User:Trevorcallarman/sandbox

The Wikipedia article titled "Employee Software Management" is currently underdeveloped. Analysis of the article exposes that the quality of the provided information is questionable. Because there are few citations and listed sources, the information has relatively little basis for authority. Examination of the view history tab shows that the topic has had only one real editor. Adding sources, correcting grammar mistakes, and simplifying the data will administer a greater quality of information by developing information reliability.

Good aspects of the article The article provides a simple overview of the subject Article provides a great point to start off on editing Aspects that require improvement The introduction is an oversimplification of the entire subject. It lacks a clear, concise direction. Lack of sources with substantial information (causes loss of credibility) View History tab shows infrequent attention to article (few edits can signify weak reliability) Suggestions for article improvement Simplify the article by providing it with a more concise overview of the subject. Include additional sources of information with strong reliability Correct grammar errors

Conclusion Overall, the page needs to be expanded upon. The page neglects to notice some fundamental aspects of employee scheduling software like mobile use, and real world applications of the technology. Additionally, the page has few resources and citations.

Annotated Bibliography
1. http://eds.b.ebscohost.com/eds/pdfviewer/pdfviewer?sid=22d43c9f-7e76-466b-9cab-8d70a3dc813f%40sessionmgr102&vid=2&hid=113

Lancaster, A. (2015). AHEAD OF SCHEDULE. Restaurant Business, 114(10), 37.

2. http://www.sciencedirect.com/science/article/pii/S037722170300095X

Chang, C. (2008). Time-line based model for software project scheduling with genetic algorithms. Information and Software Technology. Volume 50, Issue 11, October 2008, Pages 1142–1154

This article gives strong analytic examples of way scheduling software maximizes efficiency in the workplace. More specifically, it addresses the shortcomings of typical work schedules. The article provides data that shows hard calculation of evaluation of employee effectiveness.

3. http://www.sciencedirect.com/science/article/pii/S0950584908000372

A.T Ernst, H Jiang, M Krishnamoorthy, D Sier (2004). Staff Scheduling and Rostering: A Review of Applications, Methods and Models. European Journal of Operational Research. Volume 153, Issue 1, 16 February 2004, Pages 3–27

This paper provides a review of staff scheduling and rostering. The data show that optimized staff schedules provide enormous benefits. They address the different types of demands that face the employee and employer relationships. Additionally, this article conveys the various complexities of the workplace and how scheduling software can assist.

4. http://go.galegroup.com/ps/i.do?p=HRCA&u=txshracd2550&id=GALE|A234455246&v=2.1⁢=r&sid=ebsco&userGroup=txshracd2550&authCount=1

Fred Glover, Claude McMillan, Randy Glover. (1984). A heuristic programming approach to the employee scheduling problem and some thoughts on “managerial robots”. Volume 4, Issue 2, February 1984, Pages 113-128

This article addresses the various issues in employee scheduling software, including airline reservation offices; telephone offices; supermarkets; fast food restaurants; banks and hotels. The article eventually shows a study to correct the inadequacies of the software and discusses the effects of a "managerial robot" which is computer based systems which do not replace, but rather supplement a manager.

5. http://onlinelibrary.wiley.com/doi/10.1111/j.1540-5915.1996.tb00863.x/abstract

Fred F. Easton, Donald F. Rossin (1996). A Stochastic Goal Program for Employee Scheduling. Decision SciencesVolume 27, Issue 3 September 1996 Pages 541–568. Wiley Online Library. Web. (2016)

This research article is a study of limitation of costly staffing and scheduling errors. The study compare the service level differences with the differing types of scheduling rules. The researchers used their findings based off 1,700 real world workplaces and concluded that deterministic goal programs for employee scheduling decisions sometimes fail to minimize expected operating costs.