Understanding determinants of cloud computing adoption using an integrated TAM-TOE model

The mediating role of satisfaction in the relationship between perceived usefulness, perceived ease of use and students' behavioural intention to use ChatGPT

ChatGPT is a highly sophisticated AI language model that can revolutionize students' learning experiences by providing much-needed assistance and information. Given the growing trend of educational institutions integrating AI technologies into their teaching and learning processes, it is crucial to understand the factors that would lead to the acceptance and use of these technologies by students. Using a technology acceptance model, this study investigated the mediating role of satisfaction in the relationship between PU, PEU, and behavioral intention to use ChatGPT for student learning. This study used a quantitative research approach, and data were gathered from 297 students using a structured questionnaire. The analysis was conducted using structural equation modelling (SEM) in AMOS Version 26. The results indicated that PU and ease PEU significantly influenced student satisfaction. PU significantly influenced behavioral intentions to use ChatGPT. However, PEU had no direct impact on students' behavioral intention to use ChatGPT. Satisfaction had a significant influence on students' behavioral intention to use ChatGPT. Moreover, satisfaction was confirmed as a significant partial mediator between PU and behavioral intention, as well as a full mediator of the relationship between PEU and behavioral intention. These findings underscore the need to make ChatGPT more useful in academic environments to facilitate increased engagement among students and achieve better learning outcomes. This study enhances the literature on technology acceptance in the context of education, particularly regarding the application of AI tools in learning spaces.

An integrated approach to modeling the influence of critical factors in low-carbon technology adoption by chemical enterprises in China

Adopting low-carbon technology has become a critical method for enterprises to reduce carbon emissions and combat global warming. However, the willingness of high-energy-consuming and high-emission enterprises, such as those in the chemical industry, to adopt this technology is not high. Therefore, how to effectively stimulate these enterprises to develop and apply low-carbon technology has become an urgent challenge. This paper adopts a three-phase integrated approach to explore the influence of critical factors in the adoption of low-carbon technology by chemical enterprises. Firstly, based on the technology-organization-environment framework, the main influencing factors are identified. Critical influences are then extracted by the interpretive structural modeling-analytic network process method. Finally, the dynamic changes of key factors are simulated and analyzed using an evolutionary game model based on the realistic data of Sinopec Shanghai Petrochemical Co., Ltd. And Industrial and Commercial Bank of China. The findings identify adoption cost, adoption benefit, environmental regulation, and green credit as four key factors of low-carbon technology adoption. Adoption probability is related negatively to adoption cost but positively to adoption benefit, government subsidies and penalties, and green credit. Adoption probability is related to adoption benefit and green credit; it is least sensitive to adoption benefit and most sensitive to green credit. That is, relying only on the enterprises' own efforts and without the support of subsidies and green credit, the adoption process will be very long. When green credit works, the enterprise can use technology without subsidies and penalties. Moreover, the adoption probability has a higher sensitivity to penalties than to subsidies. In other words, the enterprise will only adopt and apply the relevant technology when subsidies are large, whereas strengthening penalties can rapidly increase the adoption probability. These findings provide a valuable reference for enhancing enterprises' adoption willingness and establishing an efficient incentive mechanism of low-carbon technology adoption.

How the interplay of monitoring-enabled digital technologies and human factors facilitates or hinders metro systems' resilient response to operational disruptions

The metro is susceptible to disruption risks and requires a system response capability to build resilience to manage disruptions. Achieving such resilient response state requires readiness in both the technology side, e.g., utilizing digital technologies (DTs) to monitor system components, and the human factors side, e.g., fostering positive human coping capabilities; however, these two sides are usually considered independently, without sufficient integration. This paper aims to develop and empirically test a model in which monitoring-enabled DTs, employees' reactions, and their positive capabilities are simultaneously considered in terms of their interplay and impact on system response capability. The results showed that while DTs for monitoring physical components enhanced perceived management commitment and fostered collective efficacy, DTs for monitoring human components increased psychological strain and inhibited improvisation capability, creating a "double-edged sword" effect on system response capability. Additionally, explicit management commitment buffered the adverse effect of DTs-induced psychological strain on individual improvisation.

Health information systems with technology acceptance model approach: A systematic review

In the rapidly evolving landscape of information technologies, individuals and organizations must adapt to the digital age. Given the diversity in users' knowledge and experience with technology, their acceptance levels also vary. Over the past 30 years, various theoretical models have been introduced to provide a framework for understanding user acceptance of technology. Among these, the Technology Acceptance Model (TAM) stands out as a key theoretical framework, offering insights into why new technologies are either accepted or rejected. Analyzing user acceptance of technology has thus become a critical area of study. Healthcare organizations aim to assess the perceived efficacy and user-friendliness of a given technology. This will help health organisations design and implement HIS that meet users' needs and preferences. In this context, how does the TAM clarify the acceptance and use of Health Information Systems (HIS)? To address this inquiry, a comprehensive literature review will be carried out. The systematic review involved 29 studies issued between 2018 and 2023 and searched the databases Pubmed, Scopus, Wos and Ulakbim TR Index. The PRISMA flowchart was used to identify the included studies. According to the results, some variables stand out in the acceptance and utilisation of HIS. Among the users of HIS, it can be said that the results relating to nurses stand out. In particular, there are studies which emphasise that 'gender' is a crucial factor in explaining the models. Another crucial finding of the current systematic review is the need to train users in the acceptance and use of HIS.

The determinants of smart government systems adoption by public sector organizations in Saudi Arabia

This study investigates the determinants of smart government systems that are used in public service organizations in Saudi Arabia. The world's developed nations have conducted studies on smart government systems, but little research has been done on the Middle East, particularly in Saudi Arabia. This study fills the lacuna in the literature. Based on a number of theories including the Technology, Organization, and Environment framework (TOE), Unified Theory of Acceptance and Use of Technology (UTAUT), and Technology Acceptance Models (TAM), the study established an integrated conceptual research model. Online survey questionnaires were sent to 2060 employees in four ministries and after the second reminder a total of 427 completed answers were received, of which 419 (22% response rate) were deemed useable for the analysis. Multivariate statistical analysis was used to analyze the data and results indicated that 51% of the variance (R2 = 0.51) of employees' perceptions of smart government systems is explained by independent determinants. Findings show that security concerns (t (419) = 2.051, p < 0.041), ICT strategy (t (419) = 4.215, p < 0.000), managerial support (t (419) = 5.027, p < 0.000), incentives (t (419) = 5.263, p < 0.000), and trust (t (419) = -1.957, p < 0.050) are significant predictors of smart government systems acceptance. Meanwhile cultural values (t (419) = 0.669, p < 0.504) and religious values (t (419) = 1.082, p < 0.280) have no significant effect on the attitude to smart system adoption. Perception was found to have a strong significant effect on adoption of smart government systems (t (419) = 8.411, p < 0.000). These results have significant implications for the Saudi government's drive to implement smart government systems in all its agencies.

