We contribute to the literature on firms' responses to institutional pressures and environmental information disclosure. We hypothesize that CEO characteristics such as education and tenure will influence firms' likelihood to voluntarily disclose environmental information. We test our hypotheses by examining firms' responses to the Carbon Disclosure Project (CDP) and find that firms led by newly appointed CEOs and CEOs with MBA degrees are more likely to respond to the CDP, while those led by lawyers are less likely to respond. Our results have implications for research on strategic responses to institutional pressures and corporate environmental performance.

We examine why organizations that obtain prominent certifications may at times elect not to publicize them. Drawing on the impression management literature, we argue and show that concerns about being perceived as hypocritical may cause organizations to strategically withhold their certification status. Using a longitudinal panel of corporations that were members of the Dow Jones Sustainability Index, a prominent environmental certification, we show that in the face of reputational threats, organizations are less likely to publicize their certification status when the threat appears to directly contradict the claims implied by the certification. Our findings suggest that the threat of hypocrisy is amplified for firms with stronger reputations in the same domain as the certification and when audience members better understand and value the certification. Our findings delineate new boundary conditions under which firms will make prosocial claims and inspire reconsideration of long-held assumptions about the process of decoupling the implementation and communication of socially valued practices. This study also provides insights for scholars of nonmarket strategy on how corporations strategically communicate with external constituents about their sustainability initiatives.

Petascale archives of Earth observations from space (EOS) have the potential to characterise water resources at continental scales. For this data to be useful, it needs to be organised, converted from individual scenes as acquired by multiple sensors, converted into "analysis ready data", and made available through high performance computing platforms. Moreover, converting this data into insights requires integration of non-EOS data-sets that can provide biophysical and climatic context for EOS. Digital Earth Australia has demonstrated its ability to link EOS to rainfall and stream gauge data to provide insight into surface water dynamics during the hydrological extremes of flood and drought. This information is supporting the characterisation of groundwater resources across Australia's north and could potentially be used to gain an understanding of the vulnerability of transport infrastructure to floods in remote, sparsely gauged regions of northern and central Australia.

This case study focuses on development and community coordination of AIDS-related services and on coalition building. Its subject is the Worcester (Massachusetts) AIDS Consortium. The objectives are to: (1) describe the environmental conditions and pre-existing networks which facilitated the formation of the Worcester AIDS Consortium; (2) articulate processes which occurred during the formative, organizational and operational phases of the Worcester AIDS Consortium's development; (3) explore social and community goals and Consortium activities; and (4) document Consortium accomplishments. Data were collected through key informant interviews and review of archival materials. Information about the Worcester AIDS Consortium experience is compared with concepts and principles suggested by organizational theories and frameworks.

This study establishes the use of the Earth Observation Data for Ecosystem Monitoring (EODESM) to generate land cover and change classifications based on the United Nations Food and Agriculture Organisation (FAO) Land Cover Classification System (LCCS) and environmental variables (EVs) available within, or accessible from, Geoscience Australia’s (GA) Digital Earth Australia (DEA). Classifications representing the LCCS Level 3 taxonomy (8 categories representing semi-(natural) and/or cultivated/managed vegetation or natural or artificial bare or water bodies) were generated for two time periods and across four test sites located in the Australian states of Queensland and New South Wales. This was achieved by progressively and hierarchically combining existing time-static layers relating to (a) the extent of artificial surfaces (urban, water) and agriculture and (b) annual summaries of EVs relating to the extent of vegetation (fractional cover) and water (hydroperiod, intertidal area, mangroves) generated through DEA. More detailed classifications that integrated information on, for example, forest structure (based on vegetation cover (%) and height (m); time-static for 2009) and hydroperiod (months), were subsequently produced for each time-step. The overall accuracies of the land cover classifications were dependent upon those reported for the individual input layers, with these ranging from 80% (for cultivated, urban and artificial water) to over 95% (for hydroperiod and fractional cover). The changes identified include mangrove dieback in the southeastern Gulf of Carpentaria and reduced dam water levels and an associated expansion of vegetation in Lake Ross, Burdekin. The extent of detected changes corresponded with those observed using time-series of RapidEye data (2014 to 2016; for the Gulf of Carpentaria) and Google Earth imagery (2009–2016 for Lake Ross). This use case demonstrates the capacity and a conceptual framework to implement EODESM within DEA and provides countries using the Open Data Cube (ODC) environment with the opportunity to routinely generate land cover maps from Landsat or Sentinel-1/2 data, at least annually, using a consistent and internationally recognised taxonomy.