Technology Organization Environment Framework Research Articles

The adoption of big data analytics in Jordanian SMEs: An extended technology organization environment framework with diffusion of innovation and perceived usefulness

While many small and medium enterprises (SMEs)recognize the benefits of Big Data Analytics (BDA) for digital transformation, they face challenges in implementing this technology, highlighting the need for more research on its adoption by SMEs. The objective of this study is to amalgamate the Technology Organization Environment (TOE) framework with the Diffusion of Innovation (DOI) theory, aiming to dissect the factors that sway BDA adoption in Jordanian SMEs. Additionally, the study delves into how perceived usefulness impacts this adoption process. Utilizing structural equation modeling, the study examined data from 388 managers in Jordan. The study validates all its hypotheses, revealing that variables like relative advantage, compatibility, complexity, top management support, competitive pressure, and security influence perceived usefulness, which subsequently has a positive impact on BDA adoption. This research presents a range of theoretical and practical insights.

Acceptance of digital instruments in the accounting profession

The digital transition has affected and continues to affect all sectors of the economy. The COVID-19 pandemic forced many industries, including the accounting sector, to adopt digitization measures to maintain their activity during this restricted period. Innovative systems and advanced technologies thus became indispensable in the accounting profession, and despite its inability to replicate human intelligence, Artificial Intelligence (AI) was swiftly adopted for many accounting processes. The purpose of this study was to explore how the Romanian accounting profession accepted the digital instrument transformation. A deductive approach from the general to the particular was used to highlight the key aspects and their implications in the accounting profession. In addition, the technological acceptance model (TAM) was correlated with the external variables of the technology-organization-environment framework (TOE) to develop 13 hypotheses. A questionnaire was then applied, which validated 9 of these hypotheses. The research results indicated that the digital transition by the accounting profession in Romania is a complex process that is in a preliminary stage compared to that in European Union member states. This study has an inherent series of limitations, which can provide opportunities for future research in the field.

Industry Readiness and Adaptation of Fourth Industrial Revolution: Applying the Extended TOE Framework

The research aspired to determine the effecting determinants of the implementation of Fourth Industrial Revolution (4IR) technologies in the manufacturing industry, examining how 4IR readiness (R) acts as a mediator to facilitate the process of 4IR adaptation (ADP) in Bangladesh. Employing the extended technology–organization–environment (TOE) framework, the research method integrated both quantitative approaches and structured surveys using random sampling approaches to explore the specific determinants that influence the adoption of 4IR technologies. A total of 500 organizations were approached with an online questionnaire, yielding 370 completed responses, a response rate of 74%. After ensuring the reliability and validity of the findings, the structural equation model was analyzed using SmartPLS 4.0 and SPSS 29 with structural equation modeling (SEM). A statistically significant positive correlation was observed among technology readiness (TR), government support (GS), and technology innovation decision‐making (TIDM) on 4IR R, as well as 4IR R on 4IR ADP based on the findings. Practical implications were discussed with a focus on strategic recommendations for policymakers and industry leaders to enhance the structural and supportive infrastructure necessary for 4IR integration. To extend the R and flexibility of the manufacturing sector in anticipation of the 4IR, policymakers must urgently contemplate the expansion of government aid and the formation of expert consulting groups. The originality of this study applied in its ADP of the TOE framework to the context of a developing country, specifically targeting the R factors that facilitate technological ADP in Bangladesh. Unlike traditional models that focus solely on technological adoption, this extended model integrates organizational and environmental factors, offering a comprehensive view of industry R. The findings highlighted the significant positive correlations between technology infrastructure R, governmental support, and decision‐making processes in technology innovation, which distinguish this model by its specific ADP to the developmental and economic conditions in a developing economy like Bangladesh.

