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Murat M. Tunc

@muratmtunc.bsky.social

24 followers 45 following 27 posts

Assistant Professor of Information Systems @Tilburg PhD '20 @UTDallas Research on FinTech, Open Source Software, and AI

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Reposted by Murat M. Tunc

David Schindler @david-schindler.de · Jul 29

By all indications, last years economics job market was much tougher than any year since the pandemic. But all signs point towards an even worse job market coming up this season.

Let me explain.

David McKenzie @dmckenzie.bsky.social · Jul 28

For those without access, here is a gift link to the NYTimes article on the sad state of the economics job market www.nytimes.com/2025/07/28/b...

The Bull Market for Economists Is Over. It’s an Ominous Sign for the Economy.

www.nytimes.com

Murat M. Tunc @muratmtunc.bsky.social · May 13

Another year, another amazing Workshop on Digital Markets (WDM)!

Thank you to all the presenters, discussants, and committee members for making this workshop thrive once again.

Looking forward to the Tilburg edition next year!

Murat M. Tunc @muratmtunc.bsky.social · May 13

Last (but not least), Sameer Mehta is up on data cooperatives. Access to credit is challenging for marginalized communities in agriculture in the developing world. He proposes a data layer that pools farmers' data to facilitate lending. What amazing work to wrap up the workshop!

Murat M. Tunc @muratmtunc.bsky.social · May 13

Max Pachali is up next on sustainability in e-commerce. Sustainable products are on the rise, as are greenwashing and misleading claims. They investigate the impact of disclosing credible sustainability claims on sales. Super interesting paper!

Murat M. Tunc @muratmtunc.bsky.social · May 13

Gillian Ponte kick-starts the last session on privacy risks from targeting decisions. They propose targeting strategies that satisfy differential privacy and protect privacy risk. The later the differential privacy is applied in targeting, the higher the profits. Amazing work!

Murat M. Tunc @muratmtunc.bsky.social · May 13

Danial Hayati closes the morning session on augmented reality. They show that AR reduces perceived fit uncertainty, thus could reduce product returns, but can also cause misleading information due to technological constraints. Nicely conducted experiments and moderation analyses!

Murat M. Tunc @muratmtunc.bsky.social · May 13

Maximilian Kaiser is next on product embeddings for new product sales prediction. He shows that their method performs better, relies on fewer assumptions about important product attributes and requires less data collection effort, hence it's highly scalable. Super cool method!

Murat M. Tunc @muratmtunc.bsky.social · May 13

Day 2 starts with Simon Schulten on print flyers. They examine the impact of switching from print store flyers to digital ads on revenue and visits through a randomized controlled trial with a large retailer. Turns out the print flyers work better. Very convincing evidence!

Murat M. Tunc @muratmtunc.bsky.social · May 12

We wrap up today with Joey van Angeren @JoeyVanAngeren on gig economy. Leveraging a natural experiment, they find that a personal phone call with a platform representative increases the number of jobs and revenue for workers. Great paper to wrap up the day and see you tomorrow!

Murat M. Tunc @muratmtunc.bsky.social · May 12

Next is Anna Baturevich on digital platforms. Through a choice-based conjoint experiment on Prolific (meta alert: studying platforms within a platform), the authors examine the decision-making process for joining digital health platforms. Super cool project!

Murat M. Tunc @muratmtunc.bsky.social · May 12

Today's last session starts with Joram de Vreede. He presents a transformer-based machine learning architecture optimized for multi-touch conversion attribution in online digital campaigns, with a feed-forward attention mechanism. Very rigorous work.

Murat M. Tunc @muratmtunc.bsky.social · May 12

Xi Wu is up next on data breaches. Following a breach, firms cut back on data collection to reduce risk, but face pressure to improve services. Examining mobile app markets, they find that firms increase security investment but maintain data collection. Super interesting project!

