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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 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.

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.

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 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.

The purpose of this paper is to measure and evaluate the relationship between collaborative communication, power dependence, price satisfaction, trust, supplier loyalty, and business performance.

Data used in this study were primary data which were collected through personal interviews and closed questionnaires using a five-point Likert scale ranging from 1 to 5. The sample consisted of 170 individual dairy farmer and several dairy cooperatives, which were located in Central Java Province (Boyolali and Semarang Districts) and West Java Province (West Bandung District). The study used partial least squares with the aid of the SmartPLS software program to analyze the hypothesis.

The results of hypothesis testing indicate that collaborative communication and price satisfaction had a significant positive effect on trust for Central Java and West Java Province. Meanwhile, power dependence had a significant negative effect on trust only for West Java Province. Trust had a significant positive effect on supplier loyalty for both of the two provinces. Significant positive effect of supplier loyalty on business performance was supported in Central Java Province, whereas in West Java Province, supplier loyalty had a positive but not significant effect on business performance.

The limitation of this study is related to the number of samples, the type of scale used to measure a business performance, and the focus that is only on the relationship between the fargmers and cooperative to improve the performance of cooperative without considering the role of management. So, the future research may replicate this study in another region or in the other contexts of agribusiness sector that usually depends on farmer as a producer of the raw material. It may also enhance the measurement of business performance of dairy cooperative by using a direct measure of financial performance and non-financial performance and broaden the scope of research into the role of management of dairy cooperative.

It is recommended that managers of dairy cooperatives always involve the farmers when making marketing decisions especially concerning prices, products, market, and promotion. As organizational stakeholders, their involvement is vital in determining the ability of the dairy to achieve its goals. The other recommendation is the managers of cooperatives must have a clear policy on the price of milk, and this policy should indicate the transparency and accountability. Then, regarding the long-term benefit of dairy cooperative, it is recommended for dairy cooperatives to add the value of the milk so they can access wider markets, which, in turn, will maximize returns to the members. Based on this recommendation, it is better if the dairy cooperative in Indonesia not only serves as a marketing cooperative, but also serves as a farm supply cooperative which may process or formulate the milk into a more valuable product.

The research confirms that individual dairy farmer’s loyalty can benefit the business of dairy cooperative. It may encourage more dairy cooperative to tap the good relationship with the individual dairy farmer at the initial stage of the economic growth of their business. Intensifying competition between dairy cooperatives would potentially bring even better quality and quantity of milk from the loyal dairy farmer.

Although this research used the conceptual model from the previous study, this research will make some improvement. First, it used more indicators to measure each dimension of the construct, and the investigation was slightly more complex and broader since the object of the research was represented by two regions, namely, Central Java Province and West Java Province.

The purpose of this paper is to implement the combined approach of Decision Making Trial and Evaluation Laboratory (DEMATEL) and system dynamic (SD) for examining the impacts of several elements on the implementation of green supply chain management (GSCM) practices in the furniture industry concerning the amount of wood waste resulted and the demand of wood materials.

The paper develops an SD-based model by using four approaches, i.e., “demand of furniture”, “raw material”, “revenue of furniture industry” and “the implementation of green supply chain management (GSCM) practices”.

The simulation results have shown that the best conditions occur in the fourth scenario or a combined scenario. This scenario can guarantee a decrease in need of wood and discarded wood waste due to the use of wood waste for raw material by some industries. This scenario can thus increase the share of wood waste used as raw materials.

The first limitation of this study is on the calculation of the amount of wood, which has used the data of wood products obtained from the Central Java Provincial Agency of the Environment and Forestry. This calculation has not taken into account the forest area degradation. Second, the demand for furniture has been converted from the historical data of domestic and foreign sales. Third, the model used in this study has not considered the decrease of the production cost and the increase of the profit gained by the wooden furniture small- and medium-sized enterprises that use the wood waste as part of their raw material.

This research provides essential insights into the context of implementing the policies to increase the implementation of GSCM practices.

This research can make a difference in two aspects. First, it has tested policies, not in isolation. It has simultaneously tested various combinations of policies because the furniture industry can be seen as a system with complex relationships among the elements. Second, this study can broaden scientific insights related to the use of the DEMATEL method in the SD methodology.

