SlideShare a Scribd company logo
1 of 2
1
Technology Decision Making in Career Services
Christine Kay Davis Timm, Ph.D.
University of Nebraska, 2004
Adviser: Alan Seagren
Student affairs offices used technological systems to manage interactions with
student customers in a real time environment. Such student interaction management
systems performed administrative tasks, provided usage reports, and, most importantly,
delivered services directly to students. Career services used systems to record student
interactions and facilitate interactions between students and career opportunities. The
purpose of this study was to understand career center directors’ and staff’s perceptions of
characteristics related to student interaction management system decision making. The
study took place during November and December 2003.
The review of literature included a brief history of values guiding student affairs
and career services; technology usage in student affairs and career services; and
challenges regarding technology selection and implementation. A case study
methodology was used. Data were primarily collected through audio-taped phone
interviews with ten women and nine men who served professional roles within career
centers. Participants were selected due to their involvement in a collaborative project
with their professional association to create a placement related student interaction
management system. Analysis of the data was done through several levels of categorizing
and coding information. In analyzing data collected from interviews with participants, the
research questions were answered in five themes and four sub-themes. Customer
behavior/needs was the first theme. Director was the second theme focusing on the
2
multiple roles of the director. The third theme was process with one sub-theme of change.
The fourth theme was infrastructure and included three sub-themes: autonomy, resources,
and technological tools. The fifth theme was recommendations and summarized the ideas
presented within the other themes. In addition, participants described a chronology of
technology usage in career centers.
The findings revealed the need for strong leadership and a supportive
infrastructure to make positive technology decisions. Career centers benefited through
strategic planning processes focused on addressing customer needs when considering
new or changed technology. Career center professionals were advised to gain technology
decision making skills through individual activities, graduate courses, professional
associations, and interactions with other professionals.

More Related Content

What's hot

60, Li, comparing quality assurance mechanisms for student learning outcomes ...
60, Li, comparing quality assurance mechanisms for student learning outcomes ...60, Li, comparing quality assurance mechanisms for student learning outcomes ...
60, Li, comparing quality assurance mechanisms for student learning outcomes ...pochun Li
 
Effectiveness of a proposed system design on academic management of kampala i...
Effectiveness of a proposed system design on academic management of kampala i...Effectiveness of a proposed system design on academic management of kampala i...
Effectiveness of a proposed system design on academic management of kampala i...Alexander Decker
 
It&p 2015-model poster
It&p 2015-model posterIt&p 2015-model poster
It&p 2015-model posterMika Immonen
 
Comparative & non-comparative studies
Comparative & non-comparative studiesComparative & non-comparative studies
Comparative & non-comparative studiesAsma44
 
Factors Affecting the Sustained Use of Process Models
Factors Affecting the Sustained Use of Process ModelsFactors Affecting the Sustained Use of Process Models
Factors Affecting the Sustained Use of Process ModelsMarlon Dumas
 
Comparative & non-comparative studies
Comparative & non-comparative studiesComparative & non-comparative studies
Comparative & non-comparative studiesAsma44
 
Margot Mc Neill et al 2008
Margot Mc Neill et al 2008Margot Mc Neill et al 2008
Margot Mc Neill et al 2008Diana Quinn
 
Comparative and non comparative study g
Comparative and non comparative  study gComparative and non comparative  study g
Comparative and non comparative study gAmira Squ
 
The use of mobile devices in high stakes remotely delivered assessments and t...
The use of mobile devices in high stakes remotely delivered assessments and t...The use of mobile devices in high stakes remotely delivered assessments and t...
The use of mobile devices in high stakes remotely delivered assessments and t...Brian Marwensdy
 
QUALITY ASSURANCE AND STANDARDS OF RESEARCH
QUALITY ASSURANCE AND STANDARDS OF RESEARCHQUALITY ASSURANCE AND STANDARDS OF RESEARCH
QUALITY ASSURANCE AND STANDARDS OF RESEARCHThiyagu K
 
Comparative and non comparative study g
Comparative and non comparative  study gComparative and non comparative  study g
Comparative and non comparative study gAmira Squ
 
Clustering Students of Computer in Terms of Level of Programming
Clustering Students of Computer in Terms of Level of ProgrammingClustering Students of Computer in Terms of Level of Programming
Clustering Students of Computer in Terms of Level of ProgrammingEditor IJCATR
 
Comparative study and non comparative study
Comparative study and non comparative studyComparative study and non comparative study
Comparative study and non comparative studyAbdullah al-kharusi
 
Comparative study and non comparative study
Comparative study and non comparative studyComparative study and non comparative study
Comparative study and non comparative studyAbdullah al-kharusi
 
Analysis of the User Acceptance for Implementing ISO/IEC 27001:2005 in Turkis...
Analysis of the User Acceptance for Implementing ISO/IEC 27001:2005 in Turkis...Analysis of the User Acceptance for Implementing ISO/IEC 27001:2005 in Turkis...
Analysis of the User Acceptance for Implementing ISO/IEC 27001:2005 in Turkis...IJMIT JOURNAL
 

What's hot (20)

60, Li, comparing quality assurance mechanisms for student learning outcomes ...
60, Li, comparing quality assurance mechanisms for student learning outcomes ...60, Li, comparing quality assurance mechanisms for student learning outcomes ...
60, Li, comparing quality assurance mechanisms for student learning outcomes ...
 
