Cognitive Function and Cardiometabolic‐Inflammatory Risk Factors Among Older Indians and Americans

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/156424/2/jgs16734_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/156424/1/jgs16734.pd

Electronic information sharing in local government authorities: Factors influencing the decision-making process

This is the post-print version of the final paper published in International Journal of Information Management. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2013 Elsevier B.V.Local Government Authorities (LGAs) are mainly characterised as information-intensive organisations. To satisfy their information requirements, effective information sharing within and among LGAs is necessary. Nevertheless, the dilemma of Inter-Organisational Information Sharing (IOIS) has been regarded as an inevitable issue for the public sector. Despite a decade of active research and practice, the field lacks a comprehensive framework to examine the factors influencing Electronic Information Sharing (EIS) among LGAs. The research presented in this paper contributes towards resolving this problem by developing a conceptual framework of factors influencing EIS in Government-to-Government (G2G) collaboration. By presenting this model, we attempt to clarify that EIS in LGAs is affected by a combination of environmental, organisational, business process, and technological factors and that it should not be scrutinised merely from a technical perspective. To validate the conceptual rationale, multiple case study based research strategy was selected. From an analysis of the empirical data from two case organisations, this paper exemplifies the importance (i.e. prioritisation) of these factors in influencing EIS by utilising the Analytical Hierarchy Process (AHP) technique. The intent herein is to offer LGA decision-makers with a systematic decision-making process in realising the importance (i.e. from most important to least important) of EIS influential factors. This systematic process will also assist LGA decision-makers in better interpreting EIS and its underlying problems. The research reported herein should be of interest to both academics and practitioners who are involved in IOIS, in general, and collaborative e-Government, in particular

Alien Registration- Beaumaster, Lawrence E. (Presque Isle, Aroostook County)

https://digitalmaine.com/alien_docs/34428/thumbnail.jp

Alien Registration- Beaumaster, Lawrence E. (Presque Isle, Aroostook County)

https://digitalmaine.com/alien_docs/34428/thumbnail.jp

Cognitive Function and Cardiometabolic‐Inflammatory Risk Factors Among Older Indians and Americans

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/156424/2/jgs16734_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/156424/1/jgs16734.pd