Cloud Enterprise Resource Planning Systems Research Articles

Investigating the determinants of continuance intention on cloud ERP systems adoption

With the rapid developments in cloud technology, the cloud Enterprise Resource Planning (ERP) system is indispensable when investigating the adoption and implementation of manufacturing systems among industries. The cloud ERP system can support manufacturing systems through various cloud services. The study was based on the well-known Information Systems Success Model (ISSM) to explore the predictive power of these theory-based variables. Our research provides an integrated managerial model to predict the continuance intention of adopting the cloud ERP system to enable effective manufacturing. The paper employed Structural Equation Model (SEM) to verify and confirm the hypotheses from an online survey in Taiwan. The empirical results have confirmed that (1) self-efficacy and convenience positively predict perceived ease of use; (2) information quality, system quality, service quality, perceived price, and perceived ease of use positively predict satisfaction; perceived security has no significant effect on satisfaction; (3) perceived ease of use, perceived security and satisfaction positively predict continuance intention. This study’s analysis results thus provide a suitable integrated framework to predict continuance intention. Finally, our research provides practical and managerial recommendations for manufacturing industries of adopting the cloud ERP system.

Influential Characteristics and Benefits of Cloud ERP Adoption in New Zealand SMEs: A Vendors’ Perspective

Cloud enterprise resource planning (ERP) systems are hosted services offering opportunities for small and medium-sized enterprises (SMEs) that often lack IT resources. Few studies have examined the adoption of cloud ERP systems in SMEs, specifically, from the perspective of cloud ERP vendors who are the domain experts. Drawing on vendors’ perspectives in the New Zealand (NZ) context, this paper evaluates the influential characteristics for adopting cloud ERP systems in SMEs. The paper uses an integrative model combining the technological, organizational, and environmental (TOE) framework with the unified theory of acceptance and use of technology (UTAUT) based on individual dimension for a holistic evaluation. Findings reveal novel characteristics including system reliability and data security that influence adoption of cloud ERP. Further, benefits are identified such as reduced cost and time for deployment, increased scalability, and improved accessibility. The paper presents new insights that can help SME managers successfully adopt cloud ERP in their firms in addition to providing practical guidelines for adoption in NZ. The development of a theoretical model integrating TOE and UTAUT is a novel approach, substantially contributing to the body of knowledge.

Cloud ERP systems architectural challenges on cloud adoption in large international organizations: A sociomaterial perspective

This combined literature review and case employs a sociomaterial perspective to explore architectural challenges and countermeasures that BioOrganism, the case company, should consider in a decision to adopt a cloud enterprise resource planning (ERP) system. The case has experiences with an on-premises model, but not the cloud model per se. The study is designed with an element of case to provide a solid backdrop toward the sociomaterial perspective, which focuses on a reciprocal enactment between the cloud ERP systems architecture and the BioOrganism contextual surrounding. Six architecture challenges were identified: (1) data security, (2) data privacy, (3) network dependency, (4) system mobility, (5) vendor lock-in, and (6) scalability. Countermeasures that BioOrganism, and other large international organizations of similar nature, can take to mitigate risks from the six challenges are presented in the review.

Critical success factors of cloud enterprise resource planning systems and financial performance: Evidence from emerging markets

Cloud ERP (C-ERP) systems help firms to reach greater levels of sustainable performance (Gupta, Qian, Bhushan, & Luo, 2019). Ali (2016) demonstrate that the enterprise resource planning (ERP) system implementation influences financial performance indicators. Huang, Rahim, Foster, and Anwar (2021) had investigated and identified the critical success factors (CSFs) which may affect the successful implementation of C-ERP systems. However, no empirical evidence was found on the relationship between C-ERP critical success factors and financial performance. This study examined the effect of key CSFs of the C-ERP systems on financial performance in the post-implementation stage. An online questionnaire was developed to collect data about CSFs in C-ERP firms. The financial ratios were collected from the Amman Stock Exchange (ASE) filings. OLS analysis suggests that financial performance is affected by technological competence, management support, organizational culture, and system characteristics. The study provides empirical evidence on the cause-effect relationship which emphasizes the difference made in long-term financial success by the various managerial techniques. The results provide practical implications to management and service providers that help in installing and maintaining C-ERP systems.

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.

