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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

ERP Usage in Practice : Understanding End-Users ‘Acceptance of ERP Systems in Chinese large companies by applying UTAUT model

Chen, Bo, Zeng, Zili January 2012 (has links)
Introduction: The Enterprise  Resource  Planning system is  an  emerging  technology  that belongs to the scientific discipline of information systems. In simple words the ERP system integrates an organization’s resources and also involves business processes and organiza-tional changes. With the ubiquitous growth of IS investment, ERP systems implementation grows strongly. More and more companies introduced ERP systems. However many ERP implementation success stays at technical perspective. Users’ acceptance of ERP system is the key to the ERP implementation. Purpose: The purpose of this study is to investigate and research factors that have affected the  end-users’ acceptance of the ERP  system  during  post-implementation  phase  of  the ERP implantation lifecycle. Method: In  order  to  understand the ERP  system  acceptance  in practices,  this  study  will collect data from two Chinese companies. Employees from two Chinese companies will be selected as  target  group  for  user  acceptance research.  With the  analysis  of  collected  data, user acceptance of the ERP system in those two Chinese companies will be studied. Inter-views and questionnaire are used in this study. This study will interview with ERP export and  generate  the  factors that could  have possible affected users’ acceptance. Hypotheses will  be  deduced by  those  factors. Based  on  the  primary  data  of questionnaires regression analysis is used to test those hypotheses to identify those factors.  Results: Research results show the factors that influence end-user acceptance of the ERP system. The factors are: Business process adoption, ERP system performance, ERP com-munication, ERP  functionality, Computer nervousness, Technological  innovation, Social impact and support, ERP support. Organizations need to pay attention to those important factors in order to improve the ERP system acceptance among end-users.
2

Mobile learning in higher education : Students’ acceptance of mobile learning in three top Chinese universities

Zhu, Qiyao, Hu, Yan, Guo, Wentao January 2012 (has links)
Introduction: Along with the swift spread of 3G and wireless network, wireless technologies are applied in many areas, especially in education. The advent of mobile learning overcomes several limitations and barriers of traditional classroom education. As for higher education in China, mobile learning is in its infancy stage. Understanding end-users’ acceptance of mobile learning is crucial, because new technological advances cannot enhance performance if they are not accepted by end-users. This study focuses on three top Chinese universities and answers the following research questions: How do students perceive mobile devices as a learning tool incorporated in class and what are their attitudes towards mobile learning? What are the motivational factors that affect students’ acceptance of mobile learning? Purpose: The purpose of this study is to test the proposed Technology Acceptance Model (TAM) in explaining students’ acceptance in three top Chinese universities. The goal of this work is to enhance the understanding of user acceptance of incorporating learning into mobile device inside and outside classes. Method: A deductive, theory-testing approach was used in this study. Eleven hypotheses were built based on a literature review and on the proposed TAM model, and were tested using primary data and literature review. Primary data was gathered via semi-structured interviews and questionnaires. The data collected through the questionnaire was analysed by Structural Equation Modeling. Conclusion: Through testing the proposed model, the authors found that students are positive towards mobile learning but they do not have a strong willingness to adopt it. The proposed TAM model can improve the understanding of students’ motivation by suggesting what factors are the most important in enhancing students acceptance of mobile learning.

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