Search results

Competitiveness is an important personality trait that has been studied in various disciplines and has been shown to predict critical work outcomes at the individual level. Despite this, the role of competitiveness in groups and teams has received scant attention amongst organizational researchers. Aiming to promote future research on the role of competitiveness as both an adaptive and maladaptive trait – particularly in the context of work – the authors review competitiveness and its effects on individual and team stress and Well-Being, giving special attention to the processes of cohesion and conflict and situational moderators. The authors illustrate a dynamic multilevel model of individual and team difference factors, competitive processes, and individual and team outcomes to highlight competitiveness as a consequential occupational stressor. Furthermore, the authors discuss the feedback loops that inform the different factors, highlight important avenues for future research, and offer practical solutions for managers to reduce unhealthy competition.

This paper aims to investigate the influence of “BroncoCut-X” (copper core-ZnCu50 coating) electrode on the machining of Ti-3Al-2.5V in view of its extensive use in aerospace and medical applications. The machining parameters are selected as Spark-off Time (ST_off), Spark-on Time (ST_on), Wire-speed (S_w), Wire-Tension (WT) and Servo-Voltage (S_v) to explore the machining outcomes. The response characteristics are measured in terms of material removal rate (MRR), average kerf width (KW) and average-surface roughness (SA).

Taguchi’s approach is used to design the experiment. The “AC Progress V2 high precision CNC-WEDM” is used to conduct the experiments with ϕ 0.25 mm diameter wire electrode. The machining performance characteristics are examined using main effect plots and analysis of variance. The grey-relation analysis and fuzzy interference system techniques have been developed to combine (called grey-fuzzy reasoning grade) the experimental response while Rao-Algorithm is used to calculate the optimal performance.

The hybrid optimization result is obtained as ST_off = 50µs, ST_on = 105µs, S_w = 7 m/min, WT = 12N and S_v=20V. Additionally, the result is compared with the firefly algorithm and improved gray-wolf optimizer to check the efficacy of the intended approach. The confirmatory test has been further conducted to verify optimization results and recorded 8.14% overall machinability enhancement. Moreover, the scanning electron microscopy analysis further demonstrated effectiveness in the WEDMed surface with a maximum 4.32 µm recast layer.

The adopted methodology helped to attain the highest machinability level. To the best of the authors’ knowledge, this work is the first investigation within the considered parametric range and adopted optimization technique for Ti-3Al-2.5V using the wire-electro discharge machining.

There are often relational interactions in teams that lead to and drive the spread of work engagement. Despite the potential social impacts on work engagement, such as coworker support and organizational citizenship behaviors within teams, they have rarely been studied from a social perspective using social network analysis (SNA). This review draws on the crossover model and conservation of resources theory to suggest that the effects of social diffusion and the exchange of resources can impact Well-Being, specifically work engagement, in teams and that SNA can help measure those social interactions. Linking several network concepts – closeness centrality, density, degree centrality, and tie strength – to work engagement propositions related to the spread of work engagement as well as the number and quality of network ties, this review elucidates the potential for integrating SNA methodology to the field of Well-Being for teams.

Business schools are vital in promoting responsible management (RM) – a management grounded in ethics and values beneficial to a wide array of stakeholders and overall society. Nevertheless, due to deeply embedded institutional modernistic dynamics and paradigms, RM is, despite its importance, repeatedly marginalised in business school curricula. If students are to engage with RM thinking, then its occlusion represents a pressing issue. Drawing on the United Kingdom (UK) business school context, this paper aims to examine this issue through a framework of institutional theory and consider the role played by (modernistic) institutional accreditation and research assessment processes in marginalisation of RM.

This study used an exploratory qualitative research method. Data were collected from 17 RM expert participants from 15 UK business schools that were signatories to the United Nations Principles for Responsible Management Education through semi-structured in-depth interviews and analysed using the six phases of Braun and Clarke’s thematic analysis.

The study identifies a potent institutional isomorphic amalgam resulting in conservative impacts for RM. This dynamic is termed multiple institutional isomorphic marginalisation (MIIM) – whereby a given domain is occluded and displaced by hegemonic institutional pressures. In RM’s case, MIIM operates through accreditation-driven modernistic-style curricula. This leads business schools to a predilection towards “mainstream” representations of subject areas and a focus on mechanistic research exercises. Consequently, this privileges certain activities over RM development with a range of potential negative effects, including social impacts.

This study fills an important gap concerning the need for a critical, in-depth exploration of the role that international accreditation frameworks and national institutional academic research assessment processes such as the Research Excellence Framework in the UK play in affecting the possible growth and influence of RM. In addition, it uses heterotopia as a conceptual lens to reveal the institutional “mask” of responsibility predominantly at play in the UK business school context, and offers alternative pathways for RM careers.

This chapter offers an insightful exploration into the burgeoning field of eco-tourism, focusing on the expectations and motivations of tourists gravitating towards green destinations. Eco-tourism, while not a novel concept, has seen a significant resurgence in interest over the past few decades, with its roots tracing back to the wildlife reserves of Kenya in the 1960s. The narrative then transitions to an in-depth examination of what constitutes a green destination, emphasizing its foundational pillars, such as environmental conservation, sustainable tourism practices, active community engagement, educational initiatives, and the pursuit of certifications that affirm their commitment to sustainability. A central theme of the chapter is the nuanced expectations of eco-tourists who are increasingly seeking destinations that not only offer the tranquillity and beauty of nature but also adhere to sustainability principles and cultural authenticity. These expectations are intricately linked to the motivations driving tourists towards green destinations, including the desire to connect with nature, contribute to conservation efforts, and engage in travel practices that are both responsible and enriching. By weaving together theoretical insights and empirical evidence, the chapter provides a comprehensive understanding of the dynamic interplay between the demand for green destinations and the supply of sustainable tourism experiences, ultimately highlighting the critical role of eco-tourism in paving the way for a more sustainable and ethical travel industry.

