Osvaldo de Souza, Marcio C. Machado, Victor Silva Correa and Renato Telles
This paper aims to explore the formal (i.e. contracts, standards, processes, and structure) and informal (i.e. social structure, norms, information sharing, and value system and…
Abstract
Purpose
This paper aims to explore the formal (i.e. contracts, standards, processes, and structure) and informal (i.e. social structure, norms, information sharing, and value system and culture) governance instruments used in supply networks and their influence on quality.
Design/methodology/approach
This research is qualitative-exploratory in nature, involving semi-structured interviews with 20 managers from three essential layers in the dairy industry's supply chain: companies that supply essential inputs to milk producers; milk producers; and milk cooperatives.
Findings
Analysis of the generated data show that formal governance instruments have a strong and/or weak influence on products' and operations' quality in the dairy industry context; informal instruments have a strong and/or weak influence on quality, as a counterpart to formal instruments; and the integration of verified governance instruments positively influences the quality of products and operations.
Practical implications
This paper offers several managerial and practical implications. The first is to encourage suppliers of primary inputs and milk producers to invest in the formal structure, primarily in formal contracts with each other. The second implication suggests the relevance of creating different training and qualification courses with members from all organizational levels. Third, there is a need for cooperatives, encompassing all industries, to consider several informal instruments, complementary to contracts and standards currently used for processes.
Originality/value
Governance instruments can lead to desired supply chain outcomes, including those related to quality. Although previous supply chain studies have investigated the relationship between governance instruments and the supply chain, and quality management and the supply chain, studies on governance instruments' influence on supply chain quality are limited.
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Patrícia Maria Bozola, Thais V. Nunhes, Luís César Ferreira Motta Barbosa, Marcio C. Machado and Otavio José Oliveira
In 2016, the ISO/TS 16949 quality management standard for the automotive industry evolved to IATF 16949. The update brought new requirements that need to be analyzed before being…
Abstract
Purpose
In 2016, the ISO/TS 16949 quality management standard for the automotive industry evolved to IATF 16949. The update brought new requirements that need to be analyzed before being implemented in organizations. Therefore, the purpose of this article is to propose guidelines to assist organizations in the automotive sector in the implementation of the elements added in the update to the IATF 16949 standard.
Design/methodology/approach
To fulfill this objective, the identification and analysis of the elements added in the evolution from ISO/TS 16949 to IATF 16949 was carried out, and four case studies were conducted in Brazilian automotive companies.
Findings
The main elements added to IATF 16949 with the update of the standard are the use of process failure mode effects analysis (PFMEA) for risk analysis; the development of a communication channel for employees to report cases of misconduct and non-conformities; procedures for controlling repaired/reworked products and temporary changes; and the inclusion of autonomous maintenance for the full implementation of total productive maintenance (TPM).
Originality/value
The main practical implication/contribution of the research is the proposed guidelines, which can support managers and automotive companies that want to implement, or will go through, the IATF certification process. The article's originality lies in the combination of a theoretical framework and case study analyses to develop the guidelines.
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Marcio C. Machado, Renato Telles, Paulo Sampaio, Maciel M. Queiroz and Ana Cristina Fernandes
The purpose of this paper is to present a conceptual framework for performance measurement (PM) for the integration of supply chain management (SCM) and quality management (QM).
Abstract
Purpose
The purpose of this paper is to present a conceptual framework for performance measurement (PM) for the integration of supply chain management (SCM) and quality management (QM).
Design/methodology/approach
A systematic literature review on SCM and QM was conducted to develop key performance measures related to six areas of integration between QM and SCM: leadership; continuous improvement and innovation; sustainability performance; stakeholders; information system; and management and strategic planning.
Findings
Supported by the literature concerning to supply chain quality management (SCQM) integration, a set of nine propositions about performance measures, that contribute to the integration of SCQM, were developed.
Originality/value
This study contributes to QM practices within a supply chain environment from an integrated perspective. Additionally, the propositions have significant implications from both managerial and theoretical perspectives. This study also extends the concept of supply chain quality integration by focusing on key aspects of PM that may help to improve the overall performance of the supply chain.
