Click Here for a Data Scientist: Big Data,Predictive Analytics,and Theory Development in the Era of a Maker Movement Supply Chain

Predictive analytics is impacting many diverse areas, ranging from baseball and epidemiology to forecasting and customer relationship management. Manufacturers, retailers, software companies, and consultants are creatively discovering new applications of big data using predictive analytics in supply chain management and logistics. In practice, predictive analytics is generally atheoretical; however, we develop a 2 × 2 model to explain the role of predictive analytics in the theory development process. This 2 × 2 model shows that in our discipline we have traditionally taken one path to theory development, but that predictive analytics can be a salient component of a comprehensive theory development process. The model points to a number of research questions that need to be addressed by our research community. These questions are not just highly relevant to the academic community but also in urgent need of answers to help practitioners execute the right strategies with greater precision and efficiency. We also discuss how one disruptive trend, the maker movement, changes the nature of who the producers are in the supply chain, making big data even more valuable. As we engage in higher levels of dialogue we will be able to make meaningful progress addressing these vital research topics.     

SWARM INTELLIGENCE: APPLICATION OF THE ANT COLONY OPTIMIZATION ALGORITHM TO LOGISTICS‐ORIENTED VEHICLE ROUTING PROBLEMS

This research evaluates a set of logistics‐oriented vehicle routing problems (VRP) taken from the logistics and supply chain literature under the widely used Clark‐Wright Savings algorithm and the newer metaheuristic method employing a type of swarm intelligence called Ant Colony Optimization (ACO). ACO simulates the decision‐making processes of colonies of ants as they forage for food and is related to other artificial intelligence techniques such as Tabu Search, Simulated Annealing and Genetic Algorithms. Experimentation shows that ACO is successful in finding solutions near the best‐known solutions for problems with up to 20 demand locations. In addition, testing for the affect of spatial patterns suggested by the logistics literature for facility locations appears to make a difference in the quality of the solutions for the two algorithms. Finally, ACO is shown to be superior to the savings algorithm found in software packages and as a result should be tested on even larger, more complex logistics‐oriented vehicle routing problems, representative of those encountered in larger industrial and retail settings.     

The Federal Trade Commission's Anti-trust Attack on Advertising

Over the last decade, American public policy has turned increasingly against advertising. The Federal Trade Commission, in several test cases, has set out to show that advertising strengthens and sustains the power of the monopolist. By and large, the attack has failed, and thereby enhanced the contrary view that advertising is a force for competitive efficiency.     

Merit pay preferences among public sector employees

Organisations have choices about methods of pay, and employee pay adjustment preferences are an important consideration in this decision‐making process. Of particular organisational interest currently are pay systems that seek to link increases with individual performance, usually referred to as merit pay. Researchers have shown that pay adjustment systems that are incompatible with employee preferences can be costly for organisations, and have identified a range of demographic factors that predict support for merit adjustments. This article extends this line of research by investigating the impact of a performance appraisal system and a range of situational factors on the level of support for merit pay in a large public sector research organisation in Australia. The study finds that higher levels of perceived job security are associated with support for merit pay, while good promotional opportunities are associated with lower levels of support. Those who saw the outcomes of the current performance appraisal system as fair were unlikely to support merit pay.     

The Exploitation of Inside Information at the Wall Street Journal: A Test of Strong Form Efficiency

The study examines if tradings on stocks based on the inside information about the “Heard on the Street” column of the Wall Street Journal could generate abnormal returns. We found significant abnormal returns on days t =?1 and t= 0 (publication date) for the stocks related to insider trading. For a comparable control group of noninsider traded stocks, the abnormal returns were not significant on day t=?1 but were significant on day t= 0. The abnormal returns for the insider trade group on days t=?1 and t= 0 were greater than the returns for the control group. The results indicate that the inside information was the cause for the differences.