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This study aims to identify the barriers to halal logistics implementation; rank the barriers of halal logistics implementation in food, beverage and ingredient companies; and identify the relationship among the identified barriers of halal logistics implementation to derive key managerial insights.

The paper first describes the concepts of halal logistics and discusses the barriers in implementing halal logistics from previous research studies. Then, on the basis of previous research, this study identifies 13 barriers to halal logistics implementation. The study uses interpretive structural modelling (ISM) methodology to find the rank of the barriers and also the direct or indirect relationship among those barriers. The study also uses a panel of experts consisting of the representative from Lembaga Pengkajian Pangan, Obat-obatan, dan Kosmetika Majelis Ulama Indonesia (The Assessment Institute for Foods, Drugs, and Cosmetics – The Indonesian Council of Ulama or LPPOM MUI) and the representatives from 23 food, beverage and ingredient companies to determine the rank of, and the relationship among, the 13 barriers.

The result of data processing with ISM methodology indicated that lack of support for logistic service providers and lack of customer demand and reluctance to pay for halal logistics occupied the topmost level. These barriers are affected at the lower level and have less influence than the remaining barriers. The result with ISM methodology also indicated that lack of commitment of management is the main barrier to implementing halal logistics. Moreover, according to the result of data processing with ISM methodology, this study suggests some managerial implications to overcome the barriers that hinder halal logistics implementation.

This study has several limitations. First, the scope of the study is limited to the barriers faced by Indonesian food, beverage and ingredient companies and overlooks other barriers to halal logistics encountered by other industries or other services as well as other regions or countries (i.e. other Muslim or non-Muslim countries). Future studies should attempt to uncover other industries or other services or a cross-industry comparison as well as other regions, other countries or a cross-region or cross-country comparison. The second limitation is related to the possibility of biased opinions from the experts, and the third limitation is that the identified barriers do not test in a real environment. To eliminate these limitations, future studies should involve more experts from different areas of the halal industry and should test the identified barriers to implement halal logistics in the real scenario.

This study assists managers and policymakers in understanding the order in which these barriers must be tackled and adopts a strategy to successfully implement halal logistics.

The study has indicated that the barriers to implementing halal logistics can be mitigated because these barriers have the most influence on the system identified.

This study considers the application of ISM methodology to an empirical case of barriers so as to implement halal logistics. The study uniquely contributes to the field of halal logistics because it represents initial research that has analysed the barriers of halal logistics using ISM methodology.

This study aims to determine the number of segments of green consumer behavior on toiletries products, and the tendency of transition between clusters is estimated. This study also provides recommendations based on the results.

This study used primary data collected through an online and offline questionnaire. The questionnaire was intended to identify the socio-demographic characteristics, green consumer behavior state according to the environment as well as the willingness of the respondents to purchase various toiletries products (current, less green, and greener). Prior to segmenting green consumer behavior, scale purification using confirmatory factor analysis was performed to ensure the indicators used were valid. The k-means clustering algorithm was used for the segmentation, while discriminant analysis was used to validate the segmentation result. The Markov chain approach was performed to estimate the tendency of the transition between constructed segments, where the logistic regression model was applied to predict the individual transition probability.

The clustering algorithm resulted in three segments: light green, green and dark green. The light green segment has the lowest attitude toward the environmental criteria while the members of the dark green segment have the highest attitude among the other segments. The logistic regression indicated that the tendency of individuals to stay in the current segment or move to the adjacent segment was influenced by socio-demographic factors. The one-step transition probability matrix revealed that the tendency of a particular segment to move to the greener segment was greater than to stay or even move to the less green segment. The Markov chain approach then showed that the steady-state condition will emerge after 18 steps.

This study was limited geographically and by the criteria used for segmenting the green consumer behavior; therefore, it is recommended that this study be replicated on a greater scale with more criteria. A wider geographic area could be considered, including a national study, and more criteria, such as social influences, could be considered. This study does not focus on specific toiletries products. Selecting more specific toiletries products could be considered to provide a more reliable response from the respondents. Moreover, factors around the willingness to pay for green products were not investigated in greater detail although these factors might become indicators that can distinguish between two or more segments.

This study empirically supports the theory that consumer environmentally friendly behavior can be used to appropriately categorize consumers into several segments, and thereby guide the development of a more differentiated policy approach for business and government.

Green consumer behavior may help save the environment and it will be beneficial in reducing environmental damage.

The study extends the existing literature related to green consumer behavior by segmenting the green consumer behavior based on the environmental criteria and applying the Markov chain approach to estimate the tendency of transition between segments.

