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This systematic literature review integrates the findings of existing studies regarding technical efficiency (TE) in dairy farms. The purpose of this paper is to offer a research framework that assembles TE descriptors, a classification of previous literature that provides the basis for the synthesis and research agenda.

This paper systematically reviews 86 survey research studies using rigorous and reproducible procedures. The review is applied to published survey research.

The framework relates context, inputs, outputs and metrics of TE. There is no agreement among the authors on the context and determinants of TE. The main determinants of TE are geographical location, farm size, investments in veterinary care, feeding and milking practice, TE model estimation techniques, public policy, and management-related variables. This paper offers ten propositions for future research on the controversial results on the determinants of TE. The authors also explore the reasons for the discrepant results based on the Debreu-Farrell’s definition of TE, the contingency theory and the resource-based view of the firm, elucidating the literature and serving as a basis for future investigation. Implications for dairy farmers and researchers close the review.

Meta-analysis and meta-regression studies were long at the forefront of reviews in the TE of dairy farms. This paper offers a novel qualitative research synthesis with frameworks and the classification of previous literature and a research agenda, which provides a new and different perspective for analysis, by innovating over the available quantitative procedures to combine statistical results.

The purpose of this paper is to propose that the effectiveness of organizational design-manufacturing integration (ODMI) practices is contingent upon the degree of complexity of the manufacturing environment. The paper submits that the level of use of ODMI ought to match the level of complexity of the manufacturing environment. The paper puts forward the hypothesis that when a misfit occurs between ODMI and complexity (high use of ODMI practices in low complexity environments or low use of ODMI practices in high complexity environments) manufacturing operational performance declines.

The paper tests the hypothesis based on a survey database of 725 manufacturers from 21 countries. The measurement model was assessed with confirmatory factor analysis and the hypothesis was tested with linear regression.

A misfit between the level of ODMI use (job rotation and co-location) and manufacturing complexity (product and process complexity) has a negative effect on manufacturing operational performance dimensions of quality, delivery and flexibility. Post hoc analyses also suggest that firms that operate in different environments in what concerns the rate of change in process technologies suffer differentiated negative impacts of ODMI-complexity misfit.

Future studies could extend this research to other dimensions of design-manufacturing integration, such as technological practices.

Manufacturers with high levels of complexity should invest strongly in ODMI practices. However, manufacturers with low levels of complexity should invest in these practices with caution since the expected payoffs may not outweigh the effort.

The study assesses fit as a simultaneous set of contingency factors, applying profile-deviation analysis to ODMI and operational performance relationships. By focusing on plant-level manufacturing complexity, this study complements existing studies of product development complexity which tend to focus on project-level complexity.

This paper aims to offer evidence-based findings on the under-researched role of finance in the sales and operations planning (S&OP) process, aiming to guide academics and practitioners towards successful S&OP implementations.

The research builds upon a multiple case study, embracing five Latin American subsidiaries of four global manufacturing corporations from the consumer goods, chemical and pharmaceutical industries. Following an exploratory approach, the case study results are analysed in within- and cross-case analyses.

The research findings are synthesised into a framework, demonstrating relevant benefits from the engagement of finance along the S&OP process and the implications of its interactions with traditional S&OP functions as sales, marketing and operations. The paper shows how finance adds value in supporting the process, enabling decisions on costs, margins, capital expenditures and return on investments. Finance strengthens S&OP when assessing demand- and supply-related risks and facilitates comparing the functional business areas' plans to budget. While finance participation is highlighted as necessary for supporting successful S&OP implementations, it also receives valuable inputs in return, characterising a two-way communication role that benefits the entire organisation.

This is the first research paper focusing on empirically exploring the role of finance within S&OP, going beyond initial insights from practice and academia. It provides practitioners and scholars with an in-depth, evidence-based view of finance's integration along the S&OP process.

The purpose of this paper is to analyse the determinants of technical efficiency (TE) in dairy farms located in the South of Brazil, aiming for a better understanding of the topic for academics, dairy farmers and policymakers to improve the productivity and competitiveness of dairy farms.

This study was developed using a two-stage approach. Data envelopment analysis was used to estimate the TE level and regression models to understand the factors affecting TE in dairy farms. The sample size is 253 dairy farms in the South of Brazil.

