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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.

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.

The purpose of this paper is to examine the influence of anticipated emotions (AE) on behavioural intention and behaviour to consume filled chocolates and to give an indication on the possible differences in consumer behaviour between two countries.

The theory of planned behaviour (TPB) was used to explain the consumption of chocolate. In this study, TPB is extended with a construct for AE.

A total of 859 consumers in Belgium and Hungary participated in the study and results showed that including AE increases the predicted variance of the TPB. Moreover, AE have a positive effect on the intention and the actual behaviour of consumers. Next, the study suggests that Belgian consumers are more influenced by their emotional and control beliefs and that Hungarian consumers are also driven by opinion of family and friends and some behavioural beliefs.

Overall, TPB can contribute to the understanding of behavioural intention and behaviour towards eating filled chocolate. Moreover, it can help to develop a marketing plan for specific consumer segments as it can identify influencing factors and consumer beliefs towards a product.

This is the first study that compares the fit of the TPB model with and without the construct of AE. The work contributes to the growing literature on emotions as it does not focus on emotions elicited during or after consumption, but explores if the AE also play a significant role in behaviour.

There is a growing interest in measuring emotions evoked by food products to gain additional insights in how consumers perceive and choose food products. The aim of this study was to investigate if consumers' emotions are influenced by flavour, gender, consumption habits, actual tasting or consumer attitude towards a product. Chocolate was chosen as the product under study as its consumption is associated with evoking several emotions.

During a between-subjects experiment at a local food fair, consumers (n = 910) evaluated either the name “chocolate”, plain dark chocolate or raspberry flavoured dark chocolate. Participants rated the intensity of 24 emotions and answered the 24 statements of the Attitude to Chocolate Questionnaire.

The results showed that sensory characteristics have a significant influence on the emotional profiles whereas no difference was found between tasting and not tasting. Gender and prior liking had little to no influence. Finally, the results suggested that consumption frequency and attitudes towards chocolate did have an influence on the emotional profiles.

The results show that producers should try to evoke positive emotions which could be emphasised through marketing. Gender differences for emotional profiling advocate that future research should not only analyse global results but also separately analyse by gender. Moreover, usage frequency and attitudes towards chocolate had an impact on the emotions meaning that future research should consider those when setting up research.

This study further contributes to the growing literature on emotions. It examines the added value of actual tasting chocolate while prior research focuses either just names or just sensory evaluation. Also, this paper further explores to which extent flavour, gender, consumption habits and attitude impact the emotional associations of chocolate.

The purpose of this paper is to examine the influence of sensory attributes of milk chocolate on consumers’ emotions and their hedonic ratings using three commercial brands of milk chocolate.

Quantitative descriptive analysis by a trained panel (n=8) was performed to obtain the sensory evaluation of the samples. A group of 127 consumers evaluated the samples to indicate their hedonic ratings (nine-point hedonic scale) and emotions (EsSense Profile®).

The sensory profiles for the three chocolate types showed clear differences. EsSense Profile® methodology revealed that each type of chocolate had a distinct emotional profile. The premium brand was associated with the highest number of positive emotions, whereas the traditional brand was associated with most of the negative emotions (“bored”, “disgusted” and “worried”). The drivers of liking were mainly positive and unclassified emotions. Also, gender differences in emotional profiling were found.

This study illustrates that sensory and emotional measurements can contribute to a better understanding of consumers’ hedonic liking. Moreover, gender differences found in emotional profiling should raise awareness that gender may lead to different emotional profiling. These gender differences are of interest to food companies, for instance, for food product development or marketing purposes.

This study further contributes to the growing literature on emotions. By combining sensory evaluation by a trained panel and emotional profiling by consumers, this paper explores how combining these measurements can contribute to a better understanding of the drivers of liking for milk chocolate.

