ADOPTING SUSTAINABILITY INNOVATIONS IN RESTAURANTS: An Evaluation of the Factors Influencing Owner-Managers’ Decisions in Richmond, Virginia

The purpose of this study is to investigate the factors influencing restaurant Owner-Managers’ decisions to adopt sustainability innovations in restaurants. A cross-sectional survey research design is used for this study, which entails distributing a survey to restaurants in the City of Richmond, Virginia, to gain an understanding of the factors influencing sustainability innovation adoption. Drawing from both the innovation adoption theory and the theory of planned behavior, the researcher contributes a baseline of the restaurants’ sustainability and the Owner-Managers’ intrinsic motivations. By integrating innovation adoption theory’s perceived innovation characteristics and measuring restaurants’ past sustainability behavior, this study increases the overall explanatory power of the theory of planned behavior. The findings demonstrate the need for new policy that effectively increases the rate of sustainability innovation adoption throughout Richmond’s restaurant industry. This study’s baseline contribution enables policymakers to move from planning to the implementation of the initiatives needed to achieve the economic development goal and first objective detailed in the City of Richmond’s sustainability plan, RVAgreen: A Roadmap to Sustainability (2011)

Medical-Data-Models.org:A collection of freely available forms (September 2016)

MDM-Portal (Medical Data-Models) is a meta-data repository for creating, analysing, sharing and reusing medical forms, developed by the Institute of Medical Informatics, University of Muenster in Germany. Electronic forms for documentation of patient data are an integral part within the workflow of physicians. A huge amount of data is collected either through routine documentation forms (EHRs) for electronic health records or as case report forms (CRFs) for clinical trials. This raises major scientific challenges for health care, since different health information systems are not necessarily compatible with each other and thus information exchange of structured data is hampered. Software vendors provide a variety of individual documentation forms according to their standard contracts, which function as isolated applications. Furthermore, free availability of those forms is rarely the case. Currently less than 5 % of medical forms are freely accessible. Based on this lack of transparency harmonization of data models in health care is extremely cumbersome, thus work and know-how of completed clinical trials and routine documentation in hospitals are hard to be re-used. The MDM-Portal serves as an infrastructure for academic (non-commercial) medical research to contribute a solution to this problem. It already contains more than 4,000 system-independent forms (CDISC ODM Format, www.cdisc.org, Operational Data Model) with more than 380,000 dataelements. This enables researchers to view, discuss, download and export forms in most common technical formats such as PDF, CSV, Excel, SQL, SPSS, R, etc. A growing user community will lead to a growing database of medical forms. In this matter, we would like to encourage all medical researchers to register and add forms and discuss existing forms