Technology and Innovation Commons^™

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.

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), …

2019 Ijbe Front Matter, Tamra Connor

International Journal for Business Education

1. Editorial Board
2. President's Letter
3. SIEC-ISBE International

Hierarchical Decision Model For Housing Decision In The Portland Metropolitan Area, Adediji Adewunmi

Engineering and Technology Management Student Projects

The Portland Metropolitan Area is one of the fastest growing in the Nation. A good percentage of in-migrants to Oregon end up in this area. This study aimed at creating a model to help individuals decide which city on the Oregon site of the Portland metro they should purchase housing.

Decision criteria was elicited from experts using a modified form of Delphi method, an HDM model was created and experts were asked to evaluate these criteria by making pair-wise comparisons. Once the HDM model was computed, the means were analyzed and it was determined that the city of Beaverton was …

Try, Try Again: Lessons Learned From Success And Failure In Participatory Modeling, Eleanor J. Sterling, Moira Zellner, Karen E. Jenni, Kirsten Leong, Pierre D. Glynn, Todd K. Bendor, Pierre Bommel, Klaus Hubacek, Antonie J. Jetter, Rebecca Jordan, Laura Schmitt Olabisi, Michael Paolisso, Steven Gray

Engineering and Technology Management Faculty Publications and Presentations

Participatory Modeling (PM) is becoming increasingly common in environmental planning and conservation, due in part to advances in cyberinfrastructure as well as to greater recognition of the importance of engaging a diverse array of stakeholders in decision making. We provide lessons learned, based on over 200 years of the authors’ cumulative and diverse experience, about PM processes. These include successful and, perhaps more importantly, not-so-successful trials. Our collective interdisciplinary background has supported the development, testing, and evaluation of a rich range of collaborative modeling approaches. We share here what we have learned as a community of participatory modelers, within three …

Improving Vix Futures Forecasts Using Machine Learning Methods, James Hosker, Slobodan Djurdjevic, Hieu Nguyen, Robert Slater

SMU Data Science Review

The problem of forecasting market volatility is a difficult task for most fund managers. Volatility forecasts are used for risk management, alpha (risk) trading, and the reduction of trading friction. Improving the forecasts of future market volatility assists fund managers in adding or reducing risk in their portfolios as well as in increasing hedges to protect their portfolios in anticipation of a market sell-off event. Our analysis compares three existing financial models that forecast future market volatility using the Chicago Board Options Exchange Volatility Index (VIX) to six machine/deep learning supervised regression methods. This analysis determines which models provide best …

Global Aviation System: Towards Sustainable Development, Marina P. Bonser Dr.

International Journal of Aviation, Aeronautics, and Aerospace

Aviation around the world has integrated into a global system. As the integration process continues, more aspects and levels of it need to be lead towards the sustainable development of the whole system via advancing strategic management, global communication proficiency, and technological expertise. It becomes essential to enrich global language (English) proficiency with cross-cultural communication competence not only for communication in the air but also for airport security, passenger and cargo services, aircraft and equipage engineering, building, and maintenance. Nowadays lower levels of management need more advanced strategic thinking and problem solving skills, and higher levels of management need global …

Towards Developing A Goal-Driven Data Integration Framework For Counter-Terrorism Analytics, Dapeng Liu

Theses and Dissertations

Terrorist attacks can cause massive casualties and severe property damage, resulting in terrorism crises surging across the world; accordingly, counter-terrorism analytics that take advantage of big data have been attracting increasing attention. The knowledge and clues essential for analyzing terrorist activities are often spread across heterogeneous data sources, which calls for an effective data integration solution. In this study, employing the goal definition template in the Goal-Question-Metric approach, we design and implement an automated goal-driven data integration framework for counter-terrorism analytics. The proposed design elicits and ontologizes an input user goal of counter-terrorism analytics; recognizes goal-relevant datasets; and addresses semantic …

Big Five Personality Traits In Learning Complex Information Systems: A Case Study, Bih-Ru Lea, Katherine Yu, Amanda Engelke, Carol Koob

Business and Information Technology Faculty Research & Creative Works

This research explores the influence of personality traits on the performance of learning a complex information system. The personality traits studied are conscientiousness, neuroticism, extraversion, openness, and agreeableness and the complex information system is represented by an Enterprise Resource Planning (ERP) System. The preliminary results indicate Openness, the interaction of Openness and Agreeableness, the interaction of Openness, Agreeableness, and Conscientiousness, the interaction of Openness, Agreeableness, and Extraversion, and the interaction Openness and Extraversion are statistically significant on influencing ERP learning performance.

Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels

SMU Data Science Review

In this paper, we present an analysis of features influencing Yelp's proprietary review filtering algorithm. Classifying or misclassifying reviews as recommended or non-recommended affects average ratings, consumer decisions, and ultimately, business revenue. Our analysis involves systematically sampling and scraping Yelp restaurant reviews. Features are extracted from review metadata and engineered from metrics and scores generated using text classifiers and sentiment analysis. The coefficients of a multivariate logistic regression model were interpreted as quantifications of the relative importance of features in classifying reviews as recommended or non-recommended. The model classified review recommendations with an accuracy of 78%. We found that reviews …

The Resource Allocation Optimization Problem For Cloud Computing Environments, Victor Yim, Colin Fernandes

SMU Data Science Review

In this paper, we present the use of optimization models to evaluate how to best allocate cloud computing resources to minimize cost and time to generate analysis. We look at cloud platform providers Amazon Web Services, Google Cloud and Microsoft Azure on their product offering. We selected 18 machine configuration instances among these providers and analyze the pricing structure of the different configuration. Using a support vector machine analysis written in python, performance data was gathered on these instances to compare time and cost on various data sizes. Using this result, we build models that allow us to select the …

Telling Your Story: Using Metrics To Display Your Value (H2), Wendy E. Moore, Thomas J. Striepe, Steve Lastres, Joy Shoemaker

Presentations

The American Bar Association, academic institutions, law firms, and governments are demanding more and more outcome-based performance. However, displaying these outcomes is difficult for law libraries. Law libraries possess an abundance of data, but determining which metrics will showcase your law library’s value and performance is difficult. Speakers from a law school, law firm, and court library will explain the different metrics they use to display their value to their stakeholders. After these short presentations, a “fishbowl” discussion will provide participants the chance to share and learn about different metrics and tools law libraries are using to best tell their …

Strategic Implications Of Blockchain, William R. Adams

Marriott Student Review

This thesis introduces blockchain, the underlying technology of cryptocurrencies such as Bitcoin, and discusses how best to conceptualize it relative to other technologies. Following an explanation of the fundamentals of blockchain, also known as the distributed ledger, I identify the characteristics of the technology. Building upon blockchain’s inherent strengths and limitations, I explore potential business applications of blockchain. Finally, I recommend that leaders continue to track the development and adoption of blockchain technology, even if they decide that implementing it does not align with their organization’s strategy at present.

The Study Of Crowdsourcing In Knowledge Management: The Role Of Employees' Innovative Behavior On Job Performance, Vetrivadivel Vel

Masters Theses & Doctoral Dissertations

Employees are a main source of innovative ideas via their insights on companies’ products, processes, customers, and competitors. Enterprise crowdsourcing systems (ECSs) are used to collect, refine, and realize ideas. However, only a small percentage of employees submit ideas – about 7.7% at Pfizer, 2% at HCL Technologies, and 3% at Polaris Industries. Why is employee participation low? More specifically, what factors can lead employees to actively use ECS to submit and share their innovative ideas for improving their job performance? In this research, we used a multi-actor dyadic survey to survey 183 employees and their managers and conducted data …

2018 Ijbe Front Matter, Tamra Connor

International Journal for Business Education

1. Editorial Board
2. President's Letter
3. SIEC-ISBE International

Choosing The Best Software For Spec Review: An Analytic Hierarchy Process Approach, Bob Greenlee

Engineering and Technology Management Student Projects

Every manufacturing company is faced with the problem of accurately converting customer requirements into products and deliverables, including a thorough review of customer specifications. Software can help facilitate this tedious and time consuming process, but choosing or designing the best solution is difficult due to conflicting and poorly prioritized criteria.

This paper illustrates the use of an analytic hierarchy process, specifically the hierarchical decision model (HDM) tool developed at Portland State University, to select the best software solution for facilitating customer spec review. In addition to resolving the primary question of which software to use, it shows how the HDM …

Mapping Legalzoom's Disruptive Innovation, Matthew T. Ciulla

The Journal of Business, Entrepreneurship & the Law

No abstract provided.

