strategy, Policy, and Legal Barriers to E-Gov in Afghanistan Dataset
This research aims to identify the strategy, policy, and legal obstacles facing the implementation of E-Gov in Afghanistan from the perspective of the government employee. Accordingly, an empirical study was conducted using statistical and descriptive analysis research methods to determine the existing strategy, policy, and legal barriers. The literature review on the subject showed that while there have been several papers focusing on obstacles to E-Gov in developing countries, including Afghanistan, few studies have focused specifically on strategy, policy, and the legal barriers to E-Gov within the public sector of Afghanistan. This study takes as its sample a total of 387 employees from 10 different government institutions in Afghanistan. The final results of the analysis indicate that respondents agreed on the existence of all the strategy, policy, and legal barriers listed in the survey. However, of interest was that four obstacles out of 11 rated either agreed or strongly agreed by respondents; that is, the absence of implementation guidance for E-Gov Projects (57.82%); lack of legal bases and comprehensive policy (58.35%); lack of security rules, policies and privacy law (58.39%); and lack of political commitment and coordination (58.34%), all of which were considered significant barriers. Therefore, the findings of this paper contribute towards filling the knowledge gap of E-Gov sector strategy, policy, and legal barriers. Furthermore, the results of the survey confirm the hypothesis that strategy, policy and legal barriers are among the major challenges facing effective implementation of E-Gov initiatives.
For data collection, a survey questionnaire was set up, grounded on a comprehensive literature review and the study of definitions. A final set of 32 items was designed for the questionnaire and organized according to the five major types of barrier. In the interest of comprehension, the questionnaire was presented in both English and Dari, with a pilot study being deployed among 35 respondents to validate the clarity and comprehensibility of the survey questions. Respondents were also asked for their opinions on the degree to which the questionnaire items were explicit and the degree to which they were appropriate to determine the aspects for which they were intended. Furthermore, Correlation Analysis (Pearson) has been deployed as well, where we check If Sig. < 0,05 = valid, If Sig. > 0,05 = not valid and delete the survey items. In line with the answers of respondents to the pilot study, all survey items were validated and were thus retained for the final study.
The resulting final questionnaire was separated into six sections: questions of demographics, barriers to strategy, policy and legal barriers, technological and IT infrastructure barriers, organizational and cultural barriers, and operational cost barriers of E-Gov implementation in Afghanistan.
This dataset, however, contains explicitly with the 11 survey items related to the policy, legal, and strategy barriers to E-Gov system implementation in Afghanistan. The survey instrument was developed using items adopted from previous studies mainly from “IS success model”. Participants were asked to indicate how frequently each statement fits them using 5-Point Likert Scale, wherein 1 indicates Strongly Disagree, with 5 indicating Strongly Agree. The first section contains five demographic and profile characteristics that include questions regarding the gender of the participant, age, educational level, affiliate organization (all were public sector government institutions), and position therein. The second section was related to barriers impeding strategy (6 items). The third section is made up of items designed to measure technological and IT infrastructure barriers (9 items). In the fourth section, the items related to policy and legal barriers (5 items). The fifth section of the questionnaire was related to operational and cultural barriers (9 items). The sixth and final section was related to operational cost barriers (3 items).