Computer Sciences Commons^™

Decision Support For Assorted Populations In Uncertain And Congested Environments, Pradeep Reddy Varakantham, Asrar Ahmed, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

This research is motivated by large scale problems in urban transportation and labor mobility where there is congestion for resources and uncertainty in movement. In such domains, even though the individual agents do not have an identity of their own and do not explicitly interact with other agents, they effect other agents. While there has been much research in handling such implicit effects, it has primarily assumed deterministic movements of agents. We address the issue of decision support for individual agents that are identical and have involuntary movements in dynamic environments. For instance, in a taxi fleet serving a city, …

Automated Parameter Tuning Framework For Heterogeneous And Large Instances: Case Study In Quadratic Assignment Problem, Linda Lindawati, Zhi Yuan, Hoong Chuin Lau, Feida Zhu

Research Collection School Of Computing and Information Systems

This paper is concerned with automated tuning of parameters of algorithms to handle heterogeneous and large instances. We propose an automated parameter tuning framework with the capability to provide instance-specific parameter configurations. We report preliminary results on the Quadratic Assignment Problem (QAP) and show that our framework provides a significant improvement on solutions qualities with much smaller tuning computational time.

Technology Investment Decision-Making Under Uncertainty: The Case Of Mobile Payment Systems, Robert J. Kauffman, Jun Liu, Dan Ma

Research Collection School Of Computing and Information Systems

The recent launch of Google Wallet has brought the issue of technology solutions in mobile payments (m-payments) to the forefront. In deciding whether and when to adopt m-payments, senior managers in banks are concerned about uncertainties regarding future market conditions, technology standards, and consumer and merchant responses, especially their willingness to adopt. This study applies economic theory and modeling for decision-making under uncertainty to bank investments in m-payment systems technology. We assess the projected benefits and costs of investment as a continuous-time stochastic process to determine optimal investment timing. We find that the value of waiting to adopt jumps when …

The Pricing Model Of Cloud Computing Services, Jianhui Huang, Dan Ma

Research Collection School Of Computing and Information Systems

Cloud computing service providers offer computing resource as a utility and software as a service over network. Many believe that Cloud computing is making an industry-wise paradigm shift for IT use. Besides its technique issues, the business feature of Cloud computing attracts our interests. Specifically the practice of Amazon EC2 introduces an interesting pricing scheme. Amazon provides users with virtual computing instances as a combination of interruptible service (i.e., spot instance) and uninterruptible service (i.e., on-demand and reserved instance). Spot instance is charged at a per use price which is dynamically changing over time; users of spot instance face the …

Regret Based Robust Solutions For Uncertain Markov Decision Processes, Asrar Ahmed, Pradeep Reddy Varakantham, Yossiri Adulyasak, Patrick Jaillet

Research Collection School Of Computing and Information Systems

In this paper, we seek robust policies for uncertain Markov Decision Processes (MDPs). Most robust optimization approaches for these problems have focussed on the computation of maximin policies which maximize the value corresponding to the worst realization of the uncertainty. Recent work has proposed minimax regret as a suitable alternative to the maximin objective for robust optimization. However, existing algorithms for handling minimax regret are restricted to models with uncertainty over rewards only. We provide algorithms that employ sampling to improve across multiple dimensions: (a) Handle uncertainties over both transition and reward models; (b) Dependence of model uncertainties across state, …

Dynamic Two-Sided Pricing Under Sequential Innovation, Mei Lin, Xiajun Pan

Research Collection School Of Computing and Information Systems

Many two-sided platforms offer innovative hardware products that improve in quality and enter the market sequentially. We analyze the impact of the decrease in the production cost on a monopoly platform owner's dynamic two-sided pricing problem, in which buyers are strategic and exert a cross-side network effect to the seller side. Our findings show that a greater decrease in cost raises the optimal price of the low-quality product and allocates more buyer-side demand to the future market. Furthermore, such decrease in cost may also lead to a higher optimal price for the future higher-quality product, given a sufficiently significant quality …

