Design Methodology Research Articles

Development of a social commerce scale: exploratory and confirmatory factor analysis using structural equation modelling

Purpose This paper aims to propose an instrument for measuring social commerce among entrepreneurs from the USA, Mexico and Colombia. Design/methodology/approach The methodological design was quantitative, explanatory, observational and transversal, where a sample of 1,644 entrepreneurs from the USA (n = 525), Mexico (n = 608) and Colombia (n = 510) was obtained. For the validation and reliability of the instruments, a structural equation model (SEM) was developed for the three studies carried out. Regarding the goodness and adjustment indices of the SEM in the three countries, they turned out to be acceptable. Findings Through the results obtained in the three studies carried out, it has been verified that the instrument of social commerce in its two factors: Marketing and Market Participation, has sufficient validity and statistical reliability. Likewise, it has been verified that both the manifest variables and the latent variables of the construct show a significant relationship between the three studies carried out in different populations. Research limitations/implications The findings obtained in the presented study contribute to entrepreneurs, leaders and managers of the business sector to improve the entrepreneurial project through marketing and market participation of the product and service, as well as the business unit that seeks to position itself in the market. Likewise, it helps entrepreneurs to understand analytically and systematically the constructs that social commerce is made up of, which will help entrepreneurial leaders reduce or control their risk when considering social commerce in their entrepreneurship, achieving the success of the entrepreneurial project through its positioning in the market considering marketing and market participation as main factors of social commerce. Originality/value The findings are relevant and of great value to the literature because at present there is not enough research that is focused on the variables analysed related to social commerce in the contexts of the USA, Mexico and Colombia. The relevance of the present scale in comparison to others proposed by the literature is that the proposed scale is focused on entrepreneurs who seek to be more successful through the positioning of their business unit, product or service in the market through the market participation. It is achieved through marketing strategies. Another contribution provided by the present study lies in the methodological robustness of the scale and its analysis, comparing it with studies in three leading entrepreneurship countries in Latin America, comparing the validity and reliability as well as the goodness of fit indices of the proposed model in each of the studies. They were significant and very similar, so the proposed scale is of great value and usefulness in the literature.

Improving processing efficiency through workflow process reengineering, simulation and value stream mapping: a case study of business process reengineering

PurposeBusiness Process Reengineering (BPR) eliminates non-value-added (NVA) and essential non-value-added (ENVA) waste through radical process redesign to improve organizational operations. Comprehensive research integrating BPR tools is needed to understand their benefits for manufacturing firms. This research presents an integrated BPR-simulation framework tailored to the manufacturing sector to maximize process improvements and operational excellence.Design/methodology/approachThe BPR design methodology adopts a systematic, multi-stage approach. The first phase involves identifying a specific improvement process aligned with BPR's core objectives. This phase analyses and redesigns workflows to optimize task sequences, roles, and stakeholder interactions while eliminating redundancies and inefficiencies via Workflow Process Reengineering. Visual process mapping tools, including VSM and simulation, pinpoint areas of waste, delay, and potential enhancement. The second phase follows the workflow analysis and aims to improve efficiency and effectiveness by redefining roles, rearranging tasks, and integrating automation and technology solutions. The redesigned process undergoes evaluation against key performance indicators to ensure measurable improvements are achieved. The final phase validates the proposed changes through simulation models, assesses the impact on key performance metrics, and establishes the necessary infrastructure for successful implementation. The proposed model is empirically validated through a case study of a leading apparel company in Vietnam, confirming its effectiveness.FindingsThe findings reveal that NVA activities are being eliminated, and ENVA activities in key departments are significantly reduced. This yielded a substantial improvement, reducing 25 out of 186 combined ENVA and NVA operations in the sewing facility, involving a decrease of 15 ENVA operations and the removal of 10 NVA operations. Consequently, this led to an 8.5% reduction in the proportion of ENVA operations, accompanied by a complete 100% elimination of NVA activities.Research limitations/implicationsThe single case study limits generalizability; thus, expanded implementation across diverse manufacturing sub-sectors is required to establish validity and broader applicability of the integrated framework.Originality/valueThe experimental results highlight the proposed model's effectiveness in optimizing resource utilization and its practical implementation potential. This structured BPR methodology enables organizations to validate, evaluate, and establish proposed process changes to enhance operational performance and productivity.

