<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="https://podcast.aalto.fi/tuta-audiobooks/wp-content/plugins/seriously-simple-podcasting/templates/feed-stylesheet.xsl"?><rss version="2.0"
	 xmlns:content="http://purl.org/rss/1.0/modules/content/"
	 xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	 xmlns:dc="http://purl.org/dc/elements/1.1/"
	 xmlns:atom="http://www.w3.org/2005/Atom"
	 xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	 xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	 xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd"
	 xmlns:googleplay="http://www.google.com/schemas/play-podcasts/1.0"
	 xmlns:podcast="https://podcastindex.org/namespace/1.0"
	>
		<channel>
		<title>Tuta Audiobooks</title>
		<atom:link href="https://podcast.aalto.fi/tuta-audiobooks/feed/podcast/" rel="self" type="application/rss+xml"/>
		<link>https://podcast.aalto.fi/tuta-audiobooks/</link>
		<description>Tuta Audiobooks from the Department of Industrial Engineering &amp; Management from Aalto University. The audiobooks are created with artificial intelligence text to speech tools. The creation of the first TUTA AI audiobook was conducted as an auto-ethnographic study project during the summer 2023.</description>
		<lastBuildDate>Mon, 18 Sep 2023 08:00:18 +0000</lastBuildDate>
		<language>en-US</language>
		<copyright>© 2020 Default Podcast Template</copyright>
		<itunes:subtitle>at Aalto University</itunes:subtitle>
		<itunes:author>Default Podcast Template</itunes:author>
		<itunes:summary>Tuta Audiobooks from the Department of Industrial Engineering &amp; Management from Aalto University. The audiobooks are created with artificial intelligence text to speech tools. The creation of the first TUTA AI audiobook was conducted as an auto-ethnographic study project during the summer 2023.</itunes:summary>
		<itunes:owner>
			<itunes:name>Default Podcast Template</itunes:name>
			<itunes:email>jon.fabritius@aalto.fi</itunes:email>
		</itunes:owner>
		<itunes:explicit>false</itunes:explicit>
		<itunes:image href="https://podcast.aalto.fi/tuta-audiobooks/wp-content/uploads/2020/11/Default-Cover-Image.png"></itunes:image>
			<image>
				<url>https://podcast.aalto.fi/tuta-audiobooks/wp-content/uploads/2020/11/Default-Cover-Image.png</url>
				<title>Tuta Audiobooks</title>
				<link>https://podcast.aalto.fi/tuta-audiobooks/</link>
			</image>
		<itunes:category text="Education">
		</itunes:category>
		<itunes:category text="Business">
							</itunes:category>
		<itunes:category text="Technology">
							</itunes:category>
		<podcast:guid>728cf691-eec3-518b-9e54-a81de9cad8b6</podcast:guid>
		
		<!-- podcast_generator="SSP by Castos/2.24.0" Seriously Simple Podcasting plugin for WordPress (https://wordpress.org/plugins/seriously-simple-podcasting/) -->
		<generator>https://wordpress.org/?v=6.3.8</generator>

<item>
	<title>Article Introduction &#8211; Beyond AI, Blockchain Systems, and Digital Platforms: Digitalization Unlocks Mass Hyper Personalization and Mass Servitization</title>
	<link>https://podcast.aalto.fi/tuta-audiobooks/podcast/jakso-1-on-tama/</link>
	<pubDate>Tue, 12 Sep 2023 09:00:00 +0000</pubDate>
	<dc:creator><![CDATA[Default Podcast Template]]></dc:creator>
	<guid isPermaLink="false">https://podcast.aalto.fi/tuta-audiobooks/?post_type=podcast&#038;p=77</guid>
	<description><![CDATA[The ever-progressing digitalization of the economy and society is unlocking new opportunities for organizations engaging in services. We are in the middle of a transformation of the service sector that can be likened to the advent of mass production in the 1940s. Based on recent advances and developments in artificial intelligence, digital platforms, and blockchain [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[The ever-progressing digitalization of the economy and society is unlocking new opportunities for organizations engaging in services. We are in the middle of a transformation of the service sector that can be likened to the advent of mass production in t]]></itunes:subtitle>
	<content:encoded><![CDATA[The ever-progressing digitalization of the economy and society is unlocking new opportunities for organizations engaging in services. We are in the middle of a transformation of the service sector that can be likened to the advent of mass production in the 1940s. Based on recent advances and developments in artificial intelligence, digital platforms, and blockchain [&#8230;]]]></content:encoded>
	<enclosure url="https://podcast.aalto.fi/tuta-audiobooks/podcast-download/77/jakso-1-on-tama.mp3" length="38405639" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[The ever-progressing digitalization of the economy and society is unlocking new opportunities for organizations engaging in services. We are in the middle of a transformation of the service sector that can be likened to the advent of mass production in the 1940s. Based on recent advances and developments in artificial intelligence, digital platforms, and blockchain [&#8230;]]]></itunes:summary>
	<itunes:image href="https://podcast.aalto.fi/tuta-audiobooks/wp-content/uploads/2023/09/robot-narrator.jpg"></itunes:image>
	<image>
		<url>https://podcast.aalto.fi/tuta-audiobooks/wp-content/uploads/2023/09/robot-narrator.jpg</url>
		<title>Article Introduction &#8211; Beyond AI, Blockchain Systems, and Digital Platforms: Digitalization Unlocks Mass Hyper Personalization and Mass Servitization</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>1:02:37</itunes:duration>
