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When a firm implements certain HR practices, different employees attribute different motives and intentions to the firm with regard to those HR practices. Research on HR attributions has made progress toward understanding the relationship between HR practices and employee outcomes from a process perspective. However, this research is still fragmented and lacks a systematic typology of the different types of HR attributions and a compelling organizing research framework. Furthermore, a number of research gaps and opportunities have emerged regarding the nomological net of employee HR attributions. To address the gaps and capitalize on the opportunities, the authors propose an overarching theory-driven multi-level framework that guides the choice of the antecedents and outcomes of employee HR attributions and explains their relationships along with both mediating and moderating mechanisms. Drawing on signaling theory embedded in the proposed framework, the authors identify and categorize various antecedents of employee HR attributions to explain their relationships. The authors also use several additional theories such as social exchange and the job demands–resources model included in their review to identify and categorize various outcomes of employee HR attributions across levels of analysis (i.e., individual, collective [team/group/unit], organization) and explain their relationships. In addition, the proposed framework explains how individual-level employee HR attributions emerge at the collective level and influence collective processes and outcomes. The authors end their review by pinpointing future research needs and discussing related future research directions.

The purpose of this paper is to explore the role of FinTech companies in SCF. The application of digital technology in supply chain activities has facilitated the evolution of supply chain finance (SCF) to a new level. However, how financial technology (FinTech) companies promote this evolution has not been thoroughly examined.

This research used the multiple-case study approach and social network analysis method to explore how FinTech companies influence SCF networks.

The results reveal that FinTech companies play the crucial role of a signaling intermediary by facilitating interactions among relevant parties, accelerating the flow of information and reducing information asymmetry arising from data smog. Moreover, FinTech companies make SCF information networks more equitable and promote the performance of SCF.

This study deepens the conversation at the nexus of signal theory and SCF and provides managerial implications for alleviating information asymmetry between borrowers and lenders to solve the difficulty and high-cost problems of obtaining financing of small- and medium-sized enterprises.

This study examines how service feedback and physician popularity affect physician demand in the context of virtual healthcare environment. Based on the signaling theory, the critical factor of environment uncertainty (i.e. disease risk) and its impact on physician demand is also investigated. Further, the research on the endogeneity of online reviews in healthcare is also examined in the current study.

A secondary data econometric analysis using 3-wave data sets of 823 physicians obtained from two PRWs (Healthgrades and Vitals) was conducted. The analysis was run using the difference-in-difference method to consider physician and website-specific effects.

The study's findings indicate that physician popularity has a stronger positive effect on physician demand compared with service feedback. Improving popularity leads to a relative increase in the number of appointments, which in turn enhance physician demand. Further, the impact of physician popularity on physician demand is positively mitigated by the disease risk.

The authors' research contributes to a better understanding of the signaling transmission mechanism in the online healthcare environment. Further, the findings provide practical implications for key stakeholders into how an efficient feedback and popularity mechanism can be built to enhance physician service outcomes in order to maximize the financial efficiency of physicians.

Although the existence of a close relationship between the areas of digital signal processing and time integration methodology is known, a systematic application of the concepts and methods of the first area to the second is missing. Such an approach is followed in this paper, arising from the fact that any time integration formula can be viewed as a digital filter of the applied excitation force, approximating as close as possible to the behaviour of a ‘prototype analogue filter’, which is in fact the semi discrete equations of motion of the system. This approach provides a universal framework for handling and analysing all various aspects of time integration formulae, such as analysis in the frequency domain, algebraic operations, accuracy and stability, aliasing, spurious oscillations generation, introduction of digital filters within the time integration formula, initial conditions handling and overshooting. Additionally it is shown that digital signal processing methods, such as pre‐ or post‐processing, time delays, etc. can be in certain cases a quite effective complement of the time integration scheme.

It is an effective approach to combine state signal processing with fuzzy mathematics for recognizing fuzziness and randomness clearly. This paper shows how the fuzzy membership functions are obtained from the result of signal processing of fault diagnosis in electrical equipment. So the properties of electrical equipment are revealed more thoroughly. Finally, the effectiveness of the method was proved by an example.

The purpose of this paper is to present a wireless sensor network system which can monitor human physiological signals of heartbeat rate and body temperature.

When physiological activity occurs, signals are generated. By measuring these signals, human activity can be monitored. With the help of a new network module named Waseda Hibikino Module‐2, which can transmit not only data, but also based of physiological signals, a wireless sensor network is established.

While measuring physiological signals, a stable system is required. From human body to the terminal in a hospital, data must be sent completely, especially for example the heartbeat rate. And a stable transmission protocol must be applied during this process of wireless transmission.

This technology represents a new real‐time monitoring system of human physiological signals. With single data processing, it can prevent different kind of situations before a bad status like a heart attack occurs.

The purpose of this paper is to study the effectiveness of multiple signals. Specifically, the paper investigates how the individual strength of a marketplace signal varies as a function of whether consumers are exposed to that signal alone or in combination with another signal.

The research uses experimental designs to empirically address the research questions. Hypotheses are formulated primarily based on signaling theory and these hypotheses are tested with laboratory experiments using real consumers.

The key finding is that a signal's stand‐alone credibility largely determines whether its individual strength would be diluted or augmented by the coexistence of another signal. Further, when signals with different stand‐alone strengths coexist, the individual strength of the weaker signal is higher than when that signal is present alone. These effects are observed in brick‐and‐mortar and online shopping media.

Past research reports mixed findings about whether the individual strength of a signal is diluted (dilution effect) or augmented (augmentation effect) by the presence of another signal. This research attempts to resolve this issue, for the first time, by demonstrating that whether dilution effect or augmentation effect occurs depends on the stand‐alone credibility of the individual signals in a mix.

This paper aims to examine the impact of a firm’s governance characteristics on the signals released during the initial public offering (IPO) process. This paper focuses on the role of the firm’s founder and how different signals convey or diminish agency issues of adverse selection and moral hazard prior to IPO. This study also explores the performance impact (underpricing) of firm founder involvement on signal effectiveness.

This paper examines 122 firms during the IPO process to determine the influence that the founder’s presence, position and ownership has on signaling behaviors as well as on firm performance.

The authors find that founders influence how often the firm files amendments to the prospectus. Furthermore, the results suggest that agency-reducing signals are complicated and can interact to enhance either positive or negative signals that impact underpricing at IPO.

The findings offer insights concerning how signalers can more effectively manage multiple signals that may interact negatively with firm characteristics. This study also provides contributions to both signaling and agency theories, discusses implications for practitioners and suggests opportunities for future research.

This has important implications for founders and managers of firms approaching IPO. The results suggest that founders are better off filing fewer addendums to their S-1 during the IPO process as this decreases underpricing. Underwriters and investors will be interested in these outcomes as identifying signals is an important factor when pricing firm valuation. Similarly, investors seek to identify firms that have a higher likelihood of underpricing because underpricing increases investor recognition and subsequent long-term impact on performance.

The findings offer insights concerning how signalers can more effectively manage multiple signals that may interact negatively with firm characteristics. The authors extend research in entrepreneurship and marketing by exploring indirect ways firms can communicate to investors using signaling, to increase value during the IPO process. This study provides contributions to both signaling and agency theories, discusses implications for practitioners and suggests opportunities for future research.