Metadata
Title
Algorithm
Category
undergraduate
UUID
6af866a3afbd4082b9a5e6383b054ebf
Source URL
https://bm.hkust.edu.hk/bizinsight/tag/algorithm
Parent URL
https://bm.hkust.edu.hk/bizinsight/digital-platform-design-and-strategy
Crawl Time
2026-03-24T05:23:57+00:00
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Algorithm

Source: https://bm.hkust.edu.hk/bizinsight/tag/algorithm Parent: https://bm.hkust.edu.hk/bizinsight/digital-platform-design-and-strategy

LI, Mingyu

BITTERLY, T. Bradford

(Dis)trust in AI Management: The Role of Benevolence

Management Performance

Artificial Intelligence

Algorithm

Managerial duties are increasingly fulfilled by artificial intelligence (AI). This may cause difficulties in roles requiring high emotional engagement, according to HKUST’s Mingyu Li and T. Bradford Bitterly. Lacking empathy, AI is viewed as less benevolent and trustworthy than humans, highlighting the need for organizations to deploy it carefully. As the AI ... Read More

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KAWAGUCHI, Kohei (SUNADA)

UETAKE, Kosuke

WANATABE, Yasutora

Competing for Consumers' Attention in a Busy World

Product Assortments

Data Analytics

Algorithm

Marketing

Consumers facing increased time pressure have lower levels of attention, according to HKUST scholar Kohei Kawaguchi and colleagues. The researchers explored how consumers’ attention and utility (a measure of product usefulness) are influenced by time pressure and variables such as the number of recommended products. Ultimately, they concluded that “context ... Read More

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LIU, Jia

CONG, Ziwei

What Are You Looking At? How Others Influence our Choices Online

Algorithm

Online Information

Marketing Strategy

Customer Behavior

Online platforms attract hundreds of millions of users, who post regularly on many topics. However, the algorithms used to direct them to content have faced criticism. HKUST’s Jia Liu and a colleague examine the phenomenon of “popularity bias” in recommender systems, taking advantage of a quasi-experiment conducted by China’s biggest online knowledge-sharing ... Read More

[ BizStudies ] [ Digital Platform: Design and Strategy ]

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KAWAGUCHI, Kohei (SUNADA)

UETAKE, Kosuke

WANATABE, Yasutora

Competing for Consumers’ Attention in a Busy World

Product Assortments

Data Analytics

Algorithm

Marketing

Consumers facing increased time pressure have lower levels of attention, according to HKUST scholar Kohei Kawaguchi and colleagues. The researchers explored how consumers’ attention and utility (a measure of product usefulness) are influenced by time pressure and variables such as the number of recommended products. Ultimately, they concluded that “context ... Read More

[ BizStudies ]

Read Full Paper

KAWAGUCHI, Kohei (SUNADA)

Seeking Advice from Technology

Algorithm

Retailing

Productivity

Product Assortments

An algorithm can be simply defined as a set of instructions for solving a problem or accomplishing a task. Within many business domains, algorithms are rapidly taking over the decision-making abilities of humans. However, full automation of business activity is only found in certain industries, such as manufacturing, where robots can work in a well ... Read More

[ BizStudies ]

Read Full Paper

KAWAGUCHI, Kohei (SUNADA)

Seeking Advice from Technology

Algorithm

Retailing

Productivity

Product Assortments

An algorithm can be simply defined as a set of instructions for solving a problem or accomplishing a task. Within many business domains, algorithms are rapidly taking over the decision-making abilities of humans. However, full automation of business activity is only found in certain industries, such as manufacturing, where robots can work in a well ... Read More

[ BizBites ]

Watch Video Read Full Paper

LEE, Dongwon

GOPAL, Anandasivam

PARK, Sung-Hyuk

The Perfect Match: Personalised Shopping Recommendations for Mobile Devices

Purchase Decision

Recommendation Systems

E-commerce

Data Analytics

Algorithm

Few people leave home without their smartphones or other mobile devices, which now dominate almost every aspect of our personal lives — including shopping. We already know that purchase behavior differs between mobile- and PC-based shopping, but the exciting potential to optimise recommendation systems for mobile channels has been largely untapped—until now ... Read More

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KWON, Ohchan

Future of work: Algorithmic recommendation and human discretion

Algorithm

Artificial Intelligence

Recommendation Systems

Interdisciplinary Seminar

[ BizTalks ]

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ZHANG, Han

How to Use Machine Learning Classification as Dependent or Independent Variables in Regression Analysis

Machine Learning

Data Analytics

Algorithm

Interdisciplinary Seminar

[ BizTalks ]

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KAWAGUCHI, Kohei (SUNADA)

Future of Work: When Will Workers Follow an Algorithm?

Algorithm

Heterogeneity

Sales Volatility

Product Assortments

Interdisciplinary Seminar

This paper develops a new algorithm for increasing the revenue in a dynamic product assortment problem. Then, it identifies the challenges faced by managers in practice and discusses the conditions under which workers follow the algorithm. To do so, I conducted a field experiment with a beverage vending machine business. The experiment shows that, on average ... Read More

[ BizTalks ]

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