Abstract. Ut ilization of Informat ion and Communication Technology (ICT) is still relatively low in the level of SM Es due to various limitations ranging fro m access to capital, till the market ing network. ICT is present to provide the ability for SM Es in improving the benefits and competitive advantage of the organization. This study aims to determine the level of readiness of SMEs in utilizing technology, especially ICT. The methodology used is a survey to see the technology readiness of 107 SM Es in South Tangerang selected by purposive sampling. The approach used is TRI (Technology Readiness Index) which is the individual perception of technology based on four criteria that is optimism, innovative ness, discomfort and insecurity. The results showed that the optimis m and innovativeness variables significantly positively influence the technology readiness while the variables of disco mfort and insecurity also significantly positively influence the readiness of ICT.

Abstract. The purpose of this research is to validate the Critical Success Factors (CSFs) of eGovernment implementation in Indonesia. The e-Government initiative conducted only to obey the regulation but ignoring the quality. Defining CSFs will help government agencies to avoid failure of e-Government projects. A survey with the questionnaire was used to validate the item of CSF based on expert judgment through two round of Delphi. The result showed from 67 subjects in instrument tested; there are 11 invalid items deleted and remain only 56 items that had good content validity and internal reliability. Therefore, all 56 CSFs should be adopted by government agencies in Indonesia to support e-Government implementation.

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This study aims to conduct a review of Smart city literature specifically related to Smart city indicators from various cross-studies. The method used is a systematic literature review consisting of five stages, namely defining eligibility criteria; define the source of information; literature selection; data collection and item selection with synthesis techniques. The results of the study showed a set of indicators consisting of 43 indicators classified into 8 categories of Smart City. Smart city indicators and categories are contributions from this research to fill the literature gap theoretically and help cities monitor their performance overtime.