Search results

This study aims to investigate the determinants of successful implementation of cloud computing and, further, examines how cloud computing success influences firm performance.

The authors developed a conceptual framework based on the integration of several strands of literature in business studies and information systems. To test the proposed model, data were collected from 300 Chinese firms which have adopted cloud computing. To analyze the data, partial least squares structural equation modeling (PLS-SEM) was used. An importance-performance map analysis (IPMA) was also conducted to identify the critical factors that exhibit high importance but low performance.

The results of the study revealed that end-user satisfaction, information quality, system quality, managerial information technology (IT) capability and technical IT capability significantly affect cloud computing success. Additionally, cloud computing success has a strong and positive impact on firm performance. IPMA further confirms that managers need to concentrate more on system quality, information quality, user satisfaction and technical IT capability.

This paper is one of the few attempts to integrate several theoretical frameworks (i.e. IT capabilities and resource-based view, expectation-confirmation theory, and information system success theory) to develop a comprehensive model for understanding the key determinants of cloud computing success and its impact on firm performance. This study makes a useful contribution to the conventional information systems (IS) literature and IT management practice.

This paper aims to study the economic effects of Cloud Computing for a sample of Israeli firms. The authors propose a framework that considers how this technology affects firm performance also introducing the indirect economic effects that take place through cloud-complementary technologies such as Big Data and Machine Learning.

The model is estimated through structural equation modeling. The data set consists of the microdata of the survey of information and communication technologies uses and cyber protection in business conducted in Israel by the Central Bureau of Statistics.

The results point to Cloud Computing as a crucial technology to increase firm performance, presenting significant direct and indirect effects as the use of complementary technologies maximizes its impact. Firms that enjoy most direct economic gains from Cloud Computing appear to be the smaller ones, although larger enterprises seem more capable to assimilate complementary technologies, such as Big Data and Machine Learning. The total effects of cloud on firm performance are quite similar among manufacturing and service firms, although the composition of the different effects involved is different.

This paper is one of the very few analyses estimating the impact of Cloud Computing on firm performance based on country microdata and, to the best of the authors’ knowledge, the first one that contemplates the indirect economic effects that take place through cloud-complementary technologies such as Big Data and Machine Learning.

The purpose of this study is to investigate the adoption of cloud computing as a digital technology by small and medium enterprises (SMEs) and assess its impact on sustainability of such enterprises.

A model was developed that featured factors influencing SMEs sustainability. Primary quantitative data was gathered using a survey as an instrument. Total set of n = 387 responses were gathered using a convenience sampling method.

Findings reveal that cost reduction, ease of use, reliability and sharing and collaboration factors have significant statistical impacts on SMEs sustainability, whereas privacy and security factor has no significant statistical on SMEs sustainability.

The study poses significant implications on managers and SME development authority to create an inductive environment for technological support for SMEs’ sustainability.

The study enhances SMEs’ performance and sustainability by upgrading their existing information and communications technology as a digital infrastructure and benefiting from novel IT-based cloud revolution. Several studies have provided an understanding of the use of cloud computing services in SMEs but lack enough information about the challenges and impact on SMEs sustainability.

In the age of a knowledge-based economy and following extensive socio-economic changes, the success of organizations is not limited to gaining financial and material resources. Instead, it depends on the acquisition of intangible assets that can be used to achieve a sustainable competitive advantage. In the new strategic environment, organizations will thrive when they see themselves as a learning organization whose goal is to improve intellectual capital continually; an organization that cannot increase its intellectual capital cannot survive. The term intellectual capital is used in the overlap of all assets, intangible resources and non-physical resources of an organization, including processes, innovation capacity and implicit and explicit knowledge of its members and partner network. However, despite the growing importance of intellectual capital and cloud computing as vital resources for organizations' competitive advantage, there is a limited understanding of them. Simultaneously, the management of intellectual capital enables organizational managers to create, nurture, control and preserves a strong competitive advantage source, the advantage that competitors will not easily capture. So, the main objective of the present investigation is to check out the factors affecting the adoption of intellectual capital management systems based on cloud computing in hospitals.

