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Despite being a seminal explanation of the workforce emotional experiences, capable of mapping the path from the antecedents to consequences, affective events theory (AET) only offers a “macrostructure” of a working environment. To date, little is known about the universal features of the work environment that may guide the understanding of imperative work aspects triggering employees’ emotions at work. Hence, the study proposes and validates that Stafford Beer’s viable system model (VSM) can provide a holistic view of the organizational work environment, enabling a comprehensive understanding of work events or factors triggering workforce emotions.

First, the VSM structural layout is used to fill in the “macrostructure” of the “working environment” in AET to diagnose the functional and relational aspects of the work and the related work events occurring within. Using a deductive approach, 31 work events were adopted to determine the impact of VSM-based work environment events on the employees’ emotional experiences and subsequent work attitudes (job satisfaction) and behaviors (citizenship behavior). To field test the proposed nexus of VSM and AET, the survey was conducted on two hundred and fifteen employees from 39 different organizations. PLS-SEM tested the explanatory power of the suggested VSM’s systemic approach for understanding the affective work environment in totality.

The findings confirmed that the VSM metalanguage provides a holistic view of the organizational functioning and social connectivity disposing of affective work events, helpful in assessing their aggregate influence on employees’ emotions and work-related outcomes.

The findings identify how employees' emotions can be triggered by everyday work operations and social relations at work, which can affect their extra-role behaviors and necessary work-related attitudes.

The study utilized Beer’s VSM framework based on the systemic principle of “holistic view” for ascertaining the affective work environment and its related features holistically, which filled in well the macrostructure of “work environment features” with micro-structures of organizational inter-related aspects which are yet to be known in AET – a seminal explanation for managing workforce emotions.

Knowledge regarding the importance of the psychosocial work environment for health and well-being in the workplace is extensive. However, more knowledge is needed about how the managers’ organizational conditions are related to what occupational health and safety management (OHSM) is actually conducted and how this relates to the work-related health of employees. The aim of this study is therefore to investigate if managers’ organizational conditions are associated with the conducted OHSM, and if the conducted OHSM is associated with the psychosocial work environment and well-being of the employees.

An electronic questionnaire was sent to managers and their employees working in 10 different organizations in Sweden, resulting in 1,097 valid responses. Structural equation modeling (SEM) was used to analyze the results.

The SEM analysis showed that managers’ conditions were related to employee well-being via OHSM and psychosocial work environment (job demands and job resources).

This study contributes to the existing literature in the field of OHSM by placing explicit focus on the role of organizational conditions for conducting OHSM. By studying not only the link between work environment and health, but also focus on the underlying organizational structures for OHSM, provides additional possibilities for prevention of the increasing work-related illness. As such, this paper contributes to a more holistic perspective in the field of OHSM.

Studies show that building information modelling (BIM) technology can improve construction productivity regarding the design, construction and maintenance of a project life cycle in the 21st century. Revit has been identified as a frequently used tool for delivering BIM in the built environment. Studies about BIM technology via Revit are scarce in training middle-level workforce higher education institutions. Thus, this study aims to investigate the relevance of BIM technology and offer measures to promote digitalisation in Nigeria’s built environment polytechnic undergraduates via Revit.

Given the unexplored nature of training the middle-level workforce in Nigeria, 37 semi-structured virtual interviews were conducted across Nigeria, and saturation was achieved. The participants were knowledgeable about construction-related BIM. The researchers used a thematic analysis for the collected data and honed them with secondary sources.

Improved visualisation of design, effective and efficient work productivity, automatic design and quantification, improved database management and collaboration and data storage in the centrally coordinated model, among others, emerged as BIM’s benefits. BIM technology via Revit is challenging, especially in Nigeria’s polytechnic education curriculum. The 24 perceived issues were grouped into government/regulatory agencies-related, polytechnic management-related and polytechnic undergraduate students-related hindrances in Nigeria’s built environment.

This study is limited to BIM implications for Nigeria’s built environment polytechnic undergraduates.

This study contributes to the literature paucity in attempting to uncover perceived issues hindering the implementation of BIM technology via Revit in training Nigeria’s built environment polytechnic undergraduates via a qualitative approach.

