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This paper aims to evaluate the collaboration quality performance of sugar company Z and its stakeholders (farmers and distributors) by considering the sustainability aspects. This assessment shall be able to integrate qualitative and quantitative factors in the model, which is critical in sugar supply chains involving multi-stakeholders.

Integration of quality function deployment (QFD), the fuzzy analytical network process (FANP) and the data envelopment analysis (DEA) is administered to assess the efficiency score of each stakeholder involved. The evaluation encompasses collaboration behaviour factors since the input of collaboration activities will result in sustainability aspects such as revenue, green house gas (GHG) emissions and social impact. The analysis has been conducted in two scenarios, those are the basic scenario by utilising original data and the extended scenario by using projection data.

The result clarifies that the most influential behaviour factor in the collaboration activities is commitment (0.116), while the least important behaviour factors are power (0.008) and adaptation (0.008). Furthermore, by using the extended scenario, the overall efficiency for each benchmarking is higher compared to the condition before the improvement (basic scenario).

The result of this study is only relevant to the particular sugar supply chain and involving limited sustainability variables. Therefore, in a further study, more variables such as technical and financial aspects could be explored further in the assessment process.

The result of this study is available for each stakeholder and can be fundamental for the constant improvement in sustainable supply chain (SSC) practices. It shows that an improvement of one stakeholder will positively impact the entire system.

Smallholders and sugarcane farmers will recognise the significance of collaboration behaviour. Thus, they can enhance their mutual benefits by using the existing resources.

This paper arranges for a practical contribution by implementing advanced assessment methods in the sugar supply chain by taking into account the economic, environmental and social aspects. This comprehensive assessment process in the sugar supply chain is the novelty of this paper.

The purpose of this paper is to develop and demonstrate a driving factors-based approach for identifying and ranking performance indicators in integrated sugarcane supply and processing systems (ISSPSs) on an on-going basis.

The research included a literature review, development of an approach, testing of the approach in four ISSPSs and checking the tests’ results for consistency with Southern Africa sugar industry benchmarks and external knowledge of the four ISSPSs.

The research offers a systematic approach for identifying and ranking performance indicators based on existing driving factors in ISSPSs. Results obtained from the application of the approach in four ISSPSs are consistent with industry benchmarks and external knowledge of the ISSPSs.

The approach was tested in only four ISSPSs. It is recommended that the approach should be tested in other complex systems to further validate its effectiveness. It is further recommended that the approach should be systematically compared with existing approaches that are used for identifying and ranking performance indicators.

This research is of academic value and of practical value to practitioners in ISSPSs. The research blends knowledge from network theory and cause-and-effect analysis to come up with a systematic approach for identifying and ranking performance indicators in ISSPSs on an on-going basis. Further, the approach identifies and ranks performance indicators as part of one data set. This approach has never, to the authors’ knowledge, been used in agro-industry before.

The purpose of this paper is to propose an instrument to evaluate the collaboration quality of sustainable supply chains by considering collaboration behaviour and sustainability factors.

The proposed model integrates Quality Function Deployment (QFD), Fuzzy Analytical Network Process (FANP) and Data Envelopment Analysis (DEA) to assess the efficiency score of each stakeholder involved. A case of a sugar company in Indonesia was analysed as the illustration of the application of the model.

The integrated QFD-FANP-DEA method enables to incorporate collaboration behaviour and sustainability factors in a single assessment model. The results of the case study showed the benchmarking results associated with the performance variance of stakeholders and the number of samples.

Future research could consider other DEA approaches, extend the research by simulating a different number of scenarios and evaluating the improvement/deterioration, and expand the scope of collaboration.

Each stakeholder will be able to obtain the collaboration assessment results, and the improvements suggested by the model.

Smallholders and farmers will be able to increase their benefits by using the existing resources.

This paper provides a methodological contribution by introducing new collaboration quality assessment methods that can accommodate any variance in multi-stakeholders, involve qualitative and quantitative measurements, and benefit all stakeholders.

This paper aims to explore the complexity that characterises sugarcane production and supply systems by applying soft systems methodology (SSM) and the viable system model (VSM) based on an interpretive systemic approach. It seeks to understand the extent to which these methodologies may assist in exploring such a complexity.

