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This study aims to examine the impact of an organization’s digital transformation capability (DTC) on its dynamic capabilities and strategic depth, which, in turn, could impact the organization’s international market growth (IMG). This study also investigates the moderating role of leadership support (LES) in using the DTC.

The study reviews various kinds of literature related to international marketing, dynamic capabilities, digital transformation, strategic marketing and LES. Following this, a dynamic capability view is adopted to develop a research model. This research model is later tested using partial least squares structure equation modeling with data from 385 respondents from different types of organizations.

The study demonstrates that an organization’s DTC significantly enhances its dynamic capabilities and strategic depth. LES is vital for effectively applying and leveraging DTCs since it influences the association between DTCs, competitive advantage and global marketing intelligence. The study also recognizes that strategic depth and dynamic capabilities contribute to IMG.

The study uncovers the impacts of DTCs, influencing IMG. The study also provides valuable insights regarding the role of leadership in effectively leveraging the organization’s DTCs. It suggests the organization’s management should invest in improving DTC.

This study contributes to the prevailing literature on DTC, leadership and IMG. The study highlights the importance of DTC and how it impacts more established capabilities and leads to IMG of the organization. Further, this study is also unique as it establishes the importance of LES in leveraging the maximum benefits of the DTC.

This research addresses the critical challenge of fostering customer loyalty within the highly competitive landscape of the insurance industry. The study investigates the interplay between customer satisfaction, loyalty, and the influence of technology and service quality in the context of insurance services and in periods of crisis.

A quantitative research approach was employed, utilizing a structured questionnaire distributed among diverse insurance customers in Lebanon during crisis conditions. The data were analyzed using SPSS-Amos, incorporating descriptive statistics, correlation analysis, and structural equation modeling (SEM).

This research emphasizes the crucial role of customer satisfaction in fostering loyalty in the insurance sector, especially during crises. High satisfaction levels, influenced by user-friendly online platforms, positively correlate with increased customer loyalty. Technology plays a vital role in maintaining and improving satisfaction, making it a key driver during challenging times. Positive interactions between service quality and satisfaction further highlight the multifaceted impact of technology on shaping customer loyalty.

The research findings provide valuable insights with practical implications for insurers aiming to boost customer loyalty. The study recommends strategic investments in critical areas like claims processing, customer service, communication strategies, digitalization initiatives, and employee training. The study provides insights applicable particularly to insurance companies navigating crisis conditions.

This research contributes both to academic understanding and practical applications by shedding light on the distinctive challenges and opportunities faced by insurers in cultivating customer loyalty within the insurance industry during crisis. The elucidations provided serve as a foundation for developing targeted strategies to address these challenges and to leverage opportunities for enhanced customer loyalty.

The Open API (application programming interface) architecture will play an important role in promoting future FinTech service applications; however, it involves user data, and the current specialization and progression are less visible. Therefore, an evaluation framework for Open API development in the FinTech service ecosystem is constructed in this study.

This study preliminarily selects the four most important key objects and factors of this ecosystem and conducts expert interviews to revise the evaluation framework. Then, this study uses the fuzzy analytic hierarchy process (FAHP) to evaluate the objects and their factor weights and finally uses the FAHP analysis results to further apply the evaluation based on distance from average solution (EDAS) approach to explore the strategy optimization scenarios.

According to the analysis results, the co-creation object and productivity object are the two most significant objects, with weights of 0.275 and 0.272, respectively. The analysis shows that FinTech-related companies expect to increase productivity through co-creation. Finally, the results also indicate that mobile payment is the best Open API application scenario in the FinTech service ecosystem, followed by online banking. These results illustrate strategic and management implications.

This study screens key evaluation criteria with a literature review and expert questionnaire interviews to process quantitative research. It can determine the weights of objectives and criteria to clarify the strength of influence between the objectives and criteria. Next, this study measures the probable performance of Open API applied in various FinTech service ecosystem scenarios.

This paper aims to analyze the factors that affect the attitudes of Armenian small and medium enterprises (SMEs) regarding digitalization, examining whether they view it as a tool to foster innovation and business growth, while also assessing the extent to which digitalization mitigated the negative impacts of the COVID-19 crisis.

The empirical approach is based on data collected from 452 Armenian SMEs, which were further analyzed using SPSS Statistics 23.0 software. Scales for assessing the COVID-19 impact, innovation and digitalization were constructed and validated. To test five hypotheses, binomial logistic regression was conducted to appraise the importance of digitalization for Armenian SMEs, including the ability to mitigate the consequences of the recent COVID-19 pandemic.

The results of the analysis showed that the economic sector plays a significant role in forming the expectations of firms on the positive impact of digitalization, while the company size does not affect them. This paper found that the provision of online services before the pandemic did not help Armenian SMEs to be less affected by the crisis. Furthermore, the perception of whether digitalization facilitated innovative processes, products and services did not depend on the degree of being affected by COVID-19. Finally, the findings indicate that the more agile companies which had the ability to convert their business model into an e-business model were less affected by the crisis.