Effective rural agribusiness development requires dedicated training programmes therefore, this paper is an attempt to investigate smallholder farmers’ TNs in the dairy agribusiness sector. The purpose of this paper is to study a bigger research project of the dairy value chain in agribusiness framework in the Rwenzori region.

A sample size of 100 dairy farmers were randomly selected from two Districts in the Rwenzori region. The descriptive statistics (mean and standard deviation) provided a basis for discussion. Furthermore, parametric Pearson coefficient test was conducted to examine the smallholder farmers’ TNs and assess its association with selected socio-demographic characteristics of the dairy farmers.

The analysis indicated that dairy farmers expressed the need for a training program. Most frequently requested topics include: fodder cultivation, quality and safe milk handling, milk marketing, calf feeding and rearing, animal nutrition and financial literacy out of 12 topics. The least desired TNs was record keeping.

The findings contribute to the understanding of dairy farmers’ TNs.

The identified 12 key training intervention areas for the dairy farmers inform policymakers Dairy Development Authority and other development bodies in the Rwenzori region to address the challenges and improve smallholder dairy farming practices.

The study applies a synthesis review to identify theoretically acceptable variables that measure smallholder farmers’ TNs in the dairy agribusiness. The paper also shares the empirical evidence of a pioneering attempt to identify smallholder dairy farmers’ TNs in Uganda.

Literature indicates that those solid chocolate particles cannot be detected by human beings that are smaller than a critical value between 25 and 35 µm. Chocolate containing particles larger than this range is thought to be perceived as grainy. However, there does not seem to be any publication which justifies this threshold. Hence, the main aim of this work is to determine if the threshold at which particles can be detected is indeed 30 µm.

Three dark chocolates containing solid particles of expected D_v,90 of 30 µm, 40 µm and 50 µm were produced. Particle Size Distribution (PSD) was determined using static light scattering while hardness and melting behaviour were characterised using a penetration test and Differential Scanning Calorimetry (DSC), respectively. Sensory analyses were performed with a trained panel (n = 9).

PSD analyses indicated that the solid particle D_v,90 of the three chocolates were around 30 µm, 40 µm and 60 µm, respectively. DSC measurements showed no significant difference in melting behaviour between the chocolates. Hardness measurements showed that the “30 µm chocolate” was significantly harder than both the “40 µm chocolate” and the “60 µm chocolate”, while trained panellists found that the graininess of the 60 µm chocolate was significantly higher than that of the 40 µm and 30 µm chocolates.

These results suggest that particle size detection threshold is higher than 40 µm. Chocolate manufacturers could thus increase the size of the biggest particles from 30 µm to 40 µm, leading to a decrease in production cost.

This is the first study to examine the particle detection limit of chocolate.

The purpose of this paper is to explore Chinese consumers’ perceptions in relation to both Chinese traditional and European food.

A web-based free word association test was administered to 302 consumers in China. They were asked to give the first three words that came into their minds when they were presented with each of two stimulus words, “traditional food” and “European food”. Three researchers grouped the elicited words into classes and then into dimensions. χ² association tests were used to assess and identify statistically significant differences in the frequencies of classes and dimensions for the two food concepts between socio-demographic groups.

The findings show that Chinese consumers define Chinese traditional food and European food through ten similar dimensions: Sensory appeal, Health, Origin, Marketing, Safety, Variety, Heritage, Symbolic meaning, Simplicity and Mood. Additionally, they associate Chinese traditional food with the dimensions Elaboration, Celebration and Habit, as well as link European food to the dimensions Convenience and New. Although ten dimensions are the same, obvious differences can be identified by comparing the classes for the two food concepts. Further, there are significant differences in the class associations for European food between age groups and in the dimension associations for Chinese traditional food between gender groups.

By using an online qualitative research method, this study is one of the first to address how Chinese consumers define both European food and their own traditional food in China, the largest East Asian country. The findings are particularly useful for the future development of traditional food products and for the future export of European food products onto China and even other countries in East Asia.