Developing bullying prevention guidelines for nurse interns’ and its effects on their assertiveness

BackgroundBullying is a serious problem that has short and long term negative consequences for nurse interns. Bullying prevention guidelines have a great impact on reducing the incidence of bullying among nurse interns.AimThe present study aimed to evaluate the effect of developing bullying prevention guidelines on nurse interns’ assertiveness levels.MethodsA methodological study design was used to conduct the study at Ain Shams University Hospitals in Cairo Governorate, Egypt. The study subjects consisted of all nurse interns enrolled in the 2022–2023 internship year and their number 121 nurse interns. The data were collected using four tools: the Bullying Knowledge Questionnaire, the Negative Act Questionnaire Revised (NAQ-R), the Individual Bullying Behaviors in Clinical Practice Survey, and the Assertiveness Inventory.ResultsThe scores for total bullying knowledge and assertiveness after the implementation of the prevention guidelines were significantly increased (91.4% and 86.3%, respectively) among those who were exposed to bullying than among those with pretest scores of (34.7% and 11.8% respectively) (P < 0.001).ConclusionBullying prevention guidelines significantly reduced nurse interns bullying and improved their assertiveness. The study recommended the dissemination and generalization of the developed bullying prevention guidelines in different training settings.

Knowledge-Based Development and Ventures in Building Coastal Resilience

Due to climate change and rapidly increasing challenges of environmental disturbances, building coastal resilience is becoming necessary for coastal communities. Knowledge-based development and ventures are major subjects in the literature of building coastal resilience. However, current literature on the relationship between knowledge-based development and knowledge-based ventures in building coastal resilience is limited. In this paper, the author shows a design methodology of integrating both knowledge-based development and ventures in building coastal resilience. The methodology is grounded in the theories of input-process-output model of strategic entrepreneurship, docility and business incubation, distributed cognition and network effects, and process-centered value generation. The design is put into action to study the experiences of Louisiana in building coastal resilience during and after historical hurricane Katrina.

Design and Implementation of PLL with Dead Zone-Less Low-Power Phase Frequency Detector

This project introduces a Phase-Frequency Detector (PFD) that includes a dedicated circuit for removing the dead zone. This design utilizes Pass Transistor Logic (PTL) and Delay Cells (DCs) to effectively address this issue. Additionally, a Low-Pass Filter is integrated into the system and connected with charge pump, employing a technique that replaces resistors with transistors, thereby significantly reducing the overall circuit area. Furthermore, a Phase-Locked Loop (PLL) serves to eliminate the dead zone and significantly reduce the circuit's size. This project aims to advance circuit design methodologies by enhancing performance and minimizing area requirements.

Design and Numerical Analysis of an Annular Combustion Chamber

Designing a combustion chamber for gas turbines is considered both a science and an art. This study presents a comprehensive methodology for designing an annular combustion chamber tailored to the operating conditions of a CFM-56 engine, a widely used high bypass ratio turbofan engine. The design process involved calculating the basic criteria and dimensions for the casing, liner, diffuser, and swirl, followed by an analysis of the cooling sections of the liner. Numerical simulations using NUMECA software and the HEXPRESS meshing tool were conducted to predict the combustion chamber’s behavior and performance, employing the κ-ε turbulence model and the Flamelet combustion model. Methane was used as the fuel, and simulations were performed for three fuel injection angles: axial, 45°, and 60°. Results demonstrate that the combustion chamber is properly dimensioned and achieves complete combustion for all configurations. The pressure ratio is 0.96, exceeding the minimum design criteria. Additionally, the emissions of unburned hydrocarbons are zero, while nitrogen oxides and carbon monoxide levels are below regulatory limits. These findings validate the proposed design methodology, ensuring efficient and environmentally compliant combustion chamber performance.

