Business Innovations in the New Mobility Market during the COVID-19 with the Possibility of Open Business Model Innovation

Master of nursing programs in Australia: A desktop analysis

Background

Master of Nursing (MN) programs serve as an important structured pathway to prepare the nursing workforce to develop advanced capabilities. Little research has been done to examine the key characteristics of MN programs in Australia and their responsiveness to meeting the health needs of the community.

Aim

The aim of this desktop analysis is to provide a detailed overview of the key characteristics of MN programs in Australia.

Method

A desktop analysis of MN programs in Australia utilising content analysis of publicly available information gathered from program websites of Australian Universities.

Results

A total of 70 MN programs were analysed from the 28 that offered these programs. Nine categories were developed that describe the key characteristics of these programs: nomenclature and program focus, program outcomes, regulation and professional recognition, structure, work integrated learning, delivery mode, admission, and tuition fees. Inconsistencies were identified across all categories.

Discussion

While Australian universities offer a diverse range of MN programs, inconsistencies across the programs can impact quality and intent and have implications for students, employees, and universities.

Conclusion

There is a pressing need to ensure the quality of MN education is maintained and adequate to meet healthcare needs. The benefits and risks of professional regulation of all MN programs should be considered as a mechanism for enhancing the quality of nursing education.

Gender Differences in Knowledge, Attitudes, and Practices toward COVID-19 in Saudi Arabia: A Cross-Sectional Study

Days after the World Health Organization (WHO) declared that COVID-19 was a pandemic, Saudi Arabia took preventative and precautionary measures to avoid its spread and to safeguard its citizens. In this study, we investigated the knowledge, attitudes, and practices (KAP) of both men and women toward COVID-19 as well as associated factors. A cross-sectional study was conducted using an online, self-report questionnaire distributed via Google Forms. The overall percentage of correct answers for the knowledge statements was 80.2%, with a higher rate among the female respondents (82.4% vs. 78.5%, p = 0.005). Slightly more than half (i.e., 165: 51.6%) of the participants showed that they did not go to crowded places during the pandemic; however, more female respondents recorded that they avoided crowded places than male respondents (57.7% vs. 46.2%, p = 0.04). Most participants (i.e., 272: 85.0%) reported that they had worn a mask in recent days, and more than two-thirds (84.4%) said that they still follow the strategies recommended by government authorities to prevent the spread of the virus. Again, more female respondents reported this than males (89.9% vs. 79.5%; p = 0.01). Significant correlations (p < 001) were noted between knowledge and practices (r = 0.31), knowledge and attitudes (r = 0.37), and attitudes and practices (r = 0.29). In the multivariate logistic regression analysis, occupation and education were independently associated with knowledge among both the male and female respondents (adjusted odds ratio [aOR]: 2.9; 95% confidence interval [CI]: 1.2-7.2; aOR: 5.9; 95% CI: 2.2-15.9). Residence was independently associated with attitudes, but only among the male respondents (aOR: 2.3; 95% CI: 1.1-4.9), and COVID-19 was independently associated with practices among both the male and female respondents (aOR: 4.5; 95% CI: 1.4-14.2; aOR: 9.8; 95% CI: 1.2-81.2). There were significant gender differences in both knowledge and practices toward COVID-19, with the female respondents achieving better scores than the male respondents. Thus, we recommend that health education campaigns are tailored to specifically target males.