Murat M. Tunc @muratmtunc.bsky.social · May 12

After lunch, we are back with Marilù Miotto on a timely topic: Deepfakes. Her study dives deep into how deepfakes affect news credibility and sharing. Findings reveal that labeling content as deepfake can reduce the credibility of non-labeled content. Very cool work!

Murat M. Tunc @muratmtunc.bsky.social · May 12

Before lunch, Arda Guler (from Goethe Frankfurt, not from Real Madrid) closes the session with personalized mobile push notifications. In a collaboration with industry partner Payback, they find that causal targeting can improve the effectiveness of mobile push notifications.

Murat M. Tunc @muratmtunc.bsky.social · May 12

Next, David Kusterer @davidkstrr.bsky.social presents his work on fake reviews. Leveraging a lab experiment, they design a feedback system with reduced incentives for sellers to buy fake reviews. Spoiler alert: Displaying all ratings and inspection seem to reduce fake reviews. Cool project!

Murat M. Tunc @muratmtunc.bsky.social · May 12

Sijia (Catherine) Ma is up next, presenting her recent work on the impact of image-generating AI on artistic productivity and market diversity. They find that although individual productivity increases, the overall market becomes more similar. Interesting paper!

Murat M. Tunc @muratmtunc.bsky.social · May 12

Lachlan Deer @lachlandeer.bsky.social closes the morning session with a structural model that quantifies online word-of-mouth to see how large an effect social media has on new movies. Turns out the impact of social media on demand is smaller than currently perceived. Super promising project!

Murat M. Tunc @muratmtunc.bsky.social · May 12

Next up is Isin Acun, on Digital Services Taxes recently introduced in Europe. Some "Big Tech" companies absorbed this tax internally, while others passed it through to advertisers. The authors investigate how advertisers strategically respond. Really interesting work.

Murat M. Tunc @muratmtunc.bsky.social · May 12

We start with Martina Pocchiari @martinapocchiari.com
, on online review updating. Leveraging a field experiment from PissedConsumer (seriously), they aim to answer when to ask for an update: Early to increase the likelihood, or late to benefit from “time is an ultimate healer". Cool project!

Murat M. Tunc @muratmtunc.bsky.social · May 12

Workshop on Digital Markets (WDM) 2025 is happening today and tomorrow, proudly presented to you by Tilburg & Erasmus University's Marketing and IS groups. I will be live-tweeting the amazing line-up of speakers and really cool discussants and participants. #WDM25

Murat M. Tunc @muratmtunc.bsky.social · Feb 17

Our research on resale royalties in NFT marketplaces, recently published in ISR, was featured as a top story in Emerce @emerce.bsky.social! Great to see our paper receiving media attention and reaching broader audiences. Feel free to check out our paper here: pubsonline.informs.org/doi/10.1287/...

Murat M. Tunc @muratmtunc.bsky.social · Dec 19

I sincerely thank the editors, Kenneth Cheng and Tianshu Sun, for their valuable comments, and my co-authors Hasan Cavusoglu and Zhiqiang (Eric) Zheng.

Feel free to share with anyone who might be interested in NFTs, digital art, and creator economy! 7/n

Murat M. Tunc @muratmtunc.bsky.social · Dec 19

Our underlying mechanism analyses point to overconfidence effects among creators (i.e., those who had successful past sales and more followers) as the primary reason why prices are lower, and a partial ownership effect that drives buyers away from purchasing high-royalty NFTs. 6/n

Murat M. Tunc @muratmtunc.bsky.social · Dec 19

(3) Even more interestingly, higher royalty rates decrease market liquidity and increase time-to-sale despite low prices. All in all, our paper challenges the conventional wisdom that resale royalties benefit creators. Why does this happen? 5/n

Murat M. Tunc @muratmtunc.bsky.social · Dec 19

Our findings reveal some surprising insights: (1) NFT creators tend to reduce primary sale prices with higher royalty rates, hoping for future royalty income. (2) However, these lower initial prices aren't offset by royalty payments within 4 years. 4/n