Search results

The purpose of this study is to investigate how the emotion expressed by a fictitious proposer influences the responder’s decision to accept or reject a severely unfair deal, represented by the splitting of a predetermined sum of money between the two players during an ultimatum game (UG). Rejection leads both parts to dissipate that sum. Critically the authors consider the situation in which both players have the best alternative to negotiation agreement (BATNA), which simulates a backup plan to rely on in case of no agreement.

The participants played a UG and, to foster the ecological validity of the paradigm, the parts could both rely on a more or less generous BATNA. The critical manipulation was the emotion expressed by the proposer while their BATNA was either hidden (Exp. 1) or communicated (Exp. 2).

The proposer’s emotions influenced participants’ own emotions, affected their social evaluations about the proposer, the desire for future interactions with the proposer and were used to infer the proposer’s BATNA when it was unknown. In this latter case, proposers’ emotions and in particular his/her happiness, decreased dramatically the participants’ tendency to reject even severely unfair offers.

Past research on UG has been predominantly aimed to investigate the effect of responders’ emotions or the effects of responders’ emotions on the proposer, devoting little attention to how the critical responder’s acceptance/rejection decision might be affected by the proposer’s emotion. Especially in the ecological situation where the parts have a BATNA in case of non-agreement.

In recent years, owing to the rapidly increasing labor costs, the demand for robots in daily services and industrial operations has been increased significantly. For further applications and human–robot interaction in an unstructured open environment, fast and accurate tracking and strong disturbance rejection ability are required. However, utilizing a conventional controller can make it difficult for the robot to meet these demands, and when a robot is required to perform at a high-speed and large range of motion, conventional controllers may not perform effectively or even lead to the instability.

The main idea is to develop the control law by combining the SMC feedback with the ADRC control architecture to improve the robustness and control quality of a conventional SMC controller. The problem is formulated and solved in the framework of ADRC. For better estimation and control performance, a generalized proportional integral observer (GPIO) technique is employed to estimate and compensate for unmodeled dynamics and other unknown time-varying disturbances. And benefiting from the usage of GPIO, a new SMC law can be designed by synthesizing the estimation and its history.

The employed methodology introduced a significant improvement in handling the uncertainties of the system parameters without compromising the nominal system control quality and intuitiveness of the conventional ADRC design. First, the proposed method combines the advantages of the ADRC and SMC method, which achieved the best tracking performance among these controllers. Second, the proposed controller is sufficiently robust to various disturbances and results in smaller tracking errors. Third, the proposed control method is insensitive to control parameters which indicates a good application potential.

High-performance robot tracking control is the basis for further robot applications in open environments and human–robot interfaces, which require high tracking accuracy and strong disturbance rejection. However, both the varied dynamics of the system and rapidly changing nonlinear coupling characteristic significantly increase the control difficulty. The proposed method gives a new replacement of PID controller in robot systems, which does not require an accurate dynamic system model, is insensitive to control parameters and can perform promisingly for response rapidity and steady-state accuracy, as well as in the presence of strong unknown disturbances.

This study aims to investigate the role of relational asymmetries in influencing the coping strategies adopted by frontline workers to deal with the policy–client role conflict.

A comparative analysis of three different services highlights the role of the service relationships characteristics in explaining similarities and differences in the strategies adopted by street-level bureaucrats (SLBs). The research is based on the secondary analysis of three case studies conducted in Italy: the reception system for homeless people, the job brokerage service in the public employment service and the dispute settlement procedure in the labour inspectorate.

The results underline the interaction between the characteristics of the service relationship and the different coping strategies adopted to deal with the policy–client conflict.

The contribution of this study is threefold. Firstly, the authors focus on the influence of the characteristics of the service relationship in terms of agency resources over SLBs’ strategies to face with users’ expectations. Secondly, the authors intend to discuss these issues analysing SLBs not only as agents with individual preferences. Thirdly, the research design allows the authors to return to the street-level bureaucracy theory its comparative essence, proposing a comparative strategy with an explorative intent.

Jane Pollak is a Westport, Connecticut, artist who started her career as a high school art teacher. She has now branched out into public speaking, is the author of two books, and embraces the life of entrepreneur as a sole proprietor of her rapidly expanding business of decorating eggs. For Jane, her life path has been one of hope and unexpected personal and business achievements.

This paper aims to shed light on the perception of the consequences of implementing home teleworking (TW) for employers and employees amid the pandemic. By doing so, the research analyzes the factors that explain employers' and employees' perceptions of home TW and the symmetry of their impact on its acceptance and rejection.

The analysis is done over the survey “Trends in the digital society during SARS-COV-2 crisis in Spain” by the Spanish “Centro de Investigaciones Sociológicas.” The explanatory variables were selected and classified using the well-known taxonomy of Baruch and Nicholson (i.e. individual factors, family/home, organizational and job-related).

The global judgment of HTW is positive, but factors such as gender, age, children in care or being an employer nuance that perception. While some factors, such as the attitude of employees toward information communication technologies (ICTs), perceived productivity or the distance from home to work, have a significant link with both positive and negative perceptions of HTW, other factors can only explain either positive or negative perceptions. Likewise, the authors observed that being female and having children on care had a detrimental influence on opinions about HTW.

A clearer regulation of TW is needed to prevent imbalances in rights and obligations between companies and employees. The authors also highlight the potentially favorable effects of telecommuting on mitigating depopulation in rural areas.

The authors have also measured not only the significance of assessed factors on the overall judgment of HTW for firms and workers but also whether these factors impact acceptance and resistance attitudes toward TW symmetrically.

The purpose of this paper is to present a research method which offers insights into the factors which affect the optimal use and implementation of telecare, or which may lead to its rejection by older people with support needs – factors pertinent to those involved in the design and delivery of both telecare research studies and of services.

The methodology outlined, influenced by Chicago School and Science and Technology Studies, emphasises the importance of context when examining social phenomena, such as the use of technology. The multi-method approach identified key patterns which provide insights into how telecare was used by a sample of older adults, including information on its suboptimal use and rejection.

The study of telecare use in real-life situations – and the investigation of other complex social interventions – requires an approach which fully considers the importance of context in explaining social phenomena. The main value of the method and findings lies in the insights offered to designers of larger studies which seek to generalise results, including telecare randomised control trials, as well as for those involved in the delivery of telecare services to achieve optimal adoption and use.

The study methods described combined ethnographic, longitudinal and qualitative methodologies and creative research tools in an innovative way to allow exploration of how context affects the uptake and use of telecare.

People seem to function according to different models, which implies that in business and social sciences, heterogeneity is a rule rather than an exception. Researchers can investigate such heterogeneity through multigroup analysis (MGA). In the context of partial least squares path modeling (PLS-PM), MGA is currently applied to perform multiple comparisons of parameters across groups. However, this approach has significant drawbacks: first, the whole model is not considered when comparing groups, and second, the family-wise error rate is higher than the predefined significance level when the groups are indeed homogenous, leading to incorrect conclusions. Against this background, the purpose of this paper is to present and validate new MGA tests, which are applicable in the context of PLS-PM, and to compare their efficacy to existing approaches.

The authors propose two tests that adopt the squared Euclidean distance and the geodesic distance to compare the model-implied indicator correlation matrix across groups. The authors employ permutation to obtain the corresponding reference distribution to draw statistical inference about group differences. A Monte Carlo simulation provides insights into the sensitivity and specificity of both permutation tests and their performance, in comparison to existing approaches.

Both proposed tests provide a considerable degree of statistical power. However, the test based on the geodesic distance outperforms the test based on the squared Euclidean distance in this regard. Moreover, both proposed tests lead to rejection rates close to the predefined significance level in the case of no group differences. Hence, our proposed tests are more reliable than an uncontrolled repeated comparison approach.

Current guidelines on MGA in the context of PLS-PM should be extended by applying the proposed tests in an early phase of the analysis. Beyond our initial insights, more research is required to assess the performance of the proposed tests in different situations.

This paper contributes to the existing PLS-PM literature by proposing two new tests to assess multigroup differences. For the first time, this allows researchers to statistically compare a whole model across groups by applying a single statistical test.