ERP Implementation Projects in Asian Countries

Author(s):  
Shahin Dezdar

This research studies critical success factors that influence the ERP implementation project in a Middle-Eastern country, namely Iran and compares the results with findings in a country in East Asia, namely China. A survey questionnaire was distributed to Iranian organizations with ERP systems. A total of 384 responses were collected and analysed using the Structural Equation Modelling. Findings are then compared, with the enterprises of China, to check for the similarities & differences. The outcomes showed that ERP implementation success in Iran is influenced by Top Management Support, Project Management Program, Organizational Culture, User Education & Training, ERP User Involvement, ERP User Characteristics, ERP Software Suitability, ERP Information Quality, ERP System Quality, ERP Vendor Quality. The central aim of the current research is to understand the most significant factors of ERP project success that help adopting companies to realize the benefits of ERP implementation.

2020 ◽  
Vol 28 (3) ◽  
pp. 77-98
Author(s):  
Kamel Rouibah ◽  
Adel Dihani ◽  
Nabeel Al-Qirim

Many studies have investigated technology adoption in western countries and ignored the Arab region. The available Arab studies focused on the technology adoption model (TAM) and its subsequent variations while leaving important factors such as information quality, user involvement, availability of training and top management support on the success of information systems (IS). Despite that these factors were studied scantly in some past studies, this research attempts to fill this gap and develop a more integrative model of IS success. Results indicated the existence of four critical success factors, three organizational factors (management support, training, user involvement), and an information system factor (information quality), that affect IS success (use and satisfaction). Results found that information quality for the first time mediates the effect of the three organizational factors on IS success, while TAM components (perceived usefulness and perceived ease of use) have no effect.


Author(s):  
Hong Zhao

The importance of self-regulation in e-learning has been well noted in research. Relevant studies have shown a consistent positive correlation between learners’ self-regulation and their success rate in e-learning. Increasing attention has been paid to developing learners’ self-regulated abilities in e-learning. For students, what and how to learn are largely predetermined by the learning environment provided by their institutions. Environmental determinants play a key role in shaping self-regulation in the learning process. This paper reports a study on the influences of the e-learning 2.0 environment on self-regulation. The study identified the factors that influence self-regulation in such an environment and determine the relationships between the factors and self-regulation. A theoretical model to categorize the success factors for self-regulated learning was proposed for this kind of environment. Based on the model, a questionnaire was designed and administered to more than two hundred and fifty distance learning students in Beijing and Hong Kong. Through structural equation modeling (SEM) technique, relationships between environmental factors and self-regulation were analyzed. Statistical results showed that several factors affect self-regulation in the e-learning 2.0 environment. They include system quality, information quality, service quality, and user satisfaction. L’importance de la maîtrise de soi en cyberapprentissage a été bien étudiée. Les études pertinentes ont démontré une corrélation positive uniforme entre la maîtrise de soi des apprenants et leurs taux de réussite en apprentissage en ligne. Une attention croissante a été portée au développement des aptitudes de maîtrise de soi des élèves en cyberapprentissage. Pour les élèves, quoi apprendre et comment sont des questions principalement prédéterminées par l’environnement d’apprentissage qu’offrent leurs établissements. Les déterminants environnementaux jouent un rôle clé pour modeler la maîtrise de soi dans le processus d’apprentissage. Cet article rapporte une étude sur les influences de l’environnement de cyberapprentissage 2.0 sur la maîtrise de soi. L’étude a cerné les facteurs qui, dans un tel environnement, influencent la maîtrise de soi et déterminent les relations entre les facteurs et la maîtrise de soi. Un modèle théorique de catégorisation des facteurs de réussite pour l’apprentissage autogéré a été proposé pour ce type d’environnement. Un questionnaire a été conçu selon ce modèle et plus de deux cent cinquante élèves en téléapprentissage à Beijing et à Hong Kong y ont répondu. À l’aide d’une technique de modélisation par équation structurelle, les relations entre les facteurs environnementaux et l’autogestion ont été analysées. Les résultats statistiques ont démontré que plusieurs facteurs affectent l’autogestion dans l’environnement de cyberapprentissage 2.0. Ceux-ci comprennent la qualité du système, la qualité de l’information, la qualité du service et la satisfaction de l’usager.


