Technology Organization Environment Research Articles

Multiple Paths to Green Building Popularization Under the TOE Framework—A Qualitative Comparative Analysis of Fuzzy Sets Based on 26 Chinese Cities

Green buildings are a crucial element in achieving sustainable development. The use of green buildings can save energy and reduce greenhouse gas emissions. Promoting the widespread adoption of green buildings has become a significant concern in many countries or regions. Although previous studies have identified a range of key factors influencing the promotion of green buildings, further analysis of the combination of these critical factors needs to be conducted. Therefore, based on the technology–organization–environment (TOE) framework, this study utilizes the fuzzy-set qualitative comparative analysis (fsQCA) method to analyze survey data from 26 cities in China, resulting in four high-level configuration paths for the widespread adoption of green buildings. The results indicate that (1) achieving high levels of widespread adoption of green buildings does not depend on any single factor; instead, it relies on the collaborative interaction of multiple elements across technological, organizational, and environmental dimensions; (2) the potential substitution relationships between conditional variables among different configurations within the TOE framework indicate that science and technology expenditure and gross domestic product play more significant roles in the path combinations for the promotion of green buildings; (3) through the study of the substitutive relationships of four configuration paths, it was found that when a city faces challenges in the widespread adoption of green buildings, such as an insufficient number of green building technology patents or underdeveloped green finance incentive systems, it can still achieve efficient green building adoption by formulating corresponding policies and enhancing cultural value guidance for groups like developers, contractors, and consumers. Conversely, the same is true. This paper explores the combination of critical factors in green building adoption, providing insights into addressing the differing foundational conditions of cities in the process.

ФАКТОРИ НА ЦИФРОВАТА ТРАНСФОРМАЦИЯ

The digital transformation is profoundly changing organizations and creating new comparative advantages but also necessitating new approaches to management and organizational strategy. The majority of research on business’ digital transformation focuses on technological adoption, innovation, value creation and the dynamic capabilities of organizations. However, the question of why different organizations approach the digital transformation in various ways remains less explored. This article examines the possibilities of inferring various factors that have an impact on the adoption of digital technologies in order to improve the understanding of organizations' digital transformation strategies. Factors such as size, internationalization, research and development (R&D) expenses, foreign direct investment (FDI), turnover, wages and salaries have an expected impact on the adoption of new technologies in an organization and its digital transformation. This is supported by organizational theories such as the resource-based view (RBV), the knowledge-based view (KBV) and the technology-organization-environment (TOE) frameworks. Through examples from the scientific literature, a summary is provided on how the study of the interrelationships between these factors and organizations’ digital transformation can contribute to a better understanding of the different strategies in this field.

The Impact of Technological-Organizational-Environmental (TOE) Factors on Homestay Performance

Homestay have been a part of the tourism industry for a long time, however, their prevalence is still lower than the other travel-related services. Determining the factors that homestays should have to improve their performance and level them with other tourism services is the goal of this pilot study. Thus, this study aims to investigate how homestay performance can be improved by using the TOE Framework. To do this, a self-administered questionnaire was distributed among 50 homestay coordinators in the pilot study. To verify the validity and internal consistency of the measures, a few tests were carried out on the data by using SPSS 29 software. The three factors examined in this study which are technology, organization and environment factors were all determined to be significant. The findings show that homestays should give each of these factors top priority if they want to improve their performance and stay competitive in the tourism industry. In conclusion, the uniqueness of this study has contributed to the development of the most effective homestay business plan and provided empirical data for the study, both of which are essential resources for decision-makers engaged in the execution of future research.

Research on the Configuration Path of Innovation Performance of Strategic Emerging Enterprises

As vehicles for implementing innovation-driven strategies, the strategic emerging industries are crucial for enhancing national competitiveness and sustainable development. Improving innovation performance in these industries has been a central focus of academic research. Notably, existing studies have primarily analyzed the net effects from a single perspective. This study examined 261 strategic emerging Chinese enterprises listed on the A-share market. Utilizing the Technology–Organization–Environment framework and fuzzy set qualitative comparative analysis, this study explores the impact paths and mechanisms of the coupling configurations of technology, organization, and environment to enhance enterprises’ innovation performance from a configuration perspective. We discovered that, first, no single antecedent condition is necessary to achieve high enterprise innovation performance. However, increasing the level of digital transformation and intensity of innovation investments universally results in high innovation performance. Second, the technological, organizational, and environmental conditions exhibit “multiple concurrency”, forming diverse configurations that drive enterprise innovation performance; hence, the driving paths of enterprise innovation performance are varied. Third, four schemes exist for achieving high innovation performance in strategic emerging enterprises: environment-driven under technological dominance, technology–organization driven type, organization-driven under technological–environmental dominance, and technology–organization–environment co-driven type. Exploring the synergistic paths driving innovation performance from a configuration perspective enhances our understanding of the complex interactions among multiple factors in improving such performance. This provides significant theoretical and practical implications for enterprises aiming to improve their innovation performance.

