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The earliest known instance of scholarly writing on logistics (in 1901) is actually located in agribusiness. While case illustrations of productivity improvements in logistics in agribusiness have routinely featured in the academic literature since then, such efficiency gains are rarely cast in a broader, strategic perspective – a somewhat surprising omission. Consequently, this study seeks to clarify the relationship between logistics and generic business strategy in dairy organisations/industries by using the New Zealand dairy industry as a case in point. (The focus is more on operations than on distribution and service). We first clarify that the New Zealand dairy co‐operatives and the (export‐oriented) New Zealand dairy industry as a whole, have generally followed a strategy of cost leadership. We then review the various ways in which efficiency has been realised in logistics in the industry, and especially dwell on how the structure (e.g. co‐operative ownership, vertical integration) of the dairy industry has supported and/or hindered the focus on cost leadership. We also examine the extent to which our analysis of supply‐chain efficiency extends to other dairy organisations/industries.

The purpose of this research is to understand how accounting information mobilises stakeholder salience at an industry level.

A case study method using an explanation building approach was applied to gather information surrounding dairy industry stakeholder uses of accounting information to communicate their salience, in the historical context, leading to, and the events surrounding the milk price “war” in Australia. The Mitchell et al. (1997) stakeholder salience framework was used to advance our understanding of the different ways accounting can be mobilized by stakeholders with different types of salience attributes, at an industry level.

This empirical analysis produces two insights into the relation between accounting and stakeholder salience. First, there is evidence as to how accounting information impacted on stakeholder salience at an industry level by demonstrating how accounting information (in)directly communicated and justified the increase of a stakeholder’s level of salience. Second, the Mitchell et al. (1997) model is extended by attributing levels of importance to each stakeholder attribute. It was found that, in this setting, power was the most salient attribute of the three, usurping legitimacy and urgency, leading to the outcomes observed.

This paper acknowledged the usual method limitations related to this style of qualitative research, including investigator bias and lack of statistical generalization. In addition, a second set of limitations critiques the paper’s operating framework. While the Mitchell et al. (1997) stakeholder salience model proved to be a suitable choice for this research, it is limited in the way in which stakeholder attributes are presented and used to identify stakeholders. In addition, further light may be provided on the distinctions between the different magnitudes of power, legitimacy and urgency between stakeholders after suggesting that they are not equally weighted.

The milk price “war” remains a high-profile discussion amongst the general public. This research contributes to a better understanding of how different players (stakeholders) have their salience claims mobilized through accounting information. Practitioners in the dairy industry might reflect on the findings to enhance their legitimacy pursuits in future negotiations with their counter-parties, and better deploy accounting to achieve the same.

The findings speak more broadly to notions of social equity in stakeholder relations, for the production and distribution of a product that is ubiquitously used in society (dairy – milk). The findings from this study therefore have potential to assist policymakers better understand the strategies adopted by stakeholders to impose their influence and defend their claims in a public forum, using accounting information.

The authors contend that the article provides evidence at an industry level, that is lacking in extant management accounting research (Collier, 2000). To this extent, an original contribution is claimed. The paper is also valuable to management accounting and management researchers studying stakeholder salience, and is one of the first to investigate this issue at an industry level, as well as express how accounting mobilises this salience.

The purpose of this paper is to explore the key performance indicators (PIs) that serve as a decision support tool in case of dairy supply chain practices and to analyze their interactions in the context of Indian dairy industry sector. A total of 11 PIs have been identified through the literature review and the opinions of an expert team consisting of managerial and technical experts from dairy industry and academics.

A solution methodology based on the interpretive structure modeling (ISM) technique is used to analyze the interactions among PIs and to propose a structural model. The developed model not only helps in understanding the contextual relationship among the PIs, but also in determining their interdependence to assess the supply chain performance in dairy industry. Further, the importance of PIs has been determined based on their driving and dependence power by using MICMAC analysis.

The ISM-based model suggests four PIs at first level, three PIs at second level, one PI at third level as well as one PI at fourth level and two PIs at fifth level. Model allocates to the effective information technology, brand management, responsiveness in shipment and accuracy and a control over wastages as the key PIs in the dairy industry sector. The effective traceability systems, cold chain infrastructure, quality management and the support for technological innovations are the next major PIs. There exists no autonomous PI in MICMAC analysis which proves the importance of identified PIs in the case study.

