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Indonesia subscribes to rights-based principles of family planning. However, a chasm between principles and practice has long been noted on a global basis, and progress has not been well-documented. This paper aims to assess the extent to which the Indonesian national family planning program has evolved in a manner that is consistent with rights-based principles.

The primary source of data was five Indonesian Demographic Health Surveys undertaken from 1997 to 2017. The analyses were organized around three major categories of family planning-related human rights. Trend analysis and logistic regression were used in analyzing the data.

Indonesian women have considerable autonomy in family planning decision, reporting that family planning decisions were mainly made by themselves or jointly with their spouse. Although contraceptive method awareness and demand for family planning are high, Indonesia fares poorly with regard to informed choice in contraceptive method selection. Access to family planning services is comparatively high as judged by contraceptive prevalence, family planning demand satisfaction and unmet need for family planning. However, significant geographic and socioeconomic inequity were observed on many indicators, with eastern Indonesian provinces consistently lagging behind.

This paper focuses on married couple, as Indonesia has a restrictive policy to limiting access and information of family planning for other groups, unmarried youth in particular.

This paper makes an important contribution to document how effectively the prohuman rights policy orientation toward family planning has been translated into services.

The purpose of this study is to identify and explore the role of Islamic financing in supporting development of halal industry in Indonesia.

This research is divided into two studies. The first study uses survey-based quantitative method and the second study uses focus group discussion (FGD) method. Using a purposive and proportional sampling technique in the first study, this research collected 1,985 samples of Islamic financial products of business owners (demand-side) from all parts of Indonesia. The data were analyzed using the partial least square structural equation modeling approach. The authors also conducted FGDs, involving 35 participants from government, financial, social and education institutions (supply-side) as well as business owners (demand-side) in three separated times.

In the first study, it can be identified that literacy on Islamic finance, attitude and awareness strongly affect business owners’ intention to use Islamic financial products. It is also found that subjective norm significantly influences literacy, attitude and awareness. Interestingly, religiosity does not significantly affect attitude toward Islamic financial products. According to the FGD in the second study, this research generates several factors motivating business owners’ preference to choose conventional rather than Islamic financial products, including expensive pricing, less developed technology, bad service quality and the halal status of the products. The reason for insignificant results of religiosity on attitude in the first study is explained in the second study. Most users are utilitarians who mainly perceived the products based on the sought benefits provided by the products.

This research offers the government a road map showing the strategy to build Islamic financial ecosystem in Indonesia. The road map integrates supply-side, which includes government, financial industries, social and education institutions and scientific organizations, and demand-side, which includes business owners or entrepreneur associations.

This research provides a wide range of samples derived from business owners’ respondents of halal industry in all representative islands in Indonesia. Therefore, it gives more holistic and representative findings. In addition, the analysis in this research covers not only the demand-side but also the supply-side perspective. Lastly, this research provides an Islamic financial ecosystem model that integrates all stakeholders to improve halal industry performance as a whole.

‘Javanese culture’ often is associated with ‘patrimonialism’ at its worst, that is, as a prelude to predation. Yet a closer look at some of the well-known court-centred serat (mystical songs) and babad (chronicles) written in Central Java during the late 18th and the 19th centuries provide us with a very different picture. Pujangga (court-poets) crafted sophisticated imaginings of the negara: the State, or rather the domain of both moral and political authority. In territorial terms, they made a distinction between what the ruler could freely dispose of and what he could not alienate. Moreover, the very process of the imperial expansion of the negara under the reign of Sultan Agung (r. 1613–1646) led to the birth of a group of ‘government specialists’: the service nobility of the priyayi. This group held a view of legitimate authority running contrary to any despotic temptation: for the priyayi, exercising power was an art, a craft involving skills that had to be learnt, whereas for the para bangsawan (members of the blood nobility), power was something to be possessed by virtue of the fame of a family name. Yet, during the colonial period, Dutch Orientalists, colonial administrators and high-ranking Javanese Regents came to give a wholly distorted view of this old priyayi conception of power, turning it into the cultural alibi of imperial authoritarianism.

The purpose of this study is to shed light on how accounting, which has been recognised as a contributor to the modernity problem, has been influenced by secular anthropology, which hinges on the concept of “self”. Based on Akbar S. Ahmed’s concept of Islamic Anthropology, Islamic Accounting Anthropology (IAA) is proposed as an answer to shift the accounting paradigm.

A case study in Indonesia was conducted by studying the development of the nation’s Shariah accounting from the perspective of diffusionism as an approach to anthropology. Following the constructivist tradition, IAA, which rejects the Social Darwinism notion of the superiority of the West over the East as the basis of the evolution of civilisation, is used as tool to realise Islamic norms through synchronic-diachronic study, constructing an accounting concept and invoking accounting transformation through accounting education.

This study finds that accounting has been greatly affected by secular Western culture through education and educators as agents that find their legitimation in country policies. Standard setters have also taken the same stance by siding with the capital market. By proposing IAA, it is hoped that Islam will replace the concept of “self-interest” as the faith of accounting and promote welfare for the ummah.

