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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.

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.

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.

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.

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.

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.

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.

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).

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.

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).

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.

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.

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.

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.

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 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.

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.

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.

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.

This study employed a narrative literature review of studies concerning smart-production-systems-related issues in the context of Industry 4.0.

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.

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.

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.

This study integrates BDA, CPS, and IoT into a framework with 26 drivers associated with SPSs to improve BPM.

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).

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.

The study identifies seven basic capabilities that shape the DSCC framework and six main enabler technologies, derived from 13 propositions.

The proposed framework can bring valuable insights for future research development, although it has not been tested yet.

Managers, practitioners and all involved in the digitalisation phenomenon can utilise the framework as a starting point for other business digitalisation projects.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

A systematic review was conducted on 111 articles (2014–2023) on Scopus using NVivo® software for content analysis.

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.

The review is limited to one database and does not consider specific products/services or consumer profiles.

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.

This study used a qualitative approach on five case studies in Brazilian industrial companies. The research used interviews, document analysis and on-site visits to collect and analyze data. The companies were selected based on the following criteria: operating in the industrial sector, updating their quality management system (QMS) process to ISO 9001: 2015 and agreeing to participate in this study.

This article aims to investigate the strategies of industrial companies adopted for ISO-9001:2015 certification in light of the six major advances concerning the previous version. Thus, QMS of other organizations can incorporate identified lessons learned, whether certified or not.

The main finding of the research is the systematization of a set of lessons learned in the experiences of implementing the six significant advances of ISO 9001 concerning the previous version by industrial companies in the State of São Paulo in Brazil. These lessons can and should be used by other organizations to improve their QMSs.

The practices identified in this empirical research can serve as benchmarking to assist quality managers from other companies in QMS certification based on ISO 9001: 2015 or even those not certified but interested in updating their QMSs. Therefore, lessons learned can significantly minimize efforts to improve your projects, processes, products and services. These findings can also help industrial companies improve their production efficiency and effectiveness through quality improvement.

The main novelty of the research is the consolidation of theoretical and practical analysis of the main changes in the latest version of the ISO 9001 standards. The efforts to fulfill those changes result in lessons learned. The “lessons learned” will form a new block of knowledge that will subsidize theoretical (new research) and practical (formulation of a new ISO 9001 standard and helps quality managers improve their systems).