A Mixed-Method Multiple Case Study Of Three Business Models For Local Healthy Food Delivery Systems In Underprivileged Urban Areas, Gretchen Elizabeth Krivak, Garth B. Woodruff, S. Forrest, Hannah Mbungu, Kechler Orcel, Soraya Fish, Sherine R. Brown-Fraser
Define a USDA food desert Analyze the three business models for benefits and deficiencies Identify methods for starting a sustainable mobile farmers market program. Over 40% of Berrien County Michigan land use is agricultural. Many products are fruits and vegetables. Yet, the county has six identified USDA defined Food Deserts. Past research, based on a mobile farmers market, confirmed local trends and deficits. The purpose for this research is to define a sustainable business model that delivers healthy local food options to USDA Food Deserts combating food inequity. A mixed method multiple case study was created to test three business ...
Exploring The Impacts Of Salary Allocation On Team Performance, 2017 University of Pennsylvania
Exploring The Impacts Of Salary Allocation On Team Performance, Jimmy Gao
Summer Program for Undergraduate Research (SPUR)
Study of salary has been an increasingly important area in professional sports literature. In particular, salary allocation can be a significant factor of team performance in NBA, given credit to the wisdom of team managers. This paper seeks to extend the scope of existing research on basketball by investigating on how salary allocation affected team performance and exploring other factors that lead to team success. Our findings indicate a moderate correlation between salary allocation and team performance, while average Player Efficiency Rating is a more crucial factor of team performance in comparison.
Herding And Anchoring In Macroeconomic Forecasts: The Case Of The Pmi, 2017 Chapman University
Herding And Anchoring In Macroeconomic Forecasts: The Case Of The Pmi, John B. Broughton, Bento J. Lobo
Business Faculty Articles and Research
We test if analysts display multiple biases in forecasting the Institute for Supply Management’s (ISM) manufacturing Purchasing Manager’s Index (PMI). We adopt a test that does not require knowledge of the forecaster’s prior information set and is robust to rational clustering, correlated forecast errors and outliers. We find that analysts forecast the PMI poorly and display multiple biases when forecasting. In particular, forecasters anti-herd and anti-anchor. Anti-herding supports a reputation-based notion that forecasters are rewarded not only for forecast accuracy but also for being the best forecast at a single point in time. Anti-anchoring is consistent with ...
How Do Recommender Systems Affect Sales Diversity? A Cross-Category Investigation Via Randomized Field Experiment, 2017 University of Pennsylvania
How Do Recommender Systems Affect Sales Diversity? A Cross-Category Investigation Via Randomized Field Experiment, Dokyun Lee, Kartik Hosanagar
We investigate the impact of collaborative filtering recommender algorithms (e.g., Amazon's “Customers who bought this item also bought”) commonly used in e-commerce on sales diversity. We use data from a randomized field experiment run on a top retailer in North America across 82,290 SKUs and 1,138,238 users. We report four main findings. First, we demonstrate across a wide range of product categories that the use of traditional collaborative filters (or CFs) is associated with a decrease in sales diversity relative to a world without product recommendations. Further, the design of the CF matters. CFs based ...
The Discrete Voronoi Game In ℝ2, 2017 University of Pennsylvania
The Discrete Voronoi Game In ℝ2, Aritra Banik, Bhaswar B. Bhattacharya, Sandip Das, Satyaki Mukherjee
In this paper we study the last round of the discrete Voronoi game in ℝ2, a problem which is also of independent interest in competitive facility location. The game consists of two players P1 and P2, and a finite set U of users in the plane. The players have already placed two disjoint sets of facilities F and S, respectively, in the plane. The game begins with P1 placing a new facility followed by P2 placing another facility, and the objective of both the players is to maximize their own total payoffs. In this paper we propose polynomial time ...
Consumer Attitudes And Purchase Intentions Of Cruises In China, 2017 University of Nevada, Las Vegas
Consumer Attitudes And Purchase Intentions Of Cruises In China, Wenjia Han
UNLV Theses, Dissertations, Professional Papers, and Capstones
This study examined the impact of consumers’ attitudes towards cruises on their purchase intention of cruises. A sample of 229 past outbound travelers in China were surveyed via an online self-administered survey sent by a Chinese online survey platform named ’So Jump’. The survey used a two-part statement evaluation format to measure cruise purchase intentions and the factors that impact the intentions. Respondents were asked to rate their level of agreement, the important of the sub-factors, and the likelihood to participate in certain activities on a seven point Likert scale. Use the theory of planned behavior as the base, the ...
A Systematic Literature Review: Existing Hospitality & Tourism Research On Big Data, 2017 University of Nevada, Las Vegas
A Systematic Literature Review: Existing Hospitality & Tourism Research On Big Data, Jiaojiao Song
UNLV Theses, Dissertations, Professional Papers, and Capstones
Big Data has been in the eye of storm in all walks of live. Since the tourism industry is able to generate tons of data each day, Big Data has caught the attention of scholars and professionals of the industry. People might hear of Big Data here and there, yet are they clear about what Big Data means? Does Big Data refer to a certain amount data or a technology to acquire information to support evidenced decision?