Valuation Of Participation In Social Gaming, Kwansoo Kim, Byungjoon Yoo, Robert J. Kauffman

Research Collection School Of Computing and Information Systems

This study examines the value of the time that a user spends to participate in a social game. We focus on how a massive multiplayer online role-playing game (MMORPG) vendor can establish prices to encourage participation and retain its players. We estimate value through an application of the hedonic pricing model and analyze a data set for an MMORPG in Korea. The results permit us to estimate the value of game-playing time in monetary terms. Based on our empirical results, we propose an economic model and conduct numerical simulation to show how a game vendor can apply differential pricing in …

Analyzing The Impact Of Cloud Services Brokers On Cloud Computing Markets, Richard D. Shang, Jianhui Huang, Yinping Yang, Robert J. Kauffman

Research Collection School Of Computing and Information Systems

This research offers a theoretical model of brokered services and provides an analysis of their impact on the cloud computing market with risk preference-based stratification of client segments. The model structures the decision problem that clients face when they choose among spot, reserved and brokered services. Although all the three types of services do not indemnify the cloud services client against other kinds of service outages, due to changes in market demand, service interruptions occur most frequently in the spot market, and are lower when brokered services are offered, and no risk of inter-ruption is involved in reserved services. Based …

Not All That Glitters Is Gold: The Effect Of Attention And Blogs On The Investors' Investing Behaviors, Nan Hu, Yi Dong, Ling Liu, Lee J. Yao

Research Collection School Of Computing and Information Systems

This article investigates the relationship between a firm’s visibility in blogspaces, termed blog exposure, and the cross-sectional stock returns. We show that blog exposure is fundamentally different from the traditional media coverage, and securities with low blog exposure earn higher returns than stocks with high blog exposure. We further illustrate that such an effect is more prominent for stocks with low institutional ownership. Contrary to traditional media coverage, the return premium associated with blog exposure cannot be explained by either the illiquidity hypothesis or the investor recognition hypothesis based on the rational-agent framework. Instead, our results suggest that blog effect …

Synergy And Its Limits In Managing Information Technology Professionals, Thomas W. Ferratt, Jayesh Prasad, Harvey Enns

MIS/OM/DS Faculty Publications

We examine the effects of human resource management (HRM) practices (e.g., career development, social support, compensation, and security) on IT professionals‟ job search behavior. Job search is a relatively novel dependent variable in studies of voluntary withdrawal behavior, in general, and for IT professionals, in particular. From a universalistic perspective, HRM practices individually and in combination exhibit independently additive effects on job search behavior. Our study contrasts this perspective with configurational theory, hypothesizing that proposed idealtype configurations of HRM practices have synergistic effects on job search behavior. We contribute to the IT and broader HRM literature by theoretically explicating and …

Moral Responsibility For Computing Artifacts: "The Rules" And Issues Of Trust, Frances S. Grodzinsky, Keith W. Miller, Marty J. Wolf

School of Computer Science & Engineering Faculty Publications

“The Rules” are found in a collaborative document (started in March 2010) that states principles for responsibility when a computer artifact is designed, developed and deployed into a sociotechnical system. At this writing, over 50 people from nine countries have signed onto The Rules (Ad Hoc Committee, 2010). Unlike codes of ethics, The Rules are not tied to any organization, and computer users as well as computing professionals are invited to sign onto The Rules. The emphasis in The Rules is that both users and professionals have responsibilities in the production and use of computing artifacts. In this paper, we …

Knowledge-Driven Autonomous Commodity Trading Advisor, Yee Pin Lim, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

The myth that financial trading is an art has been mostly destroyed in the recent decade due to the proliferation of algorithmic trading. In equity markets, algorithmic trading has already bypass human traders in terms of traded volume. This trend seems to be irreversible, and other asset classes are also quickly becoming dominated by the machine traders. However, for asset that requires deeper understanding of physicality, like the trading of commodities, human traders still have significant edge over machines. The primary advantage of human traders in such market is the qualitative expert knowledge that requires traders to consider not just …

