Search results

This study aims to examine configurations of person-centered psychological change during organizational restructuring and downsizing in a public sector setting. Drawing on a social cognitive framework of organizational change the authors explore and identify the existence of different groups of employees who demonstrate varied responses (on commitment, engagement and anxiety) to restructuring and downsizing.

Surveys were collected from employees in three longitudinal waves (Time 1 N = 253; Time 2 N = 107; Time 3 N = 93, twelve months apart) at a UK public sector organization shortly before, during and after restructuring and downsizing.

Three classes of response emerged based on levels of and change in anxiety, organizational commitment and work engagement: a positive “Flourishers” profile was identified along with two relatively negative response profiles, labeled as “Recoverers” and “Ambivalents”. Higher levels of job control accounted for membership of the more positive response profile; higher structural uncertainty predicted membership of the most negative response group.

Using a person-centered approach, the authors form an understanding of different types of employee responses to downsizing; along with potential factors that help explain why groups of employees may exhibit certain psychological response patterns and may need to be managed differently during change. Thus, this approach provides greater understanding to researchers and managers of the varied impact that restructuring/downsizing has on the workforce.

To date there has been little research exploring employee responses to organizational restructuring and downsizing that has attempted to take a person-centered approach, which assumes population heterogeneity. Unlike variable centered approaches, this unique approach helps identify different patterns of employee responses to restructuring and downsizing.

Work-life flexibility policies (e.g., flextime, telework, part-time, right-to-disconnect, and leaves) are increasingly important to employers as productivity and well-being strategies. However, policies have not lived up to their potential. In this chapter, the authors argue for increased research attention to implementation and work-life intersectionality considerations influencing effectiveness. Drawing on a typology that conceptualizes flexibility policies as offering employees control across five dimensions of the work role boundary (temporal, spatial, size, permeability, and continuity), the authors develop a model identifying the multilevel moderators and mechanisms of boundary control shaping relationships between using flexibility and work and home performance. Next, the authors review this model with an intersectional lens. The authors direct scholars’ attention to growing workforce diversity and increased variation in flexibility policy experiences, particularly for individuals with higher work-life intersectionality, which is defined as having multiple intersecting identities (e.g., gender, caregiving, and race), that are stigmatized, and link to having less access to and/or benefits from societal resources to support managing the work-life interface in a social context. Such an intersectional focus would address the important need to shift work-life and flexibility research from variable to person-centered approaches. The authors identify six research considerations on work-life intersectionality in order to illuminate how traditionally assumed work-life relationships need to be revisited to address growing variation in: access, needs, and preferences for work-life flexibility; work and nonwork experiences; and benefits from using flexibility policies. The authors hope that this chapter will spur a conversation on how the work-life interface and flexibility policy processes and outcomes may increasingly differ for individuals with higher work-life intersectionality compared to those with lower work-life intersectionality in the context of organizational and social systems that may perpetuate growing work-life and job inequality.

This research examined the presence of career orientation profiles by investigating how young workers combined protean career orientation attitudes, motivation to learn to develop one's career and an optimistic future perspective on their career. It explored how a differentiated endorsement of these attitudes and motivation (i.e. career orientation profiles) were associated with the adoption of multiple career-enhancing behaviors, namely proactive career behaviors (i.e. career planning, networking and skill development) and learning behaviors with technologies.

Latent profile analysis was conducted among young individuals starting their career (N = 767) and found four distinct profiles.

The first profile revealed that 17.2% of workers in this sample were displaying low levels in protean career orientation, motivation to learn and optimistic future time perspective (profile 1). Two differentiated profiles showed either low levels of protean career orientation and high levels of motivation to learn (profile 2) or high levels of protean career attitudes and low levels of motivation to learn (profile 3). These profiles presented an average level of future time perspective and represented 13.8 and 40.6% of the sample. Finally, 28.4% of the sample showed high levels on all these variables (profile 4).

Only young workers who showed high levels on all these indicators also presented high levels of proactive behaviors and learning with technologies. The other three profiles were associated with suboptimal levels on these outcomes. Taken together, these results offer new insights into the psychological state of mind of workers most adapted to succeed in a modern career.

