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This contribution aims to evaluate key theoretical bases that were used in previous research, to investigate the use of crowdfunding platforms by small businesses and startups. It presents the findings from a systematic review to better explain the pros and cons of utilizing these disruptive technologies for crowdsourcing and/or crowd-investing purposes.

The researchers adopt the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodical protocol to search, screen, extract and scrutinize seventy-two (72) articles that were indexed in both Scopus and Web of Science. They examine their research questions, describe their methodologies. Afterwards, they synthesize the findings from previous literature, outline implications and discuss about future research avenues.

A thorough review of the relevant literature suggests that there are opportunities as well as challenges for project initiators as well as for crowd-investors, if they are considering equity crowdfunding, peer-to-peer (P2P) lending and rewards-based crowdfunding platforms, among others, to raise awareness about their projects and to access finance from crowd-investors.

Further research is required on this timely topic. There are a number of theories relating to technology adoption and/or innovation management, strategic management, accounting and financial reporting, and normative/business ethics, among other research areas, that can be utilized as theoretical bases, to explore this topic.

Crowd-investors are striving in their endeavors to find a trade-off between risks and rewards associated with crowd-financing.

Currently, there are few systematic reviews and conceptual articles focused on the crowdfunding of small businesses and startups. Hence this contribution closes this gap in the academic literature. Moreover, it links the extant theory to practice. It clarifies that the resource-based view theory of the firm, the theory of planned behavior, the diffusion of innovations theory as well as the signaling theory, among other conceptual frameworks, can be used to investigate different facets of crowdsourcing and crowd-investing.

Building information modelling (BIM) has been established in the literature as a successful platform that creates an intelligent virtual model for processing data from conceptual design through construction to operational stage of a facility. However, its adoption for facilities management (FM) provision in Nigeria has been slow due to inherent barriers. The aim of this paper is to (1) assess and categorise using factor analysis BIM for FM barriers and (2) model the barriers using stakeholders' personal/professional attributes.

Anchored on quantitative research design, 205 copies of structured questionnaire were distributed to key stakeholders and facilities managers in Nigeria's three strategic cities while 135 valid responses were received giving a response rate of 65.8%. Data collected were analysed using descriptive statistics while multiple regression analysis was used to model the barriers. Kruskal Wallis test was used to test the only hypothesis postulated for the study.

The study established lack of awareness of BIM for FM, poor supporting infrastructure for Internet services, and lack of education and training as the top three rated barriers militating against adoption of BIM for FM in Nigeria while corruption, widespread mistakes and errors and cultural issues were established as the three least rated barriers. Besides, findings also established eight underlying factors that explained 23 barrier factors used for the study which were subsequently used to develop eight regression models. In effect, gender, professional affiliation, organisation, experience, education, expertise, BIM for FM project type, and location were found to statistically predict the 8 extracted factors driving perceived barriers of BIM for FM adoption in Nigeria.

The study has provided a framework of barrier factors to help stakeholders identify specific barriers for which appropriate measures can be taken to ameliorate consequences of the perceived barriers. Meanwhile, an improved and rejuvenated advocacy on inherent benefits of BIM for facilities management by frontline stakeholders could potentially steer up interests and increased participation of stakeholders on BIM for FM.

The unique study developed the first ever regression model that links BIM for FM barriers to professional attributes of facilities management stakeholders in Nigeria.

This content analysis examines the historical representation of Margaret Sanger within trade books. From the framework of the historiography, this paper unpacks how common curricular resources depict an American icon with a complicated past.

In this paper, the author conducted a content analysis of biographies and expository compilations featuring Sanger. The entire data pool were sampled and analyzed.

The trade books, particularly the biographies, historically represented Sanger in most categories. Sanger's international direct action and eugenics were two misrepresented areas. Expository compilations, with more limited space than biographies, contained more omissions and minimized or vague depictions of key areas. Findings did not appear dependent upon date of publication.

This study explores an icon of America's free speech battles and birth control rights at a time when culture wars are shaping current events. No researchers have previously explored Sanger's historical representation within trade books.

This paper aims to investigate how best to classify money laundering through online video games (i.e. virtual laundering). Currently, there is no taxonomy available for scholars and practitioners to refer to when discussing money laundering through online video games. Without a well-defined taxonomy it becomes difficult to reason through, formulate and implement effective regulatory measures, policies and security controls. As such, efforts to prevent and reduce virtual laundering incidence rates are hampered.