The purpose of the current study is development of effective and fast algorithm for optimization the arrangement of temporary fasteners during aircraft assembly.

Combinatorial nature, uncertain input data, sensitivity to mechanical properties and geometric tolerances are the specific features of the fastening optimization problem. These characteristics make the problem-solving by standard methods very resource-intensive because the calculation of the objective function requires multiple solution of contact problems. The work provides an extended description of the geodesic algorithm (GA) which is a novel non-iterative optimization approach avoiding multiple objective function calculations.

The GA makes it possible to optimize the arrangement of temporary fasteners during the different stages of the assembly process. The objective functions for the optimization are number of installed fasteners and quality of contact between joined parts. The mentioned properties of the GA also make it possible to introduce an automatic procedure for optimizing fastener arrangement into everyday practice of aircraft manufacturing.

The algorithm has been applied to optimization of the assembly process in Airbus company.

Performance of the GA is orders of magnitude greater than standard optimization algorithms while maintaining the quality of results. The use of the assembly process specifics is the main limitation of the GA, because it cannot be automatically applied to optimization problems in other areas. High speed of work and quality of the results make it possible to use it for real optimization problems on assembly line in the production of commercial airliners.

The impact of dependence on self-care on people’s lives is very significant, with consequences for the person and their caregivers. The purpose of this study is to map the evidence on the factors that influence the empowerment of the person dependent on self-care on returning home.

Scoping review according to the criteria proposed by the Joanna Briggs Institute: population (people with a dependence on self-care), concept (factors that influence training) and context (return home after hospitalization in a medical-surgical context). The research was carried out from March 1 to April 30, 2022, in the databases CINAHL and MEDLINE (via EBSCO), Scielo, LILACS, Cuiden and MedicLatina; Gray literature searched RCAAP, DART-Europe and OpenGrey. Studies published in Portuguese, Spanish and English were included, with no time limit.

One hundred and eighty-one articles were obtained, which, after analysis according to the criteria, resulted in seven studies included for review, ranging from 2007 to 2021, with a level of evidence between 2. c and 4. a (according to Joanna Briggs Institute), and two thematic areas/four categories emerging.

The need for information and training, the relationship and proximity with the health-care team, the design of nursing care targeted at the person’s level of dependence, education, gender, type of surgical intervention and postoperative period, physical space and lack of privacy and audiovisual media.

The perception of these factors proves to be important in the person’s training process, with the nurse’s role being highlighted due to their emphasis on the transition home.

In the accounting field, sustainability accounting (SA) has evolved as a valuable tool that links improvements in environmental, social and governance issues to financial performance. This study aims to examine the structure and evolution of SA research, map the state of knowledge and analyse the literature trends and gaps.

The study adopts a bibliometric review technique with data sourced from the Scopus database. A total of 7,049 extant literature spanning from 1982 to 2022 was analysed using the VOSviewer software.

The authors find a significant growth in the number of publications on SA research, primarily driven by collaboration among researchers from Europe and America. The analysis highlights emerging themes, structure and discusses in detail the changing phases of SA research over the past four decades while highlighting key events that have impacted the development of SA research. Furthermore, the dominant theories used by extant studies are discussed and potential avenues for future research are provided. The authors draw the attention of the research community to the dominant authors, the most cited articles, prominent publication outlets and countries advancing research in this field.

This study advances knowledge on SA research by providing a retrospective assessment of the state of knowledge in the field while highlighting avenues for future research.

Companies are increasingly appointing a Chief Sustainability Officer (CSO) to anchor the need to highlight climate change at the senior management level. This study aims to examine how CSO power and sustainability-based compensation influence climate reporting and carbon performance.

Using one of the largest data sets to date, consisting of 18,834 company years through the author’s observations, spanning an 11-year period (2011–2021) in 33 countries. This paper used quantitative methods – specifically, ordinal logistic regression estimation. This paper measures the level of climate change disclosure based on the carbon disclosure leadership methodology. Carbon performance is based on the intensity of carbon emissions (Scope 1, Scope 2), which is a quantitative and relatively more objective measure.

The results suggest that climate change disclosure continued to increase and the carbon emissions intensity of the companies in this study gradually decreased over the sample period. This paper finds that the presence of the CSO within the top management team has a positive and significant influence on the level of information on climate change of the companies in the sample. This finding confirms the idea that the managerial capacity of CSOs motivates the disclosure of climate change. The empirical results confirm that there are differences in the role that the CSO and sustainability-based compensation play in influencing the quality of climate information disclosure in developed and developing countries.

The recourse on a mixed theoretical framework, which highlights upper echelons theory, argues the understanding of the role of CSOs in explaining the relationship between climate change disclosure–carbon performance relationship. The novelty of the study lies in the approaches adopted to describe the quality of climate change disclosure. To control for endogeneity, this paper uses a difference-in-difference analysis by adding a firm to the Morgan Stanley Capital International index as an exogenous shock.