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Optimization of FDM process parameters has emerged as a major step toward mitigating the issue of reduced mechanical strength of fused deposition modeling (FDM) products. This study aims to evaluate the impact of process parameters on the mechanical properties of 3D-printed fabric yarns of three different materials, namely, polyethylene terephthalate glycol (PETG), nylon and thermoplastic polyurethane (TPU).

2/1 Twill fabric samples with variations of extrusion temperatures and printing profiles are produced, and the individual yarns, manually separated from the fabric samples, are tested for tensile strength, modulus, strain and energy at maximum force. The tensile test results are further subjected to statistical analysis with MINITAB software to detect the standard level of influence of each parameter and evaluate their significance.

Both extrusion temperature and printing profile, along with their interaction, are significantly important parameters for the mechanical behavior of PETG. However, for nylon and TPU, the influence of a few parameters is found to be insignificant. For all variations of fabric yarns, relatively lower extrusion temperature is concluded to be preferable for better mechanical properties.

This research is new and original. It provides knowledge about how FDM process parameters influence the mechanical behavior of fabrics. It also identifies the optimum process parameters for the best performance of the final product. This article can be a foundation for further parametric analysis of 3D-printed fabric. No artificial intelligence or similar software was used in the preparation of this manuscript.

This study aims to develop cause-and-effect relationships among the critical success factors (CSFs) of fintech adoption and rank these CSFs based on their importance in the model.

To achieve the objectives of the study, the Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL) approach was used. The data was collected from 16 experts using a questionnaire.

The findings demonstrated the interrelationships among the CSFs. In total, 16 critical factors were recognized as causal factors, and the remaining eight were considered effect factors. The CSFs were ranked based on their importance in fintech adoption.

This study is novel as it investigates CSFs of fintech adoption using FDEMATEL, and it contributes to understanding the nature of these factors and how they affect fintech adoption. The findings propose a significant basis to deepen fintech adoption and deliver a clue to design a practical framework for fintech adoption.

This study aims to dissect and understand the latent themes of Islamic work ethic (IWE) and explore the driving factors of IWE research.

Structural topic modeling (STM), a sophisticated machine learning technique, was used to analyze a corpus of 205 articles sourced from the Scopus database. These articles cover the 36 years of research on IWE, from 1988 to 2024. Moreover, negative binomial regression was applied to examine the driving factors of IWE research.

The STM analysis unfolds ten topics in conjunction with IWE including individual success, workplace dynamics, organizational work ethics, knowledge management, employee citizenship behavior, financial ethics, job satisfaction, organizational commitment, performance enhancement and leadership. The further STM outputs included word clouds, prevalence proportions, correlation matrix, heatmap, relationship of topics with metadata, topic prominence in the publishing journals and, finally, illustrating trends and future prospects of research on IWE. The results of negative binomial regression reveal that number of authors, article age, journal indexing, authors from multiple countries and number of references are strong drivers of fostering research in IWE, by having significant positive impacts on total citations.

The insights from this study provide valuable guidance for businesses and organizations looking to integrate IWE principles into their operations. By promoting values such as fairness, hard work and ethical behavior, organizations can foster a more inclusive and morally grounded workplace culture. This, in turn, may lead to enhanced employee satisfaction, greater organizational commitment and improved overall performance. Additionally, the emphasis on ethical practices can contribute to broader societal benefits, such as increased trust in business practices and a stronger alignment with social responsibility initiatives.

This is a unique study that explores the latent themes and characteristics of the IWE literature through STM and provides insights on the future research directions. In addition, this study also examines the driving factors of IWE research.

The importance of smart tourism technologies (STTs) has been rising recently, but how STTs are related to tourists' psychological well-being has got little attention. The study intends to show how STTs increase tourists' psychological well-being by capitalizing on the theory of Tourism 4.0. The study investigates the associations between the factors of STTs with the perceived benefit and, subsequently, perceived benefit with the psychological well-being of tourists. Moreover, this study also examines the moderating impact of a growth mindset (GM) between perceived benefits (PB) and tourists' psychological well-being (TPW) in the tourism industry.

Using a structured questionnaire, 243 responses were collected through the convenience sampling method. Partial least square structural equation modeling (PLS-SEM) was used for the analysis.

Findings show that automation, security/privacy concerns, information accuracy, and personalization are significantly related to the PB of tourists. The results also confirm that a GM moderates the relationship between PB and TPW.

