Faculty Profile

Russell Torres

Title
Associate Professor
Department
Information Technology and Decision Sciences
College
College of Business

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
Education

            



  

  


  
PhD, University of North Texas, 2015. 
Major: Business Computer Information Systems
Degree Specialization: Decision Science
Dissertation Title: Organizational Competency through Information:  Business Intelligence and Analytics as a Tool for Process Dynamization
MS, Texas A&M University, 2000. 
Major: Management Information Systems
BS, Texas A&M University, 1997. 
Major: Bio-Environmental Science





          

        
                

          
Current Scheduled Teaching*


          
DSCI 5360.002, Data Visualization, Summer 2024 
DSCI 5360.003, Data Visualization, Summer 2024 
DSCI 5240.040, Data Mining and Machine Learning for Business, Spring 2024 Syllabus
BCIS 5650.002, Emerging Information Technologies, Spring 2024 Syllabus


          
*
  Texas Education Code 51.974 (HB 2504) requires each institution of
  higher education to make available to the public, a syllabus for
  undergraduate lecture courses offered for credit by the institution.
  

        

      

    

  


    

    

      


        


          


            
Previous Scheduled Teaching*


            
                    

                    BUSI 6450.001, Business Research Methods, Fall 2023 Syllabus SPOT
                    

                    DSCI 5240.009, Data Mining and Machine Learning for Business, Fall 2023 Syllabus SPOT
                    

                    DSCI 5360.002, Data Visualization, Summer 3W1 2023 Syllabus
                    

                    DSCI 5360.003, Data Visualization, Summer 3W1 2023 Syllabus
                    

                    DSCI 5240.040, Data Mining and Machine Learning for Business, Spring 2023 Syllabus SPOT
                    

                    DSCI 5360.007, Data Visualization, Spring 2023 Syllabus SPOT
                    

                    BUSI 6450.001, Business Research Methods, Fall 2022 Syllabus SPOT
                    

                    DSCI 5240.002, Data Mining and Machine Learning for Business, Fall 2022 Syllabus SPOT
                    

                    DSCI 5240.003, Data Mining and Machine Learning for Business, Fall 2022 Syllabus SPOT
                    

                    MSCI 6900.703, Special Problems, Fall 2022  SPOT
                    

                    DSCI 5360.003, Data Visualization, Summer 3W1 2022 Syllabus SPOT
                    

                    DSCI 5360.004, Data Visualization, Summer 3W1 2022 Syllabus SPOT
                    

                    DSCI 5360.005, Data Visualization, Summer 3W1 2022 Syllabus SPOT
                    

                    DSCI 5360.006, Data Visualization, Summer 3W1 2022 Syllabus SPOT
                    

                    BCIS 6950.756, Doctoral Dissertation, Summer 5W1 2022 
                    

                    DSCI 5240.040, Data Mining and Machine Learning for Business, Spring 2022 Syllabus SPOT
                    

                    DSCI 5360.003, Data Visualization, Spring 2022 Syllabus SPOT
                    

                    BCIS 6950.002, Doctoral Dissertation, Spring 2022 
                    

                    BUSI 6450.001, Business Research Methods, Fall 2021 Syllabus SPOT
                    

                    DSCI 5240.002, Data Mining and Machine Learning for Business, Fall 2021 Syllabus SPOT
                    

                    DSCI 5240.003, Data Mining and Machine Learning for Business, Fall 2021 Syllabus SPOT
                    

                    DSCI 5240.601, Data Mining and Machine Learning for Business, Fall 2021 Syllabus SPOT
                    

                    MSCI 6900.703, Special Problems, Fall 2021  SPOT
                    

                    DSCI 5360.001, Data Visualization, Summer 3W1 2021 Syllabus SPOT
                    

                    DSCI 5360.002, Data Visualization, Summer 3W1 2021 Syllabus SPOT
                    

                    DSCI 5360.003, Data Visualization, Summer 3W1 2021 Syllabus SPOT
                    

                    DSCI 5360.004, Data Visualization, Summer 3W1 2021 Syllabus SPOT
                    

                    DSCI 5360.005, Data Visualization, Summer 3W1 2021 Syllabus SPOT
                    

                    DSCI 5360.501, Data Visualization, Summer 3W1 2021 Syllabus SPOT
                    

                    DSCI 5240.040, Data Mining and Machine Learning for Business, Spring 2021 Syllabus SPOT
                    

                    DSCI 5360.001, Data Visualization, Spring 2021 Syllabus SPOT
                    

                    DSCI 5360.501, Data Visualization, Spring 2021 Syllabus SPOT
                    

                    MSCI 6900.750, Special Problems, Spring 2021  SPOT
                    

                    DSCI 5240.001, Data Mining and Machine Learning for Business, Fall 2020 Syllabus SPOT
                    