Enhancing Microalgal Biomass and Chemical Composition for Sustainable Wastewater Treatment

The research explores enhancing microalgal biomass production and its chemical composition for sustainable wastewater treatment. By using the Central Composite Design (CCD) methodology, nutrient concentrations and microbial components in the growth medium were optimized. Adjustments to light exposure, particularly with red and blue frequencies, significantly improved biomass yield, carbon sequestration, and protein content. Optimal light intensity further enhanced these parameters. A process incorporating on-demand CO2 supply and controlled pH levels showed potential for increasing biomass concentrations and nutrient utilization efficiency. Results demonstrated a 28% increase in biomass fixation and a 27% increase in biomass production compared to unoptimized conditions. The study emphasizes the effectiveness of integrated approaches in boosting biomass production and optimizing wastewater treatment, offering promising avenues for sustainable bio-based solutions

Entrepreneurship education in East, West and North Africa Higher Education Institutions (HEIs): mapping agripreneurship curriculum and lecturers’ competencies

This study focused on mapping agripreneurship curriculum and lecturers’ competencies in 8 African Higher Education Institutions (HEIs), participating in the Strengthening Agri-Entrepreneurship and Community Engagement Training in East, West and North Africa (AgriENGAGE) joint Project. A sample of 194 lecturers from East, West, and North Africa participated in the study. The study employed a mixed method approach with concurrent nested research design methodology to collect information. Among the main results found in this study, the key aspects that were implemented in curricula were; business plan development (µ = 3.57), business opportunities identification (µ = 3.56), and communicating with value chain actors (= 3.51). Concerning the forms of entrepreneurship taught, most institutions focused on subsistence agripreneurship (µ = 3.23) with growth-oriented agripreneurship (µ = 2.50) and innovative-oriented agripreneurship (µ = 2.50) having the lowest rating. Regarding teaching methods within the provision of entrepreneurship education, most of the institutions were using traditional teaching methodologies with the common ones being formal lectures, field trips, in-class group discussions, and group project-based learning. Most lecturers had low teaching competencies concerning instructional quality and a moderate/average level of entrepreneurial competencies. The study recommends that universities should implement more professional development and pedagogical training over and above the subject competency to improve lecturers’ entrepreneurial competency.

Advancements in diabetic foot insoles: a comprehensive review of design, manufacturing, and performance evaluation

The escalating prevalence of diabetes has accentuated the significance of addressing the associated diabetic foot problem as a major public health concern. Effectively offloading plantar pressure stands out as a crucial factor in preventing diabetic foot complications. This review comprehensively examines the design, manufacturing, and evaluation strategies employed in the development of diabetic foot insoles. Furthermore, it offers innovative insights and guidance for enhancing their performance and facilitating clinical applications. Insoles designed with total contact customization, utilizing softer and highly absorbent materials, as well as incorporating elliptical porous structures or triply periodic minimal surface structures, prove to be more adept at preventing diabetic foot complications. Fused Deposition Modeling is commonly employed for manufacturing; however, due to limitations in printing complex structures, Selective Laser Sintering is recommended for intricate insole designs. Preceding clinical implementation, in silico and in vitro testing methodologies play a crucial role in thoroughly evaluating the pressure-offloading efficacy of these insoles. Future research directions include advancing inverse design through machine learning, exploring topology optimization for lightweight solutions, integrating flexible sensor configurations, and innovating new skin-like materials tailored for diabetic foot insoles. These endeavors aim to further propel the development and effectiveness of diabetic foot management strategies. Future research avenues should explore inverse design methodologies based on machine learning, topology optimization for lightweight structures, the integration of flexible sensors, and the development of novel skin-like materials specifically tailored for diabetic foot insoles. Advancements in these areas hold promise for further enhancing the effectiveness and applicability of diabetic foot prevention measures.