Analysing the influence of digital strategy and innovation on MSMEs' performance in emerging countries

Drawing on the technology–organization–environment (TOE) framework, the diffusion of innovation (DOI) theory and the technology acceptance model (TAM), this research analyses how digital strategic orientation has a direct influence on the performance of micro, small and medium‐sized enterprises (MSMEs) in emerging markets and an indirect influence mediated by innovation. Using a representative sample of Peruvian MSMEs, we shed light on the sometimes inconclusive evidence on why small business struggle to benefit from digitalization, a particularly key issue in emerging economies. The structural equation model used shows that the impact of digitalization on firm performance is significant, as is the mediating effect of innovation. Our results imply that the total effect of digitalization on performance will be greater if the MSMEs develop innovative activities. Furthermore, we show that the performance effect requires not only digital technology but also the involvement of the entire organization.

The Driving Factors and Path Selection for the Development Level of China’s Mariculture—A Dynamic Analysis Based on the TOE Framework

Mariculture is a key practice to promote the supply-side reform of fishery, and it is of strategic significance to explore the causes and paths of its high-level development. Based on the TOE (Technology-Organization-Environment) theoretical framework and the configuration methodology, this paper adopts the dynamic qualitative comparative analysis (QCA) method and panel data from 10 coastal provinces and cities in China from 2013 to 2021 to explore the configuration effects of six antecedents, namely, the intensity of technology promotion, investment in scientific research, personnel specialization, industry intensification, nearshore water quality, and offshore pollution discharge, along temporal and spatial dimensions, on the level of mariculture development. The results show that (1) individual driving factors do not constitute the necessary conditions for a high level of mariculture industry development, but the necessity of the three conditions—research funding, industry intensification and nearshore seawater quality—shows a general increasing trend; and (2) the results of the path analysis show that a total of seven configuration paths for a high level of development are generated, which can be further classified into “organization-led and technology synergistic”, “technology-organization-environment multiple-driven type”, and “technology-environment dual-driven type”. Based on the panel data, this study explores the impact of spatial and temporal changes in factor combinations on the development level of mariculture and provides a theoretical basis and practical insights for the development of locally adapted execution pathways.

Chatbots adoption intention in public sector in Malaysia from the perspective of TOE framework. The moderated and mediation model

Purpose This paper aims to investigate the motivating factors for Malaysian governmental agencies (MGAs) to embrace chatbot technology. Design/methodology/approach Based on the technology-organisation-environment (TOE) framework, using purposive and snowball sampling techniques, 262 online data from the MGA top management were gathered. Smart PLS4 was employed to test the hypotheses of the study. Findings The findings demonstrated positive relationships between technological readiness (TR), big data analytics (BDA), organisational readiness (OR), organisational learning capabilities (OLC) and governmental policies (GP) concerning chatbot adoption intention and also the relationship GP with OR. A mediating effect was also observed, which indicated the OLC role in positively mediating BDA, the OR role in positively mediating OLC and the OR role in positively mediating GP with OR and OLC as sequential mediators in the relationship between BDA and chatbot adoption intention. Furthermore, the presence of citizen demand (CD) strengthened the relationship between TR, OR and chatbot adoption intention. Research limitations/implications This study was limited to Malaysian federal government agencies who still not adopting Chatbots. Practical implications The findings offer valuable insight into factors affect the adoption of chatbots among Malaysian government agencies. Stakeholders, including department heads, can use these findings to strategically enhance counter service by promoting chatbot adoption. Originality/value The study demonstrated that the TOE framework was effective in identifying the factors contributing to the decision-making process for adopting chatbots across MGAs. Organisational readiness and organisation learning capability was found to sequentially mediate the relationship between big data analytic and intention to adopt chatbot. Citizen demand was found to have moderation effect on the relationship between organisational readiness and technological readiness towards the intention to adopt a chatbot.