The proposed model is an attempt to capture the dynamics of milk processing sector and to incorporate all relevant constraints related to internal and external environments that would significantly improve the supply chain performance in the dairy industry.

The model developed in this study has been tested in the cooperative milk processing units based in India and also discussed with the experts from academics. This work may help practitioners, regulators and dairy industry professionals to focus their efforts toward achieving high performance by the effective implementation of the identified PIs.

In this study, 11 PIs are considered. Interactions among PIs are evaluated with the help of the ISM matrix. Out of the 11 PIs, six demonstrate both strong driving and dependence power as explained in the MICMAC analysis.

The UK milk industry has been in a state of rapid evolution following the dissolution in 1994 of the milk marketing boards. The paper examines dairy processing companies, milk collection co‐operatives and milk groups in the south west of England to assemble reasons for success and failures and compare them with north west France, with similar traditional dairying. The findings suggest the following opportunities as the best development potential for the dairy industry in south west England: mature cheddar, speciality cheeses, suitable territorial cheese varieties and other fresh cheeses; dairy desserts; and yoghurts, fromage frais and crème fraiche. A second tier of opportunities could take place through new on‐farm processing; expansion of the product range of existing companies; expansion of the Davidstow Creamery as a producer of mature cheddar; and new “green field” site developments by new entrants.

The purpose of this paper is to investigate the impact on household and farming systems of government efforts to modernise production, build scale and develop specialisation in the Tibet dairy industry.

An overview of policy strategies and industry developments is used to frame detailed micro-level analysis of household and farming systems where impacts on households are explored from both a comparative static and dynamic perspective.

Specialisation and intensification improve household returns but elicit major changes in the farming and household systems and engagement with external markets. For instance, scaling up from three to ten improved cows increases returns from farm activities by one-half but shifts households from a state of food self-sufficiency to one where they need to sell two-thirds of their dairy products and buy three-fifths of their livestock feed.

The diversity among Tibetan farm households and the dynamic changes occurring in farm productivity, product markets and agrarian systems means that the empirical results are used as illustrative rather than definitive.

Relative to the large attention on the Chinese dairy industry with regard to food safety and industry development, the impacts of dairy specialisation on smallholders especially in western China have been overlooked. The case highlights several issues relevant to agrarian transition and development including changing labour use, risk exposure and engagement with external markets.

Sustainability in food sector is the need of the hour. It has been revealed that Green supply chain management (GSCM) is an emerging new and effective approach to improve the productivity, efficiency of any enterprises and to achieve sustainability. The purpose of this paper is to rank the key performance indicators which are responsible for implementation of GSCM in Indian dairy sector. Ranking is done by giving weightage to them based on survey reports. The study includes literature review, personal interviews and surveys using the detailed questionnaire. Since food processing industry, e.g. dairy industry is the major energy user and directly affecting the health of public is being chosen for implementing GSCM practices. The approach is to form an effective framework for successful implementation of GSCM in dairy sector. Grouping of key performance indicators has been done using factor analysis and thereafter Analytic hierarchy process (AHP) method has been applied to determine the suitable framework based on relative importance of critical factors.

The first step was to identify critical factors through extensive literature review, personal interviews, etc. The personal interviews has been carried out by contacting executives, managers, professionals of various dairy industries. Data has also been collected by interviewing auditors of ISO 14001 which was responsible for implementation of Environmental management system. Questionnaire used for collecting data has been formulated based on critical factors. It is also used to study minute details of the process being used in dairy industry. After collection of sufficient data SPSS is used for grouping of data through factor analysis. Thereafter AHP method has been used to identify the relative importance of these factors by ranking it which can be used by the managers in developing model/framework for implementing GSCM.

The work aims to examine the critical factors of GSCM and its ranking so as to implement GSCM practices in dairy industry in Indian context. Detailed questionnaire based on 79 parameters has been used for survey in dairy industry in northern India. Grouping of these parameters has been done using factor analysis. The ranking of these identified critical factors has been used by using AHP which is used to see the relative importance of these eight factors. These ranked factors would be used by the managers of the dairy industry to implement GSCM. The work is limited to Indian dairy industry but it can be extended to other industry also after identification of critical factors.