Unfortunately there is no general consensus in academic area according to the book, Big Data: Principals and Paradigms (Buyya, Calheiros, & Dastjerdi, 2016) . The ...
Drip Pricing When Consumers Have Limited Foresight: Evidence From Driving School Fees, 2017 University of Pennsylvania
Drip Pricing When Consumers Have Limited Foresight: Evidence From Driving School Fees, Katja Seim, Maria Ana Vitorino, David M. Muir
This paper empirically investigates the add-on or "drip" pricing behavior of firms. We present a model in which consumers purchase a base product and, with some probability, an add-on product from the same firm, but are not always attentive to their possible need for the add-on product. We show that a loss leader pricing strategy emerges whereby firms price the base product below, and the add-on above, standalone pricing levels. We test the implications of the model in the Portuguese market for driving instruction where students frequently pay for repeat driving exams and additional lessons upon failing their initial exam ...
An Exploration Of The Organizational Attributes That Attract High Quality Pilots To Regional Airlines, Andrew Reitz
Doctoral Dissertations and Projects
The purpose of this study was to identify which organizational attributes affected the decision to apply to or accept an employment offer as a pilot for a regional airline. The regional airlines in the United States faced a significant shortage of qualified pilot applicants. The shortage was expected to worsen over the next decade. It came from an increase in mandatory retirements, major airline growth and hiring, an increase in pilots leaving the profession coupled with a reduction in the number of candidates beginning flight training. Those regional carriers that could meet the most needs and desires of applicants would ...
Is Advance Selling Desirable With Competition?, 2017 University of Pennsylvania
Is Advance Selling Desirable With Competition?, Gérard P. Cachon, Pnina Feldman
It has been shown that a monopolist can use advance selling to increase profits. This paper documents that this may not hold when a firm faces competition. With advance selling a firm offers its service in an advance period, before consumers know their valuations for the firms’ services, or later on in a spot period, when consumers know their valuations. We identify two ways in which competition limits the effectiveness of advance selling. First, while a monopolist can sell to consumers with homogeneous preferences at a high price, this homogeneity intensifies price competition, which lowers profits. However, the firms may ...
A Cross-Cohort Changepoint Model For Customer-Base Analysis, 2017 University of Pennsylvania
A Cross-Cohort Changepoint Model For Customer-Base Analysis, Arun Gopalakrishnan, Eric T. Bradlow, Peter S. Fader
We introduce a new methodology that can capture and explain differences across a series of cohorts of new customers in a repeat-transaction setting. More specifically, this new framework, which we call a vector changepoint model, exploits the underlying regime structure in a sequence of acquired customer cohorts to make predictive statements about new cohorts for which the firm has little or no longitudinal transaction data. To accomplish this, we develop our model within a hierarchical Bayesian framework to uncover evidence of (latent) regime changes for each cohort-level parameter separately, while disentangling cross-cohort changes from calendar-time changes. Calibrating the model using ...
Factors Affecting Virtual Gift Acceptance: Mediating Roles Of Hedonic And Utilitarian Values, 2017 Dakota State University
Factors Affecting Virtual Gift Acceptance: Mediating Roles Of Hedonic And Utilitarian Values, Eric M. Tamandja, Assion Lawson-Body, Laurence Lawson-Body, Jun Liu
Faculty Research & Publications
There is little formalized knowledge of virtual gifting in the information technology (IT) literature. The objective of this paper is to explore the factors affecting the acceptance of virtual gifts and specifically the factors within a virtual gift that affect individuals’ intention to accept it and the mediating role of these factors. This research combines several acceptances, hedonic and utilitarian view related theories to explore the factors affecting acceptance of virtual gifts. Moreover, this study investigates the effects of usefulness, beautifulness, subjective norms of the receiver, and importance of the giver of a virtual gift as determinants of its utilitarian ...
Mortality Rate Estimation And Standardization For Public Reporting: Medicare's Hospital Compare, 2017 University of Pennsylvania
Mortality Rate Estimation And Standardization For Public Reporting: Medicare's Hospital Compare, Edward I. George, Veronika Ročková, Paul R. Rosenbaum, Ville A. Satopää, Jeffrey H. Silber
Bayesian models are increasingly fit to large administrative datasets and then used to make individualized recommendations. In particular, Medicare’s Hospital Compare webpage provides information to patients about specific hospital mortality rates for a heart attack or acute myocardial infarction (AMI). Hospital Compare’s current recommendations are based on a random-effects logit model with a random hospital indicator and patient risk factors. Except for the largest hospitals, these individual recommendations or predictions are not checkable against data, because data from smaller hospitals are too limited to provide a meaningful check. Before individualized Bayesian recommendations, people derived general advice from empirical ...
