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This paper aims to study the impact of micro-level socio-economic, demographic and geographical factors on the likelihood of self-employment entry of young adults in Palestine and filling a gap in the analysis of determinants of self-employment for young adults in Palestine.

The research design is based on a multinomial logistic (MNL) model and on the testing of seven hypotheses deriving from the review of the theoretical and empirical literature, using a micro-level longitudinal data set from the Palestinian Labour Force Surveys (PLFS) between 2009 and 2016. In the analysis, the dependent variable (employment status) is a discrete variable that takes four unordered and independent outcomes: wage employee, self-employed, employer and unpaid family member.

This study has strong evidence that the likelihood of self-employment increases with age. However, results are inconsistent with the well-known curvilinear relationship between age and self-employment. Regarding the role of gender, results show that young men are more likely to become self-employed than young women. Results indicate that there is a significant and negative impact of an increasing level of education on self-employment entry for both youth and the whole population. On the opposite, training after graduation increases the likelihood of self-employment entry for youth with high education level. Besides, this paper finds that young workers living in urban areas have more likelihood to enter self-employment than those in rural areas and young workers in Gaza have more likelihood to enter self-employment than their counterparts in West Bank.

First, in both West Bank and Gaza, young women are less inclined to actively engage in self-employment, which confirms structural inequalities between men and women. Therefore, this study calls for social protection programmes and for national programmes that would promote and develop women’s self-employment. Second, because this paper finds that youth self-employment is more an opportunity-driven phenomenon than a necessity-driven one, this study calls for programmes that provide youth with small business grants and training on entrepreneurship and business models.

Insights are valuable as both government institutions and universities and entrepreneurial startups can benefit from knowing which factors contribute to the self-employment likelihood of youth in Palestine and use the policy recommendations to develop capacity-building programmes to provide the youth and women with skills and competencies which enable them to turn to self-employment.

The intensive blooming of social media, specifically social networks, pushed users to be integrated into more than one social network and therefore many new “cross-network” scenarios have emerged, including cross-social networks content posting and recommendation systems. For this reason, it is mightily a necessity to identify implicit bridge users across social networks, known as social network reconciliation problem, to deal with such scenarios.

We propose the BUNet (Bridge Users for cross-social Networks analysis) dataset built on the basis of a feature-based approach for identifying implicit bridge users across two popular social networks: Facebook and Twitter. The proposed approach leverages various similarity measures for identity matching. The Jaccard index is selected as the similarity measure outperforming all the tested measures for computing the degree of similarity between friends’ sets of two accounts of the same real person on two different social networks. Using “cross-site” linking functionality, the dataset is enriched by explicit me-edges from other social media websites.

Using the proposed approach, 399,407 users are extracted from different social platforms including an important number of bridge users shared across those platforms. Experimental results demonstrate that the proposed approach achieves good performance on implicit bridge users’ detection.

This paper contributes to the current scarcity of literature regarding cross-social networks analysis by providing researchers with a huge dataset of bridge users shared between different types of social media platforms.

In this paper, an approximate analytical approach is developed for the determination of natural longitudinal frequencies of a cantilever-cracked beam based on the Lagrange inversion theorem.

The crack is modeled by an equivalent axial spring with stiffness according to Castigliano's theorem. Thus, an implicit frequency equation corresponding to cantilever-cracked bar is obtained. The resulting equation is solved using the Lagrange inversion theorem.

Effect of different crack depths and crack positions on natural frequencies of the cracked beam is analyzed. It is shown that an increase in the crack depth ratio produces a decrease in the fundamental longitudinal natural frequency of a cracked bar. Furthermore, approximate analytical results are compared with those obtained numerically as well as from experimental tests.

A new approximate analytical expression of a fundamental longitudinal frequency, as a function of crack depth and crack location, is obtained.

The purpose of this paper is to introduce a new numerical approach for studying a cantilever bar having a transverse crack. The crack is modeled by an elastic longitudinal spring with a stiffness K according to Castiglione’s theorem.

The bar is excited by different longitudinal impulse forces. The considered problem based on the differential equation of motion is solved by the method of characteristics (MOC) after splitting the second-order motion equation into two first-order equivalent equations.

In this study, effects of the crack size and crack’s position on the reflected waves from the crack are investigated. The results indicate that the presence of the crack in the cantilever bar generates additional waves caused by the reflection of the incident wave by the crack.

A numerical approach developed in this paper is used for detecting the extent of the damage in cracked bars by the measurement of the difference between the dynamic response of an uncracked bar and a cracked bar.

This paper aims to investigate the relationship between digitalization and money laundering and tests whether ethical behaviour of firms and corruption moderate this association.

The sample includes 114 countries during 2016. Basel Anti-Money Laundering Report for 2016 is used to collect data concerning money laundering. Digitalization proxies are collected from digital adoption index from the World Bank for 2016. Finally, the remaining variables are gathered from the Global Competitiveness Report for the same year.

Results show negative and significant associations between the overall digitalization score and sub-scores dealing with digitalization adoption by businesses, people and government and money laundering. When testing for the moderating effect of corruption, the negative and significant association remains stable for both low and high corrupt environments for the overall digitalization score and sub-scores dealing digitalization adoption by businesses and people and money laundering. Similarly, ethical behaviour of firms does not moderate the association between digitalization (overall index and digitalization by business and people) and money laundering, as the relationship remains negative and significant for low and high ethical behaviour sub-samples. By contrast, the association becomes insignificant between digitalization adoption by government and money laundering for countries characterized by high corruption and low ethical behaviour of firms, while it is negative and significant for countries characterized by low corruption and high ethical behaviour firms.

