Cloud computing adoption by SMEs in the north east of England

Soft computing analysis of the factors associated with stress, anxiety, and depression

Stress, Anxiety, and Depression (SAD) are pervasive mental health issues that have substantial impacts on individual and societal well-being. This paper identifies eight key factors of SAD, workplace pressure to poor sleep quality (C 1 -C 8 ), and explores six targeted interventions (A L T 1 toA L T 6 ) designed to mitigate these effects. Among these causes, poor sleep and chronic fatigue are emphasized for their profound impact on mental health, as they disrupt emotional resilience and cognitive functioning. By utilizing the fuzzy analytic hierarchy process (F-AHP), systematically analyze and prioritize these causes and interventions to identify the most effective strategies for SAD prevention and management. The analysis highlights adequate sleep as a crucial intervention to address poor sleep quality, underscoring its role in stabilizing mood and reducing SAD symptoms. This paper advocate's structured sleep hygiene as a central preventive measure within mental health frameworks, promoting resilience and improved quality of life. These findings reinforce the importance of prioritizing sleep alongside other interventions to address the complex network of factors contributing to SAD.

A SEM-ANN analysis to examine impact of artificial intelligence technologies on sustainable performance of SMEs

This study investigates the impact of Artificial Intelligence (AI) adoption on the sustainable performance of small and medium-sized enterprises (SMEs). Employing a hybrid quantitative approach, this research combines Partial Least Squares Structural Equation Modeling (PLS-SEM) and Artificial Neural Networks (ANN) to examine the influence of various organizational, technological, and external factors on AI adoption. Key factors considered include top management support, employee capability, customer pressure, complexity, vendor support, and relative advantage. Data collected from 305 SMEs across multiple sectors were analyzed. The results reveal that all the proposed factors significantly and positively affect AI adoption, with top management support, employee capability, and relative advantage being the most influential predictors. Additionally, the adoption of AI technologies substantially enhances the economic, social, and environmental performance of SMEs, reflecting improvements in operational efficiency, cost reduction, and social value creation. The ANN results confirm the robustness of the SEM findings, highlighting the critical role of AI in driving sustainability outcomes. Furthermore, the study emphasizes the positive mediation effects of AI adoption on organizational performance, indicating that AI adoption serves as a key enabler in achieving both short-term operational gains and long-term sustainability objectives. This research contributes to the understanding of AI's transformative role in enhancing the sustainable performance of SMEs in developing economies, offering strategic insights for both policymakers and business leaders.

Can location factors moderate the effects of the demographic composition of SME's owner managers on the rate of mobile marketing technology (MMT) adoption?

Extant scholarly inquiries focused predominantly on the influence of demographic physiognomies of SMEs' owner-managers on MMT adoption, with dearth recourse to how the proxies of location factors such as workforce diversity and knowledge centres moderate and describe such relationship. To bridge that void, opinions of 345 SMEs' owner-managers in five industries situated in the state capital and commercial nerve cities of three Geo-political zones of Nigeria were purposively sampled. The analysis involved hierarchical regression and its outcome showed that diversified workforce and enhanced knowledge centres critically moderated the extant relationship between the demographic composition (age, gender, education and experience) of owner-managers and MMT adoption. Hence, location factors are moderators of the relationship between owner/managers' demographic composition and MMT adoption. Implicit is that understanding the demographic composition of owner-managers provides industry players with strong basis for competitive advantage, as well as opportunity to proactively and tactically make decisions that relate to MMT adoption.

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 for the implementation of the circular economy in Big Data environments in service companies in post pandemic times of COVID-19: The case of Colombia

In emerging economies, Big Data (BD) analytics has become increasingly popular, particularly regarding the opportunities and expected benefits. Such analyzes have identified that the production and consumption of goods and services, while unavoidable, have proven to be unsustainable and inefficient. For this reason, the concept of the circular economy (CE) has emerged strongly as a sustainable approach that contributes to the eco-efficient use of resources. However, to develop a circular economy in DB environments, it is necessary to understand what factors influence the intention to accept its implementation. The main objective of this research was to assess the influence of attitudes, subjective norms, and perceived behavioral norms on the intention to adopt CE in BD-mediated environments. The methodology is quantitative, cross-sectional with a descriptive correlational approach, based on the theory of planned behavior and a Partial Least Squares Structural Equation Model (PLS-SEM). A total of 413 Colombian service SMEs participated in the study. The results show that managers' attitudes, subjective norms, and perceived norms of behavior positively influence the intentions of organizations to implement CB best practices. Furthermore, most organizations have positive intentions toward CE and that these intentions positively influence the adoption of DB; however, the lack of government support and cultural barriers are perceived as the main limitation for its adoption. The research leads to the conclusion that BD helps business and government develop strategies to move toward CE, and that there is a clear positive will and intent toward a more restorative and sustainable corporate strategy.

Applying deep learning to predict innovations in small and medium enterprises (SMEs): the dark side of knowledge management risk

Purpose

This study aims to predict the dark side of knowledge management risk to innovation in Portuguese small and medium enterprises (SMEs). It examines the spinner innovation model factors of knowledge creation, knowledge transfer, private knowledge, public knowledge and innovation in uncertain environments.