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Saturnina Alves da Silva Martins, Marcio C. Machado, Maciel M. Queiroz and Renato Telles
Recent literature has highlighted the importance of quality and governance in supply networks. Usually, the relationships between the actors are complex, comprising both formal…
Abstract
Purpose
Recent literature has highlighted the importance of quality and governance in supply networks. Usually, the relationships between the actors are complex, comprising both formal and informal interactions. Despite recent advances in quality and governance in supply networks, extant literature highlights the lack of quality in healthcare supply-chain networks in relation to governance mechanisms. This paper aims to investigate the role of governance mechanisms and their influence on the quality of healthcare supply networks, and assumes that governance instruments can support quality performance.
Design/methodology/approach
A multiple-case research approach was employed. Six organisations in the Brazilian healthcare sector were analysed (four operate only with renal replacement therapy, one is a material supplier, and one operates with renal replacement therapy and collective procurement).
Findings
Findings showed that there is no formalised supply network structure in these organisations. A possible consequence of this is that the supply-network governance is dominated by informal relationships. In the quality dimension, managers' awareness is limited, but there are mechanisms in place to control the quality of the materials.
Practical implications
Healthcare managers can actively invest in the social aspects of the relationship between buyer and supplier, such as trust and commitment, thus increasing responsiveness in patient care. However, this informal procedure can lead to problems with tracking and reliability, ultimately leading to quality problems. Therefore, it is recommended that formal and informal governance instruments be used jointly to improve service quality.
Originality/value
This study suggests that the integration of formal and informal mechanisms of governance can improve the quality of supply networks. Additionally, if the administrative process is purely formal, network relationships and their efficiency will be impaired.
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Maciel M. Queiroz, Samuel Fosso Wamba, Marcio C. Machado and Renato Telles
The Industry 4.0 phenomenon offers opportunities and challenges to all business models. Despite the literature advances in this field, little attention has been paid to the…
Abstract
Purpose
The Industry 4.0 phenomenon offers opportunities and challenges to all business models. Despite the literature advances in this field, little attention has been paid to the interplay of smart production systems (SPSs), big data analytics (BDA), cyber-physical systems (CPS), internet of things (IoT), and the potential business process management (BPM) improvements. This study aims to identify the main drivers and their implications for improved BPM.
Design/methodology/approach
This study employed a narrative literature review of studies concerning smart-production-systems-related issues in the context of Industry 4.0.
Findings
The study identified 26 drivers from the literature associated with SPSs that have an impact on improved BPM. These drivers are presented in an integrative framework considering BDA, CPS, and the IoT.
Research limitations/implications
The framework's component integration is yet not tested. However, this study offers a significant theoretical contribution by presenting drivers that can be utilised to develop constructs, exploring critical factors related to the interplay of SPSs and improved BPM, and shading light on Industry 4.0's main elements. The study also makes suggestions for further research.
Practical implications
The proposed framework, with its 26 drivers, provides insights for practitioners and decision-makers interested in gaining an in-depth understanding of the complexities of SPSs and improved BPM.
Originality/value
This study integrates BDA, CPS, and IoT into a framework with 26 drivers associated with SPSs to improve BPM.
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Maciel M. Queiroz, Susana Carla Farias Pereira, Renato Telles and Marcio C. Machado
The Industry 4.0 phenomenon is bringing unprecedented disruptions for all traditional business models and hastening the need for a redesign and digitisation of activities. In this…
Abstract
Purpose
The Industry 4.0 phenomenon is bringing unprecedented disruptions for all traditional business models and hastening the need for a redesign and digitisation of activities. In this context, the literature concerning the digital supply chain (DSC) and its capabilities are in the early stages. To bridge this gap, the purpose of this paper is to propose a framework for digital supply chain capabilities (DSCCs).
Design/methodology/approach
This paper uses a narrative literature approach, based on the main Industry 4.0 elements, supply chain and the emerging literature concerning DSC disruptions, to build an integrative framework to shed light on DSCCs.
Findings
The study identifies seven basic capabilities that shape the DSCC framework and six main enabler technologies, derived from 13 propositions.