2019 ◽  
Vol 1 (1) ◽  
pp. 123-142
Author(s):  
Sang Ayu Putu Arie Indraswarawati ◽  
I Putu Deddy Samtika Putra ◽  
Ni Wayan Cahyani

The use of Accounting Information System (AIS) is very helpful in accommodating all the information needed to make an accurate decision. Indicators in determining the good and bad performance of an information system can be seen through AIS user satisfaction and usage. The purpose of this study was to determine the effect of top management support, system quality and information quality on AIS user satisfaction. The sample selection method used was purposive sampling. The research sample was 147 people consisting of administrators, loan officers and savings at 29 Lembaga Perkreditan Desa (LPD) in Ubud Subdistrict. The data in this study is primary data which is the answer from the questionnaire. The regression results show that all variables have a significance of 0,000. It shows that top management support, system quality and information quality have positive influences on Accounting Information System user satisfaction.


2021 ◽  
Vol 23 (2) ◽  
pp. 154-170
Author(s):  
One-Ki Daniel Lee ◽  
Ramakrishna Ayyagari ◽  
Farzaneh Nasirian ◽  
Mohsen Ahmadian

PurposeThe rapid growth of artificial intelligence (AI)-based voice-assistant systems (VASs) has created many opportunities for individuals to use VASs for various purposes in their daily lives. However, traditional quality success factors, such as information quality and system quality, may not be sufficient in explaining the adoption and use of AI-based VASs. This study aims to propose interaction quality as an additional, yet more important quality measure that leads to trust in an AI-based VAS and its adoption. Design/methodology/approachThe authors propose a research model that highlights the importance of interaction quality and trust as underlying mechanisms in the adoption of AI-based VASs. Based on survey methodology and data from 221 respondents, the proposed research model is tested with a partial least squares approach. FindingsThe results suggest that interaction quality and trust are critical factors influencing the adoption of AI-based VASs. The findings also indicate that the impacts of traditional quality factors (i.e. information quality and system quality) occur through interaction quality in the context of AI-based VASs. Originality/valueThis research adds interaction quality as a new quality factor to the traditional quality factors in the information systems success model. Further, given the interactive nature of VASs, the authors use social response theory to explain the importance of the trust mechanism when individuals interact with AI-based VASs. Contribution to Impact


2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Sigit Kurnianto ◽  
Deddy Kurniawansyah ◽  
Wulandari Fitri Ekasari

This study aims to test the success Siskeudes by developing a successful model of the DeLone and McLean information systems into seven dimensions. The population was 151 siskeudes operatos in the village goverments Gresik, Nganjuk, Situbondo. The sampling used in this study a sensus method. Source of data is primer data, obtained questioner from respondend. This study used structural equation modeling (SEM). The results obtained in this study is system quality has a effect on system satisfaction, information quality has a effect on information satisfaction, usefulness has a effect on system satisfaction and information satisfaction, system satisfaction has effect on individual impacts, information satisfaction has a effect on conflict intentions, individual impacts has a effect on organizational impacts, except information qualityto usefulness, system quality to information satisfaction, usefulness to individual impacts, usefulness to organizational impact, system satisfaction to organizational impact, information satisfaction to organizational impact. In addition, the test results show that there are nine pathways that have additional influence through indirect pathways. This finding becomes the basis for the development of a successful model of information systems in eGovernment, for regulators to develop and manage strategies for implementing the Siskeudes application, and as a guide for evaluating the success of Siskeudes.


2016 ◽  
Vol 12 (2) ◽  
pp. 111
Author(s):  
Dionysia Kowanda ◽  
Muhammad Firdaus ◽  
Rowland Bismark Fernando Pasaribu

In a small-sized to big-sized company, evaluate the information system success is essential, yet notalways been seamless. Successful implementation of a system can be indicated by measuring its usersatisfaction. This study aims to measure Adempiere ERP Open Source end-user satisfaction atBlessings SME’s. This study employs three variables from The Updated DeLone and McLean Information System Success (2003), namely information system quality, information quality, andservice quality, and two variables from Technology Acceptance Model (TAM) as well, namely perceived usefulness and perceived ease of use, and also takes top management support as another consideration. Data were collected by distributing questionnaires to the respondents directly concerned. The findings showed that information quality, perceived usefulness, perceived ease of use, and top management support have significant positive impact to Adempiere ERP Open Source enduser satisfaction, whereas information system quality and service quality have positive impact but not significantly.Keywords: Small-Medium Enterprises, information system quality, information quality, servicequality, perceived usefulness, perceived ease of use, top management support, end usersatisfaction, information system


