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Purpose – This chapter presents a framework useful in conducting multicountry marketing and advertising research. For the purpose of illustrating the series of steps involved in conducting such investigations, a six-country study examining global consumer culture positioning (GCCP) is presented. The suggested steps are relevant for the exploration of a wide variety of marketing- and advertising-related topics.

Methodology/approach – Steps essential to a well-planned research design are addressed in detail, including: theory identification, stimuli selection, hypotheses formulation, measurement development, country selection, fictitious ad development, survey design, cross-national data equivalence, and hypotheses testing. Particular attention is given to construct specification (in this case for soft-sell and hard-sell advertising appeals) and fictitious ad development. General consumers in six countries responded to the ads. Specific procedures for validating formative constructs and testing their cross-country equivalency are suggested.

Findings – The chapter provides practical recommendations for conducting cross-cultural research. These recommendations are likely to prove useful to both researchers conducting multicountry investigations, and to instructors teaching graduate-level courses in international marketing and advertising research.

Originality/value of paper – Multicountry research requires a series of challenging decisions. Although a well-planned research design is particularly essential in a cross-cultural setting, little attention has been given in providing researchers and instructors with methodological recommendations. This chapter is intended to be a useful reference for these audiences.

In observational data, access to information is associated with lower levels of corruption. This chapter reviews a small but growing body of work that uses field experiments to explore the mechanisms behind this relationship. We present a typology for understanding this research based on the type of corruption being addressed (political vs. bureaucratic), the mechanism for accountability (retrospective vs. prospective), and the nature of the information provided (factual vs. prescriptive). We describe some of the tradeoffs involved in design decisions for such experiments and suggest directions for future research.

The chapter discusses online branding in the business-to-business domain and the benefits it offers to B2B actors. Online branding is a tool to interact and communicate with existing and potential customers. The authors also present content marketing as a marketing effort available to B2B marketers, as well as the nature of digital relationships in social media. The reader learns the importance of branding the company through digital channels and those benefits that can be reached through such actions. The digital tools presented in the chapter relate to social media, for example, Twitter, Facebook, LinkedIn, YouTube, blogs, search engine optimization, and paid advertising. These tools are discussed in detail, both related to their benefits and pitfalls.

The Royal African Company, the Hudson’s Bay Company, and the East India Company used both owned and hired ships in their seventeenth and eighteenth century trading operations. Why such critical assets were sometimes owned and sometimes rented is explored. Contrary to economic reasoning, ship rentals occurred in shipping markets that were uncompetitive. The use of hired ships was correlated instead to market power in the companies’ selling or output markets. The pattern of ship ownership can be attributed to the close social proximity of shipowners to decision-makers in the companies. By modeling the input hiring decision while allowing for variation in the competitiveness of output markets, it is argued that rent-seeking behavior on the part of company insiders may explain the ownership patterns.

To facilitate teacher–researcher collaboration in order to implement an informational writing research project using the framework of Browse, Collect, Collate, and Compose embedded within the writing workshop.

This study was conducted using a qualitative (Merriam, 1998) method of inquiry, more specifically, case study research design. A researcher and a practitioner came together to explore problems related to authentic use of expository genre and collaborated to help fourth graders write informational books.

The development of an authentic informational book was in contrast to the inauthentic purposes whereby students studied expository writing as preparation for statewide testing of student writing achievement. The study advocates the usage of authentic literacy contexts where students can enjoy writing for personal purposes.

Collaboration between classroom teachers of writing and researchers contributes to the theoretical and practical knowledge base of the teacher and researcher. Overall literacy development is enhanced when students read and write out of their own interest. Students use trade books as mentor texts to compose and create their informational books. The value of seeing fourth graders as researchers and making an informational book serves the authentic purpose of writing.

Social media platforms are increasingly receiving attention as legitimate locations for civil society discourse and social movement mobilization. Initial work by Lovejoy and Saxton suggests NGOs use digital platforms such as Twitter to engage their constituencies through information dissemination, community building, and mobilization to action. Here, we explore the applicability of Lovejoy and Saxton’s communicative functions framework to resistance movement behavior by exploring two examples of digital engagement in political conflict. Through content analysis of tweets using hashtag indicators #BDS and #ICC4Israel collected during the spring of 2015, we affirm Lovejoy and Saxton’s findings that information dissemination is the most prevalent communication function for grassroots and institutionally grounded movements. Further, we find that informational tweets in our sample often provide information about grievances, and therefore propose an expansion of the framework to accommodate tweets that may be more common in resistance movements than in NGO communication. In addition to general findings about the communicative functions framework, the content analysis yielded several findings specific to the resistance movements studied. Notably, we find that #BDS and #ICC4Israel tweets are overwhelmingly nonviolent, and that sentiment is generally favorable across both hashtags, with the exception of tweets focusing on academic boycott, which were more ambiguous.

This chapter examines the processes by which a group's racial composition affects its performance and the social-cognitive tendencies of its individual members. Drawing on published and unpublished experiments regarding group composition and interracial interaction, this review demonstrates that the information exchange perspective on diversity – in which demographic heterogeneity is expected to translate into informational heterogeneity – is more complicated than some have suggested, and is not wholly responsible for the positive performance effects of racial diversity. Indeed, many of the benefits of diversity can be attributed to the impact of heterogeneous settings on White individuals, as well as to motivational and other non-informational processes.

Digital business models are often designed for rapid growth, and some relatively young companies have indeed achieved global scale. However, despite the visibility and importance of this phenomenon, analysis of scale and scalability remains underdeveloped in management literature. When it is addressed, analysis of this phenomenon is often over-influenced by arguments about economies of scale in production and distribution. To redress this omission, this paper draws on economic, organization, and technology management literature to provide a detailed examination of the sources of scaling in digital businesses. We propose three mechanisms by which digital business models attempt to gain scale: engaging both non-paying users and paying customers; organizing customer engagement to allow self-customization; and orchestrating networked value chains, such as platforms or multi-sided business models. Scaling conditions are discussed, and propositions developed and illustrated with examples of big data entrepreneurial firms.