                    DSCI 5240.002, Data Mining and Machine Learning for Business, Fall 2020 Syllabus SPOT
                    

                    DSCI 5240.003, Data Mining and Machine Learning for Business, Fall 2020 Syllabus
                    

                    DSCI 5240.026, Data Mining and Machine Learning for Business, Fall 2020 Syllabus SPOT
                    

                    DSCI 5240.501, Data Mining and Machine Learning for Business, Fall 2020 Syllabus SPOT
                    

                    DSCI 5360.001, Data Visualization, Summer 5W1 2020 Syllabus SPOT
                    

                    DSCI 5360.001, Data Visualization, Summer 3W1 2020 Syllabus SPOT
                    

                    DSCI 5360.002, Data Visualization, Summer 3W1 2020 Syllabus SPOT
                    

                    DSCI 5360.501, Data Visualization, Summer 3W1 2020 Syllabus SPOT
                    

                    BCIS 6940.762, Individual Research, Summer 10W 2020 
                    

                    DSCI 5240.040, Data Mining and Machine Learning for Business, Spring 2020 
                    

                    DSCI 5360.001, Data Visualization, Spring 2020 
                    

                    BCIS 6940.706, Individual Research, Spring 2020 
                    

                    DSCI 5240.001, Data Mining and Machine Learning for Business, Fall 2019 Syllabus SPOT
                    

                    DSCI 5240.002, Data Mining and Machine Learning for Business, Fall 2019 Syllabus SPOT
                    

                    DSCI 5240.003, Data Mining and Machine Learning for Business, Fall 2019 Syllabus SPOT
                    

                    DSCI 5240.501, Data Mining and Machine Learning for Business, Fall 2019 Syllabus SPOT
                    

                    MSCI 6900.701, Special Problems, Fall 2019 Syllabus SPOT
                    

                    MSCI 6900.705, Special Problems, Fall 2019 Syllabus SPOT
                    

                    DSCI 5360.001, Data Visualization, Summer 3W1 2019 Syllabus SPOT
                    

                    DSCI 5360.002, Data Visualization, Summer 3W1 2019 Syllabus SPOT
                    

                    DSCI 5360.501, Data Visualization, Summer 3W1 2019 Syllabus SPOT
                    

                    BCIS 6940.762, Individual Research, Summer 10W 2019 
                    

                    MSCI 6900.750, Special Problems, Summer 3W1 2019 
                    

                    DSCI 5240.040, Data Mining, Spring 2019  SPOT
                    

                    DSCI 5360.001, Data Visualization, Spring 2019  SPOT
                    

                    DSCI 5360.501, Data Visualization, Spring 2019  SPOT
                    

                    MSCI 6900.750, Special Problems, Spring 2019  SPOT
                    

                    BCIS 4800.712, Cooperative Education, Fall 2018 
                    

                    DSCI 4800.712, Cooperative Education, Fall 2018 Syllabus
                    

                    DSCI 5240.001, Data Mining, Fall 2018  SPOT
                    

                    DSCI 5240.501, Data Mining, Fall 2018  SPOT
                    

                    MSCI 6900.701, Special Problems, Fall 2018  SPOT
                    

                    MSCI 6900.703, Special Problems, Fall 2018  SPOT
                    

                    BCIS 4800.712, Cooperative Education, Summer 10W 2018 Syllabus
                    

                    DSCI 4800.712, Cooperative Education, Summer 10W 2018 Syllabus
                    

                    DSCI 5800.762, Cooperative Education, Summer 10W 2018 
                    

                    BCIS 4800.712, Cooperative Education, Spring 2018 Syllabus
                    

                    DSCI 5800.762, Cooperative Education, Spring 2018 
                    

                    DSCI 5240.040, Data Mining, Spring 2018  SPOT
                    

                    DSCI 4520.001, Introduction to Data Mining, Spring 2018 Syllabus SPOT
                    

                    DSCI 5240.001, Data Mining, Fall 2017  SPOT
                    

                    DSCI 5240.501, Data Mining, Fall 2017  SPOT
                    

                    BCIS 3610.501, Basic Information Systems, Summer 5W1 2016 Syllabus SPOT
                    

                    DSCI 2710.004, Data Analysis with Spreadsheets, Summer 5W1 2015 Syllabus SPOT
                    

                    BCIS 2610.004, Introduction to Computers in Business, Fall 2014 Syllabus
                    

                    BCIS 2610.002, Introduction to Computers in Business, Summer 5W2 2014 Syllabus
                    

                    BCIS 3610.001, Basic Information Systems, Spring 2014 Syllabus
                    

                    BCIS 2610.006, Introduction to Computers in Business, Fall 2013 Syllabus
                    

                    BCIS 2610.002, Introduction to Computers in Business, Summer 5W2 2013 Syllabus

          


          
*
  Texas Education Code 51.974 (HB 2504) requires each institution of
  higher education to make available to the public, a syllabus for
  undergraduate lecture courses offered for credit by the institution.
  