Walking Firms Through It Decisions, 2017 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.
The Spike-And-Slab Lasso, 2016 University of Pennsylvania
The Spike-And-Slab Lasso, Veronika Ročková, Edward I. George
Despite the wide adoption of spike-and-slab methodology for Bayesian variable selection, its potential for penalized likelihood estimation has largely been overlooked. In this article, we bridge this gap by cross-fertilizing these two paradigms with the Spike-and-Slab LASSO procedure for variable selection and parameter estimation in linear regression. We introduce a new class of self-adaptive penalty functions that arise from a fully Bayes spike-and-slab formulation, ultimately moving beyond the separable penalty framework. A virtue of these nonseparable penalties is their ability to borrow strength across coordinates, adapt to ensemble sparsity information and exert multiplicity adjustment. The Spike-and-Slab LASSO procedure harvests efficient ...
Constructed Second Control Groups And Attenuation Of Unmeasured Biases, 2016 University of Pennsylvania
Constructed Second Control Groups And Attenuation Of Unmeasured Biases, Samuel D. Pimentel, Dylan S. Small, Paul R. Rosenbaum
The informal folklore of observational studies claims that if an irrelevant observed covariate is left uncontrolled, say unmatched, then it will influence treatment assignment in haphazard ways, thereby diminishing the biases from unmeasured covariates. We prove a result along these lines: it is true, in a certain sense, to a limited degree, under certain conditions. Alas, the conditions are neither inconsequential nor easy to check in empirical work; indeed, they are often dubious, more often implausible. We suggest the result is most useful in the computerized construction of a second control group, where the investigator can see more in available ...
Nonparametric Methods For Doubly Robust Estimation Of Continuous Treatment Effects, 2016 University of Pennsylvania
Nonparametric Methods For Doubly Robust Estimation Of Continuous Treatment Effects, Edward H. Kennedy, Zongming Ma, Matthew D. Mchugh, Dylan S. Small
Continuous treatments (e.g. doses) arise often in practice, but many available causal effect estimators are limited by either requiring parametric models for the effect curve, or by not allowing doubly robust covariate adjustment. We develop a novel kernel smoothing approach that requires only mild smoothness assumptions on the effect curve and still allows for misspecification of either the treatment density or outcome regression. We derive asymptotic properties and give a procedure for data‐driven bandwidth selection. The methods are illustrated via simulation and in a study of the effect of nurse staffing on hospital readmissions penalties.
Minimax Rate-Optimal Estimation Of High-Dimensional Covariance Matrices With Incomplete Data, 2016 University of Pennsylvania
Minimax Rate-Optimal Estimation Of High-Dimensional Covariance Matrices With Incomplete Data, T. Tony Cai, Anru Zhang
Missing data occur frequently in a wide range of applications. In this paper, we consider estimation of high-dimensional covariance matrices in the presence of missing observations under a general missing completely at random model in the sense that the missingness is not dependent on the values of the data. Based on incomplete data, estimators for bandable and sparse covariance matrices are proposed and their theoretical and numerical properties are investigated.
Minimax rates of convergence are established under the spectral norm loss and the proposed estimators are shown to be rate-optimal under mild regularity conditions. Simulation studies demonstrate that the estimators ...
Minimax And Adaptive Estimation Of Covariance Operator For Random Variables Observed On A Lattice Graph, 2016 University of Pennsylvania
Minimax And Adaptive Estimation Of Covariance Operator For Random Variables Observed On A Lattice Graph, T. Tony Cai, Ming Yuan
Covariance structure plays an important role in high-dimensional statistical inference. In a range of applications including imaging analysis and fMRI studies, random variables are observed on a lattice graph. In such a setting, it is important to account for the lattice structure when estimating the covariance operator. In this article, we consider both minimax and adaptive estimation of the covariance operator over collections of polynomially decaying and exponentially decaying parameter spaces. We first establish the minimax rates of convergence for estimating the covariance operator under the operator norm. The results show that the dimension of the lattice graph significantly affects ...
Estimating Top Income And Wealth Shares: Sensitivity To Data And Methods, 2016 University of Pennsylvania
Estimating Top Income And Wealth Shares: Sensitivity To Data And Methods, Jesse Bricker, Alice Henriques, Jacob Krimmel, John Sabelhaus
Business Economics and Public Policy Papers
Administrative income tax data indicate that U.S. top income and wealth shares are both substantial and larger than shares observed in household surveys. However, these estimates are sensitive to the unit of analysis, the income concept measured in tax records, and, in the case of wealth, to assumptions about the correlation between income and wealth. We constrain a household survey—the Survey of Consumer Finances—to be conceptually comparable to tax records and are able to reconcile the much of the difference between the survey and administrative estimates. Wealth estimates from administrative income tax data are sensitive to model ...