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The rapid global use of Financial Technology (FinTech), an innovative and advanced technology, is leading to the replacement of traditional financial services. Despite this, consumers in the United Arab Emirates are still not accepting FinTech services as anticipated. This study aims to investigate the barriers preventing consumers from using FinTech services in the banking industry based on the technology-organisation-environment (TOE) framework and anchored by the unified theory of acceptance and use of technology (UTAUT).

The current study used an exploratory sequential mixed-method design. A purposive sample was used to conduct preliminary semi-structured interviews with ten banking practitioners. These interviews aimed to explore the obstacles that hinder consumers from adopting FinTech services. To provide further empirical validation, the conceptual model has been systematically examined through a quantitative cross-sectional online survey encompassing a sample of 332 bank customers.

The qualitative investigation highlighted six new barriers to the usage of FinTech based on TOE’s model attributes. Through quantitative data analysis, the preliminary qualitative findings were primarily verified. It was discovered that self-efficacy, electronic word-of-mouth, system quality and bank image substantially influence consumers to use FinTech services, in addition to performance expectancy and facilitating conditions. Meanwhile, IT features and governmental support were found to have insignificant effects. Yet, government support was found to have a positive moderating role in strengthening social influence and system quality towards customer use of FinTech. Thus, the research supports the UTAUT and TOE models’ fitness for explaining FinTech usage with high predictive relevance.

This study is the authors’ pioneering effort to propose a comprehensive research framework that integrates the UTAUT and TOE models to tackle the limited adoption of FinTech services among consumers. Moreover, the study specifically examined the moderating influence of government support to propose an integrated model. Remarkably, this study is one of the initial attempts to investigate the adoption of FinTech using a mixed-methodology approach by incorporating quantitative and qualitative methods within a single inquiry to yield more comprehensive and insightful findings than research that relies on a single method.

This study examines the vital factors that influence digital marketing adoption among small travel agencies (brick-and-mortar) and the impact of digital marketing adoption on organizational performance modeled as a formative-formative HOC.

This empirical study builds on diffusion of innovation (DOI) theory and technology-organization-environment (TOE) framework to identify the factors of digital marketing adoption by small travel agencies. Data were collected from 226 small travel agents in India using purposive and snowball sampling. Partial least square-structural equation modelling (PLS-SEM) is used to analyze the reflectively and formatively measured constructs.

The findings reveal significant constructs of digital marketing adoption by small travel agencies. The study also establishes the positive impact of digital marketing adoption on organizational performance. Trust partially mediates the impact of technological factors (relative advantage, security concerns) and organizational factor (knowledge) on digital marketing adoption.

The study provides methodological contribution to the literature by applying confirmatory composite analysis (CCA) approach in PLS-SEM. The study contributes to the literature by integrating DOI theory and TOE framework. The study enriches the literature on trust as it recognizes the crucial role of trust as a mediating construct.

The study provides useful implications to marketing practitioners of small travel agencies. The study shows strong predictive capacity and can be generalized throughout diverse samples.

The study adds value to the literature as it explores the digital marketing adoption among the under researched small travel agencies by integrating DOI-TOE theory. The study uniquely proposes and validates organizational performance as a formative-formative higher-order construct.

This study aims to examine the key antecedents influencing the private firm’s intention to adopt big data analytics (BDA) in developing economies. To do so, the study follows the sequential explanatory approach.

To test the hypothesized model that draws on the technology–organization–environment (TOE) framework paired with the diffusion of innovation (DOI) theory, a purposive sampling technique was applied to gather data from 156 IT and management domain experts from the private firms that intend to adopt BDA and operate in Pakistan’s service industry, including telecommunication, information technology, agriculture, and e-commerce. The data were analysed using the partial least squares structural equations modelling (PLS-SEM) technique and complemented with qualitative analysis of 10 semi-structured interviews in NVIVO 12 based on grounded theory.

The empirical findings revealed that the two constructs – perceived benefits and top management support – are the powerful drivers of a firm’s intention to adopt BDA in the private sector, whereas IT infrastructure, data quality, technological complexity and financial readiness, along with the moderators, BDA adoption of competitors and government policy and regulation, do not significantly influence the intention. In addition, the qualitative analysis validates and further complements the SEM findings.

Unlike the previous studies on technology adoption, this study proposed a unique research model with contextualized indicators to measure the constructs relevant to private firms, based on the TOE framework and DOI theory, to investigate the causal relationship between drivers and intention. Furthermore, the findings of PLS-SEM were complemented by qualitative analysis to validate the causation. The findings of this study have both theoretical and practical implications.

This study aims to focus on the five most relevant and discursive emerging technologies in accounting (cloud computing, big data and data analytics, blockchain, artificial intelligence (AI) and robotics process automation [RPA]). It investigates the adoption and use of these technologies based on data collected from accounting professionals in a technology-developed country – Canada, through a survey.