Open Source Software Adoption in the Financial Services Industry

Although OSS has gained traction across industries worldwide, few studies have been reported on OSS adoption in the financial industry and even less in the context of developing countries. This paper presents an exploratory overview of the state of OSS adoption in the financial industry using the case of South Africa as a country with the largest and most developed financial sector in Africa. To achieve this, we conducted a qualitative study that leveraged the Technology-Organisation-Environment (TOE) framework, and the Diffusion of Innovation (DOI) theory as theoretical references and used thematic analysis to analyse the data collected from a focus group discussion (FGD) of eight experts from four financial services organisations based in South Africa. The study's findings reveal the state of practice of OSS and the technological, organisational, and environmental factors that affect OSS adoption, and diffusion in financial services organisations in South Africa. We also identified seven research themes that should gain the attention of researchers from now on.

Organizational Factors Influencing Data Analytics Adoption in SMEs

Small and medium-sized enterprises (SMEs) can use analytics tools to use data for strategic decision-making, but their adoption remains limited because of several issues. This study conducts a systematic literature review spanning the years 2018 to 2024 to investigate how the adoption of data analytics factors influences the widespread utilization of Technology-Organization-Environment (TOE) and Diffusion of Innovation (DOI) frameworks within SMEs. After a rigorous selection procedure, 25 relevant publications were found on Web of Science and Google Scholar, providing insight into significant factors impacting adoption initiatives. The study highlights the significance of top management support, organizational readiness, rivalry, and relative advantage in fostering successful adoption campaigns within SMEs. By arranging and categorizing these variables, this study offers important perspectives to scholars and industry professionals, empowering them to formulate informed choices and tactical plans for the implementation of data analytics in SMEs.

Empirical insights into business intelligence adoption and decision-making performance during the digital transformation era: Extending the TOE model in the Jordanian banking sector

Organisations have been increasingly adopting decision support and business intelligence (BI). However, there is still considerable academic interest in comprehending the factors that influence the decisions to embrace such technologies. Moreover, the use of BI in developing countries, like Jordan, is remain at an early stage. This study examines the factors that impact the adoption of BI in the banking sector. This research also examines at the impact of BI adoption on decision-making performance in Jordan commerce banks. A conceptual framework was formulated as an extension of the Technology-Organization-Environment (TOE) framework to determine how technological, organizational and environmental factors influence the adoption of business intelligence (BI) in the banking sector. An empirical analysis was conducted with a sample of employees working for Jordanian commercial banks. Hypotheses were analysed through partial least squares structural equation modeling (PLS-SEM) using 251 responses that were obtained from respondents using an administered a questionnaire. The outcomes display a significant positive relationship between the TOE factors and the adoption of BI, which emphasizes their criticality as far as shaping BI adoption in commercial banks is concerned. However, it could be noted that organisational readiness related to one of the organisation’s factors has not been found to affect BI adoption. This suggests that further scrutiny is required on specific organisational aspects that can impact on BI adoption in banking environments. Moreover, the study revealed that the adoption of BI greatly improves decision-making performance. These findings highlight the importance of the Jordanian banking sector embracing a complete approach that incorporates cutting-edge technology solutions, a conducive organisational culture, and adaptability in order to maximise the adoption and use of BI. This report provides significant insights for banks aiming to improve their adoption of BI and perform informed and data based decisions in the continually evolving banking sector. The study provides numerous theoretical and practical contributions, acknowledges its limitations, and offers possibilities for future research.

EXPLORING DIGITAL MARKETING ADOPTION DYNAMICS IN PAKISTANI STARTUPS THROUGH THE TECHNOLOGY-ORGANIZATION-ENVIRONMENT (TOE) FRAMEWORK

This study investigates the factors involved in digital marketing adoption among small and medium startups (SMSs) in Pakistan using the Technology-Organization-Environment (TOE) framework. Data were collected through an online survey from 409 startups based in Karachi, Pakistan, and structural equation modeling (SEM) was used for analysis. Results indicate SMSs prioritize internal capabilities and resources for digital marketing adoption over external factors. Key factors identified in digital marketing adoption include technology knowledge, compatibility and cost while the effect of technology complexity was found to be insignificant. Top management support and digital marketing orientation were also crucial, highlighting the importance of strategic leadership and a focused digital approach. These findings highlight the distinct characteristics of SMSs compared to established SMEs, providing insights for developing targeted strategies and regulations to support the startup ecosystem. The research contributes to understanding the unique challenges and factors influencing digital marketing adoption in startups, paving the way for better and effective support mechanisms.