A cost modelling methodology based on machine learning for engineered-to-order products

Recent scientific studies are targeted at applying and assessing the effectiveness of Machine Learning (ML) approaches for cost estimation during the preliminary design phases. To train ML prediction models, comprehensive and structured datasets of historical data are required. This solution is inapplicable when such information is unavailable or sparse due to the lack of structured datasets. For engineered-to-order products, the number of historical records is often limited and strongly influenced by different purchasing or manufacturing strategies, thus requiring complex normalisation of such data.This method overcomes the above limitations by presenting an ML-based cost modelling methodology for the conceptual design that is applicable even when historical data are insufficient to train the prediction algorithms. The training dataset is generated through an analytical and automatic software tool for manufacturing cost estimation. Such a tool, starting from a 3D model of a product, can quickly and autonomously assess the related cost in different scenarios. An extensive and structured training dataset can be easily generated. The proposed methodology was based on CRISP-DM (Cross Industry Standard Process for Data Mining).Cost engineers of an Oil & Gas company used the method to develop parametric cost models for discs and spacers of an axial compressor. The solution guarantees lower error (7% vs 9%) and significant time-saving (minutes instead of hours) than estimations based on other approaches. Cost models are more comprehensive (capable of analysing different scenarios), explainable (not conceived as a black box), and self-learning (can be updated by extending the training dataset).

How to Support People with Hearing Impairment beyond Hearing aid Provision - A Systematic Review on Self-Management Interventions

People with hearing handicap have to use a whole range of strategies to cope with everyday challenges - they have to self-manage their hearing impairment. While the support of self-management is well established in foreign language audiological rehabilitation programs, there are no recommendations in Germany yet. Therefore, the aim of this systematic review is first to give an overview of existing self-management interventions for people with hearing handicap and then to suggest possible applications in the German care system. A systematic literature search was conducted on PubMed. The articles dealt with self-management interventions for people with hearing impairment. This eligibility criterion was applied to titles, abstracts, and full texts. If eligible, information on the publication, intervention, and evaluation were extracted and qualitatively summarized. The methodological quality of studies was investigated using the NIH assessment tool for interventional studies. 23 papers could be included and show a high heterogeneity regarding methodological quality, applied intervention, and design of evaluation. The interventions pursuing various goals include a wide range of content (e. g., communication improvement or psychosocial aspects) and have been implemented on a group-based, individual-based, or self-administered level. Despite a few studies that failed to demonstrate intervention effects, most evaluations found positive ef-fects of the intervention on hearing impairment, psychological well-being, and communication. The included studies present a high heterogeneity with regard to methodological quality, the intervention conducted, and the evaluation design. Therefore, a summary of the findings was only possible in a qualitative manner. Possibilities of adapting existing intervention programs as well as chances and limits of an implementation in the German health care system are to be discussed in the following. Overall, interventions including self-management support seem to be a profitable complement to sole technical device supply and should be further fostered in German-speaking countries as well.

Glass transition temperature as a unified parameter to design self-healable elastomers.

Self-healing ability of materials, particularly polymers, improves their functional stabilities and lifespan. To date, the designs for self-healable polymers have relied on specific intermolecular interactions or chemistries. We report a design methodology for self-healable polymers based on glass transition. Statistical copolymer series of two monomers with different glass transition temperatures (Tg) were synthesized, and their self-healing tendency depends on the Tg of the copolymers and the constituents. Self-healing occurs more efficiently when the difference in Tg between two monomer units is larger, within a narrow Tg range of the copolymers, irrespective of their functional groups. The self-healable copolymers are elastomeric and nonpolar. The strategy to graft glass transition onto self-healing would expand the scope of polymer design.

Glass transition temperature as a unified parameter to design self-healable elastomers.

Self-healing ability of materials, particularly polymers, improves their functional stabilities and lifespan. To date, the designs for self-healable polymers have relied on specific intermolecular interactions or chemistries. We report a design methodology for self-healable polymers based on glass transition. Statistical copolymer series of two monomers with different glass transition temperatures (Tg) were synthesized, and their self-healing tendency depends on the Tg of the copolymers and the constituents. Self-healing occurs more efficiently when the difference in Tg between two monomer units is larger, within a narrow Tg range of the copolymers, irrespective of their functional groups. The self-healable copolymers are elastomeric and nonpolar. The strategy to graft glass transition onto self-healing would expand the scope of polymer design.