The problem of modernisation lies in the newfound faith of self-interest. In accounting, self-interest is ingrained in accounting theories such as Positive Accounting Theory, Entity Theory and Agency Theory, and thus accounting has become a tool to support neoliberal society. IAA will help produce accounting that is rooted in local wisdom and necessity yet very much embedded in Islamic values.

IAA suggests that accounting education must be geared towards anthropology detached from the Orientalism-secularism concept. This shift can be accomplished by integrating IAA into the accounting education curriculum.

Based on IAA, accounting practices can be designed under the guidance of the Quran and result using a synchronic-diachronic approach. By changing the ontological view through accounting education, accounting can drive societal consciousness towards the welfare of society instead of self-happiness.

Islamic accounting and anthropology are two subjects that are rarely discussed concurrently.

This research primarily aims to find and analyse the interaction among success factors for improving the performance of Indonesia’s dairy milk supply chain. Further, this research aims to formulate the right policies for improving the performance of the chain based on the success factor that belongs to cause groups.

The paper analyses 10 success factors for improving the performance of the Indonesian dairy supply chain with the decision-making trial and evaluation laboratory (DEMATEL) method and analyses the Delphi method to formulate the right policies for improving performance.

There are four important influencing factors that directly impact the overall system, i.e. the number of dairy cattle import, national milk demand, the total number of dairy farmers and the number of dairy cattle ownership or herd size. Several alternative policies have been designed by several experts according to the influencing factors, i.e. the government assists in the procurement of imported cattle, provides financial assistance to farmers in the form of low-interest financing, improves the partnership system between farmers and dairy cooperatives, provides a reward system for the farmers and increases the level of formality of contract between the farmers and cooperatives.

Interrelationships of each success factor and the most important influencing success factors could not be generally determined because it depends on the point of view of the experts. Future research can apply the success factors proposed by this research to the different dairy milk supply chain. Then, this research used only nine experts for formulating alternative policies. Future research may repeat this method using multiple experts to justify the validity of the research. Moreover, this research only explored 21 success factors of the increase in the performance of the Indonesian dairy supply chain. Future research should consider not only the supply side and number of dairy cattle but also several success factors from the causal relationship diagram in the broader dairy milk supply chain.

This research provides essential insights for policymakers, as they have to understand and evaluate the success factors before formulating several alternative policies.

The research has revealed that the right alternative policies can be designed, as the causal factor has been known.

This research contributes to applying a combination of causal relationship diagram of System Dynamic and DEMATEL method as a qualitative and quantitative method in one integrated way through performance dairy supply chain analysis. As a result, this research draws a policy for the dairy supply chain referring to the success factor as a cause for the low performance of the Indonesian dairy supply chain.

Uneven distribution and mistarget beneficiaries are among problems encountered during post-disaster relief operations in 2010 Mount Merapi eruption. The purpose of this paper is to develop an empirically founded agent-based simulation model addressing the evacuation dynamics and to explore coordination mechanism and other promising strategies during last-mile relief delivery.

An agent-based model which was specified and parameterized by empirical research (interviews and survey) was developed to understand the mechanism of individual decision making underlying the evacuation dynamics. A set of model testing was conducted to evaluate confidence level of the model in representing the evacuation dynamics during post-disaster of 2010 Mount Merapi eruption. Three scenarios of last-mile relief delivery at both strategic and operational levels were examined to evaluate quantitatively the effectiveness of the coordination mechanism and to explore other promising strategies.

Results indicate that the empirically founded agent-based modeling was able to reproduce the general pattern of observable Internal Displaced Persons based on government records, both at micro and macro levels, with a statistically non-significant difference. Low hazard perception and leader-following behavior which refuses to evacuate are the two factors responsible for late evacuation. Unsurprisingly, coordination through information sharing results in better performance than without coordination. To deal with both uneven distribution and long-term demand fulfillment, coordination among volunteers during aid distribution (at downstream operation) is not sufficient. The downstream coordination should also be accompanied with coordination between aid centers at the upstream operation. Furthermore, the coordination which is combined with other operational strategies, such as clustering strategy, using small-sized trucks and pre-positioning strategy, seems to be promising. It appears that the combined strategy of coordination and clustering strategy performs best among other combined strategies.

The significant role of early evacuation and self-evacuation behavior toward efficient evacuation indicates that human factor (i.e. hazard perception and cultural factor) should be considered in designing evacuation plan. Early warning system through both technology and community empowerment is necessary to support early evacuation. The early warning system should also be accompanied with at least 69 percent of the population performing self-evacuation behavior for the effective evacuation. As information sharing through coordination is necessary to avoid redundant efforts, uneven distribution and eventually to reduce unmet demand, the government can act as a coordinating actor to authorize the operation and mobilize the resources. The combination of coordination and another strategy reducing lead time such as clustering analysis, thus increasing responsiveness, is seemly strategy for efficient and effective last-mile relief distribution.

