DSME 6622: Advanced MIS Research Seminar

Department of Decision Sciences and Managerial Economics

The Chinese University of Hong Kong

Spring, 2020

Instructor: Prof. Michael Zhang

Class Hours: 2:30pm-5:45pm (Tuesdays)

Location: WLT Shaw College (逸夫书院文澜堂LG204)

Office: 918 Cheng Yu Tung Building

Phone: x3-7647

Email: zhang@cuhk.edu.hk

Teaching Assistant: Tao Lu (lutao@link.cuhk.edu.hk)

Course Description

Markets, organizations, and individuals use a wide variety of structures to co-ordinate resource production and allocation. Dramatic changes in information technology (IT) and business activities are forcing firms to come up with new ways of organizing work. Similarly, new types of digital information goods, much lower search costs, innovative ways of doing marketing, management, finance and human resource all lead to the disruption of old business models and creation of new ones.

This course uses economic theory to investigate the roles of information and technology in the existing diversity of organizations and markets and in enabling the creating of new organizational forms.

The class is designed for PhD students in management, economics, information technology, marketing, operations management, organizational behavior and related disciplines. For economists, this class offers the opportunity to apply economic tools to understand how information technology and information in general affect organizations and markets. For non-economists, this class offers an exposure to fundamental ideas in the economics of information, organizations, and markets. This course covers quantitative research methodologies in Economics of IS. It consists of three components: Methodology, Economics of IS Research Topics, and Writing and Publishing. The main goal is to prepare PhD students to produce publication quality research using tools from information economics.

We will cultivate a culture of collaborative learning. In particular, in this seminar class, students come prepared to engage in thoughtful discussions of the materials. Students are asked to write informal, short memos prior to several of the classes. These memos will generally be responses to some questions or issues we pose prior to each class. In addition, each student will be asked to present at least one of the research papers as part of the class discussion.

There are no exams in this class but a final paper and a presentation is due at the end of the semester. It can be either a survey of the research in a particular area or a research paper on a specific topic. Either way, the paper can be thought of as a step towards developing a research program. In the past, some of these papers have led to publications.

Throughout the semester, students are expected to develop a paper from scratch to completion. By the end of the semester, a paper is expected to be submitted to ICIS 2020 (this year, it will be hosted in Hyderabad, India from Dec 13-16). Conveniently, the submission deadline is usually in April.

Course Objectives

· Learn to think and act as an academic  

· Conduct literature review to support a research question  

· Understand and be able to apply rigorous methodologies

· Learn to critique academic research works  

· Develop, present and write a good econ-of-IS research paper  

A term paper is due by April 14, 2020.

Readings

Please read the materials before class. Optional readings are marked with a star (*). All other readings are required.

Assignments

Please submit your weekly assignments to zhang@cuhk.edu.hk by 6pm on Monday (the evening before class). Late submissions will not be accepted.

Class Hours

Tuesday 2:30-5:45pm.

- Note this is changed from the original 2:30-5:15pm. We add 30 minutes in each class, so we can reduce the total number of sessions to 11 classes.

Grading

Grades will be given with weights on the following course requirements:

In-class discussion

Weekly two-page write up

Presentation

Term paper

Total

100%

Date	Topic
1/7	Introduction
1/14	Methodology I: Experiments
1/21	Methodology II: IV and RD designs
2/4	No class
2/11	Topic (1): IT and Finance
2/18	Topic (2): Online Reputation Systems, Word-of-Mouth
2/25	Topic (3): Online Advertising, Keyword Auctions
3/3	Mid-term discussion
3/10	Topic (4): Social Media, Social Networks
3/17	Topic (5): Artificial Intelligence, Machine Learning
3/24	Publication and other questions
3/31	Final Presentations

Introduction

Kremer, Michael, “Writing papers: A Checklist”.
http://qed.econ.queensu.ca/pub/faculty/sumon/mkremer_checklist_paper.pdf

Mankiw NG. (1994). My Rules of Thumb. The American Economist.
https://scholar.harvard.edu/files/mankiw/files/my_rules_of_thumb.pdf

Varian, H (1999). "How to Build an Economic Model in your Spare Time." In Passion and Craft: Economists at Work. Edited by Szenberg, M. Ann Arbor, MI: University of Michigan Press.
http://people.ischool.berkeley.edu/~hal/Papers/how.pdf

