ICT Adoption Intention Among Household-owned Tourism Businesses in the Era of Digital Transformation

This study examines the determinants of Artificial Intelligence (AI) adoption and its influence on employee engagement in Egyptian organizations, utilizing the Technology–Organization–Environment (TOE) framework. Based on survey data from 210 professionals across various industries and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM), the findings reveal that relative advantage, compatibility, and top management support significantly drive AI adoption. In contrast, complexity, security/privacy concerns, organizational readiness, competitive pressure, and external and government support do not show significant effects. Furthermore, AI adoption demonstrates a positive but modest impact on employee engagement, suggesting the presence of other contributing factors. These results reflect the unique socio-economic conditions in Egypt, where internal organizational factors outweigh external influences in shaping technology adoption. The findings have practical implications for organizations and policymakers, emphasizing the need to prioritize internal drivers—such as leadership commitment, perceived benefits, and system compatibility—when promoting AI adoption. Additionally, organizations should align AI initiatives with employee needs and workplace culture to enhance engagement outcomes.

The research aims to explore the technological, environmental and organizational factors that influence digital technology adoption in the small and medium enterprises (SMEs) sector in developing countries. A conceptual framework is proposed that combines the technology-organization-environment (TOE) framework and diffusion of innovation (DOI) theory to explore the determinants of digital technology, for example, information and communication technology (ICT) applicability in SMEs. In addition, this study identifies the major barriers to implementing ICT in the SMEs sector. A purposive 535 sample was accumulated from higher- and middle-level managers of SMEs firms through a structured questionnaire. Data and hypotheses were analyzed using partial least squares-structural equation modelling. Results show that relative advantage, complexity, observability, perceived cost, top management support, innovativeness of top management, competitive pressure and government support have significant determinants of ICT adoption in SMEs. Besides, compatibility, perceived trialability and organization readiness have not significantly influenced to use of ICT in SMEs. This research has crucial implications for practising managers, policymakers and SMEs business owners. To the best of the authors’ knowledge, this study is perhaps one of the first empirical surveys that widely provides a theoretical framework regarding ICT adoption in SMEs in Bangladesh.

Introduction: Cloud Accounting Information Systems (AIS) show a crucial role in boosting business competitiveness by delivering fast, accurate, and reliable financial data to support informed decision-making. Despite government efforts to encourage adoption, the use of AIS among Jordanian businesses remains relatively limited, hindering its potential to enhance overall performance Objectives: This paper discovers how CEO characteristics—specifically innovativeness, information systems (IS), and trust in technology—along with environmental factors like competitive pressure and government support, influence the adoption of AIS in Jordanian companies across various industries. Methods: Data were gathered through a structured questionnaire using a seven-point Likert scale, targeting CEOs and business owners from small, medium, and large enterprises in Jordan. Out of the responses collected, 315 usable questionnaires were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results: The findings reveal that CEO innovativeness, IS knowledge, trust in technology, as well as competitive pressure and government support, all have a significant positive impact on AIS adoption. Notably, this study is the first to investigate the role of CEO characteristics within the AIS context. Conclusions: The results offer valuable theoretical and practical insights for managers and business leaders, highlighting the key drivers behind successful AIS implementation and its potential to improve a firm's competitiveness and overall performance.

E-government represents a global initiative that leverages information and communication technologies (ICTs) to enhance public service delivery and strengthen interactions between governments and citizens. While adoption is critical to realizing the potential benefits of e-government, research from the demand-side perspective remains limited, particularly regarding how individuals engage with these systems, the factors shaping their trust, and the role of media in promoting awareness and uptake. This study examines the influence of media exposure on e-government adoption by assessing its impact on trust, perceived ease of use, satisfaction, relative advantage, complexity, and observability. A quantitative survey was conducted among residents of the Rabat-Salé-Kénitra region, and the proposed model was tested using Partial Least Squares Structural Equation Modeling (PLS-SEM). The model demonstrated robust reliability (Cronbach’s alpha = 0.710), and ANOVA results (p < 0.001) confirmed the substantial explanatory power of the independent variables in predicting adoption. The model accounted for 65.7% of the variance in adoption and 67.2% in trust. Media exposure and digitalization exerted strong positive effects on trust, which emerged as the most influential predictor of adoption. Additionally, observability and relative advantage positively influenced adoption, whereas complexity had a negative effect. Notably, 72.86% of respondents expressed an intention to adopt e-government services in the future. These findings underscore the pivotal role of media as a catalyst for digital transformation and offer actionable insights for policymakers aiming to enhance citizen trust and engagement with e-government services.

