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Social norms on unethical behaviors in the workplace:a lab experiment
Get PDFWe analyze social norms on unethical behaviors in the workplace using a laboratory experiment. We conducted a norm-elicitation experiment in which we considered two unethical actions as observed in an earlier behavior experiment by Amore et al. (J Bus Ethics 183:495–510, 2023): leaders’ and workers’ untruthful reporting, and workers’ misalignment with their leader’s truthful reporting. We presented participants with Amore et al.’s (2023) background: in experimental firms (1 leader and 3 workers), each member can report their performance via automatic or self-reporting, where the latter allows for profitable and undetectable earnings manipulation. Using the Krupka–Weber procedure, we asked participants to assess the social appropriateness of the reporting decisions that the subjects in Amore et al. (2023) could have taken. We find prevailing norms against self-reporting for artificial profit inflation, and workers’ self-reporting when the leader used automatic reporting. Yet, despite these norms, many subjects in the previous experiment engaged in such unethical misreporting for personal gain. These findings reveal a disconnection between the prevailing social norms and the observed unethical behaviors
D2/D3 dopamine supports the precision of mental state inferences and self-relevance of joint social outcomes
Get PDFEnacted Offstage Images, Reported Onstage Action, and Parallel Fictional Worlds in Dead Centre’s Chekhov’s First Play (2015) and Tim Crouch and Rachana Jadhav’s Total Immediate Collective Imminent Terrestrial Salvation (2019)
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Local party members’ views are associated, but not completely congruent, with local constituency opinion
Get PDFDo local political party members reflect the views of voters in their constituencies? Since candidate selection by local party members is the most common form of candidate selection in the UK, it is important to understand local party members’ views, and how those views relate to views in the local area. We investigate the degree to which individual members’ views match local opinion by combining the results of a large-scale survey of party members in the UK with estimates of local opinion created using multilevel regression and post-stratification. We find that individual party members’ views are moderately to strongly associated with local opinion on both left-right and liberty-authority dimensions. Even so, party members are not entirely congruent with opinion in the local area, having opinions which are either to the left or right of voters in their local area, and which are uniformly more liberal than party supporters
Study of the Veto Performance and Impact of Backgrounds on the DarkSide-20k Dark Matter Search with Focus on Characterising and Understanding the Performance of the Silicon Photomultiplier Sub-system
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Characterization of Broadband Microwave Signals Using a Photonic Lightweight Speckle Pattern Spectrometer
Get PDFThe operating wavelength and modulation frequencies are the critical components of every communication system. Here, we present a speckle pattern (SP) fiber-based spectrometer using a nominally fixed 852-nm laser to measure and calibrate the wavelength and modulation frequencies of the SP produced in multimode fiber (MMF). The laser wavelength is finely tuned within the 100 GHz range and at a resolution of 2 pm (picometers) by appropriately varying the laser injection currents. The wavelength-dependent SP is calibrated by varying the laser current over a preset range, and a series of wavelength-dependent SP data are recorded. The laser is tuned to the middle of the recorded wavelength range for the modulation frequency calibration, and a standard lithium niobate (LiNbO 3) electrooptic modulator Mach–Zehnder modulator (MZM) is applied. With ten meters of MMF, the incoming radio frequency (RF) is modulated in 5 GHz steps up to 40 GHz at a constant wavelength of 852.555 nm, and the generated SPs are stored separately for spectral processing and training. The wavelength-dependent SPs are trained using artificial intelligence (AI), with a reported prediction accuracy of 98.7% at 2-pm wavelength resolution. To the best of our knowledge, this is the first proof-of-concept of a high-resolution, low-cost SP AI-based spectrometer (SPAIS) that has been experimentally reported to predict the exact values of modulated frequencies from the modulated SPs
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