Enterprise resource planning adoption and satisfaction determinants

A study of user switching intention for ERP systems based on push-pull-mooring model: Focusing on the important role of information quality for users

Enterprise resource planning (ERP) systems have become indispensable within companies due to their substantial functions and benefits. With a plethora of ERP systems available in the market, management is offered a broad array of options. This paper endeavours to identify the determinants influencing the switching intention of ERP users. Utilizing a conceptual model that adapts the push-pull-mooring paradigm, we seek to construct a formation mechanism of switching intention. Through structural equation modeling conducted on data collected from 236 users, our study uncovers several key findings. The study indicates that system quality, information quality, and top management support exert considerable influence on switching intention via satisfaction. Notably, we found that user satisfaction has a negative impact on switching intention. Our analysis also reveals that alternative attractiveness significantly determines switching intention. These findings provide valuable insights for organizations and ERP vendors to better understand user behaviour and to strategically manage user retention and switching decisions.

Understanding continuance intention of enterprise resource planning (ERP): TOE, TAM, and IS success model

This paper aims to identify the key factors influencing the intention to continue using enterprise resource planning (ERP) systems. Extending the Technology-Organization-Environment framework, the model integrates variables from both the Technology Acceptance Model and the Information Systems Success Model. We employed Partial Least Squares Structural Equation Modeling to analyze empirical data collected from 237 participants who use ERP systems in their workplaces. Our findings suggest that perceived usefulness has a positive impact on the intention to continue using ERP. Both system quality and information quality are pivotal in shaping perceived usefulness and perceived ease of use. Additionally, we found that top management support is a crucial determinant of continuance intention. The integrated model combines technological factors, organizational context, and environmental components to explain the ongoing use of ERP systems. This research enriches the existing literature on information systems, offering academics and managers deeper insights into the mechanisms driving continued ERP usage.

Selection of ERP system and the best practice by hybrid method: A case study of Thai automotive supply chain network

Enterprise Resource Planning (ERP) gives an organization a competitive edge by centralizing organization data and collaborating among supply chain networks. There are many types of software packages available, so most of the research proposed methods for prioritizing the best system. However, they did not suggest how to implement it, or which practices should be employed. So, this paper aims to propose a framework and a method for the selection of an ERP system and the best practice for implementation at the same time. A hybrid method of Logarithmic Fuzzy Preference Programming (LFPP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) is presented for solving the problem. LFPP is reliable in obtaining weights, while DEMATEL can capture interrelationships between practices. It was applied to a case study supply chain network of a Thai automotive parts manufacturer to demonstrate the applicability; it could establish the priorities of criteria, rank alternatives, and select the appropriate practices at the same time. There is no study about software and practice selection by use of this proposed method before. The comparison of LFPP and the Fuzzy Full Consistency Method (FUCOM-F) was also performed. It shows that FUCOM-F uses a smaller number of pairwise comparisons than LFPP, but the obtained weights of LFPP are more consistent with the evaluation matrix than using FUCOM-F.

Managing client–consultant relationships to derive benefits from ERP projects

Purpose

Enterprise resource planning (ERP) consultants have the expertise required to understand the specific contextual needs of an ERP client, implement tailored business processes that meet those needs, and ensure that no potential benefit offered by the ERP remains unexplored by the client. However, conflicts between ERP clients and consultants are a significant source of non-benefit realisation, making managing client–consultant agency crucial to ERP post-implementation benefits realisation. This paper aims to elucidate how managing client–consultant agency affects the benefits derived from ERP systems.

Design/methodology/approach

This paper uses microfinance institutions in 15 sub-Saharan African countries to explore different paths through which managing client–consultant agency leads to benefit realisation in ERP projects. It uses partial least squares structural equation modelling to analyse data from 127 managers and explains the results using insights from agency theory and the information system (IS) success model.

Findings

This paper reveals three routes through which contractual agreements and conflict resolution strategies lead to benefits realisation in ERP projects.

Originality/value

This is the first study that attempts to provide quantitative evidence of how managing the complex relationship between ERP project stakeholders affects ERP project success. It also contributes a novel theoretical model for ERP benefits realisation to complement existing research on ERP agency issues, critical success factors, and benefits realisation.

