Structural Modeling Analysis Research Articles

부⋅모⋅자녀의 스마트 기기 의존, 가족과 함께하는 시간의 양, 아동 집행기능 곤란의 구조적 관계 탐색

Objectives The purpose of this study was to explore the structural relationships among fathers', mothers', and children's smart devices dependence, the amount of family time spent together, and executive functioning difficulties.
 Methods Data from 548 pairs of parents and children who responded to all relevant factors in the 13th Korean Child Panel Survey(2020) were analyzed. Reliability analysis for scales, correlation analysis between variables, and descriptive statistics analysis were conducted. Validity was confirmed through measurement model validation, and structural model analysis was conducted by applying the maximum likelihood method (MLB) to the theory-based research model. Afterward, a mediation effect test based on bootstrapping and an individual indirect effect test using phantom variables were conducted.
 Results The results showed that mothers' dependence on smart devices increased children's dependence on smart devices, and the amount of family time spent together reduced both dependence on smart devices and executive functioning difficulties. In addition, children's smart device dependence increased executive functioning difficulties and mediated the relationship between maternal smart device dependence and children's executive functioning difficulties.
 Conclusions Exploration of the structural relationships among the study variables confirmed that maternal and child dependence on smartphones and the amount of family time spent together influenced children's executive functioning difficulties.

Technology Integration in Predicting Financial Performance: Big Data, Intellectual Capital, and Board Diversity

The relationship between technological integration, diversity on the board, and intellectual capital management and how these factors affect the financial performance of Indonesian start-ups is examined in this study. Structural Equation Modeling (SEM) using Partial Least Squares (PLS) approach is used in this work to evaluate the intricate interactions among these critical parameters using a diverse sample of 195 start-ups. A thorough knowledge of the dynamics that influence startups' financial success is facilitated by the use of descriptive statistics, measurement model assessment, and structural model analysis. The findings indicate that there are strong positive correlations between financial performance and board diversity, intellectual capital, and technological integration. Furthermore, the mechanisms involved are clarified by mediation effects. The model explains half of the variance in financial performance (R2 = 0.504) and demonstrates strong predictive relevance (Q2 = 0.354). For practitioners, politicians, and investors navigating Indonesia's competitive start-up entrepreneurship scene, the findings provide insightful information.

The Influence of Internal Audit and Risk Control on Crisis Management in the Tourism Industry in Indonesia

This research investigates the complex interactions between Internal Audit, Risk Control, and Crisis Management in the dynamic landscape of Indonesia's tourism industry. Using a quantitative approach, this study employed Structural Equation Modeling with Partial Least Squares (SEM-PLS) to analyze survey data collected from stakeholders in the industry. Descriptive statistics showed positive perceptions of Internal Audit and Risk Control, with room for improvement in Crisis Management effectiveness. Measurement model assessment established reliability and construct validity, paving the way for robust structural model analysis. The results show that Internal Audit and Risk Control significantly and positively influence Crisis Management. Practical implications include customized strategies for optimal crisis resilience, while policy recommendations underscore the importance of a standardized framework. Despite its limitations, this study contributes valuable insights to the crisis resilience literature, offering a nuanced understanding of the dynamics of Indonesia's tourism sector.

Expediting financial inclusion in Tanzania using FinTech: the perspective of diffusion of innovation theory

