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Articles 1 - 30 of 79
Full-Text Articles in Business
Drip - Data Rich, Information Poor: A Concise Synopsis Of Data Mining, Muhammad Obeidat, Max North, Lloyd Burgess, Sarah North
Drip - Data Rich, Information Poor: A Concise Synopsis Of Data Mining, Muhammad Obeidat, Max North, Lloyd Burgess, Sarah North
Faculty and Research Publications
As production of data is exponentially growing with a drastically lower cost, the importance of data mining required to extract and discover valuable information is becoming more paramount. To be functional in any business or industry, data must be capable of supporting sound decision-making and plausible prediction. The purpose of this paper is concisely but broadly to provide a synopsis of the technology and theory of data mining, providing an enhanced comprehension of the methods by which massive data can be transferred into meaningful information.
Using Consumer Informedness As An Information Strategy, Ting Li, Robert John Kauffman, Eric Van Heck, Peter Vervest, Benedict Dellaert
Using Consumer Informedness As An Information Strategy, Ting Li, Robert John Kauffman, Eric Van Heck, Peter Vervest, Benedict Dellaert
Research Collection School Of Computing and Information Systems
Consumer informedness describes the degree to which consumers are aware of the specific attributes of products or services offered in the marketplace. Understanding how this level of informedness can amplify consumer behaviour provides firms with the opportunity to develop information-based strategies that can encourage their target segment make purchases.
Modeling The Evolution Of Generativity And The Emergence Of Digital Ecosystems, C. Jason Woodard, Eric K. Clemons
Modeling The Evolution Of Generativity And The Emergence Of Digital Ecosystems, C. Jason Woodard, Eric K. Clemons
Research Collection School Of Computing and Information Systems
Recent literature on sociotechnical systems has employed the concept of generativity to explain the remarkable capacity for digital artifacts to support decentralized innovation and the emergence of rich business ecosystems. In this paper, we propose agent-based computational modeling as a tool for studying the evolution of generativity, and offer a set of building blocks for constructing agent-based models in which generativity evolves. We describe a series of models that we have created using these building blocks, and summarize the results of our computational experiments to date. We find in several different settings that key features of generative systems can themselves …
A Metrics Suite Of Cloud Computing Adoption Readiness, Robert J. Kauffman, Dan Ma, Martin Yu
A Metrics Suite Of Cloud Computing Adoption Readiness, Robert J. Kauffman, Dan Ma, Martin Yu
Research Collection School Of Computing and Information Systems
Recent research on cloud computing adoption indicates that there has been a lack of deep understanding of its benefits by managers and organizations. This has been an obstacle for adoption. We report on an initial design for a firm-level cloud computing readiness metrics suite. We propose categories and measures to form a set of metrics to measure adoption readiness and assess the required adjustments in strategy and management, technology and operations, and business policies. We reviewed the relevant interdisciplinary literature and interviewed industry professionals to ground our metrics based on theory and practice knowledge. We identified four relevant categories for …
Mydeal: A Mobile Shopping Assistant Matching User Preferences To Promotions, Kartik Muralidharan, Swapna Gottipati, Jing Jiang, Narayan Ramasubbu, Rajesh Krishna Balan
Mydeal: A Mobile Shopping Assistant Matching User Preferences To Promotions, Kartik Muralidharan, Swapna Gottipati, Jing Jiang, Narayan Ramasubbu, Rajesh Krishna Balan
Research Collection School Of Computing and Information Systems
A common problem in large urban cities is the huge number of retail options available. In response, a number of shopping assistance applications have been created for mobile phones. However, these applications mostly allow users to know where stores are or find promotions on specific items. What is missing is a system that factors in a user's shopping preferences and automatically tells them which stores are of their interest. The key challenge in this system is twofold; 1) building a matching algorithm that can combine user preferences with fairly unstructured deals and store information to generate a final rank ordered …
