Abstract:Enabled by Internet-based technologies, users are increasingly participating and collaborating in idea generation in online innovation communities. Beyond increasing the quantity of ideas contributed by users, firms are looking to obtain innovation ideas of better quality. However, with the limited understanding of the phenomenon, few studies have focused on investigating what determines the quality of collaboratively generated user ideas in online innovation communities. This study aims to address this knowle… Show more
“…The normalization uncertainty from the p+p collisions is shown as the vertical green bar. represented by the average number of participant nucleons N part [12]. The blue and red symbols represent the results from √ s NN = 200 GeV Au+Au [25] and √ s NN = 193 GeV U+U collisions, respectively.…”
Section: Results On Heavy Flavor Productionmentioning
confidence: 99%
“…In order to explore the properties of the QCD phase diagram, since 2010, the experiment has collected sizable data sets of Au+Au collisions at the lower collision energy region where the net-baryon density is large. At the 2014 Quark Matter Conference, the STAR experiment made 16 presentations that cover physics topics including collective dynamics, electromagnetic probes, heavy flavor, initial state physics, jets, QCD phase diagram, thermodynamics and hadron chemistry, and future experimental facilities, upgrades, and instrumentation [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. In this overview we will highlight a few results from the STAR experiment, especially those from the recent measurements of the RHIC beam energy scan program.…”
With large acceptance and excellent particle identification, STAR is one of the best mid-rapidity collider experiments for studying high-energy nuclear collisions. The STAR experiment provides full information on initial conditions, properties of the hot and dense medium as well as the properties at freeze-out. In Au+Au collisions at √ s NN = 200 GeV, STAR's focus is on the nature of the sQGP produced at RHIC. In order to explore the properties of the QCD phase diagram, since 2010, the experiment has collected sizable data sets of Au+Au collisions at the lower collision energy region where the net-baryon density is large. At the 2014 Quark Matter Conference, the STAR experiment made 16 presentations that cover physics topics including collective dynamics, electromagnetic probes, heavy flavor, initial state physics, jets, QCD phase diagram, thermodynamics and hadron chemistry, and future experimental facilities, upgrades, and instrumentation [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. In this overview we will highlight a few results from the STAR experiment, especially those from the recent measurements of the RHIC beam energy scan program. At the end, instead of a summary, we will discuss STAR's near future physics programs at RHIC.
“…The normalization uncertainty from the p+p collisions is shown as the vertical green bar. represented by the average number of participant nucleons N part [12]. The blue and red symbols represent the results from √ s NN = 200 GeV Au+Au [25] and √ s NN = 193 GeV U+U collisions, respectively.…”
Section: Results On Heavy Flavor Productionmentioning
confidence: 99%
“…In order to explore the properties of the QCD phase diagram, since 2010, the experiment has collected sizable data sets of Au+Au collisions at the lower collision energy region where the net-baryon density is large. At the 2014 Quark Matter Conference, the STAR experiment made 16 presentations that cover physics topics including collective dynamics, electromagnetic probes, heavy flavor, initial state physics, jets, QCD phase diagram, thermodynamics and hadron chemistry, and future experimental facilities, upgrades, and instrumentation [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. In this overview we will highlight a few results from the STAR experiment, especially those from the recent measurements of the RHIC beam energy scan program.…”
With large acceptance and excellent particle identification, STAR is one of the best mid-rapidity collider experiments for studying high-energy nuclear collisions. The STAR experiment provides full information on initial conditions, properties of the hot and dense medium as well as the properties at freeze-out. In Au+Au collisions at √ s NN = 200 GeV, STAR's focus is on the nature of the sQGP produced at RHIC. In order to explore the properties of the QCD phase diagram, since 2010, the experiment has collected sizable data sets of Au+Au collisions at the lower collision energy region where the net-baryon density is large. At the 2014 Quark Matter Conference, the STAR experiment made 16 presentations that cover physics topics including collective dynamics, electromagnetic probes, heavy flavor, initial state physics, jets, QCD phase diagram, thermodynamics and hadron chemistry, and future experimental facilities, upgrades, and instrumentation [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. In this overview we will highlight a few results from the STAR experiment, especially those from the recent measurements of the RHIC beam energy scan program. At the end, instead of a summary, we will discuss STAR's near future physics programs at RHIC.
