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This paper aims to validate and adapt the Arabic version of Holden Communication Scale (HCS) for assessing communication skills among old people with dementia in care home.

A study involving 210 elderly residents from Jordanian care homes was conducted, where they completed the Arabic version of the HCS. Internal consistency and factor analysis techniques were precisely used to assess the scale's reliability. Additionally, cognitive function evaluation used the Arabic iteration of the Saint Louis University Mental Status (SLUMS) questionnaire, while communication skills were comprehensively appraised using the HCS.

The Arabic HCS has strong content validity, with a one-component structure accounting for 60% of the variation and a three-factor structure accounting for 77.2% of the variance. The original three-subgroup structure of the scale was recreated, and internal consistency varied from 0.85 to 0.87, indicating good reliability.

This study aimed to assess the reliability and validity of the Arabic version of the HCS among old people with dementia residing in care homes. The authors conducted examination of its psychometric properties within this unique population.

This study evaluates the enablers and barriers for modular concrete construction in Lebanon. The purpose of this paper is to investigate various factors (time, cost, technical know-how, organizational, sustainability, etc.) and their influence on the choice of the construction method. The paper examines the different assessments of designers, manufacturers, and contractors regarding precast construction in comparison to traditional in-situ methods, and highlights the major differences in their views.

Structured face-to-face surveys were conducted with top management personnel of precast manufacturers, architectural and engineering firms, and contracting companies in Lebanon. In addition, a case study from the largest precast project in Lebanon was used to provide a deeper understanding of factors encouraging the use of precast concrete, and to highlight major onsite issues associated with its implementation.

On the one hand, the findings highlight technical, logistical, organizational, and cultural factors that inhibit the use of precast concrete as a construction method. On the other hand, results reveal that cost, time, sustainability, and flexibility factors are the main enablers for increasing the uptake of modular concrete construction.

The main contribution to knowledge is that this study presents different stakeholders’ perspectives on precast concrete construction. Moreover, this is the first research addressing precast concrete construction in the Middle East and Lebanon. The results of the study provide valuable global insights and recommendations that may help increase the uptake of precast concrete construction. They can also guide project stakeholders to properly match project characteristics and precast concrete as a construction method.

A multi-objective mixed-integer linear program (MILP) model is developed to address this problem. The primary objective is to minimize the total restructuring cost, while the secondary objective aims to enhance the customer service level. To tackle the NP-hard nature of the problem, the non-dominated sorted genetic algorithm (NSGA-II) and a hybrid NSGA-II with the ɛ-constraint method are employed. The hybrid method combines the strengths of the ɛ-constraint method with NSGA-II. Various performance metrics, including the number of Pareto solutions (NPS), normalized set coverage and spacing metrics, are utilized to compare the characteristics of the non-dominated fronts obtained by NSGA-II and the hybrid methods.

The Restructuring Facility Location Problem involves the closure, resizing or opening of a group of facilities and the assignment of customers to these selected facilities. The objective is to provide the required service to customers while minimizing the overall restructuring costs. This paper introduces a novel multi-objective model for hierarchical facilities called the Multi-Objective Restructuring Hierarchical Facility Location Problem (MO-RHFLP). The model specifically includes primary- and secondary-level facilities, with the primary facility offering broad coverage. In MO-RHFLP, customers within the coverage range of the primary facility can receive service from there.

The results demonstrate that the NSGA-II-based method performs well in terms of normalized set coverage and spacing metrics. However, the hybrid method outperforms NSGA-II in these aspects. Additionally, the hybrid method achieves a mutation in the NPS metric.

The present study, from three perspectives, has continued the way of the previous studies in restructuring channels. First, the multi-objective problem of restructuring the bi-level network executed in this study contains both levels of the network opening, closing and resizing. Taking a different perspective, the MO-RHFLP problem is introduced through the formulation of a multi-objective MILP model. This model serves as a framework for addressing the MO-RHFLP. By developing the hybrid ɛ-constraint method with NSGA-II, we solve the proposed problem.

The purpose of this research was to model the impact of customer knowledge on the performance of organization with a focus on information technology industry. Furthermore, it is intended to analyze the effect of customer knowledge investment on the performance measures, by reviewing investment policies.

The relationship between customer knowledge and performance measures was specified using literature review and grounded theory method. The system dynamics approach was then applied to analyze the impact of the customer knowledge on the performance measures.