Orchestrating Service Innovation Using Design Moves: The Dynamics Of Fit Between Service And Enterprise It Architectures, Narayan Ramasubbu, Charles Jason Woodard, Sunil Mithas
Orchestrating Service Innovation Using Design Moves: The Dynamics Of Fit Between Service And Enterprise It Architectures, Narayan Ramasubbu, Charles Jason Woodard, Sunil Mithas
Research Collection School Of Computing and Information Systems
Service science perspectives highlight the central role of information technology (IT) in transforming the design and delivery of services. To discern the mechanisms through which IT impacts service innovation, we explore the dynamics of the relationship between enterprise IT and service architectures, and how these dynamics influence the performance of service innovation projects. We conducted six case studies to investigate how firms orchestrated service innovation, focusing on the design of the service architecture and its relationship to enterprise systems. We synthesize the case findings to develop a set of propositions on the antecedents and consequences of fit (or misfit) between …
Platform Pricing With Endogenous Network Effects, Mei Lin, Ruhai Wu, Wen Zhou
Platform Pricing With Endogenous Network Effects, Mei Lin, Ruhai Wu, Wen Zhou
Research Collection School Of Computing and Information Systems
This paper examines a monopoly platform’s two-sided pricing strategy through modeling the trades between the participating sellers and buyers. In this approach, the network effects emerge endogenously through the equilibrium trading strategies of the two sides. We show that platform pricing depends crucially on the characteristics associated with market liquidity, including both sides’ entry costs, the buyers’ preferences, and the distribution of the sellers’ quality. The platform may subsidize sellers if the market is sufficiently liquid, whereas buyer subsidy can be optimal given an illiquid market. We also illustrate the impact of the sellers’ quality heterogeneity on the platform’s optimal …
Should We Love Or Hate Big Data? The Good, The Bad, And The Ugly, Dennis Crossen M.Sc., Mba, Karti Puranam Phd, Madjid Tavana Phd
Should We Love Or Hate Big Data? The Good, The Bad, And The Ugly, Dennis Crossen M.Sc., Mba, Karti Puranam Phd, Madjid Tavana Phd
Explorer Café
No abstract provided.
Faculty Research Interest Database, David Owerbach
Faculty Research Interest Database, David Owerbach
Office of Research Institutional Research and Scholarship
No abstract provided.
Tsu Faculty Publication Database, David Owerbach
Tsu Faculty Publication Database, David Owerbach
Office of Research Institutional Research and Scholarship
No abstract provided.
Managing Seller Heterogeneity In A Competitive Marketplace, R. Wu, Mei Lin
Managing Seller Heterogeneity In A Competitive Marketplace, R. Wu, Mei Lin
Research Collection School Of Computing and Information Systems
The growth of online marketplaces is accompanied by significant heterogeneity of the third-party sellers. The marketplace owner often applies policies that favor the sellers who offer higher values to buyers, which puts the lower-value sellers at an even greater disadvantage. This leads to the phenomenon of Matthew Effect. Our study focuses on a marketplace owner’s policy in managing seller heterogeneity and analyzes Matthew Effect in a competitive market environment. By extending the circular city model, we analytically examine the price competition among a large number of sellers that differ both in variety and in their value offerings. We present the …
An Ecological Model For Digital Platforms Maintenance And Evolution, Paolo Rocchi, Paolo Spagnoletti, Subhajit Datta
An Ecological Model For Digital Platforms Maintenance And Evolution, Paolo Rocchi, Paolo Spagnoletti, Subhajit Datta
Research Collection School Of Computing and Information Systems
The maintenance of software products has been studied extensively in both software engineering and management information systems. Such studies are mainly focused on the activities that take place prior to starting the maintenance phase. Their contribution is either related to the improvement of software quality or to validating contingency models for reducing maintenance efforts. The continuous maintenance philosophy suggests to shift the attention within the maintenance phase for better coping with the evolutionary trajectories of digital platforms. In this paper, we examine the maintenance process of a digital platform from the perspective of the software vendor. Based on our empirical …
Exercise Science, Currey Mccullough
Exercise Science, Currey Mccullough
Undergraduate Research Award
No abstract provided.