Understanding continuance intention of enterprise resource planning (ERP): TOE, TAM, and IS success model

This paper aims to identify the key factors influencing the intention to continue using enterprise resource planning (ERP) systems. Extending the Technology-Organization-Environment framework, the model integrates variables from both the Technology Acceptance Model and the Information Systems Success Model. We employed Partial Least Squares Structural Equation Modeling to analyze empirical data collected from 237 participants who use ERP systems in their workplaces. Our findings suggest that perceived usefulness has a positive impact on the intention to continue using ERP. Both system quality and information quality are pivotal in shaping perceived usefulness and perceived ease of use. Additionally, we found that top management support is a crucial determinant of continuance intention. The integrated model combines technological factors, organizational context, and environmental components to explain the ongoing use of ERP systems. This research enriches the existing literature on information systems, offering academics and managers deeper insights into the mechanisms driving continued ERP usage.

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.

Determinants of cloud computing integration and its impact on sustainable performance in SMEs: An empirical investigation using the SEM-ANN approach

Although extant literature has thoroughly investigated the incorporation of cloud computing services, examining their influence on sustainable performance, particularly at the organizational level, is insufficient. Consequently, the present research aims to assess the factors that impact the integration of cloud computing within small and medium-sized enterprises (SMEs) and its subsequent effects on environmental, financial, and social performance. The data were collected from 415 SMEs and were analyzed using a hybrid SEM-ANN approach. PLS-SEM results indicate that relative advantage, complexity, compatibility, top management support, cost reduction, and government support significantly affect cloud computing integration. This study also empirically demonstrated that SMEs could improve their financial, environmental, and social performance by integrating cloud computing services. ANN results show that complexity, with a normalized importance (NI) of 89.14%, is ranked the first among other factors affecting cloud computing integration in SMEs. This is followed by cost reduction (NI = 82.67%), government support (NI = 73.37%), compatibility (NI = 70.02%), top management support (NI = 52.43%), and relative advantage (NI = 48.72%). Theoretically, this study goes beyond examining the determinants affecting cloud computing integration by examining their impact on SMEs' environmental, financial, and social performance in a comprehensive manner. The study also provides several practical implications for policymakers, SME managers, and cloud computing service providers.

Factors Affecting Employees Use and Acceptance of Remote Working During the COVID-19 Pandemic: Evidence From the Jordanian Insurance Sector

Remote working during the COVID-19 pandemic comes as an "enforced experiment," where companies and individuals have turned to work from home to preserve business continuity. Drawing on a theoretical framework that integrates the Theory of Reasoned Action (TRA), Social Capital Theory (SCT), and Technology Acceptance Model (TAM), this research uses a sample of 134 survey responses to assess the factors affecting the acceptance and use of remote work during the COVID-19 pandemic among workers of the insurance industry in Jordan. The results suggest that social trust, perceived usefulness, and perceived ease of use can help elevate employee's acceptance and use of remote work, whereas social norms have no significant effect. Considering these results, we further discuss implications and recommendations for the insurance sector.

Achieving organizational performance by integrating industrial Internet of things in the SMEs: a developing country perspective

Purpose

This research investigates the adoption of the industrial Internet of things (IIoT) in SMEs to achieve and increase organizational performance. With the latest technology, small and medium-sized enterprises (SMEs) can create a competitive edge in the market and better serve customers.

Design/methodology/approach

Twelve hypotheses are proposed for this study. This study constructed a questionnaire based on technological, organizational, environmental and human perspectives. A survey is conducted on the SMEs of India using the questionnaire.

Findings

Eight hypotheses were accepted, and four hypotheses were not supported. The hypotheses rejected are infrastructure, organizational readiness, internal excellence and prior experience. The findings suggested that adopting IIoT in SMEs will increase organizational performance.

Research limitations/implications

This study will be helpful for the manager, top management and policymakers. This study identified the areas SMEs need to work on to adopt the technologies.

Originality/value

In the literature, no article considered IIoT adoption in SME firms as a human factor. Therefore, this study is unique, including human, technological, organizational and environmental factors.

The role of supply chain alignment in coping with resource dependency in blockchain adoption: empirical evidence from China

Purpose

The deployment of blockchain technology (BT) throughout the supply chain is usually led by large firms that dominate the supply chain. Leading firms can encourage other resource-constrained partners to get on board by providing technical and financial support. However, due to the uncertain consequences of relying on leading firms, these partners may still be reluctant to adopt BT. Drawing on resource dependence theory, this study aims to investigate whether and when supply chain alignment can be used as a dependency coping strategy to increase the willingness of resource-constrained partners to adopt BT. Moreover, it aims to examine the motivators for supply chain alignment.

Design/methodology/approach

This study adopted a survey research design and collected data from 364 small and medium-sized enterprises in China.

Findings

Supply chain alignment positively affects BT adoption. The effect of supply chain alignment on BT adoption is contingent on guanxi (a Chinese cultural tradition of interpersonal connections that facilitate a mutual exchange of favors). Relative advantage, technology complexity, organizational readiness and cost are motivators for supply chain alignment. Supply chain alignment mediates the effect of cost, technology complexity and relative advantage on BT adoption.

Originality/value

This research addresses the problem of resource dependency in the context of BT adoption which has been overlooked by previous research. Moreover, this paper enriches the BT literature by identifying supply chain alignment as an important channel for technology–organization–environment factors to influence BT adoption.

Evaluating the adoption of cybersecurity and its influence on organizational performance

Cyberattacks negatively impact the performance of enterprises all around the globe. While organizations invest more in cybersecurity to avoid cyberattacks, studies on the factors affecting their overall cybersecurity adoption and awareness are sparse. In this paper, by integrating the diffusion of innovation theory (DOI), technology acceptance model (TAM), and technology-organization-environment (TOE) with the balanced scorecard approach, we propose a comprehensive set of factors that influence cybersecurity adoption and assess the effects of these factors on organizational performance. Data are collected through a survey of IT experts in small and medium-sized enterprises (SMEs) in the United Kingdom, with 147 valid responses. Structural equation modeling based on a statistical package for the social sciences (SPSS) was used to assess the model. The findings identify and confirm the importance of eight factors affecting SMEs' cybersecurity adoption. Moreover, cybersecurity technology adoption is found to positively impacts organizational performance. The proposed framework depicts variables influencing cybersecurity technology adoption and assesses their importance. The outcomes of this study provide a basis for future research and can be adopted by IT and cybersecurity managers to identify the most appropriate cybersecurity technologies that positively impact their company's performance.