An Extensible Framework For Selecting Incremental Innovations, Arcot Desai Narasimhalu

Research Collection School Of Computing and Information Systems

There are several innovation methodologies reported in the literature starting from simple concepts such as technology push and market pull all the way to Disruptive innovation. Almost all these methods do not provide for customizability and extensibility. The method described in this paper is called Quick and Dirty Innovation Method or QaDIM in short to represent the fact that the method can be used rather easily to identify incremental innovation opportunities. The paper will first describe the basic concept, and then proceed to give a sample framework before proceeding to describe the extensibility. The method allows firms and individuals to …

Use Of Rss Feeds To Push The Online Content To Users, Dan Ma

Research Collection School Of Computing and Information Systems

Many websites use Really Simple Syndication (RSS) feeds to actively push their online content to users rather than waiting for users to pull the content passively. In this paper, I construct a theoretical game model to study the profitability of an RSS-PUSH delivery mechanism. The model assumes a general profit structure for websites and heterogeneous users. To access valuable online content, users incur a variety of costs. They choose either to visit the website in the conventional way (the PULL model) or, if it is supported by the website, to use RSS (the PUSH model). Interestingly, I show that although …

Reputation As Public Policy For Internet Security: A Field Study, Qian Tang, Leigh L. Linden, John S. Quarterman, Andrew Whinston

Research Collection School Of Computing and Information Systems

Cybersecurity is a national priority in this big data era. Because of the lack of incentives and the existence of negative externality, companies often underinvest in addressing security risks and accidents, despite government and industry recommendations. In the present article, we propose a method that utilizes reputation through information disclosure to motivate companies to behave pro-socially, improving their Internet security. Using outbound spam as a proxy for Internet security, we conducted a quasiexperimental field study for eight countries through SpamRankings.net. This outgoingspam-based study shows that information disclosure on outgoing spam can help reduce outgoing spam, approximately by 16 percent. This …

Science And Technology Parks As An Open Innovation Catalyst For Valorization, Arcot Desai Narasimhalu

Research Collection School Of Computing and Information Systems

This paper sets out by reviewing the key elements of a Science or Technology Park in the context of open innovation. This is followed by a broad scan of Science and Technology Park activity in South and South East Asia. The paper proceeds to discuss Singapore’s continuous efforts to create new Science and Technology park models and presents a new approach the Singapore Management University has pursued for catalyzing valorization. Insights into and recommendations on key issues related to intellectual property, licensing and venture capital that would be of interest to any Science Park are presented later.

Information And Competitive Strategy In A Networked Economy, Robert J. Kauffman, Thomas A. Weber, D. J. Wu

Research Collection School Of Computing and Information Systems

>One of the transformative changes over the past decade has been the way networks have enabled the distributed generation of value and how businesses and organizations have managed to capture a portion of this value. This has resulted in a plethora of innovative business ideas and new strategies. The present special section deals with the incentives for distributed content generation; counterintuitive network effects in the security software market, which features an intrinsic negative externality; and the possibility for collaboration between different platforms in a two-sided market. The included papers offer an interesting mix of theoretical and practical insights. All of …

3dme: 3d Media Express From Rgb-D Images, Tam Nguyen, Lusong Li, Jun Tan, Shuicheng Yan

Computer Science Faculty Publications

Considering the continuously increasing availability and accessibility of 3D media and the depth camera such as Kinect, we demonstrate an innovative 3D media system called 3DME. The objective of this demo is three-fold.

First, the demo exhibits the creation of 3D images from RGB-D images. Second, 3DME allows a user to insert impressive effects to the produced 3D content. Last but not least, our demo is one of the first attempts toward advertising with 3D content.