The study investigates the adoption and use of emerging technologies based on data collected from accounting professionals in a technology-developed country – Canada, through a survey. This study considers the said nature and characteristics of emerging technologies and proposes a model using the factors that have been found to be significant and most commonly investigated by existing prior technology-organization-environment (TOE)-related technology adoption studies. This survey applies the TOE framework and examines the influence of significant and most commonly known factors on Canadian firms’ intention to adopt the said emerging technologies.

Study results indicate that Canadian accounting professionals’ self-assessed knowledge (about these emerging technologies) is more theoretical than operational. Cloud computing is highly used by Canadian firms, while the use of other technologies, particularly blockchain and RPA, is reportedly low. However, firms’ intention about the future adoption of these technologies seems positive. Study results reveal that only the relative advantage and top management commitment are found to be significant considerations influencing the adoption intention.

Study findings confirm some results presented in earlier studies but provide additional insights from a new perspective, that of accounting professionals in Canada. The first limitation relates to the respondents. Although accounting professionals provided valuable insights, their responses are personal views and do not necessarily represent the views of other professionals within the same firm or the official position of their accounting departments or firms. Therefore, the exclusion of diverse viewpoints from the same firm might have negatively impacted the results of this study. Second, this study sample is limited to Canada-based firms, which means that the study reflects only the situation in that country. Third, considering the research method and the limit on the number of questions the authors could ask, respondents were only asked to rate the impact of these five technologies on the accounting field and to clarify which technologies are used.

This study’s findings confirm that the organizational intention to adopt new technology is not primarily based on the characteristics of the technology. In the case of emerging technology adoption, the decision also depends upon other factors related to the internal organization. Furthermore, although this study found no support for the effect of environmental factors, it fills a gap in the literature by including the factor of vendor support, which has received little attention in prior information technology (IT)/ information system (IS) adoption research. Moreover, in contrast to most prior adoption studies, this study elaborates on accounting professionals’ experience and perceptions in investigating the organizational adoption and use of emerging technologies. Thus, the findings of this study are valuable, providing insights from a new perspective, that of professional accountants.

The study findings may serve as a guide for researchers, practitioners, firms and other stakeholders, particularly technology providers, interested in learning about emerging technologies’ adoption and use in Canada and/or in a relevant context. Contrary to most prior adoption studies, this study elaborates on accounting professionals’ experience and perceptions in investigating the organizational adoption and use of emerging technologies. Thus, the findings of this study are valuable, providing insights from a new perspective, that of professional accountants.

The study provides insights into the said technologies’ actual adoption and improves the awareness of firms and stakeholders to the effect of some constructs that influence the adoption of these emerging technologies in accounting.

This study aimed to predict and understand the academic libraries' probability of successful adoption of blockchain within the lens of integrated technology acceptance model (TAM) and technology organization and environment theory (TOE) framework.

A mixed approach was employed to gather data from librarians (292) and system analysts (46) totaling 338 respondents. The total enumeration sampling technique was considered. Qualitative data were analyzed thematically, while quantitative data were analyzed using structural equation model (SEM).

Perceived usefulness and policy are the important factors that influence academic libraries' blockchain adoption intentions. Unlimited access to both print and electronic resources, security of users' information and easy collaboration between users and library staff were found to be the benefits of blockchain application to academic libraries' operations. Major challenges to the adoption of blockchain in academic libraries include the cost of infrastructure related to blockchain applications, privacy issues and a lack of understanding of blockchain technology among librarians.

Future studies would need to include more relevant items to the observed variables of the independent variables that were found insignificant in this study.

The findings of this study will create a roadmap for government and polytechnic management on the factors that could strengthen the adoption of blockchain in the libraries.

The outcome of this study came at a crucial moment when the majority of academic libraries in developing nations like Nigeria were skeptical about the deployment of blockchain technology in their libraries.

The study identified new factors that influence blockchain adoption intention.

This study evaluated the determinants of augmented reality (AR) adoption in Malaysia's travel and tour operator sectors through an integrated technology-organization-environmental (TOE) and diffusion of innovation (DOI) model.

The TOE and DOI were considered the primary theoretical models but are combined and extended by including few additional variables. Data were collected from 220 respondents of travel and tour operating businesses in Malaysia and analyzed by applying PLS structural equation model technique.

The empirical results established that perceived cost, relative advantages, complexity and compatibility, observability, competitor pressure, value alignment, customer pressure, and trialability are positively connected with the behavioral intention except for external support. The results reveal that value alignment partially mediates the association between relative advantages and behavioral intention, complexity and behavioral intention, compatibility and behavioral intention, perceived cost and behavioral intention except in between trialability and observability.

This research is unique as the value alignment construct is included in the model, and thus it fulfills the literature gap by adding the mediation construct. This study contributes to enhancing AR's understanding of the Malaysian travel and tour operator industry through the lenses of owners or managers. It offers an integrated model that combines the TOE and DOI models, rare in this sector, and can be replicated or extended with validated scales.