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.

The purpose of this study is twofold: to examine the effect of information sharing and contract on increasing the trust level in the relationship between the batik small- and medium-size enterprises (SMEs) and supplier and to examine the trust on performance of a supply chain related to the procurement of raw cotton fabric (mori).

This research used primary data collected through interviews and closed questionnaires using a five-point Likert scale. The sample included 65 people, including batik SME-owners in Pekalongan, a Central Java city. This research was conducted using partial least square (PLS) through SmartPLS 3.0 software to analyze the hypothesis.

The results of hypothesis testing indicate that trust between owners of SME and their suppliers has a significant positive effect on the performance of supply chain management (SCM). Strong trust between batik SME- owners with their suppliers will be beneficial for both parties. Among other things, trust can reduce unnecessary cost and activity, reduce the waiting time for the arrival of raw material, reduce the number of inventories and increase profit and customer satisfaction. This result has also show that information sharing and informal contract have a significant positive effect on trust between batik SME-owners and their mori suppliers. In this case, information sharing has a higher effect on trust compared to informal contract. Broader information was distributed to the batik SME-owners and their suppliers, resulting in stronger trust between them.

The limitations of this study include the relatively small sample size and data collection method used to determine the effect of trust, the number of the antecedent variables of trust and the type of scale used to measure the performance of the supply chain. Suggestions for future research may include expanding the scope of the data collection to other regions in Indonesia; adopting a dyadic approach and longitudinal research in providing evidence on the effect of trust as a component of an interactive activity along the supply chain; adding other variables that contribute towards increasing the trust between SMEs and their suppliers (such as commitment); and enhancing the performance measurement of SCM by using a direct measure of financial and non-financial performance instead of recording the perception of the batik SME-owners.

As the scale of their business increases, it is better if the batik SMEs can enhance information sharing and informal contract with suppliers to promote the development of trust. In this case, to ensure that batik SMEs will have better information sharing from their supplier, it is better if the batik SME-owners using the criteria of supplier willingness to share detailed information when they select the new supplier. Then, to increase the role of contract on trust, it is better if owner of batik SME learn to understand the written contract processes and procedures as their business scale increases.

The research confirms that information sharing, informal contract and trust between batik SMEs and their suppliers can have a positive effect on the performance of the supply chain. It may encourage more SMEs and suppliers in the batik industry to build better information sharing, informal contract and trust as a bottom line for the economic and non-economic growth of their business.

The conceptual model used in this study is original, built from past research about the relationship between information sharing, informal contract and trust on the performance of the supply chain. Besides, the selection of the sample is also original, which in this case is on the batik SMEs which have informal contracts. This case has still been rarely studied, and the research is therefore highly valuable.

This study aims to uncover apple preference and consumption in Indonesia, to disclose the risk of non-halal contamination of apples and the importance of maintaining the halal integrity of apples along the supply chain and to uncover the impacts of food miles of apples along supply chain segmentation.

This study adopted mixed research methods under a fully mixed sequential dominant status design (QUAN → qual). Data were collected through a survey in some Indonesian provinces (N = 396 respondents). Samples were collected randomly from individual consumers. The qualitative data were collected through interviews with 15 apple traders in Indonesia. Data were analysed using crosstab, chi-square and descriptive analysis.

First, Muslim consumers believe in the risk of chemical treatment of apples because it can affect the halal status of apples. Second, Indonesian consumers consider the importance of halal certification of chemical-treated apples and the additives for apple treatments. Third, the insignificance of domestic apple preference contributes to longer food miles at the first- and middle-mile stages (preference for imported apples). Fourth, apple consumption and shopping distance contribute to the longer food miles problem at the last-mile stage. Fifth, longer food miles have negative impacts, such as emissions and pollution, food loss and waste, food insecurity, financial loss, slow development of the local economy and food unsafety.

This research has implications for the governments, farmers, consumers (society) and business sectors.

This study proposes a framework of food miles under a halal supply chain (halal food miles) to reduce the risk of food miles and improve halal integrity. The findings from this research have theoretical implications for the development of the food mile theory, halal food supply chain and green supply chain.