PurposeThe purpose of this paper is examining how financial inclusion can be enhanced in rural and remote areas in emerging economies through the adoption of Financial technologies. The study examines the direct influence of technological characteristics, facilitating conditions, trust and perceived risk on adoption of FinTech. Furthermore, the study examines the mediating effects of facilitating conditions and moderating effects of education level in adoption of FinTech.Design/methodology/approachThe study employed quantitative research design. Stratified and simple random sampling were employed to identify areas in which respondents will be collected. Drop and Pick method was further employed to collect 275 valid and reliable responses. Structural equation modeling was used to analyze the data and assess the reliability and validity of the measurement model. Structural model analysis was employed to examine the hypothesized relationship.FindingsThe results show that compatibility, complexity agent trust, perceived risk and facilitating have significant influence on adoption of FinTech. Furthermore, the findings show that facilitating conditions mediate the relationship between all technological characteristics and FinTech adoption except the relationship between compatibility and FinTech. The study also has found that education level moderates the relationship between observability and FinTech adoption as well as trialability and FinTech adoption.Research limitations/implicationsThis study employed cross-sectional research-based techniques in collecting data for analyzing the hypothesized relationship. However, the drawback of cross-sectional may impact the findings of this study over a long time. Therefore, future studies must consider conducting longitudinal studies which may collect data over some time for analysis of the FinTech adoption. Furthermore, the generalization of these findings should be considered carefully by other countries which are not economically similar to Tanzania and developed countries. This also provides room for future studies to examine the same area in countries with different economic development.Originality/valueThis study contributes to knowledge into two folds: First there is limited knowledge on adoption of FinTech in emerging economies; the study addresses the knowledge gap by providing empirical findings which will help scholar. Furthermore, less studies have examined the moderating effects of facilitating condition in adoption of technology. This study addresses the knowledge gap by examining the moderating influence of moderating influence of facilitating conditions. Also, this study provides empirical findings which will help policymakers to implement strategy that will speed-up financial inclusion in rural and isolated areas in emerging economies.

The Effect of Employee Development Policy, Work Environment, and Transformational Leadership on Employee Creativity in Indonesia's Creative Industries

This research investigates the impact of employee development policy, work environment, and transformational leadership on employee creativity within Indonesia's dynamic creative industries. A quantitative analysis employing Structural Equation Modeling (SEM) with Partial Least Squares (PLS) was conducted to analyze data collected from 120 employees across various sectors of the creative industry. Descriptive statistics, measurement model assessment, structural model analysis, and hypothesis testing were employed to examine the relationships between the variables of interest. The results reveal that employee development policy, transformational leadership, and work environment significantly influence employee creativity within Indonesia's creative industries. Specifically, organizations that prioritize employee development, foster transformational leadership behaviors, and provide supportive work environments are more likely to enhance employee creativity. These findings underscore the importance of organizational strategies and leadership practices in fostering a culture of innovation and creativity within Indonesia's burgeoning creative economy.

Analysis of the Impact of Government Policy, Technological Innovation, and Availability of Business Capital on the Growth of Small and Medium Enterprises in Indonesia

This research studies the complex relationships between government policies, technological innovation, availability of venture capital, and the growth of Small and Medium Enterprises (SMEs) in Indonesia. Using Structural Equation Modeling with Partial Least Squares (SEM-PLS), this research analyses data from a sample of 130 SMEs across different industries and regions. The measurement model assessment confirmed the reliability and validity of the constructs, while the structural model analysis revealed significant positive relationships between government policy effectiveness, technological innovation, venture capital availability, and SME growth. The robustness of the findings was confirmed through bootstrapping, and the model fit index validated the adequacy of the estimated model. The R-squared values indicate the ability of the model to explain most of the variance in SME growth. Hypothesis testing further corroborated the significant impact of Availability of Venture Capital, Government Policies, and Technological Innovation on SME growth. The implications of these findings extend to policymakers, business owners, and stakeholders, guiding the formulation of strategies that foster an enabling environment for SMEs in Indonesia.

The Effect of Tax Efficiency, Cash Management, and Investment Policy on the Value of Technology Companies in Bandung

This research investigates the impact of tax efficiency, cash management, and investment policy on the value of technology companies in Bandung through a quantitative survey analysis. The study explores the relationships between these financial constructs and firm value, utilizing Structural Equation Modeling with Partial Least Squares (SEM-PLS) on a diverse sample of 170 technology companies. The measurement model analysis demonstrates the reliability and validity of the constructs, while the structural model analysis reveals significant positive correlations between tax efficiency, cash management, investment policy, and firm value. The demographic characteristics of the sample provide context to the findings. The results have practical implications for strategic financial management in the technology sector, emphasizing the importance of tax planning, cash flow optimization, and prudent investment decisions. Despite certain limitations, the study contributes to the existing literature and opens avenues for future research in the dynamic technology landscape of Bandung.