The role of institutional innovation and artificial intelligence in the corporate eco-innovation - a case study of high-tech enterprises in Liaoning province of China

This research investigates the intricate interplay of institutional factors and technological adoption in the context of corporate ecological innovation. Grounded in the New Institutionalism Theory and the Technology-Organization-Environment (TOE) framework, the study explores how formal and informal institutional innovations shape the behavior and capabilities of companies engaged in ecological innovation in Liaoning Province, China. Furthermore, the research examines the role of Artificial Intelligence (AI) in promoting ecological innovation. The study classifies AI into three categories: data analytics and predictive AI, automation and intelligent production AI, and customer service and user experience AI. These dimensions are investigated in terms of their influence on ecological innovation, revealing how each element contributes to enhancing companies' capabilities in addressing ecological challenges. The research proposes hypotheses regarding the positive influence of these AI dimensions on ecological innovation outcomes. The findings from this research contribute to the education of the intricate dynamics between institutional innovations, technological adoption, and corporate ecological innovation. The insights garnered are crucial for policymakers, businesses, and researchers striving to cultivate sustainable practices and innovation in ’the contemporary economic and environmental milieu.

What helps Agile remote teams to be successful in developing software? Empirical evidence

Software development firms have specific goals but today's dynamic business environment, especially regarding the use of remote teams, presents great challenges due to uncertainties and multiple risks. This study investigates the facilitators of the success of Agile software development projects delivered by remote teams. We employ a conceptual research model founded on the technology-organization-environment (TOE) framework. The study contributes to the literature by exploring how remote teams affect the success of Agile software development projects. Partial least squares structural equation modeling (PLS-SEM) analysis of the data collected from 198 IT professionals revealed that perceived pressure from government, job performance, and team satisfaction are significant in explaining these projects’ success.

A Systematic Review of Organizational Resilience Through Digital Technology Adoption: Trends and Insights in a Decade

Numerous organizations have been compelled to adopt new ways of managing work and the environment because of the pandemic. Understanding the resilience dynamics during the adoption of digital technology is more important than ever considering challenges like terrorism, economic recessions, mass migration, cyberattacks, and a variety of other socio-political and economic trends. Reviewing publications that examine the connection between digital technologies and organizational resilience from 2014 to 2024 is the goal of this project. The PRISMA approach was used to conduct a systematic review. 47 relevant papers were found as a consequence of this, most of which came from the Scopus database. This implies that academics are engaged in the subject. The papers consistently cited the diffusion of innovation (DOI) theory and the technology-organization-environment (TOE) framework, with a bias towards quantitative research methods. Five major themes emerge from the analysis: digital transformation, organizational resilience, business performance, innovation, and adoption of digital technology. By providing new perspectives, the study closes gaps in the literature. It was believed that the Journal of Technological Forecasting and Social Change was a valuable source of information on studies on digital adoption. Based on the results, the report offers recommendations and points up directions for future research to increase organizational resilience by utilizing digital technology. Organizations may leverage digital technology to effectively overcome obstacles and prosper in a constantly changing landscape by implementing these suggested practices.

Enhancing readiness degree for Industrial Internet of Things adoption in manufacturing enterprises: An integrated Pythagorean fuzzy approach

This study proposes a hybrid multi-criteria decision-making (MCDM) methodology designed to enhance the readiness for adopting the Industrial Internet of Things (IIoT) in manufacturing enterprises. The Pythagorean fuzzy approach is employed to address uncertainty and imprecision throughout decision-making processes. The development framework in this study incorporates TOE (Technology-Organization-Environment) and HOT fit (Human-Organization-Technology) to pinpoint barriers to IIoT adoption. Additionally, a triple helix model (THM) emphasizing on the synergy among university-industry-government is utilized to formulate pragmatic strategies. The agro-food processing industry in Thailand is used as a case study. In this study, even barriers are identified and validated through the Delphi method. The SWARA (Step-wise Weight Assessment Ratio Analysis) method determines the importance weights of these barriers, revealing “lack of digital culture”, “lack of knowledge and expertise,” and “job displacement concerns” as the three most critical barriers. The COBRA (COmprehensive Distance Based Ranking) method is employed to prioritize pragmatic strategies under THM, indicating that the role of the university in enhancing human capital capabilities is the most important, followed by the government's roles in enabling national ICT infrastructures and offering investment incentives as the second and third pragmatic strategies, respectively. A sensitivity analysis validates the proposed framework's reliability and robustness. The study's findings emphasize the potential of this integrated framework to guide future research endeavors among scholars and academicians across diverse industries beyond agri-food processing.