Enhancing PLS-SEM-Enabled Research with ANN and IPMA: Research Study of Enterprise Resource Planning (ERP) Systems’ Acceptance Based on the Technology Acceptance Model (TAM)

PLS-SEM has been used recently more and more often in studies researching critical factors influencing the acceptance and use of information systems, especially when the technology acceptance model (TAM) is implemented. TAM has proved to be the most promising model for researching different viewpoints regarding information technologies, tools/applications, and the acceptance and use of information systems by the employees who act as the end-users in companies. However, the use of advanced PLS-SEM techniques for testing the extended TAM research models for the acceptance of enterprise resource planning (ERP) systems is scarce. The present research aims to fill this gap and aims to show how PLS-SEM results can be enhanced by advanced techniques: artificial neural network analysis (ANN) and Importance–Performance Matrix Analysis (IPMA). ANN was used in this research study to overcome the limitations of PLS-SEM regarding the linear relationships in the model. IPMA was used in evaluating the importance and performance of factors/drivers in the SEM. From the methodological point of view, results show that the research approach with ANN artificial intelligence complements the results of PLS-SEM while allowing the capture of nonlinear relationships between the variables of the model and the determination of the relative importance of each factor studied. On other hand, IPMA enables the identification of factors with relatively low performance but relatively high importance in shaping dependent variables.

Boosting Sustainability through Digital Transformation’s Domains and Resilience

Sustainability is a must for all businesses in all industries. It can boost company image and productivity while being aligned with customer needs. On the other hand, digital transformation (DT) is vital for business environments, and organizations need to be resilient in the face of crises such as COVID-19. The main objective of our study is to figure out how DT and organizational resilience might help businesses become more sustainable. This study presents a model that explains social, environmental, and economic sustainability considering the domains of DT and organizational resilience. Our model is evaluated on the data gathered by 208 c-suite leaders from various Iranian companies. The model was empirically validated through a quantitative method of Partial Least Squares/Structural Equation Modeling (PLS/SEM) technique. The findings reveal that the five studied factors have substantial impact on the sustainability of Iranian organizations including data-driven, business process innovation, customer engagement, organizational resilience, and competitive advantages.

Acceptance of GIS within ERP System: Research Study in Higher Education

GIS is often used in companies where employees already use enterprise information systems/enterprise resource planning (ERP) systems and where both systems are used simultaneously. This article is a research study of GIS acceptance by users using GIS, not as a stand-alone tool, but as an integrated tool into the ERP system. The research was conducted using the Technology Acceptance Model (TAM), one of the most often used research models for researching behavioral intention and actual use of information systems. For this research study, TAM has been modified and extended with external factors. The main research objective is to identify determinants of GIS acceptance and the attitude of individuals toward using GIS integrated with ERP systems. The structural equation model with partial least squares (PLS) method was used to analyze collected survey data. The study researched 12 external factors in the TAM model, out of which 10 were found significant. The most important factors that impact behavioral intention to use ERP-GIS systems are perceived usefulness of ERP-GIS systems and attitude toward using GIS, followed by education and training about ERP-GIS systems and perceived enjoyment using ERP-GIS systems.

Overcoming the Challenges of Enterprise Resource Planning (ERP)

The study presents the results of a comprehensive review conducted between 2005-2020 to identify Enterprise Resource Planning (ERP) challenges, discover the divisions in which these challenges can be clustered, and provide general strategies to resolve these challenges. The study also found 25 categories that can be classified into ERP challenges. 65 ERP challenges were identified based on the reviewed literature, of which 18 were not provided with adequate solutions as to how to resolve them, and the related solutions as mentioned in the reviewed literature are presented in-depth. The result will help both academics and practitioners involved with how to resolve ERP system challenges.

Determinants of ERP Adoption, User Satisfaction, and User Engagement

Based on the theory of reasoned action (TRA) and the diffusion of innovation framework, this study examines the key determinants and outcomes of enterprise resource planning (ERP) adoption. The study specifically investigated the impact of system quality and user training on ERP adoption intention. Further, the impacts of ERP adoption intention and personal innovativeness on ERP adoption were also studied. User satisfaction with ERP and user engagement were considered as the two outcomes of ERP adoption. To achieve these objectives, an online survey was conducted and data was collected from 180 ERP users across multiple industries in India to understand their perception of such matters. Structural equation modeling using the partial least square approach was used to test the proposed hypotheses. The results of SEM analysis supported all the hypotheses under investigation. These results provide relevant evidence that may encourage organizations to understand the key determinants of successful ERP adoption and its significant impacts on user satisfaction with ERP and user engagement.

Gamification and reputation: key determinants of e-commerce usage and repurchase intention

Nowadays, companies know that keeping customers engaged is essential to increase their loyalty. The main goal of this study is to understand the impact of gamification and reputation on the intention of repurchase in e-commerce. Gamification corresponds to the regular usage of game elements in non-game context. This study purposes a theoretical model indicating the determinants of repurchase intention. Here we present an empirical study (survey collected data) within a real e-commerce usage context. Data were analysed with SEM/PLS method. Results indicate a positive impact of trust on the intention to use of e-commerce, on buy frequency and on repurchase intention. Ease of use, usefulness of e-commerce platforms affect intension to use. We verified the impact of reputation on trust, as well as the impact of gamification on the effective use of the e-commerce platforms. Results indicate that gamified e-commerce websites determine usage and use positively influences repurchase intention in e-commerce context.