A framework for adopting gamified learning systems in smart schools during COVID-19

The outbreak of COVID 19 has increased the anxiety and stress among teachers and students. This has increased the need for gamified learning systems (GLS) to make the educational process more attractive and increase the engagement as well as the participation of all stakeholders. The use of GLS in teaching and learning has not been deployed effectively in the educational systems in developing countries. The purpose of this study was to examine the predictors of using GLS in Iraqi smart schools. Building on the literature, a framework of GLS is proposed. Data used in this study were collected from 394 teachers and managerial staff in Iraqi smart schools and analysed using Partial Least Square. The findings showed that individuals and organizations are important predictors of using GLS, and their effects on BI are mediated by satisfaction. Readiness and performance expectancy are critical for adopting and using GLS by smart schools. In addition, the findings showed that gamification and self-efficacy are moderating variables. Important implications of the predictability of GLS using a combination of theories as well as the practical suggestions for decision makers to enhance the adoption of GLS among smart schools in Iraq are discussed. In the time of COVID-19, decision makers have suggested increasing gamification features of teaching and learning to reduce anxiety and achieve a better learning process.

Prioritising the determinants of Industry-4.0 for implementation in MSME in the post-pandemic period – a quality function deployment analysis

Purpose

Micro, Small, Medium Enterprises (MSMEs) are witnessing an accelerated transformation by the advent of Industry-4.0 (I4.0) in the post-pandemic period. It is offering promising customer responsiveness, competitiveness, business growth and sustainability and thereby, compelling its integration to MSMEs. Therefore, it is imperative for researchers to explore Industry 4.0 challenges and their specific implementation requirements and also provide useful insights to the stakeholders.

Design/methodology/approach

This research paper has identified, explained and analysed various determinants of the I4.0 implementation, in MSME context. Focus group approach has been applied for taking inputs from experts for developing the House of Quality (HOQ) tool of the Quality Function Deployment (QFD) methodology from the Total Quality Management (TQM) tool-box.

Findings

Based on the responses and after applying QFD, a conceptual model suggesting relevant strategies to execute I4.0 by Indian MSMEs has been developed. The model highlights three key challenges being faced by the Indian MSMEs –Top management support, Incompatible resources and Transition cost. The model also reveals vital few designer's descriptors – Cultural reorientation, IT enabled digitization, Process automation and knowledge and skill in I4.0 implementation (Knowhow) for a structured implementation of I4.0.

Practical implications

The evolved HOQ framework has provided some useful insights - priority areas in the MSME challenges and the designer's descriptors for I4.0 implementation in MSME. The research has also provided the understanding of the dynamics between the I4.0 components through the 10 × 10 interrelationship matrix of the HOQ. Farsighted MSME leaders, practising consultants, sourcing managers and policy makers can use the developed framework as a reference in formulating tactics to mitigate the I4.0 implementation barriers.

Originality/value

The non-conventional application of HOQ in the QFD approach from the TQM tool-box is a useful value addition to the TQM practitioners. The useful insights to the MSME leaders, policy makers, sourcing managers of OEM, consultants engaged in I4.0 transformation and academic researchers are the other contribution.

Driving Factors of Industry 4.0 Readiness among Manufacturing SMEs in Malaysia

Industry 4.0 increases the production efficiency and competitiveness of companies. However, Industry 4.0 implementation is comparatively low in developing countries, while Malaysian manufacturing Small and Medium Enterprises (SMEs) Industry 4.0 adoption is still in its infancy stage. This quantitative study aimed to broaden the knowledge of the driving factors that significantly strengthen Malaysian manufacturing SMEs’ readiness for the digital revolution. Based on the Resource-Based View theory, the study built a research framework to govern the investigation of organizational capabilities, SME institutional support, perceived advantage, and market factors as the driving factors of Industry 4.0 readiness, while firm size as the moderating variable. The data were collected by conducting an online survey with the owners and managers of Malaysian-owned manufacturing SMEs located throughout Peninsular Malaysia, where the firms have received some form of government assistance. The analysis of the study indicated that organizational capabilities, SME institutional support, and market factors positively correlate with Industry 4.0 readiness. It was determined that firm size only moderates the relationship between SME institutional support and Industry 4.0 readiness. This study’s findings benefit industry practitioners and policymakers who wish to drive the future of Malaysia’s SMEs business ecosystem and contribute to Industry 4.0 literature.

Explaining the effect of artificial intelligence on the technology acceptance model in media: a cloud computing approach

Purpose

The purpose of this paper is to explain the effect of the technology acceptance model in the media environment by using the mediating role of artificial intelligence and the cloud computing approach.

Design/methodology/approach

After reviewing the theoretical foundations, a conceptual model framework and research hypotheses were formed. The statistical population of the study included managers, deputies and experts from the National Iranian Oil Company, and a statistical sample of 368 people was selected by simple random sampling.

Findings

The results of structural equation modelling with PLS 2.0 software show a positive and significant effect on the artificial intelligence variable in the technology acceptance model with the cloud approach. Artificial intelligence has opened a new space in the digital world, especially in the media, so that its profound impact is quite evident and has affected people’s lives.

Originality/value

The acceleration of various technologies has severely challenged the approach of organizations, especially the media. The media environment with word of the technologies of the Industry 4.0, especially cloud computing technology, has changed the ways of accessing and using products and services.

The Role of Personality and Top Management Support in Continuance Intention to Use Electronic Health Record Systems among Nurses

This study examines nurses' Continuance Intention (CI) to use electronic health records (EHRs) through a combination of three conceptual frameworks: the Unified Theory of Acceptance and Use of Technology (UTAUT), the theory of expectation-confirmation (ECT), and the Five-Factor Model (FFM). A model is developed to examine and predict the determinants of nurses' CI to use EHRs, including top management support (TMS) and the FFM's five personality domains. Data were collected from a survey of 497 nurses, which were analyzed using partial least squares. No significant relationship was found between TMS and CI. The study revealed that performance expectancy significantly mediated the influences of two different hypotheses of two predictors: agreeableness and openness to testing CI. A significant moderating impact of conscientiousness was found on the relationship between performance expectancy and CI and the relationship between social influence and CI. The findings of this study indicated that rigorous attention to the personality of individual nurses and substantial TMS could improve nurses' CI to use EHRs. A literature gap was filled concerning the mediating effects of performance expectancy on the FFM-CI relationship, and the moderation effects of Conscientiousness on UTAUT constructs and CI are another addition to the literature. The results are expected to assist government agencies, health policymakers, and health institutions all over the globe in their attempts to understand the post-adoption use of EHRs.