CNN-based model updating for structures by direct use of dynamic structural response measurements

This study presents a convolutional neural network (CNN)-based model updating method for structures using dynamic structural responses. In the presented method, the dynamic structural response is used directly for model updating, thereby omitting the manual process of extracting modal parameters. In the method, the type of stiffness variable in the target structure for model updating is selected, and a number of candidate models are generated by multiple selected stiffness variables in the structures and possible values of variables. Dynamic structural responses are then extracted by time history structural analysis of the candidate models, and a CNN sets dynamic structural response as input, and information on stiffness variables as output is introduced to learn the relationship between the two data. CNNs trained using dynamic displacement response and dynamic acceleration response are presented as Model_XT and Model_XTa, respectively. The presented models can rapidly estimate stiffness of the target structure by entering dynamic responses into the models. These models are applied to model updating for three example structures, and the stiffness estimation performance for model updating is evaluated. Furthermore, the length of data used for CNN training, the stiffness estimation performance according to the CNN input layer settings, and the stiffness estimation applied with limited data to the updated model are analyzed.

Sustainable Marketing Model: Market Research, Marketing Capability and Entrepreneurial Orientation in Indonesia

This study explores the application of the Sustainable Marketing Model in Indonesia's ever-changing corporate environment. The study involved 275 organizations from a variety of industries, and the sample size was large. This allowed for important insights into how market research, marketing expertise, and entrepreneurial spirit shape sustainable marketing strategies. The associations between the important variables were investigated using measurement model analysis, structural model analysis, and descriptive statistics. Positive developments in sustainable marketing practices are shown by the results, which also show strong and substantial relationships between market research, marketing competence, entrepreneurial orientation, and sustainable marketing. Measures of goodness-of-fit provide evidence for the model's general suitability. Specific tactics to improve market research, marketing skills, and entrepreneurial attitudes are among the implications for firms. The study establishes the foundation for other research projects and adds to the developing field of sustainable marketing in Indonesia

Multiple performance objective design for a sliding isolator with variable curvature

Thanks to its variable mechanical properties, the sliding isolator with variable curvature (SIVC) has recently attracted significant attention in seismic isolation research. Nevertheless, designing an SIVC is a challenging task, as it usually involves more design parameters than a conventional sliding isolator. To expedite the application of SIVCs, this study proposes a systematic design method that enables SIVCs to achieve multiple performance objectives corresponding to dual earthquake levels. The method comprises linear and nonlinear design stages. During the linear design stage, the linearized isolator parameters that comply with the design-basis-earthquake (DBE) and maximum-considered-earthquake (MCE) seismic demands specified in a design code are determined. Subsequently, in the nonlinear design stage, the isolator geometric parameters are determined based on the linearized parameters. While the linear design procedure is generic and applicable to all types of SIVCs, the derived formulas for determining the isolator geometric parameters in the nonlinear design stage are tailored for the polynomial friction pendulum isolator (PFPI). Finally, the proposed method is demonstrated by implementing a PFPI design for a 5-story reinforced-concrete (RC) building. The effectiveness of the proposed design method is validated through dynamic analysis of a hysteretic structural model representing the RC building with two different types of PFPIs subjected to 23 spectrum-compatible ground motions. The results demonstrate that, despite their different mechanical features, both types of PFPIs can accomplish the “preset” DBE and MCE design objectives. Additionally, the simulated results highlight the advantages of using different types of PFPIs.

