Associate Professor Sam Kirshner

Associate Professor Sam Kirshner

Associate Professor
Business School
School of Information Systems and Technology Management

Sam Kirshner is an Associate Professor in the School of Information Systems and Technology Management at the University of New South Wales. Sam completed his PhD in Management Science at Queen’s University, in Kingston, Canada. His primary research interests lie in analyzing behavioural decision making in operations and technology management and studying how algorithms and artificial intelligence impact decision making. His research and commentaries have been published in prestigious academic journals including Management Science, Decision Sciences, Production and Operations Management, Manufacturing & Service Operations Management, the European Journal of Operational Research, Journal of Behavioral Decision Making, Tourism Management, and Science.

Sam is also active in program development and teaching in Business Analytics at the UNSW Sydney. Sam teaches data visualisation, predictive analytics, and AI ethics to undergraduates, postgraduates, and MBAs. He is also the co-author of a new textbook entitled Business Analytics: A Management Approach and a member of the Ethical AI Advisory.

Phone
+61 (2) 9385 5517
  • Books | 2022
    Kirshner S; Vidgen R; Wallace C, 2022, Checkmate Humanity: The How and Why of Responsible AI
    Books | 2019
    Vidgen R; Kirshner SN; Tan F, 2019, Business Analytics A Management Approach, Red Globe Press
  • Journal articles | 2023
    Balaguer-Mercado A; Kirshner SN; Tseng CL, 2023, 'Sustainable Supplier Selection under Financial Hardships: The Conflicting Impact of Spatial and Temporal Psychological Distances', Sustainability (Switzerland), 15, http://dx.doi.org/10.3390/su15129561
    Journal articles | 2023
    Kirshner SN; Moritz BB, 2023, 'For the future and from afar: Psychological distance and inventory decision-making', Production and Operations Management, 32, pp. 170 - 188, http://dx.doi.org/10.1111/poms.13829
    Journal articles | 2023
    Kirshner SN, 2023, 'Detecting regime shifts: the role of construal levels on system neglect', Applied Economics Letters, 30, pp. 131 - 135, http://dx.doi.org/10.1080/13504851.2021.1979188
    Journal articles | 2023
    Liu N; Kirshner S; Lim E, 2023, 'Is Algorithm Aversion WEIRD? A Cross-Country Comparison of Individual-Differences and Algorithm Aversion', Journal of Retailing and Consumer Services
    Journal articles | 2022
    Cahalane M; Kirshner SN; Ting A, 2022, 'Does virtual reality lower construal levels?', Computers in Human Behavior Reports, 7, http://dx.doi.org/10.1016/j.chbr.2022.100205
    Journal articles | 2022
    Kirshner SN; Li Z, 2022, 'Supply chain contracting with competing regretful retailers', Managerial and Decision Economics, 43, pp. 2196 - 2211, http://dx.doi.org/10.1002/mde.3518
    Journal articles | 2022
    2022, 'Social media: Good or evil?', Science, 375, pp. 608 - 609, http://dx.doi.org/10.1126/science.abo2409
    Journal articles | 2021
    Bai T; Kirshner SN; Wu M, 2021, 'Managing Overconfident Newsvendors: A Target-Setting Approach', Production and Operations Management, 30, pp. 3967 - 3986, http://dx.doi.org/10.1111/poms.13490
    Journal articles | 2021
    Barnes SJ; Kirshner SN, 2021, 'Understanding the impact of host facial characteristics on Airbnb pricing: Integrating facial image analytics into tourism research', Tourism Management, 83, http://dx.doi.org/10.1016/j.tourman.2020.104235
    Journal articles | 2021
    Kirshner S, 2021, 'Forging remote relationships', Science, 372, pp. 24 - 24, http://dx.doi.org/10.1126/science.abi4726
    Journal articles | 2021
    Kirshner SN; Moritz BB, 2021, 'Measuring demand chasing behavior', Decision Sciences, http://dx.doi.org/10.1111/deci.12518
    Journal articles | 2021
    Li Z; Kirshner SN, 2021, 'Salesforce Compensation and Two-Sided Ambiguity: Robust Moral Hazard with Moment Information', Production and Operations Management, 30, pp. 2944 - 2961, http://dx.doi.org/10.1111/poms.13412
    Journal articles | 2021