These findings confirm that digitalization effort represents a crucial arm to combat money laundering. It also emphasizes the interrelation that may exist between digitalization effort in governmental institutions and institutional environment, as low levels of money laundering cannot be reached if the digitalization effort undertaken by governments is not supported by low corruption and ethical business environment.

To examine how social media restrict and recreate messages within current interactionist scripts in the Middle East and North Africa (MENA), this study applies a framework of digital reflexivity highlighting stages of information flow. It applies the symbolic interaction concept of emotional events to analyze the self-immolation of Mohamed Bouazizi and the role of social media in disseminating Bouazizi’s act as one catalyst of the MENA citizen uprisings. The role of social media in the “Arab Spring” merits investigation because social media provide opportunities to examine shifting identities, interactions, and actions of citizen activists in the MENA uprisings. This study is important and timely because little symbolic interactionist scholarship exists on MENA identities and social movements, or on crowd interaction and activism outside the West. The nuanced nature of MENA political activism and complex processes of the development of activists’ “mutable” selves (Zurcher, 1977) are fluid and resistant to symbolically defined social roles, interactionist scripts and reflexivity, and public communication practices in a MENA under political and social transition.

This paper aims to offer a comprehensive examination of the various solutions currently accessible for addressing the challenge of semantic interoperability in cyber physical systems (CPS). CPS is a new generation of systems composed of physical assets with computation capabilities, connected with software systems in a network, exchanging data collected from the physical asset, models (physics-based, data-driven, . . .) and services (reconfiguration, monitoring, . . .). The physical asset and its software system are connected, and they exchange data to be interpreted in a certain context. The heterogeneous nature of the collected data together with different types of models rise interoperability problems. Modeling the digital space of the CPS and integrating information models that support cyber physical interoperability together are required.

This paper aims to identify the most relevant points in the development of semantic models and machine learning solutions to the interoperability problem, and how these solutions are implemented in CPS. The research analyzes recent papers related to the topic of semantic interoperability in Industry 4.0 (I4.0) systems.

Semantic models are key enabler technologies that provide a common understanding of data, and they can be used to solve interoperability problems in Industry by using a common vocabulary when defining these models.

This paper provides an overview of the different available solutions to the semantic interoperability problem in CPS.

This paper aims to examine the effects of corporate governance and firm-specific characteristics on the incidence of financial restatement among Malaysian public listed firms.

The elements of corporate governance consist of board size, board independence, multiple directorships, audit committee expertise, external audit quality and executive compensation. Meanwhile, the firm-specific characteristics consist of firm age, firm performance, firm leverage and firm liquidity. The agency theory has been used to guide the study. This study used a matched-pair sample that consisted of a sample of 49 restatement firms and 98 non-restatement firms between the years 2011 and 2016. Univariate (t-test and Pearson correlation) and multivariate (logistic regression) statistical techniques were used to test the hypotheses.

The results show that there is a negative and significant relationship between executive compensation and firm performance, and the incidence of financial restatement. In addition, there is a positive and significant relationship between firm leverage and the incidence of financial restatement. However, the other corporate governance and firm-specific characteristic variables included in the study were found to be insignificant with the incidence of financial restatement. This paper provides evidence that some form of corporate governance mechanisms and firm-specific characteristics, particularly executive compensation, firm performance and firm leverage, may influence the direction and magnitude of the incidence of financial restatement. The findings indicate that optimal executive incentives may align management interests with those of shareholders. In addition, greater performance and lower leverage levels minimise firms’ financial pressure and debt covenant violation risk, which may reduce the management tendency to misstate the financial statement, and consequently, minimise the likelihood of financial restatement.

The main value of this paper is the effect of corporate governance and firm-specific characteristics on the likelihood of financial restatement in Malaysia. The findings of this study provide useful insights for regulators to improve and reconsider the current regulations on corporate governance mechanisms.

The purpose of this paper is to investigate the relationship between the attitudes, skills and knowledge-based researchers’ competencies (ASK-RC), academic affiliation (AA) and knowledge management (KM) and its effect on promoting the growth of scholarly international publications (SIPs).

This research takes a quantitative approach relying on primary data gathered through a questionnaire-based survey. The study’s target population includes lecturers, managers and researchers involved in research activities in educational institutions. To operationalize the research framework, this study used social cognitive theory (SCT) and the academic community served as an empirical field of study.

The primary findings of this research are twofold: ASK-RC and AA are positively and statistically significantly associated with SIP; KM moderates the influence of ASK-RC on SIP.

This research adds to the current body of literature on research productivity by providing new information and empirical evidence on improving research productivity and international publication. Moreover, this research offers a new approach to the existing literature stream by operationalizing an underexplored framework from the lens of SCT. This study explains why scientific research productivity is becoming increasingly important to academia and stakeholders. Because scientific works are motivated by the goal of addressing general socioeconomic and environmental concerns, it is possible to address this concern based on SCT. Therefore, this research offers theoretical and managerial implications that may interest academics, professionals and policymakers.