This study aims to create a system dynamics simulation model to forecast the performance of small and medium-sized enterprises (SMEs) if some decision-making is executed to reduce the negative of the coronavirus disease 2019 (COVID-19) pandemic. In particular, this study will focus on SMEs that belong to the furniture industry because the furniture industry is one of the leading industries in Indonesia.

The study develops a system dynamics-based model by using three subsystems, i.e. the “production subsystem,” “demand and revenue subsystem” and “raw material (or wood supply) subsystem.”

The best scenario is the third scenario which increases the capacity to the normal situation and government subsidy during and after the pandemic. This scenario gives the best performance for industry revenue and gross domestic product (GDP). However, for the government, the most significant expenditure occurs in the third scenario. This seems a trade-off for the government whether to save the wooden-based furniture industry by encouraging the industry to continue operating during the pandemic accompanied by high subsidies or limiting the activities of the wooden-based furniture industry to prevent the spread of COVID-19 by providing low subsidies.

First, this study does not try to combine the system dynamics (SD) methodology with the other method or use a multi-methodology since SD has several limitations and the other method may have several advantages compared to SD. Second, the models used in this study do not consider the decline in forest area and quality. Third, the demand for wooden-based furniture is obtained from historical data on domestic and foreign sales and fourth, the model does not include the government budget as a constraint to make any subsidy to help the SMEs.

This study provides essential insights into implementing the policies in the world pandemic situation when SMEs face lockdown policy.

The study revealed that relevant policy scenarios could be built after simulating and analyzing each scenario's effect on SMEs' performance during the pandemic.

This study will enrich the previous study on the impact of the pandemic on SMEs and the dynamic system modeling on SMEs. The previous study discussed the pandemic's impact on SME performance and the impact's analysis in isolation from the dynamic nature of SME owners' decisions or government policy. In this study, the impact generated from the pandemic situation could be different depending on the decision and policies taken by managers from SMEs and the government.

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 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.

The purpose of this paper is twofold: first, to develop a conceptual model using the push-pull-mooring (PPM) framework to understand the switching behavior of small- and medium-size enterprises (SMEs) of batik from adopting traditional marketing to e-commerce; and, second, to test whether the PPM variables prevent or lead to the switching behavior of SMEs of batik to adopt e-commerce.

This study uses a hypothesis which is drawn from related literature, quantifiable measures variables with a 1–5 Likert scale, hypothesis testing and draws the inference about a phenomenon of switching the behavior of SMEs from traditional marketing to e-commerce from the sample of 100 owners of batik SMEs, which are located in Yogyakarta, Solo and Pekalongan. The study used partial least square with the aid of the SmartPLS software program to test the hypothesis.

The result of hypothesis testing indicates that two factors significantly influence the switching behavior of batik SMEs from physical store retailing to e-commerce. The first factor is the desire of SMEs to support the information searching behavior of their customers, and the second factor is the perception that adopting e-commerce can provide value for the SMEs. However, this study fails to prove that the attractiveness of e-commerce can significantly pull the switching behavior of batik SMEs from physical store retailing to e-commerce. Moreover, related to mooring factors, the results show that the computer self-efficacy of the SME owners as a moderating effect is not supported.

This study has several limitations. First, the samples were restricted to the SMEs of batik in three cities (Yogyakarta, Solo and Pekalongan). It is significant to conduct cross-sector, cross countries, cross-region or even cross-cultural investigations on this subject for better explanations of the results from a global perspective. Studies on cultural differences in switching behavior are supposed to accommodate to different individuals from the SME owner. Second, the study does not differentiate the sizes of enterprises; that is, no test was conducted for small-, medium- and large-size enterprises. The study only focuses on SMEs. Different empirical results may be obtained for different sizes because each enterprise size can have a different condition in e-commerce adoption. Second, this study pays more attention to the product categories of stamped batik and hand-drawn batik. Consumers can have dissimilar favorite channels to purchase other types of batik. Future research should also consider this issue.

Within all the opportunities available through e-commerce (support the information searching behavior, save the travel time and travel cost, better service quality to their customer, a lower price to their customer as well, and increase their sales), the SMEs need to enhance e-commerce activities and put it in their strategy for moving forward. On the other side, the government should have a strong interest in helping and supporting the SME through several activities.

The research confirms that e-commerce adoption may benefit SMEs. It may encourage more SMEs to move from the traditional physical store retailing to e-commerce.

Although this study uses the conceptual model from the study of Chang et al. (2017), significant differences exist between the two studies. This study uses the PPM framework in the context of the seller migratory decision, whereas in most studies, the PPM framework is used in the context of the consumer migratory decision. Moreover, most studies about the adoption of e-commerce by owners of SMEs use the theory of reasoned action, theory of planned behavior, technology acceptance model, technology, organization and environment, and unified theory of acceptance and use of technology as the framework.

