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The spatial conflicts and congestion of construction resources are challenges that lead to the reduction in efficiency. The purpose of this paper is to enable users to detect and resolve workspace conflicts by implementing four resolution strategies in a five-dimensional (5D) CAD model. In addition to resolving conflicts, the model should be able to optimize time and cost of the projects. In other words, three variables of spatial conflicts, time and cost of project are considered simultaneously in the proposed model to find the optimum solution.

In the first step, a 5D simulation model is developed that includes time, cost and geometrical information of a project. Then, time-cost trade-off analysis was carried out to distinguish optimum schedule. The schedule was imported to the 5D CAD model to detect spatial conflicts. Finally, a novel algorithm was implemented to solve identified conflicts while imposing minimum project’s time and cost. Several iterations are performed to resolve all clashes using conflict resolution algorithm and visual simulation model.

The proposed methodology in this research was applied to a real case. Results showed that in comparison to the normal and initial schedule with 19 conflicts, the finalized schedule has no conflict, while time and cost of the project are both reduced.

Implementing the proposed methodology in construction projects requires proper technical basis in this field. In this regard, the executive user should have a proper understanding of the principles, concepts and tools of building information modeling and have project management knowledge. Also, the implementation conditions of the basic model requires the determination of the construction methods, estimated volumes of working items, scheduling and technical specification. The designed methodology also has two limitations regarding to its implementation. The first is the fact that strategies should be applied manually to the schedule. The other one pertains to the number of strategies used in the research. Four strategies have been used in the conflict resolution algorithm directly and the two others (spatial divisibility and activities breakdown strategies) have been used as default strategies in the visual simulation model. Since the unused strategies including the changing of construction method and the activity resources are subjective and depend upon the planner and project manager’s personal opinion, the authors have avoided using them in this research.

The method proposed in this research contributes the coordination of the working teams at the planning and execution phases of the project. In fact, the best location and work direction for each working team is presented as a schedule, so that the space conflict may not come about and the cost can be minimized. This visual simulation not only deepens the planners’ views about the executive barriers and the spatial conditions of the worksite, it also makes the construction engineers familiar on a daily basis with their executive scope. Therefore, it considerably improves the interactions and communication of the planning and construction teams. Another advantage and application of this methodology is the use of initial and available projects’ documents including the schedule and two-dimensional drawings. The integration of these basic documents in this methodology helps identify the spatial conflicts efficiently. To achieve this, the use of the existing and widely-used construction tools has facilitated the implementation of the methodology. Using this system, planners have applied the strategies in an order of priority and can observe the results of each strategy visually and numerically in terms of time, cost and conflicts. This methodology by providing the effective resolution strategies guides the practitioner to remove conflicts while optimum time and cost are imposed to project.

Contrary to the previous models that ignore cost, the proposed model is a 5D visual simulation model, which considers the variable of cost as a main factor for conflict identification and resolution. Moreover, a forward-pass approach is introduced to implement resolution strategies that are novel compared to other investigations.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

For worksites to attain the highest possible efficiencies, spatial conflicts need to be addressed and minimized. To do this, a combination of 5D CAD models and time-cost trade-off and building information modeling knowledge need to be adopted.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This study aims to identify the most important factors affecting the usability of Learning Management Systems (LMSs) and present these factors in the form of a comprehensive and practical framework and validate the framework.

In this research, a mixed research method and sequential exploratory research design were used. In the qualitative section, the qualitative meta-synthesis method was utilized to extract usability factors from the research literature and formulate the framework of factors, and in the quantitative section, the survey method was employed to validate the framework. In the qualitative section, the research field included the research available in the Scopus and Web of Science databases, and the data collection tool included electronic and printed documents on the usability factors of LMSs. To validate the findings, in addition to citing research literature and theoretical foundations, the audit trail, consensual validity and expert peer review methods were used. Also, to analyze the data, the thematic analysis method and thematic network via MAXQDA 2020 software were used. In the quantitative section, the statistical population was students of the Faculty of Psychology and Educational Sciences at Allameh Tabatabai University in Iran, and the sample included undergraduate students of this faculty with a volume of 200 people. The tool for collecting information was a researcher-made questionnaire that was provided to students in the first half of the academic year 2022–2023. To validate the findings, content-related validity through Content Validity Ratio (CVR) and Content Validity Index (CVI) and construct validity through Confirmatory Factor Analysis (CFA) and Convergent Validity were examined. Cronbach’s alpha coefficient and Composite Reliability (CR) were also used to check reliability. To analyze the data one-sample T-test via SPSS 27 software was used, and the PLS-SEM was utilized via SmartPLS 4 software to validate the framework proposed by the researcher.