Determinants of the management learning performance in ERP context

Management learning poses some challenges, firstly students should identify all administration areas and secondly, they should understand the big picture of an organizational context, by integrating all the studied areas. Enterprise Resource Planning (ERP) systems are the backbone of any organization, in terms of information management systems integration. The usage of these systems is important in terms of management in any organization, and ERP's can facilitate the management learning process. The main objectives of this study are to understand if the ERP usage supports management learning, and to identify the main determinants of individual performance. This study presents a success model of ERP usage for learning management context. The model was validated empirically through a survey answered by university management students. The results show that system quality, process quality, and training play a determinant role in the students' performance.

A hybrid model for exploring the antecedents of cloud ERP continuance

Purpose

This study aims to propose a hybrid model based on expectation–confirmation model (ECM), DeLone and McLean IS success model and task-technology fit (TTF) model to examine whether quality factors and TTF as the antecedents to user beliefs can affect organizational users’ continuance intention of cloud enterprise resource planning (ERP).

Design/methodology/approach

Sample data for this study were collected from end-users of cloud ERP working in companies in Taiwan. A total of 370 questionnaires were distributed in the 37 sample companies, and 315 (85.1 per cent) usable questionnaires were analyzed using structural equation modeling in this study.

Findings

This study’s findings indicated that users’ perceptions of system quality, information quality and TTF all contributed significantly to their satisfaction, confirmation and perceived usefulness (PU) of cloud ERP, which in turn directly or indirectly led to their continuance intention of cloud ERP; that is, the results strongly supported the hybrid model integrating ECM, DeLone and McLean IS success model and TTF model with all hypothesized links being significant.

Originality/value

Empirically, this study’s research model capturing ECM, DeLone and McLean IS success model and TTF model has significantly shed light on the possible formulation of a richer post-adoption model. Noteworthily, considerably more attention should be paid to the fit between information-related characteristics and cloud ERP users’ work goals and needs, while TTF, based on both system-related and information-related technology characteristics, significantly contributes to users’ satisfaction, confirmation and PU, which together directly or indirectly explain their intention to continue using cloud ERP.

Performance, farmer perception, and the routinisation (RO) moderation on ERP post-implementation

This study discusses the perceptions of the routinisation effects on the post-implementation and post-adoption of the enterprise resource planning (ERP) in farms. A theoretical model and nine hypotheses were proposed using factors according to the literature of resource-based view (RBV) approach and on the ERP impact on farm performance perceptions. This study contributes to the literature by testing empirically the moderation effect of routinisation on the RBV. A qualitative interview was applied to larger farmers where ERP was already in use and for the quantitative approach a sample of 448 answers was collected composed of 74% grain farmers, 14% cattle raising and milk producers, and 13% sugar cane and fruits farmers. The results reveal that the model explains 63% of the variation in the impact on farm performance. Our results show that routinisation moderates only the relationship between the impact on internal operations with impact on farm performance. The conclusions confirm the necessity to expand the RBV approach to the farmer perceptions, exploring other factors like the benefits and the impact of natural resources in the routinisation process. Finally, we propose a discussion of the development of Agriculture 4.0 in a resource-based view for the development of competitive advantage in the context of farms.

What drives cloud ERP continuance? An integrated view

Purpose

The purpose of this paper is to explore the key antecedents of organizational users’ continuance intention of cloud enterprise resource planning (ERP) by the integration of constructs from the expectation–confirmation model (ECM), technology acceptance model (TAM), theory of planned behavior (TPB), task-technology fit and TAM2.

Design/methodology/approach

Sample data for this study were collected from end users of cloud ERP working in companies in Taiwan. A total of 560 questionnaires were distributed in the 56 sample companies, and 395 (70.5 percent) usable questionnaires were analyzed using structural equation modeling in this study.

Findings

Findings show that while compatibility and output quality are key antecedents of confirmation of expectations toward cloud ERP, compatibility still reveals overwhelming and more indirect impacts on users’ continuance intention of cloud ERP than output quality because output quality has significant but evidently lesser effects on perceived usefulness and perceived ease of use than compatibility.

Originality/value

First, this study contributes to the identification of compatibility and output quality that may reveal deep insights to the task-related factors in understanding users’ cloud ERP continuance greatly driven by their confirmation of expectations toward cloud ERP. Next, the empirical evidence on capturing the ECM, TAM and TPB for completely explaining the antecedents of users’ continued cloud ERP usage intention is well documented. Hence, this study’s findings have significantly shed light on the possible formulation of a richer post-adoption model.