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The purpose of this paper is to examine the role of power on supply chain performance (SCP) in the context of small and medium sized agribusiness enterprises (SMEs). Contrary to most of previous studies, which collect and analyze data from one side of a relationship dyad using a focal firm approach, a matched triad approach was employed in data collection and analysis.

Empirical data was collected from 150 agribusiness supply chain members from the maize supply chain in Uganda. Analysis was done using multi-group analysis and structural equations modeling.

Results highlight the differences in the perception of power use and how it influences SCP. The differences in perception suggest the existence of power asymmetry amongst supply chain members. This work contributes to the ongoing debate concerning the use of triad as a unit of analysis as opposed to a firm or a dyad.

This study only focused on one commodity chain in one country, which can limit the broad application of the findings.

The novelty of this work lies in fact that the authors assess perception of power amongst supply chain members in a triadic context, a perspective that has not been adequately tested in agribusiness supply chain management studies before.

The objectives of this paper were twofold: to explore if there are differences in the perceptions about supply chain performance (SCP) and relationship quality (RQ) among traditional food supply chain members, and to examine the influence of individual relationship variables and aggregated relationship quality on SCP in the traditional food sector.

The survey was conducted in a triadic context with 189 supply chain members (62 suppliers, 65 focal companies and 62 customers) of 65 traditional food supply chains (cheese, olive oil, meat products, brandies and liqueurs, wine and honey) in Croatia. The influence of individual relationship variables and aggregated RQ on perceived SCP was tested using regression analysis.

It was found that there were no significant differences in the perception of overall SCP and RQ among supply chain members. It was identified that aggregated RQ and all individual relationship variables (trust, commitment, economic satisfaction, non-coercive and coercive power, reputation and conflict) have a significant influence on perceived SCP of the traditional food supply chains.

This study provides a systematic approach to investigate the SCP and supply chain RQ in the traditional food sector. The findings suggest that managers should not neglect any aspect of supply chain relationship to keep high SCP and to be competitive on the market.

This multiple supply chain study makes an original empirical contribution to the supply chain and network management literature by using a triadic approach to investigate RQ and SCP. The influence of individual RQ constructs and aggregated RQ on traditional food SCP examined in this study has not been explored thus far. This study also makes an original empirical contribution by investigating RQ and SCP in the traditional food sector, which has received little attention recently.

Measuring chain performance which extends beyond supplier–buyer interface is of paramount importance in tracking and tracing the ineffectiveness and inefficiency of the entire chain. In response to chain inefficiencies, key performance indicators need to be assessed at different chain levels. Knowledge amongst chain members and evident research on the chain members’ assessment of the chain partners’ contribution to their individual chain performance is equivocal. The purpose of this study is to investigate perceived performance contribution of bilateral relationships of each chain member to its chain partners’ performance across the dairy sector.

The research was conducted in a dairy agri-food sector in Uganda. A total of 115 triad chains (three matching chain members) were obtained during the period of January to April 2016. Using simple random sampling, the dairy farmers (first suppliers), the cooperative supply managers (second suppliers) and the processors (buyers) were surveyed. Means and standard deviations presented descriptive findings. Furthermore, Kruskal–Wallis and Mann–Whitney U tests were used to assess the differences and similarities of the perceived performance contribution of the individual chain partners.

The results revealed that each chain members’ perception of chain performance contribution toward the individual chain performance is relatively high. Further, it was found that there were significant differences between the chain members about the perceived chain performance contributions. However, within the internal chain analysis, no significant differences were observed.

Although limited to a single agri-food sector within the Ugandan dairy sector, the findings support evidence from similar agri-food chains worldwide.

Literature shows shortcomings in measuring chain performance at three chain levels. Therefore, this shift from single or dyad to triad chain analysis provides new insights into the field of agri-food chains and supply chain performance in particular. It also provides important empirical results on how each chain member contributes to the chain partners’ performance.

The purpose of this paper is to analyze the influence of chain governance on chain performance among the chain members.