The findings from the qualitative part of this research include basic themes and organizing themes related to the global theme of usability. Based on the findings from the qualitative part, it can be concluded that the factors in terms of frequency in the research literature have the following ranks: interaction (first rank), ease of use and usefulness (second rank), learnability (third rank), navigation (fourth rank), satisfaction and enjoyment, visual design and accessibility (fifth rank), help and assessment and feedback (sixth rank) and content, errors correction and privacy and security (seventh rank). The findings of the quantitative part include the external fit indexes of the framework and the internal fit index of the framework; based on the obtained values, it can be concluded that the framework of LMS usability factors has a good fit.

This research is the first comprehensive study of all theories on the usability of LMSs, in which a framework is proposed that combines the important factors mentioned in the relevant theories and models for the first time. Additionally, practical and applicable suggestions are provided in this study to enhance each of the usability factors of LMS.

To the best of the authors’ knowledge, this research presents a framework for the first time in which all important factors of usability theories and models are combined and prioritizes these factors based on their importance in relevant research. It also provides practical recommendations for enhancing these factors in LMSs for system developers and instructional designers.

The best algorithm that was implemented on this Brazilian dataset was artificial immune system (AIS) algorithm. But the time and cost of this algorithm are high. Using asexual reproduction optimization (ARO) algorithm, the authors achieved better results in less time. So the authors achieved less cost in a shorter time. Their framework addressed the problems such as high costs and training time in credit card fraud detection. This simple and effective approach has achieved better results than the best techniques implemented on our dataset so far. The purpose of this paper is to detect credit card fraud using ARO.

In this paper, the authors used ARO algorithm to classify the bank transactions into fraud and legitimate. ARO is taken from asexual reproduction. Asexual reproduction refers to a kind of production in which one parent produces offspring identical to herself. In ARO algorithm, an individual is shown by a vector of variables. Each variable is considered as a chromosome. A binary string represents a chromosome consisted of genes. It is supposed that every generated answer exists in the environment, and because of limited resources, only the best solution can remain alive. The algorithm starts with a random individual in the answer scope. This parent reproduces the offspring named bud. Either the parent or the offspring can survive. In this competition, the one which outperforms in fitness function remains alive. If the offspring has suitable performance, it will be the next parent, and the current parent becomes obsolete. Otherwise, the offspring perishes, and the present parent survives. The algorithm recurs until the stop condition occurs.

Results showed that ARO had increased the AUC (i.e. area under a receiver operating characteristic (ROC) curve), sensitivity, precision, specificity and accuracy by 13%, 25%, 56%, 3% and 3%, in comparison with AIS, respectively. The authors achieved a high precision value indicating that if ARO detects a record as a fraud, with a high probability, it is a fraud one. Supporting a real-time fraud detection system is another vital issue. ARO outperforms AIS not only in the mentioned criteria, but also decreases the training time by 75% in comparison with the AIS, which is a significant figure.

In this paper, the authors implemented the ARO in credit card fraud detection. The authors compared the results with those of the AIS, which was one of the best methods ever implemented on the benchmark dataset. The chief focus of the fraud detection studies is finding the algorithms that can detect legal transactions from the fraudulent ones with high detection accuracy in the shortest time and at a low cost. That ARO meets all these demands.

This paper aims to address the influence of mass media (MM) and word of mouth (WOM) on subjective norm (SN) and the intentions to purchase a family takaful scheme among Muslim Malaysians.

Data were collected from 384 Muslim consumers in Kuala Lumpur, Malaysia, using a convenience sampling approach. The hypotheses were tested by applying structural equation modelling.

The results revealed that MM and WM were able to influence SN. In addition, the results also found that SN significantly influences intentions to purchase a family takaful scheme.