Applicability of Design Methodology for the Remediation Bund of Flammable Dangerous Liquid Storage Tanks

Applicability of Design Methodology for the Remediation Bund of Flammable Dangerous Liquid Storage Tanks

Studying the association Between longitudinal non-dense breast tissue and breast cancer risk: a joint modelling approach.

Conflicting results have appeared in the literature on whether the amount of non-dense, adipose tissue in the breast is a risk factor or a protective factor for breast cancer, and biological hypotheses supporting both have been proposed. We suggest here that limitations in study design and statistical methodology could potentially explain the inconsistent results. Specifically, we exploit recent advances in methodology and software developed for the joint analysis of multiple longitudinal outcomes and time-to-event data to jointly analyze dense and non-dense tissue trajectories and the risk of breast cancer in a large, Swedish, screening cohort. We also perform extensive sensitivity analyses by mimicking analyses/designs of previously published studies, e.g. ignoring available longitudinal data. Overall, we did not find strong evidence supporting an association between non-dense tissue and the risk of incident breast cancer. We hypothesize that (1) previous studies have not been able to isolate the effect of non-dense tissue from dense tissue or adipose tissue elsewhere in the body, that (2) estimates of the effect of non-dense tissue on risk are strongly sensitive to modeling assumptions, or that (3) the effect size of non-dense tissue on breast cancer risk is likely to be small/not clinically relevant.

Advancements in Fused Deposition Modeling for Aerospace: Optimizing Lightweight and High- Strength Components

Fused Deposition Modeling (FDM) has emerged as a pivotal technology in aerospace manufacturing, enabling the creation of lightweight and high-strength components. Recent advancements in FDM materials, process optimization, and design methodologies have significantly enhanced its applicability in producing aerospace parts that meet stringent performance criteria. This paper reviews the latest developments in FDM technology, focusing on material innovations, structural optimization techniques, design for additive manufacturing and practical applications in the aerospace sector. Key advancements include the use of high-performance thermoplastics, carbon fiber composites, and hybrid materials, as well as improved printing techniques that reduce defects and enhance mechanical properties. The potential of FDM to revolutionize aerospace manufacturing through cost- effective and efficient production of complex geometries is explored, highlighting ongoing research and future directions in this dynamic field.

Reflective anomalous beam splitter (RABS) metasurface for millimeter-wave (mm-Wave) frequency

Metasurfaces have gained a considerable amount of interest in the past decade for their capabilities to manipulate electromagnetic (EM) waves in different manners. They have offered multiple functionalities in terms of wave control depending on the given application. In terms of wave control, particularly EM beam splitting, it can be challenging compared to the given literature review, to achieve a wide number of beam-splitting reflections and coverage for multiple incident angles simultaneously. In this paper, we focus on the design of a metasurface based on the methodology of high periodicity supercell design (5.76λ) and impedance modulation to achieve a various number of beam-splitting angles, while maintaining the same coverage at multiple incident angles for millimeter-wave (mm-Wave) frequencies. Following the generalized phase law of reflection alongside proper optimization of the surface impedance, the proposed reflective anomalous beam splitter (RABS) metasurface is designed to be polarization independent, and high reflection efficiency is achieved with a wave beam split into 11 different directions while operating for multiple incident angles simultaneously, making it a promising candidate to overcome challenges for various mm-Wave communication applications, especially in expanding 5G coverage in non-line of sight regions at a 28 GHz frequency band. The performance of the RABS metasurface is evaluated using both full-wave simulations and experimental measurements, which demonstrate its effectiveness in achieving 11 efficient reflective anomalous beams with a reflection efficiency of up to 96.65% and 97.36% in TE and TM modes at 28 GHz.