Examining the Factors Influencing the Intention to Adopt Cloud ERP Systems by SMEs in Jordan

This study aims to explore the factors influencing the intention to adopt cloud enterprise resource planning (ERP) systems by small and medium-sized enterprises (SMEs) in Jordan. The research proposes a new model by extending the technology acceptance model (TAM) with four additional factors, including computer self-efficacy, complexity, compatibility, and organizational support. Using a questionnaire, data was collected from 394 subjects. An adaptive neuro fuzzy inference system (ANFIS) was utilized to analyze the data. The results revealed that perceived usefulness and perceived ease-of-use of cloud ERP systems have a low-direct effect on the intention to adopt cloud ERP systems. Also, the study found that computer self-efficacy, complexity, compatibility, and organizational support have a low-direct effect on perceived usefulness and perceived ease-of-use of cloud ERP systems and, in turn, on the intention to adopt cloud ERP systems.

Factors Affecting the Cloud ERP: A Case Study of Learning Resources Department at Jordanian Education Ministry

Enterprise resource planning (ERP) systems have been used by organizations for years, whereas, Cloud ERP systems gained audience a few years ago both from practitioners and academicians. As such, there is a migration from the traditional ERP to the Cloud ERP system, and employees in most organizations are accustomed to the traditional ERP system. In order to improve the efficiency and effectiveness of the Cloud ERP system used in the operation stage. Organizations need to research the factors that have an impact on users’ satisfaction and managerial decision making. There is a great deal of prior studies that measured users' adoption of ERP systems using a technological acceptance model (TAM). Thus, this study also utilized the TAM model in examining the factors that influence users’ adoption of Cloud ERP systems. To get the maximum value of the validity and reliability of the findings, the study was conducted in two folds which are pre-implementation and post-implementation. In addition, structural equation modelling was employed to reach the findings. Finally, the study identified the technology factor, employee factor, perceived usefulness and perceived ease of use as important variables for affecting Cloud ERP adoption; and as important antecedents influencing managerial decision making. This study comes to be the first study to employ the TAM model in the Cloud ERP area in two waves: pre-post implementation phases. Interestingly, the relationships between the variables in pre and post-implementation do not differ significantly.

Institutional change of cloud ERP implementation in the public sector

Purpose This study aims to explain the transformation process from using regular enterprise resource planning (ERP) system into implementing Cloud ERP system in the UAE public sector. Design/methodology/approach The study uses a qualitative case study and analyzes the primary evidences from in-depth interviews with the case organization’s personnel. It conducts a thematic analysis of the interviews’ findings. Furthermore, the study uses secondary and tertiary resources from published sources comprising the case organization’s website and previous studies. Findings The findings demonstrated that the transformation process to Cloud ERP could result in different practical benefits in an organization’s controlling system, cost reduction and profitability. Conversely, results revealed that the effectiveness of implementing cloud ERP is dependable on the provider’s professionalism; hence resulting in issues related to minimized organizational independence. In addition, the paper’s findings provide evidenced clarifications about the controversial misconceptions of Cloud ERP’s privacy issues. Research limitations/implications The paper is exposed to the regular case studies limitations, as the study is a qualitative research studying one case company. Thus, the study findings should be strengthened by future quantitative researches on more companies with implying more statistical analysis. Practical implications The paper has important implications for practitioners and decision-makers, as it presents significant and reality-based information about Cloud ERP implementation’s benefits and drawbacks. It thus enhances decision-makers’ ability to make an appropriate and suitable decision about adopting the Cloud ERP in the public sector. Originality/value As Cloud ERP is still emerging, this study is one of the very few case studies that discuss and present some experienced benefits and issues related to Cloud ERP implementation in UAE Government. This study also uses transformation theory to analyze the data.

What drives organizations to switch to cloud ERP systems? The impacts of enablers and inhibitors

PurposeSwitching to public cloud enterprise resource planning (ERP) systems not only provides financial and functional benefits to organizations, but also results in sunk costs of incumbent systems and uncertainty costs of cloud systems. The purpose of this study is to investigate the enablers and inhibitors concerning switching to cloud ERP systems at the organizational level.Design/methodology/approachData were collected from 212 top managers and owners of the enterprises in Taiwan, and 10 hypotheses were examined using structural equation modeling.FindingsTechnological (system quality), organizational (financial advantage), and environmental contexts (industry pressure) are found to be the antecedents of switching benefits. Perceived risk of cloud ERP systems and satisfaction with and breadth of use of incumbent ERP systems are found to be the predictors of switching costs. Switching benefits positively affect switching intention, but switching costs negatively affect switching intention.Research limitations/implicationsThis study develops a theoretical model grounded in a set of theoretical foundations, including two-factor theory, technology-organization-environment (TOE) framework, information systems (IS) success model, and expectation confirmation theory (ECT). Two-factor theory is used to characterize switching benefits and costs that affect switching intention. Technological factors come from IS success model, and the factors affecting benefits are organized based on TOE framework. Sunk costs of incumbent ERP systems are developed based on ECT.Originality/valueDifferent from previous studies on cloud computing adoption, this study provides insights into switching intention to cloud computing. The study also proposes an integrated model grounded in multiple perspectives to explain organizations' decisions to switch to cloud ERP systems. These findings help cloud service providers better understand how to promote cloud ERP adoption from technical, organizational, and environmental perspectives.

