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Grounded on resource dependence theory, the authors explored how power and dependence affect sustainability adoption in an artisanal fishing supply chain (AFSC) in Mexico.

An in-depth longitudinal case study was conducted to identify relationships among fishers, a cooperative and intermediaries using a content analysis of data gathered from a combination of interviews, focus groups, observations, participatory workshops and secondary data.

As a result of the existing power imbalance among AFSC members, mediated forces (e.g. rewards for intermediary–fishers relationship) were the most prominent observed. In addition, a close and high dependence on resources affecting supply chain sustainability (SCS) adoption was identified. For example, within intermediary–cooperative relationships, a power imbalance caused mostly by financial resource dependence generated a negative impact on economic sustainability related to unfair prices and unfair trade. The results, thus, showed the detrimental influence of intermediaries among AFSC members on SCS adoption.

A greater understanding of power imbalance and dependence can help AFSC members to identify their weaknesses and develop actions to adopt sustainability.

Unlike previous research, the authors go beyond the often positive research focus of SCS studies and provide, through the resource dependence theory, a longitudinal view on how power imbalance negatively affects SCS adoption.

This pathway paper offers research guidance for investigating illegal supply chains as they increasingly threaten societies, economies and ecosystems. There are implications for policy makers to consider incorporating supply chain expertise.

The authors’ work is informed by the team's previous and ongoing studies, research from fields such as criminology, investigative journalism and legal documents.

Illegality occurs in many supply chains and consists in multiple forms. Certain sectors, supply chain innovations, longer supply chains, and heterogeneous regulations and enforcement exacerbate illegal activities. But illegal activity may be necessary for humanitarian, religious or nationalistic reasons. These areas are under explored by supply chain researchers.

By encouraging supply chain academics to research in this area as well as form collaborative partnerships outside of the discipline, the authors hope to move the field forward in prevention as well as learning from illegal supply chains.

Practitioners seek to prevent issues like counterfeiting with their products as well as fraud for economic and reputational reasons.

Governments strive to minimise impacts on their economies and people, and both governments and NGOs attempt to minimise the negative social and environmental impacts. Policy makers need supply chain researchers to evaluate new laws to prevent enabling illegality in supply chains.

As an under-explored area, the authors suggest pathways such as partnering with other disciplines, exploring why these supply chains occur, considering other data sources and methodologies to interdict illegality and learning from illegal supply chains to improve legal supply chains.

This paper explores how conflicting institutional logics shape the behaviors of macro- and micro-level actors in their use of a calculative practice. Thereby, this paper explains how quantification can undermine the intended purpose of a governance system based on a single number.

The study draws upon the literature on calculative practices and institutional logics to present the case of how a single number—specifically the conversion factor for Atlantic Cod, established by macro-level actors for the purposes of governance within the Norwegian fishing industry—is interpreted and used by micro-level actors in the industry. The study is based on documents, field observations and interviews with fishers, landing facilities, and control authorities.

The use of the conversion factor, while intended to protect fish stock and govern industry actions, does not always align with the institutional logics of micro-level actors. Especially during the winter season, these actors may seek to serve their interests, leading to potential system gaming. The reliance on a single number that overlooks seasonal nuances can motivate unintended behaviors, undermining the governance system’s intentions.

Integrating the literature on calculative practices with an institutional logics perspective, this study offers novel insights into the challenges of using quantification for the governance of complex industries. In particular, the paper reveals that when the logics of macro- and micro-level actors conflict in a single-number governance system, unintended outcomes arise due to a domination of the macro-level logics.

Artificial intelligence and augmented reality are two key tools gaining importance in the digital era due to their wide range of applications in different fields and sectors. Industry 4.0 lays emphasis principally on the technology used to help the business remain competitive and sustainable. Sustainable development goals are another important objective of the UN which has laid responsibility for every business to support addressing the global challenges. Purpose: This chapter essentially aims to present the standpoint of artificial intelligence and augmented reality in meeting the sustainability perspective of organizations. Information about the study is gathered through secondary approaches, critically reviewing published literature, scientific reports, and statistical data accessible through business reports, and corporate websites. Further analyzed to present the perspectives of the authors in the study. Globally artificial intelligence market size is predicted to reach $190 billion by 2025, while the funding for startups doubled during the period 2011–2020 globally. The investment in artificial intelligence is going to reach $500 by 2024 resulting in substantial revenue returns. The augmented reality market size could reach $97 billion by 2028. Artificial intelligence today is increasingly used in many fields and is attracting multiple applications in many sectors such as manufacturing, retail, education, IT, and health care and has also contributed to sustainable development the same time by providing energy conservation options, optimization, and reduction of resources, minimizing wastage, offering timely assistance on maintenance schedules, practices which are enabling organizations to reach closer to sustainability and transformation.

In the case of money laundering (ML) originating from the predicate crime of corruption, law enforcers find it difficult to prove all or the existence of a predicate crime on assets that produce assets. This paper aims to analyze ML in corruption cases in Indonesia.

This research uses qualitative descriptive methods. This research discusses the law enforcement of corruption which coincides with the crime of ML.

