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This paper examines the relationship between transport connectivity and regional economic development in China. It develops measurements appropriate for transport connectivity based on a set of evaluation models. This model is used to analyze the logistic connectivity of China’s 31 provinces by focusing on 11 variables, including some new factors (Density of road network, Density of railway network, Number of Internet Users) not used in previous studies, over the 13-year period from 2002 to 2014. Using panel data regression analysis, the empirical results show a statistically significant and positive impact of transport connectivity (factors like Density of road network, Density of railway network and Number of Internet Users) on economic development in China. In particular, the Number of internet users is a key factor reflecting information connectivity in all the variables. Comparative analysis regarding economic development is conducted to benchmark between coastal provinces and interior provinces. Like most previous research, this study yields the same finding of higher impact of transport connectivity on economic development in eastern provinces than in western provinces. This study suggests that decentralized decision-making will be significantly more efficient for analyzing regional infrastructure development. It also shows that the influence of transport connectivity on economic development is dependent on a certain developmental stage. This suggests that an economic region should adopt different development strategies for transport connectivity during different stages of development.

Service conveniences (SCs) play a deterministic role in motivating consumers’ participation in self-collection (via attended pickup points or unattended automated locker systems). Accordingly, the SERVCON model provides a multi-dimensional conceptualisation of SCs, whereas the Kano model explains consumers’ satisfaction formation in response to multi-dimensional service attributes. Anchored on synthesised insights of both models, the purpose of this paper is twofold: first, to qualitatively apply the SC concept to develop specific service attributes of self-collection; and second, to quantitatively examine these attributes in relation to consumers’ satisfaction formation.

A quantitative Kano model is adopted for survey questionnaire design and data analysis, and 500 valid responses are obtained from an online panel of respondents in Singapore.

SCs are decomposed into 11 service attributes reflecting access, benefit, transaction and post-benefit conveniences of self-collection services. Distinctive patterns of satisfaction formation are revealed in response to specific service attributes; for example, consumers are most responsive to improvement in transaction convenience. Furthermore, as service performance level increases, benefits of spatial accessibility diminish, whereas those of temporal accessibility increase.

This study reveals key service attributes influencing the self-collection services’ convenience and impact on consumers’ satisfaction. Guidelines are presented for designing an optimal resource allocation strategy for logistics service providers to promote self-collection services.

This study synthesises diverse logistics literature on self-collection services under the central theme of SCs, thus enriching the conceptual development of SCs with a decomposed framework of logistics service attributes.

Sustainable shipping management (SSM) has received much attention from shipping companies in recent years. Grounded on resource accumulation and orientation perspectives, this study aims to identify the antecedents of SSM and examine their effects on the performance (i.e. shippers' loyalty and financial performance) of shipping companies.

A model comprising a network of hypotheses that specifies the relationships between the antecedents, SSM, shippers' loyalty and financial performance was constructed. Subsequently, a survey questionnaire was designed. Survey data were then collected from 294 shipping companies located in Vietnam and analysed using structural equation modelling.

The findings indicate that the five antecedents have significant effects on the effectiveness of SSM. They are stakeholders' focus, strategic orientation, supply chain collaboration, sustainability resource development and sustainability technology development. Bootstrapping analysis indicates that SSM has significant direct and indirect effects on financial performance via shippers' loyalty.

Applied perspectives are complementary and offer unique explanations to SSM. However, the orientation perspective offers stronger explanation. This study also improves the allocation of resources and capabilities in managing sustainability to enhance the organisational performance of shipping companies.

This study synthesises the sustainability and strategic management literature to identify the antecedents of SSM.

E-commerce last-mile logistics is undergoing dramatic changes. By inviting consumers to participate in self-collection, they collectively form a mass crowd of resources that can be integrated into last-mile logistics. However, consumers' participation may lead to a spectrum of value outcomes from value co-creation to co-destruction. Therefore, the purpose of this paper is to critically examine the value formation process focussing on micro-level practices and resource outcomes.

