Prior studies on stakeholders’ responses to firms with high prior corporate social responsibility (CSR) engaging in corporate social irresponsibility (CSIR) show inconsistent results. To explore this inconsistency, we focus on the intentionality of CSIR and draw upon cognitive dissonance theory to examine how transgressional CSIR and accidental CSIR differently influence investors’ responses to firms with high prior CSR through both emotional (e.g., anger) and cognitive (e.g., moral judgment) processes. An experimental study using a facial expression analysis technology— FaceReader 5.0 (Study (...) 1) and a scenario experiment (Study 2), reveal that high prior CSR is a double-edged sword. Specifically, high prior CSR elicits an aggravating effect on investor responses (more anger, more negative moral judgment, and more negative effects on investment) in light of transgressional CSIR, but it has a buffering effect on investor responses (less anger, less negative moral judgment, and less negative effects on investment) in light of accidental CSIR. Moreover, we find that when prior CSR and CSIR are in the same (vs. different) domain, the aggravating effect of transgressional CSIR is strengthened, but the buffering effect of accidental CSIR is weakened. Our findings provide important theoretical and practical insights into the effect of prior CSR on investor responses in cases of different CSIR. (shrink)

Although the dominant view in the literature suggests that work-related anxiety experienced by employees affects their behavior and performance, little research has focused on how and when leaders’ workplace anxiety affects their followers’ job performance. Drawing from Emotions as Social Information theory, we propose dual mechanisms of cognitive interference and emotional exhaustion to explain the relationship between leader workplace anxiety and subordinate job performance. Specifically, cognitive interference is the mechanism that best explains the link between leader workplace anxiety and follower (...) task performance, while emotional exhaustion is the mechanism that best explains the link between leader workplace anxiety and follower contextual performance. Additionally, we examine how follower epistemic motivation serves as a boundary condition for the effect of leader anxiety on follower performance outcomes. Results from a 2-wave study of 228 leader-follower dyads in a high-tech company mostly supported our theoretical model. We conclude the study with a discussion of the theoretical and practical implications of our findings. (shrink)

The Internet of Things is an emerging information industry. Applying the information collection, transmission, and processing technologies in the Internet of Things technology to environmental monitoring, environmental emergency, and other environmental protection supervision fields will greatly improve the speed and accuracy of environmental supervision and facilitate the scientific development of environmental protection. Through the Internet of Things, people can obtain a large amount of reliable real-time information, and it is not easy to be affected by time, place, and environment, while (...) the wireless sensor network has the advantages of easy installation and low cost, so environmental monitoring through the Internet of Things is the future development trend. In this paper, in view of the current situation of water scarcity and serious water pollution in China, combined with the development trend and advantages of the Internet of Things, and based on the inadequacy of the existing microbial sensor data collection equipment, we propose a design scheme of microbial concentration monitoring system for waters based on IoT. The system is based on Zig Bee wireless sensor network to build a common data acquisition platform and design special hardware to carry out high-precision microbial sensor data acquisition in water and through the PC to complete the real-time measurement data storage, waveform display, and data processing. In this paper, the schematic diagram and PCB board design of the system hardware module NUC120 main control board, CC2530 RF board, Wi-Fi wireless communication module, and high-precision ADC acquisition module are completed and fabricated. Then, the four modules are combined to realize the development of the data aggregation node and data acquisition node of the dedicated Zig Bee wireless network hardware device. (shrink)