The Kentucky Community and Technical College System Learn on Demand Model

2013 ◽  
Vol 45 (3) ◽  
pp. 60-65 ◽  
Author(s):  
Michael B. McCall
Keyword(s):  
Technical College ◽  
Demand Model ◽  
Community And Technical College ◽  
On Demand ◽  
College System

ERP and New Organizational Capabilities

2005 ◽  
pp. 57-70
Author(s):  
Roy Tapp ◽  
Jon Hesseldenz ◽  
Linda Morefield ◽  
George Kelley
Keyword(s):  
Technical College ◽  
Organizational Capabilities ◽  
Educational Institutions ◽  
Organizational Impact ◽  
Community And Technical College ◽  
Erp System ◽  
Management Consultants ◽  
College System ◽  
And Performance ◽  
Administrative Oversight

This study qualitatively assesses the organizational impact of a newly implemented ERP system in the daily and strategic functioning of the Kentucky Community and Technical College System (KCTCS). It serves as a powerful example to academic administrators, management consultants, and ERP practitioners seeking ways to cost-justify the implementation and recurring maintenance overhead of modern ERP systems in educational institutions, especially in settings troubled by the conflicting forces of growing enrollments and state-imposed budget cuts. With the new KCTCS ERP system in place, administrative oversight has been strengthened, and it is now easier to provide factual support for institutional funding requests. The new KCTCS ERP system has additionally enabled important new organizational capabilities in the areas of student recruitment, student retention, credit hour transferability, and credential transparency. It has also made it easier for KCTCS to adapt flexibly and responsively to change, create new knowledge and performance measures, and serve the needs of a new strategic horizon.

Predictors Associated With Paid Employment Status of Community and Technical College Students With Intellectual Disability

2018 ◽  
Vol 123 (4) ◽  
pp. 329-343 ◽  
Author(s):  
Xueqin Qian ◽  
David R. Johnson ◽  
Frank A. Smith ◽  
Clare K. Papay
Keyword(s):  
College Students ◽  
Intellectual Disability ◽  
Work Experience ◽  
Technical College ◽  
Upper Midwest ◽  
Policy And Practice ◽  
Community And Technical College ◽  
Community And Technical Colleges ◽  
Paid Employment ◽  
Technical College Students

Abstract The present study sought to identify predictors associated with paid employment outcomes for community and technical college students with intellectual disability (ID). Data used were collected from the Transition and Postsecondary Programs for Students With Intellectual Disabilities (TPSID) implemented in two community and technical colleges in the upper Midwest. The participants included 228 students with ID attending college who received supports based on the Check & Connect model. Results using logistic regression showed that students who only took inclusive classes, participated in campus events, had prior paid work experience, and participated in volunteering and/or community service were more likely to earn at or above minimum wage during their most recent year in the TPSID program. Implications for policy and practice are discussed.

Modeling Collaboration and Partnership in a Program Integrating NMR across the Chemistry Curriculum at a University and a Community and Technical College

2013 ◽  
Vol 90 (7) ◽  
pp. 873-876 ◽  
Author(s):  
Cathleen Webb ◽  
Darwin Dahl ◽  
Lester Pesterfield ◽  
Donielle Lovell ◽  
Rui Zhang ◽  
...  
Keyword(s):  
Technical College ◽  
Chemistry Curriculum ◽  
Community And Technical College

Customer Preference and Station Network in the London Bike-Share System

2020 ◽  
Author(s):  
Pu He ◽  
Fanyin Zheng ◽  
Elena Belavina ◽  
Karan Girotra
Keyword(s):  
Network Effects ◽  
Demand Model ◽  
Station Network ◽  
Customer Preference ◽  
On Demand ◽  
Structural Demand ◽  
City Of London ◽  
The City ◽  
Station Density ◽  
Bike Share

We study customer preference for the bike-share system in the city of London. We estimate a structural demand model on the station network to learn the preference parameters and use the estimated model to provide insights on the design and expansion of the bike-share system. We highlight the importance of network effects in understanding customer demand and evaluating expansion strategies of transportation networks. In the particular example of the London bike-share system, we find that allocating resources to some areas of the station network can be 10 times more beneficial than others in terms of system usage and that the currently implemented station density rule is far from optimal. We develop a new method to deal with the endogeneity problem of the choice set in estimating demand for network products. Our method can be applied to other settings in which the available set of products or services depends on demand. This paper was accepted by Gabriel Weintraub, revenue management and market analytics.

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