The survey was conducted in a triadic context with 345 chain members (115 dairy farmers, 115 dairy cooperative managers, and 115 processors) of the dairy sector in Uganda. Data collection was performed through simple random sampling by survey questionnaires with the chain executives. SEM was used for data analysis.

The results revealed several chain governance structures (spot market, relational, contractual and mini integration) confirmed the hypothesized correlations on chain performance at different chain levels. The authors found a positive influence of relational governance on chain performance for all the chain members; however, the effect is stronger at the first supplier chain level.

This triadic chain approach makes an original contribution to the chain governance structures and chain performance literature in the supply chain context. Studies analyzing all aspects of chain governance structure and chain performance at three chain levels are limited.

The purpose of this paper is to describe the volume and quality of information and communication channel use at various stages of the malt barley value chain (MBVC) in Ethiopia and to investigate how metrics of these variables influence the extent of integration of the chain.

The study is based on survey data collected from 320 farmers and 100 traders and interview responses compiled from 76 respondents. Descriptive statistics and ordered logistic regression were used for data analysis.

The descriptive statistics show a lower volume and poor quality of information is being shared at farmer-trader interface and that value chain integration (VCI) is weak at all studied interfaces. Results of ordered logistic regression show that information volume and quality positively influence VCI, whereas a positive relationship between channel use and VCI was found only at farm level interfaces. Evidences found suggested that inconsistent information systems, lack of information sharing plans, low level of members’ awareness about the value of information, and lack of trust to share information were factors that inhibited information sharing in the MBVC.

The study offers pioneering evidence of the relative role of information volume and quality and channel use as factors that influence the extent of integration of the value chain.

A good supply chain relationship quality (RQ) is a crucial precursor for any stable exchange relationship which ensures relationship continuity. Although empirical research suggests that strengthening RQ improves supply chain performance (SCP), most studies have focused on dyadic business relationships. To fully understand the relational behaviour of a firm embedded in a supply chain, we need to look beyond the dyad into triads. The purpose of this paper is to investigate how SCP is influenced by RQ in a triadic agribusiness supply chain.

Evidence is drawn from a quantitative survey of 150 agribusiness firms in the maize supply chain in Uganda. Data were collected in triadic context from 50 direct supply chains each composing of a supplier, focal firm and customer. Multi-group structural equations modelling (SEM) was used to assess the differences in perception on the influence of RQ on SCP amongst the supply chain members.

Results provides empirical support for the positive influence of RQ on SCP. SEM reveals differences in perception between the upstream and downstream and amongst the supply chains members. While focal firms considered conflict, coercive power, commitment and trust to be important; suppliers considered trust, dependency and non-coercive power; and customers considered trust, dependency and coercive power to be important RQ factors affecting SCP.

For agribusiness managers to enhance business performance there is need to cultivate strong and mutual relationship with supply chain members. It is also important to know how to handle conflicts and use of power so as to realise the benefits of supply chain relationships.

The paper is novel in that it assesses SCP in a triadic context in an agribusiness sector from a developing country context. The authors used novel approaches including analysis of a triad, and multiple groups SEM to assess perceptions of each supply chain member’s.

The purpose of the paper is to identify chain‐level, product‐, and country‐specific characteristics of chain governance structures in the traditional food sector in the European Union (EU).

The approach combined taxonomy compilation: selecting chain governance structures, Selecting determining variables and assigning values to them; and pilot testing: individual interviews with 54 companies across Belgium, Italy and Hungary representing cheese, beer, white pepper and meat chains. The number of participants is 54.

It was found that the chains varied largely in terms of their complexity. Besides chain‐level, product‐, and country‐specific differences, the retailers' size is a determining factor of the applied governance structure.

The research only considers traditional food chains.

The paper provides guidance for selecting an appropriate governance structure given the characteristics of the chain, the products or the country.

The paper compiles a taxonomy providing important insights to determining variables of the application of governance structures. Further, it analyzes chain‐level, product‐, and country‐specific differences.

The purpose of this paper is to investigate the innovation performance in the Hungarian food chain using the concept of open innovation.