Taking Science Fiction seriously: Unveiling its relationship with employee’s Innovative Work Behavior

While existing literature acknowledges the role of science fiction in foreseeing technological advancements, a notable gap persists in understanding the underlying factors that drive or hinder individuals from the intention to generate and promote ideas gathered through science fiction. Our research model aims to shed novel light on what factors influence employees’ propensity to generate and promote ideas inspired by science fiction, through the lenses of institutional theory. Purposefully, we frame science fiction methodologies inside the Innovative Work Behavior discourse, as science fiction could be a fruitful tool to generate and promote ideas, and we investigate the interplay of rational and institutional influences on such behaviors. The findings provide valuable insights that can be leveraged to design and implement effective methodologies within organizational settings. Our study, based on data from 480 employees, employs Structural Equation Modeling to reveal the pivotal role of normative influence in idea generation, while idea promotion exhibits a robust association with cultural-cognitive influence, pinpointing the dual phase of science fiction methodologies.

Analytical quality by design (AQbD) based optimization of RP-UPLC method for determination of nivolumab and relatlimab in bulk and pharmaceutical dosage forms

BackgroundThe Analytical Quality by Design (AQbD) methodology extends the application of Quality by Design (QbD) principles to the management of the analytical procedure life cycle, encompassing method creation, optimization, validation, and continuous improvement. AQbD assists in creating analytical procedures that are robust, reliable, precise, and cost-efficient. Opdualag™ is a combination of Nivolumab and Relatlimab, which are antibodies that block programmed death receptor-1 (PD-1) and lymphocyte-activation gene 3 (LAG-3) receptors, used to treat advanced melanoma. This work aims to develop and validate a reversed-phase ultra-performance liquid chromatography (RP-UPLC) method using AQbD principles to determine NLB and RTB in pharmaceutical products.ResultsA central composite design (CCD) comprising three factors arranged in five distinct levels was implemented via Design-expert® software to optimize the chromatographic conditions. A mathematical model was constructed and the effects of three independent factors namely flow rate (X1), percentage of methanol in the mobile phase (X2), and temperature (X3) on responses including retention time (Y1–2), resolution factor (Y3), theoretical plates (Y4–5), and tailing factor (Y6–7) were investigated. The software determined the optimal chromatographic conditions for the separation of NLB and RTB, which were as follows: 32.80% methanol in the mobile phase, 0.272 mL/min flow rate, 29.42 °C column temperature, and 260 nm UV detection. The retention time for NLB and RTB were 1.46 and 1.88 min, respectively. The method exhibited linearity across the concentration ranges of 4–24 µg/mL for RTB and 12–72 µg/mL for NLB. The limits of detection (LOD) and limit of quantification (LOQ) for NLB and RTB, respectively, were 0.89 µg/mL, 2.69 µg/mL and 0.15 µg/mL and 0.46 µg/mL. The percentage relative standard deviation (%RSD) of intraday and interday precision for NLB and RTB was below 2. The recovery percentages for NLB and RTB were determined to be 99.57–100.43% and 99.59–100.61%, respectively. Both drugs were found to be susceptible to oxidative and photolytic degradation in forced degradation studies.ConclusionsEmploying the AQbD-based methodology, a straightforward, fast, accurate, precise, specific, and stability-indicating RP-UPLC method has been established for the quantitative analysis of NLB and its RTB in pharmaceutical formulations.

Recent Advancements in Geothermal Energy Piles Performance and Design

Geothermal energy piles or ground heat exchange (GHE) systems embrace a sustainable source of energy that utilizes the geothermal energy naturally found inside the ground in order to heat and/or cool buildings. GHE is a highly innovative system that consists of energy loops within foundation elements (shallow foundations or piles) through which a heat carrier fluid circulates, enabling heat extraction or storage in the ground. Despite the innovation and potential of GHE systems, there are significant challenges in harmonizing their thermal and mechanical designs due to the complex interactions involved. This review critically examines state-of-the-art design methodologies developed to address these complexities, providing insights into the most recent advancements in GHE performance and design. Key findings include innovative techniques such as advanced numerical modeling to predict thermomechanical behavior, the use of different pipe configurations to optimize heat transfer, and strategies to minimize thermal stress on the foundation. Additionally, this review identifies research gaps, including the need for more comprehensive full-scale experimental validations, the impact of soil properties on system performance, and the long-term effects of thermal cycling on pile integrity. These insights aim to contribute to a better understanding of the thermomechanical behavior of energy piles, ultimately facilitating more accurate and effective design solutions.