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Supply chains in East Asia are being redesigned following the reassessment of the risk of disruption through terrorist attacks. The nature of these risks and of the costs of the private sector responses is reviewed. The research available suggests the costs incurred are substantial. Government regulation applied to security matters also applies within supply chains. It too has been redesigned in response to the change in the risk of terrorist attacks. Examples of its impacts, and its costs and benefits, are presented. Relevant empirical work remains scarce, but principles for government's role can be identified.

The aim of the research is to identify and prioritise the implementation challenges of blockchain technology and suggests ways for its implementation in supply chains.

Underlined by the technology, organisational, and external environment model, a conceptual framework with four challenge categories and sixteen challenges is proposed. Data collected from three stakeholder groups with experience in the implementation of blockchain technology in India is analysed by employing an analytical hierarchy process method-based case study. Further, a criticality–effort matrix analysis is performed to group challenges and suggest ways for implementation.

The analysis revels that all stakeholders perceive complexity challenge associated with the technology, organisational structure, and external environment, and issues of compatibility with existing systems, software, and business practices to be high on the criticality and effort scales, which thus require meticulous planning to manage. Likewise, top-management support issues related to insufficient understanding of how technology fits with the organisation’s policy and benefits offered by the technology requires high effort to address this challenge.

The results were obtained by focusing on the Indian context and therefore may not apply to other nations’ contexts.

By investigating the challenges that the developers, consultants, and client organisations need to address, this study assists managers in developing plans to facilitate coordination among these organisations for successful blockchain implementation.

To the authors’ knowledge this study is the first to identify and prioritise the challenges from the perspectives of multiple stakeholder groups with experience in blockchain technology implementation.

This study explores the scope, materiality and extent of environmental and social sustainability disclosure – as benchmarked against the Global Reporting Initiatives (GRI-G4) – of the top 10 logistics firms operating in Australia. It also investigates the relationships between the extent of environmental and social sustainability disclosure of these firms and their actual financial performance.

The authors adopted an inductive case study approach for an in-depth investigation of the relationships among concepts. A content analysis of the firms' sustainability reports was performed to determine their pattern and extent of sustainability disclosure against the GRI framework. A disclosure–performance analysis (DPA) matrix was employed to relate the extent of environmental and social sustainability disclosure of these 10 firms with their actual financial performance (i.e. return on assets [ROA] and total revenue growth).

This study found that the extent of sustainability reporting was relatively high on the labour practices and decent work subgroup, followed by the environmental dimension of the GRI-G4 framework. However, it was relatively low on the society, human rights and product responsibility subgroups of the GRI framework. The DPA revealed that “Leaders” (firms with higher sustainability disclosure levels) achieved significantly higher ROA. However, “Opportunists” (firms with lower sustainability disclosure levels) achieved higher levels of financial returns (i.e. ROA and total revenue growth) with less attention to sustainability issues, which contradicts the win-win view of the sustainability disclosure–financial performance relationship.

First, this study contributes an in-depth review of sustainability disclosure practices of top logistics firms operating in Australia. Second, using DPA, it identifies the novel effects of environmental and social sustainability disclosure levels on these firms' financial performance. It also sheds further light on the potential effect of investments beyond substantial profitability for sustainability growth and corporate governance on the sustainability disclosure–financial performance relationship.

In spite of the merits of artificial intelligence (AI) in marketing and social media, harm to consumers has prompted calls for AI auditing/certification. Understanding consumers’ approval of AI certification entities is vital for its effectiveness and companies’ choice of certification. This study aims to generate important insights into the consumer perspective of AI certifications and stimulate future research.

A literature and status-quo-driven search of the AI certification landscape identifies entities and related concepts. This study empirically explores consumer approval of the most discussed entities in four AI decision domains using an online experiment and outline a research agenda for AI certification in marketing/social media.

Trust in AI certification is complex. The empirical findings show that consumers seem to approve more of non-profit entities than for-profit entities, with the government approving the most.

The introduction of AI certification to marketing/social media contributes to work on consumer trust and AI acceptance and structures AI certification research from outside marketing to facilitate future research on AI certification for marketing/social media scholars.

For businesses, the authors provide a first insight into consumer preferences for AI-certifying entities, guiding the choice of which entity to use. For policymakers, this work guides their ongoing discussion on “who should certify AI” from a consumer perspective.

To the best of the authors’ knowledge, this work is the first to introduce the topic of AI certification to the marketing/social media literature, provide a novel guideline to scholars and offer the first set of empirical studies examining consumer approval of AI certifications.

Companies utilize increasingly capable Artificial Intelligence (AI) technologies to deliver modern services across a range of consumer service industries. AI autonomy, however, sparks skepticism among consumers leading to a decrease in their willingness to adopt AI services. This raises the question as to whether consumer trust in companies can overcome consumer reluctance in their decisions to adopt high (vs low) autonomy AI services.

Using a representative survey (N = 503 consumers corresponding to N = 3,690 observations), this article investigated the link between consumer trust in a company and consumers' intentions to adopt high (vs low) autonomy AI services from the company across 23 consumer service companies accounting for six distinct service industries.

The results confirm a significant and positive relationship between consumer trust in a company and consumers' intentions to adopt AI services from the same company. AI autonomy, however, moderates this relationship, such that high (vs low) AI autonomy weakens the positive link between trust in a company and AI service adoption. This finding replicates across all 23 companies and the associated six industries and is robust to the inclusion of several theoretically important control variables.

The current research contributes to the recent stream of AI research by drawing attention to the interplay between trust in companies and adoption of high autonomy AI services, with implications for the successful deployment and marketing of AI services.