Empirical analysis is based on the data from a 2014 survey of more than 300 small- and medium-sized agricultural producers, food processors and food retailers. The authors analyse innovation performance taking into account not only the direct impacts of external knowledge inflows and absorptive capacity, but also the indirect effect of external knowledge inflows mediated by the existence of potentially complementary internal resources (absorptive capacity). The authors determine the impact of open innovation and a company’s absorptive capacity on innovation performance employing two stage approaches. First, the authors apply a semi-non parametric probit model. Second, the authors run cluster analysis to categorize companies based on their open innovation, absorptive capacity, firm and managerial characteristics.

Results imply the openness along the food chain may decrease the introduction time of innovation in all areas of innovation, as well the innovation propensity. The openness towards competitors may decrease the introduction time of innovation with regard to technological innovation, but it may increase with regard to product innovation, as well the innovation propensity. The absorptive capacity decreases the introduction time of technological product, organizational and market innovation. There is a positive relationship between the use of external knowledge (when it is defined as openness with competitors) and own innovation capacity with regard to innovation propensity, but not when it is defined as openness along the food chain. The enterprises of the sample are dividing into two groups: innovative (dominated by processors) and not innovative ones (dominated by producers and retailers).

Some limitations of the paper are worth mentioning. The study is limited in its scope with regard to the research setting and the unit of analysis (Hungarian food chain). With regard to the former, our sample consists of 302 SMEs along the food chain, almost equally distributed as producers, processors and retailers. At the end of 2014 in Hungary there were 7,766 producers, 2,681 processors and 6,420 retailers in this category, which means 1.3 – 3.7 per cent coverage (Agrárgazdasági Kutatóintézet, 2014). Regarding the latter, the paper defines food chain in a narrow sense (three levels); therefore, the results represent the perspectives of a limited number of food chain partners (producers, processors, retailers). Were the definition to be widened, input from additional members would be necessary (such as suppliers of suppliers, customers of customers, third parties or competitors). Nevertheless, although the scope may be narrow, it is appropriate for our objective. Future research is recommended to overcome the paper’s limitations (i.e. extend its scope to other countries, sectors and levels of chain).

The analysis provides valuable inputs for policy makers and SMEs along the food chain that wish to build and improve (open) innovation system. Policy makers would need more targeted innovation development programmes in order to solve the tight innovation bottlenecks. These programmes should target first of all at expanding the absorptive capacities of the food chain’s enterprises. The authors also need further research in order to investigate how much the restricted use of open innovation systems in the Hungarian food enterprises is linked to the cost and benefits of creation such systems.

The authors analyse innovation performance taking into account not only the direct impacts of external knowledge inflows and absorptive capacity, but also the indirect effect of external knowledge inflows mediated by the existence of potentially complementary internal resources (absorptive capacity).

Recent literature emphasizes the application of lean manufacturing practices to food processing industries in order to improve operational efficiency and productivity. Only a very limited number of studies have focused on the implementation of lean manufacturing practices within small and medium-sized enterprises (SMEs) operating in the food sector. The majority of these studies used the case study method and concentrated on individual lean manufacturing techniques geared towards resolving efficiency issues. This paper aims to analyze the status of the lean manufacturing practices and their benefits and barriers among European food processing SMEs.

A structured questionnaire was developed to collect data. A total of 35 SMEs' representatives, mostly CEOs and operations managers, participated in the survey. The study investigated the role of two control variables in lean implementation: size of the company and country of origin.

The findings show that lean manufacturing practice deployment in food processing SMEs is generally low and still evolving. However, some lean manufacturing practices are more prevalent than others; e.g. flow, pull and statistical process control are not widely used by the food processing SMEs, whereas total productive maintenance, employee involvement, and customer association are more widespread. The key barriers encountered by food SMEs in the implementation of lean manufacturing practices result from the special characteristics of the food sector, such as highly perishable products, complicated processing, extremely variable raw materials, recipes and unpredictable demand. In addition, lack of knowledge and resources makes it difficult for food processing SMEs to embark on the lean journey.

The gap in the literature regarding the application of lean manufacturing in the food sector is identified and addressed in this study. The originality of this paper lies in analyzing the current status of the use of lean manufacturing practices among food SMEs in Europe and identifying potential barriers.