CSR (corporate social responsibility)

The Great Resignation in the Advertising/Research Industries Part 2 – Is It Over?

For this event, the Organizational Working Group within the Analytics Council conducted a follow-up survey to its May survey on the Great Resignation.  Once again, the Working Group partnered with Dynata on this survey. For this round, questions were added on job satisfaction, return to office, company culture, and the role of corporate social responsibility. Steve Millman of Dynata, who chairs the Working Group, reported on the results at this event.  Michael Butts, CEO of executive recruiting firm Burtch Works, also reported on surveys of its database of analytics and insights professionals.  The presentations were followed by a discussion on workplace trends and issues in our industries with Millman, Butts, and three other executives on the front lines of recruitment and talent management in advertising and research:

  • Renee Cassard, Chief Research Officer at Omnicom Media Group
  • Liz Osterhus, President, Chief Human Resources Officer at Ipsos, NA
  • Will Poindexter, Senior Partner & Enterprise Technology Practice Leader at Bain & Company.

The discussion was moderated by the ARF’s Chief Research Officer, Paul Donato. Millman’s presentation compared the respondents who said that they worked in advertising, advertising technology, media, or market research (“Our industries”) to those employed in other industries (“Industries”). The answer to the question posed in the title is undeniably “Yes” for both those in our industry and outside, according to just about every measure collected in the survey.  However, substantially more employees in our industries reported being contacted for recruiting efforts than others. They also tended to be more responsive to such efforts.  See below for more details on the survey results and subsequent conversation.

E, S, or G? Which Matters Most to Consumers and Institutional Investors?

When firms communicate about their environmental, social and governance (ESG) activities, they should consider not only what matters most to which stakeholders, but what results make the most impact with which stakeholders as well. While consumers prefer to invest in brands perceived positively on environmental and social issues, institutional investors focus less on these aspects and far more on governance.

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Consumer Ambassadors Promote Prosocial Behavior for Themselves & Others

Using consumers as “ambassadors” has many benefits, research has shown. They can help organizations promote their prosocial messages about the environment and other issues and might even become the impetus behind positive behaviors across social networks. However, the greatest impact and the most persistent one, may be on the ambassador themselves, especially those who were less than environmentally conscious at the outset.

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Making Inclusive Advertising Effective

Ads that highlight under-represented groups and their experiences can have broad appeal and be highly effective. However, they can backfire – even among the group the ad is focused on – if they fall into the “sadness trap”. 

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CultureConnect Podcast Series: Episode #4: Contending with Algorithmic Bias

May 5, 2022 — Episode #4: Contending with Algorithmic Bias, a conversation with, Janelle James, SVP, Ipsos IUU (Council Co-Chair), Kalinda Ukanwa, Assistant Professor of Marketing at USC’s Marshall School of Business. Amanda Bower, Machine Learning Researcher at Twitter. Hui Wang, VP/Director of Global Data Intelligence – Analytics Service, at Publicis Media. Kathy Sheehan, Senior Vice President at Cassandra. Ilinca Barsan, Data Science Director at Wunderman Thompson.

We’re increasingly dependent on algorithms in a variety of areas. This has led to problems with algorithmic bias, in which statistical and econometric models or a programmed set of instructions systematically treats members of some groups differently than others. This can be due to the unconscious biases of engineers who build the models, biases in the data they are trained on, biases inherent in the models themselves or algorithms’ treatment of human attributes as single, isolated components rather than intersectional identities. We look at the ways in which models, programs, and algorithms in the media, marketing, and advertising industries can unintentionally favor majority populations and ignore or even discriminate against minority segments and how to overcome this problem.

CultureConnect Podcast Series: Episode #5: Contending with Algorithmic Bias pt 2

June 17, 2022 — Episode #5: Contending with Algorithmic Bias pt 2 , A conversation with, Kalinda Ukanwa, an Assistant Professor of Marketing at USC’s Marshall School of Business. Amanda Bower, a machine learning researcher at Twitter.

Technology is an essential part of our everyday life. We rely on it to help us navigate our finance, employment, housing, health care and purchases, among other things. But, perhaps unknowingly, we may be impacted by algorithmic bias, in which systematic repeatable errors in AI treat members of some groups differently than others. In part two of our look at algorithmic bias, we delve further into what consumers and companies can do about it.

New Lenses on Brand Identity

  • Summary by Hannah Stone (Verizon), Young Pros Officer
  • COGNITION COUNCIL

This ARF Cognition Council event explored how brands can improve consumers’ perceptions of their pro-social messaging based on insights from fresh analyses of data from a variety of sources. Experts from Ipsos, Dartmouth College and Research Measurement Technologies shed light on a diverse range of research on ways that brands can convey pro-social messages in their advertising.

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Emmy Nominations for Commercials

A pair of comedic Apple ads and two anti-gun violence messages earned four of the six Outstanding Commercial Emmy nominations from the Academy of Television Arts and Sciences. The winner be announced during the awards ceremony on September 12th.

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Neuro Research Insights 2022

The Neuromarketing Science & Business Association (NMSBA) summarizes new learnings from neuroscience-based research in their annual Yearbook. Here are some highlights.
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