Central bank digital currency (CBDC) serves as a transformative instrument for advancing digital strategies within enterprises, increasingly becoming an integral component of organizational digital initiatives. Nevertheless, the current adoption rate of CBDC among firms remains notably low, highlighting the significant practical importance of examining the factors that influence the intention to utilize CBDC from the corporate perspective. This article focuses on CBDC as the subject of investigation and, utilizing the Technology-Organization-Environment (TOE) framework in conjunction with managerial capabilities, develops a theoretical model to understand the intention to adopt CBDC. Furthermore, the Partial Least Squares Structural Equation Modeling (PLS-SEM) method is employed to empirically analyze the determinants influencing firms’ intentions to adopt the e-CNY, using data collected from pilot cities involved in China’s CBDC initiative. The findings reveal that the adoption of CBDC issued by central banks is primarily driven by organizational factors, such as organizational readiness and top-management support, while environmental factors, including vendor partnerships and market uncertainty, exert a secondary influence. Technical considerations appear to have minimal impact on the intention to adopt CBDC, with complexity identified as the sole factor negatively associated with this intention. Although managerial attributes do not directly affect a firm’s propensity to use CBDC, both technical and organizational elements can exert indirect influence. This study provides valuable insights to assist firms in making informed decisions and strategically allocating resources in the context of utilizing central bank digital currency.

This study investigates the effects of financial technology, business innovation, and e-commerce on the performance of Micro, Small, and Medium Enterprises (MSMEs). The study adopts a quantitative approach using data from MSMEs fostered by PT. Bukit Asam Tbk, analyzed through the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. The findings demonstrate that the utilization of financial technology, innovative business practices, and e-commerce significantly contributes to improving MSME performance. The study highlights that digital adoption and innovation are vital strategies for sustaining competitiveness in the era of digital transformation.

Small and medium-sized enterprises (SMEs) operating in Thailand’s food manufacturing sector face increasing pressure to embrace digital transformation. This study explores the critical factors influencing digital transformation in SMEs, focusing on digital organizational culture, knowledge acquisition, and organizational readiness. Drawing upon the Technology–Organization–Environment (TOE) framework, we investigate the relationships between digital organizational culture, knowledge acquisition, organizational readiness, and digital transformation. Data were collected from 198 food manufacturing SMEs using purposive sampling and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Our findings underscore the pivotal role of digital organizational culture and knowledge acquisition in facilitating digital transformation within Thai SMEs. We also reveal that organizational readiness acts as a full mediator, significantly impacting the success of digital transformation initiatives. Practically, this study highlights the importance of fostering a robust digital organizational culture through collaborative efforts and advocating for knowledge exchange from external sources. Additionally, it emphasizes the need for SMEs to allocate resources and prioritize readiness for change to ensure seamless digital transformation. Theoretically, our research contributes to a deeper understanding of the digital transformation journey within the context of SMEs in the food manufacturing industry. By aligning with the TOE framework, we provide valuable insights tailored to SMEs, offering guidance for navigating the complexities of digital transformation in today’s rapidly evolving business landscape.

