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Existing theories offer conflicting perspectives regarding the relationship between career specialization and labor market outcomes. While some scholars argue it is better for workers to specialize and focus on one area, others argue it is advantageous for workers to diversify and compile experience across multiple work domains. We attempt to reconcile these competing perspectives by developing a theory highlighting the voluntary versus involuntary nature of worker–firm separations as a theoretical contingency that alters the relative advantages and disadvantages associated with specialized versus generalized careers. Our theory is rooted in the notion that the characteristics of involuntary worker–firm separations (i.e., job displacement) simultaneously amplify the disadvantages associated with specialized careers and the advantages associated with generalized careers, thereby giving displaced generalists a relative advantage over displaced specialists. We find support for our theory in the context of U.S. congressional staffing, using administrative employment records and a regression discontinuity identification strategy that exploits quasi-random staffer displacement resulting from narrowly decided congressional reelection bids. Our theoretical contingency is further supported in supplemental regressions where correlational evidence suggests that while specialists tend to be relatively penalized in the labor market after involuntary separations, specialists appear to be relatively privileged when separations are plausibly voluntary.

To which emails do employees first respond? This paper explores the near-universal element of being an employee responsible for attending to an organizational email account. Using a large email cor...

In wireless sensor networks, the energy hole problem severely reduces network lifetime, which is an issue that needs to be urgently solved. This problem has been alleviated to some certain extent by wireless sensor and actuator networks that introduce actuators. Actuators can act as collectors to gather data from the sensor nodes of the corresponding sub-sensing regions. However, the deployment of actuators has a significant impact on energy hole problem. Only when actuators reasonably cover the sensor nodes can the energy hole issue be effectively solved. Hence, it is very important to investigate the deployment of actuators. Moreover, the distribution of sensor nodes is usually random and non-uniform, and the complexity of sensor nodes distribution increases the difficulty in determining the deployment solution of actuators. This study optimizes the deployment of actuators using hierarchical intermittent communication particle swarm optimization (HICPSO) method. The coverage rate of actuators to sensor nodes and the energy consumption rate of sensor nodes are considered as optimization goals, which can balance the energy consumption among sensor nodes and solve energy hole problem. The HICPSO method is proposed to improve the performance of particle swarm optimization method by distributing the population into a hierarchical structure and maintaining the independent development of particles via intermittent learning from upper hierarchies. The results show that the proposed method can effectively increase the coverage rate of actuators to sensor nodes, reduce the energy consumption rate of the sensor nodes, and reduce the packet drop ratio.

The sink hole problem is a critical issue for data collection in wireless sensor networks. Recent research has indicated that the mobility of actuators in wireless sensor actuator networks (WSANs) alleviates the sink hole problem. However, mobile actuator-based data collection may result in unsatisfactory data gathering delay, which is not acceptable for delay-sensitive real time applications. Thus, planning the optimal path for mobile collector is a critical challenge in WSANs to balance between the prolongation of network lifetime and the reduction of the data gathering delay. To address this issue, we propose a mobile collector-based cost balancing algorithm to achieve uniform data gathering delay and energy consumption based on the adaptive region partitioning and dynamic polling point selection. The proposed algorithm uses multiple mobile collectors and partitions the sensing area into several regions that are monitored by the mobile collectors according to the distribution of cost in the area. It also dynamically determines moving trajectory of each mobile collector by selecting the polling points to visit considering the distance to travel and the nodes’ energy consumption. The superiority of the proposed algorithm is validated by theoretical analysis and simulation results.

This study revisits the portability of performance paradox—the common finding that external hires fail to replicate prior performance after switching firms—by examining how the nature of an employe...

We examine how a discontinuous increase in the value of an employee’s relational capital influences the employee’s mobility and entrepreneurship decisions in professional and business service contexts. Drawing on the unfolding model of voluntary turnover, we develop a theory proposing that positive shocks to external relational capital will catalyze employees to consider alternative employment options, thereby increasing the probability of exit. We further maintain that exit decisions in response to such shocks will be driven by a desire to appropriate more value, making these shocks strong predictors of employee entrepreneurship, especially when the employee works in an area that is peripheral to the firm’s core capabilities. Empirically, we construct a unique employee-employer linked database that tracks employment of lobbyists in the United States federal lobbying industry. Leveraging plausibly exogenous shocks to the value of an employee’s relational capital and a novel market-based measure of the employee’s position in the firm’s knowledge space, we report two sets of findings. First, an increase in the value of relational capital has a positive effect on the likelihood of mobility to established firms and employee entrepreneurship, with the effect for the latter stronger than the former. Second, the magnitude of the effect on employee entrepreneurship becomes stronger when the employee is peripheral to the firm’s core knowledge. Together, our results are consistent with a value creation-value appropriation rationale, where sudden increases in the value of an employee’s relational capital drive exit as a means to appropriate a greater portion of value created.

Smart interference management methods are required to enhance the throughput, coverage, and energy efficiency of a dense small cell network. In this paper, we propose a transmit power control for energy efficient operation of a dense small cell network. We cast the power control problem as a noncooperative game to satisfy the design requirement that small cells do not need any information exchange among them. We analyze the sufficient condition for the existence of a Nash equilibrium (NE) state of the proposed game. We also analyze that the NE state is unique by transforming the original nonlinear fractional programming problem into a nonlinear parametric programming problem. Through simulation studies, we verify our analysis results. In addition, we show that the proposed method achieves higher energy efficiency of a network and balances the energy efficiency among cells more evenly than the methods based on the AIMD (additive increase and multiplicative decrease) algorithm.