Reinaldo Guerreiro, Sérgio Rodrigues Bio and Elvira Vazquez Villamor Merschmann
This paper aims to assess the usefulness of cost‐to‐serve for customer profitability management through literature review and a case study in a food‐industry company.
Abstract
Purpose
This paper aims to assess the usefulness of cost‐to‐serve for customer profitability management through literature review and a case study in a food‐industry company.
Design/methodology/approach
The research is based on a case study. The study presents the state‐of‐the‐art of the literature review related to cost‐to‐serve measurement and customer profitability analysis and a case study of a Brazilian food‐industry company with high operational complexity and an extensive customer product and commercial service line.
Findings
The literature review demonstrates that few empirical studies have actually addressed the problem of cost‐to‐serve measurement and customer profitability analysis. The findings of the study show that the measurement of cost‐to‐serve provides specific and detailed customer information that enables a more comprehensive customer profitability analysis than the classical paradigm.
Research limitations/implications
A single case study does not allow the results to be generalized to other organizations.
Originality/value
The paper includes a comprehensive review of literature and the empirical case study in a Brazilian food company offers additional insights in cost‐to‐serve measurement and customer profitability analysis.
Details
Keywords
Maicom Sergio Brandao, Moacir Godinho Filho, Gilberto Miller Devós Ganga and Jorge Renato Verschoore
This study aims to unravel the complex coopetitive interactions in supply chains. It delves into the paradoxical relationship between cooperative and competitive interactions…
Abstract
Purpose
This study aims to unravel the complex coopetitive interactions in supply chains. It delves into the paradoxical relationship between cooperative and competitive interactions among supply chain entities, offering a comprehensive exploration of coopetition’s manifestations and management across various supply chain types.
Design/methodology/approach
The study uses a three-phase methodology, beginning with a scoping review to establish a theoretical framework, followed by a systematic literature review yielding 130 papers and concluding with correspondence analysis using similarity indexes. This approach facilitates a deep dive into the diverse aspects of coopetition, including its drivers, practices, outcomes and associated risks.
Findings
The research identifies three distinct types of coopetition in supply chains: technology-based, socially based and channel-based. These models are underscored by specific drivers and outcomes, with technology-based coopetition focusing on market competitiveness and operational capacity, socially based on trust and power dynamics and channel based on product characteristics. The study introduces five propositions for further investigation and provides a comprehensive typology of coopetition within supply chains.
Research limitations/implications
The study’s findings are limited by the scope of the existing literature and the chosen academic databases. Future research should empirically validate the proposed coopetition configurations and propositions, exploring their applicability in other, less studied supply chains.
Practical implications
The study offers practitioners a valuable typology and framework to understand and manage coopetition in their respective supply chains. This typology serves as a decision-making tool for identifying suitable coopetition strategies and maximizing their benefits while mitigating associated risks.
Originality/value
This study stands out for its unique approach to categorizing coopetition in supply chains, offering a novel typology that goes beyond the manufacturer’s perspective. It fills a significant gap in the literature by providing a broad view of coopetition, considering various supply chain types and their respective coopetitive dynamics.
Details
Keywords
Edgar Nave, Paulo Duarte, Ricardo Gouveia Rodrigues, Arminda Paço, Helena Alves and Tiago Oliveira
In recent years, the craft beer (CB) industry has gained impetus and has experienced significant growth in scientific publications. This study aims to present a systematic review…
Abstract
Purpose
In recent years, the craft beer (CB) industry has gained impetus and has experienced significant growth in scientific publications. This study aims to present a systematic review of the literature on CB in areas related to economic and business sciences.
Design/methodology/approach
Based on the data from Scopus, Web of Science and a set of articles not indexed to these databases until June 2021, a total of 132 articles were included for analysis, using bibliometric and content analysis techniques.
Findings
The study allowed us to identify that CB has four main clusters/themes of research, namely, CB industry and market, marketing and branding, consumer behavior and sustainability. Detailed information on the clusters is provided. In addition, the results showed that publications addressing CB have grown significantly from 2015 onwards and are dispersed across many journals, with none assuming a clear leadership. Quantitative approaches account for more than half of publications.
Research limitations/implications
This study is a useful guide for academics intending to develop studies with CB. It provides a framework to structure future research by identifying existing literature clusters and proposes several research propositions.
Practical implications
The findings from this study are useful for CB companies to get an overview of the main issues affecting the CB industry and market to be able to adapt their strategies and stay aligned with market tendencies in the four main clusters identified.
Originality/value
This is the first systematic review of CB. Therefore, it provides a significant contribution to frame and strengthening the literature on CB and serves as a reference for future research. Based on the content analysis and cluster identification, the findings portray the status of current research. Accordingly, a set of research opportunities are offered.