Despite widespread recognition of a research-practice gap in multiple service sectors, less is known about how pre-existing communication channels facilitate the flow of information between researchers and practitioners. In the current study, we applied an existing typology of brokerage developed by Gould and Fernandez (Sociol Methodol 19:89-126, 1989) to examine what types of brokerage facilitate information spread between researchers and educational practitioners. Specifically, we conducted semi-structured interviews with 19 school administrators and staff in two public school districts regarding their experiences searching for information about instructional, health, and social skills programs. Using deductive content analysis, we found evidence of all five types of brokerage identified by Gould and Fernandez (1989). However, only three types of brokerage-gatekeepers, representatives, and liaisons-were involved in the flow of information between school administrators and researchers. Moreover, information transfer often occurred in longer chains that involved multiple, distinct types of brokerage. We conclude with the broad implications of our findings for narrowing the research-practice gap by improving researchers' dissemination efforts and practitioners' search for information.

This paper reports on a study which explored the customer perspective on their roles in SST encounters in a tourism context, through the theoretical lens of service-dominant logic. The study employed short qualitative interviews with airline passengers at an international airport.The findings suggest that customers can assume six roles in an SST encounter which can be viewed as either positive or negative in terms of value creation. Therefore, a key contribution of this paper is the development of a role-experience continuum which depicts the variations in customer experiences of value creation in a tourism context.

Online survey research has significantly increased in popularity in recent years. With its use, researchers have a new set of concerns about data collection and analysis to consider, including the possibility of fraudulent survey submissions. The purpose of this article is to demonstrate to survey researchers an innovative and systematized process for addressing online survey fraud over the course of collecting survey data, especially when respondents collect incentives for participation. We provide the Reflect, Expect, Analyze, Label Framework, which includes four sets of guiding questions for use by online survey researchers to plan for addressing survey fraud and making determinations about the inclusion or exclusion of participant submissions from the dataset based on level of suspicion. We also provide a full case example utilizing the Reflect, Expect, Analyze, Label Framework as an appendix. Those wanting to apply the Reflect, Expect, Analyze, Label Framework should keep in mind several considerations as they apply it, including determining logistical needs ahead of survey implementation, considering the ethical issues related to including or excluding data in a study, and considering the issues related to providing incentives for participating in research. Future research should assess the frequency of survey fraud, investigate the reasons for its occurrence and explore the role social networks may play in fraudulent participants sharing information. We suggest that researchers consider online survey fraud as an issue over the lifespan of their survey and apply the guiding questions we present to address the issue throughout.

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Addressing complex problems in communities has become a key area of focus in recent years (Kania & Kramer, 2013, Stanford Social Innovation Review). Building on existing approaches to understanding and addressing problems, such as action research, several new approaches have emerged that shift the way communities solve problems (e.g., Burns, 2007, Systemic Action Research; Foth, 2006, Action Research, 4, 205; Kania & Kramer, 2011, Stanford Social Innovation Review, 1, 36). Seeking to bring clarity to the emerging literature on community change strategies, this article identifies the common features of the most widespread community change strategies and explores the conditions under which such strategies have the potential to be effective. We identify and describe five common features among the approaches to change. Then, using an agent-based model, we simulate network-building behavior among stakeholders participating in community change efforts using these approaches. We find that the emergent stakeholder networks are efficient when the processes are implemented under ideal conditions.