Cam Tu Nguyen

The rapid growth of e-commerce and surges in shipment volumes have increased the pressure on transport systems, requiring innovations in collaborative logistics where consumers participate in dual roles as receivers and deliverers. However, existing research often addresses these roles in isolation, overlooking the flexibility with which users switch between them. Moreover, the literature has focused predominantly on monetary value in paid crowdsourced or social value in free social delivery, without fully exploring how users perceive value across both models. Addressing these gaps, this study profiles users of collaborative logistics services from both receiver and deliverer perspectives and examines their motivations in paid and unpaid delivery contexts. Based on survey data from 493 participants in Singapore, cluster analysis identified four distinct user segments: hesitators, potential customers, active users, and loyal advocates. The findings indicate that user preferences differ by role, with functional value prioritised in paid delivery and social value more prominent in free models. Free models attract a higher proportion of favourable users, highlighting the significance of non-monetary incentives. This study contributes to the literature by offering an integrated perspective on user roles and value perceptions and provides practical insights for developing more inclusive, community-oriented last-mile logistics solutions.

Purpose: This paper aims to investigate logistics operators’ acceptance of robots by adopting an integrated perspective of trust and technology acceptance.Design/methodology/approach: A survey instrument was developed for data collection, targeting employees from Vietnam’s manufacturing or logistics sectors. A total of 401 valid responses were collected; the data were analysed using structural equation modelling.Findings: Dispositional and situational trust positively influenced perceived usefulness and ease of use. Furthermore, dispositional and situational trust, perceived ease of use, and perceived usefulness collectively influenced trust in logistics robots. In addition, we found that trust in logistics robots positively affected operators’ acceptance intentions. Thus, the integrated perspectives of trust and technology acceptance were supported.Research limitations/implications: By focusing on the interaction between operators and logistics robots, this paper’s findings extend the technology acceptance model (TAM) and enrich the theory of trust.Practical implications: The study has significant implications for factories integrating logistics robots into production processes by elucidating the relationship between operators and logistics robots.Originality/value: Previous research has repeatedly identified trust considerations as a critical factor influencing individuals’ automated technology usage. However, the micro-level trust formation process has received limited attention. This study explains the relationship between perspectives on trust and technology acceptance.

Social media is an important driver of firm success by providing an avenue for stakeholder engagement. Operating in a highly complex and competitive environment, firms in the ship management industry can utilise social media platforms to engage with their stakeholders, which can enhance stakeholder satisfaction and loyalty. However, stakeholder engagement rates can vary, with some posts generating more engagement than others. Drawing on the perceived value and word-of-mouth psychological motivation theories, this study introduces a theoretical model to identify and examine factors influencing stakeholder engagement on LinkedIn in the ship management industry. A hierarchical regression analysis is conducted on the posts of ten ship management firms to study the influence of content type and message characteristics variables on engagement rates. The results revealed nine variables that can significantly influence stakeholder engagement. They are links, corporate brand names, call-to-actions, message length, tangible resources, social content, emotional content, first-person texts, and emojis. The findings provide recommendations for firms in the ship management industry in terms of the message strategies to incorporate into their posts to encourage higher engagement rates. This study also enriches literature for stakeholder engagement on social media.

Purpose: Crowd logistics is a rising phenomenon in last-mile delivery that integrates technological applications and sources a large number of participants to do logistical activities, achieving sustainable shipping in urban environments. However, up until now, there has been limited literature in this field. This research aims to investigate the extrinsic and intrinsic factors that impact the participative behaviour of driver-partners in crowd logistics.Design/methodology/approach: An integrated model is developed based on motivation theory, incorporating attitude as a contributor to both extrinsic and intrinsic motivations. A questionnaire was constructed and distributed to collect data from 303 respondents who are existing or potential driver-partners in Vietnam.Findings: Our findings confirm (1) the influence of monetary rewards on extrinsic motivation and (2) the power of self-efficacy, trust and sense of belonging on intrinsic motivation. Further, we find that attitude positively impacts extrinsic motivation, whereas there is no effect between attitude and intrinsic motivation. Both extrinsic and intrinsic motivations are demonstrated to significantly influence driver-partners' participative intentions. Additionally, a positive association is found between extrinsic and intrinsic motivations.Originality/value: Findings from this study theoretically enrich the literature on crowd logistics, especially on the supply side, and empirically contribute to implications that are valuable to crowd logistics firms on driver-partner recruitment and business strategy development.