Design/methodology/approach

The authors developed a conceptual model to support the analysis. The survey data stemmed from a sample of 208 Portuguese SMEs in Portugal. The authors analyzed the primary data from the ad hoc survey using the data mining (deep learning) technique.

Findings

The research sets out and tests factors relevant to understanding how to predict innovation in uncertain business environments. This study identifies four factors fostering innovation in SMEs: knowledge creation, knowledge transfer, public knowledge management and private knowledge management. Knowledge creation showed the best return and presented the closest relationship with innovation.

Originality/value

Innovation models generally measure the relationships between variables and their impacts on the economy (economic and regional development). Predictive models are considered in the literature as a gap to be filled, especially in an uncertain environment in the SME context.

Exploring the contextual factors affecting financial shared service implementation and firm performance

Purpose

Although the financial shared service (FSS) mode has become a well-established organizational arrangement, current information system (IS) research remains limited and mixed. The purpose of this study is to narrow research gaps in the literature on shared services from an FSS practice perspective. The following research questions guide this study: (1) what are the important antecedents of FSS implementation? (2) what is the impact of FSS implementation on firm performance?

Design/methodology/approach

Drawing on the technology–organization–environment (TOE) framework and previous innovation studies, this study explores the impact of FSS implementation on firm performance. A questionnaire survey was conducted on Chinese firms using partial least squares (PLS) for data analysis.

Findings

The authors find technological, organizational and environmental factors affect the extent and depth of FSS implementation. The empirical results show that relative advantage, compatibility, top management support, managerial obstacles and competitive pressure significantly affect FSS implementation, but bandwagon pressure does not have a direct impact on it. Top management support is the most important factor, and managerial obstacles and compatibility are controllable and manageable factors for firms. The study confirms that FSS improves the financial and non-financial performance of firms significantly, and the degree of improvement in non-financial is greater than that in financial performance.

Practical implications

A comprehension of the key factors influencing FSS implementation will help companies predict weaknesses in their implementation plan and design suitable strategies to handle deployment to achieve these benefits. Managers can make a comprehensive decision regarding the long-term development of combining FSS and the suitability of companies.

Originality/value

The findings contribute to the shared services implementation theory by identifying a set of theoretical factors that shape a firm's shared service implementation. This study provides empirical support to gauge the impact of FSS implementation on firm performance and provides new evidence for a shared-service payoff study. Moreover, the study extends the applicability of the TOE framework and the balanced scorecard (BSC) viewpoint to the FSS implementation field.

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.

Technology Adoption and Human Resource Management Practices: The Use of Artificial Intelligence for Recruitment in Bangladesh

Artificial intelligence (AI) is now considered indispensable in undertaking operational activities, especially in the area of human resource analytics. However, in practice, the rate of the adoption of such modern algorithms in organisations is still in its early stages. Consequently, the primary objective of this study is to identify the main antecedents of the adoption of AI-based technologies in recruitment, using the lens of the unified theory of acceptance and use of technology (UTAUT) model, alongside perceived credibility and moderating variables, in the context of an emerging nation in South Asia, namely Bangladesh. Data were collected from 283 human resource professionals employed in different manufacturing and service firms in Bangladesh through the administration of a questionnaire, which was analysed by applying PLS-SEM. The outcomes of the study show that all the direct hypothesised relationships were found to be significant, apart from the extended variable of perceived credibility. However, no moderating effect of gender or firm size was found in any of the hypothesised propositions. Finally, policy implications and recommendations for future researchers are proposed.

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.

Linking Digital Capacity to Innovation Performance: the Mediating Role of Absorptive Capacity

Digital technologies are considered as factors that accelerate the pace of innovation and increase the firm’s innovation performance. However, few studies have investigated whether this claim is conditioned by other elements that contribute to innovation. Furthermore, firms increasingly rely on external knowledge sources to expand their internal knowledge base for the development of innovations. In this context, absorptive capacity can be considered as an essential organizational capability to embrace adoption of digital technologies and enhance their positive effect on innovation performance. This paper builds on this discussion and studies the contribution of digital capacity on innovation performance, proposing the mediating role of absorptive capacity in the context of the digital transformation. It uses evidence from an extensive Greek survey in 1014 manufacturing firms and analyzes the complex relationships underlying the role of digital transformation to innovation. The contribution of the paper is two-fold: (i) it provides a deeper insight into the underlying mechanisms through which firms can leverage their digital capacity to accelerate innovation, and (ii) it highlights the important mediating role of absorptive capacity in enhancing the positive effects of digitalization indicating that digital capacity is not an unquestionable asset for innovation performance. Accordingly, our results show a positive direct contribution of digital capacity to innovation performance, which is enhanced in the presence of absorptive capacity as a mediator. In fact, the indirect effect of digital capacity to innovation performance through absorptive capacity is stronger. These findings present important policy implications, as there is need for improvement in other innovation-related aspects of the business ecosystem to efficiently address the challenge of digital transformation, such as R&D efforts, training, interaction among actors, and building of communities of practice.

