Cloud-based Enterprise Resource Planning System Research Articles

The Impact of Cloud-Based Enterprise Resource Planning System on Blockchain Adoption, with the Presence of Cloud Auditing as an Intermediary Variable in Jordanian Commercial Banks

The study aimed to determine the impact of a cloud-based Enterprise Resource Planning (ERP) system on the adoption of blockchain technology, with the presence of cloud auditing as an intermediary variable, in Jordanian commercial banks. The study utilized a descriptive-analytical approach to describe and analyze the phenomenon under investigation, which revolves around cloud-based ERP systems and their influence on blockchain technology adoption, along with the mediating role of cloud auditing. The study's population consisted of Jordanian commercial banks listed on the Amman Stock Exchange, with a total of 12 banks by the end of the year 2022. The study utilized the Statistical Package for Social Sciences (SPSS) and Amos software to analyze the study's questionnaire. The study yielded several key findings, one of which is the presence of an impact of cloud-based Enterprise Resource Planning (ERP) systems on the adoption of blockchain technology, mediated by cloud auditing, in Jordanian commercial banks. As for the study's recommendations, they emphasize the necessity for Jordanian commercial banks to provide appropriate training and awareness programs for their auditing teams regarding cloud auditing. This initiative aims to enhance their understanding of cloud technologies, associated tools, and cloud auditing skills. Furthermore, it's important for these banks to fulfill all requirements and procedures ensuring compliance with laws and regulations related to financial technology and blockchain.

Investigating the factors affecting the intention to adopt cloud-based ERP systems during the COVID-19 era: evidence from Jordan

PurposeGenerally, the use of cloud-based services has proliferated all around the world. This tendency increased dramatically during the coronavirus disease 2019 (COVID-19) pandemic when many people were obliged to conduct business remotely. This research study aims to investigate the intentions to adopt (IA) cloud-based enterprise resource planning (ERP) systems in Jordan, as this sort of research is scarce in developing countries. Specifically, this research study combined the model of Diffusion of Innovation (DOI) and the Technology-Organization-Environment (TOE) framework, in addition to looking at COVID-19 as a moderating variable.Design/methodology/approachData were collected from 60 participants working in Jordanian companies that currently use, or have the intention to use, cloud-based ERP systems. An online questionnaire was developed and used to collect responses. The study hypotheses were examined statistically using simple regression analysis and hierarchical multiple regression.FindingsThe study results clearly indicate that complexity, observability, employee information technology (IT) skills, organizational culture (OC) and top management support significantly affect the intention to adopt cloud-based ERP systems. In contrast, relative advantage (RA), compatibility, trialability, regulatory environment and competitive pressure had no significant effect on adoption intention. Interestingly, the advent of COVID-19 increased the intention to adopt cloud-based ERP systems.Research limitations/implicationsThe study's findings will provide theoretical and practical suggestions for the effective adoption of cloud ERP in Jordan, as well as aiding other developing nations in comparable situations in implementing cloud-based ERP systems.Originality/valueThe study enriches the knowledge and further examines the underlying reasons for adopting cloud-based ERP systems in a developing country.

Cloud-based ERP construction process framework in the customer’s perspective

Process frameworks for the implementation of cloud enterprise resource planning (ERP) were derived and each process was examined through detailed comparisons with on-premise ERP construction processes, using process engineering characteristics. The process frameworks for implementing cloud ERP are classified into infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), content-as-a-service (CaaS), and software-as-a-service (SaaS), depending on the construction type, and are defined based on 6 derived processes, 21 activities, and numerous specific tasks. The process engineering characteristics of the final proposed process framework were further analyzed and examined in comparison to on-premise ERP construction processes with respect to differences and similarities. This study provides a theoretical foundation of standardized research on cloud ERP construction methods. As a practical guideline for stakeholders, it can be used in practice as a process tailoring tool, providing information on specific activities and tasks for each construction phase, contributing to the construction and spread of reliable cloud-based ERP systems from the customer?s perspective.