Stiglitz, J. (2000). “The Contribution of the Economics of Information to Twentieth Century Economics.” Quarterly Journal of Economics, 115(4), 1441-1478 (JSTOR).

http://www.jstor.org/stable/2586930

Ellison, Glenn and Sara Fisher Ellison (2005) " Lessons About Markets from the Internet" Journal of Economic Perspectives, 19(2): 139-158
http://pubs.aeaweb.org/doi/pdfplus/10.1257/0895330054048632

Krugman, P. (2013). “Crib Sheet: How I work (Self-indulgent)” New York Times, July 5; http://krugman.blogs.nytimes.com/2013/07/05/crib-sheet-how-i-work-self-indulgent/

Pre-class Assignment (Do it before class, we will discuss)

1. After reviewing this syllabus, rank list 5 papers you’d be interested in presenting this semester.

2. What are the most important puzzles and research topics that are emerging in the digital economy? Each student will briefly present one.

Data sources:

https://www.quandl.com/
https://toolbox.google.com/datasetsearch

https://registry.opendata.aws/

Experiments

Tao Lu, Alex Wang, May Yuan and Xiaoquan Zhang, (forthcoming) "Visual Distortion Bias in Consumer Choice, Management Science
http://blog.mikezhang.com/files/visualdistortionbias.pdf

Manski, C. (2000). Economic analysis of social interactions. Journal of Economic Perspectives, 115–136.
http://www.nber.org/papers/w7580.pdf

DellaVigna, S., & Malmendier, U. (2006). Paying not to go to the gym. American Economic Review, 96(3), 694–719.
http://www.jstor.org/stable/30034067

Cai, H., Chen, Y., & Fang, H. (2009). Observational Learning: Evidence from a Randomized Natural Field Experiment. American Economic Review.
http://www.jstor.org/stable/25592485

Centola, D. (2010). The Spread of Behavior in an Online Social Network Experiment. Science, 329(5996), 1194–1197.
http://image.sciencenet.cn/olddata/kexue.com.cn/upload/blog/file/2010/12/2010122110322935115.pdf

Zhang, Michael and Feng Zhu. (2011) “Group Size and Incentives to Contribute: A Natural Experiment at Chinese Wikipedia” American Economic Review, 101(4), 1601-1615.
http://www.jstor.org/stable/23045913

Chen, Yuyu, and David Y. Yang. 2019. "The Impact of Media Censorship: 1984 or Brave New World?" American Economic Review, 109 (6): 2294-2332.

Agent-based modeling: Methods and techniques for simulating human systems， Eric Bonabeau, PNAS May 14, 2002 99 (suppl 3) 7280-7287

Optional readings:

Rosenblat, T., & Mobius, M. (2006). Why Beauty Matters. American Economic Review.
http://www.jstor.org/stable/30034362

*List, J. (2006). Field Experiments: A Bridge between Lab and Naturally Occurring Data. Advances in Economic Analysis & Policy.
http://s3.amazonaws.com/fieldexperiments-papers2/papers/00083.pdf

*Levitt, S., & List, J. (2009). Field experiments in economics: The past, the present, and the future. European Economic Review.
https://pdfs.semanticscholar.org/646e/3d5373e48bd23615dbb0d3a874360a58dd04.pdf

Catherine Tucker and Juanjuan Zhang, 2011, “How Does Popularity Information Affect Choices? A Field Experiment” Management Science, Vol. 57, No. 5, May 2011, pp. 828-842.
http://www.jstor.org/stable/25835743

Assignment

Write a two-page proposal on what potential experiment you can conduct on an online platform (e.g., Facebook, Wechat, YouTube, Zhihu, iQiyi, Taobao, University homepage, etc.). Explain what is the research topic, what is treatment and control. What are the potential findings?