Analysis of the Conditions Influencing the Assimilation of the Robotic Process Automation by Enterprises

More and more companies are implementing the RPA (Robotic Process Automation) tools that belong to the newly emerging category of IT solutions used to automate business processes and enable the development of the so-called software robots. The term robot has a metaphorical meaning here – it is a special kind of software, not a device. Due to the fact that this is a new product category and many companies do not have extensive experience in this area yet, the use of the RPA tools is associated with many risks. At the same time, due to the increasingly competitive environment, it seems that there is no turning back from the implementation thereof. For this reason, two goals have been set in the article. The first is to build and verify a research model based on the TOE model (Technology-Organization-Environment), allowing for the identification of the determinants (drivers) influencing the assimilation of the robotic process automation by enterprises. The second goal is to develop recommendations for the managers responsible for implementing the RPA tools that will allow for increasing the assimilation of the robotic process automation. The following methods were used to accomplish these goals: literature research, a survey (conducted on 267 Polish enterprises) and statistical analysis (with the use of the structural equation models).

Broadband Mobile Applications’ Adoption by SMEs in Taiwan—A Multi-Perspective Study of Determinants

The purpose of this study is to explore what determinants affect small and medium enterprises regarding the adoption of broadband mobile applications. Today, broadband mobile applications are changing the business landscape rapidly, which presents a vital issue for enterprises to understand and tackle. Both qualitative and quantitative methods were applied in this study in order to analyze the issues enterprises may face with broadband mobile applications. Qualitatively, a preliminary study was conducted based on a review of literature to explore the factors that impact small and medium enterprises. Quantitatively, Structural Equation Modeling and AMOS were deployed to further examine the potential factors. As broadband mobile applications are mostly installed in the personal mobile device and operated by individuals, this study integrated the perspective of internal users along with the Technology-Organization-Environment framework to develop an ITOE research model to provide a more comprehensive view on the determinants and factors. The practicality and feasibility of the ITOE research model were then verified by the study results through the fifteen determinants identified. Based on the findings, implications and future research directions are proposed.

Cloud accounting adoption in Thai SMEs amid the COVID-19 pandemic: an explanatory case study

The COVID-19 pandemic has altered the way small and medium-sized businesses (SMEs) function. To maintain business efficiency and reduce operating costs in the context of the constraints imposed by the pandemic, SMEs have been forced to embrace new digital technologies. Cloud accounting is becoming an increasingly important business operating tool for SMEs. By adopting cloud-based accounting, SMEs can become more efficient, financially organized, and flexible. This study aims to investigate the factors that have a pervasive influence on cloud accounting adoption among SMEs in Thailand, following the pandemic's effects. This study integrates three technology adoption theories-the Technology-Organization-Environment framework, Diffusion of Innovation theory, and Institutional Theory-and studies them alongside SMEs' unique characteristics. The research employs a qualitative case study method and triangulated sources of evidence. The findings provide important implications for the research community, policymakers, cloud accounting vendors, and SME owners aiming to formulate better approaches to cloud accounting adoption after the pandemic. The results suggest that vendors should focus on SMEs' particular characteristics and needs. By contrast, SMEs should determine the organizational fit of the cloud accounting platform and integrate cloud accounting with other aspects of their operations.

An application of data mining algorithms for predicting factors affecting Big Data Analysis adoption readiness in SMEs

The adoption of Big Data Analysis (BDA) has become popular among firms since it creates evidence for decision-making by managers. However, the adoption of BDA continues to be poor among small and medium enterprises (SMEs). Therefore, this study adopted the Technology-Organization-Environment (TOE) framework to identify the drivers of readiness to adopt BDA among SMEs. Chi-square automatic interaction detection (CHAID), Bayesian network, neural network, and C5.0 algorithms of data mining were utilized to analyze data collected from 240 Vietnamese managers of SMEs. The evaluation model identified the C5.0 algorithm as the best model, with accurate results for the prediction of factors influencing the readiness to adopt BDA among SMEs. The findings revealed management support, data quality, firm size, data security and cost to be the fundamental factors influencing BDA adoption readiness. Moreover, the results identified the service sector as having a higher level of readiness toward the adoption of BDA compared to the manufacturing sector. The findings are imperative for the enhancement of the decision-making process and advancement of comprehension of the determinants of BDA adoption among SMEs by researchers, managers, providers and policymakers.

Key Adoption Factors for Collaborative Technologies and Barriers to Information Management in Construction Supply Chains: A System Dynamics Approach

Construction processes are complex and dynamic. Like its other components, the construction supply chain (CSC) involves multiple stakeholders requiring varying levels of information sharing. In addition, the intensity and diversity of information in CSCs require dexterous management. Studies reveal that information complexity can be reduced using collaborative technologies (CTs). However, the barriers to information management (IM) hinder the CTs’ adoption process and cause complexity in CSCs. This research identifies barriers to IM and factors affecting the adoption of CTs in developing countries. In order to understand and address complexity, the system dynamics (SD) approach is adopted in this study. The aim is to investigate if SD can reduce information complexity using CTs. Causal loop diagrams (CLDs) were developed to understand the relationship between the IM barriers and CT adoption factors. The SD model, when simulated, highlighted three main components, i.e., complexity, top management support, and trust and cooperation, among others, as factors affecting the adoption of CTs. Addressing these factors will reduce information complexity and result in better IM in construction projects.

