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The purpose of this paper is to investigate and quantify the impact of product complexity, including architectural complexity, on operator learning, productivity and quality performance in both assembly and disassembly operations. This topic has not been extensively investigated in previous research.

An extensive experimental campaign involving 84 operators was conducted to repeatedly assemble and disassemble six different products of varying complexity to construct productivity and quality learning curves. Data from the experiment were analysed using statistical methods.

The human learning factor of productivity increases superlinearly with the increasing architectural complexity of products, i.e. from centralised to distributed architectures, both in assembly and disassembly, regardless of the level of overall product complexity. On the other hand, the human learning factor of quality performance decreases superlinearly as the architectural complexity of products increases. The intrinsic characteristics of product architecture are the reasons for this difference in learning factor.

The results of the study suggest that considering product complexity, particularly architectural complexity, in the design and planning of manufacturing processes can optimise operator learning, productivity and quality performance, and inform decisions about improving manufacturing operations.

While previous research has focussed on the effects of complexity on process time and defect generation, this study is amongst the first to investigate and quantify the effects of product complexity, including architectural complexity, on operator learning using an extensive experimental campaign.

This article examines the ways in which the popular music industry markets artists through integrated transmedia marketing campaigns. These campaigns unfold across multiple media and create multiple pathways for audience engagement, particularly fan engagement, across social media platforms. The purpose is to further theorise the relationship between artists, the music industry and audiences.

The study used digital ethnography to scrutinise the activities within a contemporary music transmedia marketing campaign, focusing on the release of Taylor Swift's album Reputation as an illustrative case.

The study demonstrates how strategically curated activities encompass platforms' affordances and industry events by making use of fan engagement across social media platforms and streaming services. Fans shift through platforms, as well as across digital and physical spaces, through defined marketing activities at specific times. This article proposes the concept of choreographed engagement to specifically address the ways in which the temporal and spatial aspects of social media marketing are used at the intersection of platform logic, algorithm economy and fan engagement to reach wider audiences.

By proposing the concept of choreographed engagement, the authors bridge the gap between fan practices and marketing practices, providing insight into how commodification of fan engagement is utilised spatially and temporally within the contemporary platform economy. Choreographed engagement constitutes a significant aspect of strategic communication and marketing. The term expands the vocabulary used in the debate on the commodification of artistic work, and audience engagement in the platform era.

Some studies and reports have recently suggested using blockchain technology to improve transparency and trust in humanitarian supply chains (HSCs). However, evidence-based studies to display the utility and applicability of blockchains in HSCs are missing in the literature. This paper aims to investigate the key drivers and barriers of blockchain application to HSCs and explore whether evidence could support that the application of blockchain improves transparency and trust in HSCs.

This paper puts forward a two-stage approach to explore the blockchain application in HSCs: an initial exploration of humanitarian practitioners and academicians interested in blockchain through focus group discussions; semi-structured interviews with practitioners involved at the UK Department for International Development's Humanitarian Supply Blockchain pilot project.

First, we found that main drivers include accountability, visibility, traceability, trust, collaboration, time efficiency, reducing administrative work and cross-sector partnership. Main barriers, however, are composed of engagement issues, lack of technical skills and training, lack of resources, privacy concerns, regulatory problems, pilot scalability issues and governance challenges. Second, evidence from our case study revealed the blockchain application could have added value to improve visibility and traceability, thus contributing to improve transparency. Concerning trust, evidence supports that blockchain could enhance both commitment and swift trust in the pilot study.

Our study contributes to a more understanding of added values and challenges of blockchain application to HSCs and creates a perspective for humanitarian decision-makers.

This study provides the first evidence from the actual application of blockchain technology in HSCs. The study discovered that it is still less evident in many humanitarian organizations, including medium- and small-sized nongovernmental organizations, that they engage in a direct deployment of in-house or customized blockchain-based HSC. Instead, these actors are more likely to indirectly use blockchain in HSCs through a private commercial partner.