	<itunes:author><![CDATA[Default Podcast Template]]></itunes:author>	<googleplay:description><![CDATA[The ever-progressing digitalization of the economy and society is unlocking new opportunities for organizations engaging in services. We are in the middle of a transformation of the service sector that can be likened to the advent of mass production in the 1940s. Based on recent advances and developments in artificial intelligence, digital platforms, and blockchain [&#8230;]]]></googleplay:description>
	<googleplay:image href="https://podcast.aalto.fi/tuta-audiobooks/wp-content/uploads/2023/09/robot-narrator.jpg"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>Article One &#8211; Estimating Firm Digitalization: A Method for Disaggregating Sector-level Digital Intensity to Firm-level</title>
	<link>https://podcast.aalto.fi/tuta-audiobooks/podcast/chapter-2-ai-diffusion-monitoring-among-sp500-companies-empirical-results-and-methodological-advancements/</link>
	<pubDate>Tue, 12 Sep 2023 08:30:00 +0000</pubDate>
	<dc:creator><![CDATA[Default Podcast Template]]></dc:creator>
	<guid isPermaLink="false">https://podcast.aalto.fi/tuta-audiobooks/?post_type=podcast&#038;p=88</guid>
	<description><![CDATA[The digital transformation of firms plays an increasingly important role in the economy and society. However, limited access to data on firm-level digital intensity is an impediment to advancement of multiple research projects concerned with firm digitalization. To alleviate this challenge, this paper proposes a method for estimating firm-level digital intensity based on other more [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[The digital transformation of firms plays an increasingly important role in the economy and society. However, limited access to data on firm-level digital intensity is an impediment to advancement of multiple research projects concerned with firm digital]]></itunes:subtitle>
	<content:encoded><![CDATA[The digital transformation of firms plays an increasingly important role in the economy and society. However, limited access to data on firm-level digital intensity is an impediment to advancement of multiple research projects concerned with firm digitalization. To alleviate this challenge, this paper proposes a method for estimating firm-level digital intensity based on other more [&#8230;]]]></content:encoded>
	<enclosure url="https://podcast.aalto.fi/tuta-audiobooks/podcast-download/88/chapter-2-ai-diffusion-monitoring-among-sp500-companies-empirical-results-and-methodological-advancements.mp3" length="42561080" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[The digital transformation of firms plays an increasingly important role in the economy and society. However, limited access to data on firm-level digital intensity is an impediment to advancement of multiple research projects concerned with firm digitalization. To alleviate this challenge, this paper proposes a method for estimating firm-level digital intensity based on other more [&#8230;]]]></itunes:summary>
	<itunes:image href="https://podcast.aalto.fi/tuta-audiobooks/wp-content/uploads/2023/09/robot-narrator.jpg"></itunes:image>
	<image>
		<url>https://podcast.aalto.fi/tuta-audiobooks/wp-content/uploads/2023/09/robot-narrator.jpg</url>
		<title>Article One &#8211; Estimating Firm Digitalization: A Method for Disaggregating Sector-level Digital Intensity to Firm-level</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>55:57</itunes:duration>
	<itunes:author><![CDATA[Default Podcast Template]]></itunes:author>	<googleplay:description><![CDATA[The digital transformation of firms plays an increasingly important role in the economy and society. However, limited access to data on firm-level digital intensity is an impediment to advancement of multiple research projects concerned with firm digitalization. To alleviate this challenge, this paper proposes a method for estimating firm-level digital intensity based on other more [&#8230;]]]></googleplay:description>
	<googleplay:image href="https://podcast.aalto.fi/tuta-audiobooks/wp-content/uploads/2023/09/robot-narrator.jpg"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>Article Two &#8211; AI Diffusion Monitoring among S&#038;P500 Companies: Empirical Results and Methodoligical Advancements</title>
	<link>https://podcast.aalto.fi/tuta-audiobooks/podcast/chapter-two-ai-diffusion-monitoring-among-sp500-companies-empirical-results-and-methodoligical-advancements/</link>
	<pubDate>Tue, 12 Sep 2023 08:00:00 +0000</pubDate>
	<dc:creator><![CDATA[Default Podcast Template]]></dc:creator>
	<guid isPermaLink="false">https://podcast.aalto.fi/tuta-audiobooks/?post_type=podcast&#038;p=84</guid>
	<description><![CDATA[The digital transformation of firms plays an increasingly important role in the economy and society. However, limited access to data on firm-level digital intensity is an impediment to advancement of multiple research projects concerned with firm digitalization. To alleviate this challenge, this paper proposes a method for estimating firm-level digital intensity based on other more [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[The digital transformation of firms plays an increasingly important role in the economy and society. However, limited access to data on firm-level digital intensity is an impediment to advancement of multiple research projects concerned with firm digital]]></itunes:subtitle>