Web Services as A Solution for Cloud Enterprise Resource Planning Interoperability

Recently, organizations have shown more interest in cloud computing because of the many advantages they provide (cost savings, storage capacity, scalability, and speed of loading). Enterprise resource planning (ERP) systems are one of the most important systems that have been upgraded to cloud computing. In this thesis, we focus on cloud ERP interoperability, which is an important challenge in cloud ERP. Interoperability is the ability of different components to work in independent clouds with no or minimum user effort. More than 20% of the risk rate of cloud adoption is caused by interoperability. Thus, we propose web services as a solution for cloud ERP interoperability. The proposed solution increases interoperability between different cloud service providers and between cloud ERP systems with other applications in a company.

Exploring the Data Processing Practices of Cloud ERP - A Case Study

Although cloud Enterprise Resource Planning (ERP) systems are becoming popular, there are still firms that are yet to migrate to the cloud because of data confidentiality and data security concerns. Firms that plan to adopt cloud ERP systems are expected to first understand cloud ERP's data processing practices. This study proposes a case study method with a systematic content analysis of cloud ERP providers' data processing agreements. The study will explore the data disclosure, data security, data sub-processing, and data retention and deletion practices of cloud ERP providers. In addition, this study investigates the linguistic characteristics of cloud ERP providers' data processing agreements, including readability, litigious language, and uncertainty language. The findings of this study can help organizations to have a better understanding of the data process practices of cloud ERP providers, as well as the shared responsibilities between cloud ERP providers and users in maintaining data security.

Exploring the Data Processing Practices of Cloud ERP—A Case Study

ABSTRACTAlthough cloud enterprise resource planning (ERP) systems are becoming popular, there are still firms that have yet to migrate to the cloud because of data confidentiality and data security concerns. Firms that plan to adopt cloud ERP systems are expected to first understand cloud ERP's data processing practices. This study proposes a case study method with a systematic content analysis of cloud ERP providers' data processing agreements. The study will explore the data disclosure, data security, data sub-processing, and data retention and deletion practices of cloud ERP providers. In addition, this study investigates the linguistic characteristics of cloud ERP providers' data processing agreements including readability, litigious language, and uncertainty language. The findings of this study can help organizations to have a better understanding of the data process practices of cloud ERP providers, as well as the shared responsibilities between cloud ERP providers and users in maintaining data security.

New Approach for Optimal Semantic-Based Context-Aware Cloud Service Composition for ERP

Nowadays, the cloud technology has been widely accepted by enterprises. It leverages provides high-level management of expensive IT resources and several advanced techniques for developing quality IT solutions. Small and medium enterprises (SMEs) are looking for best the preeminent customized cloud enterprise resource planning (ERP) to automate wisely their business activities. Therefore, the increasing need of flexible ERP business process from heterogeneous cloud services which carried out on cost and time benefits becomes a major concern. This is very helpful to answer the required evolutions of different functional and non-functional SMEs needs (i.e., quality context-aware constraints and preferences). The existing cloud ERP systems (SAP, Oracle, etc.) as SaaS models are not flexible enough to support the ERP business process auto-adaptation. This paper aims to provide a relevant ERP business process as a composite service-targeted customer needs and context changes using semantic-based context-aware selection and optimal cloud service composition. To this end, we have proposed CxQSCloudSERP-based system ontology. It is a novel ontology for semantic describing and driving the end-to-end ERP building process. By providing the functional needs, the system generates automatically an optimal virtual ERP business process. A two-stage algorithm for context-aware services composition is proposed to obtain optimal-customized concrete ERP business process. The first stage is used to select relevant composite services that respect customer’s constraints. The second one is used to select a single optimal solution from the outcome of the first stage according to the customer’s preferences. To illustrate our approach, we have presented a prototype which gives a great flexibility to respect the enterprise’s global quality priorities. The experimental results show the efficiency and the enhanced accuracy of the proposed approach.

