Search results

The study aims to examine the impact of key variables on the success of solicited and unsolicited private participation in infrastructure (PPI) projects using machine learning techniques.

The data has information on 8,674 PPI projects primarily derived from the World Bank database. In the study, a machine learning framework has been used to highlight the variables important for solicited and unsolicited projects. The framework addresses the data-related challenges using imputation, oversampling and standardization techniques. Further, it uses Random forest, Artificial neural network and Logistics regression for classification and a group of diverse metrics for assessing the performances of these classifiers.

The results show that around half of the variables similarly impact both solicited and unsolicited projects. However, some other important variables, particularly, institutional factors, have different levels of impact on both projects, which have been previously ignored. This may explain the reason for higher failure rates of unsolicited projects.

This study provides specific inputs to investors, policymakers and practitioners related to the impacts of several variables on solicited and unsolicited projects separately, which will help them in project planning and implementation.

The study highlights the differential impact of variables for solicited and unsolicited projects, challenging the previously assumed uniformity of impact of the given set of variables including institutional factors.

The purpose of this study is to investigate the current literature that has explored project success in the information and communication technology (ICT) sector.

The literature search was carried out for related articles in three databases: the Web of Science, Scopus and Ebscohost. Using a systematic literature review (SLR) methodology, 75 related articles were sorted out. Furthermore, the methods of frequency and content analysis were used to identify, categorize and arrange critical success factors (CSF) of ICT projects based on their importance, interrelation and cultural regions.

The findings in this study revealed that interest in researching success in ICT projects has increased significantly during the last five years. Through reviewing the selected articles, 25 CSF were identified. User participation, stakeholder relationship, project manager emotional intelligence, communication skills, and leadership skills, and top management support in the project emerged as the most important factors for ICT projects. Furthermore, we found that each regional group gives different level of importance to different CSF.

This study gives the opportunity to practitioners to control the highest value CSF to increase the success rate of ICT projects carried out in different cultural regions.

As the first study of its type, CSF were divided for different cultural regional groups. This paper further explained that certain CSF have different levels of importance in different culture regions. This study suggests that regional culture needs consideration during the evaluation of CSF.

The coronavirus disease (COVID-19) pandemic has negatively affected project management organisations especially those conducting large construction projects that involve a large number of people, complex supply chains, and lack of experience and preliminary arrangements in managing remote work. This study aims to analyse the impact of COVID-19 on the construction sector and how to minimise the effect of pandemic disruptions.

This study is based on the reviews of relevant reports, articles and semi-structured interviews of the construction experts working in the Pakistan construction industry during the current COVID-19 pandemic. The primary data for this study were collected through semi-structured interviews with the construction experts and analysed them using thematic analysis. A total of 15 semi-structured interviews were conducted in this study.

Through thematic analysis, this study identified approximately 55 initial raw data themes, 15 first-order themes, 11 second-order themes and 4 general dimensions of the impact of COVID-19 on the construction sector. The authors identified working style and behavioural changes, challenges and risks, stakeholders and new directions for the construction sector in the post-pandemic world as the four main dimensions of the effect of the pandemic on the construction sector. Further, least digitalisation, complex cash flow, abundance of labour-intensive methods, diverse stakeholders, and dependencies on foreign expertise, imported material and machineries were identified as the most important reasons for poor resiliency of the construction sector during COVID-19 pandemic in Pakistan.

This study major contributions are: (1) analysing the impact of COVID-19 on the construction sector in relation to Pakistan, (2) discussing new directions for the construction sector and (3) putting in place a set of mitigation measures that will help minimise disruptions in construction-related projects to ensure that set objectives are achieved.

The COVID-19 pandemic has brought profound changes to all sectors of society including the construction sector. The main purpose of this study is to explore and provide insights into the impact and changes that have occurred in the construction sector due to COVID-19 and to present a mitigation framework to minimize the effects.

The scope of this study is limited to peer-reviewed articles in Scopus or Web of Science indexed journals. A systemized review was performed with bibliometric and content analyses of articles related to the impact of COVID-19 on the construction sector.

