Suchergebnisse

Shared autonomous vehicles (SAVs), which have several potential benefits, are an emerging innovative technology in the market. However, the successful operation of SAVs largely depends on the extent of travellers' intention to adopt them. This study aims to analyse the factors that influence the adoption of SAVs by integrating two theoretical perspectives: the unified theory of acceptance and use of technology 2 (UTAUT2) and the theory of planned behaviour (TPB). A valid survey sample of 268 participants in Da Nang, Vietnam was collected. Subsequently, structural equation modelling was deployed to test the research model. The results indicate that the five dimensions of UTUAT2: performance expectation, effort expectation, habit, price value and hedonic motivation, are mediated by the attitudes toward using SAVs. Further, the TPB constructs, namely attitude, subject norm, perceived behavioural control, along with its perceived facilitating conditions, are all effective predictors of intention to use SAVs. The findings of this study can serve as a crucial resource for transport operators and the government to enhance transportation services and policies.

PurposeIncreasingly, the logistics industry offers innovative solutions that interact with end-consumers directly. The purpose of this paper is to examine the consumer participation behaviour in co-creating logistics service values, using self-collection via automated parcel station as an example. Built on the synthesised insights from logistics studies and behavioural theories on consumers' attitude and affect, the effect of cognitions (what consumers think) and affects (what consumers feel) are investigated.Design/methodology/approachA total of 500 valid responses are collected from an online panel of respondents and the data are analysed using exploratory factor analysis and structural equation modelling.FindingsConsumers' affects towards participation are stronger motivations that not only intrinsically motivate consumers to participate but also exert an indirect influence via consumers' cognitions.Practical implicationsTo elicit consumers' affections, it is critical to create enjoyable (enjoyment), assuring (assurance) and secure (security) service experiences. On the other hand, an overly straightforward service offering (in terms of cognitive functionality), void of the aforementioned experiences, may discourage consumers from participation.Originality/valueThis research unveils consumer participation in co-creating logistics service values, contributing to studies on the emerging phenomenon of consumer logistics. A rebalancing of the logistics research from a utility-creation perspective to an experience-creation perspective has been advocated.

PurposeSustainable 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.Design/methodology/approachA 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.FindingsThe 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.Research limitations/implicationsApplied 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.Originality/valueThis study synthesises the sustainability and strategic management literature to identify the antecedents of SSM.

Background: As an erratic human behavior, panic buying is an understudied research area. Although panic buying has been reported in the past, it has not been studied systematically in Bangladesh. Aim: This study aimed to explore the characteristics of panic buying episodes in Bangladesh in comparison to current concepts. Methods: A retrospective and explorative search were done using the search engine Google on November 6, 2020, with the search term "panic buying in Bangladesh." All the available news reports published in the English language were extracted. A thorough content analysis was done focusing on the study objectives. Results: From the initial search, a total of 30 reports were extracted. However, six reports were not included based upon the exclusion criteria, resulting in an analysis of 24 reports. Five panic buying episodes were identified, discussing the precipitating events, responsible factors, goods acquired through panic buying, and prevention measures. Flood, curfew, COVID-19, and export ban were found to be precipitating events. Media reports frequently mentioned prevention strategies, expert opinion, supply chain status, rationing, and government action. The reported goods that were panic bought were items necessary for daily living such as rice, oil, spices, and safety products such as hand sanitizer and masks. Conclusion: The study revealed preliminary findings on panic buying in Bangladesh; however, they are aligned with the current concept of it. Further empirical studies are warranted to see the geographical variation, precise factors, and to test the culturally appropriate controlling measures.

Purpose
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.


Design/methodology/approach
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.


Findings
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.


Practical implications
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.


Originality/value
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.

AbstractReducing the incidence of seafarers' workplace injuries is of great importance to shipping and ship management companies. The objective of this study is to identify the important influencing factors and to build a quantitative model for the injury risk analysis aboard ships, so as to provide a decision support framework for effective injury prevention and management. Most of the previous research on seafarers' occupational accidents either adopts a qualitative approach or applies simple descriptive statistics for analyses. In this study, the advanced method of a Bayesian network (BN) is used for the predictive modeling of seafarer injuries for its interpretative power as well as predictive capacity. The modeling is data driven and based on an extensive empirical survey to collect data on seafarers' working practice and their injury records during the latest tour of duty, which could overcome the limitation of historical injury databases that mostly contain only data about the injured group instead of the entire population. Using the survey data, a BN model was developed consisting of nine major variables, including "PPE availability," "Age," and "Experience" of the seafarers, which were identified to be the most influential risk factors. The model was validated further with several tests through sensitivity analyses and logical axiom test. Finally, implementation of the result toward decision support for safety management in the global shipping industry was discussed.