This study aims to identify the groups of value cocreators in the context of social media in the retail banking industry and resources that predict customer membership among different groups of value cocreators.

This study reviewed the literature and developed measurement instruments for the constructs of interest. Data were collected from 406 customers in an emerging market in 2019 and analyzed using latent profile analysis.

This study identified three profiles of value cocreators on social media based on the actual practices of resource integration that enliven value cocreation. Second, this study explains the differences in the performance of resource integration practices to cocreate by the types of resources that customers integrate into social media. Third, this study fills the need for knowledge of value cocreation in different contexts and industries (e.g. banks).

This study analytically relates a set of resources to the variety and intensity of the value cocreation practices adopted by bank customers in interactive environments. The emphasis on how value cocreation practices in online environments combined with customer resources (e.g., a person-centered approach) allows to identify unique profiles of value cocreators on social media. The findings inform managers of the profiles of cocreators, which customers are more attractive as value cocreators on social media, and which resources managers should help customers develop to increase cocreation on social media.

The purpose of this paper is to assess the feasibility of analytical models, specifically the radial basis function method, Akbari–Ganji method and Gaussian method, in conjunction with the finite element method. The aim is to examine the impact of processing parameters on temperature history.

Through analytical investigation and finite element simulation, this research examines the influence of processing parameters on temperature history. Simufact software with a thermomechanical approach was used for finite element simulation, while radial basis function, Akbari–Ganji and Gaussian methods were used for analytical modeling to solve the heat transfer differential equation.

The accuracy of both finite element and analytical methods was validated with about 90%. The findings revealed direct relationships between thermal conductivity (from 100 to 200), laser power (from 400 to 800 W), heat source depth (from 0.35 to 0.75) and power absorption coefficient (from 0.4 to 0.8). Increasing the values of these parameters led to higher temperature history. On the other hand, density (from 7,600 to 8,200), emission coefficient (from 0.5 to 0.7) and convective heat transfer (from 35 to 90) exhibited an inverse relationship with temperature history.

The application of analytical modeling, particularly the utilization of the Akbari–Ganji, radial basis functions and Gaussian methods, showcases an innovative approach to studying directed energy deposition. This analytical investigation offers an alternative to relying solely on experimental procedures, potentially saving time and resources in the optimization of DED processes.

The purpose of this paper is to present an improved model based on center potential instead of surface potential which is physically more relevant and accurate. Also, additional analytic insights have been provided to make the model independent and robust so that it can be extended to a full range compact model.

The design methodology used is center potential based analytical modeling using Psuedo-2D Poisson equation, with ingeniously developed boundary conditions, which help achieve reasonably accurate results. Also, the depletion width calculation has been suitably remodeled, to account for proper physical insights and accuracy.

The proposed model has considerable accuracy and is able to correctly predict most of the physical phenomena occurring inside the broken gate Tunnel FET structure. Also, a good match has been observed between the modeled data and the simulation results. I_on/I_ambipolar ratio of 10^(−8) has been achieved which is quintessential for low power SOCs.

The modeling approach used is different from the previously used techniques and uses indigenous boundary conditions. Also, the current model developed has been significantly altered, using very simple but intuitive technique instead of complex mathematical approach.

Lean healthcare (LHC) applies lean philosophy in the healthcare sector to promote a culture of continuous improvement through the elimination of non-value-added activities. Studies on the subject can be classified as conceptual (theoretical) or analytical (applied). Therefore, this research compares bibliometric indicators between conceptual and analytical articles on LHC.

For data collection, the PRISMA Protocol was employed, and 488 articles published from 2009 to 2021, indexed in the Scopus and WoS databases, were retrieved.

This study reveals how conceptual and analytical LHC studies are organized in terms of the most relevant journals, articles, institutions, countries, the total number of citations, collaboration networks (co-authorship, international collaboration network and institutional collaboration network) and main co-words.