Auction With Rolling Horizon For Urban Consolidation Centre, Chen Wang, Stephanus Daniel Handoko, Hoong Chuin Lau
Auction With Rolling Horizon For Urban Consolidation Centre, Chen Wang, Stephanus Daniel Handoko, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
A number of cities around the world have adopted urban consolidation centres (UCCs) to address some challenges of their last-mile deliveries. At the UCC, goods are consolidated based on their destinations prior to their deliveries into the city centre. In many examples, the UCC owns a fleet of eco-friendly vehicles to carry out the deliveries. A carrier/shipper who buys the UCC’s service hence no longer needs to enter the city centre in which time-window and vehicle-type restrictions may apply. As a result, it becomes possible to retain the use of large trucks for the economies of scale outside the city …
Strategic Sourcing In The Presence Of Uncertain Supply And Retail Competition, Jianqing Chen, Zhiling Guo
Strategic Sourcing In The Presence Of Uncertain Supply And Retail Competition, Jianqing Chen, Zhiling Guo
Research Collection School Of Computing and Information Systems
This paper develops an analytical model to evaluate competing retail firms’ sourcing strategies in the presence of supply uncertainty. We consider a common supplier that sells its uncertain supply to two downstream retail firms engaging in price competition in a horizontally differentiated product market. The focal firm has a dual-sourcing option, while the rival firm can only source from the common supplier. We assess the system-wide effects of supply uncertainty on the focal firm's incentive to pursue the dual-sourcing strategy. We find that the focal firm's dual-sourcing strategy can create a win-win situation that leads to increased retail prices and …
Photos That Changed The World: Ted Talk Annotated Resource List, Chris Riehl
Photos That Changed The World: Ted Talk Annotated Resource List, Chris Riehl
Undergraduate Research Award
No abstract provided.
Climate Change And Its Implications For The Insurance Industry, Adam Liska, Eric Holley
Climate Change And Its Implications For The Insurance Industry, Adam Liska, Eric Holley
Adam Liska Papers
Climate change will lead to a probable increase in the occurrence of weather-related disaster events. These events could lead to declining revenue in the insurance industry, the world’s largest economic sector, with revenue of $4.6 trillion per year, or 7% of the global economy (Mills, 2012). Climatic events have accounted for 72% of global insurance claims and insured losses from 1980 to 2012, totaling $0.97 trillion (Munich Re, 2013). Estimated losses are ~0.5% of global Gross Domestic Product (GDP) and losses are increasing at ~6% a year in real terms (Lomborg, 2010). The United Nations Framework Convention on Climate Change …
Capacity Planning With Financial And Operational Hedging In Low‐Cost Countries, Lijian Chen, Shanling Li, Letian Wang
Capacity Planning With Financial And Operational Hedging In Low‐Cost Countries, Lijian Chen, Shanling Li, Letian Wang
MIS/OM/DS Faculty Publications
The authors of this paper outline a capacity planning problem in which a risk-averse firm reserves capacities with potential suppliers that are located in multiple low-cost countries. While demand is uncertain, the firm also faces multi-country foreign currency exposures. This study develops a mean-variance model that maximizes the firm’s optimal utility and derives optimal utility and optimal decisions in capacity and financial hedging size. The authors show that when demand and exchange rate risks are perfectly correlated, a risk- averse firm, by using financial hedging, will achieve the same optimal utility as a risk-neutral firm. In this paper as well, …
Exploring Variety Seeking Behavior In Mobile Users, Kasthuri Jayarajah, Robert J. Kauffman, Archan Misra
Exploring Variety Seeking Behavior In Mobile Users, Kasthuri Jayarajah, Robert J. Kauffman, Archan Misra
Research Collection School Of Computing and Information Systems
Understanding the personality traits and current attitudes of individual consumers is crucial for retailers and mobile advertisers. In this paper, we investigate the phenomenon of “variety seeking tendencies" in mobile users in their (1) online (represented by their App usage behavior), and (2) physical (represented by their location visits) worlds. We show that different categories of users exhibit different levels of variety. Further, by analyzing at various time scales, we show that there exists correlation between when a person is likely to visit new places in the real world and when he/she is likely to explore new Apps in the …
