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Although manufacturer-initiated rewards are widely used to secure distributors’ compliance, the spillover effect on unrewarded distributors (i.e. observers) in the same distribution channel is under-researched. Using insights from social learning theory, this paper aims to investigate how manufacturer-initiated rewards affect observers’ expectation of reward and shape observers’ compliance toward the manufacturer. Furthermore, this paper explores how such effects are contingent upon distributor relationship features.

To test the hypotheses, hierarchical multiple regression and bootstrapping analyses were performed using survey data from 280 Chinese distributors.

The magnitude of a manufacturer-initiated reward to a distributor stimulates expectation of reward among observers, which enhances compliance; observers’ expectation of reward mediates the impact of reward magnitude on compliance. Moreover, network centrality (of the rewarded peer) negatively moderates the positive impact of reward magnitude on observers’ expectation of reward, whereas observers’ dependence (on the manufacturer) positively moderates this dynamic.

Manufacturers should pay attention to the spillover effects of rewards. Overall, they should use rewards of appropriate magnitude to show willingness to recognize outstanding distributors. This will inspire unrewarded distributors, which will then be more compliant. Furthermore, manufacturers should know that specific types of distributor relationship features may significantly vary the spillover effects.

This study illuminates the spillover effects of manufacturer-initiated reward by opening the “black box” of the link between reward magnitude and observers’ compliance and by specifying the effects’ boundary conditions.

Considerable research has examined the negative consequences of customer incivility on employees (e.g. turnover intention and sabotage behavior toward the customer). However, there is scant research investigating how other customers, as observers, may react to incivility. This knowledge gap should be filled because hospitality services are often consumed in the public setting where customers can observe and be influenced by each other. The purpose of this study is to fill this gap by examining observing customers’ willingness to revisit the company following customer incivility.

Participants are American consumers recruited from a crowdsourced online panel. Two scenario-based experimental studies in the restaurant setting are conducted. Customer incivility and relationship norms (communal versus exchange) are manipulated, while relationship closeness is measured.

Study 1 shows that following fellow customer incivility (vs civility), observing customers’ intention to revisit the company was lower when they perceive a distant relationship with the employee. This intention did not differ regardless of incivility and civility when they perceive a close relationship with the employee. Study 2 shows that when observing customers perceive a communal relationship with the employee, their revisit intention was even higher following customer incivility (vs civility).

Hospitality managers need to train employees to identify signs of customer incivility and assume appropriate actions to reduce the negative consequences on observers. Hospitality managers should also communicate their expectations for respectful customer behaviors through an organization-wide campaign. Finally, hospitality businesses should foster a close relationship with their customers, particularly a communal relationship to offset the negative consequences of customer incivility on observers.

This study adds to previous research by challenging the universally negative view of customer incivility. The authors do so by examining the moderating effects of relationship closeness and norms in observer reactions to customer incivility. This study contributes to previous research drawing on script theory and deontic justice theory.

This paper deals with the problem of rotor speed and position detection in sensorless permanent magnet synchronous motor (PMSM) drives. A concept based on detecting the back EMF induced in stator windings was developed and modified. A general structure of an adaptive observer with the proportional‐integral function of a corrector is introduced. The non‐stationary character of the observer presented in this paper requires an adaptive change of observer corrector settings. Such observer structure was implemented on a DSP system and verified experimentally. Both simulation and experimental results show good properties of the proposed observer structure.

The purpose of this paper is to propose a decentralized observer for large‐scale singular systems.

In this paper, the authors investigate the problem of observers' design for large‐scale singular systems. The proposed decentralized observer is based on a new parameterization of the generalized Sylvester equation solution. The considered system is partitioned into small‐sizes interconnected subsystems with unknown interconnections.

A decentralized observer based on new parameterization of generalized Sylvester equation. The performance of the proposed approach is illustrated by a numerical example.

The proposed approach unites the full‐order, the reduced‐order and the minimal order observer design for large‐scale system. The conditions of the existence of this observer are given in the linear matrix inequalities (LMI) form.

To reflect on the matter of self‐consciousness.

The purpose is achieved through the process of answering four questions presented to me by Heinz von Foerster in the course of our many conversations.

It is not possible to understand the nature of self‐consciousness without understanding the operation of human beings as living systems that exist as emotional languaging living systems: self‐consciousness is a manner of living.

We human beings can become more aware of our responsibility in the design of robots that imitate us.

Reflects on what makes us humans special, on subjective experience, and on the world we bring forth.

Sensorless online measurements, application of variable speed drives has been given a great attention, especially over the past few years. In most of the previous literates dealing with permanent magnet synchronous motor (PMSM) drives, the combination of inter-sampled behavior with high gain design approach has not been discussed yet. This paper aims to discuss this feature in-depth.

The study contains a different approach for an observer running with surface-mounted permanent magnet synchronous machine drives to implement sensorless control. Design of sampled data observer methodology for one kind of AC machine having non-linear model and backed by an elegant formal stability convergence analysis using the tools of Lyapunov stability techniques was highly recommended in scientific contributions, and it is yet needed to be solved.

In this study, a solution to observation problem is covered and developed by combining ideas from the high-gain design approach and inter-sample predictor based on stator voltage measurements. The output state currents are accessible only at the sampling instant to solve the problem of states observation at continuous-time mode. This allows to reducing the usage of online appliances, improving reliability of control design and saving costs.

The proposed observer is capable of guaranteeing an acceptable closed loop dynamic response over a wide range of operation region and industrial process for random initial conditions.