Affecting Factors for the Adoption of Cloud-Based ERP System in Iraqi SMEs: An Empirical Study

Cloud-based enterprise resource planning (ERP) and cloud computing are critical requirements for all SMEs since they can be used to facilitate the SMEs’ growth by creating competitive and personalized innovations considering their required business scope. To date, the growth of cloud technologies has led to the development of new systems and applications in many fields and areas including businesses. Our previous study proposed an adoption model to investigate the main determinants and logistical factors that influence decision-makers of SMEs to adopt cloud-based ERP systems. The aim of this research is to enhance the previous work by evaluating and validating the new model in real life to determine whether it has achieved what it was developed for and determine the reliability of the research results. The methodology and results of the evaluation and validation process of the proposed model are presented in this research. Considering there is little documentation in the literature specifically relevant to how proposed models have been evaluated and validated, hence providing this insight will assist both the academic researchers and decision-makers. The evaluation and validation methodology and the model itself contribute toward a better understanding of adoption processes. Furthermore, the evaluation and validation procedure in future work can be used to measure, enhance and determine whether the proposed models can be used in real life.

Exploring the implications of cloud‐based enterprise resource planning systems for public sector management accountants

AbstractBased on a case study of a large Swedish local government municipality, we explored the extent to which a cloud‐based enterprise resource planning (CERP) system enabled the role performance of public sector management accountants. Our findings suggest that the CERP system enabled central management accountants to mobilize their specific expertise because it eliminated manual work, increased transparency, and made them feel more comfortable with the numbers. However, the less flexible features of a CERP system provided by external vendors, such as limited customization, posed a challenge for the local management accountants serving the different needs of a diverse range of managers and business units. Looking at the different attitudes that central and local management accountants developed toward the CERP system, we found that although both focal groups in our analysis belonged to the same occupation, they framed the role of technology differently. Although local management accountants framed it as a tool that should enable them to draw on their local expertise to produce tailor‐made information for their local units, central management accountants saw the CERP system as a tool that allowed them to consume prefabricated “high‐quality” information to assure efficient and risk‐free accounting processes throughout the entire organization. Given this, cloud technology constitutes a risk that accounting and control processes become unduly inflexible and cumbersome at the local level. Coping with an inflexible cloud‐based system may therefore add to the list of challenges that public sector management accountants experience when trying to be(come) business partners.

Re-examination and expanding the EUCS Model on Cloud-based ERP system

The end-user computing satisfaction model (EUCS) has been widely used in previous studies, and Enterprise Resource Planning. Therefore, Enterprise Resource Planning (ERP) System, need to be developed in accordance with cloud computing that dominate current information technology devices. This study was carried out to test the expansion of the EUCS model in a cloud-based ERP system. Therefore, the purpose of this research is to re-examine the validity and reliability of the computer application satisfaction model and its relationship with user performance in cloud-based ERP system. The overall satisfaction variable is added as a mediation between the satisfaction model and user performance. Data was collected through snowball sampling with a questionnaire distributed to the cloud-based ERP users. Additionally, data processing was conducted using the Second-order concept in structural equation modeling with the Partial Least Square approach. Since data processing using WarpPLS confirmed the validity and reliability of the model and all relationships between variables, this research contributes theoretically to the study of end-user satisfaction from information technology applications. Its final section describes the limitations and opportunities for future research.

A Review of Cloud-Based ERP Systems in SMEs

The adoption of Enterprise Resource Planning (ERP) system in small and medium enterprises (SMEs) could offer significant benefits in terms of managing the resources and support business function. However, the traditional ERP systems are quite expensive and have complex procedures for the adoption especially for SMEs. With the introduction of cloud-based ERP systems that have similar functionalities with traditional ERP, SMEs are now able to adopt this system. However, the adoption of cloud ERP remains low and question arise on how to encourage SMEs to adopt this system. Drawing from management and Information Systems literature, this study proposes and conceptual framework for cloud ERP adoption among SMEs. Using archival analysis approach and technology-push and demand-pull as the theoretical background, this research has come out with six main themes namely: firm qualities, internal pressure, external pressure, technology features, organizational readiness and external support. This paper will give significant benefits to ERP vendors to understand their potential buyer’s behaviour towards the adoption of cloud ERP.