This study examines the impact of outdoor environments in public rental housing complexes on residents’ psychological restoration, taking into account the interconnectedness of physical and psychological factors in human health. Drawing on Kaplan and Kaplan’s Attention Restoration Theory and Ulrich’s Supportive Design Theory, the research investigates the factors influencing residents’ psychological restoration within these outdoor spaces.

The Perceived Restorativeness Scale (PRS), which is based on the Attention Restoration Theory and the Zuckerman Inventory of Personal Reactions (ZIPERS) are used to assess residents’ restorative experiences. Field research was conducted to collect data on the outdoor environments, and surveys were administered to the residents. The study analyzes the data using SPSS, including both factor and correlation analyses, to explore the relationship between the restorative effect and emotional factors.

The study verified a significant influence of positive emotions in ZIPERS on PRS’ overall restorative effect, thus supporting the utilization of both PRS and ZIPERS factors together to assess comprehensively the impact of outdoor environments on residents’ psychological restoration.

By employing a multidimensional approach involving residents’ experiences and emotions, this study quantified emotional and psychological data, which were hard to quantify. These results provide a basis for developing more objective restoration environment design guidelines and programs in the future.

The purpose of this study is to determine whether the implementation of a performance management system comprising some traditional management practices (management process and organizational behavior modification) lead to an ethical organizational environment and improved employee performance.

A structural model is theorized and assessed using data from samples of full-time employees in the USA and Brazil. Partial least squares–structural equation modeling is used.

The findings of this study suggest that management process and organizational behavior modification directly and positively impact the ethical environment, and the ethical environment directly and positively impacts employee performance. The management process and organizational behavior modification indirectly impact employee performance through an ethical environment.

Although this theorized model was tested and provided significant results for implementing the management practices suggested, it is strongly recommended that other random data samples be used to analyze the theorized model and assess to reconfirm the results. In addition, incorporating the ethical environment construct within a larger model that includes other potential antecedents, such as management principles, and other potential outcomes, such as organizational commitment, job satisfaction and workplace optimism, is recommended.

This study provides management practitioners with empirical evidence that implementing a performance management system consisting of the management process and organizational behavior modification will enhance both the ethical environment and organizational trust, which, in turn, will lead to improved individual employee performance. Based on the theoretically and statistically supported framework, managers can improve the performance of their subordinates. The results further support the assertions that managers must implement the management process along with organizational behavior modifications to improve employee performance through an ethical environment and organizational trust

The general conclusion from this study is that good management practices in the form of the management process and organizational behavior modification are inherently ethical. Furthermore, when implemented and consistently maintained by managers, these practices will result in an organizational environment that supports ethical behavior and engenders a high level of trust. The results of this study demonstrate a significant contribution to the existing literature, in that good management is tied, in fact, directly to ethics and trust.

The results provide evidence that good management in the form of the management process and organizational behavior modification yields both a positive ethical environment and improved employee performance. Practitioners are provided with evidence that reaffirms the need to define expectations for employees and to provide the necessary resources and positive reinforcement to fulfill the expectations. This study is one of the first to directly assess the impact of traditional management practices on an ethical environment.

Design is an important construct in the retail environment literature. Yet, the measures used for design have not followed appropriate scale development procedures. The purpose of this study is to provide a conceptual definition and then develop a scale for retail environment design (RED).

Interviews with both consumers and marketing researchers are used to generate a potential list of items. Using four different studies, these items are refined, and the RED scale is offered.

This study develops and validates the four-dimensional RED scale to measure the design of retail environments. The dimensions are functional, aesthetic, lighting and signage.

The newly developed RED scale will allow retailing researchers to measure lighting and signage qualities as part of retail design, measure design of retail environments more accurately and allow different studies to be compared.

The newly developed RED scale will allow retailers to better understand customers’ perceptions of the four dimensions of design. Retailers spend significant time and money designing and redesigning retail environments. The RED scale will enable managers to ensure these significant investments create competitive advantages and an appropriate return on investment.

A scale to measure retail environment design is developed. The scale includes two dimensions (lighting and signage) that are not typically investigated.

This paper aims to investigate the influence of the regional business environment on local firm innovation, considering various dimensions such as administrative, financial and legal environments.

Multiple regression analysis is employed to analyze archival data for firms listed on Chinese stock markets.

