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This study aims to examine the role of personal and subjective norms in predicting waste sorting, an increasingly relevant pro-environmental behavior.

This study obtained data from a sample of 300 respondents from three Indonesian cities. Purposive sampling was employed to obtain information from specific segments of Indonesian population. The analysis consisted of a two-stage procedure including confirmatory factor analysis and covariance-based structural equation modeling.

Results demonstrated that both subjective and personal norms significantly and directly predict waste sorting behavior (WSB) bypassing intention to behave.

The fact that norms held by individuals are able to single-handedly drive pro-environmental behaviors implies that previous studies and social marketing campaigns may have overstated the role of intention.

In designing marketing communication programs promoting WSB, this paper argues that targeting normative tendencies of the audience may provide a more effective strategy than focusing on explicit pro-environmental intentions and attitudes of the public.

This study provided a new experimental test and confirmation of the role of subjective norms, the normative component of the theory of planned behavior and of personal norms, the normative component of the norm activation theory, in predicting WSB.

The purpose of this paper is to investigate the degree to which the different attributes of Islamic banks in Indonesia are preferred by the community.

This paper uses a quantitative approach by applying Rasch analysis to measure the relative importance of 18 attributes of Islamic banks to the community. The data were collected by questionnaires, which were distributed online and completed by 345 respondents. In addition to the Rasch model, the preference of attributes was measured by a statistical inference test, using “SPSS” software, which employs binary logic regression related to the agreement between the performance of attributes and expectations.

The instrument used in this study showed good reliability, and its validity fits the expected model. The results show that the assurance of financial security, friendliness and the application of Islamic principles in their operations are the most important attributes to be considered when people choose an Islamic bank. The degree of importance placed by the community on the various attributes of Islamic banks will have an effect upon the actual and perceived quality of those attributes. An increase in the community’s preference for a particular attribute will eventually be followed by an increased agreement between the actual performance of that attribute and the community’s expectation.

The varied profiles of individual respondents were not explored fully: this research relies solely on quantitative analysis. So, there is no empirical information to inform the Islamic banks as to which segments of the community should be the focus of their promotional activities.

The use of Rasch analysis to measure the community’s preference for various attributes of Islamic banks has not been done previously.

This study aims to establish an assessment model to measure big data readiness in the public sector, specifically targeting local governments at the provincial and city/regency levels. Additionally, the study aims to gain valuable insights into the readiness of selected local governments in Indonesia by using the established assessment model.

This study uses a mixed-method approach, using focus group discussions (FGDs), surveys and exploratory factor analysis (EFA) to establish the assessment model. The FGDs involve gathering perspectives on readiness variables from experts in academia, government and practice, whereas the survey collects data from a sample of selected local governments using a questionnaire developed based on the variables obtained in FGDs. The EFA is used on survey data to condense the variables into a smaller set of dimensions or factors. Ultimately, the assessment model is applied to evaluate the level of big data readiness among the selected Indonesian local governments.

FGDs identify 32 essential variables for evaluating the readiness of local governments to adopt big data. Subsequently, EFA reduces this number by five and organizes the remaining variables into four factors: big data strategy, policy and collaboration, infrastructure and human resources and data collection and utilization. The application of the assessment model reveals that the overall readiness for big data in the selected local governments is primarily moderate, with those in the Java cluster displaying higher readiness. In addition, the data collection and utilization factor achieves the highest score among the four factors.

This study offers an assessment model for evaluating big data readiness within local governments by combining perspectives from big data experts in academia, government and practice.

This study aims to investigate the factors that influence the use of e-government services among male and female samples, aiming at gaining a deeper understanding of how to promote digital inclusion and maximize the benefits of digitalization.

This study uses binomial logistic regression modeling on two data sets: a nationwide survey at the individual level of 8,854 usable samples conducted in 2019 and village potential statistics.

The survey indicates low adoption and use of e-government services among both males and females. The statistical analysis further reveals that although there might be some variations in the influencing factors between the genders, the overall patterns are similar. These findings suggest that the low adoption and use of e-government services among males and females can be attributed to factors such as misperceptions about internet-based services, resulting in low motivation to use the services, inadequate internet connectivity, affordability, limited digital skills and exposure to harmful online content.

This study conducts a gender-disaggregated analysis to determine whether the antecedents of males’ decisions to adopt e-government services differ from those of females. Such a study is underrepresented in the extant literature, particularly in the context of e-government service use.

This study aims to analyze the capacity of ecotourists to exhibit behavior that aligns with the ecotourist scale using the Rasch model measurement.

The data was gathered using an online survey incorporating the five tenets of ecotourism using a seven-point rating scale on domestic tourists in Indonesia. Descriptive statistics, cross-tabulation and Rasch model measurement were used to analyze the data.

The ecotourist identification scale measurement items were reliable and satisfactory. The most challenging behavior for ecotourists was using the services of a tour guide who was concerned about the environment. Meanwhile, respecting cultural differences around the tourist destination was the most accessible behavior. Most respondents demonstrated a fit response pattern and satisfactorily met the validity and reliability criteria.

This study did not compare ecotourists’ ability to behave by the type of conservation visited as its limitation. However, it provides a significant methodological contribution to developing a measurement of ecotourist behavior implemented in well-established behavioral theories.

Integrating ecotourism into education, incentivizing eco-friendly tourism practices, promoting awareness, supporting local businesses, respecting local values and ensuring safe travels.

To the best of the authors’ knowledge, this study is the first of its kind to be conducted in Indonesia. It uses a unique and innovative method to reveal the unobserved variables in ecotourists’ behavior. The findings confirm that tourists’ behaviors align with the five tenets of ecotourism.