This paper contributes to the literature by studying the effect of digitalization on SMEs, as well as how SMEs in small developing countries like Armenia mitigated the negative effects of the COVID-19 pandemic. The current work is unique as, to the best of the authors’ knowledge, there are no prior empirical studies focusing on impact of digitalization and innovation induced by exogenous shocks in an under-researched country like Armenia.

Industrial Revolution 4.0 prompts organizations to adopt emerging technologies, and the healthcare industry is no different from them. Further, it is important to adopt new edge technologies to improve services and the well-being of patients. This research synthesizes the work most influenced by this technology and the trends and usage of Industry 4.0 technologies in the healthcare sector.

The study has used the Scopus and Web of Science databases to retrieve articles published in healthcare and Industry 4.0 for bibliometric analysis. Specifically, Bibliometrix (R-package) and VOSviewer were used to analyze data related to authors, sources, keywords and content analysis.

The study found increased research trends in Industry 4.0 and healthcare in recent years. The USA, India and China are top contributors in this field, showing research progress in developed and developing economies. Dwivedi Y and Kumar A. were top researchers in the field. The finding also reveals that predictive analytics, deep technology and sustainable development are emerging areas for healthcare where Industry 4.0 can play a crucial role.

Using Industry 4.0 technologies can help the company improve its services, operational efficiency and patient care.

The study explored the trends in the healthcare sector for using Industry 4.0 technologies through bibliometric analysis.

This study aims to address sustainability challenges in construction by exploring the structural performance and environmental benefits of incorporating pozzolanic waste glass (WG) into ultra-high-performance reinforced concrete (UHPRC) beams.

A comprehensive evaluation of UHPRC beams was conducted, incorporating varying ratios (10%, 20% and 30%) of WG powder alongside a consistent 0.75% inclusion of basalt fiber. The investigation encompassed the entire UHPRC production process, including curing, casting and molding, while evaluating workability and physical properties. Furthermore, the environmental impact, particularly CO₂ emissions associated with UHPRC mixture components, was also assessed. Type K thermocouples were employed to analyze temperature dynamics during fabrication, providing valuable insights.

The findings demonstrate positive implications for using pozzolanic WG as a cement substitute in UHPRC beams.

This research stands out for its unique focus on the combined effects of incorporating recycled pozzolanic glass waste on the structural performance and environmental footprint of UHPRC beams.

This study evaluates the economic effectiveness of higher education in Lithuania by measuring returns to investment in higher education for both individual university graduates and the state, particularly aiming to discover how higher education investments impact economic returns at both micro (individual) and macro (national) levels.

A dual methodological approach has been applied, utilizing both the Mincer earnings equation and the full discounting method, to draw a clear distinction between the returns enjoyed by individuals and those accrued to the country. Calculations for individual economic returns are done using the most recent available Lithuanian Department of Statistics data on the wage structure, while national return on education was based on the State Tax Inspectorate and Lithuanian Public Finance databases.

The research confirms that Lithuanian investments in education positively influence both individual earnings and society at large, mainly due to the low cost of education and the high returns. For individuals, net present value varies from €126,000 to €224,000, and the internal rate of return is from 7% to 46%, with the highest return being for males working in companies of 50–249 employees and holding a bachelor’s degree. It is also noteworthy that one additional year spent in education increases earnings on average by 4.1%. The financing of first cycle studies costs the state two times less than second and third cycle studies. For this reason, the net present value (NPV) and internal rate of return (IRR) of first cycle studies are higher than those of second and third cycle studies.

While higher education is generally and globally seen as a way to ensure financial stability and career advancement at the individual level and socioeconomic development at the national one, the question of cost versus benefits at both levels is principal and diachronic. Our research quantifies the NPV and IRR of education investments and highlights the differential economic returns of various education levels, where policymakers can utilize these insights to inform strategic decisions regarding education funding and resource allocation. This study, therefore, provides explicit quantitative answers and presents individuals and policymakers with tangible results and practicable direction in their decision-making. The findings are applicable to the specific country-focus, but also constitute an applicable case study in the international context, particularly for European and other countries of comparable economic structure and developmental stage.

The paper's goal is to examine and illustrate the useful uses of submodeling in finite element modeling for topology optimization and stress analysis. The goal of the study is to demonstrate how submodeling – more especially, a 1D approach – can reliably and effectively produce ideal solutions for challenging structural issues. The paper aims to demonstrate the usefulness of submodeling in obtaining converged solutions for stress analysis and optimized geometry for improved fatigue life by studying a cantilever beam case and using beam formulations. In order to guarantee the precision and dependability of the optimization process, the developed approach will also be validated through experimental testing, such as 3-point bending tests and 3D printing. Using 3D finite element models, the 1D submodeling approach is further validated in the final step, showing a strong correlation with experimental data for deflection calculations.

