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Online food ordering apps (OFOAs) have become increasingly popular, and consumers have widely recognized their benefits, particularly during pandemics or lockdowns. Despite the growing popularity of OFOAs, little is known about technology acceptance theories and their impact on purchase intention. The current study proposes the amalgamation of three theories to bridge this gap, better explaining customer behaviour toward OFOAs.

To create a model, the researcher applied technology acceptance theories, visibility and purchase intention. To obtain results, the researcher used structural equation modelling (SEM) and moderation analysis on 432 responses obtained through a questionnaire.

According to the research, all constructs were found to have a favourable and significant impact on the intention to use OFOAs, except compatibility. The moderating effect of visibility on intent to purchase is shown in the study. The study's findings add to the knowledge of consumer behaviour and practice.

This work sheds light on technology acceptance theories that ensure that OFOA platforms are used indefinitely. Furthermore, the significance of visibility as a mediator of purchase intention provides a deep insight into customer behaviour.

This model, which combines technology acceptance theories' original constructs with visibility to moderate purchase intention on OFOA platforms, is the first of its type in the current literature. Furthermore, this theoretical progress paves the way for future research.

The purpose of this paper is to reduce the artifacts in fast Bayesian reconstruction images in electrical tomography. This is in particular important with respect to object detection in electrical tomography applications.

The authors suggest to apply the Box-Cox transformation in Bayesian linear minimum mean square error (BMMSE) reconstruction to better accommodate the non-linear relation between the capacitance matrix and the permittivity distribution. The authors compare the results of the original algorithm with the modified algorithm and with the ground truth in both, simulation and experiments.

The results show a reduction of 50 percent of the mean square error caused by artifacts in low permittivity regions. Furthermore, the algorithm does not increase the computational complexity significantly such that the hard real time constraints can still be met. The authors demonstrate that the algorithm also works with limited observations angles. This allows for object detection in real time, e.g., in robot collision avoidance.

This paper shows that the extension of BMMSE by applying the Box-Cox transformation leads to a significant improvement of the quality of the reconstruction image while hard real time constraints are still met.

This paper aims to investigate the usability of the non-iterative monotonicity approach for electrical capacitance tomography (ECT)-based object detection. This is of particular importance with respect to object detection in robotic applications.

With respect to the detection problem, the authors propose a precomputed threshold value for the exclusion test to speed up the algorithm. Furthermore, they show that the use of an inhomogeneous split-up strategy of the region of interest (ROI) improves the performance of the object detection.

The proposed split-up strategy enables to use the monotonicity approach for robotic applications, where the spatial placement of the electrodes is constrained to a planar geometry. Additionally, owing to the improvements in the exclusion tests, the selection of subregions in the ROI allows for avoiding self-detection. Furthermore, the computational costs of the algorithm are reduced owing to the use of a predefined threshold, while the detection capabilities are not significantly influenced.

The presented simulation results show that the adapted split-up strategies for the ROI improve significantly the detection performance in comparison to the traditional ROI split-up strategy. Thus, the monotonicity approach becomes applicable for ECT-based object detection for applications, where only a reduced number of electrodes with constrained spatial placement can be used, such as in robotics.

This paper aims to present an approach based on electrical impedance tomography spectroscopy (EITS) for the determination of water and ice fraction in low-power applications such as autarkic wireless sensors, which require a low computational complexity reconstruction approach and a low number of electrodes. This paper also investigates how the electrode design can affect the reconstruction results in tomography.

EITS is performed by using a non-iterative method called optimal first order approximation. In addition to that, a planar electrode geometry is used instead of the traditional circular electrode geometry. Such a structure allows the system to identify materials placed on the region above the sensor, which do not need to be confined in a pipe. For the optimization, the mean squared error (MSE) between the reference images and the obtained reconstructed images was calculated.

The authors demonstrate that even with a low number of four electrodes and a low complexity reconstruction algorithm, a reasonable reconstruction of water and ice fractions is possible. Furthermore, it is shown that an optimal distribution of the sensor electrodes can help to reduce the MSE without any costs in terms of computational complexity or power consumption.

This paper shows through simulations that the reconstruction of ice and water mixtures is possible and that the electrode design is a topic of great importance, as they can significantly affect the reconstruction results.

The purpose of this paper is to examine the important role of cross-sector partnerships and collaboration in global emergency management, relevant in situations such as the ongoing COVID-19 pandemic and grand global challenges.

