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| experimental | object |
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An academic research project on how manufacturing plants effectively find and implement solutions to reduce toxic waste.<br>
<br>
<strong>Your insights are invaluable to us as a leader directly working with these challenges.</strong> By sharing your experience and expertise, you can contribute to a deeper understanding of how the industry can make meaningful strides toward more environmentally friendly manufacturing practices.<br>
<br>
We adhere to strict data privacy and usage policies (see details below) and your responses will be used solely for research purposes. If you’re interested, there will be the option to receive a summary of the findings at the end of the survey.<br>
<br>************************************************************************************************************* <h2><span style="font-size:26px"><strong>Privacy and Data Usage Notice</strong></span></h2>
Thank you for participating in our survey. This research aims to examine how manufacturing plants effectively find and implement solutions to reduce toxic waste. Your responses will contribute to a better understanding of this critical topic and support advancements in sustainable practices.<br>
<br>
<strong>What information we collect:</strong>
<ul>
<li>Your survey responses</li>
<li>Your email address or unique ID to track responses to share results and follow-ups</li>
</ul>
<br>
<strong>How we use your information:</strong>
<ul>
<li>To analyze aggregate data for scientific purposes focused on the reduction of toxic waste in manufacturing</li>
<li>To follow up with you if clarification or additional input is needed</li>
<li>To ensure that no duplicate responses are submitted</li>
</ul>
<br>
<strong>How we protect your information:</strong>
<ul>
<li>Your data will be stored securely and will only be accessible to the research team.</li>
<li>Your email address or unique ID will not be shared with any third parties or used for purposes other than this research.</li>
</ul>
<br>
<strong>Your rights:</strong>
<ul>
<li>Participation is voluntary, and you may choose not to answer specific questions.</li>
<li>You can withdraw your consent and request deletion of your data at any time by contacting [email protected]</li>
<li>If you are a resident of California, you have the right to request access to or deletion of your personal information in accordance with the California Consumer Privacy Act (CCPA).</li>
</ul>
<br>
By completing this survey, you consent to the collection and use of your information as described above. If you have any questions about this survey or how your data will be used, please contact: <br>
<br>[email protected] (Sustainable Manufacturing Reseach at IE Business School)<br><br>Johanna Glauber, IE Business School<br>
Luca Berchicci, Rotterdam Management School</div></legend><div class="QuestionBody"> <!-- Begin Choices w/o choice groups --> <ul class="ChoiceStructure"> <li class="Selection reg"> <input choiceid="1" aria-labelledby="QID5-1-label" class="radio QR-QID5-1 QWatchTimer" type="radio" name="QR~QID5" id="QR~QID5~1" value="1" data-runtime-checked="runtime.Selected"><label for="QR~QID5~1" class="q-radio" aria-hidden="true" data-runtime-class-q-checked="runtime.Choices.1.Selected"></label> <span class="LabelWrapper"> <label for="QR~QID5~1" id="QID5-1-label" class="SingleAnswer ChoiceTextPositionLeft" data-runtime-class-q-checked="runtime.Choices.1.Selected"><span>I agree.</span></label></span> <div class="clear"></div> </li> </ul> <!-- End Choices w/o choice groups --> <div class="clear zero"></div></div> </fieldset> </div> </div> </div></div>
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