Research limitations/implications
The proposed framework can bring valuable insights for future research development, although it has not been tested yet.
Practical implications
Managers, practitioners and all involved in the digitalisation phenomenon can utilise the framework as a starting point for other business digitalisation projects.
Originality/value
This study contributes to advancing the DSC literature, providing a well-articulated discussion and a framework regarding the capabilities, as well as 13 propositions that can generate valuable insights for other studies.
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Serge-Lopez Wamba-Taguimdje, Samuel Fosso Wamba, Jean Robert Kala Kamdjoug and Chris Emmanuel Tchatchouang Wanko
The main purpose of our study is to analyze the influence of Artificial Intelligence (AI) on firm performance, notably by building on the business value of AI-based transformation…
Abstract
Purpose
The main purpose of our study is to analyze the influence of Artificial Intelligence (AI) on firm performance, notably by building on the business value of AI-based transformation projects. This study was conducted using a four-step sequential approach: (1) analysis of AI and AI concepts/technologies; (2) in-depth exploration of case studies from a great number of industrial sectors; (3) data collection from the databases (websites) of AI-based solution providers; and (4) a review of AI literature to identify their impact on the performance of organizations while highlighting the business value of AI-enabled projects transformation within organizations.
Design/methodology/approach
This study has called on the theory of IT capabilities to seize the influence of AI business value on firm performance (at the organizational and process levels). The research process (responding to the research question, making discussions, interpretations and comparisons, and formulating recommendations) was based on a review of 500 case studies from IBM, AWS, Cloudera, Nvidia, Conversica, Universal Robots websites, etc. Studying the influence of AI on the performance of organizations, and more specifically, of the business value of such organizations’ AI-enabled transformation projects, required us to make an archival data analysis following the three steps, namely the conceptual phase, the refinement and development phase, and the assessment phase.
Findings
AI covers a wide range of technologies, including machine translation, chatbots and self-learning algorithms, all of which can allow individuals to better understand their environment and act accordingly. Organizations have been adopting AI technological innovations with a view to adapting to or disrupting their ecosystem while developing and optimizing their strategic and competitive advantages. AI fully expresses its potential through its ability to optimize existing processes and improve automation, information and transformation effects, but also to detect, predict and interact with humans. Thus, the results of our study have highlighted such AI benefits in organizations, and more specifically, its ability to improve on performance at both the organizational (financial, marketing and administrative) and process levels. By building on these AI attributes, organizations can, therefore, enhance the business value of their transformed projects. The same results also showed that organizations achieve performance through AI capabilities only when they use their features/technologies to reconfigure their processes.
Research limitations/implications
AI obviously influences the way businesses are done today. Therefore, practitioners and researchers need to consider AI as a valuable support or even a pilot for a new business model. For the purpose of our study, we adopted a research framework geared toward a more inclusive and comprehensive approach so as to better account for the intangible benefits of AI within organizations. In terms of interest, this study nurtures a scientific interest, which aims at proposing a model for analyzing the influence of AI on the performance of organizations, and at the same time, filling the associated gap in the literature. As for the managerial interest, our study aims to provide managers with elements to be reconfigured or added in order to take advantage of the full benefits of AI, and therefore improve organizations’ performance, the profitability of their investments in AI transformation projects, and some competitive advantage. This study also allows managers to consider AI not as a single technology but as a set/combination of several different configurations of IT in the various company’s business areas because multiple key elements must be brought together to ensure the success of AI: data, talent mix, domain knowledge, key decisions, external partnerships and scalable infrastructure.
Originality/value
This article analyses case studies on the reuse of secondary data from AI deployment reports in organizations. The transformation of projects based on the use of AI focuses mainly on business process innovations and indirectly on those occurring at the organizational level. Thus, 500 case studies are being examined to provide significant and tangible evidence about the business value of AI-based projects and the impact of AI on firm performance. More specifically, this article, through these case studies, exposes the influence of AI at both the organizational and process performance levels, while considering it not as a single technology but as a set/combination of the several different configurations of IT in various industries.