This study provided a dynamic model on the causal relationship between customer knowledge and organizational performance. The results showed that measures such as product development, financial performance, idea generation, technical knowledge and knowledge maturity were affected by the customer knowledge while the relationship with customer loyalty and the number of customers was not proven. Besides, it was found that to increase the impact of customer knowledge on organizational performance, knowledge maturity was essential, and investing on customer knowledge without investing on knowledge maturity would reduce the organizational performance. The results also showed that more knowledge investment would not necessarily increase financial strength of the organization.

Results of this study could be useful for strategy formulation and deployment especially for IT-based companies showing the importance of investment on customer knowledge on the one hand and the knowledge maturity in the organization on the other hand.

In this research, the impact of customer knowledge on both financial and nonfinancial performance measures was studied showing new findings on the dynamism of their relationships.

Psychological and entrepreneurial traits have been widely studied as explicative variables of encouraging entrepreneurial behavior, while their impact on innovative activity is less explored. This study examines whether, how and why psycho-entrepreneurial traits and social networks effect innovativeness among women firm owners.

Analysis of data collected from 304 Saudi women entrepreneurs accompanied by business accelerators provides a wide support with some notable exceptions. We use Structural Equation Modeling technique to estimate how different constructs interact with each other and jointly affect directly or indirectly women's innovativeness behavior in Saudi Arabia.

Findings point out that innovativeness is positively and significantly affected by emotional intelligence, internal locus of control, entrepreneurial alertness and entrepreneurial self-efficacy. The construct of entrepreneurial self-efficacy mediates the relationship between both business and personal networks and innovativeness. However, professional forums and mentors have no significant effect on innovativeness.

The sample selection is limited to two entrepreneurial support structures especially business accelerator and business incubator. Expanding the context to other support structures can reinforce the implications and provide more valuable results.

The findings are likely to be of applicability for improving women entrepreneurship by entrepreneurial support structures.

This research is original in the sense that it investigated useful insights of innovativeness among Saudi female entrepreneurs.

Analyzing different scenarios at the design stage of construction projects has always been a challenging task. One of the main parameters that helps owners in making better decisions in designing their buildings is to look after the cost perspective on different design scenarios. Thus, this study aims to propose a semi-automated BIM-based cost estimation approach that enables practitioners to estimate the cost of projects based on different design scenarios by an accurate and agile system.

This study proposes an integrated framework, through which the cost estimation standard of Iran (FehrestBaha) is linked to the materials quantity take-offs (QTO) from BIM models. The performance of the system is based on connecting the classification standards of UniFormat and MasterFormat to the cost estimation standard of FehrestBaha. A BIM-based extension in the Revit environment is developed to automate the cost estimation process.

To evaluate the efficiency of the proposed approach in cost estimation, it is implemented to estimate the cost of the architectural discipline in a real construction project. The results indicate that the proposed BIM-based approach estimated the cost of the architectural discipline with an acceptable level of accuracy.

The proposed approach could be used by practitioners to have an agile and accurate BIM-based cost estimation of different scenarios during design process. The semi-automated system considerably reduces the time of cost estimation in comparison to the traditional manual approaches, particularly in complex structures. Owners are able to easily trace changes in project cost according to any changes in components and materials of the BIM model. Furthermore, the proposed approach provides a practical roadmap for BIM-based cost estimation based on cost estimation standards in different countries.

Unlike the traditional manual cost estimation approaches, the proposed BIM-based approach is not highly dependent on the knowledge of experienced estimators, which therefore facilitates its implementation. Furthermore, automating both QTO process and the required calculations in this approach increases the accuracy of cost estimation while decreasing the probability of human errors or omission occurrence.

This study aims to address the environmental impact of nondegradable synthetic materials by promoting their reuse. Specifically, it investigates the feasibility of using polyester needle felt carpet waste as the matrix for thermoplastic composites reinforced with glass and jute fibers at various fiber contents (20, 30 and 40 Wt. %).

The research used both glued and unglued carpet wastes to examine the effect of adhesive impurities on composite properties. The mechanical properties of the composites were evaluated through tensile, bending and Izod impact tests. Additionally, scanning electron microscopy was used to observe the microstructural effects of adhesive impurities on the fiber/matrix interface.

The results showed that unglued carpet composites outperformed glued carpet composites, exhibiting 51% greater tensile strength, 294% higher bending strength and 293% superior impact strength on average. The mechanical properties of the unglued carpet composites generally improved with increasing fiber content. In contrast, glued carpet composites demonstrated optimal performance at specific fiber contents within the studied range. Microscopic analysis revealed that adhesive impurities in the glued composites caused fiber/matrix bond disruption and delamination under load.