Effectiveness of a proposed system design on academic management of kampala i...
Effectiveness of a proposed system design on academic management of kampala i...Effectiveness of a proposed system design on academic management of kampala i...
Effectiveness of a proposed system design on academic management of kampala i...
 
It&p 2015-model poster
It&p 2015-model posterIt&p 2015-model poster
It&p 2015-model poster
 
Niruwan
NiruwanNiruwan
Niruwan
 
Comparative & non-comparative studies
Comparative & non-comparative studiesComparative & non-comparative studies
Comparative & non-comparative studies
 
Factors Affecting the Sustained Use of Process Models
Factors Affecting the Sustained Use of Process ModelsFactors Affecting the Sustained Use of Process Models
Factors Affecting the Sustained Use of Process Models
 
Ed x
Ed xEd x
Ed x
 
Comparative & non-comparative studies
Comparative & non-comparative studiesComparative & non-comparative studies
Comparative & non-comparative studies
 
NCL3110 Final Poster
NCL3110 Final PosterNCL3110 Final Poster
NCL3110 Final Poster
 
IEEE ICALT21
IEEE ICALT21IEEE ICALT21
IEEE ICALT21
 
Margot Mc Neill et al 2008
Margot Mc Neill et al 2008Margot Mc Neill et al 2008
Margot Mc Neill et al 2008
 
Comparative and non comparative study g
Comparative and non comparative  study gComparative and non comparative  study g
Comparative and non comparative study g
 
The use of mobile devices in high stakes remotely delivered assessments and t...
The use of mobile devices in high stakes remotely delivered assessments and t...The use of mobile devices in high stakes remotely delivered assessments and t...
The use of mobile devices in high stakes remotely delivered assessments and t...
 
QUALITY ASSURANCE AND STANDARDS OF RESEARCH
QUALITY ASSURANCE AND STANDARDS OF RESEARCHQUALITY ASSURANCE AND STANDARDS OF RESEARCH
QUALITY ASSURANCE AND STANDARDS OF RESEARCH
 
Comparative and non comparative study g
Comparative and non comparative  study gComparative and non comparative  study g
Comparative and non comparative study g
 
Clustering Students of Computer in Terms of Level of Programming
Clustering Students of Computer in Terms of Level of ProgrammingClustering Students of Computer in Terms of Level of Programming
Clustering Students of Computer in Terms of Level of Programming
 
Comparative study and non comparative study
Comparative study and non comparative studyComparative study and non comparative study
Comparative study and non comparative study
 
Comparative study and non comparative study
Comparative study and non comparative studyComparative study and non comparative study
Comparative study and non comparative study
 
Analysis of the User Acceptance for Implementing ISO/IEC 27001:2005 in Turkis...
Analysis of the User Acceptance for Implementing ISO/IEC 27001:2005 in Turkis...Analysis of the User Acceptance for Implementing ISO/IEC 27001:2005 in Turkis...
Analysis of the User Acceptance for Implementing ISO/IEC 27001:2005 in Turkis...
 
Usfq&puce research
Usfq&puce researchUsfq&puce research
Usfq&puce research
 

Similar to abstract

THE USE OF CLOUD COMPUTING SYSTEMS IN HIGHER EDUCATION; The Lived Experien...
THE USE OF CLOUD COMPUTING SYSTEMS IN HIGHER EDUCATION;  The Lived Experien...THE USE OF CLOUD COMPUTING SYSTEMS IN HIGHER EDUCATION;  The Lived Experien...
THE USE OF CLOUD COMPUTING SYSTEMS IN HIGHER EDUCATION; The Lived Experien...African Virtual University
 
Mc Kirkley Oral Defense 11122009 V2
Mc Kirkley Oral Defense 11122009 V2Mc Kirkley Oral Defense 11122009 V2
Mc Kirkley Oral Defense 11122009 V2mckirkley
 
Fuzzy Measurement of University Students Importance Indexes by Using Analytic...
Fuzzy Measurement of University Students Importance Indexes by Using Analytic...Fuzzy Measurement of University Students Importance Indexes by Using Analytic...
Fuzzy Measurement of University Students Importance Indexes by Using Analytic...IRJESJOURNAL
 
