G.C. Peng’s scientific contributions

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Publications (2)


Issues and difficulties in doing participative research in China: lessons learned from a survey in information systems research
  • Conference Paper

January 2008

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21 Reads

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9 Citations

G.C. Peng

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Contextual, cultural and political differences between China and the West determine that research issues and difficulties, that may not generally be experienced and reported in the West, can occur during participative research processes in China. Disregarding these context specific issues can lead to either a complete failure of the research project or insignificant research findings (e.g. lack of response or meaningless responses to questionnaires). This paper reviews and discusses issues that obstruct researchers carrying out participative survey research in China. These include problems related with identifying an appropriate research sample, translating the survey instrument, retrieving an accurate company list, getting sufficient responses and finally getting earnest responses from participants. The causes for these potential problems are discussed in relation to the political, economic, social, historical and cultural conditions in China. This paper proposes and illustrates a set of heuristics to overcome these problems, based on the lessons learned from a questionnaire survey conducted in an ongoing PhD research project. The project aims to investigate the barriers and risks associated with the post-implementation of Enterprise Resource Planning (ERP) Systems in Chinese companies. This paper is particularly meaningful for researchers and research project supervisors, who already engage or are interested in doing research in China but are relatively unfamiliar with the research context there.


Using PEST Analysis as a Tool for Refining and Focusing Contexts for Information Systems Research

January 2007

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2,112 Reads

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71 Citations

It is common for inexperienced researchers and research students to aim at investigating very wide contexts such as countries (e.g. China, India, UK), regions (e.g. the Arab Countries) or even continents (e.g. Africa). Such studies in Information Systems (IS) are not only unrealistic and potentially unfeasible, but may result in findings that are neither significant nor meaningful. Research supervisors often face difficulties in explaining and resolving these common pitfalls in research proposals. This paper proposes the use of Political, Economic, Social and Technological (PEST, also often referred to as STEP) analysis as a tool to identify narrower contexts and focus research questions around feasible and meaningful regional contexts. It illustrates this process with the results of an analysis carried out as part of an ongoing PhD research project. The project aims to investigate the barriers and risks associated with the post-implementation of Enterprise Resource Planning (ERP) systems in Chinese companies. PEST analysis was used to define an appropriate region in China (i.e. Guangdong), as well as the type of company to be studied, namely State Owned Enterprises (SOE). This analysis was followed by a set of SWOT analyses in order to identify a suitable sector, namely the electronic and telecommunication manufacturing sector. The paper also shows how the researcher reviewed, compared and synthesised large amounts of literature and statistical data when constructing arguments and standpoints. This approach helped to develop a profound understanding of the Chinese context and has proved to be a valuable decision-making tool when selecting an appropriate Chinese region, a type of company and an industry sector in which to conduct the research. It resulted in the redefinition of the research question and in data collection and analysis that is more likely to produce useful, meaningful and generalisable findings.

Citations (2)


... To gain a representative sample, we used the Yellow Pages of China Telecom as a starting point for determining the potential sample pool. Following previous research (e.g., Peng and Nunes, 2008;Zhao et al., 2006), we identified a key informant in each randomly selected manufacturer with the help of Guanxi networks (personal connections with government officials, industrial authorities, and/or universities), which facilitates data collection in China. Respondents typically held titles such as CEO, president, director, supply chain manger, operations manager, marketing manager, and sales manager and had been in their position for more than five years. ...

Reference:

The effect of internal communication and employee satisfaction on supply chain integration
Issues and difficulties in doing participative research in China: lessons learned from a survey in information systems research
  • Citing Conference Paper
  • January 2008

... NVivo was employed to code eligible papers to identify answers to each research question; then, the researchers determined the impacts of technologies in the decision-making process through coding in NVivo for RQ4. Therefore, all tools, including the PEST framework, R software and NVivo, were crucial and played a vital role in the analysis to find information about technologies, challenges and the impact of technologies on the decision-making process in real estate (Peng and Nunes, 2007). These findings contribute to formulating strategies or frameworks for addressing these issues in the future. ...

Using PEST Analysis as a Tool for Refining and Focusing Contexts for Information Systems Research
  • Citing Conference Paper
  • January 2007