Wikis: The Perfect Platform For Library Policies And Procedures, Melanie J. Dunn

The Southeastern Librarian

The term wiki, derived from the Hawaiian adjective “wiki wiki” meaning quick or fast, was coined by Ward Cunningham who created the original WikiWikiWeb for the Portland Pattern Repository (Leuf, 2001, 15). Touted by Cunningham as “the simplest online database that could possibly work” (Cunningham, 2002, June 27) “ wiki” is alternately used to refer to both a wiki website and the software used to create and maintain it and was designed to allow multiple users to collaborate in its development (Klobas 2006, 3). Wikipedia is perhaps one of the best examples, as well as the most recognized, of wikis. …

Content Contribution For Revenue Sharing And Reputation: A Dynamic Structural Model, Qian Tang, Bin Gu, Andrew B. Whinston

Research Collection School Of Computing and Information Systems

This study examines the incentives for content contribution in social media. We propose that exposure and reputation are the major incentives for contributors. Besides, as more and more social media Web sites offer advertising-revenue sharing with some of their contributors, shared revenue provides an extra incentive for contributors who have joined revenue-sharing programs. We develop a dynamic structural model to identify a contributor's underlying utility function from observed contribution behavior. We recognize the dynamic nature of the content-contribution decision-that contributors are forward-looking, anticipating how their decisions affect future rewards. Using data collected from YouTube, we show that content contribution is …

The Factors Behind A Successful Implementation Of Electronic Health Records Systems, Anjee Gorkhali

Engineering Management & Systems Engineering Theses & Dissertations

This research explores the role that budget for Information System (IS) and technical expertise of healthcare service provider staff play on the successful leap from a partial to exhaustive implementation of Electronic Health Records (EHR) Systems. Technical expertise in Information Systems might not be easily measurable directly, but there are a number of indicators that could be used as a proxy, such as: Information System (IS) Department Budget, number of IS staff and the extent of technical trainings provided by the IS department to the clinical staff. This research study hypothesizes that quality technical trainings conducted by an IS department …

Search Engine Optimization: Best Practices For Google, Tucker Johnson

UNLV Theses, Dissertations, Professional Papers, and Capstones

The internet is a major delivery system of hotel reservations. Approximately 25% of all reservations made at a hotel come directly through the hotel’s website (Douglas, 2012). Another 11% of total reservations are booked online through online travel agent websites, or OTAs, such as Priceline.com or Expedia.com (Douglas, 2012). These additional reservations booked through the OTAs come at a cost to the hotel, however. Typical commissions for OTAs are approximately 25 % of a total booking (Sanders, 2012). In 2010, it was estimated that the commissions associated with these OTA bookings cost hoteliers 2.5 billion dollars (Douglas, 2012). Because of …

Principles For Conducting Critical Realist Case Study Research In Information Systems, Donald E. Wynn, Clay K. Williams

MIS/OM/DS Faculty Publications

Critical realism is emerging as a viable philosophical paradigm for conducting social science research, and has been proposed as an alternative to the more prevalent paradigms of positivism and interpretivism. Few papers, however, have offered clear guidance for applying this philosophy to actual research methodologies. Under critical realism, a causal explanation for a given phenomenon is inferred by explicitly identifying the means by which structural entities and contextual conditions interact to generate a given set of events. Consistent with this view of causality, we propose a set of methodological principles for conducting and evaluating critical realism-based explanatory case study research …

Guest Editors’ Introduction: Poverty, Technology, Microfinance And Development, Robert J. Kauffman, Frederick J. Riggins

Research Collection School Of Computing and Information Systems

A consistent expectation on the part of public policy-makers, governments and non-governmental organizations (NGOs) has been that information and communications technologies (ICTs) will be a driver of economic growth and social development for the people away from poverty in the nations that harness them effectively. As this process proceeds around the world in the presence of dramatic technical progress, poverty nevertheless continues to be a difficult and grinding social problem to combat. In spite of the promised changes, the reality is that today there are greater population pressures, continuing inertial forces for economic stagnation, unstable social conditions and regional strife, …

