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The purpose of this paper is to determine if consumers exhibit a country of service origin preference and to understand what service quality attributes consumers perceive to be most important when receiving services that originate from abroad.

Respondents rated their perception of service quality, measured through an expanded version of the SERVQUAL scale considered appropriate for offshore service encounters, for various countries popular for providing offshore services to the USA. Countries, selected from the A.T. Kearney Offshore Location Attractiveness Index, represented various regions of the world, economic development, cultural distance, and near/offshore locations.

Results, from both regional and national studies, indicate that US citizens possess a country of service origin (COSO) hierarchy based on perceived service quality. Communication, security, and reliability are the most important service quality attributes for consumers when receiving an off‐shored service. Significant differences were identified among countries for each of these service quality attributes.

The findings suggest that firms need to be aware of consumer attitudes and perceptions about countries considered attractive for offshoring. The most preferred countries to consumers for services offshoring are not necessarily the ones with the highest skilled labor, lowest cost, or geographic closeness to the home country.

The paper extends the concept of country of origin (COO) to services and expands the current knowledge base of consumer opinions about services offshoring.

Mathematical analysis with its formulas and models is being used in many of the social sciences, including political science; with the result that scholarly journal articles often require special knowledge to interpret their meaning. Although not all social scientists subscribe to these methods and frequently, letters to the editor decry the use of symbols instead of prose to explain human behavior, the search continues for precise mathematical models that provide a basis for interpreting and predicting political situations.

Ranked preference data arise when a set of judges rank, in order of their preference, a set of objects. Such data arise in preferential voting systems and market research surveys. Covariate data associated with the judges are also often recorded. Such covariate data should be used in conjunction with preference data when drawing inferences about judges.

To cluster a population of judges, the population is modeled as a collection of homogeneous groups. The Plackett-Luce model for ranked data is employed to model a judge's ranked preferences within a group. A mixture of Plackett- Luce models is employed to model the population of judges, where each component in the mixture represents a group of judges.

Mixture of experts models provide a framework in which covariates are included in mixture models. Covariates are included through the mixing proportions and the component density parameters. A mixture of experts model for ranked preference data is developed by combining a mixture of experts model and a mixture of Plackett-Luce models. Particular attention is given to the manner in which covariates enter the model. The mixing proportions and group specific parameters are potentially dependent on covariates. Model selection procedures are employed to choose optimal models.

Model parameters are estimated via the ‘EMM algorithm’, a hybrid of the expectation–maximization and the minorization–maximization algorithms. Examples are provided through a menu survey and through Irish election data. Results indicate mixture modeling using covariates is insightful when examining a population of judges who express preferences.

This chapter discusses the use of an extended stage model for the evaluation of the adoption of e-business in small and medium-sized enterprises (SMEs). Empirical studies of e-business adoption are rare in Middle Eastern and developing countries and the chapter provides valuable insight into this region, by presenting an account of the use of the extended stage model to explore the level of e-business adoption among Yemeni SMEs.

In making this examination, the challenges and opportunities that accompany e-business adoption are revealed. The internal drivers and barriers, such as finance and skills, are recognised along with the external factors that include infrastructure and legislation. It also provides valuable insight into the macro-level sociopolitical determinants of e-business adoption that have not previously been appreciated; the study was undertaken during the Yemen Civil War in 2016.

Current adoption models imply that organisations adopt technologies in a linear fashion, gradually increasing complexity and capability. This study makes an important contribution by recognising that there are multiple points at which SMEs may ‘enter’ the technology-adoption ladder.

This issue is a selected bibliography covering the subject of leadership.

The Bureau of Economics in the Federal Trade Commission has a three-part role in the Agency and the strength of its functions changed over time depending on the preferences and ideology of the FTC’s leaders, developments in the field of economics, and the tenor of the times. The over-riding current role is to provide well considered, unbiased economic advice regarding antitrust and consumer protection law enforcement cases to the legal staff and the Commission. The second role, which long ago was primary, is to provide reports on investigations of various industries to the public and public officials. This role was more recently called research or “policy R&D”. A third role is to advocate for competition and markets both domestically and internationally. As a practical matter, the provision of economic advice to the FTC and to the legal staff has required that the economists wear “two hats,” helping the legal staff investigate cases and provide evidence to support law enforcement cases while also providing advice to the legal bureaus and to the Commission on which cases to pursue (thus providing “a second set of eyes” to evaluate cases). There is sometimes a tension in those functions because building a case is not the same as evaluating a case. Economists and the Bureau of Economics have provided such services to the FTC for over 100 years proving that a sub-organization can survive while playing roles that sometimes conflict. Such a life is not, however, always easy or fun.

The Disadvantaged Schools Program (D.S.P.) has been an important and integral part of education for many students in Australia for over a decade. The original goals and philosophy of the program still hold true today. However, we suggest that perhaps it is time to build on the foundation which has been developed by adding a much stronger academic strand as part of the overall D.S.P. mission. Recent school effectiveness findings offer a powerful and compatible opportunity for the D.S.P. to provide a more complete education for their students. The adoption of the school effectiveness characteristics by D.S.P. schools would not interfere with, but rather would enhance an already valuable program. The eight most important school effectiveness variables are reviewed in this article. We then argue that by combining the current focus of the D.S.P. with the focus of effective schools research, the overall quality of education received by students in Program schools can be enhanced. We argue that critical elements of the effective schools movement, such as emphasis on academic success and cognitive skills, can help create D.S.P. projects that produce a wider array of important student outcomes. By making effective school variables an important aspect of the D.S.P., we believe that both equity and quality will be emphasized to a greater extent than they are currently.