Examining the critical factors of computer-assisted audit tools and techniques adoption in the post-COVID-19 period: internal auditors perspective

Purpose

In light of the repercussions of the COVID-19 pandemic, electronic auditing otherwise known as computer-assisted audit tools and techniques (CAATTs) has become inevitable to automate the auditing process worldwide. Accordingly, the purpose of this study is to examine the influence of technological, organizational and environmental (TOE) factors on public sector adoption of CAATTs in developing countries such as Jordan under the COVID-19 pandemic conditions.

Design/methodology/approach

This study used 136 usable responses from the managers of internal audit (IA) of the Jordanian public sector entities. The data collected were analyzed using partial least squares-structural equation modeling. The TOE framework has been used in this study to consider a wide set of TOE factors. Then, this study suggests a CAATTs adoption model that incorporates the related technology factors of the diffusion of innovation theory to environmental and organizational factors. Further, this study contributes to the TOE framework by addressing government regulations, audit bodies’ support and audit task complexity as environmental factors affecting CAATTs adoption in the context of the public sector.

Findings

The results revealed that for technological factors, only the compatibility affects CAATTs adoption by the IA departments. For organizational factors, organizational readiness, top management support, auditors’ information technology competency and entity size were found to be significant factors. From the environmental factors, both government regulation and audit task complexity influence the CAATTs adoption. Besides, entity size moderates the influence of top management support on the CAATTs adoption in the public sector.

Practical implications

The findings could highlight the significance of the CAATTs adoption in the public sector institutions (by internal auditors) post-COVID-19, taking into consideration the TOE framework’s factors. Also, the findings are significant for the decision-makers and regulators in declaring new legislation for the electronic IA profession in the Jordanian public sector.

Social implications

It turns out that the CAATTs adoption in the public sector can definitely enhance their ability to achieve the role of IA in preserving public funds and restricting corrupt practices within the public sector.

Originality/value

To the best of the authors’ knowledge, this study is one of the first studies that address the professional audit agency support and audit task complexity as environmental factors, as well as the entity size as an organizational factor, that affect CAATTs adoption in the IA department of the public sector.

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.

The Mediating and Moderating Effects of Top Management Support on the Cloud ERP Implementation–Financial Performance Relationship

Cloud enterprise resource planning (ERP) is one of the most sought after information technology (IT) solutions for improving business performance due to its affordability, scalability, and pay-per-use subscription model. The impact of cloud ERP implementation on business performance, on the other hand, remains inconclusive. Additionally, an important factor that transverses all organizational processes, including IT implementation, is top management support (TMS). However, the TMS role in the latter stage (business value realization) of implementation is unclear. The purpose of this paper is to examine the mediating and moderating impacts of top management support (TMS) on the relationship between cloud ERP implementation and financial performance. A total of 204 small and medium enterprises (SMEs) in Malaysia were surveyed, and data analysis was conducted using partial least square structural equation modelling (PLS-SEM). The results demonstrate that TMS plays a partial mediating role in the relationship between cloud ERP implementation and financial performance, and that this relationship is significantly stronger in SMEs with low TMS levels. As a result, it is concluded that top management should provide the required support following successful cloud ERP implementation in order to achieve positive financial results. However, the TMS role in the latter stage (business value realization) of cloud ERP implementation is unclear.

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.

Factors Influencing the Adoption of Big Data Analytics in the Digital Transformation Era: Case Study of Jordanian SMEs

Big data (BD) analytics has been increasingly gaining attraction in both practice and theory in light of its opportunities, barriers and expected benefits. In particular, emerging economics view big data analytics as having great importance despite the fact that it has been in a constant struggle with the barriers that prevent its adoption. Thus, this study primarily attempted to determine the drivers of big data analytics in the context of a developing economy, Jordan. The study examined the influence of technological, organizational and environmental factors on big data adoption in the Jordanian SMEs context, using PLS-SEM for the analysis. The empirical results revealed that the relative advantage, complexity, security, top management support, organizational readiness and government support influence the adoption of BD, whilst pressure of competition and compatibility appeared to be of insignificant influence. The findings are expected to contribute to enterprise management and strategic use of data analytics in the present dynamic market environment, for both researcher and practitioner circles concerned with the adoption of big data in developing countries.

Augmented reality adoption intention among travel and tour operators in Malaysia: mediation effect of value alignment

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Factors Affecting Cloud ERP Adoption by Tunisian SMEs

This study aims to identify the factors that determine the intention to adopt cloud ERP by Tunisian small, medium, and micro-enterprises (SMEs). Based on previous studies on cloud computing and cloud ERP, a research model was developed. A questionnaire survey was administrated online with two samples of adopters and non-adopters of traditional ERP during the first wave of the COVID-19 pandemic in Tunisia. Collected data were analyzed through PLS-SEM techniques. Findings suggest that both compatibility and technological readiness are favoring the cloud ERP adoption by SMEs adopters of traditional ERP, whereas compatibility and managers' support are driving its adoption by SMEs, non-adopters of these systems. Relative advantage, complexity, data security and confidentiality, financial readiness, regulatory support, and competitive pressure are insignificant factors for the two samples. This research contributes to fill some of the highlighted theoretical gaps in the field and may help managers and ICT staff in SMEs, cloud ERP providers, and policy makers to make more informed decisions.