SSM and VSM were combined with qualitative research methods to explore two sugarcane production and supply systems’ potential improvement possibilities.

Trust, transparency and communication shortcomings, poor miller–grower relationships, deficient systemic commitment, insular view, milling inefficiencies, sugarcane quality, quantity and consistency shortcomings, the industry setup and the lack of a common driver are core issues. SSM and VSM facilitated a thorough understanding, yet could not address detected deficiencies.

The research was restricted to two milling areas, and only SSM and VSM were applied.

Presented findings can be used as a basis to facilitate improvement in sugarcane production and supply systems and to advocate the continuity of holistic considerations.

Neither SSM nor VSM have been applied in the sugar industry context. The sugarcane production and supply systems have been holistically investigated, and soft issues have been considered.

Not many researchers have attempted to numerically quantify a supply chain’s degree of leanness or agility. Although focusing predominantly on food, the purpose of this paper is to propose a simple and universal methodology to quantify the degrees of leanness and agility at any point within any supply chain.

Daily processing capacities of stochastic model runs and real supply chain data were projected onto a standardized Euclidean surface. Indexes that calculate, amongst others, the agility, leanness, baseline production and ceiling conditions were derived.

The indexes were often well correlated across the various supply chains. Leanness correlates negatively with agility, as can be expected, however, these attributes do not stand opposed to each other. Most supply chains seem to exhibit both lean and agile attributes simultaneously. Sugar, various types of tomatoes, avocado and onion supply chains are discussed and compared. Although a large amount of data were analysed, there exists an opportunity to widen this study significantly.

This paper presents a unique and simple approach to quantify the degree of supply chain leanness and agility. Although these terms are often used, only a few authors have made attempts to quantify these attributes and in most cases the approaches are relatively cumbersome. The relatively simple indexes create an opportunity for supply chain management to measure, evaluate and communicate their strategies along the supply chain and between different chains.

This paper identifies, evaluates and structures research that focuses on “collaboration” (C), “trust” (T) and “performance” (P) in the agri-food supply chain (AFSC) and reveals its intellectual foundation. It aims to synthesize research published over a period of 18 years (from 2003 to the beginning of 2020) and provide a platform for practitioners and researchers in their efforts to identify the existing state of work, gaps in current research and future directions in the area of collaboration–trust–performance (CTP) in the AFSC.

Prior to carrying out a bibliometric analysis (BA), literature search was performed, identifying 69 related papers focused on CTP in the AFSC. The content of the papers was further analysed in a systematic literature review (SLR) with regard to the subject area, theoretical lenses, research methodology, supply chain (SC) category and other relevant categories.

CTP in the AFSC are based on a relationship marketing and operations management fundament but show specific particularities. AFSCM is a multi-dimensional design task, and collaboration is considered a necessity, whereas trust significantly affects the AFSC effectiveness. The paper also develops a conceptual CTP model, which shows the interrelations between all identified construct variables, where the authors were able to see also bi-directional relations. Furthermore, the paper presents viable future research opportunities, e.g. focus on organic food chains or multi-actor analysis.

Results of the conducted BA refer to the CTP discussion within a preselected number of peer-reviewed academic articles, which are provided by the WoS CC (Web of Science Core Collection) database.

CTP measurements within the AFSC context are a relevant subject with increasing academic interest in the area of agricultural economics as well as operations and supply chain management (SCM). Therefore, further studies are necessary to develop the related theory and ascertain the practical implications of collaboration, trust and performance among members in the consistently complex AFSC.

CTP have been recognized as important factors for designing a sustainable SCM strategy, particularly in the case of the AFSC. However, although previous studies have addressed the AFSC, there is insufficient knowledge regarding all three pillars (CTP) and how they enable successful AFSCM. The originality of this paper lies in systematically mapping the intellectual base of CTP research and providing path forward for research in AFSCM.

Sugar from cane remains an important economic contributor in many countries. A lack of collaboration has been identified as a key problem in many of these regions. To date, few sugar researchers have exploited the valuable supply chain collaboration knowledge available in the literature, such as the Supply Chain Collaboration Index (SCCI). This paper seeks to address these issues.

