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You're at a restaurant with an important client when the wine steward heads your way. Nervously glancing at a list of more than 50 bottles, you feel sweat forming on your palms, and know it will be seconds before the tell‐tale beads cascade south over your eyebrows.

The Department of Homeland Security (DHS) states in 2018 that safeguarding “civil liberties is critical” to their official duties. The Office for Civil Rights and Civil Liberties within DHS, as its website explains,

reviews and assesses complaints from the public in areas such as: physical or other abuse; discrimination based on race, ethnicity, national origin, religion, gender, sexual orientation, or disability; inappropriate conditions of confinement; infringements of free speech; violation of right to due process … and any other civil rights or civil liberties violation related to a Department program or activity.

My chapter tracks the centrality of deportability in shaping the civil liberties and rights that DHS is tasked with enforcing. Over the course of the twentieth century, people on US soil saw an expanding list of civil liberties and civil rights. Important scholarship concentrates on the role of the courts, state and federal governments, advocacy groups, social movements, and foreign policy driving these constitutional and cultural changes. For instance, the scholarship illustrates that coming out of World War I, the US Supreme Court ruled that the First Amendment did not protect something the Justices labeled “irresponsible speech.” The Supreme Court soon changed course, opening up an era ever since of more robust First Amendment rights. What has not been undertaken in the literature is an examination of the relationship of deportability to the sweep of civil liberties and civil rights. Starting in the second decade of the twentieth century, federal immigration policymakers began multiplying types of immigration statuses. A century later, among many others, there is the H2A status for temporary low-wage workers, the H2B for skilled labor, and permanent residents with green cards. The deportability of each status constrains access to certain liberties and rights. Thus, in 2016, when people from the Office for Civil Rights and Civil Liberties within DHS act, they are not enforcing a uniform body of rights and liberties that applies equally to citizens and immigrants, or even within the large category of immigrants. Instead, they do so within a complicated matrix of liberties and rights attenuated by deportability, which has been shaped by the history of the twentieth century.

An examination of the ways of measuring the fuel efficiency of business jets, with emphasis on “real world” aerodynamics

Recently, inland Chinese regions have become the major manufacturing base for most manufacturing firms. Accordingly, with this change, many shipping companies attempted to provide proper logistics service activities to maintain their business. Hence, this study aims to empirically examine the logistics service preference segments for Chinese landlocked regions from a manufacturer's perspective. By understanding these attributes, not only shipping companies but also logistics companies can provide proper service to their customers.

The preliminary logistics service attributes are determined using an interview and in-depth questionnaire with logistics experts from the local private and government sectors in southwest China and few international logistics coordinators. This study conducted importance-performance analysis (IPA) and used a customer dissatisfaction attitude index to evaluate the priorities for improving logistics service attributes. Cluster analysis is subsequently performed to group respondents on the basis of their factor scores.

Five crucial logistics service dimensions were identified by the factor analysis, namely, packing and storage, logistics supporting, logistics information, transportation planning and information inquiry. The results also revised the IPA model. The top five service attributes that needed to be improved were carrier selection, ship scheduling inquiry, route planning and inquiry, cargo receiving station and freight forwarding. By applying the factor analysis, this study reduced the 27 logistics attributes derived from the literature review to five underlying critical factors.

This study contributes to the inland logistics by investigating the preferences of manufacturers in Chinese landlocked regions. Moreover, in land logistics in China is lacking in the literature; hence, several important implications can be derived from this study's results.

Free at last, NCR focuses on its technological and market niches to grow and profit as a centenarian start‐up.

The purpose of this paper is to introduce, apply and compare how artificial intelligence (AI), and specifically the IBM Watson system, can be used for content analysis in marketing research relative to manual and computer-aided (non-AI) approaches to content analysis.

To illustrate the use of AI-enabled content analysis, this paper examines the text of leadership speeches, content related to organizational brand. The process and results of using AI are compared to manual and computer-aided approaches by using three performance factors for content analysis: reliability, validity and efficiency.

Relative to manual and computer-aided approaches, AI-enabled content analysis provides clear advantages with high reliability, high validity and moderate efficiency.

This paper offers three contributions. First, it highlights the continued importance of the content analysis research method, particularly with the explosive growth of natural language-based user-generated content. Second, it provides a road map of how to use AI-enabled content analysis. Third, it applies and compares AI-enabled content analysis to manual and computer-aided, using leadership speeches.

For each of the three approaches, nine steps are outlined and described to allow for replicability of this study. The advantages and disadvantages of using AI for content analysis are discussed. Together these are intended to motivate and guide researchers to apply and develop AI-enabled content analysis for research in marketing and other disciplines.

To the best of the authors’ knowledge, this paper is among the first to introduce, apply and compare how AI can be used for content analysis.