Anchored on practice theory and resource conservation theory, content analysis is adopted to analyse 546 practice-based experiences extracted from a leading social media platform.

The analysis reveals five sequential practices of self-collection: purchasing, delivering, notifying, receiving and confirming. Furthermore, the co-created practices are characterised by gains in material, esteem, social and energy resources of the interacting actors. Meanwhile, the co-destructed practices cause a chain of resource losses, where the interacting actors suffer primary losses which subsequently triggers consumers' coping behaviours and further destroys resources for all.

Focussing on constituent service practices, this study zooms into the value formation process. The authors contribute to logistics literature with a service-dominant logic by stressing end-consumers' involvement in the creation and consumption of last-mile logistics.

This study conceptualises the sources and consequences of the nuanced service practices (value formation or destruction) of self-collection. A unified framework is thus proposed, which guides logistics service providers to channel consumers towards more constructive participation in last-mile logistics.

This paper's purpose is to suggest that manufacturers strategically place soft orders for assembly materials with suppliers in Silk Road Economic Belt countries who probably doubt the realization of the soft orders placed.

First, a two-stage Stackelberg competition is constructed, taking into account the supplier's trust level in formulating the decision process in the assembly supply chain. The authors then provide a buyback contract to coordinate the supply chain, in which the manufacturer obtains enough supplies by sharing some of the perceived risks of not fully trusted suppliers. Furthermore, the authors conduct a numerical study to investigate the influence of trust under a decentralized case and a buyback contract.

The authors found that all supply chain partners in Silk Road Economic Belt countries experience potential losses due to not fully trusting certain conditions. The study also shows that, in Silk Road Economic Belt countries, operating under a buyback contract is better than being without one in terms of assembly supply chain performance.

On the one hand, the authors only consider the asymmetry of demand information without considering that of cost structure information. On the other hand, a natural extension of the paper is to integrate single-period transactions into the multi-period transaction problem setting. As all these issues require substantial effort, the authors reserve them for future exploration.

Doing business with not-fully-trustworthy partners in Silk Road Economic Belt countries is risky, and this study reveals how trust works in global cooperation and with strategic reactions in situations of partial trust.

This paper provides a wide-ranging and up-to-date (1997–2016) review of the archival empirical risk-reporting literature. The reviewed papers are classified into two principal themes: the incentives for and/or informativeness of risk reporting. Our review demonstrates areas of significant divergence in the literature specifically: mandatory versus voluntary risk reporting, manual versus automated content analysis, within-country versus cross-country variations in risk reporting, and risk reporting in financial versus non-financial firms. Our paper identifies a number of issues which require further research. In particular we draw attention to two: first, a lack of clarity and consistency around the conceptualization of risk; and second, the potential costs and benefits of standard-setters’ involvement.

The purpose of this paper is to propose a novel prospect-based two-sided matching decision model for matching supply and demand of technological knowledge assisted by a broker. This model enables the analyst to account for the stakeholders’ psychological behaviours and their impact on the matching decision in an open innovation setting.

The prospect theory and grey relational analysis are used to develop the proposed two-sided matching decision framework.

By properly calibrating model parameters, the case study demonstrates that the proposed approach can be applied to real-world technological knowledge trading in a market for technology (MFT) and yields matching results that are more consistent with the reality.

The proposed model does not differentiate the types of knowledge exchanged (established vs novel, tacit vs codified, general vs specialized) (Ardito et al., 2016, Nielsen and Nielsen, 2009). Moreover, the model focuses on incorporating psychological behaviour of the MFT participants and does not consider their other characteristics.

The proposed model can be applied to achieve a better matching between technological knowledge suppliers and users in a broker-assisted MFT.

A better matching between technological knowledge suppliers and users can enhance the success of open innovation, thereby contributing to the betterment of the society.

This paper furnishes a novel theoretical model for matching supply and demand in a broker-assisted MFT. Methodologically, the proposed model can effectively capture market participants’ psychological considerations.