What drives the development of digital rural life in China?

Background and objectiveEmpowering rural life through digital technology reflects the collective aspirations of millions of farmers striving for a better quality of life. Ensuring that the benefits of digital advancements reach every corner of the population is a crucial and inevitable choice. To expedite the establishment of an inclusive digital life for all citizens, the Chinese government has exerted substantial efforts by positioning the development of digital villages as a national strategy. Through comprehensive initiatives in digital village construction, facilitating the extension of "Internet+" services such as education, healthcare, transportation, and entertainment to rural areas. 24-hour digital village libraries, smart health stations, intelligent homes, facial recognition payments, unmanned supermarkets, and a variety of digitized, networked, and intelligent lifestyle applications are increasingly prevalent in Chinese rural regions. The digital gap between urban and rural areas in China is gradually diminishing, and the ongoing evolution of rural digital lifestyles paints a picturesque picture of an enhanced rural life. This study endeavors to provide a meticulous analysis of the digital landscape in Chinese villages, seeking to unravel the intricacies behind the swift development of rural digital life. MethodsUsing the top 100 counties in China's 2020 Rural Life Digitization Index ranking as case studies, this research collected the necessary data through industry research reports and official statistical sources. To begin with, based on the Technology-Organization-Environment (TOE) analysis framework, variables such as digital infrastructure, government policy support, funds are put into utilization, digital economy level, and farmer digital literacy were identified. The fuzzy set qualitative comparative analysis (fsQCA) method was then employed to recognize the influencing factors of rural digital life and combinations of condition variables. Subsequently, utilizing the system dynamics methodology, the relationships between factors were analyzed, simulating changes in rural digital life development to gain a deeper understanding of the key elements affecting rural digital life. Sensitivity analysis was conducted to further reveal the extent of influence of these key elements on rural digital life. ResultsThe fuzzy set qualitative comparative analysis reveals that the evolution of rural digital life in China is a complex outcome influenced by the simultaneous interplay of multiple factors. It demonstrates a pattern of diverse combinations and parallel pathways encompassing various variables. Among these configurations, six paths stand out with the highest coverage. These six paths can be further classified into three modes of rural digital life development in China: environment-empowered type, organization-pushed type, and compound-driven type. Further dissection of causal combinations through a system dynamics model unveils that the progression of rural digital life is intricately linked to key factors such as information infrastructure, policy intensity, and digital learning and development. Over time, there is a discernible upward trajectory in the level of rural digital life, characterized by an accelerating pace of improvement. The influence of policy intensity on rural digital life surpasses that of information infrastructure and digital learning and development, indicating that policy intensity exerts the most significant impact overall. ConclusionThe evolution of rural digital life in China is a complex, long-term process propelled by a combination of multiple factors. China's experience demonstrates that achieving high-level development in rural digital life demands attention not only to the synergistic interplay of various factors but also a strategic focus on leveraging specific key elements. This entails skillfully integrating diverse factors and identifying pivotal areas to maximize the impact of relevant conditions to the greatest extent possible.

Technological, organisational and environmental drivers of sustainability in hotels

Purpose: This study aims to analyse the position of 155 hotel managers in Africa and Asia about implementing sustainability practices (SP) focussing their competitive advantage (CA). Sustainability practices and CA are explained through the technology-organisation-environment (TOE) framework within the hospitality, tourism and travel industries.Design/methodology/approach: The Structural Equation Model based on Partial Least Squares (SEM-PLS) methodology was applied to hotels in African countries, including South Africa, as well as Asia. Six variables were analysed in order to study the impact of SP in CA.Findings/results: Findings imply that technological advancements, organisational commitments and environmental considerations collectively foster robust SP in emerging economies. The adoption of eco-friendly technologies (TS), the integration of sustainable policies (OS) and adherence to environmental regulations (ES) collectively contribute to the sustainability goals of hotels.Practical implications: The study reveals that hotels in emerging markets should strategically emphasise the TOE framework to enhance SP and CA. Investing in advanced technologies, implementing effective organisational practices and adhering to environmental standards significantly improve sustainability performance.Originality/value: While the TOE model has been extensively studied across various industries, limited research has explored its application in tourism. This study uniquely investigates how SP can enhance CA in the tourism sector through comparative analysis.