Comparison of patenting trends and alliance patterns among countries with a majority religion: structural topic model and network analysis

ABSTRACT In our modern, technologically advanced society, 84% of the world’s population holds some form of religious faith. Our history has also witnessed religion and technology having an impact on each other. Assuming the underlying correlation between them, we question whether there are distinguished technological features among countries with strong religions. This study examines the technological trends in countries with a majority religion according to the dominant religion of each – namely, Judaism, Islam, and Hinduism. We applied structural topic modelling (STM) and co-patent network analysis to patents from those countries registered with the United States Patent and Trademark Office between 1965 and 2015. According to the STM results, technologies appear to reflect geographical environments, industrial concentrations, and investments led by governments and private sectors rather than religion. Moreover, countries with a majority religion in our study had mainly collaborated with the United States and European countries, regardless of religious tendency.

Structure-guided mining and engineering of nicotinamide riboside kinase for efficient synthesis of nicotinamide mononucleotide

Nicotinamide mononucleotide (NMN) is a bioactive precursor to nicotinamide adenine dinucleotide (NAD+) and has demonstrated anti-aging activity. Nicotinamide riboside kinase (NRK) can convert nicotinamide ribose (NR) into NMN in one step, but NRKs with high catalytic efficiency are rare and are difficult to engineer. In this study, two novel NRKs from Sparassis crispa and Beauveria bassiana were identified. They displayed impressive specific activities of 6.14 U/mg and 6.66 U/mg with high substrate (NR) conversion rates. Furthermore, structural modelling analysis and semi-rational design were used to develop variants of BEANRK. Variant M1 (V172K) exhibited a 1.2-fold of the wild-type BEANRK (WT) in enzyme activity and 91 % of substrate conversion rate with improved thermal stability compared to WT. Moreover, variants generated from site-specific mutagenesis were also computationally analyzed to elucidate which interactions between key amino residues and substrates facilitated an increase in catalytic activity and conversion rate. This study not only identified new NRKs but also provided insights into which amino acid residues were pivotal to the catalytic activity of NRK, paving the way for future NRK engineering to improve the industrial production of NMN.

Strategic Digital Integration: Unravelling the Impact of Social Media, Data Analytics, and Branding on Sustainable Marketing Strategies and Consumer Engagement in the Tourism Industry in Bali Province

This study examines the complex dynamics of digital integration in Bali's travel and tourist sector, with a particular emphasis on the effects of branding, social media, and data analytics on customer engagement and sustainable marketing tactics. 355 different enterprises in the province responded to a quantitative analysis that was carried out. The structural model analysis validated all of the proposed hypotheses, while the measurement model assessment confirmed the constructs' validity and reliability. The findings highlight the beneficial connections between consumer involvement, branding tactics, data analytics adoption, social media integration, and sustainable marketing techniques. The study's conclusions can be trusted because the model fit indices show a respectable fit. This research highlights the strategic significance of digital integration for sustainability and customer connections, providing useful insights for companies trying to navigate Bali's tourism sector in the digital era.

Structural modeling and gene expression analysis of phosvitinless vitellogenin (vgc) in the Indian freshwater murrel, Channa punctatus (Bloch, 1793)

Vitellogenin (Vg) is a female-specific egg-yolk precursor protein, synthesized in the liver of fish in response to estrogens. In the present study, complete gene of phosvitinless vitellogenin (vgc) was sequenced, its 3D structure was predicted and validated by web-based softwares. The complete nucleotide sequence of vgc was 4126 bp which encodes for 1272 amino acids and showed the presence of three conserved domains viz. LPD_N, DUF1943 and DUF1944. The retrieved amino acid sequence of VgC protein was subjected to in silico analysis for understanding the structural and functional properties of protein. mRNA levels of multiple vg genes have also been quantified during annual reproductive cycle employing qPCR. A correlation has been observed between seasonal changes in gonadosomatic index with estradiol levels and hepatic expression of three types of vg genes (vga, vgb, vgc) during ovarian cycle of murrel. During preparatory phase, when photoperiod and temperature are low; low titre of E2 in blood induces expression of vgc gene. A rapid increase in the levels of E2 favours induction of vgb and vga genes in liver of murrel during early pre-spawning phase when photoperiod is long and temperature is high in nature. These results suggest that among three vitellogenin proteins, VgC is synthesized earlier than VgA and VgB during oogenesis.