Instrument Variable, Regression Discontinuity

Instrument variable:

Angrist, J., & Krueger, A. (2001). Instrumental variables and the search for identification: From supply and demand to natural experiments. Journal of Economic Perspectives, 15(4), 69–85.
https://dspace.mit.edu/bitstream/handle/1721.1/63775/instrumentalvari00angr.pdf?sequence=1

Ludwig, J. (2005). Does Head Start improve children's life chances? Evidence from a regression discontinuity design. Quarterly Journal of Economics.
http://www.jstor.org/stable/25098840

Brown, J. R., Ivkovic, Z., Smith, P. A., & Weisbenner, S. (2008). Neighbors Matter: Causal Community Effects and Stock Market Participation. Journal of Finance, LXIII(3), 23.
http://www.jstor.org/stable/25094479

Jeremiah Dittmar (2011) Information Technology and Economic Change: The Impact of the Printing Press. Quarterly Journal of Economics.
http://www.jstor.org/stable/23015698

Regression discontinuity designs:

Imke Reimers and Joel Waldfogel (2021). Digitization and Pre-Purchase Information: The Causal and Welfare Impacts of Reviews and Crowd Ratings. American Economic Review, 111(6), 1944-1971.
https://pubs.aeaweb.org/doi/pdfplus/10.1257/aer.20200153

Imbens, G., & Lemieux, T. (2008). Regression discontinuity designs: A guide to practice. Journal of Econometrics, 142(2), 615–635.
http://ac.els-cdn.com/S0304407607001091/1-s2.0-S0304407607001091-main.pdf?_tid=0b4e59fa-8d31-11e7-b9fa-00000aab0f6c&acdnat=1504062931_dfa1d1adb0c5137c30ddd9820c27c2a6

Luca, Michael. 2016. “Reviews, Reputation and Revenue: The Case of Yelp.com .”
http://go.mainstreethub.com/rs/mainstreethub/images/Yelp%20Study.pdf

Optional readings:

*Klaauw. (2007). “Regression-Discontinuity Analysis”
http://faculty.smu.edu/Millimet/classes/eco7377/papers/van%20der%20klaauw%2008a.pdf

*Card, D., Lee, D. S., Pei, Z., & Weber, A. (2015). Inference on Causal Effects in a Generalized Regression Kink Design. Econometrica, 83(6), 2453–2483.
https://www.econstor.eu/bitstream/10419/126277/1/817177515.pdf

*Skiera, B., et al., What should be the dependent variable in marketing-related event studies?, International Journal of Research in Marketing (2017).
http://www.sciencedirect.com/science/article/pii/S0167811617300046

Assignment

Write a one-page critique of any paper that uses IV technique and show why this IV may not be valid.

IT and Finance (FinTech)

Antweiler, W., and Frank, M. Z. 2004. “Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards,” Journal of Finance (59:3), pp. 1259-1294.
http://www.jstor.org/stable/3694736

Tetlock, P. C., Saar-Tsechansky, M., and Macskassy, S. 2008. “More than Words: Quantifying Language to Measure Firms’ Fundamentals,” Journal of Finance (63:3), Pp. 1437-1467.
http://www.jstor.org/stable/25094477

Da, Z., Engelberg, J., and Gao, P. 2011. “In Search of Attention,” Journal of Finance (66:5), pp. 1461-1499.
http://www.jstor.org/stable/41305167

Juanjuan Zhang and Peng Liu, 2012, “Rational Herding in Microloan Markets” Management Science, Vol. 58, No. 5, May 2012, pp. 892-912.
http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.1110.1459

Xu, Sean Xin, and Zhang, Xiaoquan (Michael), "Impact of Wikipedia on Market Information Environment: Evidence on Management Disclosure and Investor Reaction," MIS Quarterly, 37, 4, 2013, 1043-1068.
http://www.rccm.tsinghua.edu.cn/u/cms/www/201501/14092405it3s.pdf

Chen, Hailiang, Prabuddha De, Yu Jeffrey Hu, Byoung-Hyoun Hwang (2014), "Wisdom of Crowds: The Value of Stock Opinions Transmitted Through Social Media", Review of Financial Studies, 27, 5, 1367-1403.
http://www.hedgechatter.com/wp-content/uploads/2014/09/wisdom-of-crowds.pdf

Forman, C., Goldfarb, A., & Greenstein, S. (2016). Agglomeration of Invention in the Bay Area: Not Just ICT. American Economic Review. 106:146-151.
http://siepr.stanford.edu/system/files/FormanGoldfarbGreenstein_notjustict.pdf

Machina, Mark J. 2014. "Ambiguity Aversion with Three or More Outcomes." American Economic Review, 104 (12): 3814-40.