Adoption of big data analytics practices for sustainability development in the e-commercesupply chain: a mixed-method study

Purpose

The study aims to identify the potential drivers of big data analytics (BDA) practices in the supply chain and develop a sustainability evaluation model to evaluate drivers of big data for sustainability development.

Design/methodology/approach

The mixed-method approach was applied to assess sustainability dimensions and calculate the score using two phases. In Phase I, the BDA drivers in the e-commerce industry were finalised using the partial least square based structural equation modelling (PLS-SEM) method. In Phase II, a case study in the Indian fashion e-commerce industry was carried out to evaluate sustainability dimensions with respect to drivers of BDA and the sustainability score was calculated using the fuzzy analytical hierarchical process (AHP) method.

Findings

The index for economic sustainability (0.220), social sustainability (0.142) and environmental sustainability (0.182) were derived. The higher index value of economic sustainability compared to social sustainability and environmental sustainability signified those drivers of big data bring social and environmental uncertainty along with economic sustainability.

Research limitations/implications

The study will help practitioners promote BDA use for developing environmental/social/economic sustainability in supply chains. Policymakers must ensure whether the integration of BDA practices brings down cost and brings strategic value for ensuring big data success. The study will help managers decide a constant trade-off between the requirement for social, environmental and economic performance.

Originality/value

The study corroborates and adds to the BDA literature by emphasising the positive role of BDA in sustainability development in the supply chain area and highlighting the significant role of different drivers of BDA in sustainability development.

Factors influencing vocational college students’ creativity in online learning during the COVID-19 pandemic: The group comparison between male and female

The COVID-19 pandemic has forced higher education institutions to shift their teaching activities from traditional face-to-face to online learning. This brings a great challenge to the creativity training of vocational college students, who not only learn theoretical knowledge but also cultivate technical skills. Therefore, it is very important to explore the influencing factors of online learning on students’ creativity during the epidemic. By relying on the related literature review, an extensive model is developed by integrating the expectation confirmation model (ECM), technology task fit model (TTF), and the technology acceptance model (TAM) to illustrate key factors that influence creativity. Based on the proposed model, theory-based hypotheses are tested through structural equation modeling employing empirical data gathered through a survey questionnaire of 229 students from different vocational colleges in China. In addition, to extend the analysis results, this paper performs a comparative analysis based on gender. The findings demonstrate that perceived ease of use and perceived usefulness significantly influence knowledge sharing; knowledge sharing significantly affects creativity. However, there is no substantial relationship between perceived usefulness and attitude, and no relationship between attitude and knowledge sharing. Moreover, a multi-group comparison shows that there is a significant gender difference between perceived ease of use and attitude. Based on the findings, theoretical and practical implications are discussed.

Factors influencing the implementation of cloud accounting: evidence from small and medium enterprises in Oman

Purpose

This study aims to investigate the factors influencing the adoption of cloud accounting (CA) in Oman’s small and medium enterprises (SMEs). The research model is developed based on relationships between technology, organisational and environmental contexts.

Design/methodology/approach

This study used a questionnaire to collect data from a sample of SMEs in Oman’s information and communication sector. In total, 300 enterprises were selected, and the questionnaire was distributed to the executives. The questionnaires valid for analysis were 159. The collected data were analysed using structural equation modelling through analysis of a moment structures software.

Findings

This study tested seven factors, namely, support from top management, firm size, infrastructure (technology readiness), security and privacy, compatibility, competitive pressure and relative advantage. The results revealed that compatibility has a significant impact on the adoption of CA.

Practical implications

This study suggests the mangers in SMEs should play a more decisive role in identification of technological, organisational and environmental factors that affect the success of implementing CA in a comprehensive model.

Originality/value

This study constitutes a management strategy that helps the enterprises in light of limited economic resources and concerns about the use of cloud services to make the appropriate decision in adopting CA.

A Revised Technology–Organisation–Environment Framework for Brick-and-Mortar Retailers Adopting M-Commerce

This paper argues that brick-and-mortar retail Small and Medium Enterprises (SMEs) can benefit significantly from the capabilities of mobile commerce (m-commerce) to respond to the unpredictable changes in the business environment, accommodate new consumer experiences, boost sales of products/services, and achieve a competitive advantage. Consequently, this study explored the potential application of the Technology–Organisation–Environment (TOE) framework for m-commerce by brick-and-mortar retail SMEs. The study adopted the positivist paradigm and followed a cross-sectional study design. A structured questionnaire was used to collect data from a sample of 263 retail business personnel. The Analysis of Moment Structures (AMOS) software was used to analyse the data. The findings unveil that all the proposed constructs associated with the organisational context and technological context are critical for the use of m-commerce. The proposed framework provides a fresh set of contextual variables which align with brick-and-mortar retailer operations and mobile commerce practices. It is envisaged that the extended framework may help conventional businesses to understand and identify the requisite factors in the adoption and use of m-commerce and assist business supporters in the process of technological innovation transfer.

Quantify the Behaviour Intention of Individuals to Control SC Performance by Exploring Cloud Storage Services

The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) is explored as a theoretical background to build extended UTAUT2 model with relevant variables for examining the cloud storage services technology acceptance at individual level to respond the current and future SCM operations. The research employed purposive sampling method for data collection. The questionnaire is distributed in booklet format to participants who had experienced in using online cloud storage service platforms (e.g., Google Drive, Microsoft One Drive, etc.). The data are collected from participates dwelling at Chennai metropolitan in South India. The data is analysed by using structural equation modelling technique through Smart PLS 2 software. The performance expectancy, social influence, trust, and perceived speed of access are found to be the strong significant determinants affecting and changing the behavioural intention of individual (customers) towards using cloud storage service technology in managing own firm SCM networks and operations.

Innovation Environment’s Role in Supporting Industry 4.0 Technology Adoption to Address Effects of COVID-19

Health systems were severely strained at the start of the COVID-19 pandemic, where the demand for personal protection equipment (PPE) could not be met. The challenge faced by many countries was how to innovate quickly to create PPE and other needed solutions. The subsequent research gap identified was a lack of practical insights on how to support such novel technology adoption, particularly those that stem from Industry 4.0 (I4.0) within a developing world context. To address this previous literature on I4.0 technology, the role of innovation environments and theoretical principles of technology adoption was reviewed. A practical case from an academic makerspace based in a South African university was then assessed. It was selected due to its direct role in rapid solutions development of PPE using additive manufacturing (AM) until such a time that manufacturers could set up production on a larger scale. It was found that AM and other novel technologies have facilitated innovative solutions to address the significant impacts of the pandemic. Key to which were practices identified of an innovation environment that supported early-stage adoption of AM to achieve this even in a developing country context. The findings imply that innovation environments offer an agile platform to leverage innovation by streamlining certain critical success factors of I4.0 technology adoption, which is presented in a model. However, individual skills developed by such environments to enhance innovation capabilities within this paradigm require further research.

