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The purpose of this paper is to use an organizational design perspective to determine the scope of the state-of-the art of research into project-based organizations.

The paper follows a structured framework-based literature review approach. It uses an analytical framework from the organization design literature to assess 177 papers relevant to the design of the project-based organization that were published in four leading PM journals between 2008 and 2015. The authors determine which elements of organization design are covered in each paper and identify specific research themes for each of the element emerging from the literature. Finally, the authors examine the degree to which interdependencies among separate elements are addressed in the literature and discuss the most holistic papers in more details.

The results show that the literature on project-based organizations downplays broader organizational issues (such as organizational strategy, incentive schemes and performance management systems) while emphasizing research agenda inherited from research on single project management. In addition, the study highlights limited attention in the literature to the interdependence between separate design choices. Finally, it develops a research framework to map current themes in the literature and their relative importance and discusses a prospective research agenda.

Academic implications stem from looking at the project management literature from a fresh theoretical perspective and putting project-based organization as a whole in the focus. There is a great research potential in studying organization-wide aspects and interdependencies between various organization design choices in project-based organizations.

Reflective practitioners could benefit from a wider view on the project-based organization and its design. They could also use the developed framework in management discussions.

The paper offers a novel way of conceptualizing research on project-based organizations by linking it to an established stream within the field of organization theory and design.

A vast amount of literature has highlighted that accessibility is becoming crucial in evaluating e-procurement web site effectiveness. In this context, this paper shows some results of multidisciplinary research whose aim is to identify a model to evaluate e-procurement web site accessibility. The specific goal is to identify a group of web site attributes and characteristics that can be measured using quantitative indicators. For this purpose, a model based on a three-level hierarchical system has been introduced. The proposed model has been used to evaluate three Italian public e-procurement web sites. Finally, the conclusions and some indications on future developments of research are illustrated.

This study aims to investigate how the COVID-19 pandemic has impacted and changed Airbnb market in the Greater Melbourne area in terms of its temporal and spatial patterns and identify possible shifts in underlying trends in travel activities.

A panel data set of Airbnb listings in Melbourne is analysed to compare temporal patterns, spatial distribution and lengths of stay of Airbnb users before and after the COVID outbreak.

This study found that the COVID disruption did not fundamentally change the temporal cycle of the Airbnb market. Month-to-month fluctuations peaked at different levels from pre-pandemic times mainly because of lockdowns and other restrictive measures. The impact of COVID-19 disruptions on neighbourhood-level Airbnb revenues is associated with distance to CBD rather than number of COVID cases. Inner city suburbs suffered major loss during the pandemic, whereas outer suburbs gained popularity due to increased domestic travel and long stays. Long stays (28 days or more, as defined by Airbnb) were the fastest growing segment during the pandemic, which indicates the Airbnb market was adapting to increasing demand for purposes like remote working or lifestyle change. After easing of COVID-related restrictions, demand for short-term accommodation quickly recovered, but supply has not shown signs of strong recovery. Spatial distribution of post-pandemic supply recovery shows a similar spatial variation. Neighbourhoods in the inner city have not shown signs of significant recovery, whereas those in the middle and outer rings are either slowly recovering or approaching their pre-COVID levels.

The COVID-19 pandemic has significantly impacted short-term rental markets and in particular the Airbnb sector during the phase of its rapid development. This paper helps inform in- and post-pandemic housing policy, market opportunity and investment decision.

To the best of the authors’ knowledge, this is one of the first attempts to empirically examine both temporal and spatial patterns of the COVID-19 impact on Airbnb market in one of the most severely impacted major cities. It is one of the first attempts to identify shifts in underlying trends in travel based on Airbnb data.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

According to the Government of India’s Ministry of Labour and Employment Report (2015), almost 90% of the Indian workforce can still be categorized as informally employed, generating approximately 50% of the national product. Challenges with data availability have made a rigorous analysis of the informal economy in India often difficult and inadequate for policy formulations. This study aims to fill the gap by providing an empirical analysis of the informal economy in India using micro-data from the World Bank’s Informal Enterprise Surveys.

The authors contribute by empirically testing the association between the adoption of digital technology (payments) and firm performance proxied by firm sales. Matching models are used to mitigate sample selection bias arising out of simultaneous sample selection.

The results suggest that the participation in digital platforms, namely, use of digital payment instruments, is associated with higher sales for firms. The results of this study also show that adoption of digital payments helps in both situations – whether a firm has been using digital technology or has just started using it since the outbreak.

More in-depth data over time, spanning across more cities of India, is needed to conduct a further detailed investigation.

The results should allow policymakers in India to reconsider youth-centric and women-centric business needs, even within the informal sector, which does not often enter the purview of the government but remains responsible for the growth and sustenance of 90% of the country’s workforce. If further research on this issue could engage with the impact of demonetization of currency in 2016 as a lagged shock on sales and reestimate subsequent growth, it would perhaps offer a wider spectrum of how the performance of the informal economy in India affects the entire economy, which has over the last four years and before the onset of Covid reported slower growth.

Productivity is measured in terms of sales of informal firms in India in a regular month or in recent period like last month. Adoption of technology such as making payments using digital platforms can enhance productivity of firms by lowering standard transaction costs and time spent for visiting banks or financial institutions. Albeit not extensively, the literature has investigated digital technology adoption in the context of firms achieving comparative advantage (D’Ippolito et al. 2019; Scuotto et al. 2017), firms generating value creation (Magistretti, Dell’Era and Petruzzelli, 2019), and in helping with strategic initiatives and agility of firms (Ghezzi and Cavallo, 2018; Piccoli and Ives, 2005). Nonetheless, it would incur certain fixed costs, including acquiring skills and awareness, to manage digital platforms. In addition, physical access to instruments such as smartphones or computers and internet connectivity are prerequisites for productivity enhancements. Firms belonging to the informal sector in India generally face these challenges but may also benefit significantly following successful adoption. To the best of the authors’ knowledge, this is the first study to conduct a preliminary empirical analysis of the impact of digital technology adoption on the performance of informal sector firms in India.

