scholarly journals Performance imbalances in the chain: EU traditional food sector

2009 ◽  
Vol 3 (3-4) ◽  
pp. 7-11 ◽  
Author(s):  
Adrienn Molnár ◽  
Xavier Gellynck

Organizations nowadays no longer competeas independent entities, but as chains(Christopher, 1998; Cox, 1999; Lambertand Cooper, 2000). Hence, being part of a well-performing chain is crucial for the future of the individual food firm, especially in the context of the globalizing economy. As a result, the objective of this study is to identify performance imbalances of traditional food chains.Therefore, quantitative data were collected via individual interviews with 271 chain member (91 suppliers, 91 focal companies and 89 customers) of 91 traditional food chains from three European countries(Belgium, Italy and Hungary), representing six different traditional food product categories (cheese, beer, ham, sausage, white pepper and bakery). The results differentiate six different kinds of chain imbalances, namely: dyadic upper and lower, up-and down stream, internal and external indicate both dyadic and chain-wise imbalance. Most chain imbalances are noticed in relation to lowering logistic costs and to reducing lead time. Future research should extend the list of performance indicators with parameters other than economical ones such as ecological and social ones.

2008 ◽  
Vol 8 (1) ◽  
pp. 47-58 ◽  
Author(s):  
Xavier Gellynck ◽  
Adrienn Molnár ◽  
Lusine Aramyan

The objective of this study is to develop a sound measurement instrument of traditional food supply chain performance integrating the perspectives of different stakeholders. Therefore first, stakeholders' goals are generalized via focus groups and individual interviews. Second, stakeholders' goals are consolidated, based on their specificity and conflicting/divergent nature and as a result, supply chain goals are developed. Third, potential performance indicators are listed, supporting the developed supply chain goals. Fourth, key performance indicators (KPIs) are selected. As a result, five main supply chain goals are formulated (traditionalism, efficiency, responsiveness, quality and chain balance) together with their supporting performance indicators. Future research should focus on validating the instrument in other food and non-food sectors.


2019 ◽  
Vol 24 (4) ◽  
pp. 484-497 ◽  
Author(s):  
Joanita Kataike ◽  
Lusine H. Aramyan ◽  
Oliver Schmidt ◽  
Adrienn Molnár ◽  
Xavier Gellynck

Purpose 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. Design/methodology/approach 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. Findings 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. Research limitations/implications Although limited to a single agri-food sector within the Ugandan dairy sector, the findings support evidence from similar agri-food chains worldwide. Originality/value 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.


2019 ◽  
Vol 121 (6) ◽  
pp. 1413-1427 ◽  
Author(s):  
Concetta Nazzaro ◽  
Marco Lerro ◽  
Marcello Stanco ◽  
Giuseppe Marotta

PurposeThe purpose of this paper is to investigate consumer’s acceptance toward product innovation in the agri-food sector, uncovering consumers’ characteristics able to encourage food innovation acceptance.Design/methodology/approachThe analysis was carried out by administering a web-based structured questionnaire to a convenient sample of 443 Italian consumers. The study relies on consumers’ willingness to pay (WTP) to assess consumers’ acceptance toward the innovative product, while the Food-Related Lifestyle scale was applied to perform a cluster analysis aiming at detecting the attitude of consumers toward innovations in a traditional food.FindingsThe study findings showed a clear openness of consumers toward product innovation. Indeed, consumers’ WTP for the innovative product was far higher than the traditional one. Further, two out of three consumers’ groups detected (i.e. pro-innovation and rational adopters) exhibit a broad correlation between the innovative product attributes and consumers’ psychographics characteristics, revealing the existence of a large number of potential consumers.Originality/valueThe contribution of the paper to the current literature is twofold. First, it focused on an emerging topic for the agri-food sector (i.e. product innovation) whereby research works are still scarce. Second, product innovation was addressed toward a traditional food that is mostly reluctant to innovation due to consumers’ resistance and skepticism.


2012 ◽  
Vol 48 (No. 2) ◽  
pp. 76-80
Author(s):  
T. Doucha

The processes of globalisation and concentration have been also penetrating into the Czech agro-food sector and market. Utilising information from foreign sources and developed countries, the paper tries to present a complex view on the Czech situation from the structural and institutional aspects. Based on limited Czech information sources, the market structure in the individual links of the food chains is presented, together with the hypothesis about the sequence of the market power in the present Czech agro-food sector: input suppliers and retailers – farmers – processors. The paper also implies possibilities of the state to suppress negative effects of globalisation and concentration, especially as regards the adjustment of the Czech market regulations to the EU ones.


Author(s):  
Tammo H.A. Bijmolt ◽  
Michel Wedel ◽  
Wayne S. DeSarbo

Abstract Assessing market structure by deriving a brand positioning map and segmenting customers is essential for supporting brand-related marketing decisions. We propose adaptive multidimensional scaling (ADMDS) for simultaneously deriving a brand positioning map and market segments using customer data on cognitive decision sets and brand dissimilarities. In ADMDS, the judgment task is adapted to the individual customer where dissimilarity judgments are collected only for those brands within a customers’ awareness set. Thus, respondent fatigue and unfamiliarity with the brands are circumvented thereby improving the validity of the dissimilarity data obtained, as well as the multidimensional spatial structure derived from them. Estimation of the ADMDS model results in a spatial map in which the brands and derived segments of customers are jointly represented as points. The closer a brand is positioned to a segment’s ideal brand, the higher the probability that the brand is considered and chosen. An assumption underlying this model representation is that brands within a customers’ consideration set are relatively similar. In an experiment with 200 respondents and 4 product categories, this assumption is validated. We illustrate adaptive multidimensional scaling model on commercial data for 20 midsize car brands evaluated by 212 members of an on-line consumer panel. Potential applications of the method and future research opportunities are discussed.


