Yossiri Adulyasak

HEC Montréal

3000, Chemin de la Côte-Sainte-Catherine

Montreal, Quebec H2X 2L3

Canada

http://yossiri.info/

SCHOLARLY PAPERS

9

DOWNLOADS

913

SSRN CITATIONS

5

CROSSREF CITATIONS

1

Scholarly Papers (9)

1.

Selecting Cover Images for Restaurant Reviews: AI vs. Wisdom of the Crowd

Manufacturing & Service Operations Management 26(1), pp 330-349.
Number of pages: 49 Posted: 02 Apr 2021 Last Revised: 24 Jan 2024
McGill University - Desautels Faculty of Management, McGill University, Desautels Faculty of Management, McGill University and HEC Montréal
Downloads 532 (99,538)
Citation 5

Abstract:

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Online review platforms, user-generated photos, deep learning, wisdom of the crowds

2.

Haters Gonna Hate? How Removing Downvote Option Impacts Discussions on Online Forum

Number of pages: 40 Posted: 05 May 2021 Last Revised: 18 Apr 2022
McGill University - Desautels Faculty of Management, McGill University - Desautels Faculty of Management, McGill University - Desautels Faculty of Management and HEC Montréal
Downloads 237 (241,485)
Citation 1

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Online platform, peer evaluation, negative evaluation, user-generated content

3.

Framework for Affinity-Based Personalized Review Recommendation

Number of pages: 38 Posted: 20 Jul 2022 Last Revised: 19 Sep 2022
HEC Montreal - HEC Montreal, HEC Montréal, HEC Montreal and McGill University - Desautels Faculty of Management
Downloads 61 (655,839)

Abstract:

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review recommendation, user affinity, machine learning, partial least square structural equation

4.

Facility Location with Modular Capacity Under Demand Uncertainty: An Industrial Case Study

Number of pages: 31 Posted: 20 May 2023
affiliation not provided to SSRN, affiliation not provided to SSRN, HEC Montréal, HEC Montreal and HEC Montreal
Downloads 43 (765,715)

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Stochastic Programming, Decision rules, Facility location, Demand uncertainty

5.

The Implications of Homogeneous Responses in Customer Service Operations

Number of pages: 49 Posted: 31 Oct 2023
McGill University - Desautels Faculty of Management, McGill University - Desautels Faculty of Management, Purdue University and HEC Montréal
Downloads 40 (787,292)

Abstract:

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customer service, social media, homogeneous responses, service operations management

6.

Retail Analytics in the New Normal

IEEE Engineering Management Review 52(1), pp 268-280 under the title "Retail Analytics in the New Normal: The Influence of Artificial Intelligence and the Covid-19 Pandemic."
Posted: 10 Mar 2022 Last Revised: 26 Apr 2024
HEC Montréal, Desautels Faculty of Management, McGill University, McGill University - Desautels Faculty of Management and affiliation not provided to SSRN

Abstract:

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Retail analytics, COVID-19, AI in management

7.

Bombardier Aftermarket Demand Forecast with Machine Learning

Final version published in INFORMS Journal on Applied Analytics (2023).
Posted: 08 Nov 2021 Last Revised: 22 Jan 2024
Bombardier Aerospace, HEC Montreal, HEC Montréal, IVADO Labs, IVADO Labs, IVADO Labs, IVADO Labs and McGill University

Abstract:

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Demand forecasting, machine learning, spare parts, aftermarket, forecast ensemble

8.

Identifying Arbitrage Opportunities in Retail Markets using Predictive Analytics

AI&Society (Forthcoming) under the title "Identifying Arbitrage Opportunities in Retail Markets with Artificial Intelligence."
Posted: 08 Feb 2021 Last Revised: 14 Jul 2023
Jitsama Tanlamai, Warut Khern-am-nuai and Yossiri Adulyasak
McGill University - Desautels Faculty of Management, McGill University - Desautels Faculty of Management and HEC Montréal

Abstract:

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arbitrage, field experiment, predictive analytics, random forest, user-generated content

9.

Data Analytics to Detect Panic Buying and Improve Products Distribution Amid Pandemic

((Forthcoming), AI&Society, under the title 'Using AI to Detect Panic Buying and Improve Products Distribution Amid Pandemic'
Posted: 07 Dec 2020 Last Revised: 15 Jul 2023
HEC Montréal, IVADO Labs, IVADO Labs, Desautels Faculty of Management, McGill University and McGill University - Desautels Faculty of Management

Abstract:

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Anomaly Detection, Retail Operations, Machine Learning, COVID-19