        

      

    

  

  
  	

	

	  

		

		   
Published Publications



  

  
Published Intellectual Contributions


  
Abstracts and Proceedings
Gerhart, N., Torres, R. R., Giddens, L.  (2023). Towards an Agile CRISP-DM Process. Proceedings of the Eighteenth Midwest Association for Information Systems Conference. https://aisel.aisnet.org/mwais2023/17/
Gerhart, N., Torres, R. R. (2022). The Truth About Numbers: Subjectivity in the CRISP-DM Process. MWAIS 2022 Proceedings. https://aisel.aisnet.org/mwais2022/22/
Mamun, M., Senn, W., Prybutok, V. R., Torres, R., Peak, D.  (2020). User Satisfaction and Information Technology Continuance Behavior. Annual Conference of the Decision Sciences Institute.. 
Mamun, M., Senn, W., Torres, R. R., Peak, D. A., Prybutok, V. R. The Contribution of Emotional Satisfaction in IT Continuance Behavior:  An Extension of Expectation-Confirmation model. DSI-2019. 
Book
Sidorova, A., Evangelopoulos, N., Torres, R., Johnson, V.  (2013). A Survey of Core Research in Information Systems.  New York: Springer. 
Book Chapter
Sidorova, A., Torres, R., Al Beayeyz, A.  (2015). The Role of Information and ICT in Business Process Management. Handbook on Business Process Management. Springer. 
Conference Proceeding
George, J., Torres, R., Gerhart, N.  (2020). Foundations of Fake News. Americas Conference on Information Systems. 
Kim, K., Torres, R.  (2020). The Role of AI in Perceptions of Distributive, Procedural, and Interactional Justice. Americas Conference on Information Systems. 
Torres, R. R., Gerhart, N.  (2019). When is Enough, Enough?  The Critical Decision to Stop Building Business Analytics Models. Americas Conference on Information Systems. 
Torres, R. R., Gerhart, N., Negahban, A.  (2018). Combating Fake News: An Investigation of Information Verification Behaviors on Social Networking Sites. Hawaii International Conference on System Sciences. 
Gerhart, N., Torres, R. R., Negahban, A.  (2017). Combating Fake News: An Investigation of Individuals' Information Verification Behaviors on Social Networking Sites. Americas Conference on Information Systems. 
Johnson, V. L., Torres, R. R., Negahban, A.  (2015). The Impact of Privacy Risk on M-Payment Service Adoption. Annual Information Institute Conference. 
Torres, R. R., Sidorova, A.  (2015). Business Intelligence and Analytics as a Foundation for Organizational Dynamic Capabilities. Americas Conference on Information Systems. 
Sidorova, A., Torres, R. R. (2014). Business Intelligence and Analytics: A Capabilities Dynamization View. Americas Conference on Information Systems. 
Gerhart, N., Johnson, V. L., Torres, R. R. (2014). The Impact of Privacy Concerns on Mobile Banking: Adaptation of the IS Continuance Model. Annual Information Institute Conference. 
Torres, R.  (2012). Developer-Led Adoption of Open Source Software Libraries: A Conceptual Model. Americas Conference on Information Systems. 
Johnson, V., Torres, R., Imhonde, B.  (2012). Mobile eBook Reader Adoption: Content Availability and the Influence of Hedonic and Utilitarian Forces. ICIS - DIGIT 2012. 
Journal Article
Johnson, V., Maurer, C., Torres, R., Guerra, K., Srivastava, S., Mohit, H., Srivastava, S., Chatterjee, S.  (2024). The 2023 SIM IT Issues and Trends Study. MIS Quarterly Executive. 23(1), 83-124. 
Johnson, V., Torres, R., Maurer, C., Chatterjee, S., Guerra, K., Mohit, H., Srivastava, S.  (2023). A Preview of the 2023 SIM IT Trends Study. MIS Quarterly Executive. 22(4), . MISQ Executive. 
Ogbanufe, O., Torres, R., Guerra, K.  (2023). BYOA and Security: Examining Perspective-Taking and Self-Determination. Journal of Computer Information Systems. 
Gerhardt, N., Torres, R. R., Giddens, L. G. (2023). Challenges in the Model Development Process:  Discussions with Data Scientists. Communications of the Association for Information Systems. 53(1), 591-611. 