Applications of Industry 4.0 for Pandemic Responses and Business Continuity: A TOE-DCV Integrated Approach

The fourth industrial revolution, also known as Industry 4.0, covers a broad range of technologies. The applications of Industry 4.0 help in interconnectivity as well as automation process and support seamless operations. Not many studies have taken place to examine how different applications of Industry 4.0 could help in turbulent situations or in crises like COVID-19 pandemic. Thus, there is a research gap. In such background, the aim of this study is to investigate how different applications of Industry 4.0 could help to respond to such turbulent situation and help in business continuity and sustainability of operations. The present study develops a theoretical model combining technology–organization–environment framework and dynamic capability view to examine the role of Industry 4.0 applications for business continuity and sustainability of business operations especially for managing any turbulent situation like COVID-19 pandemic. The theoretical model was validated using partial least square structural equation modeling technique considering 338 respondents from different industries. The study found that there is a greater need to adopt Industry 4.0 applications for managing business operations during any turbulent situation. The study also found that there is a significant moderating impact of corporate governance in adopting Industry 4.0 applications to manage business operations especially during crisis.

Readiness of Accountans in XBRL

The study aims to determine management's understanding of Extensible Business Reporting Language (XBRL) and investigate the extent to which companies are prepared to adopt Extensible Business Reporting Language (XBRL) as a form of internet-based financial reporting for internal and inter-organizational use of the Technological-Organizational-Environmental (TOE) Framework. This survey is for accountants in Indonesia, totalling 100 people. The data analysis technique in this study uses the structural equation model (SEM) to examine the contracts from the TOE Framework. This theory is used to describe a company's readiness to adopt XBRL as measured by relative usefulness (relative advantage), flexibility (compatibility), and complexity (complexity); organizational constructs, namely expertise (skills) and learning from external sources (learning from external sources); and environmental constructs that are influenced by mimetic pressure, coercive pressure, and normative pressure. The expected results of the TOE Framework can explain the company's readiness to adopt XBRL. The implications of this research provide an overview of the behaviour of accountants in Indonesia in adapting to technological changes.

Investigating the factors affecting the acceptance of blockchain in telemedicine through an integrated model approach

Purpose As a little research has been conducted to understand the factors influencing users’ intentions to adopt blockchain-based telemedicine (BBT), it is important to investigate BBT acceptance as incorporation of blockchain technology can solve telemedicine-related issues. Accordingly, this study aims to investigate the factors influencing behavioral intentions (BI) to adopt BBT. Design/methodology/approach An integrated model comprising the constructs taken from technology–organization–environment framework, technology acceptance model, unified theory of acceptance and use of technology and theory of planned behavior based on their relevance to the context and the objectives of the study has been used for this research. A quantitative approach has been used to test the hypotheses, for which the data was collected from 324 respondents through a self-administered questionnaire. Partial least squares structural equation modeling has been used to test the hypotheses. Findings The results of the study show that relative advantage, perceived usefulness, trust and perceived ease of use have a significant impact on BI to adopt BBT, whereas regulatory support, subjective norms and facilitating conditions do not have any significant impact on the same. Research limitations/implications As the concept of BCT in Pakistan is at its nascent stage and literature regarding this technology’s adoption is also limited, researchers and scholars can apply it to several other fields in Pakistan. For example, this study can be extended to explore the factors influencing blockchain adoption in areas such as education, logistics, transportation, finances and management. This research only considers the direct effects of constructs on BI to adopt BBT and does not consider any mediation and moderations constructs. Future researchers can also study the influence of mediation and moderation constructs on BI to adopt BCT. Originality/value Although studies on the acceptance of telemedicine exist, there is a gap concerning the acceptance of BBT, which the current study helps to bridge. From a practical standpoint, the current study makes a highly valuable contribution toward understanding acceptance factors for BBT projects, leading to help policymakers devise policies to promote telemedicine.