Literature on coordination is dominated by qualitative approach, which is difficult to evaluate its effectiveness quantitatively. Providing realistic setting of the evacuation dynamics in the course of the 2010 Mount Merapi eruption, the empirically founded agent-based model can be used to understand the factors influencing the evacuation dynamics and subsequently to quantitatively examine coordination mechanisms and other potential strategies toward efficient and effective last-mile relief distribution.

The purpose of this study is to examine the impact of managerial ability on corporate tax risk and long-term tax avoidance using the upper echelons theory.

This study uses a quantitative method with regression models, using a sample of listed firms on the Indonesia Stock Exchange from 2011 to 2018.

The regression results report that managerial ability negatively influences tax risk and positively impacts long-run tax avoidance. Companies with more able managers have a relatively lower tax risk and greater long-run tax avoidance. The results reveal that firms with managers that possess greater abilities are more committed to long-run tax avoidance while concurrently maintaining a lower level of their tax risk. The impacts the authors report are statistically significant and robust, as proved by a series of robustness checks and additional tests.

This study only includes firms from one developing country.

The empirical results might be of interest to board members while envisaging the benefits and costs of appointing and hiring managers, as well as to the tax authority and the other stakeholders interested in apprehending how managerial ability influences corporate tax risk and long-run tax avoidance practices simultaneously.

This study proposes and tests an explanation for the impact of managerial ability on corporate tax risk and long-run avoidance simultaneously in the context of an emerging country.

The development of financial technology (fintech), especially digital payments (e-payments), aims to increase the efficiency and effectiveness of economic transactions. This study aims to see the extent to which microentrepreneurs in Indonesia and Malaysia take advantage of the existence of e-payments in developing their business and the factors that influence the adoption of e-payments.

This study uses qualitative and quantitative approach. For quantitative approach, partial least squares structural equation modeling (PLS-SEM 4.0) was used to analyze the data. Using the nonprobability convenient sampling technique, this study collected 400 respondents from microenterprises in Indonesia and Malaysia in various regions.

Most of the microentrepreneurs in Indonesia and Malaysia have used fintech platforms, especially e-wallet and ATM debit. However, for quick response code-based fintech for business transactions, most microentrepreneurs have not taken advantage of the platform. Then the results of the digital payment adoption factor also differ for each country.

This study is valuable for decision-makers and regulators. These results can be used to find a roadmap for regulators to build a digital economy, especially digital payments for microenterprises in both countries. In addition, these results can be used as a basis for making policies regarding digital payments.

To the best of the authors’ knowledge, this is the first study to compare e-payment adoption by microentrepreneurs in Indonesia and Malaysia. Indonesia and Malaysia are two countries in the Southeast Asia region that have great attention in fintech development. This study provides new insights about fintech, especially digital payments as a strategic approach in the digitalization era.

This study aims to explore and ranks the factors that might determine attitudes and intentions toward using autonomous vehicles (AVs).

The “technology acceptance model” (TAM) was extended by assessing the moderating influences of personal-related factors. Data were collected from 378 Vietnamese and analysed using a combination of “partial least squares” and the “adaptive neuro-fuzzy inference system” (ANFIS) technique.

The findings demonstrated the power of TAM in explaining the attitude and intention to use AVs. ANFIS enables ranking the importance of determinants and predicting the outcomes. Perceived ease of use and attitude were the most crucial drivers of attitude and intention to use AVs, respectively. Personal innovativeness negatively moderates the influence of perceived ease of use on attitude. Data privacy concerns moderate positively the impact of perceived usefulness on attitude. The moderating effect of price sensitivity was not supported.

These findings provide insights for policymakers and automobile companies' managers, designers and marketers on driving factors in making decisions to adopt AVs.

The study extends the AVs literature by illustrating the importance of personal-related factors, ranking the determinants of attitude and intention, illustrating the inter-relationships among AVs adoption factors and predicting individuals' attitudes and behaviours towards using AVs.

The purpose of this study is to provide the location of natural disasters that are poured into maps by extracting Twitter data. The Twitter text is extracted by using named entity recognition (NER) with six classes hierarchy location in Indonesia. Moreover, the tweet then is classified into eight classes of natural disasters using the support vector machine (SVM). Overall, the system is able to classify tweet and mapping the position of the content tweet.

This research builds a model to map the geolocation of tweet data using NER. This research uses six classes of NER which is based on region Indonesia. This data is then classified into eight classes of natural disasters using the SVM.

Experiment results demonstrate that the proposed NER with six special classes based on the regional level in Indonesia is able to map the location of the disaster based on data Twitter. The results also show good performance in geocoding such as match rate, match score and match type. Moreover, with SVM, this study can also classify tweet into eight classes of types of natural disasters specifically for the Indonesian region, which originate from the tweets collected.

This study implements in Indonesia region.

(a)NER with six classes is used to create a location classification model with StanfordNER and ArcGIS tools. The use of six location classes is based on the Indonesia regional which has the large area. Hence, it has many levels in its regional location, such as province, district/city, sub-district, village, road and place names. (b) SVM is used to classify natural disasters. Classification of types of natural disasters is divided into eight: floods, earthquakes, landslides, tsunamis, hurricanes, forest fires, droughts and volcanic eruptions.