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Singapore Management University

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Full-Text Articles in Business Analytics

An Integrated Framework On Human-In-The-Loop Risk Analytics, Peng Liu Jan 2023

An Integrated Framework On Human-In-The-Loop Risk Analytics, Peng Liu

Research Collection Lee Kong Chian School Of Business

Risk analytics is an integral component in the overall assessment of the risk profile for potential and existing obligors. For example, credit worthiness is often assessed via the use of scorecards, which are regulatory credit risk models developed based on historical data and domain expertise in banks and financial institutions. A pure statistical model, however, often fails to entertain regulatory requirements on both predictiveness and interpretability at the same time. Instead, practical risk models are developed by incorporating expert opinions within the development process, such as forcing the direction of travel for certain financial factors. In this article, the author …


Did Twitter Deliberately Mislead Elon Musk In His Acquisition Bid?, Mark Humphery-Jenner Jul 2022

Did Twitter Deliberately Mislead Elon Musk In His Acquisition Bid?, Mark Humphery-Jenner

Perspectives@SMU

Elon Musk has officially ended his bid to acquire Twitter on the grounds that it misled the market in its disclosures, writes UNSW Business School's Mark Humphery-Jenner


Measuring Impact To Make A Difference, Singapore Management University Jun 2022

Measuring Impact To Make A Difference, Singapore Management University

Perspectives@SMU

Impact-Weighted Accounts (IWAs) quantify impact and aims to help managers make better decisions


Daung Well By Daung Good, Leon Qiu, Singapore Management University Jun 2022

Daung Well By Daung Good, Leon Qiu, Singapore Management University

Perspectives@SMU

Leon Qiu started microfinance lending startup Daung Capital to help the unbanked in Myanmar. Can he adequately help the farmers there?


Ai Gets Real At Singapore's Changi Airport (Part 1), Steve Lee, Steven M. Miller May 2019

Ai Gets Real At Singapore's Changi Airport (Part 1), Steve Lee, Steven M. Miller

Asian Management Insights

Ranked as the best airport for seven consecutive years, Singapore’s Changi Airport is lauded the world over for the efficient, safe, pleasurable and seamless service it offers the millions of passengers that pass through its facilities annually. Much of Changi Airport’s success can be attributed to the organisation’s customer-oriented business focus and deeply embedded culture of service excellence, combined with a host of advanced technologies operating invisibly in the background. The framework for this technology enablement is Changi Airport Group’s (CAG’s) SMART Airport Vision—an enterprise-wide approach to connective technologies that leverages sensors, data fusion, data analytics, and artificial intelligence (AI), …


Distilling Managerial Insights And Lessons From Ai Projects At Singapore's Changi Airport (Part 2), Steve Lee, Steven M. Miller May 2019

Distilling Managerial Insights And Lessons From Ai Projects At Singapore's Changi Airport (Part 2), Steve Lee, Steven M. Miller

Asian Management Insights

Since 2017, Changi Airport group (CAG) has initiated a host of pilot projects that use connective and intelligent technologies to enable its move towards digital transformation and SMART Airport Vision. This has resulted in a first wave of deployment of AI and Machine Learning-enabled applications across various functions that can better sense, analyse, predict, and interact with people.


How Sector Volatility Spills Into Related Markets, Singapore Management University Mar 2019

How Sector Volatility Spills Into Related Markets, Singapore Management University

Perspectives@SMU

Research reveals the linkages that let a meltdown go global


Preventing Accounting Fraud, Singapore Management University Feb 2019

Preventing Accounting Fraud, Singapore Management University

Perspectives@SMU

Technology can help identify possible fraud but it might not overcome ‘capture theory’


Towards An Effective Design Of The Business Intelligence & Analytics Function Within An Organisation, Eric Sandosham Oct 2017

Towards An Effective Design Of The Business Intelligence & Analytics Function Within An Organisation, Eric Sandosham

Dissertations and Theses Collection

This dissertation is about the organisational considerations in setting up a successful business intelligence and analytics (BI&A) function. It addresses a gap in academic literature by presenting a theoretical framework on organisational attributes that impacts the BI&A function’s ability to improve the completeness and relevance of their data-driven solutions.

BI&A is a subset of information processing, and as such, subject to the phenomenon of uncertainty and equivocality. Most BI&A functions do not explicitly address this phenomenon in their organisation design, leading to suboptimal BI&A outcomes as widely publicised in both academic and practice literature.

This dissertation contributes to theory by …


Walking Firms Through It Decisions, Singapore Management University Jan 2017

Walking Firms Through It Decisions, Singapore Management University

Research@SMU: Connecting the Dots

Is it better to be an early adopter or wait till the technology matures? Professor Ma Dan helps companies make data-driven decisions.

See the papers:


Global Warming, Extreme Weather Events, And Forecasting Tropical Cyclones: A Market-Based Forward-Looking Approach, Carolyn W. Chang, Jack S. K. Chang, Kian Guan Lim May 2012

Global Warming, Extreme Weather Events, And Forecasting Tropical Cyclones: A Market-Based Forward-Looking Approach, Carolyn W. Chang, Jack S. K. Chang, Kian Guan Lim

Research Collection Lee Kong Chian School Of Business

Global warming has more than doubled the likelihood of extreme weather events, e.g. the 2003 European heat wave, the growing intensity of rain and snow in the Northern Hemisphere, and the increasing risk of flooding in the United Kingdom. It has also induced an increasing number of deadly tropical cyclones with a continuing trend. Many individual meteorological dynamic simulations and statistical models are available for forecasting hurricanes but they neither forecast well hurricane intensity nor produce clear-cut consensus. We develop a novel hurricane forecasting model by straddling two seemingly unrelated disciplines — physical science and finance — based on the …