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.

Implementing Vertical Integration in the Industry 4.0 Journey: Which Factors Influence the Process of Information Systems Adoption?

One of the key principles of Industry 4.0 is the implementation of vertical integration, which considers the integration of information systems from different hierarchical levels in a company to support decision-making with real-time data flows. Companies face challenges when they want to implement vertical integration, which is not trivial due to the risks inherent to the decision stages of adoption. We investigate the main factors influencing the different stages of adoption of vertical integration to provide a clearer view of what managers should consider at each stage. We adopt a multi-case study approach based on the investigation of ten companies that followed this adoption process. We develop a framework with 22 factors deployed in the three stages of decision (knowledge, persuasion, and final decision) and three main dimensions of analysis: technology, organization, and environment. We analyze the potential tensions between these factors and show how managers should balance such factors during the decision stages.

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.

Assessment of ICT policies for digital transformation in Colombia: technology readiness for IoT adoption in SMEs in the trading sector

Purpose

This paper aims to assess information and communication technologies (ICT) policies for digital transformation in Colombia to determine their effectiveness in technology readiness for Internet of Things (IoT) adoption in small and medium enterprises (SMEs) in the trading sector.

Design/methodology/approach

The authors conducted a longitudinal study using the ICT module of the Annual Trade Survey (2017–2018) to determine the relationship between SMEs in the trading sector adopting ICT applications and ICT policy enforcement. In this sense, this study applied a chi-square test for independence and addressed a descriptive analysis to determine SMEs’ causes for adopting or rejecting ICT applications.

Findings

This study presents the state of ICT adoption in Colombian SMEs in the trading sector between 2017 and 2018, highlighting that technology readiness is crucial for adopting technological trends.

Research limitations/implications

The data source used for the study is only available for analysis one year after implementing ICT policies focused on digital transformation.

Practical implications

The results support the need for the National Government to formulate IoT policies that favor the adoption of e-commerce based on IoT technologies in SMEs in the trading sector.

Social implications

IoT adoption can mitigate e-commerce problems strengthening SMEs’ competitiveness in the trading sector leading the digital transformation in Colombia.

Originality/value

This study presents the need to formulate IoT policies in Colombia focused on deploying IoT applications to strengthen e-Commerce in SMEs in the trading sector.

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.

A retrospective overview of Journal of Enterprise Information Management using bibliometric analysis

Purpose

Journal of Enterprise Information Management (JEIM) is a leading journal that publishes studies on applied information management relevant to industry personals, academicians and researchers. This study uses bibliometric tools to present a retrospective analysis of the journal's outcomes.

Design/methodology/approach

The authors applied bibliometric tools for analysing the impact, topic coverage, renowned authors with affiliation, citation, methodology and analysis of the JEIM corpus. Additionally, they used bibliographic coupling to develop a graphical visualisation and analyse the journal's thematic evolution.

Findings

With 16 yearly articles, JEIM contributed 656 research articles on various themes. The major themes that have come to define the JEIM over this time include information and systems, supply chain management, manufacturing resource planning, communication technologies and small- to medium-sized enterprises. Empirical methodology, quantitative techniques with descriptive analysis and regression methods are the most preferred. The article's primary research purpose shows the majority of theory-verifying articles. Co-authorship analysis reveals that the single-author trend is decreasing and the journal now has articles with international collaborations.

Originality/value

This study is the retrospective analysis of the JEIM, which is useful for aspiring contributors and the journal's editors.

Analysis of the factors influencing adoption of 3D design digital technologies in Colombian firms

Purpose

The purpose of this study is to analyse the factors influencing intention to adopt 3D design digital technologies (3DDTs) by Colombian firms.

Design/methodology/approach

A conceptual framework was developed using technology-organization-environment (TOE) and technology acceptance model (TAM) theoretical frameworks. From a sample of 138 firms, a structural equation model was analysed with partial least squares (SEM-PLS).

Findings

The study identified that perceived usefulness in the technological dimension; technological competence and top management support in the organizational dimension; and competitive pressures in the environmental dimension, are variables affecting intention to adopt 3DDT. The effects of the mediating variables with respect to intention to adopt the technology are also analysed, such as perceived usefulness on the effect of ease of use; top management support on the effect of technological competence and financial readiness; and competitive pressures on the effect of stakeholder pressure. The model explained 71.1% of the 3DDT intention to adopt.

Practical implications

The model can be used as a guideline to ensure a positive outcome of the 3DDT adoption in organizations. The results could be useful to understand a technological adoption process for digital transformation.

Originality/value

The proposed model integrates some contributions from the TAM and TOE theories and identifies some novel mediating effects that improve its predictive and explanatory power. Furthermore, this is a pioneering study in empirical research on 3DDT in the context of a developing country, specifically in Colombia. The findings from this study provide a foundation for other studies, as well as constructive insights for digital transformation, due to its infancy in an emerging economy.