Cloud adoption in Indian SMEs – an empirical analysis

Purpose

This study aims to empirically validate the determinants of cloud adoption in small and medium enterprises (SMEs) in India and examine its impact on their economic performance.

Design/methodology/approach

An integrated theoretical model interplaying technological, organizational and environmental aspects were applied for analyzing the variation in factors. Using data from 317 Indian SMEs, we have applied confirmatory factor analysis and structural equation modeling to test the hypotheses.

Findings

The results demonstrated that perceived usefulness, perceived ease of use, technology readiness, top management support and trust were the influencing drivers of cloud adoption in SMEs in India. Compared to previous studies, we did not find compatibility and competitive pressure as significant, suggesting that there was no single set of factors influencing technology adoption. Economic performance achieved by reduced transaction costs formed the basis of favorable adoption.

Research limitations/implications

The integrated model can provide space for new dimensions based on the category and geography of the SMEs. The paper does not address the supply-chain perspective of cloud adoption.

Practical implications

The study directs the firm owners to visualize business logic by creating a digital ecosystem. Further, the model guides the stakeholders, including cloud service providers, to contribute to the economic proficiency of the SMEs.

Originality/value

The paper empirically validates a model integrating both the drivers and consequences of cloud computing adoption as a unique study. Findings indicate that the usage of metrics such as return on investment and system efficiency form a part of the technology system approach.

Quadruple Theories Based Determinants and their Causal Relationships Affecting the Adoption of Community Cloud in Saudi HEI

The higher education institutions (HEIs) are adopting the new modern cloud computing technique rapidly due to its cost effectiveness, efficient and productive feature. Though cloud computing technology is beneficial to educational sector, it is important to assess their economic benefits, technical, organizational, environmental appropriateness and potential obstacles before adopting the new technology. There are four evaluating theory for adopting the cloud computing technology which are the Technology Organization Environment (TOE), the Technology Acceptance Model (TAM), the Diffusion of Innovation (DOI), and the Institutional (INT). This study has developed a new adoption framework for accepting cloud computing technology for HEIs of Saudi by integrating the above mentioned theories. This framework is unique from others because no research has been conducted yet on the adoption of community cloud at the organizational level considering the four theory simultaneously. This research has developed 25 hypotheses on the adoption of community cloud computing in HEIs and analyzed those hypotheses using SPSS statistical analysis software. The reliability of the data was tested by utilizing composite reliability and Cronbach's alpha method. This study have introduced an innovative approach and framework to understand the adoption of the community cloud which will help the decision-makers to build strategies in their organizations for effective adoption of community cloud services.

Classifications of Sustainable Factors in Blockchain Adoption: A Literature Review and Bibliometric Analysis

Blockchain is a cutting-edge technology that is transforming and reshaping many industries. Hence, the adoption of Blockchain is becoming an increasingly significant topic. The number of publications discussing the potential of Blockchain adoption has been expanding significantly. In addition, not enough attention has been given to Blockchain adoption in the software development industry. As a result, a systematic overview to investigate the research trends in this area is needed. This study uses a Scientometric analysis and critical review to examine the evolution of Blockchain adoption research on the Web of Science Principal Collection. In addition, a systematic literature review (SLR) was conducted to identify gaps in Blockchain adoption research and the top reasons for adopting Blockchain with the intention of proposing a sustainable adoption framework. This study extends the body of knowledge by discussing the most influential countries, authors, organizations, publication themes, and most cited publications on Blockchain adoption research. Additionally, this study identifies the 30 relevant studies from the Web of Science and Scopus, including their industries, countries, methods, and respondent sample size, and the top 18 adoption factors among them. Consequently, this study proposes a suitable Blockchain adoption framework based on these top 18 factors. Finally, this study’s aim and unique contribution is to serve as an initial launching point for upcoming Blockchain adoption in software development industry research.

Digital Transformation Strategies Enabled by Internet of Things and Big Data Analytics: The Use-Case of Telecommunication Companies in Greece

Both Internet of Things (IoT) and Big Data Analytics (BDA) are innovations that already caused a significant disruption having a major impact on organizations. To reduce the attrition of new technology implementation, it is critical to examine the advantages of BDA and the determinants that have a detrimental or positive impact on users’ attitudes toward information systems. This article aims to evaluate the intention to use and the perceived benefits of BDA systems and IoT in the telecommunication industry. The research is based on the Technology Acceptance Model (TAM). Data were collected by 172 users and analyzed using Multivariate Regression Analysis. From our findings, we may draw some important lessons about how to increase the adoption of new technology and conventional practices while also considering a variety of diverse aspects. Users will probably use both systems if they think they will be valuable and easy to use. Regarding BDA, the good quality of data helps users see the system’s benefits, while regarding IoT, the high quality of the services is the most important thing.

Factors Influencing Cloud Computing Adoption Among SMEs: The Jordanian Context

Cloud computing technology has proved to be an important technological solution, especially for small and medium- sized businesses (SMEs), by providing many opportunities for companies to enhance their operations, reduce cost, improve scalability and flexibility, and make more efficient use of technology. Despite its benefits, most SMEs are still hesitant about adopting cloud computing. The purpose of this study is to assess the factors that influence cloud computing adoption among SMEs in Jordan. This study does so by developing a research model based on the Technology Organization Environment (TOE) and Diffusion of Innovation (DOI) .These theories overlap in terms of the characteristics that strengthen the explanation of adoption. An online questionnaire was used to collect data from 244 SMEs registered in Jordan. A multiple regression test was implemented to examine the proposed model. The results indicate that seven factors significantly affect cloud computing adoption among SMEs. Among these factors, cost reduction was found to be the strongest predictor, while the weakest predictor was firm size. However, the firm’s scope insignificantly influenced cloud computing adoption among SMEs in Jordan. This finding could provide insights for SMEs decision- makers when it comes to adopting cloud computing. In addition, it provides insights for practitioners in terms of recognizing the important factors that encourage or prevent SMEs from adopting cloud computing.