11.determining the relationship between information technology and leadership...
11.determining the relationship between information technology and leadership...11.determining the relationship between information technology and leadership...
11.determining the relationship between information technology and leadership...Alexander Decker
 
Determining the relationship between information technology and leadership style
Determining the relationship between information technology and leadership styleDetermining the relationship between information technology and leadership style
Determining the relationship between information technology and leadership styleAlexander Decker
 
Dissertation review
Dissertation reviewDissertation review
Dissertation reviewrgeurtz
 
Administrator Work In Leveraging Technologies For Students With Disabilities ...
Administrator Work In Leveraging Technologies For Students With Disabilities ...Administrator Work In Leveraging Technologies For Students With Disabilities ...
Administrator Work In Leveraging Technologies For Students With Disabilities ...Nathan Mathis
 
Exploring academics’ learning spaces
Exploring academics’ learning spaces Exploring academics’ learning spaces
Exploring academics’ learning spaces Nina Pataraia
 
Mining Opinions from University Students’ Feedback using Text Analytics
Mining Opinions from University Students’ Feedback using Text AnalyticsMining Opinions from University Students’ Feedback using Text Analytics
Mining Opinions from University Students’ Feedback using Text AnalyticsITIIIndustries
 
An Expert System For Improving Web-Based Problem-Solving Ability Of Students
An Expert System For Improving Web-Based Problem-Solving Ability Of StudentsAn Expert System For Improving Web-Based Problem-Solving Ability Of Students
An Expert System For Improving Web-Based Problem-Solving Ability Of StudentsJennifer Roman
 
Automated Essay Score Predictions As A Formative Assessment Tool
Automated Essay Score Predictions As A Formative Assessment ToolAutomated Essay Score Predictions As A Formative Assessment Tool
Automated Essay Score Predictions As A Formative Assessment ToolLisa Muthukumar
 
Training need assessment in a 5star ho
Training need assessment in a 5star hoTraining need assessment in a 5star ho
Training need assessment in a 5star hoShamimansary
 
Poster: Perspectives on Increasing Competency in Using Digital Practices and ...
Poster: Perspectives on Increasing Competency in Using Digital Practices and ...Poster: Perspectives on Increasing Competency in Using Digital Practices and ...
Poster: Perspectives on Increasing Competency in Using Digital Practices and ...Katja Reuter, PhD
 
A Study on Data Mining Techniques, Concepts and its Application in Higher Edu...
A Study on Data Mining Techniques, Concepts and its Application in Higher Edu...A Study on Data Mining Techniques, Concepts and its Application in Higher Edu...
A Study on Data Mining Techniques, Concepts and its Application in Higher Edu...IRJET Journal
 
Technology Enabled Learning to Improve Student Performance: A Survey
Technology Enabled Learning to Improve Student Performance: A SurveyTechnology Enabled Learning to Improve Student Performance: A Survey
Technology Enabled Learning to Improve Student Performance: A SurveyIIRindia
 
Technology Enabled Learning to Improve Student Performance: A Survey
Technology Enabled Learning to Improve Student Performance: A SurveyTechnology Enabled Learning to Improve Student Performance: A Survey
Technology Enabled Learning to Improve Student Performance: A SurveyIIRindia
 
Evaluation of in service training for senior staff of a public university in ...
Evaluation of in service training for senior staff of a public university in ...Evaluation of in service training for senior staff of a public university in ...
Evaluation of in service training for senior staff of a public university in ...Alexander Decker
 

Similar to abstract (20)

THE USE OF CLOUD COMPUTING SYSTEMS IN HIGHER EDUCATION; The Lived Experien...
THE USE OF CLOUD COMPUTING SYSTEMS IN HIGHER EDUCATION;  The Lived Experien...THE USE OF CLOUD COMPUTING SYSTEMS IN HIGHER EDUCATION;  The Lived Experien...
THE USE OF CLOUD COMPUTING SYSTEMS IN HIGHER EDUCATION; The Lived Experien...
 
Mc Kirkley Oral Defense 11122009 V2
Mc Kirkley Oral Defense 11122009 V2Mc Kirkley Oral Defense 11122009 V2
Mc Kirkley Oral Defense 11122009 V2
 
Fuzzy Measurement of University Students Importance Indexes by Using Analytic...
Fuzzy Measurement of University Students Importance Indexes by Using Analytic...Fuzzy Measurement of University Students Importance Indexes by Using Analytic...
Fuzzy Measurement of University Students Importance Indexes by Using Analytic...
 
11.determining the relationship between information technology and leadership...
11.determining the relationship between information technology and leadership...11.determining the relationship between information technology and leadership...
11.determining the relationship between information technology and leadership...
 