The determinant factors for the adoption of CRM in the Palestinian SMEs: The moderating effect of firm size

CRM adoption can provide innumerable benefits to the SMEs performance, including solving customer problems in a timely manner, enhancing customer satisfaction by appointing an expert to solve issues and queries, and the like. This study aims to examine the moderating effects of the firm size in the adoption of CRM in the Palestinian SMEs. A quantitative approach was used to investigate the relationships between the variables, which are compatibility, IT infrastructure, complexity, relative advantage, security, top management support, customer pressure, and competitive pressure. A questionnaire was designed to collect data from 420 SMEs in Palestine. A total of 331 respondents completed and returned the survey. The Partial Least Square-Structural Equation Model (PLS-SEM) approach was used to assess both the measurement and structural models. The Diffusion of Innovation Theory (DOI) and Technology, Organization, and Environment Framework (TOE) framework were employed to identify the determinant factors from the technological, organizational, and environmental perspectives. The findings and conclusions of this study provide show that the moderating effect of firm size has significant effect compatibility, top management support, customer pressure, and IT infrastructure factors.

Social Media Adoption and Financial Sustainability: Learned Lessons from Developing Countries

Social Media (SM) is considered one of the most discussed topics in today’s business environment, mostly because of the recent developments and improvements in computer and ICT (Information and Communications Technology) technologies. However, very little is known about Social Media’s (SM) role in creating Small and Medium-sized Enterprises’ (SMEs’) financial sustainability. Drawing upon the Technology Organisational and Environmental (TOE) framework, the authors constructed a comprehensive model that examined the role of different factors in the adoption of SM by SMEs in developing countries (using Pakistan as an example). Using a questionnaire survey of 383 owners/managers of SMEs in Pakistan, the research findings determined the different factors (i.e., organisational, technological, and environmental), which can impact the adoption of SM by SMEs. In line with previous research studies, the results of structural equation modelling show that technological factors such as perceived benefits of SM, compatibility of SM, cost, and trust have a substantial effect on SMEs’ SM adoption. Similarly, both organisational factors: top management support and technological competence, are strong predictors of SM adoption in SMEs. Finally, environmental factors (i.e., competitor pressure, customer pressure, and information intensity) positively impacted SM adoption by SMEs. The effect of SM adoption on SMEs’ financial sustainability was also tested and found to be positive and significant. Several theoretical and practical implications for owners/managers and other stakeholders regarding SM’s successful implementation by SMEs are highlighted within the paper.

Some antecedent factors that shape SMEs adoption of social media marketing applications: a hybrid approach

Purpose

Although several researchers have made significant efforts to examine the adoption of social media marketing technology in Nigeria, many have focussed on large organizations while others have constantly extrapolated the findings obtained in the Western world as if small and medium enterprises (SMEs) have the same structure, managerial capabilities, and operate in the same way. This has hindered the development of an integrated framework aimed at unravelling the factors shaping the adoption of social media marketing applications in SMEs in Nigeria. The paper, therefore, aims to explore some antecedent factors that shape SMEs adoption of social media marketing applications in SMEs in Nigeria.

Design/methodology/approach

The study deployed a qualitative approach with the use of unstructured and semi-structured interviews with a total of 20 participants drawn purposeful from Nigeria directories and analysed by using a hybrid method of thematic analysis.

Findings

The study developed an extended technology–organization–environment framework (TOE) framework that incorporated the communication context, which aids in identifying 11 key success factors shaping SMEs adoption of social media marketing technology in Nigeria. The findings associated with the extended TOE framework show that they have an impact on social media marketing technology adoption in SMEs.

Research limitations/implications

Because the researchers adopted the qualitative method, the findings may lead to some bias in the analysis of the data which may limit the insights into the key factors shaping the adoption of social media marketing technology adoption. Future studies may adopt a mixed-method approach or a comparative approach to confirm the finding and to better understand the critical factors linked to the framework. Although it is believed the with the use of thematic data analysis, the results are well associated with the structure; however, the structure has limitations. Drawing from the data analysis, the factors are limited. Other factors which may positively influence social media marketing adoption in SMEs. Hence, further studies are needed in this area in a bid to explore these factors by using different research appraoches.

Originality/value

The study has enriched the existing TOE framework and provided insights into the dominant issue faced by SMEs in adopting social media marketing technology, provided an analytical dimension, reliable explanation of these finding and tool for evaluating some of the challenges faced by SMEs in the adoption of social media marketing technology.

The Use of the UTAUT Model in the Adoption of E-Learning Technologies

E-learning is treated as a learning approach in higher education worldwide. E-learning systems are all about using digital technologies to acquire, store, and process learning resources. This article aims to examine the end-users' acceptance of e-learning in the banking sector using the unified theory of acceptance and use of technology (UTAUT) model. The paper reviews the extant literature from which a theoretical model is developed and tested empirically in the French context. The UTAUT is extended by incorporating one additional factor (top management support). A quantitative approach based on cross-sectional survey was used to collect data from 133 bank officials. Data was analyzed using, statistical software SPSS version 15. The article successfully confirms the applicability of e-learning in France-based banks. The model developed in this paper helps the practitioner to understand the factors that should be given emphasis to ensure the effective development and acceptance of the e-learning technologies in a commercial setting.