Visual Communication in Shared Mobility Systems as an Opportunity for Recognition and Competitiveness in Smart Cities

Due to the intensive development of urbanization and digitization, the number of smart cities in the world is growing. Along with their exposure, more and more challenges are facing the service providers of the various types of systems offered in their area. These types of services include shared mobility systems that, as an alternative to transport by own vehicle, are becoming one of the leading promoted forms of mobility. Because of the prioritization of shared mobility solutions, more and more operators appear on the smart city markets, which is associated with many challenges related to the increased competition among service providers. One of the challenges is the appropriate visibility of the brand and vehicles in urban transport systems. This aspect, despite its high applicability, constitutes a research gap among world studies. Aiming to fill this gap, this article was dedicated to the issues of perception of visual communication by operators of shared mobility services. As part of the research, an expert study was conducted among representatives of shared mobility services operating in Poland. The expert survey was conducted with the Computer-Assisted Web Interview (CAWI) technique. The results of the research show that visual communication is not used quite correctly by operators. Although operators use single visual communication practices, overall consistency is lacking, which would add value to the brand. This article supports operators looking to expand their shared mobility services. What is more, it is also a response to the research gap regarding visual communication and its perception from the point of view of smart cities.

Optimization Method for Conventional Bus Stop Placement and the Bus Line Network Based on the Voronoi Diagram

With the rapid development of the economy, the existing conventional bus transit system finds it difficult to meet people’s increasing travel needs. In addition, with the emergence and rapid development of urban rail transit, it is also necessary to integrate the existing conventional bus transit system with the rail transit system to realize the optimization of the whole public transport system. This study introduces the concept of the Voronoi diagram and uses it to divide the service area of bus stops. Taking the average walking time of regional passengers to the station as the main index, the convenience of passengers in the service area was evaluated, and a set of candidate station sites is established. Against the background of urban rail transit, a complete optimization model for a conventional bus station layout and line network was proposed. Finally, taking Wuhan East Lake High-tech Development Zone as an example, two optimization schemes for the public transport system were obtained. Compared with the status quo, the optimized scheme had obvious improvement effects on the repetition coefficient of bus lines, per capita transfer time, bus line network coverage and station service rate. This has been recognized by the local authorities, which proves the practicality and scientificity of the optimization method of this study.

Unconventional Tourist Mobility: A Geography-Oriented Theoretical Framework

Prior to the COVID-19 pandemic, tourism had permeated all spaces of experience, reaching nearly every country, region, community, and corner of the globe. In recent decades, the meanings, implications, and roles of tourism have also expanded significantly. This article focuses on unconventional tourism mobilities, including same-day visits, which are an important but often neglected part of the tourism system, constantly challenging both scholars and tourism industry stakeholders. Unconventional tourism is an umbrella term that covers most kinds of unregistered or unaccounted tourist mobilities, some of which might not appear to be ‘tourism’ but should be in certain localities and under certain conditions. Given the growth of unregistered tourist flows and unaccounted leisure (or utilitarian) mobilities, there is a need in tourism studies to apply innovative research methods and to reconceptualize the meanings of tourism in different geographical and social contexts. It is expected that people’s desire to travel in the post-pandemic era will educe new spatial and temporal travel experiences and behaviours in which unconventional tourisms will play an important role. To better understand this phenomenon and to evaluate the development of new approaches to travel and behavioural spatialities, new ways of thinking, new theoretical constructs, and new methodologies are needed. This article seeks to explore certain hidden or invisible tourism mobilities, focusing on the geographical patterns, processes, and hidden aspects of unconventional tourism.

Responsiveness of open innovation to COVID-19 pandemic: The case of data for good

Due to the COVID-19 pandemic, countries around the world are facing one of the most severe health and economic crises of recent history and human society is called to figure out effective responses. However, as current measures have not produced valuable solutions, a multidisciplinary and open approach, enabling collaborations across private and public organizations, is crucial to unleash successful contributions against the disease. Indeed, the COVID-19 represents a Grand Challenge to which joint forces and extension of disciplinary boundaries have been recognized as main imperatives. As a consequence, Open Innovation represents a promising solution to provide a fast recovery. In this paper we present a practical application of this approach, showing how knowledge sharing constitutes one of the main drivers to tackle pressing social needs. To demonstrate this, we propose a case study regarding a data sharing initiative promoted by Facebook, the Data For Good program. We leverage a large-scale dataset provided by Facebook to the research community to offer a representation of the evolution of the Italian mobility during the lockdown. We show that this repository allows to capture different patterns of movements on the territory with increasing levels of detail. We integrate this information with Open Data provided by the Lombardy region to illustrate how data sharing can also provide insights for private businesses and local authorities. Finally, we show how to interpret Data For Good initiatives in light of the Open Innovation Framework and discuss the barriers to adoption faced by public administrations regarding these practices.