Improving Open Government Data Performance of Local Governments: A Configurational Analysis Based on TOE Framework

Open Government Data (OGD) is leading the way towards digitization, intelligence, and transparency of public services and government decision-making. Aiming at elucidating the configurational path of OGD performance of local governments, this paper employs the technology-organization-environment (TOE) framework and the fuzzy set qualitative comparative analysis (fsQCA) to explore the key factors and configuration paths of OGD performance from the cases of 31 provincial OGD practice in China. Results indicate that OGD performance depends on the combination of technical, organizational, and external environment conditions, and that there exist substitution relationships among the various preconditions for the improvement of OGD performance, including information infrastructure, technology application capability, data resources, economic strength, policy regulations, and inter-government competition, as discussed in previous TOE based research. Specifically, seven configuration paths are identified to achieve high-level OGD performance, namely, Technology-Organization-Environment combined driven, Economy-Talent-Demand driven, Institution-Data-Policies driven, Institution-Economy-Demand driven, Organization-Policies-Competition driven, Data-Economy-Demand driven, and Data-Policies-Competition driven. This research is of particular significance to achieve high-level OGD performance for local governments with different resources and environments.

Comparative Analysis of Digital Application Usage in Micro Enterprises and Small Medium Enterprises

This study aims to analyze the factors that influence the use of digital applications in Micro Enterprises (UMi) and Small and Medium Enterprises (SMEs/UKM) in Indonesia, using the TOE (Technology-Organization-Environment) framework. Through a quantitative approach, this study collected data from 426 MSMEs and analyzed it using the Partial Least Square-Structural Equation Modelling (PLS-SEM) model. The results show that technological factors are the dominant factors in the use of digital applications in MSMEs. However, there are significant differences in the influence of these factors between UMi and UKM. In UMi, technological factors are more prominent, while in UKM, organizational factors are more influential as determinants of digital application use. UMi focuses more on the technological aspect of digital app usage, while UKM prioritize organization as the main driver. This study provides important insights into the dynamics of digital app usage among MSMEs and the strategic differences between UMi and UKM, offering guidance for the development of more effective and scale-appropriate technology strategies.

How technology, organization and environment affected open government data during COVID-19: the moderating role of pandemic severity

PurposeWith the worldwide open government data (OGD) movement and frequent public health emergencies in recent years, academic research on OGD for public health emergencies has been growing. However, it is not fully understood how to promote OGD on public health emergencies. Therefore, this paper aims to explore the factors that influence OGD on public health emergencies.Design/methodology/approachThe technology–organization–environment framework is applied to explore factors that influence OGD during COVID-19. It is argued that the effects of four key factors – technical capacity, organizational readiness, social attention and top-down pressure – are contingent on the severity of the pandemic. A unique data set was created by combining multiple data sources which include archival government data, a survey of 1,034 Chinese respondents during the COVID-19 outbreak and official COVID-19 reports.FindingsThe data analysis indicates that the four factors positively affect OGD, and pandemic severity strengthens the effects of technical capacity, organizational readiness and social attention on OGD.Originality/valueThis study provides theoretical insights regarding how to improve OGD during public health emergencies, which can guide government efforts in sharing data with the public when dealing with outbreak in the future.

Videoconferencing continuance and business trip reduction in the post-pandemic age

Videoconferencing (VC) software was widely adopted by organizations during the COVID-19 pandemic to maintain business communication during the suspension of business travel. In the post-pandemic age, will organizations continue to use VC software, and how will VC continuance influence the number of business trips? We conceptualize business travel as a communication problem and conduct an empirical study to investigate the use of VC during the COVID-19 pandemic and its impact on future business travel. We identify the technology–organization–environment framework as a theoretical tool to guide our research design. Using a sample of business managers in Hong Kong and the United States and the seemingly unrelated regression methodology, we identify the relative advantage, top management, and competition intensity factors that support VC continuance and business trip reduction in the post-pandemic age. This study enhances research on information systems continuance and provides practical implications for business trip planning.