Qualitative and quantitative data were collected from three sugarcane milling areas. The SCCI was contextualised from a psychological perspective and used in the quantitative data analyses. A special objective was to raise a number of pertinent questions, which would fast track stakeholders to a new level of collaboration.

Many relationships in the supply chain remain relatively positive. The main attributes of concern are stability, reliability, trust, personal relationships and communication. A lack of these attributes causes fragmentation, opportunism and a desire to over‐control. Mutuality and communication are key leverages in the system.

There is a need to understand how collaboration could be enhanced when stakeholders hold different balances of power. This study is still limited to sugarcane milling in South Africa.

This paper demonstrates a partially quantitative research methodology to understand collaboration in a food supply chain. The authors also propose a tool to help industry stakeholders to resolve current problems.

The psychological profiling of SCCI attributes and subsequent correspondence analyses is original. A framework of collaboration questions combined with Kepner‐Tregoe Problem Analyses is unique. These tools are generic to any agricultural supply chain.

The supply chain agility (SCA) is becoming a source of competitive differentiation but debate on its antecedents which can result in optimal firm performance is still non-pervasive in the literature. Taking this gap into consideration, the current research aimed at investigating various enablers of supply chain agility of Pakistani pharmaceutical industry.

The data were collected from 204 top executives working in different supply chain functions including planning, supplying, operations and purchasing in national and multinational pharmaceutical companies in Pakistan.

Through serial-mediation model, results revealed the strength of various SCA enablers, along with the mediating roles of delivery dependability.

This study adds in the literature on how various supply chain enablers and competencies help the organizations to achieve supply chain agility and performance, especially in a developing country.

The purpose of this paper is to introduce the viable system model (VSM) as a valuable tool to the food industry. A sugarcane supply chain was used to evaluate VSM's applicability to the food industry by exploring how VSM can help to understand its complexity.

VSM and qualitative research methods were combined in an interactive manner to produce a VSM diagnosis.

The VSM diagnosis highlighted that while continuity of the system is not at risk, many improvement opportunities exist. For example, the local mill management lacks autonomy, essential operational measurement cannot be realised, coordination is deficient and a vision or identity for the mill area and a joint effort to engage in strategic considerations is missing. Miller-grower fragmentation surfaced as one cause of these shortcomings.

Although VSM revealed shortcomings, it was unable to facilitate interventions for improvement. VSM's capacity in dealing with shortcomings should be strengthened and the merit of VSM in other food-related supply systems should be investigated.

Millers and growers need to become genuine partners and work jointly on the issues that challenge the system to realise the full potential that is embedded in the system.

VSM has not been applied in the sugar industry context and the amount of researches that explore sugarcane supply chains holistically is limited.

This paper aims to explore the antecedents and performance outcomes of supply chain integration in the agri-food industry in Latin America, a context that the literature on supply chain management has not extensively addressed. The quinoa supply chain, an industry that has encountered a boost in market demand in the past year, is selected as the unit of analysis. Supply chain integration dynamics are analyzed to provide recommendations about integration strategies and benefits in the agricultural sector.

A conceptual model was designed in this study, which includes the drivers (i.e. trust and commitment) and outcomes (i.e. operational and economic performance) of supply chain integration. The relationships were verified through a unique survey, the data of which were collected from 79 respondents operating at different levels of the Peruvian quinoa supply chain (i.e. suppliers, producers and customers). The proposed hypotheses were tested through the partial least squares (PLS) regression.

The results underscore the relevance of trust and commitment as enablers of supply chain integration initiatives in the agri-food industry. These factors are particularly essential for involving the farmers who are the most upstream actors in the supply chain and characterized by unstructured organizations. A high level of integration in these types of supply chain enhances the capacity to improve operational performance, which in turns positively affects the main economic indicators.

This study contributes to the discussion of supply chain integration in the agri-food industry, which remains unexplored thus far. It relies on a multitier collection of responses, which is extended to all the levels of the quinoa supply chain, thereby providing the study with a unique depth of analysis. Furthermore, this work contributes to the ongoing discourse on the performance impact of supply chain integration, which several SCM scholars have recently questioned.