Factors Affecting Intention to Adopt Cloud-Based ERP from a Comprehensive Approach

To enhance the sustainability of business operations, enterprises have interests in enterprise resource planning (ERP) transitions from an existing on-premise method to a cloud-based system. This study conducts a comprehensive analysis using the technology-organization-environment, diffusion of innovation, and the model of innovation resistance frameworks. The empirical analysis shows that the factors of organizational culture, regulatory environment, relative advantage, trialability, and vendor lock-in all had a significant influence on the intention to adopt cloud-based ERP, while information and communications technology skill, complexity, observability, data security, and customization had no significant influence on the intention to adopt cloud-based ERP. This study’s findings provide meaningful guidance for companies that want to adopt cloud-based ERP, governments that support enterprise digitalization, and vendors who sell cloud-based ERP systems.

Cloud-based ERP system selection based on extended probabilistic linguistic MULTIMOORA method and Choquet integral operator

Cloud-based enterprise resource planning (ERP) is a combination of standard ERP system and cloud flexibility. Adopting a suitable cloud-based ERP system is an uncertain multi-criteria decision-making problem. Probabilistic linguistic term sets (PLTSs) can be used to address the uncertainty in such problem. On the basis of PLTSs, we introduce an innovative two-step comparative method for the evaluation of cloud-based ERP systems. The extended multiple multi-objective optimisations by ratio analysis method within PLTSs are proposed to obtain the class of cloud-based ERP vendors. Two classes, namely, accepted and rejected, are obtained. Then, we select the suitable cloud-based ERP packages in the accepted class. We put forward the probabilistic linguistic Choquet integral operator to aggregate the ERP package evaluation matrices given the interrelationships between criteria. Subsequently, a new comparison method is introduced to obtain the final results. We conduct an illustrative example to prove the rationality of the presented method. The feasibility of this model is verified by comparative analysis and validity test.

Cloud ERP Systems for Small-and-Medium Enterprises

Organizations recognize the need to adopt Enterprise Resource Planning (ERP) in order to become more competitive, efficient, and productive, although the adoption and implementation of an ERP system is a costly and risky endeavor. Recently, cloud computing has become a viable and competitive means by which most organizations, especially Small and Medium-sized Enterprises (SMEs), can implement an ERP system in a short time frame and cost-effective way. The authors' research examines the feasibility of cloud-based ERP systems for SMEs through a case study. The case emphasizes the potential of cloud-based ERP systems for SMEs as well as some of the challenges and peculiarities involved in their efforts to obtain an affordable and versatile ERP system. Their findings can potentially guide SMEs to make well-informed decisions throughout their cloud-based ERP adoption process.

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.

Influences on adoption of cloud-based ERP systems in SMEs: The technological-organizational-environmental framework

This paper examines the factors affecting adoption of cloud-based enterprise resource planning (ERP) systems by UAE SMEs using one of the theories of Diffusion of Innovation (DOI). The technology-organization-environment (TOE) framework used in this study integrates factors in the technological, environmental and organizational contexts of organizations. Data were collected from a random sample of 105 SMEs from UAE. Descriptive and inferential techniques were used to analyze the data. The results identified relative advantage, top management support, technology readiness, competitive pressure and trading partner pressure as key determinants that influence the adoption of cloud-based ERP systems by SMEs. The findings can be useful to service providers and cloud computing providers to better understand what affects cloud-based ERP system adoption and to develop marketing strategies to improve their interaction with enterprises