Understanding the Determinants and Future Challenges of Cloud Computing Adoption for High Performance Computing

High performance computing (HPC) is widely recognized as a key enabling technology for advancing scientific progress, industrial competitiveness, national and regional security, and the quality of human life. Notwithstanding this contribution, the large upfront investment and technical expertise required has limited the adoption of HPC to large organizations, government bodies, and third level institutions. Recent advances in cloud computing and telecommunications have the potential to overcome the historical issues associated with HPC through increased flexibility and efficiency, and reduced capital and operational expenditure. This study seeks to advance the literature on technology adoption and assimilation in the under-examined HPC context through a mixed methods approach. Firstly, the determinants of cloud computing adoption for HPC are examined through a survey of 121 HPC decision makers worldwide. Secondly, a modified Delphi method was conducted with 13 experts to identify and prioritize critical issues in the adoption of cloud computing for HPC. Results from the quantitative phase suggest that only organizational and human factors significantly influence cloud computing adoption decisions for HPC. While security was not identified as a significant influencer in adoption decisions, qualitative research findings suggest that data privacy and security issues are an immediate and long-term concern.

Factors Influencing the Realization of Competitive Advantage in the Private Portals Context

The aim of this study is to empirically explore the influences of a set of key technological, organizational, and environmental (TOE) factors on the achievement of a strategic promised benefit of private portals, which is competitive advantage. Such exploration has not received attention in the web-based information systems’ area. To explore these influences, a theoretical model was developed on the basis of the information system adoption’s literature. The model postulates the TOE factors as crucial antecedents to the realization of competitive advantage. To validate the theoretical model, a questionnaire was constructed by focusing on the most precise measurements items for the TOE factors. A total of 241 responses were collected from the private portal’s users in a higher education institution in Saudi Arabia. The structural equation modeling approach was applied for conducting the required assessment. The results demonstrate that among the tested TOE factors, the relative advantage of private portals and the competitive pressure to adopt them have positive impacts on the achievement of competitive advantage. The empirical evidences produced by this study provide more clarifications about the factors that should be managed carefully to gain competitive advantage from the adopted information system innovations.

A Multi-Analytical Approach to Predict the Determinants of Cloud Computing Adoption in Higher Education Institutions

Cloud computing (CC) delivers services for organizations, particularly for higher education institutions (HEIs) anywhere and anytime, based on scalability and pay-per-use approach. Examining the factors influencing the decision-makers’ intention towards adopting CC plays an essential role in HEIs. Therefore, this study aimed to understand and predict the key determinants that drive managerial decision-makers’ perspectives for adopting this technology. The data were gathered from 134 institutional managers, involved in the decision making of the institutions. This study applied two analytical approaches, namely variance-based structural equation modeling (i.e., PLS-SEM) and artificial neural network (ANN). First, the PLS-SEM approach has been used for analyzing the proposed model and extracting the significant relationships among the identified factors. The obtained result from PLS-SEM analysis revealed that seven factors were identified as significant in influencing decision-makers’ intention towards adopting CC. Second, the normalized importance among those seven significant predictors was ranked utilizing the ANN. The results of the ANN approach showed that technology readiness is the most important predictor for CC adoption, followed by security and competitive pressure. Finally, this study presented a new and innovative approach for comprehending CC adoption, and the results can be used by decision-makers to develop strategies for adopting CC services in their institutions.

Quantifying SWOT analysis for cloud adoption using FAHP-DEMATEL approach: evidence from the manufacturing sector

Purpose

This study aims to identify the critical factors (barriers and drivers) influencing the adoption of cloud computing (ACC) in the manufacturing sector in India.

Design/methodology/approach

In this study, a mixed methodology approach is used. Interviews are conducted to investigate factors (drivers and barriers) influencing the ACC, which are further categorized as controllable determinants (weaknesses and strengths) and uncontrollable determinants (threats and opportunities) using a SWOT analysis. Fuzzy analytic hierarchy process (FAHP) has been utilized to highlight the most critical drivers as well as barriers. Finally, decision-making trial and evaluation laboratory (DEMATEL) has been used to find the cause-effect relationships among factors and their influence on the decision of adoption.

Findings

The manufacturing sector is in the digital and value change transformation phase with Industry 4.0, that is, the next industrial revolution. The 24 critical factors influencing ACC are subdivided into strengths, weaknesses, opportunities and threats. The FAHP analysis ranked time to market, competitive advantage, business agility, data confidentiality and lack of government policy standards as the most critical factors. The cause-effect relationships highlight that time to market is the most significant causal factor, and resistance to technology is the least significant effect factor. The results of the study elucidate that the strengths of ACC are appreciably more than its weaknesses.

Research limitations/implications

This study couples the technology acceptance model (TAM) with technology-organization-environment (TOE) framework and adds an economic perspective to examine the significant influences of ACC in the Indian manufacturing sector. Further, it contributes to the knowledge of ACC in general and provides valuable insights into interrelationships among factors influencing the decision and strategies of adoption in particular.

Originality/value

This is the first scholarly work in the Indian manufacturing sector that uses the analysis from SWOT and FAHP approach as a base for identifying cause-effect relationships between the critical factors influencing ACC. Further, based on the extant literature and analysis of this work, an adoption framework has been proposed that justifies that ACC is not just a technological challenge but is also an environmental, economic and organizational challenge that includes organizational issues, costs and need for adequate government policies.

