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This paper examined the significance of the built environment for shaping inclusion and social connections in housing with care (HwC) schemes for older people (50+ years) in England and Wales. The purpose of this study was to develop a better understanding of how the availability, absence and use of communal spaces impacts social connections with other residents within HwC schemes.

Longitudinal and cross-sectional qualitative interviews were conducted with 72 residents across three HwC providers in England and Wales. Data were analysed using a thematic framework approach to examine how residents experienced their living environments.

Whilst the presence of communal shared spaces helps facilitate social connections and the development of friendships, full and equal access to these spaces remains challenging for residents with minority characteristics, and/or physical impairments. Building designers need to ensure they are complying with building regulations and the Equalities Act. The presence of on-site staff may also help to manage the impact of discriminatory attitudes.

A key strength of this study is its design, both in using longitudinal and cross-sectional interviews and in recruiting respondents with marginalised characteristics, whose voices have often been excluded in gerontological research. Another strength, albeit unexpected, is that this study was able to capture perspectives across the onset of the COVID-19 pandemic. The pandemic, however, may also have generated some limitations in this study. COVID-19 restrictions limited the ability to engage face-to-face within housing schemes whose residents were predominantly from different ethnic minoritised groups, and it therefore limits the inclusion of the voices and experiences of these groups. Responses in later interviews may also have been influenced by the changes in social engagement stimulated by lockdowns and may only be specific to the context of the pandemic. However, the findings reported here focus on the role and use of the built environment, and much of the interview content would feasibly apply regardless of the pandemic.

This research offers some key insights and implications for housing providers and policy. Housing providers and architects must ensure that the design of HwC schemes affords all residents access to every area of the built environment to maintain independence, autonomy and to adopt the ethos of the ageing in place agenda. If communal areas are to function as “third” or social spaces – if they are to remain equally accessible to all members of the community – then building providers must ensure that all areas are accessible to all residents in line with building regulations and the Equality Act (2010).

Housing staff need to balance the natural development of friendship groups with the potential of the formation of exclusionary “cliques” within HwC schemes. Such cliques threaten the accomplishment of communal areas as “third” or social spaces and, as such, impact the quality of life for residents.

This study offers insights into how built environments support the development of social connections and friendships in HwC schemes. It also identifies ways that housing managers can ensure that all residents feel equally valued and included.

The purpose of this study is to provide evidence to support an emerging theory that interpersonal conflict is the primary cause of workplace stress among a self-selected sample of Irish construction managers.

Eighteen construction managers working in Ireland were recruited for this study. Using semi-structured interviews and interpretative phenomenological analysis as the research methodology, the causes of their workplace stress were investigated.

Participants reported that the principal cause of their workplace stress was high levels of interpersonal conflict between colleagues. The effects of this interpersonal conflict included avoidance behaviour, ill health, absences from the workplace and loss of productivity issues. Deadlines, penalty clauses, lack of appreciation, cliques, costs, communication, temporary contracts and delays were also reported stressors.

A limitation of the study is the small sample of 18 construction managers and the limited geographical area.

The social implications of this study could be to clearly identify that interpersonal conflict may be under reported in the construction industry, and there is a possibility that it is being misclassified as other workplace behaviours such as bullying, harassment and workplace violence. If this is so, this could aid future researchers in addressing this challenging workplace behaviour.

The current consensus in the literature is that the three main causes of workplace stress are bullying, harassment and violence. However, the role and importance of interpersonal conflict as reported in this study, with the exception of North America and China, is not reflected in the wider health and safety research literature. In addition, interpersonal conflict and its reluctance to be reported is largely absent from construction safety research. The findings of this study may be explained if the workplace stress research community is currently misclassifying interpersonal conflict as a manifestation of bullying, harassment or violence. If this is the case, interpersonal conflict needs further research. This is to establish if this cause of construction-related workplace stress needs to be reconsidered as a standalone phenomenon in the wider family of challenging workplace behaviours.

An efficient e-waste management system is developed, aided by deep learning techniques. Here, a smart bin system using Internet of things (IoT) sensors is generated. The sensors detect the level of waste in the dustbin. The data collected by the IoT sensor is stored in the blockchain. Here, an adaptive deep Markov random field (ADMRF) method is implemented to determine the weight of the wastes. The performance of the ADMRF is boosted by optimizing its parameters with the help of the improved corona virus herd immunity optimization algorithm (ICVHIOA). Here, the main objective of the developed ADMRF-based waste weight prediction is to minimize the root mean square error (RMSE) and mean absolute error (MAE) rate at the time of testing. If the weight of the bins is more than 80%, then an alert message will be sent to the waste collector directly. Optimal route selection is carried out using the developed ICVHIOA for efficient collection of wastes from the smart bin. Here, the main objectives of the optimal route selection are to reduce the distance and time to minimize the operational cost and the environmental impacts. The collected waste is then considered for recycling. The performance of the implemented IoT and blockchain-based smart dustbin is evaluated by comparing it with other existing smart dustbins for e-waste management.

