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The drone food delivery service (DFDS) is a revolutionary technology owing to its ability to reduce delivery costs, alleviate traffic congestion, and offer a more environmentally friendly alternative compared to traditional delivery methods. While studies have been conducted to understand consumers’ intentions towards DFDS, very few of them considered internal factors such as personality traits. Considering the aforementioned factors, this research employs the belief-desire-intention (BDI) model and the big five personalities (BFP) traits to explore how personality traits (neuroticism, extraversion, agreeableness, conscientiousness, and openness) moderate the associations between the desire for DFDS and consumers’ intention to use DFDS (ITU).

Survey questionnaires were distributed online via Facebook and WhatsApp. A total of 359 responses were considered valid, and the study employed the partial least squares structural equation modelling approach to test the hypotheses.

The study revealed a positive impact of the desire for DFDS on ITU. Additionally, extraversion and agreeableness were found to moderate the effect of the desire for DFDS on ITU.

This study is the first in DFDS literature to employ the BDI model, showcasing its effective application in understanding the desire-to-intention relationship. Also, this is the first study that explores the moderating role of the BFP traits in the context of DFDS usage intention. The results provide insights for developing marketing strategies to encourage DFDS usage intention based on consumers' personality traits.

The purpose of this study was to explore if five subdimensions of perceived risk (financial, time, privacy, performance and psychological risks) negatively affects image. In addition, this study aims to investigate if image has a positive effect on intentions to use. Lastly, the purpose of this study was to examine the moderating effect of Coronavirus disease-2019 (COVID-19), before and after the outbreak, in the relationship between perceived risk and image.

Data were collected from 331 people before the COVID-19 outbreak and 343 people after the COVID-19 outbreak. To test hypotheses, this study used structural equation modeling.

Time, performance and psychological risks negatively affected image before the outbreak of COVID-19. Meanwhile, performance risks and psychological risks had a negative influence on image only after the outbreak of COVID-19. In addition, there was demonstrated to be a positive relationship between image and intentions to use, both before and after the COVID-19 outbreak. Finally, the outbreak of COVID-19 positively moderates the relationship between performance risk and image.

The current study provides the following practical implications. First, industry practitioners need to develop a performance guarantee system which enhances the quality assurance of drone food delivery services (DFDS). Second, live streaming or creative activities would help to visualize DFDS in a way that stresses the stable operation of these services.

The importance of contactless services has been emphasized ever since the beginning of the COVID-19 outbreak. However, there has been very little research on the future of contactless services after COVID-19. This study investigated the perceived risk from DFDS as a form of contactless service which has not been conducted before. The findings of this study will improve the understanding of the changes that have occurred in consumers’ perception of risk from DFDS during the COVID-19 pandemic.

The purpose of the research reported in this paper was to examine the potential usefulness of animated learning materials for supporting students with dyslexia in a UK higher education setting.

An experiment was conducted with a set of 13 undergraduate computing students with dyslexia and a control group of 13 non‐dyslexic undergraduate computing students.

Overall it appeared that appropriate animated learning materials were perceived as being more useful than equivalent static learning materials by both the students with dyslexia and the control group of non‐dyslexic students. However, the control group appeared to find them more useful than the students with dyslexia.

Although the experiment reported in this paper was small in scale it did appear to indicate that animated learning materials may potentially be useful for undergraduate students with (and without) dyslexia.

There appears to have been little research done in the area of animated learning materials in a higher education setting and in particular with regard to students with dyslexia.

This paper presents the second phase of a computer‐ assisted methodology for requirement and design analysis stages of implementing CIM within small and medium‐size enterprises (SME). The main objective is to cover informational and functional analysis during the CIM system life‐cycle. The methodology aims at using limited expertise, limited staff, and expenditure, making it especially suited for introducing CIM in SMEs. The paper emphasises the integration aspects of the methodology as the key factors in the requirement and design analysis stages of the implementation of CIM. Integration has been taken as the need to have some form of operational collaboration between two or more functions. Four types of integration have been identified for reducing the complexity of data communications and for narrowing the gap between analysis and implementation phases. A computer‐supported information requirement analysis tool has been developed for implementing the methodology. A case study was carried out in the apparel industry to test the methodology.

Achieving swift and even flow of cargo through the border, the ultimate objective of cross-border logistics (CBL) requires the close coordination and collaboration of a multitude of stakeholders, as well as optimally configured systems. To achieve and sustain competitiveness in a dynamic international trade environment, CBL processes must undergo periodic analysis, improvement and optimization. This study aims to develop a modelling framework to capture CBL processes for analysis and improvement.