By examining MM and WM on SN, the study validated the importance of both constructs in affecting consumers’ SN and purchase intention. This study would be useful for takaful operators, as the findings would help them to formulate strategies for promotional activities.

This paper empirically justifies the relationship between MM and WM on SN and purchase intention of family takaful schemes in an integrated model.

The tumultuous relations between the Islamic Republic of Iran and the West, in particular the United States, since the 1979 revolution is climaxing in the dispute over Iran’s nuclear development. However, if as expected, a settlement is reached, mainly by Iran backing down, an important question would loom on the horizon: Can the West, and principally Washington, live happily and peacefully with a theocracy that is ideologically radical in character and anti-American in orientation? This essay deals with that question and explores pathways that may lead to some answers. In so doing it will point out the root causes of the hostility of the clerical establishment towards the United States and why despite various attempts and strong incentives a thaw in relations has eluded both capitals. Significant internal and external factors will be highlighted in this regard and how they may perceivably give (or not give) way to the resumption of diplomatic ties between Iran and the United States will be investigated.

The purpose of this paper is to investigate the main determinants logistical factors that have an impact on the adoption of cloud enterprise resource planning (ERP) among small- and medium-sized enterprises (SMEs) in developing economies. By adopting the diffusion of innovation, technological, organizational and environmental model as a theoretical framework, the 14 factors examined in this study are as follows: relative advantage (RA), compatibility, complexity, value creation, technology readiness (TR), security concerns, technical barriers, top management support (TMS), enterprise readiness (ER), enterprise size (ES), enterprise status, competitive advantage, government support and infrastructure/telecommunication.

Data were collected from 131 respondents’ senior executives and IT managers in SMEs in developing economies (Jordan, Lebanon, King Saudi Arabia, Bahrain, Qatar, Emirates, Egypt, Oman, Kuwait and Turkey). A web-based survey questionnaire was used for data collection process. The research framework and the derived hypotheses were tested by logistic regression analysis.

The findings indicate that compatibility, TR, technical barriers, TMS, ER, ES and competitive pressure have a significant effect on the adoption of cloud ERP. This conclusion can be utilized in enhancing the strategies for approaching ERP cloud by pinpointing the reasons why some SMEs choose to adopt this technology, while others still do not go forward with this.

This study provides an overview and empirically shows the main determinants logistical factors that might face SMEs in the developing economies. The findings also help SMEs consider their information technologies investments when they think to adopt cloud ERP.

Maternal mortality is an acute problem for many countries around the world, particularly those at the bottom of the pyramid (BoP). Most remote locations in these underdeveloped nations, for instance, in Africa, have to cope with the problem of interrupted electricity supply making healthcare practitioners often experience a helpless compulsion to compromise in providing quality medical attention, especially during childbirth. Along with many public, private and nongovernment initiatives, WE CARE Solar (hereafter WCS) – a social innovation venture comes with an idea of developing portable solar suitcases to respond to this intransigent problem.

This paper introduces a social enterprise that established its operation in Africa and so far has served in more than 30 similarly impoverished economies. Data was collected, analyzed using documentary research method. The authors have also collected and correlated the statements from the founder of WCS to complement the authors’ findings. With this paper, the authors intend to establish the type of innovation tools that are needed to provide value with a social innovation initiative in the health sector in the least developed country perspective. To facilitate better social outcomes and to ensure greater good, innovation requires to be accompanied by stakeholders’ involvement.

The findings indicate that WE CARE Solar has a positive social contribution toward ensuring safe motherhood and childbirth in underdeveloped countries by providing access to reliable solar power sources. The six-step social innovation process can be adopted by other social ventures to propose innovative solutions to social needs. Analyzing WCS's service delivery from the perspective of the 4As framework and value co-creation model, it is suggested that sustainable social change can be established with value co-creation through community engagement with multiple stakeholders.

This research was solely focused on one organization alone. Future research could look into the model to ascertain its acceptability in similar social innovation in healthcare initiatives.

This paper attempts to address a gap in social innovation in healthcare and its adaptability using the 4As framework with the value co-creation model. The authors propose this model from the data accumulated throughout the research, which could also serve to assist organizations looking for scalable and sustainable change.