This study highlights the potential of recycling polyester needle felt carpet waste into high-performance thermoplastic composites. It underscores the significant impact of adhesive impurities on the mechanical properties of these composites and provides insight into optimizing fiber content for improved material performance.

The purpose of this paper is to present a model for measuring relational capital in banks by using measurement indicators defined in previous studies and according to the conditions of the banking industry and in particular the Ansar bank in Iran.

The study identifies measurement indicators of relational capital from the related resources and articles and uses content analysis and factor analysis methods. It also measures the selected indicators through a questionnaire analyzing them using the SPSS software to create a model to measure relational capital in the bank.

By using the measurement model created in this research, relational capital in Ansar bank is determined to be comprised of eight principal components. The total score of these components is the starting point of promoting the relational capital in the banking industry.

This study may not have thoroughly covered the peer- reviewed articles on intellectual capital, but it can be assumed with high confidence that it has made a serious attempt at studying the most important papers on the subject as of date. Moreover, the model presented in this study is valid only when applied in comparing banks. It should further be noted that time limitation, non-availability of relevant experts as well as the required data may have affected the accuracy and reliability of the results. However, the final model has been utilized to try to optimally minimize each limitation according to the existing resources, and through their proper management.

This study provides a new approach that can significantly help bank managers in comparing their banks in the field of relational capital and reacting to their weaknesses and performance advantages of relational capital over its rivals.

In addition to creating a new framework for relational capital indicators, this study offers a model for measuring relational capital in the banks.

Fabrication settings such as printing speed and nozzle temperature in fused deposition modeling undeniably influence the quality and strength of fabricated parts. As available market filaments do not contain any exact information report for printing settings, manufacturers are incapable of achieving desirable predefined print accuracy and mechanical properties for the final parts. The purpose of this study is to determine the importance of selecting suitable print parameters by understanding the intrinsic behavior of the material to achieve high-performance parts.

Two common commercial polylactic acid filaments were selected as the investigated samples. To study the specimens’ printing quality, an appropriate scaffold geometry as a delicate printing sample was printed according to a variety of speeds and nozzle temperatures, selected in the filament manufacturer’s proposed temperature range. Dimensional accuracy and qualitative surface roughness of the specimens made by one of the filaments were evaluated and the best processing parameters were selected. The scaffolds were fabricated again by both filaments according to the selected proper processing parameters. Material characterization tests were accomplished to study the reason for different filament behaviors in the printing process. Moreover, the correlations between the polymer structure, thermo-rheological behavior and printing parameters were denoted.

Compression tests revealed that precise printing of the characterized filament results in more accurate structure and subsequent improvement of the final printed sample elastic modulus.

The importance of material characterization to achieve desired properties for any purpose was emphasized. Obtained results from the rheological characterizations would help other users to benefit from the highest performance of their specific filament.

This research examines the effect of water conscientiousness (WC) on consumers' purchase intentions and behaviours towards sustainable apparel. Through this exploration, the research aims to show how consumers' awareness of water conservation connects with their purchase choices for sustainable apparel.

Drawing on the norm activation theory, this research developed a theoretical framework and tested it using structural equation modelling and mediation analysis. This research focuses on the unique context of Jordan, a region grappling with severe water scarcity. Data were collected using an online survey with 222 completed questionnaires retained for data analysis.

The results indicate that WC does not have a significant direct effect on purchase intentions of sustainable apparel (PISA). This finding challenges the assumption that conscientiousness towards water scarcity would drive prosocial behaviours such as purchasing sustainable apparel. However, the findings reveal a full mediation effect of perceived environmental apparel knowledge (PEAK) and perceived environmental concern (PEC) on the relationship between WC and PISA. Such a finding raises awareness of the need to develop consumers' PEAK and PEC by educating them on the importance of WC and the effect of the apparel industry on water preservation. A significant relationship exists between PISA and purchase behaviour of sustainable apparel (PBSA), affirming the role of intentions in driving sustainable purchase behaviours of consumers.

This study provides novel insights into the role of WC in facilitating PISA and PBSA by testing a theoretical model that incorporates various environmental factors. Likewise, it extends the geographical scope of sustainability research and underscores the importance of considering diverse environmental conditions when studying consumer behaviour. The findings provide insights for marketers and policymakers in water-scarce regions, enabling them to develop strategies to promote sustainable apparel consumption.