This paper proposes three mutually exclusive virtual laundering categorizations. However, instead of fixating on the processes undergirding individual instances of virtual laundering, it is argued that focusing on the initial locale of the illicit proceeds provides the appropriate framing within which to classify instances of virtual laundering. Thus, the act of classification becomes an ontological endeavour, rather than an attempt at elucidating an inherently varied process (as is common of the placement, layering and integration model).

A taxonomy is proposed that details three core virtual laundering processes. It is demonstrated how different virtual laundering categories have varied levels of associated risk, and thus, demand unique interventions.

To the best of the authors’ knowledge, this is the first taxonomy available in the knowledge base that systematically classifies instances of virtual laundering. The taxonomy is available for scholars and practitioners to use and apply when discussing how to regulate and formulate legislation, policies and appropriate security controls.

Previous research suggests the crucial role of parents in developing social behaviors of their children. However, less evidence is available on the role of parents in shaping responsible financial management behavior among children for their later life. This study bridges this gap by investigating the role of financial parenting in improving well-being among young Saudi people. Particularly, this study examines the role of financial parenting, childhood financial socialization and childhood financial experiences in developing responsible financial self-efficacy and financial coping behaviors to determine financial well-being among young adults in Saudi Arabia.

This study uses a two-step mixed-method approach comprising analyses of symmetric (net effects) and asymmetric (combinatory effects) modelling to test the proposed model. A symmetrical analysis examines the role of financial parenting factors that are sufficient for improving financial well-being among Saudis. An asymmetrical analysis is used to explore that a set of combinations of financial parenting conditions lead to high performance of financial well-being. Data have been collected from 350 students enrolled in undergraduate and postgraduate programs in Saudi Arabia.

According to asymmetric modeling (i.e. fsQCA) analysis, parents and practitioners can combine financial parenting, childhood financial socialization and childhood financial experiences along with financial self-efficacy and financial coping behaviors in a way that satisfied the conditions (i.e. causal antecedent conditions) leading to high financial well-being. Importantly, the condition of high financial well-being is not mirror opposite of causal antecedent conditions of low financial well-being.

This study contributes to the current knowledge by applying both symmetrical and asymmetrical modelling to indicate a high level of financial well-being. Besides, there is sparse empirical evidence available in the context of Saudi Arabia on how financial parenting, socialization and financial experiences in childhood improve children's financial well-being in their later life.

According to asymmetric modeling (i.e. fsQCA) analysis, parents and practitioners can combine financial parenting, childhood financial socialization and childhood financial experiences along with financial self-efficacy and financial coping behaviors in a way that satisfied the conditions (i.e. causal antecedent conditions) leading to high financial well-being. Importantly, the condition of high financial well-being is not mirror opposite of causal antecedent conditions of low financial well-being. The parents and practitioners must be cautious to regulate the condition in which the combination of the antecedents is not in line with the causal recipes of financial well-being negation.

This study deepens the current knowledge by employing both symmetrical and asymmetrical analysis for testing structural and configurational models indicating the high performance of financial well-being . The study proposes and tests an integrated model to bring new contributions to prior literature. This study also attempts to propose valuable research directions for future researchers interested in the topic.

This bibliometric study aims to analyze the latest trends and patterns of big data applications in librarianship from 2000 to 2022. By conducting a comprehensive examination of the existing literature, this study aims to provide valuable insights into the emerging field of big data in librarianship and its potential impact on the future of libraries.

This study employed a rigorous four-stage process of identification, screening, eligibility and inclusion to filter and select the most relevant documents for analysis. The Scopus database was utilized to retrieve pertinent data related to big data applications in librarianship. The dataset comprised 430 documents, including journal articles, conference papers, book chapters, reviews and books. Through bibliometric analysis, the study examined the effectiveness of different publication types and identified the main topics and themes within the field.

The study found that the field of big data in librarianship is growing rapidly, with a significant increase in publications and citations over the past few years. China is the leading country in terms of publication output, followed by the United States of America. The most influential journals in the field are Library Hi Tech and the ACM International Conference Proceeding Series. The top authors in the field are Minami T, Wu J, Fox EA and Giles CL. The most common keywords in the literature are big data, librarianship, data mining, information retrieval, machine learning and webometrics.

This bibliometric study contributes to the existing body of literature by comprehensively analyzing the latest trends and patterns in big data applications within librarianship. It offers a systematic approach to understanding the state of the field and highlights the unique contributions made by various types of publications. The study’s findings and insights contribute to the originality of this research, providing a foundation for further exploration and advancement in the field of big data in librarianship.