The results show the social and managerial importance of the perspective of tourism in developing countries. Based on the tourism 4.0 concept, this study presents a theoretical contribution by expanding practical information regarding the link between STTs and psychological well-being. Moreover, the study shows some directions to the tour operator about improving PB and psychological well-being. The notion of tourism 4.0 is a new paradigm that seeks to unlock the psychological well-being of visitors through the hyper-interconnectedness of humans and technologies.

This study contributes to prior research on technology-based tourism by exploring the uncharted STT variables, PB, GM and psychological well-being. Moreover, the study makes an empirical effort to conceptualize the tourism 4.0 concept on the proposed relationships. Tourist firms should focus on implementing this theory to develop their business.

This study examines the influence of the stock market on foreign direct investment in developing countries and how government effectiveness moderates this relationship.

The study involved four East African Community countries and a panel dataset from 1995 to 2020. The study utilized feasible generalized least squares (FGLS) as a primary model and panel-corrected standard errors (PCSE) for a robustness check.

The impact of the stock market on foreign direct investment (FDI) is mixed. While value traded, market capitalization and the number of listed companies positively affect FDI, stock turnover has a negative impact. Government effectiveness also positively influences FDI and significantly moderates the relationship with the stock market.

The sample is only limited to stock markets and East African Community countries, and due to the unavailability of data, only four countries were captured.

Stock markets and government effectiveness are crucial for attracting FDI by enhancing the attractiveness of host countries for investment. The policymakers should improve institutional quality, support stock market development, bolster investment appeal and provide an alternative capital source.

Policy formulation should encourage institutional quality practices and support the stock market development that serves as an alternative source of capital.

This paper examines how stock markets impact FDI inflows and investigates the moderating role of government effectiveness in this relationship. The findings reveal that both stock market development and government effectiveness enhance a host country’s attractiveness for inward FDI.

This study develops and tests a model that explores how human capital impacts micro-business performance through the sequential mediation of new technology adoption and entrepreneurial bricolage.

A cross-sectional study was conducted on 508 women entrepreneurs engaged in micro-businesses in Malaysia. This study used partial least squares structural equation modeling to test the hypotheses.

This study demonstrates the significant impact of human capital on micro-business performance. It establishes a sequential mediation model in which technology adoption and entrepreneurial bricolage mediate the nexus of human capital–micro-business performance.

This study contributes to the theory by innovatively integrating human capital, new technology adoption, entrepreneurial bricolage, and microbusiness performance, drawing on the resource-based view and human capital theory. However, its cross-sectional nature limits causal inference, and focusing solely on women entrepreneurs in Malaysian micro-businesses may constrain novelty. Additionally, the reliance on self-reported data introduces bias, emphasizing the need for future research.

Fostering entrepreneurial bricolage and embracing technology adoption can enhance performance. Business managers can optimize strategies by promoting continuous learning, innovative problem-solving, and technological advancements.

This study highlights the potential social and economic impacts of supporting women-owned micro-businesses in Malaysia. Policymakers can promote economic growth, employment, and community well-being by emphasizing innovation, human capital development, and technology adoption in Malaysia’s diverse ethnic contexts.

This study introduces a distinctive serial mediation framework to understand the impact of human capital on micro-business performance. It explores mediation dynamics, extends the knowledge of serial mediation in the human capital-performance relationship of microbusinesses, and contributes to the unexplored roles of technology adoption and entrepreneurial bricolage in Malaysian micro-businesses.

This study aims to examine the mediating role of social influence on the relationship between key predictors of E-pharmacy adoption among young consumers based on the unified theory of adoption and use of technology (UTAUT).

This study employs a quantitative correlational research design. Based on cluster sampling, data was collected from 306 university students from three public universities in southwestern Nigeria. Data was analysed using partial least square structural equation modeling.

The primary determinant driving the adoption of e-pharmacy is performance expectancy. Social influence plays a partial mediating role in linking performance expectancy to e-pharmacy adoption. In contrast, it fully mediates the relationship between effort expectancy, facilitating conditions and the adoption of e-pharmacy services.

This study provides theoretical clarity on recent issues within the UTAUT framework. Findings highlight the complexity of how social factors interact with individual beliefs and external conditions in determining technology acceptance.

Research includes information relevant to access the impact of e-pharmacy services on healthcare accessibility, affordability and quality in developing countries.