ICT Adoption in TVET Sector of Pakistan

This research examines the challenges that impede the adoption of Information and Communication Technology (ICT) in the field of Technical Education and Vocational Training (TVET) accredited institutions in the Punjab, Pakistan and explores the potential of ICT to improve the TVET sector and alleviate poverty. The study employs a descriptive survey design, which is a type of research used to identify current conditions, processes, and relationships, as well as to determine the key characteristics of variables of importance in each context. The focus of the study is to analyze the adoption rates of ICT in TVET institutions and to validate the Technology Organization Environment (TOE) framework for the TVET sector, which aims to incorporate ICT. The scope of this research is to identify challenges that hinder the adoption of ICT, assess the levels of availability and usage of ICT, and determine what is needed by TVET-accredited institutions to overcome these challenges. With the aid of ICT, everyone who interacts with TVET institutions can process, store, retrieve, and transfer information, which can improve the quality of education and help alleviate poverty in Pakistan.

Determinants of Big Data Analytics (BDA) Adoption among Small and Medium Enterprises (SMEs)

Businesses must be innovative in the current "knowledge-based economy" if they intend to create and maintain a competitive advantage over rivals. The adoption of big data analytics (BDA) is thus revolutionary for precise decision-making and top performance in the present industrial environment. BDA application has attracted interest particularly due to the prospects and benefits that may be realized from its utilization in both academic and practical circles. Nevertheless, its adoption in small and medium-sized (SME) businesses is unknown thus far, prompting this study. To determine the determinants influencing SME preparedness to adopt BDA, the current study used the Technology Organization Environment (TOE) framework. The results supported the positive effects of BDA adoption on organizational marketing and financial performance in SMEs. Hence, understanding the factors influencing BDA acceptance enables managers to undertake the right initiatives, which are essential for its successful implementation. The outcomes also render it possible for BDA service providers to draw in and spread its prevalence among SME businesses.

Drivers of generative artificial intelligence to fostering exploitative and exploratory innovation: A TOE framework

This research work aims to investigate the antecedents of generative artificial intelligence (GEN-AI) adoption, and exploratory and exploitative innovation. A conceptual model based on the technology-organization-environment (TOE) framework is proposed and tested empirically using online survey-based data collected from 260 managers and administrative employees located in the Jordanian retailing industry. To achieve the objectives of this work a covariance-based- structural equation modelling (CB-SEM) was employed. The results indicate that relative advantage, top management support, organizational readiness, and customer pressures positively influence GEN-AI adoption. The empirical results demonstrated that the influence of compatibility and competitive pressures on GEN-AI adoption are insignificant. It was found that complexity negatively influence of GEN-AI adoption, also the findings confirm the positive impact of GEN-AI on both exploratory and exploitative innovation. The findings of the existing research would be valuable for GEN-AI technology providers, managers and top management in the retail firms sector in terms of building effective procedures to promote the successful adoption of GEN-AI technologies and innovation.

Artificial intelligence in innovation management: A review of innovation capabilities and a taxonomy of AI applications

AbstractArtificial intelligence (AI) is a promising generation of digital technologies. Recent applications and research suggest that AI can not only influence but also accelerate innovation in organizations. However, as the field is rapidly growing, a common understanding of the underlying theoretical capabilities has become increasingly vague and fraught with ambiguity. In view of the centrality of innovation capabilities in making innovation happen, we bring together these scattered perspectives in a systematic and multidisciplinary literature review. The aim of this literature review is to summarize the role of AI in influencing innovation capabilities and provide a taxonomy of AI applications based on empirical studies. Drawing on the technological–organizational–environmental (TOE) framework, our review condenses the research findings of 62 studies. The results of our study are twofold. First, we identify a dichotomous view of innovation capabilities triggered by AI adoption: enabling and enhancing. The enabling capabilities are those that research identifies as enablers of AI adoption, underscoring the competencies and routines needed to implement AI. The enhancing capabilities denote the role that AI adoption has in transforming or creating innovation capabilities in organizations. Second, we propose a taxonomy of AI applications that reflects the practical adoption of AI in relation to three underlying reasons: replace, reinforce, and reveal. Our study makes three main contributions. First, we identify the innovation capabilities that are either required for or generated by AI adoption. Second, we propose a taxonomy of AI applications. Third, we use the TOE framework to track trends in the theoretical contributions of recent articles and propose a research agenda.