The variation in the mean TE indexes reported in the literature can be explained by the attributes of the analysed studies, including the education of the farm operator, farm size (number of cows and milk), feed and labour costs, and use of services. Additionally, the results suggest that dairy farmers in the sample could increase milk output by 50.1 per cent (level of inefficiency) on average if they improve their TE.

This study makes three important contributions: first, it formulates hypotheses from the previous literature’s propositions on the estimation of TE in dairy farms; second, it tests the hypotheses in an empirical study to understand the main factors affecting the TE in dairy farms of the selected municipalities in the South of Brazil; and third, it compares previous findings on the determinants of TE in dairy farms serving different stakeholders, such as researchers, farmers and government representatives, to improve the productivity and competitiveness of dairy farms.

This paper provides a five-step Enterprise Architecture Management (EAM) approach to systematically guide the development and implementation of contextualised Sales and Operations Planning (S&OP) designs.

A case study is conducted at a European chemical manufacturer. The research applies the five-step approach, embracing the descriptive and prescriptive EAM functions combined with the lens of contingency theory.

The research findings demonstrate the suitability of the proposed EAM approach for the contextualisation of S&OP designs from a contingency theory perspective. Its descriptive EAM function serves to assess context-specific S&OP challenges and enables to analyse the contextual fit of S&OP designs. Its prescriptive EAM function guides the development and implementation of context-specific S&OP designs towards increasing the S&OP effectiveness. EAM's integrated view onto people, process and information technology served to analyse current practices on the dynamics of S&OP contextualisation in innovation- and quality-driven contexts. Thereby, the paper contributes to a better S&OP contingency understanding.

The EAM approach offered in this paper provides a concrete and practically applicable guidance to support managers to face their context-specific challenges and guide the contextualisation of their S&OP designs to increase the S&OP effectiveness. Moreover, practitioners can improve their understanding regarding the need for S&OP design adjustments to reflect changes in their companies' contingencies.

The research introduces a novel EAM approach for S&OP contextualisation, particularly reflecting contingency theory's dynamic view of structural adjustments to regain fit (SARFIT).

This paper explores how organizational capabilities and path dependence affect the implementation of supply chain (SC) sustainability initiatives. Through the lenses of contingency and evolutionary theory, the paper addresses the underexplored supply chain dynamics that enhance or inhibit sustainability trajectories.

Using in-depth multi-case studies for theory elaboration, five supply chains were studied through open-ended interviews with SC members, secondary data collection and site visit observation. The design consists of a combination of deductive and inductive approaches to elaborate theory on supply chain dynamics and enhanced sustainability trajectories.

The empirical study shows that learning is a fundamental condition for supply chains as they implement sustainability initiatives, and that exploitation capabilities are more frequently used than exploration capabilities. Path dependence plays a role in the outcomes of supply chain sustainability initiatives, which are influenced by both path dependence and contingencies of the contexts in which these systems operate.

This paper puts forward five propositions that emerge from the literature and from the field study results. Although this is an exploratory research bounded by geographical limitations and the limited number of SC cases, the goal of elaborating theory may open up several promising avenues for future large-scale and longitudinal research studies.

By enhancing our understanding of the dynamics of supply chain sustainability trajectories, decision-makers, scholars and policy-makers can better understand how supply chains learn, how they employ SC member capabilities and how they deal with stakeholder resistance.

This paper extends supply chain sustainability theory by addressing the knowledge gap that exists with regard to understanding the dynamics of evolving supply chain sustainability trajectories. This paper sheds additional light on this important topic and contributes in multiple ways to the sustainable supply chain management literature.

The purpose of this paper is to provide a systematic review of the literature on Collaborative Planning, Forecasting and Replenishment (CPFR). The review emphasises the descriptors of CPFR implementation and models, as well as the impact of CPFR and other supply chain collaboration (SCC) initiatives on supply chain (SC) performance.

The systematic review includes 50 full-text papers retrieved from four databases: Emerald, EBSCO, ScienceDirect and Wiley. Rigorous and verifiable keywords, review steps and selection criteria were applied to the database and inter-coders agreement was systematically checked.