The findings extend the adoption of technology literature in healthcare and offer a new understanding of adoption dynamics. The results emphasize the importance of performance expectancy in driving e-pharmacy adoption, providing a clear direction for stakeholders to enhance service quality and user experience of e-pharmacy. Additionally, the mediating effect of social influence highlights the significance of peer recommendations, celebrity endorsements and social media campaigns in shaping consumer adoption of e-pharmacies among young people.

This study aims to examine the relationship between tool adoption and information literacy within smallholder farmers (SHFs).

A structured questionnaire was used to gather data for this quantitative study from 225 SHFs. Structural equation modelling was done to test the hypotheses.

The findings established that tool adoption dimensions (Information and communication technologies (ICT) acceptance, language use and information culture) positively and significantly influenced information literacy. Information culture had the strongest impact.

The study enriches the situated learning theory (SLT) literature by introducing tool adoption as a predictor of information literacy in a new context of SHFs. Use of tools as independent variables is a positive deviation from previous studies that have used them as mediating variables. Despite the contributions, the cross-sectional design study undermines the ability to solicit more detailed perspectives from the lived in experience of the respondents.

Managers should promote usage of context-specific tools like local radio stations and mobile phones, but also use language tailored to farmer contexts when disseminating information. Policymakers should leverage on social and cultural settings when designing information interventions.

The study highlights critical factors that significantly promote information use for improved productivity for SHFs, cumulatively increasing the country’s gross domestic product (GDP). Socially, findings may reduce on their poverty levels of farmers.

This study offers a novel perspective in information literacy domain by using the SLT to delineate contextual tools that are paramount in predicting of information literacy in an under research informal context of SHFs.

The aim of this study is to comprehend the behavioural intention of females' perception toward smart healthcare technology. The study also examines the moderation effect of social influences between perceived smart healthcare technology and perceived usefulness among female users.

To test the model, this study collected data from female respondents (n = 913) responses. The data were analyzed by structural equation modeling (SEM) using Smart-PLS 3.2. To complement the findings from structural equation modeling, the study also conducted a post-hoc test via experimental research design. The authors also applied a t-test and PROCESS macro analysis to re-confirm the relationship mentioned above.

The findings revealed that perceived ease of use significantly mediates the relationship between females' perceived smart healthcare technology and intention to use. The findings also show that social influence moderates between smart healthcare technology and the perceived usefulness relationship.

Social influence is one of the major issues while adopting smart healthcare technology because the respondents perceived that they are accustomed to the technologies related to smart health once their surroundings and social environment influence them.

The current study is a pioneer in the context of a developing country and unique in that it makes two contributions: it extends previous research on smart health technology adoption in the healthcare business by considering females, and it gives a broad knowledge of the female healthcare consumers from emerging nations which can be useful for developing technology-driven healthcare services strategies.

This study aims to advance and analyze the influence that firms’ diversification approach brings to the businesses’ performance via competitive advantage (CA) and access to capital in a developing economy.

Using primary mode, the present study uses the sample of 104 diversified manufacturing firms to analyze the conditional indirect effect of firms’ diversification approach on efficient resource allocation using SAS process macros.

This study corroborates that in the era of uncertainty (when businesses are struggling to survive), a diversification approach can help the firms to build resilience against uncertainties to achieve resource allocation efficiency. Furthermore, findings also reveal that for successful strategic implementation firm’s access to capital (tangible and intellectual capital) play a critical role.

Theoretically, this study has made a sizeable contribution to the resource-based theory of a firm’s literature with a new compositional-based theoretical perspective and also by providing an insight into the relationship between strategic approaches, access to capital and resource allocation efficiency. However, the current study’s ability to provide a deep understanding of the phenomenon was restricted by the lack of data availability and a self-reporting questionnaire approach.

Potential applications of the current research exist for manufacturing industry managers and policymakers to achieve efficiency and CA. This study provides evidence of the obstacles to diversification discounts while allocating resources. At the same time, it provides a crucial connotation for maintaining distinctive tangible and intangible capital for value addition.

The current study fills out by investigating the conditional indirect effect of access to capital in industrial era 4.0. Moreover, according to researchers’ knowledge, this study is the first to establish and empirically investigate a comprehensive model that involves a strategic approach, access to tangible and intellectual capital and performance outcome obtained through the integration of all these crucial factors.