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shavneet Sharma ◽  
Neale Slack ◽  
Kritika Devi ◽  
Tuma Greig ◽  
Samantha Naidu

PurposeWith the increasing popularity of online games like Pokémon Go, a new wave of crowdsourcing communities have emerged, allowing gamers to collaborate, communicate and share useful game-related information. This paper aims to examine the factors that influence gamers' crowdsourcing behaviour.Design/methodology/approachA conceptual framework is developed that combines the DeLone & McLean model, self-determination theory, and different levels of engagement behaviour. The online survey collected 371 responses that were analysed using Covariance Based Structural Equation Modelling (CB-SEM).FindingsThe results show that extrinsic and intrinsic motivation positively influenced gamers' crowdsourcing engagement intention. System quality and information quality were also confirmed to be positively associated with gamers' crowdsourcing engagement intention. Furthermore, crowdsourcing engagement intention was found to be positively associated with crowdsourcing content consumption, contribution, and creation.Practical implicationsThe findings of this study are useful for the owners of Pokémon Go and other gaming-related crowdsourcing platforms in devising tailored strategies to increase the crowdsourcing engagement of gamers.Originality/valueThis study provides the first empirical evidence of factors motivating online gamers' crowdsourcing intention. This study also presents novel insight into online gamers' crowdsourcing intention by combining diverse theories which offer different perspectives and a more comprehensive understanding of the phenomenon. Contribution to the research on the intention-behaviour gap by modelling three behavioural outcomes (content creation, contribution, and consumption behaviour) of crowdsourcing engagement intention, is another important contribution of this study.


Author(s):  
Hsin-Ju Wei ◽  
Chia-Liang Wei

Enterprise Resource Planning (ERP) has become the core of successful information management and is also the foundation of corporate information systems for treating with everything related to corporate processes. The ERP implementation has been considered a complicated process because introducing process is involved with different potential conditions and factors so that they may affect the ultimate performance of ERP systems. The aim of this study is to analyze success factors of introducing SAP system for ERP implementation in small and midsized firms. The authors first found out past critical factors affecting the ERP implementation by means of literature review in order to understand results of past studies. Next, the authors widely collected the critical success factors from previous studies and sifted out representative factors to make up a questionnaire. Through the pilot study and questionnaire revision, the authors identified the content of the questionnaire and started interviewing job. When interviewing activities were finished, they began to study and analyze the data. Survey results indicate that three of the most important factors affecting ERP implementation are “top management support and commitment”, “project manager’s competence” and “communication and coordination effectiveness”.


Author(s):  
Md Abdul Kaium ◽  
Yukun Bao ◽  
Mohammad Zahedul Alam ◽  
Md. Rakibul Hoque

Purpose This study aims to understand the factors affecting the continuance usage intention (CUI) of mHealth among the rural elderly. Design/methodology/approach An integrated model was proposed with the constructs derived from multiple models such as the unified theory of acceptance and use of technology, information system success model and expectation confirmation model. Data were collected from 400 participants who had prior experiences with mHealth services in Bangladesh. The research model was tested using the partial least squares method based upon structural equation modelling. Findings The findings indicated that system quality, performance expectancy, facilitating conditions and social influence were significant to the degree of confirmation and ultimately affect satisfaction and CUI. Surprisingly, service quality and information quality were insignificant. Research limitations/implications This study has added in the field of knowledge by contributing some new thoughts and interpretations of continuance usage modelling for mHealth services. The findings may become beneficial for the government agencies, policymakers, mHealth systems developers and service providers. Originality/value As limited research was found on CUI of mHealth in the integrated view of rural elderly’s value, this research contributes to the extant literature by categorizing key factors that might support to proliferate the continuance usage of this service. Moreover, the contextualization of the related variables and integration of the existing model is theoretically original. Furthermore, because of a generic approach, the findings could be easily modified to assist other developing countries in the planning and up-take of mHealth.


Author(s):  
Omar E.M. Khalil ◽  
Manal M. Elkordy

This chapter reports on the findings of research investigating the influence of information quality on EIS information use as well as the possible impact of ease of use, user involvement, IS maturity, and system sophistication on EIS information quality. To test the research hypotheses, data were collected from 216 U.K.-based executives. A structural equation modeling (SEM) technique for data analysis and model measurement was applied. Information quality was found to influence EIS information use. Also, ease of use, user involvement, the IS integration dimension of IS maturity, and EIS sophistication were found to influence executives’ perception of information quality. Further findings, limitations, and implications for researchers and practitioners are discussed.


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