Adoption of Clinical Decision Support Systems (CDSS) is a crucial step towards the digital transition of the healthcare sector. This review aims to determine and synthesise the influential factors in CDSS adoption in inpatient healthcare settings in order to grasp an understanding of the phenomenon and identify future research gaps.

A systematic literature search of five databases (Medline, EMBASE, PsycINFO, Web of Science and Scopus) was conducted between January 2010 and June 2023. The search strategy was a combination of the following keywords and their synonyms: clinical decision support, hospital or secondary care and influential factors. The quality of studies was evaluated against a 40-point rating scale.

Thirteen papers were systematically reviewed and synthesised and deductively classified into three main constructs of the Technology–Organisation–Environment theory. Scarcity of papers investigating CDSS adoption and its challenges, especially in developing countries, was evident.

This study offers a summative account of challenges in the CDSS procurement process. Strategies to help adopters proactively address the challenges are: (1) Hospital leaders need a clear digital strategy aligned with stakeholders' consensus; (2) Developing modular IT solutions and conducting situational analysis to achieve IT goals; and (3) Government policies, accreditation standards and procurement guidelines play a crucial role in navigating the complex CDSS market.

To the best of the authors’ knowledge, this is the first review to address the adoption and procurement of CDSS. Previous literature only addressed challenges and facilitators within the implementation and post-implementation stages. This study focuses on the firm-level adoption phase of CDSS technology with a theory refining lens.

This study aims to systematically review the current academic literature on the role of technologies in low-carbon supply chain management (SCM), identify and analyse critical themes and propose an integrated conceptual model.

A systematic literature review of 48 papers published between 2010 and 2022 was conducted. A conceptual model was advanced.

Based on the analysis and synthesis of the reviewed papers, this review provides an initial attempt to integrate technology adoption and low-carbon SCM by developing a diffusion of innovation model of technology-enabled low-carbon SCM within the technology–organisation–environment (TOE) framework, in which drivers, enablers and barriers to technology adoption practices are identified. The environmental, economic and social outcomes of adoption practices are also identified.

This study provides a novel and comprehensive roadmap for future research on technology-enabled low-carbon SCM. Furthermore, policy, as well as managerial implications, is presented for policymakers and managers.

There is a growing awareness in today's organizations of the gap between existing digital technologies and those arising from digital innovation that contribute to reducing work exhaustion. However, no comprehensive framework has been proposed for the importance of adopting digital innovation in reducing work exhaustion. The purpose of this paper is to provide a holistic view by proposing a model for the importance of adopting digital innovation technologies and their role in reducing work exhaustion in Iraq as a developing country, and the model was proposed based on the theory of technology-organization-environment and diffusion of innovation.

To collect data, an electronic questionnaire was designed for a survey conducted on 183 Iraqi firms in the industrial sector. For data analysis, the structured equation model was used through the (AMOS. 26) program.

The results revealed the importance and significance of the study model in adopting the cloud of things (CoT) as one of the techniques of digital innovation in reducing work exhaustion.

The authors can conclude that the adoption of the CoT in small and medium enterprises (SMEs) can have a positive impact on the performance of the employees. The adoption of the CoT may provide SME managers with an opportunity to effectively manage various roles and responsibilities. While there were many limitations that this study faced, the authors focused on one type of digital innovation dynamics, which is the CoT, as they must focus on other technologies.

To the best of the authors’ knowledge, this study is one of the first studies in Iraq as a developing country that explains how emerging digital innovation can be leveraged to create innovative digital products and services as a CoT technology and subsequently lead to the reduction of work exhaustion. It also fills the literature gaps related to adoption factors of digital innovation and their role in reducing work exhaustion.

The authors study how cloud adoption decision making unfolds in organizations and present the dynamic process leading to a decision to adopt or reject cloud computing. The authors thus complement earlier literature on factors that influence cloud adoption.

The authors adopt an interpretive epistemology to understand the process of cloud adoption decision making. Following an empirical investigation drawing on interviews with senior managers who led the cloud adoption decision making in organizations from across Europe. The authors outline a framework that shows how cloud adoptions follow multiple cycles in three broad phases.

The study findings demonstrate that cloud adoption decision making is a recursive process of learning about cloud through three broad phases: building perception about cloud possibilities, contextualizing cloud possibilities in terms of current computing resources and exposing the cloud proposition to others involved in making the decision. Building on these findings, the authors construct a framework of this process which can inform practitioners in making decisions on cloud adoption.

This work contributes to authors understanding of how cloud adoption decisions unfold and provides a framework for cloud adoption decisions that has theoretical and practical value. The study further demonstrates the role of the decision-leader, typically the CIO, in this process and identifies how other internal and external stakeholders are involved. It sheds light on the relevance of the phases of the cloud adoption decision-making process to different cloud adoption factors identified in the extant literature.