Development of a BIM Platform for the Design of Single-Story Steel Structure Factories

Traditional design methods for single-story steel structure factories are characterized by low levels of digitalization and high error rates. To deal with these problems, a building information modeling (BIM) platform for the design of single-story steel structure factories was developed in this paper, which aimed to improve the design process for such structures. Firstly, the components of the factory were categorized, and the Revit API was employed to automate the generation of the BIM model. Load applications and combinations were then established using the Revit API, which relied on a set of predefined parameters. Secondly, this paper proposed the creation of a dedicated database for data exchange between BIM software and finite element analysis software. Additionally, the SAP2000 Open Application Programming Interface (OAPI) was employed for the automated construction and analysis of the SAP2000 structural model. Finally, the innovative use of Dynamo–Revit API hybrid programming allowed for the visualization of internal forces directly within the Revit environment, significantly diminishing the dependency on standalone FEA software. The application results obtained on a project demonstrated that the developed platform markedly improves the efficiency of design single-story steel structure factories and ensures the accuracy of the structural analysis. This confirms that the developed platform can transform the traditional design process by integrating advanced digital tools, thereby providing a novel approach to the design of single-story steel structure factories.

Relationship Between Alexithymia and Mobile Phone Addiction with an Emphasis on the Mediating Role of Anxiety, Stress, and Depression: A Structural Model Analysis

Background: Since the beginning of mobile phone addiction, alexithymia, depression, anxiety, and stress have been mentioned as complications of Internet addiction in various studies; however, the relationship between these variables has not been well investigated. Objectives: This study was conducted to investigate the relationship between alexithymia and mobile phone addiction, emphasizing the mediating role of anxiety, stress, and depression. Methods: In this descriptive-analytical study, 412 students of Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran, were included using an available sampling method in 2019. Data collection tools were the demographic questionnaire, Toronto Alexithymia Scale (TAS-20), Depression, Anxiety, Stress Scale (DASS-21), and Mobile Phone Addiction Index (MPAI). Statistical analysis was carried out using SPSS software (version 22) and Amos software (version 16). A significance level of less than 0.05 was considered. Results: Alexithymia was a predictive factor for mobile phone addiction. Additionally, it had a direct and significant effect on depression (β = 0.540, P < 0.001), anxiety (β = 0.500, P < 0.001), and stress (β = 0.53, P < 0.001). Depression (β = 0.452, P < 0.001), anxiety (β = 0.408, P < 0.001), and stress (β = 0.460, P < 0.001) had a positive and significant effect on cell phone addiction. Conclusions: In this study, alexithymia was a predictive factor for mobile phone addiction. Moreover, the variables of depression, anxiety, and stress play the role of a relative mediating variable between alexithymia and mobile addiction.

Exploring Visitors’ Pro-environmental Behaviors at Urban Forest Destinations

Our theoretical framework was intricately crafted to illuminate the decision-making dynamics of visitors in urban forest destinations. The primary objectives of this study were to scrutinize visitors' pro-environmental behavior (PRB), employing the Theory of Reasoned Action (TRA) as a foundational framework, and extending it by incorporating key factors such as connectedness to nature, biospheric value, environmental empathy, attitude, positive anticipated emotion, moral norms, subjective norms, and natural/local resource conservation intentions, within the unique context of urban forest destinations. Utilizing GSCAM, the framework’s measurement quality is affirmed as being adequate. Findings from the structural model and necessary condition analysis (NCA) robustly supported the hypothesized associations within the proposed theoretical framework. Notably, cognitive and affective appraisals, along with moral considerations, emerged as salient in shaping visitor intentions. Furthermore, empirical support was observed for the hypothesized impact of natural resource conservation intentions on determining PRB, providing nuanced insights into the factors influencing pro-environmental actions in urban forest destinations. This comprehensive approach not only enhances theoretical understanding but also offers practical applications for promoting sustainable behaviors in these unique settings.