Walmart's Sustainability Journey: Elizabeth Fretheim And The Search For Sustainable Trucking, David G. Hyatt
Walmart's Sustainability Journey: Elizabeth Fretheim And The Search For Sustainable Trucking, David G. Hyatt
Wal-Mart Sustainability Case Project
In early 2014 Elizabeth Fretheim, Director, Business Strategy and Sustainability for Logistics with Walmart, was reviewing with other members of the transportation team data on the fuel efficiency of their private fleet, which included over 6,000 trucks and 61,000 trailers operated by over 7,000 drivers. The logistics and transportation groups were vigilant in their basic goals of (1) loading trucks efficiently, (2) driving fewer miles, and (3) investing in fuel efficient equipment. But this issue concerned the drivers’ impact on mpg. In particular, the data showed that idling had increased over the past calendar year (2013) compared to the year …
2014 Tsu Undergraduate Research Program, David Owerbach
2014 Tsu Undergraduate Research Program, David Owerbach
Office of Research Institutional Research and Scholarship
No abstract provided.
Diversified Social Influence Maximization, Fangshuang Tang, Qi Liu, Hengshu Zhu, Enhong Chen, Feida Zhu
Diversified Social Influence Maximization, Fangshuang Tang, Qi Liu, Hengshu Zhu, Enhong Chen, Feida Zhu
Research Collection School Of Computing and Information Systems
For better viral marketing, there has been a lot of research on social influence maximization. However, the problem that who is influenced and how diverse the influenced population is, which is important in real-world marketing, has largely been neglected. To that end, in this paper, we propose to consider the magnitude of influence and the diversity of the influenced crowd simultaneously. Specifically, we formulate it as an optimization problem, i.e., diversified social influence maximization. First, we present a general framework for this problem, under which we construct a class of diversity measures to quantify the diversity of the influenced crowd. …
The Learning Curves In Open-Source Software (Oss) Development Network, Youngsoo Kim, Lingxiao Jiang
The Learning Curves In Open-Source Software (Oss) Development Network, Youngsoo Kim, Lingxiao Jiang
Research Collection School Of Computing and Information Systems
We examine the learning curves of individual software developers in Open-Source Software (OSS) Development. We collected the dataset of multi-year code change histories from the repositories for five open source software projects involving more than 100 developers. We build and estimate regression models to assess individual developers' learning progress (in reducing the likelihood they may make a bug). Our estimation results show that developer's coding experience does not decrease bug ratios while cumulative bug-fixing experience leads to learning progress. The results may have implications and provoke future research on project management about allocating resources on tasks that add new code …
Near-Optimal Nonmyopic Contact Center Planning Using Dual Decomposition, Akshat Kumar, Sudhanshu Singh, Pranav Gupta, Gyana Parija
Near-Optimal Nonmyopic Contact Center Planning Using Dual Decomposition, Akshat Kumar, Sudhanshu Singh, Pranav Gupta, Gyana Parija
Research Collection School Of Computing and Information Systems
We address the problem of minimizing staffing cost in a contact center subject to service level requirements over multiple weeks. We handle both the capacity planning and agent schedule generation aspect of this problem. Our work incorporates two unique business requirements. First, we develop techniques that can provide near-optimal staffing for 247 contact centers over long term, upto eight weeks, rather than planning myopically on a week-on-week basis. Second, our approach is usable in an online interactive setting in which staffing managers using our system expect high quality plans within a short time period. Results on large real world and …
A Retail Bank's Bpm Experience, Shankararaman, Venky, Gottipati Swapna, Randall E. Duran
A Retail Bank's Bpm Experience, Shankararaman, Venky, Gottipati Swapna, Randall E. Duran
Research Collection School Of Computing and Information Systems