The authors conducted a literature review to understand the existing research on submodeling and its practical applications in finite element modeling. They selected a cantilever beam case as a test subject to demonstrate stress analysis and topology optimization through submodeling. They developed a 1D submodeling approach to streamline the optimization process and ensure result validity. The authors utilized beam formulations to optimize and validate the outcomes of the submodeling approach. They 3D-printed the optimized models and subjected them to a 3-point bending test to confirm the accuracy of the developed approach. They employed 3D finite element models for submodeling to validate the 1D approach, focusing on specific finite elements for deflection calculations and analyzed the results to demonstrate a strong correlation between the theoretical models and experimental data, showcasing the effectiveness of the submodeling methodology in achieving optimal solutions efficiently and accurately.

The findings of the paper are as follows: 1. The use of submodeling, specifically a 1D submodeling approach, proved to be effective in achieving optimal solutions more efficiently and accurately in finite element modeling. 2. The study conducted on a cantilever beam case demonstrated successful stress analysis and topology optimization through submodeling, resulting in optimized geometry for enhanced fatigue life. 3. Beam formulations were utilized to optimize and validate the outcomes of the submodeling approach, leading to the successful 3D printing and testing of the optimized models through a 3-point bending test. 4. Experimental results confirmed the accuracy and validity of the developed submodeling approach in streamlining the optimization process. 5. The use of 3D finite element models for submodeling further validated the 1D approach, with specific finite elements showing a strong correlation with experimental data in deflection calculations. Overall, the findings highlight the effectiveness of submodeling techniques in achieving optimal solutions and validating results in finite element modeling, stress analysis and optimization processes.

The originality and value of the paper lie in its innovative approach to utilizing submodeling techniques in finite element modeling for structural analysis and optimization. By focusing on the reduction of finite element models and the creation of smaller, more manageable models through submodeling, the paper offers designers a more efficient and accurate way to achieve optimal solutions for complex problems. The study's use of a cantilever beam case to demonstrate stress analysis and topology optimization showcases the practical applications of submodeling in real-world scenarios. The development of a 1D submodeling approach, along with the utilization of beam formulations and 3D printing for experimental validation, adds a novel dimension to the research. Furthermore, the paper's integration of 1D and 3D submodeling techniques for deflection calculations and validation highlights the thoroughness and rigor of the study. The strong correlation between the finite element models and experimental data underscores the reliability and accuracy of the developed approach. Overall, the originality and value of this paper lie in its comprehensive exploration of submodeling techniques, its practical applications in structural analysis and optimization and its successful validation through experimental testing.

This paper aims to develop and validate a strategy for reducing construction waste (CW) generated during the design process (DP) in architectural design firms (ADFs) in Egypt.

Qualitative and quantitative research methodology was designed to accomplish four objectives. The literature review investigated DP, CW, waste management (WM) and WM strategies (WMS). Three case studies were analysed to investigate the role of WMS towards reducing CW during DP. A survey questionnaire was conducted with a representative sample of ADFs in Egypt to assess their perception and application of WMS during DP. Lastly, a strategy was developed and validated to reduce CW generated during DP.

Through literature review, the research identified the highest 40 causes of CW during the DP and classified them into 13 categories. Despite early promotion of WMS to reduce CW at its source, Egypt and other countries with similar construction market characteristics lack laws and regulations to address CW during the DP, with current codes primarily focusing on post-occurrence issues. In addition, analysis of three case studies showed that CW was reduced by adopting WMS during the DP. Findings of data analysis revealed that ADFs have an average knowledge of WMS and a low awareness of Egyptian laws and WMS during DP. “Prefabrication” was the highest-ranked strategy for CW reduction during DP. Several challenges hamper the implementation of WMS. The “preparation and briefing” was ranked the most common design stage where CW causes occur, while “waiting” was ranked the most common form of CW. These findings informed the research outcome and helped in the development of the proposed strategy.

The proposed strategy was developed taking into account the results of the survey questionnaire which was conducted in ADFs in Egypt where the authors reside, and such a strategy is needed. However, it could be applied in other countries that share the same characteristics of the architectural DP as well as the causes of CW and WMS implementation challenges.

This research presents a practical strategy to reduce CW generated during the DP. It was based on the findings of literature review, case studies and survey questionnaire. The strategy was explained in a workable way to include the required activities; tools and techniques; involved personnel and needed resources. The strategy was validated by a representative sample of ADFs in Egypt to ensure its practicability and viability for implementation towards developing a sustainable built environment. The practical application of the strategy will have long-term and short-term benefits. The long-term benefits include improving the social, economic and environmental aspects of sustainability during the design and construction phases in Egypt. In the short term, application of the strategy will improve the cooperation between design and construction teams, reduce the negative impact of CW production and enhance the quality of construction projects in Egypt.

Despite the need to reduce CW during DP, a practical strategy is lacking in Egypt, where laws are focused on dealing with CW after its existence. This research studied a topic that received scant attention in construction literature. It developed and validated a strategy to reduce CW during DP, which represents a synthesis that is novel and creative in thought and adds value in a manner that has not been previously explored.