Remote learning via video conferencing technologies: Implications for research and practice

Following the unprecedented outbreak of the Coronavirus pandemic (COVID-19), educators and students have shifted from conventional face-to-face lectures to fully virtual sessions that were delivered via video conferencing software. This research investigates the facilitating conditions and the students' perceptions toward using these interactive resources to continue their learning journey. The data was gathered through a structured questionnaire among 777 students in tertiary education. The survey instrument comprised valid measures that are frequently utilized in academia, to evaluate the individuals' acceptance of interactive educational technologies. A partial least squares (PLS) approach revealed that there were very significant factors that were predicting the students' dispositions to utilize synchronous learning programs. The findings underlined the importance of providing appropriate facilitating conditions to improve perceptions and attitudes toward interactive conferencing software. These results reflect the latest developments, as COVID-19 has inevitably accelerated the digital transformation in the realms of education. This contribution implies that students adapted well to a new normal. It confirmed that they are willing to participate and engage in virtual meetings through video conferencing programs.

Acceptance Model of Artificial Intelligence (AI)-Based Technologies in Construction Firms: Applying the Technology Acceptance Model (TAM) in Combination with the Technology–Organisation–Environment (TOE) Framework

In the era of the Fourth Industrial Revolution, artificial intelligence (AI) is a core technology, and AI-based applications are expanding in various fields. This research explored the influencing factors on end-user’s intentions and acceptance of AI-based technology in construction companies using the technology acceptance model (TAM) and technology–organisation–environment (TOE) framework. The analysis of end-users’ intentions for accepting AI-based technology was verified by applying the structure equation model. According to the research results, the technological factors along with external variables and an individual’s personality had a positive influence (+) on the perceived usefulness and the perceived ease of use of end-users of AI-based technology. Conversely, environmental factors such as suggestions from others appeared to be disruptive to users’ technology acceptance. In order to effectively utilise AI-based technology, organisational factors such as the support, culture, and participation of the company as a whole were indicated as important factors for AI-based technology implementation.

Digital Transformation among SMEs: Does Gender Matter?

The COVID-19 pandemic has highlighted and exacerbated some of the challenges that small and medium enterprises (SMEs) face in times of crisis, disrupting their operations, weakening their financial positions, and exposing them to a wide range of financial risks. While previous studies have viewed digital transformation as a vital source of innovation and productivity growth for economic recovery in SMEs, there has been limited focus on digital transformation in the regional context, with very little attention focused on women-led enterprises. This study aims to investigate (i) the determinants of perception of digital transformation among regional SMEs, and (ii) whether the gender of the SME owner or manager has an impact on the drivers of the digital transformation experiences of SMEs operating in regional Australia. Building upon the resource-based view, this study uses a unique dataset of 281 SMEs collected from a survey conducted within a regional area of Queensland, Australia. Employing Feasible Generalised Least Squares and Generalised Least Squares estimations, the study found that the perceptions of digital transformation can be explained by the use of social network platforms, innovation processes, workplace culture, and information and communication technologies. This study also found that there is a significant difference between female-led and male-led SMEs regarding their perceptions of digital transformation. This study offers two key policy and practical insights: (i) digital transformation of regional SMEs should be used as a fundamental tool for crisis recovery strategies, and (ii) the need for policymakers to mainstream gender into postcrisis transformative interventions and policies should be fast tracked.

The Acceptance of Learning Management Systems and Video Conferencing Technologies: Lessons Learned from COVID-19

During the outbreak of the Coronavirus (COVID-19) pandemic, higher education institutions (HEIs) have shifted from traditional and blended learning approaches to a fully virtual course delivery. This research investigates the students’ perceptions on remote learning through asynchronous learning management systems (LMS) and via synchronous video conferencing technologies like Google Meet, Microsoft Teams or Zoom, among others. The data was gathered from a sample of 501 higher education students in a Southern European context. A survey questionnaire included measures that investigated the participants’ acceptance of interactive technology to better understand their utilitarian motivations to use them. The findings suggest that the research participants accessed asynchronous content and interacted with online users, including with their course instructor, in real time. While there are a number of theoretical or opinion papers on the impact of COVID-19 on higher education services, currently, there are still a few empirical papers that shed light on the factors that are having an effect on the students’ attitudes and intentions to utilize remote learning technologies. This contribution underlines the importance of maintaining ongoing, interactive engagement with students, and of providing them with appropriate facilitating conditions, to continue improving their learning journey.

Prioritising Organisational Factors Impacting Cloud ERP Adoption and the Critical Issues Related to Security, Usability, and Vendors: A Systematic Literature Review

Cloud ERP is a type of enterprise resource planning (ERP) system that runs on the vendor’s cloud platform instead of an on-premises network, enabling companies to connect through the Internet. The goal of this study was to rank and prioritise the factors driving cloud ERP adoption by organisations and to identify the critical issues in terms of security, usability, and vendors that impact adoption of cloud ERP systems. The assessment of critical success factors (CSFs) in on-premises ERP adoption and implementation has been well documented; however, no previous research has been carried out on CSFs in cloud ERP adoption. Therefore, the contribution of this research is to provide research and practice with the identification and analysis of 16 CSFs through a systematic literature review, where 73 publications on cloud ERP adoption were assessed from a range of different conferences and journals, using inclusion and exclusion criteria. Drawing from the literature, we found security, usability, and vendors were the top three most widely cited critical issues for the adoption of cloud-based ERP; hence, the second contribution of this study was an integrative model constructed with 12 drivers based on the security, usability, and vendor characteristics that may have greater influence as the top critical issues in the adoption of cloud ERP systems. We also identified critical gaps in current research, such as the inconclusiveness of findings related to security critical issues, usability critical issues, and vendor critical issues, by highlighting the most important drivers influencing those issues in cloud ERP adoption and the lack of discussion on the nature of the criticality of those CSFs. This research will aid in the development of new strategies or the revision of existing strategies and polices aimed at effectively integrating cloud ERP into cloud computing infrastructure. It will also allow cloud ERP suppliers to determine organisations’ and business owners’ expectations and implement appropriate tactics. A better understanding of the CSFs will narrow the field of failure and assist practitioners and managers in increasing their chances of success.

