From Crowds to Collaborators: Initiating Effort and Catalyzing Interactions Among Online Creative Workers


Harvard Business School Paper by Kevin J. Boudreau, Patrick Gaule, Karim R. Lakhani, Christoph Riedl, and Anita Williams Woolley: “Online “organizations” are becoming a major engine for knowledge development in a variety of domains such as Wikipedia and open source software development. Many online platforms involve collaboration and coordination among members to reach common goals. In this sense, they are collaborative communities. This paper asks: What factors most inspire online teams to begin to collaborate and to do so creatively and effectively? The authors analyze a data set of 260 individuals randomly assigned to 52 teams tasked with developing working solutions to a complex innovation problem over 10 days, with varying cash incentives. Findings showed that although cash incentives stimulated a significant boost of effort per se, cash incentives did not transform the nature of the work process or affect the level of collaboration. In addition, at a basic yet striking level, the likelihood that an individual chooses to participate depended on whether teammates were themselves active. Moreover, communications among teammates led to more communications, and communications among teammates also stimulated greater continuous levels of effort. Overall, the study sheds light on how perspectives on incentives, predominant in economics, and perspectives on social processes and interactions, predominant in research on organizational behavior and teams, can be better understood. Key concepts include:

  • An individual’s likelihood of being active in online collaboration increases by about 41 percent with each additional active teammate.
  • Management could provide communications channels to make the efforts of other members more visible. This is important in the design of systems for online work as it helps members to confirm that others are actively contributing.

Full Working Paper Text
 

Innovation in Multi-Stakeholder Engagement


New INSEAD working paper by Mahroum, Sami, Bell, Simon and Yassin, Nasser: “This paper is concerned with the multitude of interleaving issues which emerge when engaging multiple stakeholders in decision making. Whilst recognising the intrinsic values of group work (including shared views, wide option selection, public spirited focus, legitimacy of decisions and improved intellectual content) and keeping in mind the numerous issues which confuse and obscure clear findings from group work (including multiple roles for participants, bias due to domination and distortion emerging from uneven group inputs) this paper uses an innovative methodology – the Triple Task – to propose a new framework for organising multi-stakeholder consultations. The Triple Task methodology was applied to test the new framework on multi-stakeholders in the context of education in Abu Dhabi, where various small groups were tasked and assessed using the methodology. The results indicate that moving participants from heterogeneous to homogenous groups results on these groups becoming more focused in their outcomes with greater clarity in the thinking of group members”

Transparency 2.0: The Fundamentals of Online Open Government


White Paper by Granicus: “Open government is about building transparency, trust, and engagement with the public. Today, with 80% of the North American public on the Internet, it is becoming increasingly clear that building open government starts online. Transparency 2.0 not only provides public information, but also develops civic engagement, opens the decision-making process online, and takes advantage of today’s technology trends.
Citizen ideation & feedback. While open data comprised much of what online transparency used to be, today, government agencies have expanded openness to include public records, legislative data, decision-making workflow, and citizen ideation and feedback.
This paper outlines the principles of Transparency 2.0, the fundamentals and best practices for creating the most advanced and comprehensive online open government that over a thousand state, federal, and local government agencies are now using to reduce information requests, create engagement, and improve efficiency.”

Prizes and Productivity: How Winning the Fields Medal Affects Scientific Output


New NBER working paper by George J. Borjas and Kirk B. Doran: “Knowledge generation is key to economic growth, and scientific prizes are designed to encourage it. But how does winning a prestigious prize affect future output? We compare the productivity of Fields medalists (winners of the top mathematics prize) to that of similarly brilliant contenders. The two groups have similar publication rates until the award year, after which the winners’ productivity declines. The medalists begin to “play the field,” studying unfamiliar topics at the expense of writing papers. It appears that tournaments can have large post-prize effects on the effort allocation of knowledge producers.”

The Three Worlds of Governance: Arguments for a Parsimonious Theory of Quality of Government.


New Working Paper by Bo Rothstein for the Quality of Governance Institute: “It is necessary to conceptualize and provide better measures of good governance because in contrast to democratization, empirical studies show that it has strong positive effects on measures of human well-being, social trust, life satisfaction, peace and political legitimacy. A central problem is that the term “governance” is conceptualized differently in three main approaches to governance which has led to much confusion. To avoid this, the term quality of government (QoG) is preferred.
This paper argues for a parsimonious conceptualization of QoG built the “Rawls-Machiavelli pro-gramme”. This is a combination of the Rawlsian understanding of what should be seen as a just political order and the empirical strategy used by Machiavelli stating what is possible to implement. It is argued that complex definitions are impossible to operationalize and that such a strategy would leave political science without a proper conceptualization as well as measures of the part of the state that is most important for humans’ well-being and political legitimacy. The theory proposed is that impartiality in the exercise of public power should be the basic norm for how QoG should be defined. The advantage with this strategy is that it does not include in the definition of QoG what we want to explain (efficiency, prosperity, administrative capacity and other “good outcomes”) and that recent empirical research shows that this theory can be operationalized and used to measure QoG in ways that have the predicted outcomes.”

City Data: Big, Open and Linked


Working Paper by Mark S. Fox (University of Toronto): “Cities are moving towards policymaking based on data. They are publishing data using Open Data standards, linking data from disparate sources, allowing the crowd to update their data with Smart Phone Apps that use Open APIs, and applying “Big Data” Techniques to discover relationships that lead to greater efficiencies.
One Big City Data example is from New York City (Schönberger & Cukier, 2013). Building owners were illegally converting their buildings into rooming houses that contained 10 times the number people they were designed for. These buildings posed a number of problems, including fire hazards, drugs, crime, disease and pest infestations. There are over 900,000 properties in New York City and only 200 inspectors who received over 25,000 illegal conversion complaints per year. The challenge was to distinguish nuisance complaints from those worth investigating where current methods were resulting in only 13% of the inspections resulting in vacate orders.
New York’s Analytics team created a dataset that combined data from 19 agencies including buildings, preservation, police, fire, tax, and building permits. By combining data analysis with expertise gleaned from inspectors (e.g., buildings that recently received a building permit were less likely to be a problem as they were being well maintained), the team was able to develop a rating system for complaints. Based on their analysis of this data, they were able to rate complaints such that in 70% of their visits, inspectors issued vacate orders; a fivefold increase in efficiency…
This paper provides an introduction to the concepts that underlie Big City Data. It explains the concepts of Open, Unified, Linked and Grounded data that lie at the heart of the Semantic Web. It then builds on this by discussing Data Analytics, which includes Statistics, Pattern Recognition and Machine Learning. Finally we discuss Big Data as the extension of Data Analytics to the Cloud where massive amounts of computing power and storage are available for processing large data sets. We use city data to illustrate each.”