Johnson, V., Torres, R., Maurer, C., Guerra, K., Srivastava, S., Mohit, H.  (2023). The 2022 SIM IT Issues and Trends Study. MIS Quarterly Executive. 22(1), 55-99. 
Johnson, V., Torres, R., Maurer, C., Srivastava, S., Guerra, K., Mohit, H.  (2022). A Preview of the 2022 SIM IT Trends Study. MIS Quarterly Executive. 20(4), . MISQ Executive. 
Nguyen, Q., Sidorova, A., Torres, R.  (2022). User interactions with chatbot interfaces vs. Menu-based interfaces: An empirical study. Computers in Human Behavior. 128, . https://www.sciencedirect.com/science/article/abs/pii/S0747563221004167
Nguyen, Q., Sidorova, A., Torres, R.  (2022). Artificial Intelligence in Business: A Literature Review and Research Agenda. Communications of the Association for Information Systems. https://aisel.aisnet.org/cais/vol50/iss1/7/
Al Mamun, M., Prybutok, V. R., Peak, D. A., Torres, R. R., Pavur, R. J. (2022). The Role of Emotional Attachment in IPA Continuance Intention: An Emotional Attachment Model. Information Technology & People.  Bradfor: Emerald Publishing. https://www.emerald.com/insight/content/doi/10.1108/ITP-09-2020-0643/full/html#:~:text=Key%20findings%20suggest%20that%20EA,disciplines%20to%20an%20IT%20context.
Kappelman, L. A., Torres, R., McLean, E., Johnson, V., Maurer, C., Snyder, M., Guerra, K.  (2022). The 2021 SIM IT Issues and Trends Study. MIS Quarterly Executive. 21(1), 75-114. 
Kappelman, L. A., Torres, R., Guerra, K., Johnson, V., Maurer, C., Srivastava, S., Guerra, K.  (2021). A Preview of the 2021 SIM IT Trends Study. MIS Quarterly Executive. 20(4), . MISQ Executive. 
George, J., Gerhart, N., Torres, R.  (2021). Uncovering the Truth about Fake News: A Multi-Disciplinary Review of Fake News Literature. Journal of Management Information Systems. 38(4), 1067-1094. 
Gerhart, N., Ogbanufe, O., Torres, R., Sidorova, A., Evangelopoulos, N.  (2021). Effort Minimization Theory in the Data Analytics Era. Journal of Computer Information Systems. 
Kappelman, L. A., Torres, R., McLean, E., Johnson, V., Maurer, C., Kim, K., Guerra, K., Snyder, M.  (2021). The 2020 SIM IT Issues and Trends Study. MIS Quarterly Executive. 20(1), . 
Kappelman, L. A., Torres, R., Guerra, K., Johnson, V., Maurer, C., Kim, K., Srivastava, S.  (2020). A Preview of the 2020 SIM IT Trends Study. MIS Quarterly Executive. 19(4), . MISQ Executive. 
Mamun, M., Senn, W., Peak, D. A., Prybutok, V. R., Torres, R. R. (2020). Emotional Satisfaction and IS Continuance Behavior: Reshaping the Expectation-Confirmation Model. International Journal of Human-Computer Interaction.  Denton:. 1155 Union Circle #311160,
Kappelman, L. A., Johnson, V., Torres, R., Kim, K., Guerra, K., McLean, E., Maurer, C.  (2020). The 2019 SIM IT Issues and Trends Study. MIS Quarterly Executive. 18(1), 51-86. 
Kappelman, L., Johnson, V., Maurer, C., Katie, G., Ephraim, M., Torres, R., Snyder, M., Kim, K.  (2020). The 2019 SIM IT Issues and Trends Study. MIS Quarterly Executive. 19(1), 69-104.  Bloomington, IN: MIS Quarterly Executive. 
Kappelman, L. A., Torres, R. R., McLeon, E., Guerra, K., Johnson, V., Maurer, C., Kim, K., Snyder, M.  (2019). A Preview of the 2019 SIM IT Trends Study. MIS Quarterly Executive. 18(4), vii-viii. 
Torres, R. R., Sidorova, A.  (2019). Reconceptualizing Information Quality as Effective Use in the Context of Business Intelligence and Analytics. International Journal of Information Management. 
Torres, R. R., Gerhart, N.  (2019). Mobile Proximity Usage Behaviors Based on User Characteristics. Journal of Computer Information Systems. 
Kappelman, L. A., McLeon, E., Johnson, V., Torres, R. R., Maurer, C., Kim, K.  (2018). A Preview of the 2018 SIM IT Trends Study. MIS Quarterly Executive. 17(3), vii-viii. 
