Crowdsourcing Last Mile Delivery: Strategic Implications and Future Research Directions

The rise of e‐commerce over the past 20 years has created an increased need for responsive omnichannel distribution to meet the last mile challenge. Some companies are experimenting with the use of the sharing economy business model to augment distribution strategies. The use of so‐called “Crowdsourced Logistics” (CSL) is becoming more prevalent in practice, but the role in logistics strategy of this new phenomenon has not been thoroughly investigated and understood. Using a contingency theory lens, this research contributes a nascent understanding of how CSL performs in terms of logistics effectiveness by simulating same‐day delivery services from a distribution center to 1,000 customer locations throughout New York City under dynamic market conditions and by comparing the results to those of a traditional dedicated fleet of delivery drivers. The findings are analyzed to suggest how firms may find strategic benefit using CSL. An agenda for future research is provided to explore these strategic implications and to deepen knowledge about the CSL phenomenon.     

Introduction to design and analysis of production systems

In a two-party VMI channel, the vendor operates the basic stocking and delivery functions and makes inventory replenishment decisions while the retailer is responsible for customer acquisition and in-store services. This paper focuses on such retail channel and proposes an analytical model for the partners in supply channel to determine the inventory policy with the objective of optimizing system net profit. The model explicitly incorporates issues from both the vendor and the retailer in order to derive a policy for mutual benefits. To illustrate and obtain insights from the proposed solution procedure, we devise a set of numerical analyses based on various scenarios. Factors such as shelf-space-dependent demand, shelf-space capacity, demand pattern, logistics characteristics, and disparity between holding costs of the warehouse and the retail store are also investigated.     

A channel model of investment decision: An intertemporal planning approach

The paper considers some theoretical implications of the Oslo-Cairo intertemporal planning model (the channel model). A version of the channel model with private and public investment projects is developed. The optimality properties of the model are derived. It is shown that: (i) Pareto solution can be supported by competitive prices and (ii) a ranking criterion can be constructed in the spirit of cost-and-benefit analysis. The results brings the channel model theoretically in line with the classical resource allocation models.This paper is a revised and abridged version of Chapter Two of my doctoral dissertation at the University of Kansas. I wish to thank Professor Mohamed El-Hodiri, Chairman of my thesis committee, for his guidance and support and for introducing me to the theory of optimal control with delays. I would also like to thank Professors Van Vleck, Paul Comolli, David Burress and Tom Weiss for their helpful suggestions. The paper has benefited substantially from the comments provided by anonymous referees. I remain responsible for all errors and inaccuracies.     

Predicting abnormal returns from news using text classification

We show how text from news articles can be used to predict intraday price movements of financial assets using support vector machines. Multiple kernel learning is used to combine equity returns with text as predictive features to increase classification performance and we develop an analytic center cutting plane method to solve the kernel learning problem efficiently. We observe that while the direction of returns is not predictable using either text or returns, their size is, with text features producing significantly better performance than historical returns alone.     

Active portfolio management with benchmarking: A frontier based on alpha

Active portfolio management often involves the objective of selecting a portfolio with minimum tracking error variance (TEV) for some expected gain in return over a benchmark. However, Roll (1992) shows that such portfolios are generally suboptimal because they do not belong to the mean-variance frontier and are thus overly risky. Our paper proposes an appealing method to lessen this suboptimality that involves the objective of selecting a portfolio from the set of portfolios that have minimum TEV for various levels of ex-ante alpha, which we refer to as the alpha-TEV frontier. Since practitioners commonly use ex-post alpha to assess the performance of managers, the use of this frontier aligns the objectives of managers with how their performance is evaluated. Furthermore, sensible choices of ex-ante alpha lead to the selection of portfolios that are less risky (in variance terms) than the portfolios that active managers would otherwise select.     

Dimensions of service quality and satisfaction in healthcare: a patient’s satisfaction index

The assessment of patients’ satisfaction levels, and the knowledge of what factors influence satisfaction are very important for healthcare managers as it influences healthcare results and healthcare institutions financial results. The objective of this research is to analyse patients’ satisfaction levels in a set of four Portuguese primary Healthcare Centres, through the estimation of a satisfaction index, which simultaneously explains which dimensions of healthcare quality influence that satisfaction the most. For that, a conceptual model of patients’ satisfaction in primary healthcare was tested using data from a sample of 414 patients. Partial Least Squares path modelling (PLS) was the technique chosen to evaluate the proposed model. The results show that patients’ satisfaction is 60.887 in a scale from 1 to 100, revealing only a medium level of satisfaction. It is also possible to conclude that the most important positive effects on satisfaction are the ones linked to the patient/doctor relationship, the quality of facilities and the interaction with administrative staff, by this order.     

Characteristics of Ethical Business Cultures

The purpose of this study was to identify general characteristics attributed to ethical business cultures by executives from a variety of industries. Our research identified five clusters of characteristics: Mission- and Values-Driven, Stakeholder Balance, Leadership Effectiveness, Process Integrity, and Long-term Perspective. We propose that these characteristics be used as a foundation of a comprehensive model that can be engaged to influence operational practices in creating and sustaining an ethical business culture.     

An iterative approach to the estimation of the abatement costs of harmful emissions

The ability to quantify tradeoffs involved in the process of reducing harmful emissions is essential to successful policy-making in the environmental planning area. The approach by Färe et al. (J Econom 126: 469–492, 2005) to computing point estimates of the marginal abatement costs (MACs) of reducing pollution by estimating the directional output distance function has been gaining popularity in recent years. The contribution of this study is to compute MACs as slopes of the iterated parametric production possibilities frontier (PPF) estimated on the basis of the set of efficient projections of observable output combinations obtained from the parameters of directional output distance function. Policy makers are thus provided with the general shape of the production possibilities set for a polluting technology rather than with a set of point estimates of the MACs. We apply our methodology to a balanced panel of seven Korean manufacturing sectors spanning the period between 1999 and 2009, obtaining theoretically consistent concave PPFs based on a large set of directional output distance vectors. Finally, we estimate the parameters of a directional output distance function corresponding to the iterated PPF.     

Oil shocks and fiscal policy procyclicality in Angola: Assessing the role of asymmetries and institutions

The aim of this article is to examine procyclicality in Angola, assess whether it behaves asymmetrically over the oil cycle, and test the hypothesis that institutions and fiscal rules can moderate procyclicality. Received wisdom suggests that in resource‐rich economies, fiscal policy tends to be procyclical albeit improvements in the past decades due to institutional reforms. Similar evidence is available for oil‐rich economies; however, we know little about how procyclicality behaves over the oil cycle; that is, whether spending (and revenue) grows faster during oil‐market booms, than during downturns. Further, evidence on institutions and fiscal rules in oil‐exporting economies is still ambiguous. We bridge both gaps by examining fiscal policy procyclicality in Angola, one of the largest oil‐producers in Africa, and a country that has experienced an intense process of institutional reforms since 2002. Therefore, it is an ideal candidate for our study. We use data for the 2004–2014 period to estimate a threshold vector error correction model that extends vector autoregressive and vector correction methods used up to date. Our results indicate that revenue and spending are generally procyclical to oil shocks, that revenue is more procyclical during booms, and that institutional quality, net inflows, financial openness, and fiscal rules affect procyclicality.