Antecedents and Consequences of ICT Adoption in MSME

The Fourth Industrial Revolution stimulated by digital transformation hasimproved the way we live in this world, do our jobs and communicate with each other. The businesses have started to use ICT extensively to improve operations.In fact,Van et al. (2003) findings revealed that investments in technologywere a significant factor in United States better productivity growth than that of Europe in late 1990s.Thus, it becomes imperative for developing nations to devoteresources and adopt ICT in order to increase productivity and beat competition. The present research is an attempt to understand the factors that determine the adoption of ICT by MSMEs that enable them to perform better inemerging economies like India. The present study uses Technology Organisation Environment framework to elicit factors that determine ICT adoption intentions in MSMEs. The results reveal the relative advantage, compatibility of technology and management support have a strong impact on ICT adoption intention of MSMEs. Also complexity of technology has a significant inverse (negative) impact on ICT adoption intention while as decentralised decision making has no impact on ICT adoption intention. Lastly the firms that have high ICT adoption intention tend to have better firm performance.

Critical factors influencing the adoption of building information modelling (BIM) using technological adoption framework and structural equation modelling

PurposeThis paper studies the critical factors from the perspectives of technological quality, personal compatibility and organisational commitment using the technological adoption framework (TAF). The proposed TAF studies the critical factors that influence the intention to use building information modelling (BIM) taking into consideration of the “Perceived Ease of Use (PEU)” and “Perceive Usefulness (PU).”Design/methodology/approachThe proposed study is a quantitative research study using the TAF model and the statistical analysis using “Partial Least Squares-Structural Equation Modelling (PLS-SEM).” The questionnaires are developed based on the literature review study and disseminated to the stakeholders in the Malaysian construction industry, including consultants, contractors, and clients. The data collected are analysed using PLS-SEM to identify the correlation between the critical factors influencing BIM adoption and the moderation influence of the PEU and PU towards the “Intention to Use (IU)” BIM.FindingsThe data collected from 185 construction industry stakeholders in Malaysia was utilised to develop the structural equation model. The measurement model was analysed in terms of composite reliability, discriminant validity, and collinearity issues. Subsequently, the SEM is analysed, and the findings on the hypothesis on the correlation between the critical factors and the intention to use BIM are examined. The study also examines the mediation effects of the PEU and PU towards the BIM adoption in the Malaysian construction industry.Originality/valueThis research conceptual framework, TAF, is derived from the integration of the existing underpinning theories of the technological adoption model and the technology–organisation–environment framework. This new TAF can be used for the study of new technology adoption. This cross-sectional research study is in line with the “Construction 4.0 Strategic Plan” in Malaysia to establish the current BIM adoption scenario and formulate the framework to promote incentives to promote BIM adoption.

Understanding barriers affecting the adoption and usage of open access data in the context of organizations

Data and information are growing exponentially due to advances and innovations in information and communication technologies. This growth forces organizations to gain new capabilities to compete or stay current in their marketplace. Open Access Data (OAD), resulting from the open source movement, is seen as a double-edged sword from the management perspective. It can potentially provide enormous social and economic value, such as transparency, participation culture, innovativeness, and accountability to organizations, governments, and, more importantly, citizens. Although the benefits of organizational adoption are significant, most OAD-related projects fail cause of organizational barriers and resistance to adoption. This study first aims to find these organizational barriers on adopting OAD to raise awareness of the obstacles organizations must overcome. Towards this aim, after conducting a systematic literature review (SLR) and an expert panel, a research model based on the Technology – Organization – Environment (TOE) framework is proposed in this study. As a result of SLR, 97 barriers were identified from ten primary studies. After critically examining these barriers, a research model classifying 22 crucial barriers to organizational OAD adoption based on the TOE framework is proposed. Another significant contribution of this study is to draw attention to under-researched barriers in the literature, such as Power and Control, Political Commitment, Inter-Organizational Trust, IT Governance, and Competitive Pressure.

