Online food delivery services rely on urban transportation to alleviate customers' burden of traveling in highly dense cities. As new business models, these services exploit user-generated contents to promote collaborative consumption among its members. This study aims to evaluate the impact of traffic conditions (through the use of Google Maps API) on key performance indicators of online food delivery services (through the use of web scraping techniques to retrieve customer's ratings and the physical location of restaurants as provided by Facebook). From a collection of 19,934 possible routes between the physical location of 787 online providers and 4296 customers in Bogotá city, we found that traffic conditions exerted no practical effects on transactions volume and delivery time fulfillment, even though early deliveries showed a mild association with the number of comments provided by customers after receiving their orders at home.
Consumer psychology faces serious issues of internal and external relevance. Most of these issues originate in seven fundamental problems with the way consumer psychologists plan and conduct their research—problems that could be called “the seven sins of consumer psychology.” These seven “sins” are (1) a narrow conception of the scope of consumer behavior research; (2) adoption of a narrow set of theoretical lenses; (3) adherence to a narrow epistemology of consumer research; (4) an almost exclusive emphasis on psychological processes as opposed to psychological content; (5) a strong tendency to overgeneralize from finite empirical results, both as authors and as reviewers; (6) a predisposition to design studies based on methodological convenience rather than on substantive considerations; and (7) a pervasive confusion between “theories of studies” and studies of theories. Addressing these problems (“atoning for these sins”) would greatly enhance the relevance of the field. However, this may require a substantial rebalancing of the field’s incentives to reward actual research impact rather than sheer number of publications in major journals.
We describe the R np package via a series of applications that may be of interest to applied econometricians. The np package implements a variety of nonparametric and semiparametric kernel-based estimators that are popular among econometricians. There are also procedures for nonparametric tests of signiﬁcance and consistent model speciﬁcation tests for parametric mean regression models and parametric quantile regression models, among others. The np package focuses on kernel methods appropriate for the mix of continuous, discrete, and categorical data often found in applied settings. Data-driven methods of bandwidth selection are emphasized throughout, though we caution the user that data-driven bandwidth selection methods can be computationally demanding.
This chapter describes databases, structured query language (SQL), and several R packages that enable to connect to databases and to access the data stored in them. It first provides a brief overview of how R and databases are related to one another and defines some of the vocabulary indispensable for talking about databases. The chapter then presents the conceptual basics of relational databases, followed by an introduction to SQL fundamentals, the language to handle relational databases. Relational database management systems (RDBMS) are a specific type of database management system (DBMS) based on the relational model and the most common form of database management systems. The chapter shows how to deal with databases using R'establishing connections, passing through SQL queries, and using convenient functions of the numerous R packages that provide database connectivity.
Ideological consumerism in colombian elections
J C Correa
Correa, J. C., & Camargo, J. (2017). Ideological consumerism in
colombian elections, 2015: Links between political ideology,
twitter activity, and electoral results. Cyberpsychology, Behavior,
and Social Networking, 20(1), 37-43.