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Discusses the recent trend in the dairy industry towards conglomeration, focusing on the implications for the New Zealand dairy export industry. Describes how a proposed merger of the New Zealand dairy group and Kiwi cooperative dairies (both producer cooperatives) and the Dairy Board (which handled all overseas marketing of New Zealand dairy products) was rejected by the Commerce Commission and discusses the subsequent intervention by the Government in favor of the merger and the formation of a new company, provisionally termed “GlobalCo”. Investigates what dairy farmers desire from the New Zealand Government in the form of legislation and regulation, proposing the following research questions: what are dairy farmers’ perceptions of the dairy merger; how do government regulations affect dairy farmers’ operations; and what are dairy farmers perceptions of government assistance in the industry? Using a holistic‐inductive qualitative study with a sample collected through various contacts in the dairy industry, including farms from the lower half of North Island and all of the South Island, presents findings and outlines implications concerning the government and management at GlobalCo.

The dairy industry has been changing rapidly owing to competitive pressures since the early 1980s. Basic operations in most dairies are being continuously improved. Deals with an application of a benchmarking process in a dairy firm. The calving operation is one of the most complex and significantly profitable operations in the dairy industry. Owing to a high mortality rate, the dairies are likely to lose in several ways, including profitability. Therefore, reducing the mortality rate will result in a significant increase in the efficiency of the operation. Describes details of the benchmarking process as they apply to the calving operation. Data were collected and analysed for a large dairy firm in California. Presents the results of the benchmarking process and recommendations.

This study aims at modelling the enablers of dairy supply chain (DSC) in Indian context.

Interpretive structural modelling (ISM) approach has been used to model the enabler of dairy supply chain. The opinion has been taken from the industry experts and experienced academicians. Further, Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) used to classify the enablers based on driving and dependence power.

Findings show that stakeholder trust and top management support/leadership are the very crucial enablers in dairy supply chain; they are at a lower level of hierarchical structure and work as primary enablers to development of DSC. While customer satisfaction and financial performance are at top of the digraph, it shows these enablers are the outcome of a smooth supply chain. The MICMAC analysis suggests that the identified enablers are largely classified into dependent and independent enablers; there are no autonomous enablers in the dairy supply chain.

The study can aid businesses in the dairy processing industry in managing demand fluctuations, enhancing product quality, implementing effective information systems and adapting procedures, thereby enhancing supply chain performance.

There is very limited study on enablers of the dairy supply chain in general, while in the Indian context, there is no specific study on modelling the enablers of dairy supply chain.

This article aims to optimise energy use and consumption by integrating Lean Six Sigma methodology with the ISO 50001 energy management system standard in an Irish dairy plant operation.

This work utilised Lean Six Sigma methodology to identify methods to measure and optimise energy consumption. The authors use a single descriptive case study in an Irish dairy as the methodology to explain how DMAIC was applied to reduce energy consumption.

The replacement of heavy oil with liquid natural gas in combination with the new design of steam boilers led to a CO₂ footprint reduction of almost 50%.

A further longitudinal study would be useful to measure and monitor the energy management system progress and carry out more case studies on LSS integration with energy management systems across the dairy industry.

The novelty of this study is the application of LSS in the dairy sector as an enabler of a greater energy-efficient facility, as well as the testing of the DMAIC approach to meet a key objective for ISO 50001 accreditation.

The purpose of this paper was to determine the profile of dairy product consumers in the organic market.

The study was based on a survey questionnaire developed by the author and administered to a total of 1,108 respondents. The statistical analysis (including descriptive statistics, the analysis of the discriminative function and the Chi2 test was performed with the use of Statistica 13.1 PL. The respondents’ gender was the factor behind the differences in how they behaved.

The consumers indicated the channels they rely upon to find information on organic dairy products; in addition to trusting the opinions of their family members and experts, they also use web platforms. Further, they specified their preferred locations for buying favorite products during the pandemic: specialized organic food shops, large distribution chains and online stores.

These outcomes will help in identifying target consumer segments and information channels for specific information and advertising messages. They also form an important resource for developing some potential strategies which the supply chain stakeholders could implement to promote organic consumption of dairy products.

This study identifies consumers’ preferred dairy products; motives for purchasing organic dairy products; barriers that consumers believe exist in the market; sources of knowledge about products purchased by consumers; and consumers’ preferred channels for purchasing organic dairy products. To the best of the author’s knowledge, this is the first study of dairy product consumers in the organic market in Poland.

This article quantifies public sentiment for dairy products using online media and investigates potential relationships between online media, both volume and sentiment, and future prices of Class III milk.

Netbase, an online media listening platform, was used to quantify US generated online media sentiment and number of mentions regarding dairy products. Granger-causality tests and Impulse Response Functions (IRFs) were used to study relationships between online media derived data and dairy futures prices.

Milk and cheese have more mentions in online media than yogurt and ice cream. Online media net sentiment around milk was the lowest of the dairy products studied. Granger-causality tests showed that Class III milk price Granger-causes net sentiment of dairy as a whole and of fluid milk. Price additionally Granger-causes mentions of milk, ice cream and yogurt. Notably, milk and ice cream mentions Granger-cause the Class III milk price. IRF's reveals that increases in mentions have a positive, albeit small, effect on the Class III milk price that is statistically significant for ice cream, but not for milk. IRF's directionality of the relationship from price to online media derived data was mixed.

This is the first time that relationships between online media -volume and sentiment- and futures prices of an agricultural commodity are researched. Exploration of futures markets alongside online media advances the use of online media to glean insights in financial, along with food and agricultural markets.

