1. Introduction
Online public grievance redressal system is an e-government initiated program that addresses the grievances, complaints, or issues of the citizen’s being challenged in daily life. Government of Nepal, launched the online redressal system under prime minister’s office called ‘Hello Sarkar” in 2011. It was designed to make the ministries and agencies more transparent and accountable for public service delivery, for slow bureaucratic process and prevalent corruption are the main sources of complaints. Hello Sarkar helps citizens online by leading them to the responsible organization that handles their particular concern.
The aim of this study is to analyze the success factors of Hello Sarkar from the viewpoint of the citizens who are using the system to lodge grievances online. Several literature [1] [2] have examined various e-government systems, nevertheless few research has not yet measured the success of e-grievance system in Nepal. This study employs DeLeon & McLean's model to empirically explore the success factors, for it's validity has been tested by many of previous studies [3].
They build the paths model about information system success, but theirs’s is a conceptual one drawn from their experience and induction. This study is to empirically test it to find out what are the key factors of citizen's intention to use Hello Sarkar. The empirical findings of this study will serve the better design and operation of electronic grievance system in Nepal and around the world.
2. Literature Review
DeLone and McLean developed the Information System(IS) success model in 1992 and extended it later. The two models have lead researchers to establish the significant factors that have influenced the acceptance and use of e-government services [4]. The D&M model of 1992 was associated with six factors such as system quality, information quality, use, user's satisfaction, individual impact, and organizational impact. In 2003, the model was further updated with added variables of intention to use, usage and net benefits, while dropping variables like individual impact and organizational impact.
The D&M model has been evolved as follow-up researches add new findings. The meta-analysis over 52 empirical studies, finding that the relationship between service quality and intention to use is not supported except only one study [5] [6]. It suggests the future research should examine how IS research model preform in various context. It is advocated that subjective norms as suitable construct for use of the system as it is the influence of important people who he or she should perform the convinced behavior [7]. In addition, trust is believed to be one of important factors that determine the perceptions about the information and system quality [8] [3].
Incorporating many new findings and argument, the extended D&M model drops the variable of service quality, while it adds variables such as trust, subjective norms, and attitude. Definitions of the variables are presented in the Table 1.
Table 1. Definitions of the variable
3. RESEARCH DESIGN AND DATA COLLECTION
To examine the extended D&M model in Nepal context, this study sets up 13 hypotheses based on the relationships among seven variables adopted. A self-administered questionnaire was constructed by referring to [4]. The final questionnaire consist of 23 questions and 11 demographic questions. They are multiple- type, close-ended, and 7-point scale ones; 1 for “strongly disagree” to 7 for ‘strongly agree,” as [13] employs.
A total of 577 respondents from Kathmandu and adjoining district Lalitpur and Bhaktapur, Nepal gave answers to the survey in the period of December 2018 and January 2019. The respondents are the majority user of Hello Sarkar, for most of them are well accustomed to using computer and internet technology for years. The average age of them ranges from 20 to 39, and 85.5% of them holds bachelor’s degree or more. Male accounts for 55.6% of the sample. The majority of the respondents belongs to public sector having 29.5% followed by private sector employee with 28.4% and students 27.9% respectively.
Reliability analysis is performed using Cronbach’s alpha. The results range from 0.744 – 0.882, in all seven variables which is regarded as high, indicating the internal consistency of the items measuring the same construct [14].
4. ESTIMATION AND FINDINGS
A series of regression analyses is carried out to perform the path analysis. As shown in Figure 1, threelayered multiple regressions result in the estimation of the paths toward INTENTION TO USE, the proxy of success of Hello Sarkar.
The empirical results support all the thirteen hypotheses of the extended D&M model with significant and positive path coefficients. Paths of SUBJECTIVE NORMS to ATTITUDE to INTENTION TO USE have the greatest effect, and they are depicted as the thick arrows in the figure.
Table 2 decomposes the total effects of variables into direct and indirect ones. ATTITUDE has the greatest direct effect, while SUBJECTIVE NORMS has the greatest indirect effect through a rather complex paths. The greater SUBJECTIVE NORMS is, or the more positive people around the respondent think the e-grievance system, the more likely he or she has an ATTITUDE inclined to think the use of Hello Sarkar as a wise idea. It leads to the greater INTENTION TO USE the information system.
Other variables have significant direct and indirect effects on the dependent variable, too. Although they have smaller magnitude of the effect, it should be noted that that the indirect impact of INFORMATION and SYSTEM QUALITY on ATTITUDE subsequently influence the INTENTION TO USE the system. It suggests that Hello Sarkar should have better user friendly process, available information in website, and ease to use. Then it will bring subsequent positive attitude to use the system continuously.
Table 2. Effects of Variables on INTENTION TO USE
Note 1: Numbers attached to arrows are standardized path coefficients respectively.
Note 2: The asterisk(*) for significant at 0.10 level, (**) for 0.05 level, and (***) for 0.01 level.
Note 3: Numbers in parenthese denote t-values associated with the path coefficient.
Figure 1. Results of Estimation
5. CONCLUSION
The empirical results from the users of online public grievance redressal system in Nepal presents interesting findings. First, this study supports the extended D&M model like many other studies. All the thirteen paths made by seven variables has positive and significant coefficients. Second, this study shows that the social and subjective variables like ATTITUDE and NORMS are as much important as information technology per se. It is often believed that the quality of information system including hardwares, speed, and contents would increase people's intention to use e-government like Hello Sarkar. However, this study reemphasizes the importance of social psychology along with the quality of information system. Third, this study leads to a follow-up questions whether the empirical findings prone to social aspect of e-government are universal over the context of Nepal.
Bringing to conclusion, it is very vital for the Government of Nepal to enhance information and system quality to increase the positive attitude and subjective norms to use the Hello Sarkar in the future. The success of any e-government system can be determined only by it’s continuous usage, so that it is the challenge for every government to maintain electronic system for usefulness, ease of use, information flow, service quality and prompt service delivery. It requires the government to have a specific action plan to maintain the e- grievance system and to enhance the information and system quality.
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