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Confirms the empirical test of Hunt and Vitell’s general theory of marketing ethics by Mayo and Marks across four cultures. Uses path analysis to show the core relationships of the general theory of marketing ethics were successfully replicated using over 1,500 students from seven universities in the USA, Canada, the Netherlands, and Australia. States that tomorrow’s managers appeared to use a more deontological approach to making ethical judgements about personal selling. Extends its original research by confirming the positive relationship between the probability and the desirability of consequences. Concludes that, although the model was originally intended to explain management ethical decision making, the study shows that it may be possible to generalize as to how individuals make ethical life decisions.

Argues that salesforce research has typically been conducted in the USA, and that US researchers have developed the theories, designed the research, and interpreted the results. Notes that the majority of subjects and respondents in studies designed to test the US theories have been sales personnel in the USA. Assesses the appropriateness of administering personal selling measures to sales personnel outside the country/culture where the measures were developed. Investigates two paradigms of measurement transport: emic (culture specific) and etic (global). Evaluates the psychometric properties of two popular personal selling measures, SOCO and ADAPTS, in a cross‐national context, revealing mixed support for the etic approach.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product development, and it provides a comparison to an earlier review of the management accounting (MA) literature (Wouters & Morales, 2014).

This structured literature search covers papers published in 23 journals in IOM in the period 1990–2014.

The search yielded a sample of 208 unique papers with 275 results (one paper could refer to multiple cost management methods). The top 3 methods are modular design, component commonality, and product platforms, with 115 results (42%) together. In the MA literature, these three methods accounted for 29%, but target costing was the most researched cost management method by far (26%). Simulation is the most frequently used research method in the IOM literature, whereas this was averagely used in the MA literature; qualitative studies were the most frequently used research method in the MA literature, whereas this was averagely used in the IOM literature. We found a lot of papers presenting practical approaches or decision models as a further development of a particular cost management method, which is a clear difference from the MA literature.

This review focused on the same cost management methods, and future research could also consider other cost management methods which are likely to be more important in the IOM literature compared to the MA literature. Future research could also investigate innovative cost management practices in more detail through longitudinal case studies.

This review of research on methods for cost management published outside the MA literature provides an overview for MA researchers. It highlights key differences between both literatures in their research of the same cost management methods.

This chapter summarizes many conceptual, theoretical, and methodological topics related to studying group communication using qualitative research methods. First, it explains five of the most common theoretical frameworks used by group communication scholars (i.e., symbolic convergence theory, bona fide group perspective, unobtrusive control theory, dialectical theory, and structuration theory). Next, it discusses best practices and issues related to different data collection methods including observations, historical case studies, ethnographies, focus groups, and interview studies. Then, the chapter describes two primary data analytic tools, various iterations of constant comparison method, and qualitative content analysis. Finally, the chapter describes several innovative qualitative methods that may lead to new understandings of group communication processes including discourse analysis and discourse tracing, as well as new approaches to collecting qualitative network data and mediated data. The chapter concludes with a discussion of future research suggestions.

This chapter focuses on the Trump administration's health policies, with an emphasis on its efforts to repeal the Affordable Care Act and its response to the COVID-19 pandemic. It assesses those policies both in the context of the administration's broader goals and motivations, and in the context of systemic deficits and deficiencies in American health policy. I argue that failures of health policy and health security in the face of the pandemic reflect those longstanding weaknesses, much more so than the administration's actions (or inaction).

The purpose of this paper is to explore and replicate the indirect effect of smartphone brand tribalism on purchase intent via brand pride and brand attitude.

Using survey data from 190 US (Study 1) and 432 Qatari (Study 2) smartphone consumers, path analysis is used to evaluate the hypotheses.

For these disparate samples, only the defense of the tribal brand dimension of brand tribalism influences brand pride, which in turn leads to a sequential process of brand attitude and purchase intention.

Using only smartphone data from the USA and Qatar may hinder external validity. As effect sizes in this context are understood, researchers have additional benchmarks for future brand tribalism and brand pride research.

The psychological underpinning and presence of brand tribes in society cannot be overlooked by strategists. Such tribal-laden following is too evident within smartphone communities. By further understanding the effect of brand tribalism on brand pride and subsequent attitudinal response and behavioral intent, marketers and brand leaders are in an improved position to develop strategies that appeal to targeted customers, ultimately growing and strengthening their brand value.

Supported by the anthropological view of brand tribalism, this paper contributes to the branding literature by examining the indirect effect of brand tribalism on purchase intention via brand pride and brand attitude. The posited model, previously untested and replicated here across two ethnically diverse samples, shows more explanatory power for defense of the tribal brand on brand pride as compared to the other brand tribalism dimensions. A novel and valid, multi-item brand pride measure is also developed.

Academic libraries continue to invest in eBooks to ensure access to content in various formats. This paper aims to examine eBook acquisition models, including patron-driven acquisitions, one-time purchases, focused collection subscriptions or large-scale subscriptions, to better understand how users engage with this content based on usage data.

Usage data provide insights into eBook acquisition and how access models influence use. This study defines the acquisition model for each eBook purchase. Data were examined to determine usage by acquisition model and cost-per-use.

This paper finds that for a large suburban community college, a large-scale subscription model has the lowest cost-per-use and serves the largest portion of students. Focused collection subscriptions supported small, specialized programs in the Allied Health, Emergency Services, and Nursing fields.

This paper examines how eBooks are acquired to determine which model best serves an academic library community, specifically a community college library, which is currently underrepresented in the literature.

This study reports on the effect of demand variation on the optimal location of road-pricing cordons. The optimal road-pricing cordon, in this study, aims to maximise the social welfare function. This optimisation program is categorised as Bi-level optimisation programming which is a NP hard problem. The paper first describes the method developed to solve the optimal toll problem for a given set of chargeable links. The tests were carried out with a small toy network and a larger scale network. For the small network, four single user class demand characteristics were varied individually; these were the elasticity of trip generation with respect to increases in travel cost, value of travel time, volume of traffic, and traffic distribution pattern. For the larger scale network, only elasticity, value of time, and trip volume were tested. The results of the larger scale network are also analysed by including the cost per toll point. The tests with the larger scale network were modified so that the constraint of uniform charge is applied. The results showed that demand variation could influence the best location of toll points. This finding raises the question of whether the implementation of the same cordon all day in an urban traffic network is the optimal approach under the existence of demand variations by time of day, and also whether the evaluation process of the cordon location should consider the effect of different time periods together.