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Nick’s rules for a good PhD education

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Manage episode 508129827 series 3680083
Content provided by Jan Recker and Nick Berente. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jan Recker and Nick Berente or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

We are together in South Bend and teach a class to PhD students in the Mendoza College of Business at the University of Notre Dame. Our joint teaching experience makes us wonder: What should all doctoral students learn or what should we all teach the next generation of IS students? We come up with Nick’s rules for a good PhD education: First, understand what knowledge and inferences are. Second, learn different methods and then deep dive into a primary method. Third, pick a domain and learn its foundations and history. Fourth, develop a mindset of mastery to become the world’s expert on your topic. And finally, develop and hone your writing skills.

Episode reading list

Bacon, F. (1620/2019). Novum Organum. Anodos.

Hume, D. (1748/1998). An Enquiry Concerning Human Understanding. In J. Perry & M. E. Bratman (Eds.), Introduction to Philosophy: Classical and Contemporary Readings (3rd ed., pp. 190-220). Oxford University Press.

Popper, K. R. (1959). The Logic of Scientific Discovery. Basic Books.

Yin, R. K. (2009). Case Study Research: Design and Methods (4th ed.). Sage Publications.

Berente, N., Ivanov, D., & Vandenbosch, B. (2007). Process Compliance and Enterprise Systems Implementation. In: Proceedings of the 40th Annual Hawaii International Conference on System Sciences. Waikoloa, Hawaii, pp. 222-231.

Castelo, N., Bos, M. W., & Lehmann, D. R. (2019). Task-Dependent Algorithmic Aversion. Journal of Marketing Research, 56(5), 809-825.

Recker, J. (2021). Scientific Research in Information Systems: A Beginner's Guide (2nd ed.). Springer.

Mackie, J. L. (1965). Causes and Conditions. American Philosophical Quarterly, 2(4), 245-264.

Gable, G. G. (1994). Integrating Case Study and Survey Research Methods: An Example in Information Systems. European Journal of Information Systems, 3(2), 112-126.

Chalmers, A. F. (2013). What Is This Thing Called Science? (4th ed.). Hackett.

Shadish, W. R., Cook, T. D., & Campbell, D. T. (2001). Experimental and Quasi-Experimental Designs for Generalized Causal Inference (2nd ed.). Houghton Mifflin.

Taylor, F. W. (1911). The Principles of Scientific Management. Harper and Bros.

March, J. G., & Simon, H. A. (1958). Organizations. John Wiley & Sons.

Nelson, R. R., & Winter, S. G. (1982). An Evolutionary Theory of Economic Change. Harvard University Press.

  continue reading

104 episodes

Artwork
iconShare
 
Manage episode 508129827 series 3680083
Content provided by Jan Recker and Nick Berente. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jan Recker and Nick Berente or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

We are together in South Bend and teach a class to PhD students in the Mendoza College of Business at the University of Notre Dame. Our joint teaching experience makes us wonder: What should all doctoral students learn or what should we all teach the next generation of IS students? We come up with Nick’s rules for a good PhD education: First, understand what knowledge and inferences are. Second, learn different methods and then deep dive into a primary method. Third, pick a domain and learn its foundations and history. Fourth, develop a mindset of mastery to become the world’s expert on your topic. And finally, develop and hone your writing skills.

Episode reading list

Bacon, F. (1620/2019). Novum Organum. Anodos.

Hume, D. (1748/1998). An Enquiry Concerning Human Understanding. In J. Perry & M. E. Bratman (Eds.), Introduction to Philosophy: Classical and Contemporary Readings (3rd ed., pp. 190-220). Oxford University Press.

Popper, K. R. (1959). The Logic of Scientific Discovery. Basic Books.

Yin, R. K. (2009). Case Study Research: Design and Methods (4th ed.). Sage Publications.

Berente, N., Ivanov, D., & Vandenbosch, B. (2007). Process Compliance and Enterprise Systems Implementation. In: Proceedings of the 40th Annual Hawaii International Conference on System Sciences. Waikoloa, Hawaii, pp. 222-231.

Castelo, N., Bos, M. W., & Lehmann, D. R. (2019). Task-Dependent Algorithmic Aversion. Journal of Marketing Research, 56(5), 809-825.

Recker, J. (2021). Scientific Research in Information Systems: A Beginner's Guide (2nd ed.). Springer.

Mackie, J. L. (1965). Causes and Conditions. American Philosophical Quarterly, 2(4), 245-264.

Gable, G. G. (1994). Integrating Case Study and Survey Research Methods: An Example in Information Systems. European Journal of Information Systems, 3(2), 112-126.

Chalmers, A. F. (2013). What Is This Thing Called Science? (4th ed.). Hackett.

Shadish, W. R., Cook, T. D., & Campbell, D. T. (2001). Experimental and Quasi-Experimental Designs for Generalized Causal Inference (2nd ed.). Houghton Mifflin.

Taylor, F. W. (1911). The Principles of Scientific Management. Harper and Bros.

March, J. G., & Simon, H. A. (1958). Organizations. John Wiley & Sons.

Nelson, R. R., & Winter, S. G. (1982). An Evolutionary Theory of Economic Change. Harvard University Press.

  continue reading

104 episodes

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