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Articles 1 - 11 of 11
Full-Text Articles in Business Analytics
An Integrated Framework On Human-In-The-Loop Risk Analytics, Peng Liu
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
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
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
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
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
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
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
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
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
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:
- The pricing strategy analysis for the Software-as-a-Service business model
- Cloud services from a consumer perspective.
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
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 …