The developed e-waste management system is used to collect the waste and to avoid certain diseases caused by the dumped waste. Disposal and recycling of the e-waste is necessary to decrease pollution and to manufacture new products from the waste.

The RMSE of the implemented framework was 33.65% better than convolutional neural network (CNN), 27.12% increased than recurrent neural network (RNN), 22.27% advanced than Resnet and 9.99% superior to long short-term memory (LSTM).

The proposed E-waste management system has given an enhanced performance rate in weight prediction and also in optimal route selection when compared with other conventional methods.

The purpose of this study was to make sense of the individual perspectives of former undergraduate student mentors from science, technology, engineering, and mathematics (STEM) fields who took part in an after-school STEM mentoring program. The study examined the following research questions: (1) How do former undergraduate student STEM mentors interpret and give meaning to their after-school STEM mentoring experiences? (2) In what way can an after-school STEM mentoring experience lead to a deeper understanding of the long-term implications of a STEM mentorship program?

The sample comprised 21 former undergraduate STEM mentors. The study was guided by the methods of content analysis and repertory grid (RepGrid), with data collected via highly structured interviews. Eight elements were pre-selected for the RepGrid to elicit constructs from participants. These include (1) mentoring, (2) teaching, (3) research, (4) career, (5) workforce, (6) Nebraska STEM for you (NE STEM 4U), (7) networking, and (8) communication. The researcher employed content analysis for cross-case analysis and used interpretative clustering to analyze nuanced similarities and differences among participants. Personal construct theory was used to understand how former STEM mentors made sense of their experiences.

The results highlight the diversity of viewpoints among participants, as well as their connections to various career paths, communication strategies, and mentorship styles. These insights contribute to a deeper understanding of how STEM mentorship experiences can be tailored to the experiences of mentees. The study stresses the significance of clear communication in STEM and advises professionals to avoid excessive technical jargon to convey complex ideas. Overall, the study provides valuable insights into the motivations, perspectives, and benefits of former undergraduate mentors. Ultimately, recognizing how these factors impact STEM mentoring programs is vital for the long-term success and advancement of the STEM pipeline.

The study has several limitations, including the inclusion of participants lacking knowledge or experience with the eight elements used in the RepGrids. While participants had completed a bachelor’s degree in a STEM field, not all had pursued advanced schooling or careers that required knowledge or implementation of research.

Findings underscore the importance of acknowledging the diverse career paths within STEM fields to understand participants’ perspectives toward mentorship. Considering the incorporation of STEM mentorship within regular school hours and making it a graduation prerequisite could enhance student participation and advancement. Integrating STEM outreach programs into higher education curricula could facilitate the development of essential professional skills (e.g. critical thinking, problem-solving) among STEM undergraduate students. These implications highlight the importance of diverse mentorship styles and professional skills to foster a more inclusive STEM workforce.

The study focused on the individual perspectives of participants rather than employing a thematic analysis.

To a large extent, knowledge in government workplaces resides within the hierarchy as it provides unique services to the public. Governments should preserve and pass on valuable and irreplaceable knowledge in providing their services through learning by sharing. Yet, sharing requires time and effort. This study examines the motivations of civil servants to share knowledge and their knowledge-sharing behaviors.

The authors conducted an online survey to collect quantitative data from civil servants in the Hong Kong Government and obtained 104 useable responses to test the eight hypotheses comprising six constructs by structural equation modeling to explore the participants' knowledge-sharing behaviors.

Results indicated that (1) expected contribution was the primary source of motivation behind knowledge sharing; (2) participants engaged more frequently in informal than formal knowledge-sharing activities; and (3) there was a dire need for knowledge sharing focusing on explicit knowledge of work procedures.

The research focuses on motivational factors for knowledge sharing. Despite abundant literature about knowledge sharing in public or governmental organizations, scant studies focus on the motivations behind why expected rewards and expected associations have less significant impacts on the attitude toward knowledge sharing than expected contribution.

Informal learning networks are critical to response to calls for practitioners to reskill and upskill in off-site construction projects. With the transition to the coronavirus disease 2019 (COVID-19) pandemic, social media-enabled online knowledge communities play an increasingly important role in acquiring and disseminating off-site construction knowledge. Proximity has been identified as a key factor in facilitating interactive learning, yet which type of proximity is effective in promoting online and offline knowledge exchange remains unclear. This study takes a relational view to explore the proximity-related antecedents of online and offline learning networks in off-site construction projects, while also examining the subtle differences in the networks' structural patterns.