We find that the optimizations of the administrative and financial environments positively affect firm innovation, whereas the legal environment does not exert a similar impact. Our analysis also reveals that the business environment’s optimization significantly influences innovation in firms that are small, non-state-owned and operating in high-tech industries. Furthermore, the business environment acts as a moderating variable in the relationship between firm innovation and firm value.

This study contributes to a more comprehensive understanding of institutional-level determinants of firm innovation, highlighting the nuances of the legal environment and the importance of context-specific analysis, especially in emerging markets like China.

Developing countries can significantly enhance firm innovation by improving the business environment, including the optimization of administrative and financial systems, reducing transaction costs and ensuring capital supply. Tailored legal frameworks and alternative institutional strategies may also be explored.

This study explicitly emphasizes the governmental role in promoting firm innovation, shedding light on policy formulation and strategic alignment with local administrative policies.

To the best of our knowledge, this paper is the first to explore the relationship between the business environment and firm innovation using World Bank indicators in an emerging market context, providing novel insights into the unique dynamics of legal, financial and administrative sub-environments.

Earned value management systems (EVMS), also called integrated project and program management systems, have been greatly examined in the literature, which has typically focused on their technical aspects rather than social. This study aims to hypothesize that improving both the technical maturity of EVMS and the social environment elements of EVMS applications together will significantly impact project performance outcomes. For the first time, empirical evidence supports a strong relationship between EVMS maturity and environment.

Data was collected from 35 projects through four workshops, attended by 31 industry practitioners with an average of 19 years of EVMS experience. These experts, representing 23 organizations, provided over 2,800 data points on sociotechnical integration and performance outcomes, covering projects totaling $21.8 billion. Statistical analyses were performed to derive findings on the impact of technical maturity and social environment on project success.

The results show statistically significant differences in cost growth, compliance, meeting project objectives and business drivers and customer satisfaction, between projects with high EVMS maturity and environment and projects with poor EVMS maturity and environment. Moreover, the technical and social dimensions were found to be significantly correlated.

Key contributions include a novel and tested performance-driven framework to support integrated project management using EVMS. The adoption of this detailed assessment framework by government and industry is driving a paradigm shift in project management of some of the largest and most complex projects in the U.S.; specifically transitioning from a project assessment based upon a binary approach for EVMS technical maturity (i.e. compliant/noncompliant to standards) to a wide-ranging scale (i.e. 0–1,000) across two dimensions.

This paper aims to focus on solving the path optimization problem by modifying the probabilistic roadmap (PRM) technique as it suffers from the selection of the optimal number of nodes and deploy in free space for reliable trajectory planning.

Traditional PRM is modified by developing a decision-making strategy for the selection of optimal nodes w.r.t. the complexity of the environment and deploying the optimal number of nodes outside the closed segment. Subsequently, the generated trajectory is made smoother by implementing the modified Bezier curve technique, which selects an optimal number of control points near the sharp turns for the reliable convergence of the trajectory that reduces the sum of the robot’s turning angles.

The proposed technique is compared with state-of-the-art techniques that show the reduction of computational load by 12.46%, the number of sharp turns by 100%, the number of collisions by 100% and increase the velocity parameter by 19.91%.

The proposed adaptive technique provides a better solution for autonomous navigation of unmanned ground vehicles, transportation, warehouse applications, etc.

Propaganda is a prevalent technique used in social media to intentionally express opinions or actions with the aim of manipulating or deceiving users. Existing methods for propaganda detection primarily focus on capturing language features within its content. However, these methods tend to overlook the information presented within the external news environment from which propaganda news originated and spread. This news environment reflects recent mainstream media opinions and public attention and contains language characteristics of non-propaganda news. Therefore, the authors have proposed a graph-based multi-information integration network with an external news environment (abbreviated as G-MINE) for propaganda detection.

G-MINE is proposed to comprise four parts: textual information extraction module, external news environment perception module, multi-information integration module and classifier. Specifically, the external news environment perception module and multi-information integration module extract and integrate the popularity and novelty into the textual information and capture the high-order complementary information between them.

G-MINE achieves state-of-the-art performance on both the TSHP-17, Qprop and the PTC data sets, with an accuracy of 98.24%, 90.59% and 97.44%, respectively.

An external news environment perception module is proposed to capture the popularity and novelty information, and a multi-information integration module is proposed to effectively fuse them with the textual information.