“…Taken together, these arguments suggest that ideas with an optimal degree of elaboration may be favored during the selection process because they result more detailed and understandable. Moreover, it is highlighted that an optimal degree of elaboration reflects the time and effort dedicated by the submitter in constructing, clarifying, and codifying an idea, which would contribute to improve its description and perceived value (Ransbotham et al, ; Ye et al, ), thus increasing its chances of selection. Hence, H4: There is an inverted U‐shaped relationship between the degree of elaboration of an idea and its likelihood of being selected for further investment and investigation .…”
Section: Development Of Hypothesesmentioning
confidence: 99%
“…One form of online participation entails the possibility for contributors to directly edit, recombine, and modify others' ideas in order to improve them (Majchrzak and Malhotra, ). Alternatively, contributors can provide feedback to others' ideas through their comments, which are then considered by managers during the evaluation process (Haller et al, ; Ye et al, ). In this study, contributors' participation refers to the latter and is defined as the individual offering of knowledge and feedback to others' ideas (Faraj et al, ).…”
Organizations increasingly implement web-enabled ideation systems to involve the diverse crowd of distributed employees in ideation. While recent studies have started to investigate which types of data generated in these systems can support managers in their selection decisions, less attention has been placed on the crowd of contributors and the idea itself. Building on team diversity and information processing literatures, this study extends current research by examining how contributors' knowledge diversity, the framing of their feedback (positive and negative), and the degree of idea elaboration influence selection decisions in web-enabled ideation systems. Understanding the role of contributors is arguably important considering that the increasing integration of community functionalities enables employees to participate not only by generating ideas, but also by offering different types of knowledge and feedback to others' ideas, thus giving rise to new forms of online participation. At the same time, individuals' abilities and efforts invested in the formulation of ideas are claimed to influence how managers evaluate them, an aspect that has received limited attention in these online settings. This study is based on a rich and extensive data set of 726 ideas and 2925 comments submitted by employees to an online ideation platform of a large European firm over the course of 16 months. The findings reveal that different forms of contributors' diversity and the framing of their feedback have differential effects on idea selection. Ideas attracting contributors from different functional domains are more likely to be selected by managers, while geographic diversity does not have a significant effect on selection. Moreover, feedback that is negatively framed tends to decrease the selection chances of an idea. Finally, ideas with an optimal degree of elaboration are more likely to be selected by managers for funding. Implications for both innovation management research and practitioners are discussed.
Practitioner PointsThis study sheds lights on which data generated in web-enabled ideation systems can act as filtering heuristics for managers for supporting their selection decisions.Managers should not only attract a large crowd of contributors, but also consider the types of participants to engage in complementing ideas to enable access to diverse knowledge domains and expertise.The study points to the importance of considering the framing of feedback at the collective level. Feedback that is negatively framed may direct managers' attention toward critiques and limitations of an idea, reducing its likelihood of selection.Managers should pay attention to the degree of elaboration of ideas. Tools may be provided in the platform to improve the description of ideas, making sure that enough details are provided for ideas to be understood while not becoming too redundant.
“…The somewhat increased fraction of B → J/ψ decays in the overall J/ψ production in Au-Cu collisions when compared to Au-Au collisions is attributed to a smaller level of suppression of beauty hadrons in Au-Au collisions than for J/ψ mesons. The STAR Collaboration is taking advantage of its enhanced vertexing capabilities by means of the Heavy-Flavor Tracker, which is based on monolithic active pixel sensor technology [2]. STAR has recorded some 3 billion Au-Au collisions at 200 GeV, and as of this conference a subset (1/4) of the data has been analyzed.…”
Abstract. These are the proceedings of the experimental overview of the production of open heavy flavor at the international conference Strangeness in Quark Matter 2016. Instead of a comprehensive overview, I focus on a few topics which the reader might find particularly interesting.
IntroductionHeavy-flavor particles containing a heavy quark (charm or beauty) are unique probes for studies into QGP bulk properties. Their heavy masses constitute a new scale that is much larger than the QCD scale, m c , m b Λ QCD , making their production cross sections at least in principle accessible to calculations in perturbative QCD. Their masses are also much larger than the maximum initial QGP temperature. Heavy quarks acquire their mass almost entirely from the electroweak sector due to their coupling to the Higgs field. Therefore, they remain heavy even when chiral symmetry is at least partially restored in a QGP. This makes heavy quarks a calibrated probe. Heavy-flavor particles provide access to the degree of thermalization among quarks and gluons in the QGP. Due to their relatively long lifetime, heavy-flavor particles can be identified through their decay topology with the decay vertex being displaced from the collision vertex.
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