Factors affecting small and medium enterprises access to capital: Evidence from Vietnam

Purpose: The capacity of a business to operate and grow depends on its capital, particularly for small and medium-sized businesses (SMEs). However, access to capital sources depends on many factors such as collateral assets, business plans requiring loans, the social relations of business owners, etc. This study identifies factors affecting SMEs' access to capital in Vietnam.
 Design/Methodology/Approach: A typical survey was conducted on 450 SMEs in Vietnam, and structural model analysis methods were employed through PLS-SEM software to analyze the data.
 Findings: Research results show that there are nine groups of factors affecting the ability of SMEs in Vietnam to access capital ranked from high to low level of influence, including (i) operational characteristics of the business, (ii) financial reporting, (iii) financial behaviour of enterprises, (iv) social relations of enterprises, (v) capability of the enterprise, (vi) production and business plan of the enterprise, (vii) ability to adapt to the risks of the enterprise, (viii) characteristics of the business owner and the lowest is institutional environment.
 Conclusion: Regression analysis proved to be useful in identifying nine groups of elements that impact SMEs' access to capital in Vietnam. The study has proposed management implications to improve access to capital for SMEs in Vietnam.
 Research Limitations and Implications: The study selected samples based on the principle of random convenience, so the study's sample does not represent all SMEs in Vietnam according to the distribution of regions and territories where the businesses are located.
 Practical Implications: This research has practical significance in supporting managers at SMEs to make decisions to improve access to capital for businesses contributing to sustainable business development.
 Contribution to the Literature: This research makes a significant contribution to the field of practical research on capital and capital access for SMEs in Vietnam.

Technology exploration of micro, small, and medium enterprises in Kuningan Regency, Indonesia

The purpose of this research is to explore technology use in micro, small, and medium enterprises in Kuningan Regency, Indonesia. The data analysis method used in this study is Structural Equation Modeling (SEM) with programming tools that support primary data analysis in the form of Lisrel 8.8 with the population being UMKM actors totaling 791 people and the sample used was 222 MSMEs offender with random sampling technique. The structural model analysis between the technology learning orientation and the MSMEs performance shows that the estimation coefficient is positive and high at 2.94 with a t-value of 0.77, which means it is significant (the number is greater than 1.96). The results of the structural analysis between Competitive Advantage and MSMEs Performance show a coefficient value of 4.72 and a total value of 0.80. The research is expected to give more insight into the use of technology for MSMEs, especially in Indonesia, and become a reference for future research discussing about similar issues.

확장된 목표지향적 행동모형을 적용한 e스포츠 팬 시청의도 영향 요인 분석

This study was conducted to explore the factors influencing the intention to watch esports leagues among fans. The aim was to identify marketing factors for esports leagues and enhance the sustainability of the esports league. The study targeted adult fans who had experience watching Korean esports leagues. 349 datasets for the final analysis. Data collection and analysis were performed using SPSS 24 and AMOS 22 for Windows, and the methods included frequency analysis, confirmatory factor analysis, correlation analysis, and structural equation path model analysis. The results of the study are as follows. First, attitude, subjective norms, perceived behavioral control, and frequency of past esports experiences had a significant impact on desire. Second, positive and negative anticipated emotions did not have a significant impact on desire. Third, perceived behavioral control, frequency of past esports experiences, and desire significantly influenced viewing intention. This study is significant in that it identified factors that can enhance esports league viewership, improving the sustainability of esports.