Work–family conflict is one of the most challenging stressors for construction industry professionals to cope with emotional problems. This study aims to propose a model linking work–family conflict and high-quality relationships among project team members and explore mediating effects of life and job satisfactions.

A theoretical framework was established based on the spillover theory and social exchange theory. Data were obtained by a questionnaire survey conducted with 328 respondents working in construction projects. Structural equation modeling (SEM) was used to test interrelationships among work–family conflict, job satisfaction, life satisfaction and high-quality relationship.

The results indicate that work–family conflict is negatively associated with both job and life satisfactions of construction professionals. In addition, there were direct and positive relationships between satisfaction domains and high-quality relationship capacity. The findings further support that job satisfaction plays a mediating role between work–family conflict and high-quality relationship among construction professionals, while life satisfaction does not mediate the relationship.

The effects of interrole conflicts on the context of satisfaction have been investigated previously; however, there is a lack of knowledge regarding its influence on high-quality relationship among project team members. This study extends the body of knowledge on high-quality relationships among project team members to understand how conflict and satisfaction factors influence interpersonal relationships in construction project management.

Corporate social responsibility (CSR) might be among the primary factors ensuring any organization’s survival, and disclosing its related information is very important. This research initially investigates the effect of managers’ behavior characteristics, including overconfidence, myopia and narcissism and corporate political ties on the disclosure of CSR. This study also aims to assess the mediating impact of political connections on the association between managerial personality traits and CSR.

The research sample included 129 listed companies on the Tehran Stock Exchange from 2013 to 2020. Behavioral managerers charecteristics. A multivariate regression method with combined data (firm-year) was used to test the research hypotheses.

The results show that overconfidence and managerial myopia cause the disclosure of CSR to decrease. Managers’ overconfidence and short-term attitudes lead to a decrease in the level of CSR activities of the companies and their disclosure, respectively, 0.021 and 0.025. However, the existence of narcissism in managers and having political ties by companies may lead to an increase in the disclosure of the CSR, respectively, around 0.089 and 0.02. Further findings also indicate that political connections may motivate narcissistic managers to increase CSR disclosure near 0.037. However, the results document no significant impact of political ties on the relationship between managerial overconfidence and myopia with CSR involvement.

According to the findings, the authors recommend to stockholders that employing narcissistic managers and improving political connections might be two effective strategies to enhance the level of CSR engagement. One of the critical limitations of the current paper might be its generalizability. As Iran is an emerging and fossil fuel seller country, its institutional settings may significantly differ from those of developed and industrial nations. Thus, the readers of these nations must consider such an important issue.

For the first time, to the best of the authors’ knowledge, this research has investigated the moderating effect of political ties on the association between management behavioral characteristics and the level of fulfilling CSR by listed companies.

Fierce competition among over-the-top (OTT) platforms has rendered branding a precondition for consumer appeal. This study proposes a new structural equation model for OTT brands, especially Netflix, where hedonic and eudaimonic entertainment motives function as facilitators of consumer brand engagement.

An online survey was conducted. Structural Equation Modeling was used to build the model and test for various direct, mediation, and moderation effects.

The results suggest a multiple mediation model in which the relationship between the two types of entertainment and intention to use Netflix is sequentially mediated by consumer attention and consumer brand engagement. Moreover, this study confirms that female consumers, compared to male consumers, exhibit higher levels of consumer brand engagement when motivated by hedonic entertainment.

This is the first study to present a novel structural model for the content consumption of OTT brands and test the role of the two types of entertainment in the intention to use Netflix.

The purpose of this study is to use a lifetime income measure to evaluate the long-run housing affordability for an understudied cohort of households in the literature – the millennials. The authors do this in the context of Malaysia, measuring long-run affordability for four housing types across geographic locations and income distributions.

This study calculates a long-run housing affordability index (HAI) using data on house prices and household incomes. Essentially a ratio of predicted lifetime incomes to house prices, the HAI is computed for four common housing types in Malaysia from 2005 to 2016 and for six states in the country. The HAI is also compared across four income percentiles.

The analysis reveals varying patterns of housing affordability among different states in Malaysia. Housing affordability has declined since 2010, with most housing types being unaffordable for millennial-led households with the lowest income. Housing is most affordable for those in the highest income bracket, although even here, there are pockets of unaffordable housing as well.

Based on the findings, this study proposes three targeted interventions to improve housing affordability for Malaysian millennials.

This study fills a gap in the literature by examining the long-run housing affordability of Malaysian millennial-led households based on both geographic location and income distribution. The millennial population is understudied in the housing affordability literature, making this study a valuable contribution to the field.