The paper utilizes exploratory historical methods and examines cross-sector partnerships from three key emerging markets – Pakistan, Turkey and Nigeria. The context of the emerging markets is important given the institutional fragility such markets encountered.

The authors offer a conceptual discussion that explicates the vital role of such partnerships in global emergencies. The authors also highlight the instrumental role of adaptive learning in cross-sector partnerships, which can help multiple stakeholders create and deliver value in response to an emergency like a global health pandemic caused by the COVID-19. Along with the conceptual discussion, the authors further offer practical examples of cross-sector partnerships in emerging economies of Pakistan, Turkey, and Nigeria – undertaken in response to the recent pandemic – emphasizing that such partnerships are crucial to mitigate the emergencies and their consequences on society. Finally, this paper offers theoretical and practical implications for cross-sector collaboration and partnerships in response to the global crisis.

This research is limited to emerging markets context and further research is needed on this important topic.

This paper is relevant given the current global pandemic caused by the COVID-19. There are relatively limited research studies on the cross-sector partnerships and their role in global emergencies, grand challenges and global crisis, thus this paper offers important insights on cross-sector partnerships and their value creation in global crisis situations.

On 16 July 2003 the Australian Government’s Treasurer, the Honourable Peter Costello, addressed the Sydney Institute on his vision for a tolerant Australian society. Drawing from Putnam’s research Costello argued that tolerance will flow from an active voluntary sector. However, Costello’s proposed model for a “tolerant” society fails to acknowledge that all behaviour is strategic and that voluntary association based on disinterested action is not possible. Ultimately, Treasurer Costello’s notion of tolerant society fuelled by an active voluntary sector may not lead to his desired end. Indeed, the promotion of voluntary association may contribute to the ongoing exclusion of citizens with low social capital. Amid the dynamism of the modern era some citizens such as ageing workers, slow or ineffective learners and women may be especially at risk. Accordingly, rather than advocating a policy approach that seeks to build inclusiveness through an active voluntary sector this paper recommends a policy approach that explores ways in which to strengthen learning and the wider involvement of individuals through both formal and informal means.

Having an ageing population is an issue facing many countries, particularly western nations. With governments and service providers focusing on healthy ageing and ageing in place, notions of choice and active participation for older people in selecting services appropriate to remaining in the community are also emphasised. Central to this is the issue of information navigation: knowing what services are available and how to get that information, for older people and those who support them. Based on a series of qualitative studies of service provision and using perspectives from older people, their families and those who provide services for them, this paper argues that greater attention needs to be paid to the process of information navigation as opposed to providing ever more information content.

Enabling optimal care transitions for older people remains a key challenge facing policy‐makers and service providers. This qualitative Australian study aimed to provide a comprehensive picture of the factors/issues surrounding care transitions from the perspective of older people and their carers. It documents how supports and services are searched for and gained during the care transition process and the effect of this process on older people and their families. These findings have implications for service provision and policy relating to both assisting older people to age in place wherever possible and facilitating optimal care transitions when they are required.

This paper aims to investigate a workforce policy response to the ageing workforce, emerging social and demographic trends, ongoing and rapid change, the growth in complexity and the changing nature of work.

The main method for constructing this paper is analysis of selected texts rather than the more conventional empirical studies. The approach is that of scenario construction, guided by the criteria established by Nowotny et al. Evidence is gathered of emergent trends that affect management practices and structures now and in the foreseeable future. These trends are identified and woven into a commentary that links them in a focus on the priorities for Australian organizations.

The findings from this research suggest that “command‐based” management structures of the bureaucracy, given emergent trends, present as an impediment to organizational success. Rather, a workforce policy reform agenda for both understanding and managing noted historical conditions in a coherent way is proposed.

The conclusions of this paper are significant for large organizations faced with the dynamism of the modern era and the difficulties associated with emerging demographic and social trends. They suggest a workforce policy reform agenda for both understanding and managing these historical conditions in a coherent way.

This paper deals with a topic that is exercising policy makers in all the developed economies. It offers practical advice to assist the development of workforce policy to better manage emergent trends.

This study aims to reflect on developments in document supply and scholarly communications and to look into the future of the service.

This study provides an informal overview.

The results of this study indicate that Interlending and Document Supply (ILDS) as a service has a long future ahead of it albeit at a lower level than in the recent past.

As a farewell to ILDS, it is inevitably original; its value will be judged by the reader.