It is certified that this research work is original and has never been submitted or published in any journal.

This paper demonstrates a multi-criteria analytic hierarchy process (AHP) framework for evaluating and benchmarking maintenance performance in the select agro-based industry.

Initially, 20 maintenance practices (criteria) have been identified after a detailed literature review and discussion with the agro-based industry (sugar, textile and dairy industry) executives. These are then grouped into six maintenance management areas referred to as group criteria. The multi-criteria methodology consists of three steps: criteria identification, hierarchical modeling and data collection and maintenance performance evaluation, and benchmarking. The multi-criteria methodology proposed in this work facilitates two ways of carrying out benchmarking: (1) within the agro-based industry and (2) between the agro-based industry. The methodology has been explained by taking a case example of 45 agro-based industries (18 dairy, 13 sugar and 14 textile) from the western region of India. The sensitivity analysis of the model has been performed to ascertain the robustness of the results.

There is a difference in the maintenance performance across the agro-based industries due to different maintenance practices perceived differently.

The outcome of the model is mainly given by the judgments of the agro-based industry executives. It is also sensitive to any change in the relative importance to the evaluation criteria or the perception about the maintenance performance.

The study contributes in identifying the weakness, if any, by comparing the agro-based industry under investigation with the benchmark factory at three levels, namely, overall performance (factory level), group criteria (maintenance management area level) and criteria (maintenance practice level) allowing further improvement.

The methodology assists in better decision-making and in improving maintenance performance.

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.

The purpose of this paper is to evaluate dairy farm financial performance over time utilizing farm financial ratios from three university business analysis programs. The evaluation includes measures of profitability, solvency, and liquidity by herd size.

Financial ratios to reflect profitability (rate of return on assets), solvency (debt to asset ratio), and liquidity (current ratio) were collected from Cornell University, Michigan State University, and the University of Wisconsin for dairy farms from 2000 to 2012. The distribution of farm financial performance using these ratios was examined over time and by herd size. Variance component methods are used to examine the percent of variation due to individual firm and industry aspects. A simple credit risk score is calculated to examine relative farm risk.

Dairy farm profitability performance is similar across herd sizes in poor years but larger herds realized significantly more profitability in good years. Findings were similar with respect to liquidity. Large herds consistently carried relatively more debt. Large herds’ financial performance was more uniform than across smaller herds. Larger herds had more financial risk as measured by credit risk scoring but recovered quickly to industry averages in profitable years.

The variation of dairy farm financial performance in an era of volatile milk and feed price is assessed. The results have important implications for farm financial management and benchmarking farm financial performance. In addition to helping to evaluate the efficacy of various price and income risk management tools, these results have important implications for understanding the benefits of the new federal Margin Protection Program for Dairy that is available to all US dairy farmers.

The purpose of this paper was to establish the contribution of value chain and productivity to trade performance in the dairy industry using evidence from Uganda.

This study research design is cross-sectional and correlational. Data were collected through a questionnaire survey of 108 dairy farmers, processors and exporters. Data were analysed through correlation coefficients and linear regression using Statistical Package for Social Sciences.

Hierarchical regression results indicate that value chain and productivity contribute significantly to variances in trade performance of dairy products. Therefore, appropriate value chain processes and high levels of productivity lead to increased trade performance in the dairy industry.

This study focusses on trade performance of dairy products in Uganda. These research findings are useful for informing the deliberations of academicians, regulators and the business community. The results are applicable to all countries that carry out trade specifically in dairy products.

The results are important for trade policy development in the dairy industry. For example, this study informs farmers, processors and exporters of dairy products how value chain activities in dairy farming can be re-aligned to achieve better quality and productivity for exportation. Similarly, the current study provides policy guidance for the relevant ministries such as ministry of trade and other players to come up with holistic policy actions aimed at improving the trade performance of dairy products in the country.

To the researchers' knowledge, this is the first study that provides an initial empirical evidence on the contribution of value chain and productivity on trade performance of dairy products in Uganda.