The output state predictor has been interred in constructing the innovation correct term to prove the robustness of the proposed observer against attenuated sampling interval. To validate the theoretical results introduced by the main fundamental theorem and prove the observer stability convergence, the proposed observer is demonstrated through a sample study application to variable speed permanent magnet synchronous machine drive.

The purpose of this paper is to investigate the effect of complete versus partial observations of service failure and recovery. This study also aims at investigating the effect of observing customers’ need for cognitive closure and types of compensation that a service provider offers.

Two experiments are conducted to test the research hypotheses. The authors use scenarios describing failure and recovery encounters that occur to a target customer at restaurant settings, and through manipulation of complete versus partial observations, they investigate observers’ attitudes and behavioral intentions.

The results suggest that customers with a partial observation are less forgiving than those with a complete observation. In particular, the former sympathized more with a target customer, blamed a service provider more and a target customer less and had lower repurchase intentions than the latter. The authors find that the need for cognitive closure heightens this tendency following a partial observation of service failure. They also find that following a complete (versus partial) observation, observers reacted more favorably to service recovery when it included (versus did not include) monetary compensation.

This research studies the effect of locus of causality following a partial versus complete observation. Future research could further examine the effect of stability and controllability. Also, the authors examined the effect of the need for cognitive closure on evaluations of service failure following a partial versus complete observation. Future research could examine the effect of some other individual difference variables.

The results offer some measures to be taken by practitioners. In particular, practitioners are advised to not offer monetary compensation when majority of observers have had a partial observation. Moreover, they are advised to offer some explanation in a timely and effective manner to ensure observers who are under the negative impact of a partial observation have some information so that they revisit their service evaluations.

The literature assumes that in failure and recovery incidents, all observing customers would know the entire story. This research challenges this assumption and highlights the key role of observation type (partial versus complete observation). Further, this research examines the effect of the need for cognitive closure on service evaluations following a partial versus complete observation. The current research finds that supposedly favorable measures by a firm (i.e. monetary compensation) may in fact backfire when a partial observation is at play.

Many companies in industry concentrate a lot of energy on drawing up training programmes which tackle the difficult problem of making workers conscious of the dangers confronting them in their place of work. Many programmes include aspects of accident prevention dramatically illustrated by “what happens when …” situations, appeals to safety observers to drive home to fellow‐workers the necessity of wearing goggles, ear plugs, safety shoes etc. In other words, the primary task of the safety observer is to observe skilfully and prevent unsafe acts which could endanger health and safety at work. How often, however, is the safety observer himself fully aware of the role which he has accepted? How beneficial can role‐awareness be in carrying out safety training measures at shop‐floor level? Finding an answer to this question was, for us, the basic part of a new approach to safety training which was to be tested with a group of safety observers in one of our production plants.

To meet the need of reducing the cost of industrial systems, sensorless control applications on electrical machines are increasing day by day. This paper aims to improve the performance of the sensorless induction motor control system. To do this, the speed observer is designed based on the combination of the sliding mode and the fractional order integral.

Super-twisting sliding mode (STSM) and Grünwald–Letnikov approach are used on the proposed observer. The stability of the proposed observer is verified by using Lyapunov method. Then, the observer coefficients are optimized for minimizing the steady-state error and chattering amplitude. The optimum coefficients (c₁, c₂, k_i and λ) are obtained by using response surface method. To verify the effectiveness of proposed observer, a large number of experiments are performed for different operation conditions, such as different speeds (500, 1,000 and 1,500 rpm) and loads (100 and 50 per cent loads). Parameter uncertainties (rotor inertia J and friction factor F) are tested to prove the robustness of the proposed method. All these operation conditions are applied for both proportional integral (PI) and fractional order STSM (FOSTSM) observers and their performances are compared.

The observer model is tested with optimum coefficients to validate the proposed observer effectiveness. At the beginning, the motor is started without load. When it reaches reference speed, the motor is loaded. Estimated speed and actual speed trends are compared. The results are presented in tables and figures. As a result, the FOSTSM observer has less steady-state error than the PI observer for all operation conditions. However, chattering amplitudes are lower in some operation conditions. In addition, the proposed observer shows more robustness against the parameter changes than the PI observer.

The proposed FOSTSM observer can be applied easily for industrial variable speed drive systems which are using induction motor to improve the performance and stability.

The robustness of the STSM and the memory-intensive structure of the fractional order integral are combined to form a robust and flexible observer. This paper grants the lower steady-state error and chattering amplitude for sensorless speed control of the induction motor in different speed and load operation conditions. In addition, the proposed observer shows high robustness against the parameter uncertainties.

The purpose of this paper is to present an actuator fault detection method for unmanned aerial vehicles (UAVs) based on interval observer and extended state observer.

The proposed algorithm has very little model dependency. Therefore, a six-degree-of-freedom linear equation of UAVs is first established, and then, combined with actuator failure and external disturbances in flight control, a steering gear model with actuator failure (such as stuck bias and invalidation) is designed. Meanwhile, an extended state observer is designed for fault detection. Moreover, a fault detection scheme based on interval observer is designed by combining fault and disturbances.

The method is testified on the extended state observer and the interval observer under the failure of the steering gear and bounded disturbances. The simulation results show that the two types of fault detection schemes designed can successfully detect various types of faults and have high sensitivity.

This research paper studies the failure detection scheme of the UAVs’ actuator. The fault detection scheme in this paper has better performance on actuator faults and bounded disturbances than using regular fault detection schemes.