This real-life case study, which was undertaken by a leading financial services group in the Asia-Pacific region, is used to demonstrate the innovative use of BPM (Business Process Management) technology in a competitive business area. It describes how a BPM project, within the Application Verification and Capture (AVC), was conceived, designed and implemented in order to deliver strategic value to the organization. Hereafter, the financial services group will be referred to as “the bank”. The AVC project was targeted at one of the bank's processes called the Application Verification and Capture (AVC) process for unit trust products. This process involved …
Board Interlock Networks And The Use Of Relative Performance Evaluation, Qian Hao, Nan Hu, Ling Liu, Lee J. Yao
Board Interlock Networks And The Use Of Relative Performance Evaluation, Qian Hao, Nan Hu, Ling Liu, Lee J. Yao
Research Collection School Of Computing and Information Systems
Purpose - The purpose of this paper is to explore how networks of boards of directors affect relative performance evaluation (RPE) in chief executive officer (CEO) compensation. Design/methodology/approach - In this study, the authors propose that an interlocking network is an important inter-corporate setting, which has a bearing on whether boards decide to use RPE in CEO compensation. They adopt four typical graph measures to depict the centrality/position of each board in the interlock network: degree, betweenness, eigenvector and closeness, and study their impacts on RPE use. Findings - The authors find that firms that have more connected board members …
Information Security As A Determinant Of Nation’S Networked Readiness: A Country Level Analysis, Manal Yunis, Madison Ngafeeson, Kai Koong
Information Security As A Determinant Of Nation’S Networked Readiness: A Country Level Analysis, Manal Yunis, Madison Ngafeeson, Kai Koong
Conference Papers in Published Proceedings
No abstract provided.
Competition Policy And The Technologies Of Information, Herbert J. Hovenkamp
Competition Policy And The Technologies Of Information, Herbert J. Hovenkamp
All Faculty Scholarship
When we speak about information and competition policy we are usually thinking about oral or written communications that have an anticompetitive potential, and mainly in the context of collusion of exclusionary threats. These are important topics. Indeed, among the most difficult problems that competition policy has had to confront over the years is understanding communications that can be construed as either threats to exclude or as offers to collude or facilitators of collusion.
My topic here, however, is the relationship between information technologies and competition policy. Technological change can both induce and undermine the use of information to facilitate anticompetitive …
Paths Of Influence For Innovations In Financial Is And Technology Ecosystems, Jun Liu, Robert John Kauffman, Dan Ma
Paths Of Influence For Innovations In Financial Is And Technology Ecosystems, Jun Liu, Robert John Kauffman, Dan Ma
Research Collection School Of Computing and Information Systems
Predicting technological innovations in financial information systems (IS) and technology ecosystems has been challenging for technology forecasters and industry analysts due to their underlying complexity. Technology-based financial innovations over the past four decades, such as programmed trading in the 1980s, risk-adjusted return on capital-based financial risk management systems in the 1990s, high-frequency trading and Internet banking in 2000s, and now mobile payments in the 2010s, have all led to transformations in the financial services industry. What basis can be identified to predict such new innovations? And what areas of financial services will they affect? This study applies the technology ecosystem …
Technology Investment Decision-Making Under Uncertainty In Mobile Payment Systems, Robert J. Kauffman, Jun Liu, Dan Ma
Technology Investment Decision-Making Under Uncertainty In Mobile Payment Systems, Robert J. Kauffman, Jun Liu, Dan Ma
Research Collection School Of Computing and Information Systems
Innovations in the mobile payments industry provide potentially profitable investment opportunities for banks. Nonetheless, significant uncertainties are associated with decision-making for this IT investment context, regarding future market conditions, technology standards, and consumer and merchant responses, especially their willingness to adopt. As a result, traditional capital budgeting approach and experienced intuition have not been effective. We develop a model to support a bank’s mobile payment systems adoption decision-making at the firm level when it faces endogenous technological risks and exogenous market conditions. This study applies theory and modeling from financial economics for decision-making under uncertainty to investments in m-payment systems …