Optional readings:

*Tetlock, P. C. 2007. “Giving Content to Investor Sentiment: The Role of Media in the Stock Market,” Journal of Finance (62:3), pp. 1139-1168.
http://www.jstor.org/stable/4622297

*Bogan, V. 2008. “Stock Market Participation and the Internet,” Journal of Financial and Quantitative Analysis (43:1), pp. 191-212.
http://www.jstor.org/stable/27647344

*Hendershott, T., Jones, C. M., and Menkveld, A. J. 2011. “Does Algorithmic Trading Improve Liquidity?,” Journal of Finance (66:1), pp. 1-33.
http://www.jstor.org/stable/29789770

*Brogaard, J., Hendershott, T., & Riordan, R., (2014). High-Frequency Trading and Price Discovery, Review of Financial Studies, Vol. 27(8), pp. 2267-2353.
https://www.econstor.eu/bitstream/10419/154035/1/ecbwp1602.pdf

*Zhang, Michael, and Zhang, Lihong. 2015. "How Does the Internet Affect the Financial Market? An Equilibrium Model of Internet Facilitated Feedback Trading," MIS Quarterly, 39, 1, 17-38.
http://eds.a.ebscohost.com/eds/pdfviewer/pdfviewer?vid=0&sid=b54707cf-a73b-4eb7-8f08-f4045341222e%40sessionmgr4010

*Ekkehart Boehmer, Dan Li, and Gideon Saar, 2016, Correlated High-Frequency Trading, SMU, HKU, Cornell Working Paper.
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2745367

* Brogaard, J., Carrion, A., Moyaert, T., Riordan, R., Shkilko, A., & Sokolov, K., High Frequency Trading and Extreme Price Movements, (2016). Journal of Financial Economics.
https://www.aeaweb.org/conference/2016/retrieve.php?pdfid=702

Assignment

Write a two-page survey (perhaps many bullet points) of research topics under the hood of “IT and Finance” or “FinTech”.

Online Reputation Systems, Word-of-Mouth

Chevalier, Judith and Dina Mayzlin. 2006. “The Effect of Word-of-Mouth on Sales: OnlineBook Reviews.” Journal of Marketing Research, 43(3), 345-354.
http://www.jstor.org/stable/30162409

Dellarocas, C., Zhang, X., and Awad, N. F., 2007, "Exploring the Value of Online Product Reviews in Forecasting Sales: The Case of Motion Pictures," Journal of Interactive Marketing, 21, 4, 2-20.
http://www.sciencedirect.com/science/article/pii/S1094996807700361

Zhu, Feng, and Michael Zhang. 2010. "Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics." Journal of Marketing 74(2): 133–148.
http://www.jstor.org/stable/20619095

Monic Sun, 2012. How Does the Variance of Product Ratings Matter? Management Science, 58(4), 696-707.
http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.1110.1458

Mayzlin, Dina, Yaniv Dover, and Judith Chevalier. 2014. "Promotional Reviews: An Empirical Investigation of Online Review Manipulation." American Economic Review, 104(8): 2421-55.
http://www.jstor.org/stable/pdf/42920894.pdf

Wang, Alex, Zhang, Xiaoquan (Michael), and Hann, Il-Horn, 2015 "Socially Nudged: A Quasi-Experimental Study of Friends' Social Influence in Online Product Ratings," Information Systems Research.
https://pdfs.semanticscholar.org/a85f/b4605a58dd67c22b81af1ca1a82b88a51d84.pdf

Michael Luca, Georgios Zervas (2016) Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud. Management Science 62(12):3412-3427.
http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.2015.2304

Optional reading:

*Dellarocas, C., and Wood, C. A. 2008. “The Sound of Silence in Online Feedback: Estimating Trading Risks in the Presence of Reporting Bias,” Management Science (54:3), pp. 460-476.
http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.1070.0747

*Gao, Guodong Gordon, Brad N Greenwood, Jeff McCullough, Ritu Agarwal. 2015. Vocal minority and silent majority: How do online ratings reflect population perceptions of quality? MIS Quarterly.
http://community.mis.temple.edu/greenwood/files/2015/08/Gao-et-al-2015.pdf

Assignment

Reflect on the historical path of the development of this literature. Write a two-page report on how the topic and research methodology changed over time. What would be the next important research issue in this literature?