Five types of proximity (physical, organizational, social, cognitive and personal) between projects members are conceptualized in the theoretical model. Drawing on social foci theory and homophily theory, the research hypotheses are proposed. To test these hypotheses, empirical case studies were conducted on two off-site construction projects during the COVID-19 pandemic. Valid relational data provided by 99 and 145 project members were collected using semi-structured interviews and sociometric questionnaires. Subsequently, multivariate exponential random graph models were developed.

The results show a discrepancy arise in the structural patterns between online and offline learning networks. Offline learning is found to be more strongly influenced by proximity factors than online learning. Specifically, physical, organizational and social proximity are found to be significant predictors of offline knowledge exchange. Cognitive proximity has a negative relationship with offline knowledge exchange but is positively related to online knowledge exchange. Regarding personal proximity, the study found that the homophily effect of hierarchical status merely emerges in offline learning networks. Online knowledge communities amplify the receiver effect of tenure. Furthermore, there appears to be a complementary relationship between online and offline learning networks.

Proximity offers a novel relational perspective for understanding the formation of knowledge exchange connections. This study enriches the literature on informal learning within project teams by revealing how different types of proximity shape learning networks across different channels in off-site construction projects.

This paper proposes a framework for director evaluation in the context of Chinese state-owned enterprises (SOEs), taking into account the influences of traditional and modern Chinese ideologies.

Following the Delphi method, a series of semi-structured interviews were conducted with Chinese SOE directors.

The framework used has been validated by examining seven dimensions of virtue and four dimensions of competence functions in Chinese SOEs. Effective and representative characteristics of each dimension are identified through interviews.

First, through this research, indicators of virtue have been materialized and those of competence have been specified in a broader range. Second, this research provides advice for training of candidate directors whose experience were in private firms before they step in as SOE directors.

Against the backdrop of the convergence and divergence debate in comparative management studies, this study aims to explore Chinese-style management and proposes the husband-housewife-patriarchy (HHP) model of management, emphasizing the uniqueness of Chinese management practices that are differentiated from Western- and Japanese-oriented paradigms while advocating a progressive and practical approach to understanding and applying these principles [1].

This study combines a “bottom-up” and “top-down” logic of analysis to reexamine the general managerial approaches, with particular attention toward human resource management as a stream within the whole management spectrum across China, the USA, Europe and Japan, reaching a typological representation of the above prototypes, which is coined as the HHP model of management. In doing so, this paper proffers a novel lens for revisiting these models and advancing management innovation in China.

Chinese-style management is characterized by an array of unique approaches diverging from Western and Japanese models. The HHP management model is presented as a new framework for reinterpreting these distinctions and encouraging management innovation within China, highlighting the potential of Chinese management practices in contributing to global management knowledge.

This paper offers novel perspectives on Chinese-style management and introduces the HHP management model, enriching the discourse on comparative management and local innovation in the managerial arena.

Drug trafficking in the tiny state of Manipur, located in the northeastern part of India bordering Myanmar, has drawn attention from all over the globe looking at the scale and varieties of drugs trafficked, ranging from plant-based opiates to synthetic-based amphetamine-type stimulants (ATS). Moreover, drug trafficking in the region also comes with many socio-political dynamics such as high per-capita drug consumption, local drug manufacturing units, terror funding from drug money, politician–drug lord nexus, police–peddler nexus.

The study is based on data from the years 2007 to 2023 accessed from the Narcotics and Affairs of Borders, a specialized branch of Manipur Police, Government of Manipur. The study also tries to estimate the state’s drug economy using the Financial Action Task Force and the United Nations Office on Drugs and Crime methodology.

The study finds seizure of a massive cache of heroin/brown sugar, and ATS in the past 4–5 years. The study also finds large-scale destruction of poppy plants in the state. The study also finds a high percentage of ethnic minority communities involved in drug trafficking. The study found the value amounting to US$62m in 2022. The study also comes across low conviction rates of drug traffickers in the state.

The study emphasizes the need for expediting the War on Drugs campaign in the state curtailing poppy cultivation and conviction of drug lords so that the nerve center of terror funding in India’s eastern front is kept under control.

The study aims to attain insights into the role of destructive leadership and perceived organizational politics as catalysts for employee disengagement through the perspective of social identity theory. The research further considers employees’ defensive cognitions for a comprehensive understanding of these interrelated phenomena in the workplace.

In order to ascertain the pertinence and contextual relevance of the proposed framework, literary review was complemented by a survey-based study encompassing 114 full-time employees purposively selected from the six systemically important banks of Pakistan.

The findings accentuate the significance of destructive leadership in inducing withdrawal behaviours among employees directly and indirectly through continuance commitment. The results also underline perceptions of politics as a significant work environment impediment amplifying employees’ propensity to undergo psychological withdrawal.

The study contributes to strategic human resource management literature by offering an identity-based explanation for employees’ disengagement, considering Pakistan’s power-distant and collectivist orientation. The research further introduces an empirical novelty by postulating a total effect moderation model.