The Rise Of Artificial Intelligence In The Legal Field: Where We Are And Where We Are Going, Sergio David Becerra

The Journal of Business, Entrepreneurship & the Law

The twenty-first century has brought significant technological advancement that permeates all aspects of our lives. The legal field, though slow in the adaption of this technology, is beginning to pick up the pace. Artificial Intelligence (AI) technology is used now to perform legal work once completed solely by legal practitioners. This Comment outlines what AI is and reviews the current use of AI in the legal field. It also identifies AI products and developments that are in place. Finally, it argues that lawyers will always be needed in the practice of law, despite the continued growth of AI.

Driving The Future: Mobility In The 21st Century, Ted Hamer

Purdue Road School

As part of its future-focused infrastructure planning, INDOT is embarking on a project with Purdue University to understand how the development of transportation infrastructure can be linked to benefits to business supply chains, thus enabling decisions to nurture an ecosystem around connected and autonomous vehicles (CAVs). KPMG will provide insight into the CAV industry.

Design Thinking: A Case Study Of Implementation Within The It Software Industry., Jean-Baptiste Liberge

Theses

In the global economy, competition and market pressures push the majority of company managers to drive with more efficiency by improving processes, optimizing performance and reducing costs. Companies are increasing shareholder value by improving cash flow' and cutting costs. How many cost savings can finance departments reproduce and for how long? Is this enough to lead their markets to deliver better services to their customers? Is it enough to build customer loyalty? The 11 industry fails to escape these constraints, operating in an intensely competitive market. To compete in this environment, companies need to face frequent new product launches and …

Good Game, Greyory Blake

Theses and Dissertations

This thesis and its corresponding art installation, Lessons from Ziggy, attempts to deconstruct the variables prevalent within several complex systems, analyze their transformations, and propose a methodology for reasserting the soap box within the display pedestal. In this text, there are several key and specific examples of the transformation of various signifiers (i.e. media-bred fear’s transformation into a political tactic of surveillance, contemporary freneticism’s transformation into complacency, and community’s transformation into nationalism as a state weapon). In this essay, all of these concepts are contextualized within the exponential growth of new technologies. That is to say, all of these semiotic …

2017 Ijbe Front Matter, Tamra Connor

International Journal for Business Education

1. Editorial Board
2. President's Letter
3. SIEC-ISBE International

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.

An Empirical Study Of Consumers Emotional Reaction On Brand Collaboration, Jianrong Hou, Xiaofeng Zhao, Yingkui Li

Business

The study aims to examine customers’ emotional reaction to brand collaboration, taking into consideration the possible combination of different brand equities using three experiments. Mobile phone is selected as the hypothetical product. Samsung is selected as the brand with the highest awareness in the mobile manufacture category whereas Burberry is selected as the brand with the highest awareness in the fashion category. Meanwhile, HTC and Bottega Veneta have the lowest brand awareness in the mobile and fashion category respectively. Four companies were selected to launch a hypothetical collaboration product. Analyzing the experiment samples’ data from China mobile phone market, the …

2016 Ijbe Front Matter, Tamra Connor

International Journal for Business Education

1. Editorial Board
2. President's Letter
3. SIEC-ISBE International

2015 Ijbe Front Matter, Tamra Connor

International Journal for Business Education

1. Editorial Board
2. President's Letter
3. SIEC-ISBE International

The Story As A Cultural Transmitter: Applications For Business Education, Carol Blaszczynski, Ph.D.

International Journal for Business Education

Stories assist in transmitting cultural wisdom, including wisdom about the business community. The role of stories in various contexts such as education (including international management), management, and marketing, as well as the job search is explained. The article concludes by presenting instructional activities for business education that develop cultural competence through stories.

2014 Ijbe Front Matter, Tamra Connor

International Journal for Business Education

1. Editorial Board
2. President's Letter
3. SIEC-ISBE International

2013 Ijbe Front Matter, Tamra Connor

International Journal for Business Education

1. Editorial Board
2. President's Letter
3. SIEC-ISBE International

2012 Ijbe Front Matter, Tamra Connor

International Journal for Business Education

1. Editorial Board
2. President's Letter
3. SIEC-ISBE International