Search results

This paper aims to reinforce the arguments for applying the social support concept in social marketing.

This paper aims to conceptually outline the potential positive contribution of social support for social marketing practice as a tool to induce behavior change.

This paper focuses on the philosophical principle of social exchange, highlights the consumer-centered perspective of social marketing, which implies the natural evaluation of the social networks of influence and support and presents social support as a mechanism to induce long-term behavior change.

No empirical (qualitative or quantitative) investigations were used to test the application of the concept in practical interventions.

This paper provides significant insights for intervention developers that can be used to program and theoretically justify future social marketing interventions applying the social support concept.

Empirical research concluded for a positive relation between social support and human health and well-being. Thus, increasing the use of the concept in social marketing can serve to attain these social goals.

The concept of social support has gained considerable interest in the areas of behavioral medicine and health psychology. Despite such interest, it is still not clear how it can be approached in social marketing as there is a lack of conceptual literature discussing social support from a social marketing perspective, the number of social marketing interventions operationalizing the concept is limited and, till date, no research has focused in comprehensively establishing a theoretical rationale to operationalize the concept in social marketing.

Measuring research’s policy influence is challenging, given the complexity of the policy process, the gradual nature of policy influence, and the time lag between research investment and impact. This paper assesses measurement approaches and discusses their merits and applications to overcome various hurdles.

Relevant articles and studies were selected and analyzed. First, the research-policy interface was revisited to understand their link and how research influences policy making. Second, the most common approaches for measuring policy influence were reviewed based on their features, strengths, and limitations.

The three approaches reviewed — pyramid, influencing, and results chain — have their respective strengths. Thus, research organizations planning to design a program for monitoring and evaluation (M&E) of policy influence have to adopt the best possible features of each approach and develop a customized method depending on their objectives and overall M&E framework.

This paper fosters a deeper understanding of leveraging the three approaches.