A Computational Analysis Of Bundle Trading Markets Design For Distributed Resource Allocation, Zhiling Guo, Gary J. Koehler, Andrew B. Whinston

Research Collection School Of Computing and Information Systems

Online auction markets play increasingly important roles for resource allocations in distributed systems. This paper builds upon a market-based framework presented by Guo et al. (Guo, Z., G. J. Koehler, A. B. Whinston. 2007. A market-based optimization algorithm for distributed systems. Management Sci. 53(8) 1345–1458), where a distributed system optimization problem is solved by self-interested agents iteratively trading bundled resources in a double auction market run by a dealer. We extend this approach to a dynamic, asynchronous Internet market environment and investigate how various market design factors including dealer inventory policies, market communication patterns, and agent learning strategies affect the …

Niche-Seeking In Influence Maximization With Adversary, Long Foong Liow, Shih-Fen Cheng, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

In hotly contested product categories dominated by a few powerful firms, it is quite common for weaker or late entrants to focus only on particular segments of the whole market. The rationale for such strategy is intuitive: to avoid direct confrontation with heavy-weight firms, and to concentrate in segments where these weaker firms have comparative advantages. In marketing, this is what people called “go niche or go home". The niche-building strategy may rely on “homophily", which implies that consumers in a particular market segment might possess certain set of attributes that cause them to appreciate certain products better (in other …

Investment Timing For Mobile Payment Systems, Robert J. Kauffman, Jun Liu, Dan Ma

Research Collection School Of Computing and Information Systems

The recent launch of Google Wallet has brought the issue of technology solutions in the mobile payment (m-payment) area to the forefront. In deciding whether and when to adopt m-payment technology, senior managers in banks are naturally concerned about uncertainties regarding future market conditions, technology standards, and consumer and merchant responses, especially their willingness to adopt. This study applies economic theory and modeling for decision-making under uncertainty to bank investments in mobile payment technology. We assess the projected benefits and costs of investment as a continuous-time stochastic process to determine optimal investment timing. We find that the value of waiting …

The Pricing Model Of Cloud Computing Services, Jianhui Huang, Dan Ma

Research Collection School Of Computing and Information Systems

Cloud computing service providers offer computing resource as a utility and software as a service over network. Many believe that Cloud computing is making an industry-wise paradigm shift for IT use. Besides its technique issues, the business feature of Cloud computing attracts our interests. Specifically the practice of Amazon EC2 introduces an interesting pricing scheme. Amazon provides users with virtual computing instances as a combination of interruptible service (i.e., spot instance) and uninterruptible service (i.e., on-demand and reserved instance). Spot instance is charged at a per use price which is dynamically changing over time; users of spot instance face the …

Hedonic Valuation Of Online Game Participation, Robert J. Kauffman, Kwansoo Kim, Byungjoon Yoo

Research Collection School Of Computing and Information Systems

We use hedonic valuation to establish a basis for valuing the time a user participates in an online gaming community. We distinguish between utilitarian and hedonic value. Our application involves elements of both utilitarian and hedonic value, however, the latter is much more important. We use an extensive data set involving a massive multi-player online role-playing game (MMORPG) from Korea. We specify and test econometric models that reflect the appropriate empirical structure for the setting, based on information about the players and the activities they engage in. The results permit us to estimate the hedonic value in monetary terms for …

From Clickstreams To Searchstreams: Search Network Graph Evidence From A B2b E-Market, Mei Lin, M. F. Lin, Robert J. Kauffman

Research Collection School Of Computing and Information Systems

Consumers in e-commerce acquire information through search engines, yet to date there has been little empirical study on how users interact with the results produced by search engines. This is analogous to, but different from, the ever-expanding research on clickstreams, where users interact with static web pages. We propose a new network approach to analyzing search engine server log data. We call this searchstream data. We create graph representations based on the web pages that users traverse as they explore the search results that their use of search engines generates. We then analyze the graph-level properties of these search network …