Cloud Computing Usage in SMEs. An Empirical Study Based on SMEs Employees Perceptions

This paper aims to determine the perception of small and medium-sized enterprises (SMEs) employees regarding the usage of cloud computing services in their activities. The quantitative study was conducted on a sample of 315 respondents employed in Romanian SMEs. Testing of the conceptual model was performed with the WarpPLS 3.0 software. The study aimed to test how several constructs—the perceived benefits, disadvantages and risks, communication process, overall experience of using cloud computing services, perceived image, and empathy regarding the cloud computing services—influence the perception of the cloud computing service quality among SMEs employees. Moreover, employees’ perception regarding the satisfaction of using cloud computing services based on the perceived quality was also tested. We concluded that the perceived benefits and disadvantages of cloud computing service usage, the perception of both the communication process and users’ experience regarding cloud computing service use, empathy, and cloud computing service image positively influence the perceived quality of the cloud computing service usage in SMEs. We did not find evidence that the perceived risks significantly influence the perceived quality of cloud computing services. Finally, we demonstrated that the perceived quality of the cloud computing services positively influences the satisfaction regarding cloud computing services among SMEs employees.

Cloud computing in SMEs: towards delegation of the CIO role

Purpose

The purpose of this paper is to contribute to a growing body of research on information systems security, by studying open source alternatives for cloud computing. Several questions have been raised about the reliability of these promising but ambiguous offers, as the adoption of a cloud solution within an enterprise is generally accompanied by a change in the chief information officer (CIOs) role and loss of expertise.

Design/methodology/approach

The research uses a mixed research methodology: a first step is based on a questionnaire survey to investigate the security aspects of open source and understand the role of CIOs in the migration process. The investigation involved nearly 800 companies operating in the cloud computing sector in 16 European countries between November 2015 and January 2016. Then, this paper completes the research with a qualitative study by examining the activity of two sample companies.

Findings

Research confirms that open source cloud solutions offer a higher level of security than proprietary solutions. It is also noted that the role of CIOs is delegated to a third external actor: a transition CIO. Transition CIO is the guarantor of the strategic and security choices of small and medium enterprises.

Research limitations/implications

These findings have important implications and great value to managers and cloud computing providers, in terms of formulating better cloud computing solutions. This study can also assist in increasing their understanding of the new role of CIO in the migration process to cloud computing.

Originality/value

This study contributes to the body of research on cloud computing. It is first of its kind with its focus on open source alternatives. Another novelty of this research is that it suggests a new conception for the CIOs role in the migration to cloud computing. Finally, the findings of this study would serve as a European market study to different companies interested in cloud computing.

Big data analytics adoption model for small and medium enterprises

Purpose

Big data analytics (BDA) is recognized as a turning point for firms to improve their performance. Although small- and medium-sized enterprises (SMEs) are crucial for every economy, they are lagging far behind in the usage of BDA. This study aims to provide a single and unified model for the adoption of BDA among SMEs with the integration of the technology–organization–environment (TOE) model and resource-based view.

Design/methodology/approach

A survey of 112 manufacturing SMEs in Iran was conducted, and the data were analysed using structural equation modelling to test the model of this study.

Findings

The results offer evidence of a BDA mediation effect in the relationship between technological, organizational and environmental contexts, and SMEs performance. The findings also demonstrated that technological and organizational elements are the more significant determinants of BDA adoption in the context of SMEs. In addition, the result of this study confirmed that BDA adoption could enhance the financial and market performance of SMEs.

Practical implications

Providing a single unified framework of BDA adoption for SMEs enables them to appreciate the importance of most influential elements (technology, organization and environment) in the adoption of BDA. Also, this study may encourage SMEs to be more willing to use BDA in their businesses.

Originality/value

Although there are studies on BDA adoption and firm performance among large companies, there is a lack of empirical research on SMEs, in particular, based on the TOE model. SMEs differ from large companies in terms of the availability of resources and size. Therefore, this study aimed to initiate a conceptual framework of BDA adoption for SMEs to assist them to be able to take advantage of the adoption of such technology.

Analysing the adoption of cloud computing service: a systematic literature review

Purpose

The purpose of this paper is to presents an analysis of geographically and disciplinary scattered academic publications of cloud computing (CC) research in information systems. This review aims to understand the research methodology, research frameworks and models, geographical distribution, trends, critical factors and causal relationships associated with cloud computing adoption (CCA).

Design/methodology/approach

Systematic-literature-review using natural language processing is conducted to explore the phenomenon. The relevant research studies are extracted from various online databases using quality-assessment-criteria.

Findings

The study is a novel attempt to highlight the differences in critical factors for CCA in different country-settings. Further, the research explores the causal relationships among the identified factors. The findings of this 12-year systematic-review contribute by aiding the providers and potential adopters to devise context-specific strategies for the penetration of cloud services and sound adoption decisions (ADs), respectively. The findings also highlight the prospective avenues of research in the domain for researchers. Using the in-depth analysis, conceptual frameworks have been proposed that can assist in exploring the pre-adoption and post-adoption of CC.

Originality/value

This study contributes to CCA research by providing holistic insights into the methodology, research framework and models, geographical focus, critical factors and causal relationships influencing the AD or intention. The review highlights the unexplored emerging research topics in the field of CCA for future research directions.