In the last two decades, we have moved toward economics, where investment in Information Technology (IT), human resources, development, research and advertising is essential to maintain competitive advantage and certify the sustainability of organizations. Therefore, it can be stated that the economic value is the creation and management of intangible assets, which are referred to as intellectual capital. On the other hand, cloud computing is presented as a new paradigm for hosting and providing services through the Internet. Cloud computing can lead to too many benefits to organizations, including cost reduction, flexibility and improved performance. The present article examines how optimal intellectual capital management can be achieved using cloud computing. So, seven hypotheses were developed through the dimensions of technology, environment, organization and innovation. In this study, the path analysis was performed using Analytic Hierarchy Process (AHP) and Partial Least Squares (PLS). By reviewing the literature related to the model of technology, organization, environment and innovation dissemination theory, four main criteria, and 15 sub-criteria were identified based on the opinions of specialists, professors and IT experts based on AHP and PLS methods.

The results of this investigation confirmed all the hypotheses. The results illustrated that environmental and technological factors should be regarded more when adopting intellectual capital management systems based on cloud computing. The results also indicated that intellectual capital highly influences improving performance. Furthermore, cloud apps, like other disruptive technology, deliver superior benefits while still presenting a slew of realistic challenges that must be tackled. In order to draw a growing customer base to this business model, software vendors should resolve these concerns. The literature revealed that the computing industry is making tremendous strides around the world. Nevertheless, in order to achieve a faster and softer adoption, newer and more advanced techniques are still required.

The research outcomes can significantly impact a wide range of organizations, such as health-related organizations. However, there are some limitations; for example, the sample is limited to one country. Therefore, future studies can measure the data of this study in different samples in different countries. Future researchers can also boost the model's predictive capability to adopt cloud computing in other organizations by adding environmental, organizational, innovation and other technical factors.

Managers will use these emerging innovations to minimize costs and maximize profits in the intellectual capital management competition. An effective cloud computing based on an electronic human resource management system can significantly increase system performance in industries. The investigators expect that the results will direct clinicians and scholars into a more advanced and developed age of cloud-based apps.

Investigations on the impact of cloud computing on intellectual capital management are rare. Accordingly, this investigation provided a new experience in terms of intellectual capital in the field of cloud computing. This study filled the scientific research gap to understand the factors affecting intellectual capital management systems based on cloud computing. This study provides a better insight into the power of organizational and environmental structure to adopt this technology in hospitals.

It is an unfortunate truth that hotel industries are sometimes behind the curve when it comes to adopting the latest technology. In the competitive environment of the hotel industry, a sophisticated portfolio of information systems applications and high-quality information technology infrastructure play a key role in hotel performance in the world. The purpose of this research was to explore the impact of Diffusion of Innovation Theory and Technological, Organizational, and Environmental factors and business benefits of cloud computing adoption on the hotel sectors’ competitive capabilities. Previous studies in Asian countries have shown that adoption of cloud computing is significantly beneficial in hotel businesses. Having that this research study sough to explain the impact of cloud computing adoption using security concerns, top management support, cost saving, and competitive pressure relative advantages. The study was conducted among randomly selected 30 star graded hotels in Sri Lanka. Self-administered questionnaires were distributed among managerial and ICT professionals who were capable of making ICT decisions. The results of the data analysis revealed that cloud computing adoption level is still low among star hotels in Sri Lanka and Security Concerns, Top Management Support, Cost Saving, Competitive Pressure, and Relative Advantages are having significant impact on cloud computing adoption in the hotel sector in Sri Lanka.

The purpose of this paper is to analyze the effects of two technologies, cloud computing and Web 2.0, on a firm’s operational performance, examining the relationship between these two technologies and operational performance, and the mediating role played by supply chain integration.

A random sample of 394 companies taken from the DUNS 50,000 database in Spain is used to test the paper’s hypotheses. The data were gathered by telephone survey using the CATI computerized system to manage interviewees’ answers, obtaining a 19.36 percent response rate. Factorial analyses and structural equation modeling were used to test the hypotheses.

The results suggest that cloud computing requires the mediating support of supply chain integration. However, there is no concluding evidence that Web 2.0 has a positive effect on either supply chain integration or operational performance. A positive, significant relationship was found between supply chain integration and operational performance in all the models used.

Further research and longitudinal analyses should be carried out in a range of industrial and geographical settings to confirm the findings of this study. Further analyses could also extend the scope and generalizability of results by analyzing the assimilation of supply chain integration-related inter-organizational information systems, such as the effect of ERP systems on performance. Another future direction for research is a study of the impact of the joint assimilation of internal and external integration practices on operational performance.