    Protzko J; Tanner IZ; Dedyo MD; Fu JJ; Perma B; Friedman DA; Blidner AG; Johnston JT; Srivastava AK; Ruscher R; Kupz A; Tarselli MA; Beardsley F; Jensen MM; Konstantinides N; Agarwal D; Yuen J; Gopinath SD; Duong MT; Strong M; Soták M; Burnette K; Kirshner SN; Nikolaou A; Ali BA; de Oliveira BA; Sojli E, 2021, 'Defining events: 2020 in hindsight', Science, 371, pp. 22 - 24, http://dx.doi.org/10.1126/science.abg0904
    Journal articles | 2021
    Van Toorn C; Kirshner SN; Gabb J, 2021, 'Gamification of query-driven knowledge sharing systems', Behaviour and Information Technology, pp. 1 - 22, http://dx.doi.org/10.1080/0144929X.2020.1849401
    Journal articles | 2020
    Antoniou C; Burnette K; Christensen-Quick A; Lewinska M; Ji Y; Khalifa MM; Nikolaou A; Srivastava P; Hollingsworth BA; van Rhijn N; Saurabh S; Konstantinides N; Heim AB; Moore EB; Strong M; Kosanic A; Kirshner SN; Halder A; Waiho K, 2020, 'Seeking career clarity.', Science, 368, pp. 26 - 28, http://dx.doi.org/10.1126/science.abb6859
    Journal articles | 2020
    Kirshner SN; Li Z, 2020, 'Oligopoly newsvendor competition with reference effects', Operations Research Letters, 48, pp. 787 - 791, http://dx.doi.org/10.1016/j.orl.2020.09.006
    Journal articles | 2020
    Kirshner SN; Moritz BB, 2020, 'Comment on "newsvendor demand chasing revisited"', Management Science, 66, pp. 6062 - 6064, http://dx.doi.org/10.1287/mnsc.2019.3489
    Journal articles | 2020
    Kirshner SN, 2020, 'Construal level theory and risky decision making following near-miss events', Journal of Behavioral Decision Making, http://dx.doi.org/10.1002/bdm.2216
    Journal articles | 2020
    Sills J; Lata C; Mehrian-Shai R; Cao B; Kothapalli NR; Singh G; Friedman DA; Cheung FMH; Richter WE; Kirshner SN; Beardsley F; Wu XY, 2020, 'Funding fix: Spend time', Science, 370, pp. 30 - 31, http://dx.doi.org/10.1126/science.abe6015
    Journal articles | 2019
    Kirshner S; Ovchinnikov, A, 2019, 'Heterogeneity of Reference Effects in the Competitive Newsvendor Problem', Manufacturing and Service Operations Management, 21, pp. 571 - 581, http://dx.doi.org/10.1287/msom.2018.0708
    Journal articles | 2019
    Kirshner SN; Shao L, 2019, 'The overconfident and optimistic price-setting newsvendor', European Journal of Operational Research, 277, pp. 166 - 173, http://dx.doi.org/10.1016/j.ejor.2019.02.023
    Journal articles | 2018
    Kirshner SN; Shao L, 2018, 'Internal and external reference effects in a two-tier supply chain', European Journal of Operational Research, 267, pp. 944 - 957, http://dx.doi.org/10.1016/j.ejor.2017.12.035
    Journal articles | 2017
    Kirshner SN; Levin Y; Nediak M, 2017, 'Product Upgrades with Stochastic Technology Advancement, Product Failure, and Brand Commitment', Production and Operations Management, 26, pp. 742 - 756, http://dx.doi.org/10.1111/poms.12680
    Journal articles | 2015
    Kirshner SN; Nediak M, 2015, 'Scalable Dynamic Bid Prices for Network Revenue Management in Continuous Time', Production and Operations Management, 24, pp. 1621 - 1635, http://dx.doi.org/10.1111/poms.12356
  • Conference Papers | 2021
    Kirshner S; Cahalane M; Feng H, 2021, 'Exploring Algorithm Aversion Through Construal Level Theory', in ECIS 2021 Research-in-Progress Papers, Morocco, presented at European Conference on Information Systems, Morocco, 14 June 2021, https://aisel.aisnet.org/ecis2021_rip/41/
    Creative Written Works | 2021
    Kirshner S, 2021, Pandemic haiku., Science, https://www.ncbi.nlm.nih.gov/pubmed/34210863
    Conference Papers | 2016
    Choi B; Kirshner S; Wu Y, 2016, 'Swiping vs Scrolling in Mobile Shopping Applications', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Toronto, Canada, pp. 177 - 188, presented at HCI International 2016, Toronto, Canada, 17 July 2016 - 22 July 2016, http://dx.doi.org/10.1007/978-3-319-39396-4_16
    Conference Papers | 2011
    Kirshner S, 2011, 'Optimizing an NBA Team’s Approach to Free Agency using a Multiple-Choice Knapsack Model', in MIT Sloan Sports Analytics Conference 2011, MIT Sloan Sports Analytics Conference 2011, Boston, MA, USA, presented at MIT Sloan Sports Analytics Conference 2011, Boston, MA, USA, 11 March 2011 - 12 March 2011, http://www.sloansportsconference.com/?p=2846

My Research Supervision

I am currently supervising 2 doctoral students and 6 honour students.