2018 Stakeholder Engagement Standard

The 2018 Stakeholder Engagement Standard is Unison’s definitive guide to helping the world’s largest organizations do the business-critical work of identifying and engaging with their key stakeholders. Based on the culmination of hundreds of interviews constituting years of research with leaders across the C-suite, the SES offers a clear prescription on how corporations find success by connecting with the people most essential to their businesses. Using a combination of interviews, case studies, survey data and more, Unison has identified the insights, processes and technological solutions that leadership can employ to unlock the potential of the people surrounding their organizations. In our seminal research, the world’s largest corporations will find solutions that engage teams across verticals to solve the most pressing existential challenges to their organizations. 

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 [eBook] Making It Your Own

When it comes to engaging stakeholders around social responsibility in the enterprise, every company has a different approach and a different set of guiding principles. However, if teams adopt a structured framework for going about their strategy and programming around corporate responsibility efforts, not only will they drive more social and business impact, but they'll put the pieces in place so that measuring its return on investment truly becomes possible... This eBook draws upon over 40 years of history, literature, and academia to provide an in-depth examination and propose a groundbreaking new philosophy through which to understand the potential of CSR as both an essential part of an organization’s mission and an opportunity to drive bottom-line results.  

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Matching Social Media Populations To RDD-Based Probability Frames

Market researchers and political strategists have long relied on surveys for insights into consumer and political behavior. But can social media data give us information that is equally valid? This study examines social media data in tandem with traditional survey results. Using a Nearest Neighbor approach to create a social sample, we show that pairing survey-respondent data with social media data from those deemed similar to the survey respondents in a statistically significant way, results in a sample representative of populations at large. In so doing, we take a step forward in supporting the use of social media data for research in an economically feasible, statistically reliable and methodologically sound way. 

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