The purpose of this study is to empirically test and explore the relationship between external TOE factors (Technology, Organization, and Environment) with cloud accounting adoption and the post-adoption impact on the performance of Micro, Small and Medium Enterprises (MSMEs) in Denpasar. This study uses PLS-SEM (Partial Least Squares-Structural Equation Modeling) and FsQCA (Fuzzy-set Qualitative Comparative Analysis) methods. The sampling technique used in this study was purposive sampling, with a sample size of 250 MSMEs calculated using the Hair et al formula and not limited to the industrial sector. The results showed that all aspects have a significant influence on the adoption of cloud accounting, in accordance with the referenced TOE model. The use of the FsQCA method shows that organizational readiness, complexity and competitive pressure are core factors in decision making related to cloud accounting adoption, while other aspects such as Relative Advantage, Compatibility, Security Concern, Top Management Support, Coercive pressure and Vendor Support serve as supporting factors. The model in this study proved to be statistically significant and able to explain most of the variations in the data collected.

In the era of digital transformation, the adoption of cloud-based accounting has emerged as a strategic solution to enhance the operational efficiency of Micro, Small, and Medium Enterprises (MSMEs). This study aims to examine the role of cloud-based accounting in improving operational efficiency and to identify the mediating and moderating factors that influence this relationship. Using a quantitative approach, data were collected from 220 MSME respondents across various sectors in Indonesia. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) through SmartPLS 4.0. The results reveal that cloud-based accounting adoption significantly and positively affects operational efficiency by reducing processing time, minimizing costs, and increasing accuracy in financial management. Furthermore, digital literacy and organizational readiness are found to be strong predictors of adoption, while perceived usefulness and ease of use mediate the impact of adoption on efficiency. The study integrates the Technology Acceptance Model (TAM) and Technology–Organization–Environment (TOE) frameworks, providing both theoretical and practical insights. These findings suggest that MSMEs should strengthen their digital competencies and infrastructure readiness, while policymakers and software providers should promote inclusive digital transformation programs to maximize the benefits of cloud accounting for MSME sustainability.

This study aims to identify the key factors influencing the adoption of generative AI (GenAI) by Vietnamese banks and highlight the challenges and opportunities in digital transformation. It extends the technology-organization-environment (TOE) framework to incorporate GenAI-specific factors in the Vietnamese banking sector, characterized by rapid digitization and stringent regulations. A survey yielded 236 valid responses. The data were analyzed via partial least squares structural equation modeling (PLS-SEM). The key factors identified include organizational readiness (OR), compatibility (CPT), competitive pressure (CP), complexity (CPL), relative advantage (RA), firm size (FS), and government support (GS). OR emerged as the most influential factor because of a robust IT infrastructure and skilled personnel. CPT and CP were also significant, driving banks to adopt GenAI for a competitive edge. However, CPL presents challenges, requiring simpler AI solutions and clear risk mitigation policies. This study enhances the understanding of GenAI adoption within the Vietnamese banking sector, emphasizing the importance of tailored strategies for different bank sizes and the critical role of technology readiness for effective integration. The findings provide actionable insights into banks navigating their digital transformation journeys.

Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example

The use of information technology (IT) to support the business organization's performance is one thing that needs to be done by the large-scale industrial sector and small industrial sector (MSMEs) to face global competition. As a developing country, Indonesia's MSMEs sector is still not fully adopting IT in the business process. Culinary MSMEs is one of the industries that require IT in facing global competition. The technology adoption in culinary MSMEs in Indonesia needs to be balanced with research to find solutions to the factors that influence culinary MSMEs in adopting IT. This research performed a quantitative approach using an online questionnaire survey with 101 respondents. It relied on SmartPLS to perform the Partial Least Square-Structural Equation Modeling (PLS-SEM) data processing. Nine factors were suspected as factors influencing IT adoption on MSMEs in culinary: relative advantage, compatibility, ease of use, top management support, ICT experience, firm size, government support, customer pressure, and competitor pressure. Based on the research result, the accepted factors that drive culinary MSMEs to adopt IT are compatibility, ICT experience, and customer pressure. Generally, they become prioritized aspects when MSMEs want exploit IT adoption towards digital transformation.

