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This research is directed to strengthen the network among the drivers of the Climate Village program in ten RWs in DKI Jakarta. Using collaboration action research, this research uses focus group discussion techniques which are conducted twice in each community. During the FGD twice there was an increase in community network marked by the creation of an organizational structure and work program that had not been made so far. These two outcomes are certainly important for building relationships that are more equal to elements of the local government and also the private sector which tends to impose programs on the community.

Smart city movements are growing all over the world. The undertaking is expected to solve a plethora of problems arising from urbanization. Indonesia is one of the countries who march toward the development of sustainable smart cities. However, before the government can start a smart city project, they need to assess the readiness of each target city. Data in this article illustrate the readiness of six major cities in Indonesia, which are Semarang, Makassar, Jakarta, Samarinda, Medan, and Surabaya. They represent the four biggest islands in Indonesia. The readiness assessment was based on three main elements and six Smart City Pillars taken from Smart City Master Plan Preparation Guidance Book prepared by Ministry of Communication and Information Technology of the Republic of Indonesia. Those elements serve as a checklist to determine the readiness of the cities. Data for qualitative analysis were gathered through interviews and triangulated through secondary sources, such as publication from Statistics Indonesia and the assessment reports. The dataset contains information on the readiness assessment is presented in this article. The indices of the six region's readiness assessment are presented in percentages.

The digital transformation in business schools during the COVID-19 pandemic is unique since external factors, not internal initiatives, drive it. This event is called 'forced digital transformation.' It raises new challenges for business schools to ensure that the transformation continues in the future since the post-pandemic situation has encouraged social and economic activities to return offline. As the situation begins normal, less external pressure can result in declining creative initiatives from business schools to explore more opportunities from digital technologies. Consequently, the digital transformation process that started during the pandemic could stagnate. One of the essential factors that play a role in encouraging continuous digital transformation is leadership. Leadership is believed to be the core of every digital innovation process. However, research investigating the role of leadership in business schools' digital transformation during the COVID-19 pandemic is still limited. Therefore, this study aims to describe leadership's role in structural and behavioral changes during forced digital transformation in business schools by applying a systematic literature review.

Social security is an essential instrument for protecting people from falling into poverty due to economic shocks in the event of sickness, work-accident, old age, and death of income producers. Indonesia introduced Law no. 40 Year 2004 on National Social Security System to implement mandatory social security programs for all. Despite the compulsory participation for all, the national social security system's coverage continues to be low and mostly relies on government aids. This study explores and analyzes key factors that need to be considered during the policy options formulation process to ensure the intended policy can support the national social security system's implementation. The findings show the need to build an integrated ecosystem model that is critical for social security implementation by considering the combined use of decision-making approaches and five consideration factors during the policy options formulation. An integrated ecosystem model contributes better policy options formulation that can support the effective implementation of the national social security programs while minimizing implementation risks.