This paper seeks to assess the capabilities and maturity of supply chain planning and product quality management systems implemented by the dairy industries in three different countries: Russia, Kazakhstan, and Lithuania.

Through a systematic analysis of statistical information, the descriptors of the logistics supply chain efficiency were identified. Directions for dairy supply chain management improvement were also highlighted. The study uses secondary statistics from open sources as a basis for the comparative analysis across a range of indicators, including the Logistics Performance Index (LPI), the dairy products quantity, the production volume of milk and dairy products, and other indicators characterizing the dairy industry.

The results of this study suggest the inconsistency and narrowness of single indexes and ranking, which are traditionally used to evaluate the logistics system. LPI values confirmed that the internal efficiency of the Lithuanian logistics system exceeds similar systems in Russia and Kazakhstan.

In this paper, ways to improve supply chain management of dairy products in the context of globalization have been determined, the prerequisites for the formation of the perishable goods market according to the balance of supply and demand and the institutional mechanism of this process, which represents important information for all interested economic agents, have been analyzed.

The proposed approach points to the importance of having detailed information on the supply chain infrastructure and the need to introduce a single information space based on modern information and communication technologies.

This paper aims to assess the consumption of dairy products in Kuwaiti children, and develop and validate a semi-quantitative food frequency questionnaire to measure dairy product consumption.

This cross-sectional study was based on a sample of child–parent dyads (n = 150). A dietary assessment questionnaire on local dairy products consumed by preschool and preadolescent children was developed. Serving and portion sizes were evaluated on the basis of the guidelines of the United States Department of Agriculture and the American Academy of Pediatrics to calculate median intake levels of three age groups (3-5, 6-8 and 9-11 years).

All children met or exceeded the recommended daily servings of dairy products for their age and sex. Dairy product intake was often from processed dairy including milk-based desserts, flavored milk and cheese. Compared to boys, girls consumed more yogurt (15.5 per cent vs 14.2 per cent, p = 0.001) and milk-based desserts (15.5 vs 14.3, p = 0.001). In boys, flavored milk contributed more to the total dairy intake than in girls, especially in 6-8-year-olds (21.8 per cent vs 18.9 per cent, p = 0.021). Weight status was not associated with dairy product intake in either sex.

This is the first study that quantifies dairy product consumption in Kuwaiti children and provides insight into sex-specific trends in dairy product selection. The findings of this study may help in investigating relationships between dairy product consumption in children and disease risk factors, and are important for the development of local dietary guidelines for children.

This paper identifies sources of disruptions that impede resilience in the dairy supply chain in an emerging economy context.

A case study approach is used. The unit of analysis is the Indian dairy supply chain (IDSC). Data were collected from nine major dairy cooperatives and five major private firms operating across the Indian states. A total of 28 face-to-face semi-structured interviews were conducted with two individuals from each case dairy organisation during January 2016 to December 2017.

Disruption sources in the IDSC are both external and internal and impact the quality of products and the distribution network. Compared to developed economies, in an emerging economy context such as India, the number of disruptions is very high. These disruptions negatively impact resilience and affect efficiency, flexibility, responsiveness and product quality.

The findings stress the importance of integration across upstream and downstream processes in the IDSC. However, contextual factors should also be considered when designing the supply chain configuration. Small supply sources may be conceptualised as distributed sources that can be consolidated on the move using logistics and IT-enabled solutions. Moreover, the underlying processes of the dairy supply chain need to adapt to the external environment, and internal causes of disruptions should be eliminated through process redesign.

The findings highlight that the efficient operation of the IDSC is challenged by disruptions, the fragmentation of various stages and poor support infrastructure. The findings may be useful in managing supply networks which have linkages in emerging economies.

The upstream stage of the IDSC involves many small- and medium-sized unorganised producers. The overall inefficiency and poor value generation across the entire IDSC constrain the livelihood and interests of these unorganised producers. Therefore, supply chain design needs to be aligned with social context.

The central contribution of this article is to present sources of disruptions that impact dairy supply chain performance in an emerging economy context. Areas requiring process improvement are also highlighted.

In the past decade, there has been a dramatic decline in agricultural employment in Bulgaria and several reports have pointed at supply chain modernisation and poor milk quality as the main reasons for the dramatic decline in the number of farms. However, to date the policy debate is been based on ad hoc claims, while there is relatively little micro-level evidence. The purpose of this paper is to analyse the determinants of structural change in the Bulgarian dairy sector in the period 2003-2009.

This paper analyses the determinants of structural change in the Bulgarian dairy sector in the period 2003-2009, using a unique panel survey of 296 farm households in the North and South Central Region of Bulgaria. In order to control for sample attrition bias, the authors use a two-step Heckman model of farm survival and growth model.

The data confirms the rapid outflow of agricultural labour from dairy farming activities: 55 per cent of the farm households supplying milk to a dairy company in 2003 stopped supplying in 2009. The main reasons for quitting are ageing of the household, health problems and an increase in off-farm employment alternatives and not supply chain modernisation and milk quality standards. The institutional innovations which are associated with integration in modern supply chains, such as the provision of farm assistance programmes, have a positive impact on small farms’ growth.

The study is one of the first to use panel data to analyse the impact of standards on the survival and growth of small farms in value chains. The authors analyse the determinants of farm survival and growth in the Bulgarian dairy sector in the period 2003-2009, using panel surveys of 296 dairy farm households in the North and South Central Region of Bulgaria and panel data from interviews with dairy companies. The findings are relevant beyond the Bulgarian dairy sector as supply chain modernisation and changes in quality regulations are taken place in many other transition and developing countries.