Managers should be aware of the key role that trust plays in the information-sharing process in conjunction with supply chain management. Trust and information-sharing are two inextricably linked elements that enable greater supply chain integration to translate into better operational performance. This paper can also make managers more aware of the powerful tools that exist in the cloud computing universe and those that come under the umbrella of Web 2.0. Companies can use the findings of this paper to create new applications to facilitate supply chain integration. Some examples are also given of how cloud applications can be applied to better integrate the supply chain and, ultimately, to improve overall operational performance.

This is one of the first attempts to disentangle the effects exerted by cloud computing on company performance through the mediating role of a higher supply chain integration. The value of this study relies in that academics and practitioners may have a supporting evidence on the role played by a new, disruptive technology such us cloud computing in, internal, operationally linked structures such as supply chain integration and how this combination transforms into better operational outcomes.

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.

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.

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.

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.

Cloud computing is one of the technologies that improves performance and reduces costs in companies through flexible and easy access to computational resources. Supply chain management is one of the widespread and unlimited computing resources. Applying cloud computing to the green supply chain will eliminate constraints and speed up the implementation of various chain processes. Therefore, this paper aims to present a model and framework for assessing the impact of cloud computing on green supply chain management, which improves the performance of the resulting system in comparison with previous systems.

In this study, a self-made questionnaire containing 38 questions was used to collect data. The questions were compiled based on the variables identified in previous studies. Besides, the answers to the questions were based on the five-point Likert scale (strongly disagree, disagree, no opinion, agree and strongly agree). By reviewing the subject literature, the factors that affect the green supply chain management have been identified, which include cost of services, user-friendly software, energy consumption, subscription and collaboration capabilities and self-service ability.

The findings confirmed the fitness of the proposed model and showed the impact of cloud computing on green supply chain management. In addition, results showed that considered variables (service cost, user-friendly applications, energy consumption, sharing and collaboration and self-service) significantly affect the success management of green supply chain.

The results of this research show that, to help effective management of the complexity of the supply chain, many companies have adopted an advanced IT strategy to increase the flow of information and, in turn, to increase their competitive advantage.

The development of a cloud computing-based green supply chain management system can lead to improved system performance compared to traditional systems, which can revolutionize a wide range of industries and businesses by clarification of businesses and making the processes smart. It can also reduce costs and improve performance of micro- and macro-business firms. Therefore, the purpose of this study is to provide a model for investigating the impact of cloud-based IT systems on green supply chain management.

The purpose of this paper is to investigate the government roles in cloud computing assimilation along two dimensions: government regulation and government support.

A research model was developed to depict the dual roles of government regulation and government support in cloud computing assimilation as well as the mediating effect of top management support (TMS). Using survey data collected from 376 Chinese firms that have already adopted cloud services, the authors tested the research model.

The impacts of both government regulation and government support on cloud computing assimilation are partially mediated by TMS. Government support exerts stronger impacts on TMS than government regulation.

This study extends the current information systems literature by highlighting the specific mechanisms through which governments influence firms’ assimilation of cloud computing.

Governments in developing countries could actively allocate funds or enact policies to effectively encourage cloud computing assimilation.

This study would complement previous findings about government regulation, and develop a more holistic understanding about the dual roles of governments in information technology innovation assimilation.

The purpose of this study was to map the quantity (frequency), quality (impact) and structural indicators (correlations) of research produced on cloud computing in 48 countries and 3 territories in the Asia continent.

To achieve the objectives of the study and scientifically map the indicators, data were extracted from the Scopus database. The extracted bibliographic data was first cleaned properly using Endnote and then analyzed using Biblioshiny and VosViewer application software. In the software, calculations include citations count; h, g and m indexes; Bradford's and Lotka's laws; and other scientific mappings.

Results of the study indicate that China remained the most productive, impactful and collaborative country in Asia. All the top 20 impactful authors were also from China. The other most researched areas associated with cloud computing were revealed to be mobile cloud computing and data security in clouds. The most prominent journal currently publishing research studies on cloud computing was “Advances in Intelligent Systems and Computing.”

The study is the first of its kind which identified the quantity (frequencies), quality (impact) and structural indicators (correlations) of Asian (48 countries and 3 territories) research productivity on cloud computing. The results are of great importance for researchers and countries interested in further exploring, publishing and increasing cross country collaborations related to the phenomenon of cloud computing.