Relying on the extant literature, a meta-model is developed incorporating significant perspectives required to model CBL processes. Popular process modelling notations are evaluated against the meta-model and their ease of comprehension is also evaluated. The selected notation through evalution is augmented with addendums for a comprehensive depiction of CBL processes.

The capacity of role activity diagrams (RADs) to depict all perspectives, including interactions in a single diagram, makes them particularly suitable for modelling CBL processes. RADs have been complemented with physical flow diagrams and methods to capture temporal dimension, enabling a comprehensive view of CBL processes laying the foundation for insightful analysis.

The meta-model developed in this paper paves the way to develop an analysis framework which requires further research.

The lack of well-accepted modelling notations for studying CBL processes prompts researchers to search and adapt different formalisms. This study has filled this gap by proposing a comprehensive modelling framework able to capture CBL processes at different granularities in rich detail. Not only does the developed meta-model aid in selecting the notation, it is also useful in analysing the constituent elements of CBL processes.

Construction plant and equipment accident statistics suggest constant re‐evaluation of health and safety (H&S) systems is beneficial. This paper aims to process analyse plant and equipment H&S management systems on UK construction sites, with a view to applying information and communication technology (ICT) to them as an improvement mechanism.

Five construction project case studies drawn from members of the former Major Contractors Group yield rich H&S process data. These are analysed using data flow diagram (DFD) techniques, to evaluate processes and proffer system improvements incorporating ICT.

Causes of unsafe practice regarding management of construction plant and equipment are found to include: aspects of the plant itself, management processes and operator competence. A new ICT “process paradigm” is suggested, the architecture of which incorporates mobile computing, automatic identification and data collection and a management information system.

Findings contribute particularly to the fields of plant and equipment; and managing H&S.

Suggested ICT direction might form the basis of commercial interest in developing an all‐embracing H&S control mechanism for plant and equipment operations.

Application of DFD analysis in this setting is quite new.

The paper seeks to provide an example of how new business unit resources can activate previously passively connected networks of resources.

Two case studies are used, both of which are examples of new business unit resources being embedded into, and also changing, existing resource networks. The cases are organised around issues of the existing network prior to the introduction of the new resource and how resources can become valuable from within a network.

The paper provides details of two business unit resources being embedded in existing resource networks. In both cases, ports are changed from passive to active actors. There are consequences for a set of existing resources when a new actor activates these in relation to a number of specific counterparts. Further, the value of single resources can be enhanced when they are combined in new ways. The main finding is that the value of resources is closely connected to how newly created actors are able to activate networks of existing yet passively connected resources.

Both cases are concerned with business unit resources rather than a mixture of types.

This paper is a study of how new business unit resources become embedded in existing resource networks while simultaneously activating those networks.

The Unified Modeling Language (UML) has received significant attention as the tool of the future for modeling information systems. However, prior to the development of the UML, IS modeling was done with tools such as Data Flow Diagrams (DFDs) and Entity‐Relationship Diagrams (ERDs). These tools have been developed over many years of information systems development and taught to thousands of information systems professionals. Many organizations continue to use these tools, and many other organizations use these tools but are considering switching to the UML. While the UML is being promoted as the future of IS modeling, there is little empirical evidence that suggests it is a better tool than the traditional approach. This research seeks to inform the decision to adopt the UML over traditional modeling tools by examining the efficacy of the two modeling tools in the identification of design defects in an information system model. The study involved MIS students attempting to find defects embedded in a model of an information system. The study finds that students using UML were able to find approximately twice as many of the defects injected in the model as those using traditional modeling tools.

Data flow analysis is used in a novel context for business process modelling. A framework is presented together with its enterprise modelling concepts and the associated modelling tools. The framework was specifically developed for small‐ to medium‐sized industries. The strengths and weaknesses of the general data flow analysis approach are discussed in terms of its suitability for Hong Kong’s small‐ to medium‐sized industries. A case example is also presented to illustrate the methodology.

Summarizes the most important principles of concurrent engineering [CE] and computer integrated manufacturing [CIM]. Discusses system data flow and IDEFo diagrams used as graphical descriptions of the engineering process. Introduces a software package called CIMpgr. Concludes that CIM addresses the total information requirements and management of a company from the development of a business plan through to the shipment of a product and the follow‐up support.