Determining the relationship between information technology and leadership style
Determining the relationship between information technology and leadership styleDetermining the relationship between information technology and leadership style
Determining the relationship between information technology and leadership style
 
Dissertation review
Dissertation reviewDissertation review
Dissertation review
 
Administrator Work In Leveraging Technologies For Students With Disabilities ...
Administrator Work In Leveraging Technologies For Students With Disabilities ...Administrator Work In Leveraging Technologies For Students With Disabilities ...
Administrator Work In Leveraging Technologies For Students With Disabilities ...
 
Exploring academics’ learning spaces
Exploring academics’ learning spaces Exploring academics’ learning spaces
Exploring academics’ learning spaces
 
Mining Opinions from University Students’ Feedback using Text Analytics
Mining Opinions from University Students’ Feedback using Text AnalyticsMining Opinions from University Students’ Feedback using Text Analytics
Mining Opinions from University Students’ Feedback using Text Analytics
 
Presentación de la defensa de la tesis de Li Yang
Presentación de la defensa de la tesis de Li YangPresentación de la defensa de la tesis de Li Yang
Presentación de la defensa de la tesis de Li Yang
 
Ajman University
Ajman University Ajman University
Ajman University
 
An Expert System For Improving Web-Based Problem-Solving Ability Of Students
An Expert System For Improving Web-Based Problem-Solving Ability Of StudentsAn Expert System For Improving Web-Based Problem-Solving Ability Of Students
An Expert System For Improving Web-Based Problem-Solving Ability Of Students
 
Automated Essay Score Predictions As A Formative Assessment Tool
Automated Essay Score Predictions As A Formative Assessment ToolAutomated Essay Score Predictions As A Formative Assessment Tool
Automated Essay Score Predictions As A Formative Assessment Tool
 
Training need assessment in a 5star ho
Training need assessment in a 5star hoTraining need assessment in a 5star ho
Training need assessment in a 5star ho
 
Poster: Perspectives on Increasing Competency in Using Digital Practices and ...
Poster: Perspectives on Increasing Competency in Using Digital Practices and ...Poster: Perspectives on Increasing Competency in Using Digital Practices and ...
Poster: Perspectives on Increasing Competency in Using Digital Practices and ...
 
A Study on Data Mining Techniques, Concepts and its Application in Higher Edu...
A Study on Data Mining Techniques, Concepts and its Application in Higher Edu...A Study on Data Mining Techniques, Concepts and its Application in Higher Edu...
A Study on Data Mining Techniques, Concepts and its Application in Higher Edu...
 
Ict terbaru
Ict terbaruIct terbaru
Ict terbaru
 
Technology Enabled Learning to Improve Student Performance: A Survey
Technology Enabled Learning to Improve Student Performance: A SurveyTechnology Enabled Learning to Improve Student Performance: A Survey
Technology Enabled Learning to Improve Student Performance: A Survey
 
Technology Enabled Learning to Improve Student Performance: A Survey
Technology Enabled Learning to Improve Student Performance: A SurveyTechnology Enabled Learning to Improve Student Performance: A Survey
Technology Enabled Learning to Improve Student Performance: A Survey
 
Evaluation of in service training for senior staff of a public university in ...
Evaluation of in service training for senior staff of a public university in ...Evaluation of in service training for senior staff of a public university in ...
Evaluation of in service training for senior staff of a public university in ...
 

abstract

  • 1. 1 Technology Decision Making in Career Services Christine Kay Davis Timm, Ph.D. University of Nebraska, 2004 Adviser: Alan Seagren Student affairs offices used technological systems to manage interactions with student customers in a real time environment. Such student interaction management systems performed administrative tasks, provided usage reports, and, most importantly, delivered services directly to students. Career services used systems to record student interactions and facilitate interactions between students and career opportunities. The purpose of this study was to understand career center directors’ and staff’s perceptions of characteristics related to student interaction management system decision making. The study took place during November and December 2003. The review of literature included a brief history of values guiding student affairs and career services; technology usage in student affairs and career services; and challenges regarding technology selection and implementation. A case study methodology was used. Data were primarily collected through audio-taped phone interviews with ten women and nine men who served professional roles within career centers. Participants were selected due to their involvement in a collaborative project with their professional association to create a placement related student interaction management system. Analysis of the data was done through several levels of categorizing and coding information. In analyzing data collected from interviews with participants, the research questions were answered in five themes and four sub-themes. Customer behavior/needs was the first theme. Director was the second theme focusing on the
  • 2. 2 multiple roles of the director. The third theme was process with one sub-theme of change. The fourth theme was infrastructure and included three sub-themes: autonomy, resources, and technological tools. The fifth theme was recommendations and summarized the ideas presented within the other themes. In addition, participants described a chronology of technology usage in career centers. The findings revealed the need for strong leadership and a supportive infrastructure to make positive technology decisions. Career centers benefited through strategic planning processes focused on addressing customer needs when considering new or changed technology. Career center professionals were advised to gain technology decision making skills through individual activities, graduate courses, professional associations, and interactions with other professionals.