Government Intervention, Human Mobility, and COVID-19: A Causal Pathway Analysis from 121 Countries

Based on data from 121 countries, the study assesses the dynamic effect and causality path of the government epidemic prevention policies and human mobility behaviors on the growth rates of COVID-19 new cases and deaths. Our results find that both policies and behaviors influenced COVID-19 cases and deaths. The direct effect of policies on COVID-19 was more than the indirect effect. Policies influence behaviors, and behaviors react spontaneously to information. Further, masks give people a false sense of security and increase mobility. The close public transport policy increased COVID-19 new cases. We also conducted sensitivity analysis and found that some policies hold robustly, such as the policies of school closing, restrictions on gatherings, stay-at-home requirements, international travel controls, facial coverings, and vaccination. The counterfactual tests suggest that, as of early March 2021, if governments had mandated masking policies early in the epidemic, the cases and deaths would have been reduced by 18% and 14% separately. If governments had implemented vaccination policies early in the pandemic, the cases and deaths would have been reduced by 93% and 62%, respectively. Without public transportation closures, cases and deaths would have been reduced by 40% and 10%, respectively.

Changes in the Innovation- and Marketing-Habits of Family SMEs in the Foodstuffs Industry, Caused by the Coronavirus Pandemic in Hungary

The economic specialties caused by the global coronavirus pandemic completely changed everyday life regarding certain sectors. For the small and medium enterprises, processing during the pandemic held several significant challenges, such as: cost-efficient operations, hardship of keeping employees, efficient management of innovation and various corporate activities, keeping the customers, etc. Many enterprises saw severe damages indirectly from the coronavirus pandemic, as society itself had its habits significantly changed, thereby necessitating changes in strategy for small and medium enterprises, most notably for local service providers and producers that have no delivery service. In order to solve the issue at hand, several governments tried applying a variety of solutions—mostly by financing the enterprises in question. The goal of the authors is to understand the current operation of innovation initiatives that small and medium enterprises have post-COVID-19, and to obtain a clear view on changes in marketing habits. Furthermore, the analysis concentrates on the following: the state of family SMEs dealing in foodstuffs, and how to create a future view for such members of the sector by identifying best practices. Using data collected during 2020 and 2021, and employing descriptive statistics and a conjoint analysis, the authors wished to see how the coronavirus pandemic affected SMEs, detect the changes in their marketing and innovation policy due to the pandemic, and help them create core business strategy via consumer feedback. Authors found that SMEs had to innovate by 2021 beyond their 2019 expectations, and that customers had partially validated their endeavors through their answers.

Service contracting as a policy response for public transport recovery during the Covid-19 Pandemic: A preliminary evaluation

We examine and assess the service contracting (SC) program implemented for the first time in Metro Manila, Philippines as a response to the impact of the pandemic on road-based public transport sector. We develop an evaluation framework, consisting of three indicators: social amelioration, increase in transport supply and performance improvement. These indicators are the purported objectives of SC. Using a mix of qualitative and quantitative methods, our evaluation suggests that although SC has brought positive impact in terms of the first two indicators, there is no robust evidence so far that may suggest that SC has improved the performance of public transport service delivery. We also find that while the primary objective of providing social amelioration to affected operators is appropriate during the time of the pandemic, this has also brought challenges in financially sustaining the program and in effecting improvements to public transport services. Our work aims to contribute as an empirical case study on the upsides and downsides of service contracting implemented as a business model for public transport provision during the pandemic.