Factors stimulating value micro-businesses attribute to digital marketing technology (DMT) adoption

Most micro-business managers in Nigeria do not see the adoption of digital marketing technology (DMT) as vital for business. Many consider it as a precondition to support managerial or operational activities, not as a tactical and/or strategic tool. Although most studies focused on large organisations, the outcome of such research may not be appropriate to micro-businesses. This is informed by the negligence of micro-businesses’ idiosyncrasies and their thought of digitalization as a precondition for managerial activities without considering the value small businesses attached to these devices in terms of aiding the use as strategic tools. This renders micro-businesses’ digitalization an under-reflected phenomenon. Yet, studies spend less on examining the factors that specifically stimulate the value micro-businesses attach to these applications, leading to constant adoption and usage. Hence, there is a need for a thorough exploration of the factors that shape the value of digital marketing applications in micro-businesses in Nigeria. The study is qualitative in nature and interviews (unstructured and semi-structured) were carried out with 26 micro-businesses which was drawn purposefully from the online database and underpinned by Technology, Organisation and Environment (TOE) framework. The study revealed eleven (11) critical success factors stimulating value micro-businesses attribute to digital marketing technology (DMT) adoption. These factors include long-term functional capacity, integration capacity, expansion capacity which are related to technology context. Collective capability, collaborative experience are linked to the organisation context while adaptive training, service delivery, customer fulfilment are linked to environmental context. The study also unveiled expectancy context which is linked to budget, growth and profitability and aid in the extension of the TOE framework. This study will be of importance to academics and practitioners because it provides further awareness into DMT adoption framework, factors critical to the DMT adoption and may assist in reducing the number of resources spent in search of information aimed at helping DMT adoption by micro-businesses.

Users’ perception of cybersecurity, trust and cloud computing providers’ performance

Purpose

This study aims to develop a scale to measure the cloud provider’s performance and it investigates the factors that impact that performance from the users’ perspective.

Design/methodology/approach

This paper proposes a research framework, develops hypotheses and conducts a survey to test the framework.

Findings

The results from both ordinary least square regression and structural equation modeling analyzes indicate that information technology complexity negatively and significantly affects users’ perception of the cloud computing providers’ performance. Additionally, the trust in the supervisor significantly enhances the otherwise insignificant positive relationship between providers’ cybersecurity capability and users’ perception of their providers’ performance.

Originality/value

The research makes important contributions to the cloud computing literature, as it measures users’ perception of the cloud computing provider’s performance and links it with cybersecurity, technical complexity and incorporates both the trust in the client firm’s supervisor and the strength of cybersecurity offered by cloud computing provider.

Development and testing of an explorative BPM acceptance model: Insights from the COVID-19 pandemic

When emerging technologies transform an organization’s way of working, explorative business process management (BPM) becomes a new challenge. Although digital innovations can boost process efficacy and business productivity, employees do not necessarily accept the implied work changes. We therefore looked at the increased digitalization efforts during the COVID-19 lockdowns, during which employees were forced to drastically rethink work by heavily depending on technology for communication and almost all business tasks. This global setting allowed us to scrutinize disruptive work changes and how employees can cope with disruptive work adaptations. We also looked into the explorative skillset needed to adapt to these changes. To theorize about an explorative BPM acceptance model, eleven hypotheses were supported based on a solid theoretical foundation. We followed a quantitative research design using partial least squares for structural equation modeling (PLS-SEM) at the university administration settings in two regions, including purposive sampling. Data analysis covered both a measurement model assessment and structural model assessment. Our findings reveal that employees’ perceived work modalities, feeling creative and feeling flexible are more promising features than perceived influence and attitude related to explorative work and skill development. We also offer novel insights into explorative business process management (BPM) skills, and which skills are more productive in uncertain or dynamic working conditions. This research is a learning path for managers struggling with flexible or competitive business environments, and more specifically to facilitate employee willingness.

Factors affecting the adoption of blockchain technology in innovative Italian companies: an extended TAM approach

Purpose

The present research aims to identify the determinants for users' behavioral adoption of Blockchain, exploring the relationships among these variables and investigating whether the proposed model can provide a more comprehensive manner to understand the adoption of Blockchain technology.

Design/methodology/approach

This study adopts the Technology Acceptance Model (TAM) approach and extends it with external constructs: “reduced cost” and “efficiency and security”. This paper used a quantitative and exploratory approach through the collection and analysis of data from a total of 108 Italian innovative SME. We have used the Partial Least Squares Structural Equation modeling (PLS-SEM) approach using SmartPLS for model evaluation.

Findings

The results show that “efficiency and security” is an important driver of firms' decision-making process to adopt Blockchain. Moreover, the results show that perceived usefulness is a strong predictor of the intention to use Blockchain in business processes.

Originality/value

This research advances the literature on technology adoption in business processes, focusing on a particular technology: Blockchain. The field has been strengthened by investigating the determinants of technology adoption, adding new perspectives; both reduced cost and efficiency, and security.

Investigation of Cloud ERP Adoption in the Healthcare Industry Through Technology-Organization-Environment (TOE) Framework

There is an accelerated migration from on-premise ERP to Cloud ERP systems in many industries, but this transition is relatively slow in the healthcare industry. To address this concern, we developed a research model based on Technology-Organization-Environment (TOE) framework, and explored it in the healthcare industry through semi-structured interviews with IT managers and finance managers. We found noticeable differences between small-sized and large-sized healthcare organizations, as well as the perceptions of IT managers and finance managers in Cloud ERP adoption decisions. We discussed these findings, and proposed future research questions on Cloud ERP adoption in the healthcare industry.

Perceived benefits and post-adoption usage of education management information system

Purpose

The purpose of this research is to explore and explain education management information system (EMIS) post-adoption in the context of mandatory settings, focusing on perceived benefits and individual and institutional post-adoption usage.

Design/methodology/approach

To fulfill the research objectives, the study proposes a conceptual model grounded in the technology acceptance model (TAM) and the technology-organization-environment (TOE) framework. Data for model validation were obtained via a questionnaire and were collected from 144 teachers in public primary schools in the Republic of North Macedonia. For statistical analysis, PLS-SEM was used.

Findings

Based on the conducted statistical analysis, it is found that in mandatory environments, perceived ease of use, perceived usefulness, compatibility, complexity and governmental support are the factors that have indirect effects on the post-adoption usage, and only the factors, technological knowledge and external information and communication technology (ICT) support, have direct effects on the post-adoption usage. The individual post-adoption usage in mandatory settings depends on whether benefits are perceived in the course of EMIS usage; they become a central factor due to the accumulated knowledge and experience.

Originality/value

The main contribution of this study is to theoretically and empirically discover the most important factors that influence EMIS post-adoption usage. Perceived benefits are considered as external factors to the TOE framework and mediate the effect of TAM-TOE factors on individual post-adoption usage.