Only four papers conducting bibliometric analysis on LHC studies were identified in the Scopus and Web of Science databases. In addition, none of these papers compared conceptual and analytical bibliometric indicators to reveal the evolution, organization and trends of each category. Therefore, this work is not only the first to make this comparison but also the first to analyze the collaboration between authors, institutions and countries in relation to studies on LHC. The analyses performed in this work allow one new possible understanding, by researchers and health professionals, of the literature behavior in this field of study.

This paper aims to provide a discussion on the interface and interactions between data, analytical techniques and impactful research in humanitarian health supply chains. New techniques for data capturing, processing and analytics, such as big data, blockchain technology and artificial intelligence, are increasingly put forward as potential “game changers” in the humanitarian field. Yet while they have potential to improve data analytics in the future, larger data sets and quantification per se are no “silver bullet” for complex and wicked problems in humanitarian health settings. Humanitarian health supply chains provide health care and medical aid to the most vulnerable in development and disaster relief settings alike. Unlike commercial supply chains, they often lack resources and long-term collaborations to enable learning from the past and to improve further.

Based on a combination of the authors’ research experience, interactions with practitioners throughout projects and academic literature, the authors consider the interface between data and analytical techniques and highlight some of the challenges inherent to humanitarian health settings. The authors apply a systems approach to represent the multiple factors and interactions between data, analytical techniques and collaboration in impactful research.

Based on this representation, the authors discuss relevant debates and suggest directions for future research to increase the impact of data analytics and collaborations in fostering sustainable solutions.

This study distinguishes itself and contributes by bringing the interface and interactions between data, analytical techniques and impactful research together in a systems approach, emphasizing the interconnectedness.

Building information modelling (BIM) is an innovative, collaborative process underpinned by digital technologies introduced to improve project performance in the architecture, engineering and construction (AEC). Growth in industry demands has necessitated BIM inclusion into the higher education (HE) curricula as both a pedagogic and practical objective to prepare and develop aspiring built environment (BE) professionals with the required competence for contemporary practice. However, comprehension of BIM concepts and subsequent development of the skill set required for its application remains overwhelming for students. In mitigating this challenge, adopting appropriate learner-centred strategies has been advocated. Problem-based learning (PBL) is becoming a widespread strategy to address concerns associated with authentic practices.

This paper evaluates the impact of the PBL strategy on students' accelerated learning of BIM based on a case study of 53 undergraduate students in a BIM module. The network analysis and centrality measures were employed in understudying the most applicable BIM skills.

From the analyses, PBL benefits students' knowledge acquisition (cognitive and affective) of BIM concept and development of transferable skills (academic and disciplinary), equipping them with capabilities to become BIM competent and workplace ready for the AEC industry.

The BIM pedagogy evolves, and new skillsets emerge. Analytical, communications and collaboration skills remain sacrosanct to delivering BIM modules. These skills mentioned above are essential in getting undergraduate students ready to apply BIM in the AEC sector.

The research intends to investigate the different typological and morphological characteristics of the neighbourhood spaces produced by different urban dynamics since the late nineteenth century in Turkey.

The main problem that drives the research is that a significant increase in the construction of gated communities has started to be seen in the last five years as a solution to safety issues in Turkey. However, these gated communities as safe-spaces have resulted in the danger of destroying neighbourhood life's physical and social dynamics by changing their spatial configuration. The study offers an analytical framework structured from defensible space theory and other safe-space theories in the literature. It has analysed the effect of physical characteristics of urban fabric on the production of safe-space in neighbourhoods through mappings and site observations. The case studies are conducted in three different morphological periods in Turkey, which are the Seyrancik neighbourhood in Bolu (the Ottoman Period), the Subayevleri neighbourhood in Ankara (the Republican Period) and the Karaman neighbourhood in Sakarya (the Liberalisation Period).

The analysis concludes that any type does not come to the fore in the production of defensible space in terms of its spatial features, but each has various strengths and weaknesses. As a result, this study emphasises the role of design in providing defensible neighbourhoods in the case of Turkey's cities and reveals the aspects that will guide the design of an urban and housing form in terms of the safety–environment relationship in Turkey.

The significance of the study is the comparative analytical approach to studying the housing development and demonstrates a method for analysing safety issues in the transformation process of neighbourhood structures in Turkey.