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

2017 ◽  
Vol 30 (2) ◽  
pp. 1-22 ◽  
Author(s):  
Njenga Kinuthia ◽  
Sock Chung
Keyword(s):  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Relative Advantage ◽  
Factors Affecting ◽  
Technological Factors ◽  
Academic Communities ◽  
Perceived Benefit ◽  
Enterprise Resource Planning Systems ◽  
The Mean ◽  
Security Concern

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.

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

2020 ◽  
pp. 2006-2029
Author(s):  
Njenga Kinuthia ◽  
Sock Chung
Keyword(s):  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Relative Advantage ◽  
Factors Affecting ◽  
Technological Factors ◽  
Academic Communities ◽  
Perceived Benefit ◽  
Enterprise Resource Planning Systems ◽  
The Mean ◽  
Security Concern

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.

Assessing Organizational Readiness for Implementing ERP System Using Fuzzy Expert System Approach

2018 ◽  
pp. 1875-1894
Author(s):  
Amir Beirami Hajilari ◽  
Mahsa Ghadaksaz ◽  
Gholamreza Soltani Fasghandis
Keyword(s):  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Fuzzy Expert System ◽  
Planning Systems ◽  
Erp Implementation ◽  
Factors Affecting ◽  
Erp System ◽  
Enterprise Resource Planning Systems ◽  
Fuzzy Expert Systems ◽  
The Status

Efficient use of enterprise resource planning systems is the only way to achieve competitive advantage in many industries. However, many reports indicate high failure rate of ERP implementation projects and the lack of access to benefits and advantages that enterprises have expected from ERP deployment. Managers are concerned about being ready to deploy such a system. Despite its enormous cost, implementing enterprise resource planning systems fail in practice. Accordingly, this study aims at providing a model for assessing the readiness of organizations for the implementation of ERP by using fuzzy expert systems. The model is composed of six fuzzy expert systems which are designed at two levels. The first five levels are the factors affecting the readiness of a system to produce the scores for an output. These outputs have been used as input to the final system for assessing the organization's readiness to implement the ERP system. In the design of each fuzzy expert system, fuzzy triangular membership functions were applied that had been selected for increasing the efficiency and ease of use. The Results of the model and its use in Shahid Ghazi Pharmaceutical Company show the status of readiness of the proposed model for ERP implementation. Moreover, the model shows the status of the organizations with regard to each of the factors affecting the implementation of the ERP system.

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

2017 ◽  
Vol 15 ◽  
pp. 370-380 ◽  
Author(s):  
Tariq Bhatti
Keyword(s):  
Diffusion Of Innovation ◽  
Enterprise Resource Planning ◽  
Service Providers ◽  
Resource Planning ◽  
Relative Advantage ◽  
Management Support ◽  
Erp Systems ◽  
Factors Affecting ◽  
Organizational Contexts ◽  
Erp System

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.

Assessing Organizational Readiness for Implementing ERP System Using Fuzzy Expert System Approach

2017 ◽  
Vol 13 (1) ◽  
pp. 67-85 ◽  
Author(s):  
Amir Beirami Hajilari ◽  
Mahsa Ghadaksaz ◽  
Gholamreza Soltani Fasghandis
Keyword(s):  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Fuzzy Expert System ◽  
Planning Systems ◽  
Erp Implementation ◽  
Factors Affecting ◽  
Erp System ◽  
Enterprise Resource Planning Systems ◽  
Fuzzy Expert Systems ◽  
The Status

Efficient use of enterprise resource planning systems is the only way to achieve competitive advantage in many industries. However, many reports indicate high failure rate of ERP implementation projects and the lack of access to benefits and advantages that enterprises have expected from ERP deployment. Managers are concerned about being ready to deploy such a system. Despite its enormous cost, implementing enterprise resource planning systems fail in practice. Accordingly, this study aims at providing a model for assessing the readiness of organizations for the implementation of ERP by using fuzzy expert systems. The model is composed of six fuzzy expert systems which are designed at two levels. The first five levels are the factors affecting the readiness of a system to produce the scores for an output. These outputs have been used as input to the final system for assessing the organization's readiness to implement the ERP system. In the design of each fuzzy expert system, fuzzy triangular membership functions were applied that had been selected for increasing the efficiency and ease of use. The Results of the model and its use in Shahid Ghazi Pharmaceutical Company show the status of readiness of the proposed model for ERP implementation. Moreover, the model shows the status of the organizations with regard to each of the factors affecting the implementation of the ERP system.

scholarly journals Factors Affecting Users’ Acceptance on Enterprise Resource Planning Systems in Yemen Organizations

2019 ◽  
Vol 1 (2) ◽  
pp. 57
Author(s):  
A. S. AlSanabani ◽  
M. A. Al-Awlaqi
Keyword(s):  
Human Factors ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Intention To Use ◽  
Planning Systems ◽  
Factors Affecting ◽  
Erp System ◽  
Enterprise Resource Planning Systems ◽  
Dependent Variables

This study aims to unravel the factors that might have the potential to facilitate or hinder the Enterprise Resource Planning (ERP )system in the Yemen Organizations. Methods were done by interviewing 197 respondents from some Yemen organizations. The results of this study found significant positive correlationsbetween the intention to use and easiness of the ERP system. Several dependent variables were also obtained. Moreover, thecurrent study obtained the importance of human factors in thecontext of ERP.

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

2020 ◽  
Vol 12 (16) ◽  
pp. 6426
Author(s):  
Byungchan Ahn ◽  
Hyunchul Ahn
Keyword(s):  
Diffusion Of Innovation ◽  
Enterprise Resource Planning ◽  
Significant Influence ◽  
Resource Planning ◽  
Information And Communications Technology ◽  
Relative Advantage ◽  
Factors Affecting ◽  
Intention To Adopt ◽  
Business Operations ◽  
Lock In

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.

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