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.

First, the purpose of this paper is to develop some policies as an alternative scenario to increase the performance of the Indonesian dairy milk supply chain so it can fulfil the target of the government. Second, this study aims to find the best alternative scenario based on the performance resulted from the simulation.

The paper develops a system dynamics-based model by using six approaches, i.e. “population and consumption of dairy milk”, “national milk production”, “dairy cattle feed”, “dairy cattle population”, “profit gained by the dairy farmer”, and “government policy”.

There is no best scenario; however, the combined scenario can give the better condition to achieve the targets set by the government.

The limitations of this study include: the relationship between the levels of welfare of farmers and the desire being a dairy farmer is not modelled; the quality of milk is only determined by the content of fat and protein in one litre of milk, and the level of milk consumption per capita increases naturally without any intervention or policy from the government.

This study provides essential insights into the context of implementing the policies in the Indonesian dairy supply chain.

The research revealed that good policies scenario could be built after simulating and analysing the effect of each scenario on the performance of a dairy supply chain carefully.

This study does not test one policy in isolation. It simultaneously tests various combinations of policy that related to dairy cattle import, operational assistance for dairy cooperative and dairy farmer that may help maximise the performance of the Indonesian dairy milk supply chain.

This study investigates the development of absorptive capacity. Using an integrated cognitive learning perspective, this study provides empirical evidence about the conceptual absorptive capacity model through examining the full process step by step. Two groups of moderating variables were studied—namely, social integration and appropriability—to examine their impact on the process.

This study employed a longitudinal study from a community service program (Kuliah Kerja Nyata) at Universitas Gadjah Mada, Yogyakarta, Indonesia, by using surveys at the beginning and the end of the project. Of 492 teams from 2,444 students participated in the study. Each individual within a team had at least one project assigned to him/her during the project. The absorptive capacity process was examined through six consecutive models and analysed using hierarchical linear modelling. The moderating variables were tested using the Moderated Regression Analysis and Wald tests.

The study confirms the full cycle of absorptive capacity as an independent, dynamic and complex process; it involves acquiring, assimilating, transforming and exploiting sequencing variables from the individual level to the team level and vice versa using feed-forward and feedback mechanisms adopted from the 4I framework of organisational learning. However, the roles of the moderating variables are still inconclusive due to some possible factors, which were also reflected by the U-phenomenon.

This study provides vital support to the learning theory as well as to the organisation learning concept. This study also reveals empirical evidence about the unsupported moderating variables behave during a project cycle, such as what they function, how they evolve and what we should do about the moderating factors during a project. The findings of this study provide practical suggestions and highlight areas for future research.

This study aims to create the causal relationship between transportation behavior to Karimunjawa, the number of tourists and the amount of CO2 produced; calculate the reduction of CO2 emissions from the transportation to Karimunjawa based on several proposed policy scenarios; and formulate the managerial implication and recommendation to support the implementation of several proposed policy scenarios.

This study develops a system dynamics‐based model by using three sub-systems, i.e. “the number of tourist sub-system,” “the switching behavior of tourist travel sub-system” and “the CO2 emission sub-system.”

The simulation results have shown that, under the current situation, tourist travel behavior should be changed to maximum condition to get the minimum CO2 emission. Improvement of the behavior of tourist in selecting the mode of transportation and the departure point of mini-tour bus and ferry are an effective way to reduce the CO2 emission.

This study only considers limited variables as the driver of the level of change of the capacity of Karimunjawa and the road as well as the variables as the driver of tourism growth. This study only focuses on CO2 emission from the direct impacts of tourist travel; this study does not consider the indirect impact of tourism activity on CO2 emissions. International air travel is not included in the present study.

From a managerial perspective, this study demonstrates that change in the tourist travel behavior is generally not effective in triggering CO2 emission reduction, unless it is accompanied by the strict restriction policy related to the tourist route.

This study has the potential to raise societal awareness that the causality of tourist growth and CO2 emissions should be seen as the impact of tourist travel behavior. In this case, to modify the travel behavior, tourist needs to change their mode of transportation to more sustainable transportation.

This paper intends to fill the literature gap of the effect of tourism growth from two perspectives, namely, tourist travel behavior and environmental. The modeling of tourist transport and CO2 emission will provide an overview of the selection of the problem-solving mode for tourist transport that can give a significant contribution to the greenhouse gas emissions reduction to the environmental.

This study aims to develop a system dynamics (SD) simulation model to forecast the performance of the Indonesian halal industry to verify whether decision-making has been properly executed to increase the contribution of the success factors.

This study establishes a SD-based model using three subsystems, namely, the halal assurance and certification process, the government and the export–import subsystem.

The best scenario is the third scenario or the combined scenario of providing facilities to accelerate the micro-, small- and medium-sized enterprises (MSMEs), carrying out halal certification, reducing the time for the certification process, increasing the number of the halal auditor and increasing the awareness from enterprises (both MSMEs and large enterprises) to carry out halal certification because of the internal and external motivations.

First, the demand for certification of the type of food product is acquired using the number of SMEs and large companies. Second, the model does not include the government budget as a constraint.

This study provides essential insights into implementing the best policies that can increase the performance of the halal industry.

This study revealed that relevant policy scenarios could be built after simulating and analyzing each scenario’s effect on the halal industry’s performance.

This study will enrich the scientific insight related to institutional theory and resource-based view, as those theories identify success factors associated with the performance of the halal food industry. This study will also enrich the scientific insight related to system dynamic methodology, as it is used to model the performance of the halal industry.