Faculty Profile

Catalin Dinulescu

Title
Adjunct Faculty
Department
ADA - Advanced Data Analytics
College
University of North Texas

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
Education

            



  

  


  
PhD, University of North Texas, 2019. 
Major: Business - Management Science
Dissertation Title: Relationship Quality in Social Commerce Decision-Making
MBA, University of Texas at Dallas, 2002. 
Major: Business Administration





          

        
                

          
Current Scheduled Teaching*


          
No current or future courses scheduled.


          
*
  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*


            
                    

                    ADTA 5830.501, Risk Management and Value Creation for Analytics, Fall 2023 Syllabus SPOT
                    

                    ADTA 5340.101, Discovery and Learning with Big Data, Summer 8W1 2023  SPOT
                    

                    ADTA 5340.113, Discovery and Learning with Big Data, Spring 8W2 2023 Syllabus SPOT
                    

                    ADTA 5240.100, Harvesting, Storing and Retrieving Data, Spring 8W1 2023 Syllabus SPOT
                    

                    ADTA 5240.101, Harvesting, Storing and Retrieving Data, Spring 8W1 2023 Syllabus SPOT
                    

                    IPAC 4240.100, Principles of Data Structures, Harvesting and Wrangling, Spring 8W1 2023 Syllabus SPOT
                    

                    ADTA 5240.111, Harvesting, Storing and Retrieving Data, Summer 8W2 2022 Syllabus SPOT
                    

                    DSCI 3710.002, Business Statistics with Spreadsheets, Summer 5W2 2019 Syllabus SPOT
                    

                    ADTA 5130.501, Data Analytics I, Summer 8W2 2019  SPOT
                    

                    CSCE 5310.501, Methods in Empirical Analysis, Summer 8W2 2019  SPOT
                    

                    DSCI 2710.501, Data Analysis with Spreadsheets, Fall 2018 Syllabus SPOT
                    

                    DSCI 3710.003, Business Statistics with Spreadsheets, Summer 5W2 2018 Syllabus SPOT
                    

                    DSCI 2710.501, Data Analysis with Spreadsheets, Fall 2017 Syllabus SPOT
                    

                    DSCI 3710.501, Business Statistics with Spreadsheets, Summer 5W1 2017 Syllabus SPOT
                    

                    DSCI 3710.004, Business Statistics with Spreadsheets, Spring 2017 Syllabus SPOT
                    

                    BCIS 3610.006, Basic Information Systems, Fall 2016 Syllabus SPOT
                    

                    DSCI 3710.501, Business Statistics with Spreadsheets, Summer 5W1 2016 Syllabus SPOT
                    

                    DSCI 3710.004, Business Statistics with Spreadsheets, Spring 2016 Syllabus SPOT
                    

                    DSCI 3710.002, Business Statistics with Spreadsheets, Fall 2015 Syllabus SPOT

          


          
*
  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


  
Conference Proceeding
Dinulescu, C. C. (2015). Antecedents of Customer Experience for Mobile Technology Service Providers. Southwest Decision Sciences Institute. 
Journal Article
Mandal, S., Marpu, S. B., Omary, M. A., Dinulescu, C. C., Prybutok, V. R., Shi, S. Q. (2022). Lignocellulosic-Based Activated Carbon-Loaded Silver Nanoparticles and Chitosan for Efficient Removal of Cadmium and Optimization Using Response Surface Methodology. Materials. 15(24), 8901. Multidisciplinary Digital Publishing Institute. https://www.mdpi.com/1996-1944/15/24/8901
Dinulescu, C. C., Visinescu, L., Prybutok, V. R., Sivitanides, M.  (2021). Customer Relationships, Privacy, and Security in Social Commerce. Journal of Computer Information Systems. https://doi.org/10.1080/08874417.2021.1975172
Dinulescu, C. C., Prybutok, V. R. (2021). In authority, or peers we trust? Reviews and recommendations in social commerce. Behaviour & Information Technology. https://www.tandfonline.com/doi/abs/10.1080/0144929X.2021.1957016?journalCode=tbit20
Prybutok, V. R., Tian, X., Hassanmirzaei, F., Dinulescu, C. C. (2020). Millennials Acceptance of Insurance Telematics: An Integrative Empirical Study. American Business Review. 23(1), . 
Ogbanufe, O., Dinulescu, C. C., Liu, X., Kucuk, C.  (2019). It’s in the Cloud: Theorizing Context- Specific Factors Influencing the Perception of Mobile Cloud Storage. The Data Base for Advances in Information Systems. 
Dinulescu, C. C., Visinescu, L., Prybutok, V. R. (2019). Proactive Management of Customer Relationship Quality: An Empirical Investigation of Mobile Technology Service Providers. Journal of Decision Systems. https://www.tandfonline.com/doi/full/10.1080/12460125.2019.1582605



	
		
		
	  

	

	

  
    
	

	

	  

		

		   	
		
		
	  

	

	

	
	

  
  
  

  	

		

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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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