Interim Report: Ask a Librarian Email Reference Service User Feedback (Fall 2016)

Starting in fall 2016, the University of Michigan Library Ask a Librarian email reference service providers sought feedback about users’ motivation for seeking help via email. Email service providers invited users to provide feedback by including an invitation when responding to email replies. This report covers user feedback on the Ask a Librarian email reference service from October 10, 2016, to December 31, 2016. (Another report will cover winter 2017.)https://deepblue.lib.umich.edu/bitstream/2027.42/139890/1/InterimAskEmailServiceReportFall2016.pdfDescription of InterimAskEmailServiceReportFall2016.pdf : Report of a user feedback survey

Final Report: Ask a Librarian Email Reference Service User Feedback (Winter 2017)

Starting in fall 2016, the University of Michigan Library's Ask a Librarian email reference service providers sought feedback about users’ motivation for seeking help via email. Email service providers invited users to provide feedback by including an invitation when responding to email replies. This report covers user feedback on the Ask a Librarian email reference service from January 1, 2017 through March 31, 2017 (winter semester). It provides some comparisons to the data collected during fall semester 2016 (the interim report).https://deepblue.lib.umich.edu/bitstream/2027.42/139891/1/FinalAskEmailReportWinter2017.pdfDescription of FinalAskEmailReportWinter2017.pdf : Report of a user feedback survey

The value of being virtual: User feedback on email and instant messaging reference services

https://deepblue.lib.umich.edu/bitstream/2027.42/154704/1/The_Value_of_Being_Virtual.pd

Report of the Link Resolver Implementation Team

The Link Resolver Implementation Team was charged in March 2016 with carrying out the recommendations of the Link Resolver Investigation Team (http://hdl.handle.net/2027.42/117361), which were to re-launch the MGet It link resolver service as a locally-hosted application using the existing 360 Link knowledge base and the Umlaut open-source software. Specifically, the Implementation Team was asked to: 1) Design a user interface using Umlaut and the 360 Link API; 2) Select and prioritize added services in the link resolver menu interface; 3) Determine what, if anything, should be part of a report-a-problem link and implement corresponding workflows; and 4) Determine in which circumstances the link resolver menu page should appear for which kinds of users. This report outlines our decisions on these three points, details user studies to design the interface, and describes the roll-out process. The new MGet It service was released as a limited beta for library staff on September 14, 2016. After a period of review and feedback from library staff, and subsequent adjustments to the interface, the new interface replaced the native 360 Link interface on Monday, October 17, 2016.http://deepblue.lib.umich.edu/bitstream/2027.42/135723/1/link resolver implementation team final report.pdfDescription of link resolver implementation team final report.pdf : Final Repor

Teaching Microcomputer Literacy: New Roles for Academic Librarians

published or submitted for publicatio

The Role of sentiment in the economy: 1920-1934

This paper investigates sentiment in the US economy from 1920 to 1934 using digitized articles from the Wall St Journal. We derive a monthly sentiment index and use a ten variable vector error correction model to identify sentiment shocks that are orthogonal to fundamentals. We show the timing and strength of these shocks and their resultant effects on the economy using historical decompositions. Intermittent impacts of up to fifteen percent on Industrial Production, ten percent on the S&P 500 and Bank loans and, thirty-seven basis points for the Credit risk spread, suggest a large role for sentiment

The role of sentiment in the economy: 1920 to 1934

This paper investigates sentiment in the US economy from 1920 to 1934 using digitized articles from the Wall St Journal. We derive a monthly sentiment index and use a ten variable vector error correction model to identify sentiment shocks that are orthogonal to fundamentals. We show the timing and strength of these shocks and their resultant effects on the economy using historical decompositions. Intermittent impacts of up to fifteen percent on Industrial Production, ten percent on the S&P 500 and Bank loans and, thirty-seven basis points for the Credit risk spread, suggest a large role for sentiment