Adoption Intention of Blockchain Technologies for Sustainable Supply Chain Management in Indian MSMEs

This study explores the determinants of the intention to adopt blockchain technology for sustainable supply chain management in Indian micro, small, and medium enterprises. Different from existing studies that advocate the use of socio-technical theory for blockchain technologies, we develop a new theoretical framework, called “SOS,” based on a review of the existing literature. This is an adaptation of the technology–organization–environment framework that examines the measures and scales from socio-technical, organizational, and sustainability contexts. We use ADANCO 2.3.2 for variance-based structural equation modeling. The results show that two of the nine hypotheses are negatively significant, while the rest are positive. In our context, social sustainability and computer self-efficacy are strongly negatively significant for the adoption intention of blockchain technology in our context. Software quality and environmental sustainability are strongly positively significant. Meanwhile, collaboration, economic sustainability, and relative advantage mediated by experience are positively significant. Our study contributes to the literature by offering a new theoretical framework, fresh insights from the Indian industry, and several recommendations to practitioners.

Readiness of big health data analytics by technology-organization-environment (TOE) framework in Ethiopian health sectors

BackgroundBig health data is a large and complex dataset that the health sector has collected and stored continuously to generate healthcare evidence for intervening the future healthcare uncertainty. However, data use for decision-making practices has been significantly low in developing countries, especially in Ethiopia. Hence, it is critical to ascertain which elements influence the health sector's decision to adopt big health data analytics in health sectors. The aim of this study was to identify the level of readiness for big health data analytics and its associated factors in healthcare sectors. MethodsA cross-sectional study design was conducted among 845 target employees using the structural equation modeling approach by using technological, organizational, and environmental (TOE) frameworks. The target population of the study was health sector managers, directors, team leaders, healthcare planning officers, ICT/IT managers, and health professionals. For data analysis, exploratory factor analysis using SPSS 20.0 and structural equation modeling using AMOS software were used. Result58.85 % of the study participants had big health data analytics readiness. Complexity (CX), Top management support (TMS), training (TR) and government law policies and legislation (GLAL) and government IT policies (GITP) had positive direct effect, compatibility (CT), and optimism (OP) had negative direct effect on BD readiness (BDR) ConclusionThe technological, organizational, and environmental factors significantly contributed to big health data readiness in the healthcare sector. The Complexity, compatibility, optimism, Top management support, training (TR) and government law and IT policies (GITP) had effect on big health data analytics readiness. Formulating efficient reform in healthcare sectors, especially for evidence-based decision-making and jointly working with stakeholders will be more relevant for effective implementation of big health data analytics in healthcare sectors.

Measuring Hotel Financial and Non-Financial Performance in Thailand: The Application of Technology-Organization-Environment (TOE) Framework

Guided by the Technology-Organization-Environment (TOE) framework, the current study aims to test the impacts of organizational factors, technological factors, and environmental factors on the financial and non-financial performance (or goals) of hospitality firms. Unlike several empirical studies in the past, this study attempted to compare the effects of these factors on financial and non-financial performances. The authors proposed the contributions with clearer and more specific recommendations and a greater understanding of how managers can improve and adjust their strategic plan and implementation to achieve long-term firm performance. The data analysis was structural equation modeling. Prior to the data analysis, reliability and validity tests were conducted to certify the quality of the data. After screening the data carefully, based on 350 hospitality firms in Thailand, including 3–5-star hotels in Thailand representing all parts of the country, the results indicated that organizational factors and technological factors had significant effects on both financial and non-financial performance. The environmental factor demonstrated no significant effect on financial and non-financial performance. Moreover, for the theoretical contribution, this study provided empirical research by applying the TOE framework in the context of the hospitality industry, presenting that organizational factors and technological factors had significant impacts on the firm performance. Discussion with the past literature provided deeper insights into the findings. Research conclusions and practical recommendations were also provided.