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André de Mendonça Santos, Ângelo Márcio de Oliveira Sant'Anna, Ava Santana Barbosa, Adriano Machado Becker and Néstor Fabián Ayala
In the Industry 4.0 (I4.0) era, small and medium enterprises (SMEs) face significant pressure to make their manufacturing operations more sustainable. However, SMEs often lack the…
Abstract
Purpose
In the Industry 4.0 (I4.0) era, small and medium enterprises (SMEs) face significant pressure to make their manufacturing operations more sustainable. However, SMEs often lack the knowledge and information needed to leverage I4.0 technologies for achieving sustainability. This paper aims to develop a multi-criteria decision-making (MCDM) model to prioritize sustainability functions supported by I4.0 technologies in SMEs.
Design/methodology/approach
The fuzzy-DEMATEL method was developed to classify sustainability functions based on their prominence and influence, categorizing them into cause-and-effect groups. Experts in I4.0 technologies, sustainability and SMEs from Brazil were consulted during the data collection phase. Sensitivity analysis was also performed to validate the results obtained through the DEMATEL method.
Findings
The results indicate that the most prominent and influential sustainability functions include organizing production processes, employee skill development and simplifying production planning and control. Therefore, investing in I4.0 technologies to support these functions can enable SMEs to amplify the impact of their sustainability initiatives and improve operational efficiency. The authors also observed that improving quality monitoring is the primary function within the effect group.
Practical implications
This paper serves as a roadmap for SME managers seeking to enhance the effectiveness of their sustainability practices using I4.0 technologies, thereby maximizing impact while minimizing the complexity of implementation.
Originality/value
This study ranks key sustainability functions as actions and practices that SMEs can implement using I4.0 technologies to achieve sustainability. It also identifies the most prominent and influential functions managers should prioritize when investing in I4.0 technologies.
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Mara Cristina Cardoso de Oliveira, Marcio Cardoso Machado, Charbel Jose Chiappetta Jabbour and Ana Beatriz Lopes de Sousa Jabbour
Circular economy is an emerging concept which requires insights from a variety of disciplines, especially from sustainable operations management. Therefore, the purpose of this…
Abstract
Purpose
Circular economy is an emerging concept which requires insights from a variety of disciplines, especially from sustainable operations management. Therefore, the purpose of this paper is to verify how formal and informal instruments of governance influence the induction of green practices in a green network located in Brazil, with implications for the circular economy.
Design/methodology/approach
Based on a review of the supply chain (SC), green supply chain management, and governance literature, proposals are made regarding the influence of governance instruments in inducing green practices. To investigate these propositions, a qualitative research was conducted using a single exemplary case study of a cosmetics supply network.
Findings
The authors present original research findings which have both expected and unexpected implications for the circular economy, due to the fact that the data analysis showed that the formal (contracts and environmental norms) and informal (trust and cooperation) instruments of governance positively influence the induction of green practices within the supply network.
Originality/value
This study contributes to supply network and governance theory by providing insights for better understanding of how governance instruments can induce green practices in a supply network, and it provides practical implications for SC managers, by showing the importance of considering different governance instruments. Implications for the circular economy are made.
Details
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Guilherme Juliani de Carvalho, Marcio Cardoso Machado and Victor Silva Correa
This study uses the antecedents, decisions and outcomes (ADO) framework to identify how perceived risks and benefits relate to the omnichannel strategy and influence consumer…
Abstract
Purpose
This study uses the antecedents, decisions and outcomes (ADO) framework to identify how perceived risks and benefits relate to the omnichannel strategy and influence consumer behavior.
Design/methodology/approach
A systematic review was conducted on 111 articles (2014–2023) on Scopus using NVivo® software for content analysis.
Findings
The literature on omnichannel is fragmented between journals and lines of research, making it difficult to identify influential journals in the area and preventing effective convergence. When the perception of risk is greater than the perception of benefits, companies must understand how to mitigate the risk, so that the adoption of an omnichannel strategy is not canceled.
Research limitations/implications
The review is limited to one database and does not consider specific products/services or consumer profiles.
Originality/value
This review broadens understanding of omnichannel from a perspective neglected by researchers, namely risks and benefits and their impacts on organizational results. The model will clarify how the literature on omnichannel has evolved and instigate new research.