The study aims to explore the changing landscape of accounting and the role of emerging technologies in the accounting environment. The author presents viewpoints on the influence of artificial intelligence (AI), machine learning (ML) and other subsets in accounting, emphasising the increasing need for and significance of these applications. The viewpoints could provide researchers and practitioners with a meaningful overview of knowledge and research agenda.

The role of emerging technologies in accounting and various opportunities and challenges in implementation are discussed. In addition, possible future research directions are identified.

The paper does not contain empirical findings.

This paper expresses the author’s viewpoints regarding the impact of AI and ML on the changing accounting environment.

This paper aims to focus on how reading for pleasure is transmitted within the family. Using data taken from the Programme for International Student Assessment test of 2009, which dealt in depth with the reading proficiency of students, the authors show that children of parents who read for pleasure are better readers. Within the extensive research and published results on reading performance, the authors focused on the transmission of parents’ reading attitudes to their children.

In this study, the authors have opted for an approach of “difference in differences”, applied to a population that represents all 15-year-olds from five countries (Germany, Denmark, Hungary, Italy and Portugal). To support this study, the authors chose as a response variable the difference between reading performance and maths performance of each student, taking into account five plausible values for each student. The authors have several explanatory variables, among them what we call the “treatment”, which is the parents’ enthusiasm for reading.

The calculated estimations clearly indicate that there is a positive effect for four out of the five countries analysed, ranging from 4 points for Italy to 6.5 points for Germany and Portugal. As for the significance of the effect, with the exception of Hungary, the result is reliable and robust. It should also be noted that the variable that indicates the existence of a reading habit by children (daily reading for pleasure) is seen as a factor that positively affects the difference between competence in reading and mathematics in four out of the five countries analysed.

The results show positive effects on children whose parents read for pleasure, and this fact should be used to further encourage parents to promote their own reading time for pleasure. In view of the already quantified trend in international reports that adults are reading less, it seems crucial to involve educational authorities in reversing this phenomenon, knowing the impact that adult reading habits have on the reading competence of young people.

This paper aims to investigate the role of aripiprazole once monthly as a maintenance treatment in a sample of patients with schizophrenia comorbid with alcohol and substance use disorder (AUD/SUD).

A sample of 24 Italian adult patients has been recruited and treated with aripiprazole once monthly after clinical stabilization with oral aripiprazole during May 2021 and June 2022. Clinical evaluations have been performed at the baseline (T0) and after 12 (T1) and 24 (T2) weeks.

During the study period, an improvement of both the clinical condition and general health from baseline was observed, as well as a reduction of craving for alcohol/substances. However, from T0, the number of patients who continued with this study decreased at T1 (n = 8) and then at T2 (n = 4). No serious adverse events were reported, including changes in weight, lipid/glucose metabolism, electrocardiogram and extra-pyramidal side effects.

Although limited by the high number of drop outs, this observational real-world study provided insights into the use of aripiprazole once monthly among a sample of patients with schizophrenia and comorbid SUD/AUD. Further studies of longer duration and on a larger sample are needed.

This paper aims to investigate the literacy corpus regarding the potential of big data to improve public decision-making processes and direct these processes toward the creation of public value. This paper presents a map of current knowledge in a sample of selected articles and explores the intersecting points between data from the private sector and the public dimension in relation to benefits for society.

A bibliometric analysis was performed to provide a retrospective review of published content in the past decade in the field of big data for the public interest. This paper describes citation patterns, key topics and publication trends.

The findings indicate a propensity in the current literature to deal with the issue of data value creation in the private dimension (data as input to improve business performance or customer relations). Research on data for the public good has so far been underestimated. Evidence shows that big data value creation is closely associated with a collective process in which multiple levels of interaction and data sharing develop between both private and public actors in data ecosystems that pose new challenges for accountability and legitimation processes.

The bibliometric method focuses on academic papers. This paper does not include conference proceedings, books or book chapters. Consequently, a part of the existing literature was excluded from the investigation and further empirical research is required to validate some of the proposed theoretical assumptions.

Although this paper presents the main contents of previous studies, it highlights the need to systematize data-driven private practices for public purposes. This paper offers insights to better understand these processes from a public management perspective.

The purpose of this paper is to describe two‐ and three‐dimensional numerical modelling of solid oxide fuel cells (SOFCs) by employing an accurate and stable fully matrix inversion free finite element algorithm.

A general and detailed mathematical model has been developed for the description of the coupled complex phenomena occurring in fuel cells. A fully matrix inversion free algorithm, based on the artificial compressibility (AC) version of the characteristic‐based split (CBS) scheme and single domain approach have been successfully employed for the accurate and efficient simulation of high temperature SOFCs.

For the first time, a stable fully explicit algorithm has been applied to detailed multi‐dimensional simulation transport phenomena, coupled to chemical and electrochemical reactions, in fluid, porous and solid parts of a SOFC. The accuracy of the present results has been verified via comparison with experimental and numerical data available in the literature.

For the first time, thanks to a stabilization analysis conducted, the AC‐CBS algorithm has been successfully used to numerically solve the generalized model, applied in this paper to describe transport phenomena through free fluid channels and porous electrodes of SOFCs, without the need of further conditions at the fluid‐electrode interface.