Online Advertising, Keyword Auctions

Varian, Hal. 2007. "Position Auctions." International Journal of Industrial Organization, 25, 1163-1178.
http://www.sciencedirect.com/science/article/pii/S0167718706001317/pdfft?md5=d198befb33e37fc530b0fb2219e661b7&pid=1-s2.0-S0167718706001317-main.pdf

Edelman, Benjamin, Michael Ostrovsky, and Michael Schwartz. 2007. "Internet Advertising and the Generalized Second Price Auction: Selling Billions of Dollars Worth of Keywords." American Economic Review, 97(1), 242-259.
http://www.jstor.org/stable/30034393

Avi Goldfarb, Catherine Tucker (2011) Advertising Bans and the Substitutability of Online and Offline Advertising. Journal of Marketing Research: April 2011, Vol. 48, No. 2, pp. 207-227.
http://www.jstor.org/stable/23033426

Lee, Young Han and Ulrike Malmendier. 2011. "The Bidder's Curse." American Economic Review, 101(2), 749-787.
http://www.jstor.org/stable/29783689

Zhang, Xiaoquan (Michael)., and Feng, Juan, 2011, "Cyclical Bid Adjustments in Search-Engine Advertising," Management Science, 57, 9, 1703-1719.
http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.1110.1408

Juanjuan Zhang, Shiyang Gong, Ping Zhao & Xuping Jiang, 2016 “Tweeting as a Marketing Tool – Field Experiment in the TV Industry” Journal of Marketing Research, forthcoming
http://jjzhang.scripts.mit.edu/docs/Gong_Zhang_Zhao_Jiang_2017.pdf

Overby, E., & Forman, C. (2015). The Effect of Electronic Commerce on Geographic Purchasing Patterns and Price Dispersion. Management Science. 61:431-453.
http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.2014.1977

*Sun, Monic, and Feng Zhu. 2013. "Ad Revenue and Content Commercialization: Evidence from Blogs." Management Science 59, no. 10: 2314–2331.
http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.1120.1704

*Ostrovsky, Michael and Michael Schwarz. 2016. "Reserve Prices in Internet Advertising Auctions: A Field Experiment," Stanford University.
http://web.stanford.edu/~ost/papers/rp.pdf

Assignment

All keyword auction papers covered in this list are about single keywords. What can be some of the research questions related to multiple keywords? That is: multiple advertisers competing for multiple related keywords. Write a one or two-page proposal of potential research ideas.

Social Media, Social Networks and Online Community

Garg, Rajiv and Rahul Telang. 2012. "To Be or Not to Be Linked on LinkedIn: Online Social Networks and Job Search."
https://www.krannert.purdue.edu/academics/mis/workshop/2013/Garg%20-%20Linking%20on%20LinkedIn.pdf

Zhang, Xiaoquan (Michael), and Wang, Alex, "Network Positions and Contributions to Online Public Goods: The Case of Chinese Wikipedia," Journal of Management Information Systems, 29, 2, 2012, 11-40.
http://www.tandfonline.com/doi/pdf/10.2753/MIS0742-1222290202

Catherine E. Tucker (2014) Social Networks, Personalized Advertising, and Privacy Controls. Journal of Marketing Research. Vol. 51, No. 5, pp. 546-562.
https://scholar.google.com.hk/scholar?q=Social+Networks%2C+Personalized+Advertising%2C+and+Privacy+Controls&btnG=&hl=zh-CN&as_sdt=0%2C5 Click [PDF] mit.edu

Bapna, R., J. Ramprasad, G. Shmueli, and A. Umyarov, "One-Way Mirrors in Online Dating: A Randomized Field Experiment", Management Science, vol. 62, issue 11, pp. 3100-3122, 2016.
http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.2015.2301

Daniel Mochon, Karen Johnson, Janet Schwartz and Dan Ariely. (2017) What Are Likes Worth? A Facebook Page Field Experiment. Journal of Marketing Research 54:2, 306-317.

