energy carbon emissions of each province. Secondly, according to the existing research, the relevant influencing factors of carbon emissions are sorted and summarized as candidate sets and this paper uses GRA to calculate the correlation degree of the above candidate sets. On this basis, this paper combines with the characteristics of the improved STIRPAT model to determine the index selection criteria and filter out the critical factors of each province. Thirdly, an improved STIRPAT model is constructed for each province to explore the influence of critical factors and analyze the influencing factors of carbon emissions in detail. The empirical results show that during the period from 2005 to 2019, the carbon emissions of the four provinces in the Yangtze River Delta are significantly different in structure and trend. At the same time, the critical influencing factors of each province are different and the influence of the same factor on different regions is significantly different. Finally, the policy suggestions for the provinces to achieve their peak carbon emissions and carbon neutrality goals are precisely tailored to the different carbon emission influencing factors.