	<content:encoded><![CDATA[The digital transformation of firms plays an increasingly important role in the economy and society. However, limited access to data on firm-level digital intensity is an impediment to advancement of multiple research projects concerned with firm digitalization. To alleviate this challenge, this paper proposes a method for estimating firm-level digital intensity based on other more [&#8230;]]]></content:encoded>
	<enclosure url="https://podcast.aalto.fi/tuta-audiobooks/podcast-download/84/chapter-two-ai-diffusion-monitoring-among-sp500-companies-empirical-results-and-methodoligical-advancements.mp3" length="70502273" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[The digital transformation of firms plays an increasingly important role in the economy and society. However, limited access to data on firm-level digital intensity is an impediment to advancement of multiple research projects concerned with firm digitalization. To alleviate this challenge, this paper proposes a method for estimating firm-level digital intensity based on other more [&#8230;]]]></itunes:summary>
	<itunes:image href="https://podcast.aalto.fi/tuta-audiobooks/wp-content/uploads/2023/09/robot-narrator.jpg"></itunes:image>
	<image>
		<url>https://podcast.aalto.fi/tuta-audiobooks/wp-content/uploads/2023/09/robot-narrator.jpg</url>
		<title>Article Two &#8211; AI Diffusion Monitoring among S&#038;P500 Companies: Empirical Results and Methodoligical Advancements</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>1:32:05</itunes:duration>
	<itunes:author><![CDATA[Default Podcast Template]]></itunes:author>	<googleplay:description><![CDATA[The digital transformation of firms plays an increasingly important role in the economy and society. However, limited access to data on firm-level digital intensity is an impediment to advancement of multiple research projects concerned with firm digitalization. To alleviate this challenge, this paper proposes a method for estimating firm-level digital intensity based on other more [&#8230;]]]></googleplay:description>
	<googleplay:image href="https://podcast.aalto.fi/tuta-audiobooks/wp-content/uploads/2023/09/robot-narrator.jpg"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>Article Three &#8211; What Have We Learned About Machine Learning? A Meta Analysis</title>
	<link>https://podcast.aalto.fi/tuta-audiobooks/podcast/chapter-3-what-have-we-learned-about-machine-learning-a-meta-analysis/</link>
	<pubDate>Tue, 12 Sep 2023 07:30:00 +0000</pubDate>
	<dc:creator><![CDATA[Default Podcast Template]]></dc:creator>
	<guid isPermaLink="false">https://podcast.aalto.fi/tuta-audiobooks/?post_type=podcast&#038;p=90</guid>
	<description><![CDATA[Recent advances in machine learning (ML) have triggered many firms to try putting the technology into commercial use. However, the creation of ML-based organizational capabilities remains a major challenge. With the aim of extending our understanding of organizational capabilities, this paper takes a socio-technical system perspective on the microfoundations of capabilities, develops an integrative conceptual [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[Recent advances in machine learning (ML) have triggered many firms to try putting the technology into commercial use. However, the creation of ML-based organizational capabilities remains a major challenge. With the aim of extending our understanding of ]]></itunes:subtitle>
	<content:encoded><![CDATA[Recent advances in machine learning (ML) have triggered many firms to try putting the technology into commercial use. However, the creation of ML-based organizational capabilities remains a major challenge. With the aim of extending our understanding of organizational capabilities, this paper takes a socio-technical system perspective on the microfoundations of capabilities, develops an integrative conceptual [&#8230;]]]></content:encoded>
	<enclosure url="https://podcast.aalto.fi/tuta-audiobooks/podcast-download/90/chapter-3-what-have-we-learned-about-machine-learning-a-meta-analysis.mp3" length="39889284" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[Recent advances in machine learning (ML) have triggered many firms to try putting the technology into commercial use. However, the creation of ML-based organizational capabilities remains a major challenge. With the aim of extending our understanding of organizational capabilities, this paper takes a socio-technical system perspective on the microfoundations of capabilities, develops an integrative conceptual [&#8230;]]]></itunes:summary>
	<itunes:image href="https://podcast.aalto.fi/tuta-audiobooks/wp-content/uploads/2023/09/robot-narrator.jpg"></itunes:image>
	<image>
		<url>https://podcast.aalto.fi/tuta-audiobooks/wp-content/uploads/2023/09/robot-narrator.jpg</url>
		<title>Article Three &#8211; What Have We Learned About Machine Learning? A Meta Analysis</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>56:37</itunes:duration>
	<itunes:author><![CDATA[Default Podcast Template]]></itunes:author>	<googleplay:description><![CDATA[Recent advances in machine learning (ML) have triggered many firms to try putting the technology into commercial use. However, the creation of ML-based organizational capabilities remains a major challenge. With the aim of extending our understanding of organizational capabilities, this paper takes a socio-technical system perspective on the microfoundations of capabilities, develops an integrative conceptual [&#8230;]]]></googleplay:description>
	<googleplay:image href="https://podcast.aalto.fi/tuta-audiobooks/wp-content/uploads/2023/09/robot-narrator.jpg"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>
	</channel>
</rss>