Kappelman, L. A., McLean, E., Johnson, V., Torres, R. R., Nguyen, Q., Maurer, C., David, A.  (2018). The 2017 SIM IT Key Issues and Trends Study. MIS Quarterly Executive. 17(1), 53-88. 
Torres, R. R., Sidorova, A., Jones, M. C. (2018). Enabling Firm Performance through Business Intelligence and Analytics: A Dynamic Capabilities Perspective. Information & Management. 55(7), 822-839. 
Torres, R. R., Gerhart, N., Negahban, A.  (2018). Epistemology in the Era of Fake News:  An Exploration of Information Verification Behaviors among Social Networking Site Users. The Data Base for Advances in Information Systems. 
Kappelman, L. A., Johnson, V., Torres, R. R., Maurer, C., McLean, E.  (2018). A Study of Information Systems Issues, Practices, and Leadership in Europe. European Journal of Information Systems. 28(1), 26-42. 
Johnson, V., Kiser, A., Washington, R., Torres, R. R. (2018). Limitations to the Rapid Adoption of M-Payment Services: Understanding the Impact of Privacy Risk on M-Payment Services. Computers in Human Behavior. 79, 111-122. 
Kappelman, L. A., Johnson, V., Nguyen, Q., David, A., McLean, E., Torres, R. R., Maurer, C.  (2017). Guest Editorial: A Preview of the 2017 SIM IT Trends Study. MIS Quarterly Executive. 16(4), . 
Kappelman, L. A., McLean, E., Johnson, V., Torres, R. R., Maurer, C., Nguyen, Q.  (2017). The 2016 SIM IT Key Issues and Trends Study. MIS Quarterly Executive. 16(1), 47-80 & A1-A10. 
Kappelman, L. A., Johnson, V. L., Maurer, C., McLean, E., Torres, R. R. (2016). A Preview of the 2016 IT Trend Study. MIS Quarterly Executive. 15(4), . 
Kappelman, L. A., McLean, E., Johnson, V., Torres, R. R. (2016). The 2015 SIM IT Issues and Trends Study. MIS Quarterly Executive. 15(1), . 
Torres, R. R., Sidorova, A.  (2015). The Effect of Business Process Configurations on User Motivation. Business Process Management Journal. 21(3), 541-563. 
Kappelman, L. A., McLean, E., Johnson, V., Torres, R. R. (2015). Guest Editorial: A Preview of the 2015 SIM IT Trends Study. MIS Quarterly Executive. 14(4), . 
Torres, R., Johnson, V., Imhonde, B.  (2014). The Impact of Content Type and Availability on eBook Reader Adoption. Journal of Computer Information Systems. 54(4), 42-51. 
Research Report
Johnson, V., Torres, R., Maurer, C., Guerra, K., Srivastava, S., Mohit, H., Chatterjee, S.  (2023). Issues, Investments, Concerns & Practices of Organizations, and their IT Organizations: 2024 Comprehensive Report. 49. Society of Information Management. 
Johnson, V., Torres, R., Maurer, C., Guerra, K., Srivastava, S., Mohit, H.  (2022). Issues, Investments, Concerns & Practices of Organizations, and their IT Organizations: 2023 Comprehensive Report. 49. Society of Information Management. 
Kappelman, L., Torres, R., Ephraim, M., Maurer, C., Johnson, V., Snyder, M., Guerra, K., Srivastava, S.  (2021). Issues, Investments, Concerns & Practices of Organizations, and their IT Organizations: 2022 Comprehensive Report. 49. Society of Information Management. 



	
		
		
	  

	

	

  
    
	

	

	  

		

		   
Awarded Grants



  
  
  	  
          
Contracts, Grants and Sponsored Research  

 	 
	 	 
  
Grant - Research   
Torres, R. (Principal), Gerhart, N. (Co-Principal), "G. Brint Ryan Collage of Business Summer Research Grant," Sponsored by G. Brint Ryan Collage of Business, University of North Texas, $10000 Funded. (May 21, 2020 – Present).
Niranjan, S. (Principal), Chan, S. (Principal), Torres, R. (Co-Principal), "Evaluating Bias in Predictive and Explainable ML Algorithms Among Older Adults with Cancer," Sponsored by National Institute of Health (Sub-Awarded via UNTHSC AIM-Ahead Grant), Federal, $837907 Funded. (October 2022 – March 16, 2024).



	
		
		
	  

	

	

	
	

  
  
  

  	

		

		,  
			
				

					
					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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