Do Cloud ERP Systems Retire? An ERP Lifecycle Perspective

With the rapid development of technology and the increasing transition of on-premise enterprise resource planning (ERP) systems to cloud-based ERP systems, the traditional ERP lifecycle needs to be reviewed. Cloud-based ERP systems are based on a different infrastructure than traditional on-premise systems. This research investigates how cloud ERP systems may potentially affect the ERP lifecycle, especially the ERP retirement phase. ERP retirement is the stage when the existing ERP needs to be replaced with another ERP system. This will be investigated through an in-depth case study at a cloud-based vendor in Norway, and via using the ERP lifecycle provided by Esteves & Pastor. Our results suggest that cloud-ERP systems may have longer ERP lifecycle timeframes than their on-premise counterparts in general, and a shorter ERP retirement phase in specific.

Factors affecting cloud ERP adoption in Saudi Arabia: An empirical study

Cloud ERP (Enterprise Resource Planning) systems have represented a paradigm shift in the information systems domain. They can provide flexibility, cost efficiency, scalability, adaptability, availability and configurable data to any type of company. This system has enjoyed rapid growth around the world. However, the adoption of cloud ERP in developing Middle Eastern countries such as Saudi Arabia is still in its infancy, and little research has been done to investigate this issue. This study examined the factors that influence the adoption of cloud ERP in the Kingdom of Saudi Arabia by combining the Diffusion of Innovation theory (DOI) and Technology-Organization-Environment (TOE) framework. The study found that a competitive environment, complexity, ICT infrastructure, observability, relative advantage, regulatory environment, ICT skill and top management support had a significant influence (p < 0.05) on the adoption of cloud ERP, while compatibility, organizational culture and trialability had no signi...

An Empirical Study of Technological Factors Affecting Cloud Enterprise Resource Planning Systems Adoption

The adoption of cloud enterprise resource planning (CERP) systems deserves serious attention from both the practitioner and academic communities. This study empirically investigated the relationships for organizations that adopted CERP systems and for average organizations which are interested in CERP system adoption based on three technological and one benefit factors: The study identified the relevant technological factors as relative advantage, compatibility and security concern over the system adoption. This study indicated that the three technological and one perceived benefit factors are significant predictors of CERP systems adoption. The findings of the study provide evidence that organizations with CERP systems have a higher level of the three technological factors and perceived benefits than the mean of each relevant factor for all organizations that are merely interested in adopting the systems. The study discusses practical and theoretical implications of the results, and provides a guide for CERP systems adoption and a basis for further research.

Exploring the Challenge Impacted SMEs to Adopt Cloud ERP

Objective: Cloud Enterprise Resource Planning (ERP) systems provide generic benefits to Small and Medium Enterprises (SMEs). However, SMEs motivation to adopt this system is low. Our study aimed to explore the challenges faced by SMEs to adopt the system. Methods/Statistical Analysis: To achieve this objective, exploratory research approach was used with semi-structure interview with SMEs was executed. Semi-structure interview was conducted by means of face to face approach. Interview methods used to extract understanding, opinions and challenge faced SMEs on their way to adopt cloud ERP system. Five (5) SMEs are involved in this study along with one ERP and cloud computing expert in Southern Malaysia. Findings: Current study employs conventional content analysis to determine the themes from exploratory approach; the study found eight (8) emerged themes that are reluctance to adopt cloud ERP among SMEs, this is attributed by knowledge, data security, vendor trust, technology trust, system availability and cloud ERP system functional fit. Also study investigate that SMEs needs extra support from government agency and external environment. Applications/Improvements: This exploratory study contributes to the lack of literature on cloud ERP adoption and provides insight for future study by researchers and practitioners.

Benefits and challenges of cloud ERP systems – A systematic literature review

Enterprise Resource Planning (ERP) systems provide extensive benefits and facilities to the whole enterprise. ERP systems help the enterprise to share and transfer data and information across all functions units inside and outside the enterprise. Sharing data and information between enterprise departments helps in many aspects and aims to achieve different objectives. Cloud computing is a computing model which takes place over the internet and provides scalability, reliability, availability and low cost of computer reassures. Implementing and running ERP systems over the cloud offers great advantages and benefits, in spite of its many difficulties and challenges. In this paper, we follow the Systematic Literature Review (SLR) research method to explore the benefits and challenges of implementing ERP systems over a cloud environment.