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Arash Negahban

Title:

Department: Information Technology and Decision Sciences

College: College of Business

Curriculum Vitae

Curriculum Vitae Link

Education

  • , University of North Texas, 2015
    Major: Information systems
    Specialization: Decision sciences
  • MBA, Sharif University of Technology, 2008
    Major:
  • BS, Azad University (Central Tehran Campus), 2004
    Major: Computer Science
    Specialization: Software Engineering
    Dissertation: Application of Model Driven Architecture (MDA) in development of business information systems

Current Scheduled Teaching

No current or future courses scheduled.

Previous Scheduled Teaching

DSCI 3710.004Business Statistics with SpreadsheetsSummer 5W1 2015 Syllabus SPOT
DSCI 3710.006Business Statistics with SpreadsheetsSpring 2015 Syllabus
BCIS 3610.002Basic Information SystemsFall 2014 Syllabus
BCIS 2610.004Introduction to Computers in BusinessFall 2013 Syllabus
BCIS 2610.001Introduction to Computers in BusinessSummer 5W1 2013 Syllabus

Published Intellectual Contributions

    Conference Proceeding

  • Johnson, V.L., Torres, R.R., Negahban, A. (2015). The Impact of Privacy Risk on M-Payment Service Adoption. Annual Information Institute Conference.
  • Chandna, V., Negahban, A. (2014). Examining the relationships among work centrality, type of work, and life satisfaction, in a global context. Southwest Academy of Management (SWAM).
  • Negahban, A. (2013). From adoption to addiction: The case of mobile addiction. Decision Sciences Institute Annual Conference.
  • Negahban, A., Kim, D., Kim, C. (2012). A Study of Enhancing Business Performance by mCRM from Resource-based View. Post-ICIS 2012 LG CNS/KrAIS Workshop. http://www.kmis.or.kr/News/Introduction_view.asp?no=487
  • Negahban, A. (2012). Factors Affecting Individual's Intention to Purchase Smartphones from Technology Adoption and Technology Dependence Perspectives. AMCIS. http://aisel.aisnet.org/amcis2012/proceedings/AdoptionDiffusionIT/5/
  • Journal Article

  • Negahban, A., Kim, D., Kim, C. (2016). Unleashing the Power of mCRM: Investigating Antecedents of Mobile CRM Values from Managers’ Viewpoint. International Journal of Human-Computer Interaction. 32 (10) 747-764. http://dx.doi.org/10.1080/10447318.2016.1189653
  • Negahban, A., Chung, C. (2014). Discovering Determinants of Users Perception of Mobile Device Functionality Fit. Computers in Human Behavior. 35 (June 2014) 75-84. http://www.sciencedirect.com/science/article/pii/S0747563214000806
  • Salehan, M., Negahban, A. (2013). Social networking on smartphones: When mobile phones become addictive. Computers in Human Behavior. 29 (6) 2632-2639. http://www.sciencedirect.com/science/article/pii/S0747563213002410
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Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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