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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 ÁñÁ«¹ÙÍø 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 | 2024
    Balaguer-Mercado A; Kirshner SN; Tseng CL, 2024, 'Temporal distance in dual sourcing: A behavioural investigation', Managerial and Decision Economics,
    Journal articles | 2024
    Browne O; Cumming D; Hutchinson MC; Kirshner SN; O'Reilly P, 2024, 'Why Avoid Participating in an Accelerator? Countersignalling by High-Quality FinTech Ventures', British Journal of Management,
    Journal articles | 2024
    Filelis-Papadopoulos CK; Kirshner SN; O’Reilly P, 2024, 'Sustainability with Limited Data: A Novel Predictive Analytics Approach for Forecasting CO2 Emissions', Information Systems Frontiers,
    Journal articles | 2024
    Guler N; Kirshner SN; Vidgen R, 2024, 'A literature review of artificial intelligence research in business and management using machine learning and ChatGPT', Data and Information Management, 8,
    Journal articles | 2024
    Huang W; Nguyen J; Tseng C-L; Chen W; Kirshner SN, 2024, 'Pride or Guilt? Impacts of Consumers’ Socially Influenced Recycling Behaviors on Closed-Loop Supply Chains', Manufacturing & Service Operations Management,
    Journal articles | 2024
    Kirshner SN, 2024, 'GPT and CLT: The impact of ChatGPT's level of abstraction on consumer recommendations', Journal of Retailing and Consumer Services, 76,
    Journal articles | 2024
    Singh G; Teng D; Chen Y; Turki H; Bouchard LF; Chugh M; Wen J; Chen EYS; Bezerra P; Wu LB; Huang J; Wen Q; Hartzell C; Stroup B; Klinger M; Perez EC; Virguez E; Kirshner SN; Xu C; Sharma V, 2024, 'Changing outdated expectations', Science, 383, pp. 24 - 26,
    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,
    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,
    Journal articles | 2023
    Kirshner SN, 2023, 'Detecting regime shifts: the role of construal levels on system neglect', Applied Economics Letters, 30, pp. 131 - 135,
    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, 72, pp. 103259 - 103259,
    Journal articles | 2022
    Cahalane M; Kirshner SN; Ting A, 2022, 'Does virtual reality lower construal levels?', Computers in Human Behavior Reports, 7, pp. 100205,
    Journal articles | 2022
    Kirshner S, 2022, 'Social media: Good or evil?', Science, 375, pp. 608 - 609,
    Journal articles | 2022
    Kirshner SN; Li Z, 2022, 'Supply chain contracting with competing regretful retailers', Managerial and Decision Economics, 43, pp. 2196 - 2211,
    Journal articles | 2022
    Sills J; Tang R; Bharani T; Ding J; Li K; Wen J; Gopinath SD; Lin TJ; Luo JXJ; Wen Q; Davis K; van Rhijn N; Anderson SM; Patel RJ; Sarnala S; Oda FS; Singh G; Kothapalli NR; Scott N; Powell JR; Kirshner SN, 2022, 'When internships disappoint', Science, 378, pp. 22,
    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,
    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, pp. 104235,
    Journal articles | 2021
    Kirshner S; Sojli E, 2021, 'Forging remote relationships', Science, 372, pp. 24 - 24,
    Journal articles | 2021
    Kirshner SN; Moritz BB, 2021, 'Measuring demand chasing behavior', Decision Sciences, 52, pp. 1264 - 1281,
    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,
    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,
    Journal articles | 2021
    Van Toorn C; Kirshner SN; Gabb J, 2021, 'Gamification of query-driven knowledge sharing systems', Behaviour and Information Technology, 41, pp. 959 - 980,
    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,
    Journal articles | 2020
    Kirshner SN; Li Z, 2020, 'Oligopoly newsvendor competition with reference effects', Operations Research Letters, 48, pp. 787 - 791,
    Journal articles | 2020
    Kirshner SN; Moritz BB, 2020, 'Comment on "newsvendor demand chasing revisited"', Management Science, 66, pp. 6062 - 6064,
    Journal articles | 2020
    Kirshner SN, 2020, 'Construal level theory and risky decision making following near-miss events', Journal of Behavioral Decision Making, 34, pp. 379 - 392,
    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,
    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,
    Journal articles | 2019
    Kirshner SN; Shao L, 2019, 'The overconfident and optimistic price-setting newsvendor', European Journal of Operational Research, 277, pp. 166 - 173,
    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,
    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,
    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,
  • 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,
    Creative Written Works | 2021
    Kirshner S, 2021, Pandemic haiku.
    Conference Papers | 2016
    Choi B; Kirshner S; Wu Y, 2016, 'Swiping vs Scrolling in Mobile Shopping Applications', Toronto, Canada, presented at HCI International 2016, Toronto, Canada, 17 July 2016 - 22 July 2016
    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,
    Preprints |
    Guler N; Kirshner S; Vidgen R, Artificial Intelligence Research in Business and Management: A Literature Review Leveraging Machine Learning and Large Language Models, ,
  • Media | 2022
    Kirshner S, 2022, Demand fulfilment: a key to supply chain management sustainability, ,
    Media | 2022
    Kirshner S, 2022, How leaders should weigh up the risks and rewards of AI, ,
    Media | 2021
    Kirshner S, 2021, AGSM's The Business of Leadership Podcast: The Business of AI,
    Media | 2021
    Kirshner S, 2021, AI: friend or foe? (and what business leaders need to know), ,
    Media | 2021
    Kirshner S, 2021, Evening Show, ,
    Media | 2021
    Kirshner S, 2021, Why attractive and trustworthy Airbnb hosts can charge more, ,
    Media | 2020
    Kirshner S, 2020, Decision trees, machine learning and AI for business analytics, ,
    Media | 2020
    Kirshner S, 2020, How business analytics and ethical AI create competitive advantages, ,
    Media | 2017
    Kirshner S, 2017, When is the best time to release a new smartphone, ,

My Research Supervision

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