The purpose of this paper is to measure and evaluate the performance of the relationships between farmers, dairy cooperatives and industrial milk processors.

Data used in this study were primary data collected through personal interviews and closed questionnaires with 1–5 Likert scale. The sample consisted of the representative of the management of 12 dairy cooperatives located in Central Java Province, representative of the management of 12 dairy cooperatives located in West Java Province and some farmers who are members of those dairy cooperatives. This study uses balanced supply chain management scorecard for measuring the performance of dairy supply chain, importance-performance analysis (IPA) for identifying the indicators that are most in need of improvement, and strength, weakness, opportunity and threat (SWOT) analysis for formulating strategic planning.

The results of balanced supply chain management scorecard combined with IPA analysis showed that the performance relationship between farmers, dairy cooperatives and industrial milk processors in West Java Province is slightly better than that in Central Java Province. It can be seen from the average value of the score of indicator, the category of each indicator and the category of the performance index of each relationship. The major weakness of the relationship between dairy farmers, cooperatives and industrial milk processors in Central Java Province lies in the different perspective (no perspective is dominant), whereas that in West Java Province is dominated by the perspective of the customer. On the other hand, the major strength of the relationship in Central Java Province is dominated by the perspective of the customer, whereas that in West Java Province is dominated by the perspective of learning and growth.

The limitation of this study is related to the number of the dairy cooperatives as the sample and the type of scale used to measure the performance of the relationships between farmers, dairy cooperatives and individual milk processors. So, the future research may replicate this study by surveying all the dairy cooperatives in Central Java and West Java Provinces. It may also enhance the measurement of the performance of the relationships by using a direct measure of each indicator in each perspective, rather than recording the management of dairy cooperative perceptions.

This research provides essential insights for the management of dairy cooperative in the context of strategic planning development. The research reveals that there is a different strategic planning for improving the performance of the relationship between dairy farmers, cooperatives and industrial milk processors in each province. It depends on the major weakness and strength of the relationships, and also, opportunity and threat faced by the dairy industry. One important thing, the management of dairy cooperative in both provinces should have strategic planning related to the use of machine milking by farmers to improve the milk quality.

The research revealed that strategic planning could be built after analyzing the internal and external conditions carefully. It may encourage more dairy cooperatives to measure and analyze the internal and external conditions at the bottom of strategic planning of their business.

Although this research only used the balanced supply chain management scorecard and IPA analysis for measuring the performance, and SWOT analysis in formulating the strategic planning for improving the current performance, it will make a difference. First, instead of measuring the performance of dairy cooperatives, this research measured the performance of the relationships between dairy farmers, cooperatives and industrial milk processors. This way, the dairy cooperatives were only sources of data collection. Second, the investigation was quite complicated since the objects of the research were represented by the relationships between farmers, dairy cooperatives and industrial milk processors in Central Java Province and West Java Province.

This study aims to identify the suitable indicators and their scale for measuring the level of logistic halal implementation and then develops the measurement system based on those indicators and scales. Moreover, this research also applies the measurement system in food, beverage, and ingredient companies.

This study collected data through web-based closed questionnaires and short telephone interviews. This study succeeded in obtaining seven valid data sets from filling out validation and analytical hierarchy process questionnaires by a panel of experts. This study also obtained 97 valid data sets from filling out the questionnaire about the current condition of each indicator related to halal logistics (HL) implementation. Then, the framework for measuring HL implementation was designed based on the multi-attribute value theory approach.

The aggregate value of HL implementation in ingredient companies belongs to the excellent implementation category. In contrast, the aggregate value of HL implementation in food and beverage companies only belongs to the good implementation category. Then, according to the size of the company, the large-sized companies have the higher means of the aggregate value of HL implementation for preferred indicators than small- and medium-sized companies. However, all size companies belong to the good implementation category.

This research has several limitations. The preferred indicators are only measured by the Likert scales. Future research may benefit from inducing the qualitative approaches to measure the condition of each indicator better. Secondly, this research only consisted of 97 food, beverages and ingredients companies. Thirdly, this research only measured the HL implementations to a particular sector or industry. Future research could benefit from replicating the work in similar and dissimilar contexts, adding the sample size and comparing the level of HL implementation between Muslim and non-Muslim companies, and moreover, enhance the measurement of HL implementation by including consumers and other actors involved, such as the government.

This research provided a basis for helping the government and policymakers understand and evaluate non-performing indicators in HL implementation before formulating several actions.

Understanding the current HL implementation conditions could facilitate a more effective response in designing some appropriate alternative actions.

This research contributed to measuring HL implementation with a new indicator, a new scale and a new object in an empirical case of food, beverages and ingredient companies in Indonesia.

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.

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.