The Impact of Social Media Adoption on SMEs’ Performance: A TOE Framework Content Analysis

This content analysis aims to investigate how the Technology-Organization-Environment (TOE) framework can be used in the field of business management. The selected articles were confined within TOE framework, social media adoption as the mediator and small and medium sized-enterprises’ (SMEs) performance in Kelantan, Malaysia. A total of 15 articles were regarded as fitting the scope. The articles were analysed using the QSR NVivo 10 software in which coding and categorisation of the attributes according to the list of nodes were performed. As a result, the content analysis suggests that technological, organizational and environmental context sub-dimensions could be considered for the TOE framework in future research. Apart from that, future researchers could refer to the frequency analysis performed on those 15 articles in providing practical recommendations and guidelines for SME managers to effectively leverage social media platforms to enhance performance within the TOE framework. Overall, this research provides a comprehensive and systematic approach to studying the impact of social media adoption on SMEs’ performance.

Does digital transformation matter to green innovation: based on TOE framework and configuration perspective.

Green innovation is a guarantee for achieving high-quality economic development. However, the complex cause-and-effect relationship between digital transformation and green innovation has not been systematically studied. Digital transformation not only is about technology but also requires organizational and environmental support. Therefore, this study investigates the relationship between digital transformation and green innovation based on the TOE (technology-organization-environment) framework and configuration theory. A fuzzy set qualitative comparative analysis of data from 1948 listed companies reveals that, first, there is no necessary condition that leads to high green innovation, but digital achievements play a more general role in leading to high green innovation; second, three paths to achieve high green innovation are identified. These different configurations indicate multiple paths and complex cause-and-effect relationships to achieve high green innovation. Third, green innovation is a digital technology-based innovation, but in most cases, it also requires organization and environment support. This study can provide some theoretical and practical guidance for enterprises to enhance their green innovation capabilities through digital transformation and promote the achievement of high-quality company development.

How to improve the smart construction technology usage behavior of construction enterprise employees? — TOE framework based on configuration study

PurposeDespite smart construction technology's great potential to improve the productivity of the architectural, engineering and construction (AEC) industry, the implementation of smart construction technology has failed to achieve the expected benefits due to the negative usage behaviors of construction enterprise employees. This study aims to identify the determinants and their configuration effects on the smart construction technology usage behavior (SCTUB) based on the Technology-Organization-Environment (TOE) framework. This study then verifies the practical paths to improve the employee's SCTUB from the configuration perspective.Design/methodology/approachA mixed-method approach involving survey and qualitative comparative analysis (QCA) is conducted in this study. Based on the detailed literature review and semi-structured interview, this study identifies the factors and proposes the TOE framework to determine the configuration conditions affecting employee's SCTUB and verify practical paths to promote this user behavior.FindingsThe TOE framework's technical, organizational and environmental elements are interdependent. The emergence of a high SCTUB is not determined by a single determinant but by configuration conditions. Four equifinal conditions (e.g. organization-technology type, technology-organization type, environment type and organization-technology balanced type) are verified to promote construction enterprise employee's SCTUB.Practical implicationsThe four verified configuration conditions could guide construction enterprises to formulate complementary strategies for promoting the construction enterprises' employees to implement smart construction technology and achieve the enterprise's digital transformation.Originality/valueThe inter-dependence of the three-dimension factors, namely technical, organizational and environmental elements are explored to enrich the literature on the TOE framework. Meanwhile, the configuration effects of these factors on usage behavior are identified, expanding the literature on the information technology acceptance model.