Budi Setiawan, Purwanto Purwanto, Wipsar Siwi Dona Ikasari and Suryadi Suryadi
This study aims to extend the Theory of Planned Behavior (TPB) with the Norm Activation Theory (NAT) and apply these two theories to explain Gen Z’s intention to reduce household…
Abstract
Purpose
This study aims to extend the Theory of Planned Behavior (TPB) with the Norm Activation Theory (NAT) and apply these two theories to explain Gen Z’s intention to reduce household food leftovers.
Design/methodology/approach
Primary data were collected online from 386 respondents, selected through a convenience sampling technique from June to August 2023. Established indicators measured each construct adequately, and hypotheses were examined by using a structural equation model with robust maximum likelihood estimation.
Findings
Attitude toward behavior, perceived behavioral control and personal norms built by awareness of consequences and ascription of responsibility were proven to be able to form the intention to reduce household food leftovers. Extending the TPB with the NAT revealed that intention was built based on attitudinal belief, control belief and a feeling of moral obligation that activates personal norms.
Research limitations/implications
Respondent validity needs to be strengthened; injunctive and descriptive norms are still integrated, and the translation of intention into action is yet to be examined
Practical implications
Social marketers boosted behavior change campaigns among Zoomers by emphasizing moral responsibility, promoting awareness and favorable behavioral beliefs through tailored messages and highlighting the ease of reducing household food leftovers.
Originality/value
This study bridged existing research gaps by extending the TPB with the NAT in the context of household routine consumption practices. It offered valuable insights for promoting responsible consumption and reducing household food leftovers among the youth.
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Budi Setiawan, Adi Zakaria Afiff and Ignatius Heruwasto
This study aims to examine the role of personal and subjective norms in predicting waste sorting, an increasingly relevant pro-environmental behavior.
Abstract
Purpose
This study aims to examine the role of personal and subjective norms in predicting waste sorting, an increasingly relevant pro-environmental behavior.
Design/methodology/approach
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.
Findings
Results demonstrated that both subjective and personal norms significantly and directly predict waste sorting behavior (WSB) bypassing intention to behave.
Research limitations/implications
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.
Practical implications
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.
Originality/value
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.
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Budi Setiawan, Morita Panduwangi and Bambang Sumintono
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.
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Originality/value
The use of Rasch analysis to measure the community’s preference for various attributes of Islamic banks has not been done previously.
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Kasmad Ariansyah, Ahmad Budi Setiawan, Alfin Hikmaturokhman, Ardison Ardison and Djoko Walujo
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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Kasmad Ariansyah, Ahmad Budi Setiawan, Darmanto, Daru Nupikso, Syarif Budhirianto, Dayat Hidayat and Alfin Hikmaturokhman
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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Budi Setiawan, Umi Muawanah, Addin Maulana, Fauziah Khoiriyani, Marhanani Tri Astuti and Imam Nur Hakim
This study aims to analyze the capacity of ecotourists to exhibit behavior that aligns with the ecotourist scale using the Rasch model measurement.
Abstract
Purpose
This study aims to analyze the capacity of ecotourists to exhibit behavior that aligns with the ecotourist scale using the Rasch model measurement.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Practical implications
Integrating ecotourism into education, incentivizing eco-friendly tourism practices, promoting awareness, supporting local businesses, respecting local values and ensuring safe travels.
Originality/value
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.
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Setiawan Budi Utomo, Ratih Sekaryuni, Agus Widarjono, Achmad Tohirin and Heri Sudarsono
The purpose of this study is to identify and explore the role of Islamic financing in supporting development of halal industry in Indonesia.
Abstract
Purpose
The purpose of this study is to identify and explore the role of Islamic financing in supporting development of halal industry in Indonesia.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.
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Aries Susanty, Arfan Bakhtiar, Nia Budi Puspitasari, Novie Susanto and David Kurnia Setiawan Handjoyo
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…
Abstract
Purpose
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.
Design/methodology/approach
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”.
Findings
There is no best scenario; however, the combined scenario can give the better condition to achieve the targets set by the government.
Research limitations/implications
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.
Practical implications
This study provides essential insights into the context of implementing the policies in the Indonesian dairy supply chain.
Social implications
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.
Originality/value
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.
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Andy Susilo Lukito-Budi, Nurul Indarti and Kusdhianto Setiawan
This study investigates the development of absorptive capacity. Using an integrated cognitive learning perspective, this study provides empirical evidence about the conceptual…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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Aries Susanty, Nia Budi Puspitasari, Singgih Saptadi and Shinta Devi Siregar
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…
Abstract
Purpose
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.
Design/methodology/approach
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.”
Findings
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.
Research limitations/implications
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.
Practical implications
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.
Social implications
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.
Originality/value
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.