An Empirical Study of Renewable Energy Technology Acceptance in Ghana Using an Extended Technology Acceptance Model

Energy consumption, and its impact on the environment, has become an increased focal point in Ghana, a sub-Saharan African country, following population growth and rapid urbanization. Ghana has high potential for renewable energy generation; nevertheless, low acceptance and usage have been found. An extensive study is required to understand the causes driving poor acceptability and the intentions to use renewable energy. This study aims to empirically investigate the acceptance of renewable energy using an extended technology acceptance model (TAM). A cross-sectional survey was conducted, from 1 February 2021 to 30 June 2021, using a self-administered questionnaire. The survey was carried out on Ghanaian adults of the age 18 years and above. Data was collected from 1068 respondents from Ghana’s northern and southern parts and analyzed using partial least squares structural equation modeling (PLS-SEM) with SmartPLS software. The results of the data analysis reveal that environmental awareness is the biggest predictor of the intention to use renewable energy in Ghana. Perceived affordability was also found to be the most significant predictor of attitudes towards the use of renewable energy in Ghana. The findings of this research will give policymakers, manufacturers, and the providers of renewable energy appliances a better understanding of the factors that determine the intention to use renewable energy.

Malaysian SMEs m-commerce adoption: TAM 3, UTAUT 2 and TOE approach

Purpose

The purpose of this study is to examine the factors that influence Malaysian Small and Medium Enterprises (SMEs) to adopt mobile commerce (m-commerce) by integrating the constructs of Technology Acceptance Model 3 (TAM 3), Universal Theory of Acceptance and Use of Technology 2 and Technology-Organization-Environment model. Though numerous m-commerce adoption (MCA) studies have been conducted, lesser attention is paid to how hedonic motivation (HM) can influence organizational users such as SMEs. This study bridges the gap by integrating the three models to provide a new lens to guide SMEs.

Design/methodology/approach

To examine the factors that influence the adoption of m-commerce, the researchers collected data from SMEs in Malaysia using an online survey. The sample size of the participants was determined through the available list provided by SME Corp Malaysia. The researchers also used Krejcie and Morgan’s sample size and G * Power techniques to determine that the sample size was appropriate. The data collected were analyzed using partial least square-structural equation modeling.

Findings

The findings of this study reveal that technological factors (computer self-efficacy [CSE], result demonstrability [RD] and computer anxiety [CA]) positively and significantly influence MCA. Likewise, the organizational/environmental factors (m-commerce knowledge, pressure from trading partners and pressure from competitors) positively and significantly influence MCA. The moderating influence of HM was also achieved on the relationship between CSE and RD. However, the proposed hedonic moderating relationship between CA and the adoption of m-commerce is not significant.

Research limitations/implications

This study integrates three models to explain the adoption of m-commerce among SMEs in Malaysia and tested the moderating influence of HM. The results obtained better explain the decision by the SMEs to use m-commerce.

Originality/value

The study critically considered how m-commerce can be adopted by SMEs in Malaysia, which previous studies have largely ignored. Considering this, the study, therefore, advances a new relationship by integrating Technology-organization-environment model with TAM 3 and the moderating influence of HM to explain MCA among SMEs. This paper is one of the few research studies to test the moderating influence of HM in this regard.

Positive and Negative Impacts of COVID-19 in Digital Transformation

This study was designed to research the impact of pandemic situations such as COVID-19 in digital transformation (DT). Our proposed study was designed to research whether COVID-19 is a driver of digital transformation and to look at the three most positive and negative DT disruptors. Our study suggests that COVID-19 is a driver of digital transformation, since 94 percent of respondents agreed that COVID-19 is a driver of DT. The second phase of our study shows that technology, automation, and collaboration (TAC) is the most positive significant factor which enables work from anywhere (WFA) (or work from home) arrangements and also leads to the third positive factor of a work-life balance (WLB). The top three negative factors are no work-life balance (NWL), social employment issues (SEI), and data security and technology issues (DST). The negative factors show a contradictory result since NWL is the most negative factor, even though WLB is the third most positive factor. While the pandemic situation is leading to a positive situation for economies and organizations at a micro level, the negative impacts, which will affect overall economic growth as well as social, health, and wealth wellbeing, need to be kept in mind. The motivation of this study was to research positive and negative effects of COVID-19 on DT, since COVID-19 is impacting everyone and everyday life, including businesses. Our study developed a unique framework to address both positive and negative adoption. Our study also highlights the need for organizations and the economy to establish mitigation plans, as the pandemic has already been disrupting the entire world for the past three quarters.

A Trust-Based Model for the Adoption of Smart City Technologies in Australian Regional Cities

This paper explores the role of stakeholders’ trust in the adoption of smart city technologies, leading to the identification of the critical determinants for adopting smart city technologies in Australian regional cities. A comprehensive review of the related literature has been conducted. Such a review leads to the development of a trust-based research model for investigating the importance of trust in technology and its adoption. This model is then tested and validated with the use of a structural equation modeling technique on the survey data collected from ICT professionals in Australian regional cities. The study results show that perceived usefulness, perceived external pressure and perceived information security influence trust in smart city technologies. Further analysis highlights the significant relationship between stakeholders’ trust and their intention to adopt smart city technologies. This study is unique, as it is one of a few studies that focus on exploring stakeholders’ trust in the adoption of smart city technologies from the perspective of ICT professionals in Australia. The study results can be used by the government agencies to formulate appropriate policies to enhance the use of smart city technologies in the active pursuit of smart city development in Australia.

The Assessment of Big Data Adoption Readiness with a Technology–Organization–Environment Framework: A Perspective towards Healthcare Employees

Big data is rapidly being seen as a new frontier for improving organizational performance. However, it is still in its early phases of implementation in developing countries’ healthcare organizations. As data-driven insights become critical competitive advantages, it is critical to ascertain which elements influence an organization’s decision to adopt big data. The aim of this study is to propose and empirically test a theoretical framework based on technology–organization–environment (TOE) factors to identify the level of readiness of big data adoption in developing countries’ healthcare organizations. The framework empirically tested 302 Malaysian healthcare employees. The structural equation modeling was used to analyze the collected data. The results of the study demonstrated that technology, organization, and environment factors can significantly contribute towards big data adoption in healthcare organizations. However, the complexity of technology factors has shown less support for the notion. For technology practitioners, this study showed how to enhance big data adoption in healthcare organizations through TOE factors.

Hybrid Decision Model for Evaluating Blockchain Business Strategy: A Bank’s Perspective

Banks attempt to invest in emerging financial technology (FinTech), such as blockchain, to enhance competitiveness. There is a great deal of literature on the technical and legal aspects of blockchain. However, there is little specific guidance on how banks can apply a holistic model to evaluate the blockchain-based business. This study proposes a hybrid decision model with confidence-weighted fuzzy assessments to address this valuable research topic. Supported by a group of seasoned experts, five major blockchain-based business models are evaluated for a domestic bank in Taiwan. The key findings contribute to understanding the importance of the involved factors and identifying the ideal business strategy for the bank. The result suggests that the most crucial dimension is policies and regulations, not the technical capability of banks.