There is no consensus regarding the breadth and scope of CPFR configurations. CPFR is context-dependent and varies according to the configuration of the SC. Trust, information-communication technology and the quality of information sharing are main enablers and inhibitors of implementation.

Practitioners will benefit from insights related to the choice of SCC configurations (e.g. number of partners, nature of products and spatial complexity), the importance of trust and empowerment for SCC and the need to outweigh carefully the costs and benefits of specific SCC before implementation.

CPFR, which is considered by many to be the most advanced and the most comprehensive SCC process and has a direct impact upon SC performance. Nonetheless, efforts to synthesise the overall state of the art in CPFR have been rather limited to date. As an effort to fill this gap, this paper provides a better understanding of the role of CPFR as a determinant of SC performance. As an effort to contribute to complete the cycle of theory building based on the literature review, seven propositions for CPFR research are put forward.

The purpose of this research synthesis is to gather and integrate findings on Collaborative Planning Forecast and Replenishment (CPFR) as a business process and as a management practice; and to assemble quantitative evidence of its impact on supply chain (SC) performance.

The researchers independently conducted a systematic review of 629 abstracts and 47 full-text papers. Original keywords were applied to four key electronic databases for operations management and information systems. Rigorous and verifiable selection criteria governed inter-coders reliability, review of steps and exclusion of papers. Resource and dependency-based view of the firm, contingency research and maturity models informed the analysis.

There is not a single “blueprint” for CPFR. Competing models emphasize the need for “trust and confidence” and reliable data systems. The type of products, scope, spatial diversity and number of partners in the network are important contextual variables. Firm resources that are unique and advantages from multiple and reciprocal dependencies are powerful levers. There is no consensus on maturity model and on required investment in data and communication systems.

Practical implications are implementation related: cost-benefit analysis and simulations should precede full-scale collaboration. There is a consensus on starting CPFR small and expanding gradually.

This synthesis applies a rigorous review method and attempts to assemble the dispersed literature in one study, utilizing explanatory operations management and information systems theories.

The purpose of this paper is to complement and extend previous literature reviews on Technical Efficiency (TE) in dairy farms, analysing the effects of different methodologies and study-specific characteristics on Mean TE (MTE).

The researchers independently conducted a systematic review of more than 400 abstracts and 85 full-text papers. Original keywords were applied to seven key electronic databases. Results from a meta-regression analysis of 85 published papers totalling 443 TE distributions in dairy farms worldwide are discussed.

The variation in the MTE indexes reported in the literature can be explained by the methodology of estimations (method of estimation, functional form of frontier models, model dimensionality), the farms geographical location and farm size. Additionally, the results suggest that, given the state of technology prevailing in each country at the time that the studies on TE were conducted, dairy farmers in the sample could increase milk output by 20.9 per cent (level of inefficiency), on average, if they produce on their frontiers.

This study makes two important contributions: first, it updates and compares previous works on frontier estimation of TE in dairy farms; and second, it adds two dimensions of dairy farms, size (herd and land area) and economic development, to the known differentials of TE measurement.

This paper aims to improve upon the highly dispersed sales and operations planning (S&OP) research by integrating the findings of existing studies to identify and measure the size of the effect of S&OP on firm performance.

The methodology adopted was a systematic literature review of 271 abstracts and 55 papers. Three databases were selected for the search – Emerald, EBSCO, and ScienceDirect.

Although empirical evidence of the effects of S&OP in the supply chain is described, relatively few of the 55 papers reviewed estimate the effect of S&OP on firm performance. The research findings indicate a lack of unifying frameworks for the measurement of S&OP and constructs related to firm performance. The review offers partial evidence of the effect of S&OP on firm performance, suggesting the need for additional scientifically sound survey or case study research on S&OP.

Practitioners will benefit from insights related to the intermediate role of S&OP in mediating the effects of structural changes on firm performance. There is at least partial evidence that cross‐functional planning processes can mitigate the negative effect of misaligned organisational structures and contradictory incentives schemes on firm performance. Formal and informal communications between functions, networking and internal integrating roles can boost performance. Furthermore, internal alignment seems to facilitate supply chain integration with both suppliers and customers, particularly when inter‐organisational information systems favour supply chain integration.

This paper contributes to providing a better understanding of the role of S&OP as a determinant of firm performance in the supply chain.