Ravi Bapna, Liangfei Qiu, and Sarah Rice, "Repeated Interactions Versus Social Ties: Quantifying the Economic Value of Trust, Forgiveness, and Reputation Using a Field Experiment," MIS Quarterly (2017), 41(3), 841-866.

Qin, Bei, David Strömberg, and Yanhui Wu. 2018. "Media Bias in China." American Economic Review, 108 (9): 2442-76.

Sun, M., Zhang, X., and Zhu, F. "U-shaped Conformity in Online Social Networks," Marketing Science, forthcoming.

Assignment

Go back to the first assignment that you have done (I asked you to propose an experiment on one of your chosen online platforms), write a one-to-two-page report on how you plan to improve it. Now after two months of intensive study on this topic, you should be able to improve it significantly.

Artificial Intelligence, Machine Learning

Liran Einav and Jonathan Levin, The Data Revolution and Economic Analysis, NBER.
https://web.stanford.edu/~jdlevin/Papers/BigData.pdf

Shmueli, G., "To Explain or To Predict?", Statistical Science, vol. 25, issue 3, pp. 289-310, 2010.
https://projecteuclid.org/download/pdfview_1/euclid.ss/1294167961

Shmueli, G., and O. Koppius, "Predictive Analytics in Information Systems Research", MIS Quarterly, vol. 35, issue 3, pp. 553-572, 2011.
http://www.jstor.org/stable/23042796

Lin, M., H. C. Lucas, and G. Shmueli, "Too Big To Fail: Large Samples and the P-Value Problem", Information Systems Research, vol. 24, issue 4, pp. 906-917, 2013.
http://pubsonline.informs.org/doi/pdf/10.1287/isre.2013.0480

Varian, Hal R. 2014. "Big Data: New Tricks for Econometrics." Journal of Economic Perspectives, 28(2): 3-28.
http://www.jstor.org/stable/23723482

Brynjolfsson, Erik, Tomer Geva, and Shachar Reichman. 2015 "Crowd-Squared: Amplifying the Predictive Power of Search Trend Data." MIS Quarterly, 40(4): 941-961.

Yahav, I., G. Shmueli, and D. Mani, "A Tree-Based Approach for Addressing Self-Selection in Impact Studies with Big Data", MIS Quarterly, vol. 40, issue 4, pp. 819-848, 2016.

Mitchell, Tom and Erik Brynjolfsson. "Track How Technology Is Changing Work." Nature, 544(7650): 290-291. April 20, 2017.
https://www.nature.com/news/track-how-technology-is-transforming-work-1.21837

Brynjolfsson, Erik and Andrew McAfee. "The Business of Artificial Intelligence: What it Can—and Cannot—Do for Your Organization." Harvard Business Review, July 2017.
https://hbr.org/cover-story/2017/07/the-business-of-artificial-intelligence

Bloom, Nicholas, Erik Brynjolfsson, Megha Patnaik, Itay Saporta-Eksten, and John Van Reenen. 2017. "The Importance of Structured Management Practices." MIT Sloan Management Review.
http://sloanreview.mit.edu/article/the-importance-of-structured-management-practices/

Optional readings:

*Ghose, Ananidya, Panos Ipeirotis, and Beibei Li. "Estimating Demand for Hotels by Mining User-Generated and Crowdsourced Content on the Internet."
https://pdfs.semanticscholar.org/a64f/948268ddef35f4895470425e5b709f5deea6.pdf

*Benjamin Shiller, First Degree Price Discrimination Using Big Data, Brandeis University.
http://benjaminshiller.com/images/First_Degree_PD_Using_Big_Data_Jan_27,_2014.pdf

*Brynjolfsson, Erik and Andrew McAfee. "What's Driving the Machine Learning Explosion?" Harvard Business Review, July 18, 2017.
https://hbr.org/2017/07/whats-driving-the-machine-learning-explosion

*Shmueli, G., "Analyzing Behavioral Big Data: Methodological, Practical, Ethical, and Moral Issues", Quality Engineering, vol. 29, issue 1, pp. 57-74 and 88-90, 2017.
http://www.tandfonline.com/doi/abs/10.1080/08982112.2016.1210979?journalCode=lqen20

Publication and Other Questions

Here are some questions I think we can discuss. Of course, the discussion will not be limited by this list: