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The purpose of this paper is to analyze the influence of managerial discretion on the effectiveness of say on pay (SOP) as a governance mechanism. This goal covers an important gap since the issue of how effective SOP is in promoting more aligned compensation has proved somewhat controversial.

This empirical research opted for a panel methodology for the period 2003–2017, using a sample of large UK listed-companies (specifically, 3,445 firm-year observations). Data were obtained from several sources (Manifest Ltd, BoardEx, Worldscope, Factset Ownership and DataStream).

Results show that managerial discretion plays an important role in the effectiveness of SOP as a mechanism for increasing aligned CEO compensation. While individual discretion (latitude of objectives) exerts a negative effect, contextual discretion (latitude of action) increases SOP effectiveness. The global effect of managerial discretion is positive when there is high level of both individual and contextual discretion.

This empirical study provides evidence concerning an emerging topic in the literature regarding the impact of SOP as a shareholder activism mechanism of corporate governance on executive compensation. By taking managerial discretion into consideration as a relevant moderating factor, it also offers a better explanation of SOP effectiveness as a governance mechanism.

Safety analysis of hazardous processes requires the use of models to simulate dangerous transient conditions and to assess the availability of the relevant mitigating and protective systems. As this article shows, these two needs can be fairly well satisfied by the application of DYLAM, which is able to take into account the dynamic aspects of the interaction between time‐dependent operational variables, control and protection systems and human interventions at both nominal and failure conditions and, therefore, presents significant advantages with respect to the normally utilised fault trees/event trees.

Aims at developing vision‐based algorithms to improve efficiency and quality in agricultural applications. Two case studies are analyzed dealing with the harvest of radicchio and the post‐harvest of fennel, respectively.

Presents two visual algorithms, which are called the radicchio visual localization (RVL) and fennel visual identification (FVI). The RVL serves as a detection system of radicchio plants in the field for a robotic harvester. The FVI provides information to an automated cutting device to remove the parts of fennel unfit for the market, i.e. root and leaves. Laboratory and field experiments are described to validate our approach and asses the performance of our visual modules.

Both the visual systems presented showed to be effective in experimental trials, computational efficient, accurate, and robust to noises and lighting variations. Computer vision could be successfully adopted in the intelligent and automated production of fresh market vegetables to improve quality and efficiency.

Provides guidance in the development of vision‐based algorithms for agricultural applications.

Describes visual algorithms based on intelligent morphological and color filters which lends themselves very well to agricultural applications and allow robustness and real‐time performance.

This study explores what impact high-performance work practices (HPWP) – from the ability-motivation-opportunity (AMO) framework – might have on financial performance among family firms and examines the mediating role played by family-centered goals (FCGs).

The empirical approach is based on data collected from a sample of 339 Spanish small and medium-sized family enterprises operating in the industry and service sectors. To test the hypotheses, this paper applies a path analysis modeling tool to estimate both indirect and direct effects in mediator models.

The results indicate that the AMO framework has a significant impact on financial performance through the lens of FCGs. In addition, family businesses' keen concern to preserve family wealth influences the effectiveness of HPWPs, making firms more socioemotionally oriented at the expense of economic impact.

This paper underscores the importance of integrating family aspirations into strategic human resource management (HRM) design, emphasizing the significance of socioemotional wealth (SEW) preservation.

The findings offer practical insights for family managers, family owners and human resource (HR) practitioners, suggesting the need to align HR practices with family goals and to strategically balance socioemotional and financial wealth considerations. Family owners in key management positions must skillfully manage HR strategies in order to harmonize family and firm goals.

By examining the mediating effect of FCGs, this paper advances and extends SEW theory in the context of HRM by considering the relationships between HR practices and firm performance as a mixed gamble approach.

This paper aims to analyse whether and how different types of institutional investors influence shareholder proposal initiations, say-on-pay (SOP) votes and management compensation from a sustainability perspective.

Based on the principal-agent theory, the authors conduct a structured literature review and evaluate 40 empirical-quantitative studies on that topic.

The traditional assumption of homogeneity within institutional investors, which is in line with the principal–agent theory, has to be questioned. Only special types of investors (e.g. with long-term and non-financial orientations and active institutions) run an intensive monitoring strategy, and thus initiate shareholder proposals, discipline managers by higher SOP dissents and prevent excessive management compensation.

A detailed analysis of institutional investor types is needed in future empirical analyses. In view of the current debate on climate change policy, future research could analyse in more detail the impact of institutional investor types on proxy voting, SOP and (sustainable) management compensation.

With regard to the increased shareholder activism and regulations on SOP and management compensation since the 2007/2008 financial crisis, firms should be aware of the monitoring role of institutional investors and should analyse their specific ownership nature (time- and content-driven and as well as range of activity).

To the best of authors’ knowledge, this is the first literature review with a clear focus on institutional investor range and nature, shareholder proposal initiation, SOP and management compensation (reporting) from a sustainability viewpoint. The authors explain the main variables that have been included in research, stress the limitations of this work and offer useful recommendations for future research studies.

The purpose of this literature review is, first, to understand how employees with disabilities in the context of COVID-19 have been studied under the talent management (TM) approach; second, to explore what we know about the predictors and outcomes that have been linked to TM practices in that area; and third, to identify gaps in our understanding and provide insights for future research.

This paper presents a systematic literature review (SLR) based on 38 academic sources published in high-impact indexes from 2020 to 2023.

The existing research shows COVID-19 as a crucial context that led organizations to more precarious and segmented TM practices, which had negative consequences for employees with disabilities, both at the individual level (reduced satisfaction and income, and increased health issues) and the organizational level (increased unemployment, turnover and discrimination as well as declining performance and productivity).

This paper provides essential contributions to the field of TM in the relatively unexplored context of employees with disabilities since the emergence of COVID-19. Our literature review suggests there is significant room for developing and implementing adjusted TM strategies and practices to foster effective inclusiveness, accommodations and supportive work environments for employees with disabilities. From this evidence, a number of key avenues for future research and key implications for academics and practitioners are provided.

This study investigates the current trends in CEO compensation by applying a bibliometric technique from the Scopus database.

The bibliometric analysis examines CEO compensation trends through the Scopus database. Frequency analysis is conducted using Microsoft Excel, while data visualisation is performed using VOSviewer. Finally, citation metrics are carried out using Harzing's Publish or Perish.

The results reveal that research into CEO compensation has been consistently increasing since 1976. This study identifies the most popular publication trends, the most active institutions, the top funding institutions, annual publication growth, document and source type, publishers, subject area, author co-citations, highly cited articles, top publishing countries, and keyword co-occurrences. Notably, Arizona State University in the United States (US) is the leading institution with the most prominent publications on CEO compensation. The US is the most active country involved in CEO compensation research.

The current research only derived articles from the Scopus database. Nonetheless, the findings provide an in-depth comprehension of the meaning of “CEO compensation” and present the outline of the research trends on the concept, thus significantly facilitating further studies.

The findings can assist researchers in comprehending and classifying the drivers of CEO compensation previously identified and proven in past studies. Additionally, the findings also create opportunities for new researchers to study CEO compensation.

This study is among the pioneering research investigating CEO compensation-related publications and utilising the Scopus database from an international perspective. This study also offers a historical view of CEO remuneration, a summary of the most significant nations, journals, and writers on the topic, and an outline of how CEO remuneration studies have changed over time. These contributions will enable other researchers to focus on this subject.

This research aims to address the issue of safe navigation for autonomous vehicles in highly challenging outdoor environments. Indeed, robust navigation of autonomous mobile robots over long distances requires advanced perception means for terrain traversability assessment.

The use of visual systems may represent an efficient solution. This paper discusses recent findings in terrain traversability analysis from RGB-D images. In this context, the concept of point as described only by its Cartesian coordinates is reinterpreted in terms of local description. As a result, a novel descriptor for inferring the traversability of a terrain through its 3D representation, referred to as the unevenness point descriptor (UPD), is conceived. This descriptor features robustness and simplicity.

The UPD-based algorithm shows robust terrain perception capabilities in both indoor and outdoor environment. The algorithm is able to detect obstacles and terrain irregularities. The system performance is validated in field experiments in both indoor and outdoor environments.

The UPD enhances the interpretation of 3D scene to improve the ambient awareness of unmanned vehicles. The larger implications of this method reside in its applicability for path planning purposes.

This paper describes a visual algorithm for traversability assessment based on normal vectors analysis. The algorithm is simple and efficient providing fast real-time implementation, since the UPD does not require any data processing or previously generated digital elevation map to classify the scene. Moreover, it defines a local descriptor, which can be of general value for segmentation purposes of 3D point clouds and allows the underlining geometric pattern associated with each single 3D point to be fully captured and difficult scenarios to be correctly handled.

There is a growing need for safety analysis of chemical processes. Risk analysis techniques capable of evaluating dangerous transient conditions together with the reliability of the protective systems need to be devised. Analyses a flash separator used for the raw separation of a naphtha stream into its volatile and liquid constituents from the point of view of its safe operation by the use of the DYLAM methodology. Details a newly developed dynamic simulator of the transient behaviour of the separation operation. This simulator, coupled with the DYLAM algorithm, depicts at any moment the behaviour of the process stream in the drum and highlights the time thresholds which, if exceeded, may result in an accident owing to an uncontrolled evolution of the operation.

The purpose of this paper is to evaluate the locomotion performance of all‐terrain rovers employing rocker‐type suspension system.

In this paper, a robot with advanced mobility features is presented and its locomotion performance is evaluated, following an analytical approach via extensive simulations. The vehicle features an independently controlled four‐wheel‐drive/4‐wheel‐steer architecture and it also employs a passive rocker‐type suspension system that improves the ability to traverse uneven terrain. An overview of modeling techniques for rover‐like vehicles is introduced. First, a method for formulating a kinematic model of an articulated vehicle is presented. Next, a method for expressing a quasi‐static model of forces acting on the robot is described. A modified rocker‐type suspension is also proposed that enables wheel camber change, allowing each wheel to keep an upright posture as the suspension conforms to ground unevenness.

The proposed models can be used to assess the locomotion performance of a mobile robot on rough‐terrain for design, control and path planning purposes. The advantage of the rocker‐type suspension over conventional spring‐type counterparts is demonstrated. The variable camber suspension is shown to be effective in improving a robot's traction and climbing ability.

The paper can be of great value when studying and optimizing the locomotion performance of mobile robots on rough terrain. These models can be used as a basis for advanced design, control and motion planning.

The paper describes an analytical approach for the study of the mobility characteristics of vehicles endowed with articulated suspension systems. A variable camber mechanism is also presented.