Through content analysis, the main topics discussed in the selected articles were grouped into 10 categories. Most of these studies were found to have focused on the challenges, impact, and health and safety at construction sites resulting from the pandemic. The study further identified 39 subtopics through detailed content analysis and organizes them into the categories of negative impacts, positive impacts and opportunities and barriers to COVID-19 safety guidelines in the construction sector. Moreover, the study developed a systematic mitigation strategy based on the recommendations of the literature review to reduce the impact of the current pandemic on the construction sector. The mitigation strategy presents separate set of measures regarding safety guidelines, process improvements, government intervention, psychological support and technology adoption.

The research insights provided in this study are useful for practitioners in guiding them to design effective strategies for addressing the challenges of the COVID-19 pandemic and future crises. Furthermore, a systematic presentation of the impacts, challenges and mitigation measures in this study will help researchers to identify existing gaps in the literature and explore other aspects of the impact of the pandemic on the construction sector.

There is significant amount of literature tackling different issues related to the port industry. The present chapter focuses on a single business unit of seaports aiming at the documentation of works related to container terminals.

An effort to review, collect and present the majority of the works present in the last 30 years, between 1980 and 2010, has been made in order to picture the problems dealt and methods used by the authors in the specific research field. To facilitate the reader, studies have been grouped under five categories of addressed problems (productivity and competitiveness, yard and equipment utilization, equipment scheduling, berth planning, loading/unloading) and four modelling methodologies (mathematics and operations research, management and economics, simulation, stochastic modelling).

The analysis shows that most works focus on productivity and competitiveness issues followed by yard and equipment utilisation and equipment scheduling. In reference to the methodologies used managerial and economic approaches lead, followed by mathematics and operations research.

In reference to future research, two fields have been identified where there is scope of significant contribution by the academic community: container terminal security and container terminal supply chain integration.

The present chapter provides the framework for researchers in the field of port container terminals to picture the so far works in this research area and enables the identification of gaps at both research question and methodology level for further research.

This study investigates the structural relationships among humor leadership, psychological empowerment, innovative behavior, and job performance in the Korean hotel industry. This study reveals following key major findings. First, a leader’s use of humor in leadership significantly and positively influences an employee’s psychological empowerment. Second, an employee’s psychological empowerment significantly and positively influences innovative behavior and job performance. However, innovative behavior does not significantly influence job performance. In the final section, theoretical and managerial implications are discussed.

The main purpose of this research is to construct a generalized set of innovation processes that occur at the ecosystem level based on the academic research. The study analyzes the cultural and creativity-driven over-the-top (OTT) platform that encompasses diverse network of ecosystem members by utilizing the four cooperation practices.

This study begins with the literature review that discusses various topics related to ecosystem (e.g. service innovation, innovative ecosystem). Then, this study introduces a new conceptual framework that describes how cooperations occur in the ecosystem. Finally, a qualitative and explorative case study of the OTT platforms in the global context is conducted.

The application of the framework reveals how co-innovative business ecosystems demonstrate co-evolution through different structures and directions. An ecosystem can evolve by incorporating other industries (i.e. horizontal growth or broadening strategy) to deepen and broaden the industry integration.

As an explorative approach that opens the discussion on how co-innovation and co-evolution occur at the ecosystem level, particularly in the culture and creativity-driven industry, the value of this research extends to other similar industries where diverse actors such as technology firms, Internet firms, direct consumers, government and even the society impact the type of product and service and shape the evolution of the entire ecosystem.

This paper investigates a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on bibliometric. JDQSs yearly publications, citations, impact factors, and centrality indices grew up in early 2010s, and diminished in 2020. Keyword network analysis reveals the JDQS's main keywords including behavioral finance, implied volatility, information asymmetry, price discovery, KOSPI200 futures, volatility, and KOSPI200 options. Citations of JDQS articles are mainly driven by article age, demeaned age squared, conference, nonacademic authors and language. In comparison between number of views and downloads for JDQS articles, we find that recent changes in publisher and editorial and publishing policies have increased visibility of JDQS.