Objective - The global expansion of container shipping has intensified challenges related to empty container logistics, significantly impacting supply chain efficiency and costs. In Vietnam, like in other regions, the repositioning of empty containers incurs high expenses and inefficiencies in the supply chain. To optimize container utilization and mitigate these challenges, Container Round-Use Platforms (CRUPs) have emerged as innovative solutions. Methodology/Technique – This study aims to identify factors influencing the adoption of Container Round-Use Platforms in the Vietnamese supply chain and examine the relationship and degree of influence between these factors and the platform’s adoption. Employing the Technology-Organization-Environment (TOE) framework, the research explores contextual factors at the firm level that influence technological innovation adoption. The data was collected through an online survey with the participation of 349 valid respondents during July 2023. Finding – The survey data are analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that factors, including cost, ease of use, usefulness, relative advantage, firm size, top management support, and workforce, significantly influence the adoption of the Container Round-Use Platforms. By exploring these factors comprehensively, this research not only validates established adoption drivers but also unveils novel insights into enhancing CRUPs adoption strategies in Vietnam. Novelty – This study contributes uniquely to the literature by bridging theoretical gaps and offering practical implications for stakeholders seeking to enhance logistical efficiency and sustainability through advanced technological solutions in container logistics. Type of Paper: Empirical JEL Classification: L91, O33, R41 Keywords: Container Round-Use Platforms, PLS-SEM, TOE framework, Vietnam, Vietnamese supply chain. Reference to this paper should be referred to as follows: Nguyen, D.H; Goldwasser, B. (2024). Exploring Factors Influencing Vietnamese SMEs’ Container Round-Use Platform Adoption, GATR-Global J. Bus. Soc. Sci. Review, 12(2), 67–73. https://doi.org/10.35609/gjbssr.2024.12.2(2)

While the potential of Information and Communication Technology (ICT) to enhance sustainable development is recognized, research on its contribution to sustainability remains fragmented. This study explores the impact of ICT adoption on the ecological, economic, sociocultural, and political dimensions of sustainability in Poland. It employs a survey of 390 randomly selected enterprises and uses Partial Least Squares Structural Equation Modeling (PLS-SEM) for data analysis. The findings reveal that ICT management significantly promotes all dimensions of sustainability. ICT quality affects ecological, economic, and political sustainability, while information culture enhances sociocultural and political sustainability. ICT outlay has a limited impact, primarily on ecological sustainability. This research provides valuable insights into leveraging ICT for sustainable development, offering guidance for both enterprises and policymakers.

The present investigation explored behaviours towards Information and Communication Technology (ICT) among 239 primary teachers (59.4% male, 40.6% female) in Dammam, Saudi Arabia. A convenience sampling technique was used to choose the sample. Based on the Decomposed Theory of Planned Behaviour (DTPB) model, the study addressed a research gap investigating technology adoption in a centralised education system. The analysis employed Partial Least Squares Structural Equation Modelling (PLS-SEM) and the mediating effects of attitudes on the path between perceived ease of use towards ICT (β = 0.131, p = 0.003) and perceived usefulness of ICT (β = 0.386, p < 0.001) and behavioural intention towards ICT was statistically significant. Subjective norms mediated peer (β = 0.128, p < 0.001) and superior (β = 0.070, p = 0.001) influences on behavioural intention; however, student influence was not significant, contrary to a similar Western investigation. The results indicate that behavioural intention significantly predicts actual use (β = 0.305, p < 0.001). Contrary to DTPB theory, the results indicate that perceived behavioural control did not mediate any relationships. The model explained 26.1% of the variance in ICT use (R² = 0.261), lower than that identified in a related Western investigation. A notable distinction with differences identified in explanatory power (R²) and predictive relevance (Q²) indicated some theoretical constraints. The findings highlighted the compatibility assumptions associated with technology adoption in a centralised education system. The recommendations highlighted the importance of modifying teachers' attitudes and developing peer networks, rather than providing resources, to increase technology use within the Saudi educational system. Keywords: ICT usage, attitudinal beliefs, subjective norms, perceived behavioural control, the DTPB model, Saudi primary education.