By Associate Professor Sam Kirshner

Books

Kirshner S; Vidgen R; Wallace C, 2022, Checkmate Humanity: The How and Why of Responsible AI

Vidgen R; Kirshner SN; Tan F, 2019, Business Analytics A Management Approach, Red Globe Press

Journal articles

Kirshner SN; Kuan K; Wang M, 2025, 'Construal level theory and online reviews: A search stage perspective', Tourism Management, 107, pp. 105090 - 105090, http://dx.doi.org/10.1016/j.tourman.2024.105090

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, 35, pp. 1822 - 1842, http://dx.doi.org/10.1111/1467-8551.12793

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, pp. 100076, http://dx.doi.org/10.1016/j.dim.2024.100076

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LB; Huang J; Wen Q; Hartzell C; Stroup B; Klinger M; Perez EC; Virguez E; Kirshner SN; Xu C; Sharma V, 2024, 'Changing outdated expectations', Science, 383, pp. 24 - 26, http://dx.doi.org/10.1126/science.adn4211

Kirshner SN, 2024, 'GPT and CLT: The impact of ChatGPT's level of abstraction on consumer recommendations', Journal of Retailing and Consumer Services, 76, http://dx.doi.org/10.1016/j.jretconser.2023.103580

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, http://dx.doi.org/10.1007/s10796-024-10516-8

Balaguer-Mercado A; Kirshner SN; Tseng CL, 2024, 'Temporal distance in dual sourcing: A behavioural investigation', Managerial and Decision Economics, http://dx.doi.org/10.1002/mde.4353

Kirshner SN, 2024, 'Visual Simulation and Subjective Probability Estimation: When Seeing Is Believing', Decision, http://dx.doi.org/10.1037/dec0000254

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, 26, pp. 2067 - 2084, http://dx.doi.org/10.1287/msom.2023.0721

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

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, http://dx.doi.org/10.1016/j.jretconser.2023.103259

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

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

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, http://dx.doi.org/10.1126/science.ade6397

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

Cahalane M; Kirshner SN; Ting A, 2022, 'Does virtual reality lower construal levels?', Computers in Human Behavior Reports, 7, pp. 100205, http://dx.doi.org/10.1016/j.chbr.2022.100205

Kirshner S, 2022, 'Social media: Good or evil?', Science, 375, pp. 608 - 609, http://dx.doi.org/10.1126/science.abo2409

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

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

Kirshner S; Sojli E, 2021, 'Forging remote relationships', Science, 372, pp. 24 - 24, http://dx.doi.org/10.1126/science.abi4726

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, http://dx.doi.org/10.1016/j.tourman.2020.104235

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

Van Toorn C; Kirshner SN; Gabb J, 2021, 'Gamification of query-driven knowledge sharing systems', Behaviour and Information Technology, 41, pp. 959 - 980, http://dx.doi.org/10.1080/0144929X.2020.1849401

Kirshner SN; Moritz BB, 2021, 'Measuring demand chasing behavior', Decision Sciences, 52, pp. 1264 - 1281, http://dx.doi.org/10.1111/deci.12518

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

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

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

Kirshner SN, 2020, 'Construal level theory and risky decision making following near-miss events', Journal of Behavioral Decision Making, 34, pp. 379 - 392, http://dx.doi.org/10.1002/bdm.2216

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

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

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

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

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

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

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, http://dx.doi.org/10.26190/unsworks/28545

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

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, 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

Creative Written Works

Kirshner S, 2021, Pandemic haiku.

Media

Kirshner S, 2022, Demand fulfilment: a key to supply chain management sustainability, https://www.businessthink.unsw.edu.au/articles/sustainability-supply-chain-management

Kirshner S, 2022, How leaders should weigh up the risks and rewards of AI, https://www.businessthink.unsw.edu.au/articles/risks-rewards-ai-leaders

Kirshner S, 2021, AI: friend or foe? (and what business leaders need to know), https://www.businessthink.unsw.edu.au/articles/ai-business-technology

Kirshner S, 2021, AGSM's The Business of Leadership Podcast: The Business of AI

Kirshner S, 2021, Evening Show, https://www.abc.net.au/radio/sydney/programs/evenings/evenings/13338104

Kirshner S, 2021, Why attractive and trustworthy Airbnb hosts can charge more, https://www.businessthink.unsw.edu.au/articles/Airbnb-attractive-trustworthy-host

Kirshner S, 2020, Decision trees, machine learning and AI for business analytics, https://studyonline.unsw.edu.au/blog/decision-trees

Kirshner S, 2020, How business analytics and ethical AI create competitive advantages, https://www.businessthink.unsw.edu.au/articles/business-analytics-ethical-ai

Kirshner S, 2017, When is the best time to release a new smartphone, https://www.businessthink.unsw.edu.au/articles/when-is-the-best-time-to-release-a-new-smartphone

Preprints

Guler N; Kirshner S; Vidgen R, Artificial Intelligence Research in Business and Management: A Literature Review Leveraging Machine Learning and Large Language Models, http://dx.doi.org/10.2139/ssrn.4540834

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