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Starbucks To Get Rid Of Plastic Straws By 2020
Starbucks To Get Rid Of Plastic Straws By 2020
Starbucks To Get Rid Of Plastic Straws By 2020
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For Starbucks Corp. , the year 2020 will be the final straw.

The company Monday it plans to eliminate single-use plastic straws from its more than 28,000 coffeehouses globally by the end of the decade. Exchanging them for alternative-material ones and recyclable strawless lids will allow the coffee giant to remove more than 1 billion plastic straws from its locations per year, it said.

A Starbucks strawless lid.

Source: Starbucks

The move comes as plastic waste has come under fire globally, particularly for contributing to ocean pollution and harming birds and sea mammals. Last month, a group of 25 investors managing more than $1 trillion in assets demanded that companies including Nestle SA and PepsiCo Inc. reduce their use of plastic packaging.

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Aakash Sharma Head - Digital Marketing
Aakash Sharma

Head - Digital Marketing, adidas

Coming soon...

Achint Aurora Digital Marketing Leader
Achint Aurora

Digital Marketing Leader, IBM

Achint Aurora is an experienced digital maven with 18 years of diverse experience in Digital Marketing and Transformation Consulting. She is currently working with IBM, as a Digital Marketing Leader, focusing on performance growth marketing, for India South Asia.

Prior to IBM, Achint was working as a Digital Practice Lead at HCL Technologies, with focus on digital transformation projects. She was instrumental in conceptualizing multiple digital innovation workshops, to help identify the digital disruptions and transformation approach, for global clients. She also has worked with renowned agencies like Tribal DDB India, Lintas, Starcom and ibs, implemented digital marketing consumer strategy for 40+ brands, and has quite a few award winning digital stories to her credit. She is also the winner of Aegis Graham Bell Award for 'Innovation in Services to Telcos, 2010'.

Ankit Desai Head Media Digital Marketing
Ankit Desai

Head – Media Digital Marketing – Marico, India

Ankit is a media professional who has worked in various profiles in media across the publisher, media agency, broadcaster the advertiser domains.

He started his career with Dainik Jagran as part of their national sales team. His next job with MindShare Fulcrum gave him exposure to cutting-edge work on media and in-particular digital with HUL’s portfolio of brands, after which he moved to NDTV to be part of the team which launched their general entertainment channel, NDTV Imagine, as part of the Marketing team.

He currently works with Marico Ltd. as Head – Media Digital Marketing, India Global Centre of Excellence with a portfolio spanning markets across the Middle East, Africa Asia regions.

He continues to pursue his passion for learning as a visiting faculty for the Symbiosis Institute of Media Communication.

Ankit has an MBA specializing in Advertising from Symbiosis, Pune.

Ankeeta Deb Digital, Content Direct Marketing
Ankeeta Deb

Digital, Content Direct Marketing, India Lead - Schneider Electric

Ashish Bajaj Media Head
Ashish Bajaj

Media Head, Ola

He is currently with Ola cabs as head of media and Marketing alliances and was previously with Microsoft India. He is a marketing professional with expertise in not only creating consumer facing communication but with complete knowledge of Media and key expertise across consumer understanding, touch point planning and optimization. Aspire to excel and innovate with relevant and delightful solutions, keeping pace with the ever changing consumer needs and behavior.

Every trial began on a blank screen with a central fixation cross. After 1000 ms, the anagram problem appeared and remained on the screen until a response was made, or until the trial timed out after 45 s. Participants were instructed that speed of responding was of utmost importance and were discouraged from verifying their solution prior to response, even if that might elicit the occasional incorrect solution. Participants pressed a button on the response pad in order to respond. The stimulus display then disappeared and participants verbalized their answer to the experimenter, who provided feedback as to whether or not their response was correct.

After every trial, participants were asked to classify their subjective experience of solving the anagram problem. Participants selected one of the following options (from Novick and Sherman, 2003 ) by pressing a corresponding button on the response pad.

“The solution came to mind suddenly, seemingly out of nowhere. I have no awareness of having done anything to try to get the answer.”
“I tried various letter arrangements in order to solve the anagram, but none of them seemed to work. Then the solution came to mind suddenly.”
“I tried various letter arrangements in order to solve the anagram. I was able to build on one of these arrangements to work out the solution step by step.”
“I did not solve the anagram.”

We considered options 1 and 2 to describe subjective experiences of insight, and labeled all trials where participants selected option 1 or 2 as “popout” trials. Option 3 does not describe a subjective experience of insight, so trials where participants selected option 3 were labeled “non-popout” trials. Participants made another button press to advance to the next trial at their own pace.

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Our main focus in this experiment involved examining the effect of central letter string type (word vs. nonword) on mean task performance and eye movement measures. However, we also wanted to ensure that manipulating central letter string type did not alter the nature of the problem solving task as compared to prior findings ( Ellis et al., 2011 ). Accordingly, while we primarily focus on the differences between word and nonword trials, we also examined any interaction between the familiarity of the central letter string and participants’ subjective experience of insight (i.e., trials in which the solution was experienced as emerging suddenly were classified as popout trials, whereas trials in which the solution was experienced as gradual were classified as non-popout trials; see Method section for details). Across participants, 52.7% of trials were correct, 4.2% of trials were incorrect, and 43.1% of trials timed out with no solution. Mean response time for correct trials was 14.3 s (SD = 3.3 s), with 69.0% of correct trials classified by participants as popout, and 31.0% classified as non-popout. The effect of central letter string type on overall problem solving performance is summarized in Table Table1 1 . Importantly, response times were significantly slower for word trials than for nonword trials. In addition, there was a numerical trend toward lower accuracy for word trials than nonword trials, although this difference did not reach significance. Finally, there was no impact of stimulus familiarity on the subjective experience of insight problem solving, as shown by the virtually identical proportion of word trials and nonword trials that were classified as popout.

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