2014 ◽  
Vol 116 (11) ◽  
pp. 1692-1709 ◽  
Author(s):  
Katia Laura Sidali ◽  
Sarah Hemmerling

Purpose – The purpose of this paper is to develop an authenticity model for food specialties considering both the subjective and the object-based dimensions of authenticity. Moreover, the relationship with personality traits – such as consumer self-concept and identification with the product – (antecedents) as well as with the consumption intention (consequences) are measured. Design/methodology/approach – Hypotheses were analyzed by means of a structural equation model using AMOS. Calculations were based on data collected through an online survey of 138 German respondents who were recruited by a consumer panel. Findings – Both subjective and object-based perceived authenticity significantly influence the purchase intention. Object-based authenticity's role is mediated by the subjective authenticity, which is affected by the consumers self-identification with the product and personality traits such as determination and passion. Research limitations/implications – The results presented in this paper will help to understand what influences the perception of authenticity of a traditional food product and how it affects purchase intentions. More influencing variables should be considered in future research, as well as other product groups. Repeated analyses considering larger samples are necessary to confirm the presented results. Practical implications – A deeper understanding of which psychological and social factors affect the perception of a product's authenticity is important for creating appropriate marketing strategies. Originality/value – While there is a vast literature on authenticity theories, remarkably few scholars have provided empirical evidence on this subject by using a quantitative research design.


2010 ◽  
Vol 10 (1) ◽  
pp. 27-49 ◽  
Author(s):  
Adrienn Molnár ◽  
Xavier Gellynck ◽  
Robert Weaver

The purpose of the paper is to measure perceived performance of bilateral relationships in the chain. Therefore, quantitative data were collected from 270 chain members from 3 EU countries in 6 traditional food product categories. First, perceived performance of bilateral relationships was analysed which revealed a generally high perceived contribution of each chain member to its partners' performance. Second, cluster analysis was conducted resulting in 4 clusters: 1) Low performing chains; 2) Low perceived food manufacturer's (FM) performance by supplier (S) and customer (C); 3) High perceived FM performance by S and C; 4) High performing chains. Third, binary logistic regression was used to identify 7 relationship constructs that significantly predict cluster membership: trust, economic satisfaction, social satisfaction, dependency, coercive power, reputation, conflict and integration.


2017 ◽  
Vol 76 (3) ◽  
pp. 91-105 ◽  
Author(s):  
Vera Hagemann

Abstract. The individual attitudes of every single team member are important for team performance. Studies show that each team member’s collective orientation – that is, propensity to work in a collective manner in team settings – enhances the team’s interdependent teamwork. In the German-speaking countries, there was previously no instrument to measure collective orientation. So, I developed and validated a German-language instrument to measure collective orientation. In three studies (N = 1028), I tested the validity of the instrument in terms of its internal structure and relationships with other variables. The results confirm the reliability and validity of the instrument. The instrument also predicts team performance in terms of interdependent teamwork. I discuss differences in established individual variables in team research and the role of collective orientation in teams. In future research, the instrument can be applied to diagnose teamwork deficiencies and evaluate interventions for developing team members’ collective orientation.


2017 ◽  
Vol 9 (1) ◽  
pp. 361
Author(s):  
Godiva Rembeci

Now days there is a global consensus among all stakeholders that SMEs represent a driving force to the overall economic development, due to their significant contribution both on GDP and employment of national economies. SMEs also by numbers dominate the world business stage, although their contribution does vary among the countries. SMEs in Albania represents about 98% of the total enterprises with a contribution to national GDP for about 70%. The structure and the performance of national economy is depended very much on the economic performance and contribution of SME, that’s why most of the governments have strategic programmes which support the SME’s development. To measure SMEs’ performance and their ability to compete on national and international markets requires a lot of information in all aspects. Through this paper the author aims to measure and analyze the economic performance of SMEs operating in Albania. To achieve this objective, official data on business statistics published by national the statistical office (INSTAT) are used for two years period 2014-2015. In addition using an international framework addressed to the objective “improve the techniques for SMEs productivity measurement”, for the first time, a set of comparative performance indicators is established and in doing so, those results can be used as term of reference in future research activities in SMEs sector. From the results it came out that although the positive growth rate of GDP during the last years , the performance indicators of SMEs show a slightly negative trend, indicating indirectly the need for support, in order to empower their contribution in national economy.


2020 ◽  
Vol 24 (4) ◽  
pp. 481-497 ◽  
Author(s):  
Thomas Trøst Hansen ◽  
David Budtz Pedersen ◽  
Carmel Foley

The meetings industry, government bodies, and scholars within tourism studies have identified the need to understand the broader impact of business events. To succeed in this endeavor, we consider it necessary to develop analytical frameworks that are sensitive to the particularities of the analyzed event, sector, and stakeholder group. In this article we focus on the academic sector and offer two connected analyses. First is an empirically grounded typology of academic events. We identify four differentiating dimensions of academic events: size, academic focus, participants, and tradition, and based on these dimensions we develop a typology of academic events that includes: congress, specialty conference, symposium, and practitioners' meeting. Secondly, we outline the academic impact of attending these four types of events. For this purpose, the concept of credibility cycles is used as an analytical framework for examining academic impact. We suggest that academic events should be conceptualized and evaluated as open marketplaces that facilitate conversion of credibility. Data were obtained from interviews with 22 researchers at three Danish universities. The study concludes that there are significant differences between the events in terms of their academic impact. Moreover, the outcome for the individual scholar depends on the investment being made. Finally, the study calls for a future research agenda on beyond tourism benefits based on interdisciplinary collaborations.


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