New findings were discovered where against the corruption case which was carried out concurrently with the crime of money laundering, the value of which was Rp. 1bn and above and has been handled by investigators from the Corruption Eradication Commission (KPK), so the prosecution process is carried out by the public prosecutor from the KPK to continue the trial to the Corruption Court. With respect to cases of criminal acts of corruption, which were carried out concurrently with ML crimes, the value of which was Rp. 1bn and below and had been handled by the prosecutor’s investigators from the start, the prosecution process was carried out by the public prosecutor from the prosecutor’s office to continue the trial to the corruption court.

To the best of the authors’ knowledge, this is the first study to use normative perspective on ML in corruption cases (white-collar crime). In contrast to previous studies that take fraud in general as an object of research, researchers are now interested in focusing more research on detecting suspected ML crimes: a case study on corruption cases in Indonesia.

Digital supply chains require nascent technologies like blockchain and Internet of Things (IoT). There is a need to develop a roadmap for the implementation of these technologies, as they require a huge amount of resources and infrastructure. The purpose of this paper is to analyze the challenges of implementing blockchain-IoT integrated architecture in the green supply chain and develop strategies for the same.

After a thorough literature survey of Scopus-indexed journals and books, 37 barriers were identified, which were then brought down to 15 barriers after confirming with industry and academic experts using the Delphi method. Using the total interpretive structural modeling (TISM) method and cross-impact matrix multiplication applied to classification (MICMAC) analysis, the barriers were modeled, and finally, strategies were formulated using a concept map to handle the barriers in the blockchain-IoT integrated architecture for a green supply chain.

This paper presents the research on barriers that can be considered for incorporating blockchain and IoT in the green supply chain. It was found from the TISM model that environmental concerns are Level-1 barriers and need to be addressed by developing appropriate technology and allocating funds for the same. An integrated ecosystem with blockchain and IoT is developed.

The focus of this study was on the challenges of blockchain and IoT; hence, it is required to extend the research and find challenges for different industries and also analyze the criteria using other multi-criteria decision-making (MCDM) methods. Further research is required for the integration of blockchain-IoT with supply chain functions.

The transformation of a traditional supply chain into a green supply chain is possible with the integration of technologies. This research work and the strategies developed are useful to managers and practitioners working on technology implementation. Planning resources and addressing key barriers is possible with the concept maps and architecture developed.

Green supply chain management (SCM) is gaining importance in industry as well as the academic sector due to government Policies and norms worldwide for reducing emissions and encouraging environment-friendly production systems. Incorporating blockchain and IoT in a green supply chain will further digitize and increase transparency in supply chains.

We have done a categorization of all barriers based on the expert survey by academicians and industry experts from industries in India. The concept map helps in identifying possible solutions for the challenges and initiatives to be taken for the smooth integration of technologies in the green supply chain.

This study aims to examine the blockchain landscape in supply chain management by drawing insights from academic and industry literature. It identifies the key drivers, categorizes the products involved and highlights the business values achieved by early adopters of blockchain technology within the supply chain domain. Additionally, it explores fingerprinting techniques to establish a robust connection between physical products and the blockchain ledger.

The authors combined the interpretive sensemaking systematic literature review to offer insights into how organizations interpreted their business challenges and adopted blockchain technology in their specific supply chain context; content analysis (using Leximancer automated text mining software) for concept mapping visualization, facilitating the identification of key themes, trends and relationships, and qualitative thematic analysis (NVivo) for data organization, coding and enhancing the depth and efficiency of analysis.

The findings highlight the transformative potential of blockchain technology and offer valuable insights into its implementation in optimizing supply chain operations. Furthermore, it emphasizes the importance of product provenance information to consumers, with blockchain technology offering certainty and increasing customer loyalty toward brands that prioritize transparency.

This research has several limitations that should be acknowledged. First, there is a possibility that some relevant investigations may have been missed or omitted, which could impact the findings. In addition, the limited availability of literature on blockchain adoption in supply chains may restrict the scope of the conclusions. The evolving nature of blockchain adoption in supply chains also poses a limitation. As the technology is in its infancy, the authors expect that a rapidly emerging body of literature will provide more extensive evidence-based general conclusions in the future. Another limitation is the lack of information contrasting academic and industry research, which could have provided more balanced insights into the technology’s advancement. The authors attributed this limitation to the narrow collaborations between academia and industry in the field of blockchain for supply chain management.

Practitioners recognize the potential of blockchain in addressing industry-specific challenges, such as ensuring transparency and data provenance. Understanding the benefits achieved by early adopters can serve as a starting point for companies considering blockchain adoption. Blockchain technology can verify product origin, enable truthful certifications and comply with established standards, reinforcing trust among stakeholders and customers. Thus, implementing blockchain solutions can enhance brand reputation and consumer confidence by ensuring product authenticity and quality. Based on the results, companies can align their strategies and initiatives with their needs and expectations.

In essence, the integration of blockchain technology within supply chain provenance initiatives not only influences economic aspects but also brings substantial social impacts by reinforcing consumer trust, encouraging sustainable and ethical practices, combating product counterfeiting, empowering stakeholders and contributing to a more responsible, transparent and progressive socioeconomic environment.

This study consolidates current knowledge on blockchain’s capacity and identifies the specific drivers and business values associated with early blockchain adoption in supply chain provenance. Furthermore, it underscores the critical role of product fingerprinting techniques in supporting blockchain for supply chain provenance, facilitating more robust and efficient supply chain operations.