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1 – 10 of 57Holger Lausen, Ying Ding, Michael Stollberg, Dieter Fensel, Rubén Lara Hernández and Sung‐Kook Han
To present the state of the arts application of semantic web technologies in web portals and corresponding achievable improvements for identifying the potential improvement made…
Abstract
Purpose
To present the state of the arts application of semantic web technologies in web portals and corresponding achievable improvements for identifying the potential improvement made by semantic web technology.
Design/methodology/approach
An evaluation scheme is proposed to investigate various web portals that make use of semantic web technologies in order to identify their strengths and weaknesses. This scheme consists of three layers: information access, information processing and grounding technologies. Two academic portals and two commercial portals are selected based on the definition of semantic web portal. Detailed evaluation based on the proposed scheme is conducted on these four select portals.
Findings
Semantic web technologies can definitely increase the information consistency and the information processing quality of web portals by using ontologies to model portal structure and consensus knowledge. Furthermore, semantic web services will be acting as the key technologies to lift current portals to next level.
Originality/value
This paper proposes an elaborated evaluation method for investigating various portals. It reveals the current status of semantic web applications in web portals.
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This study aims to assess the effectiveness of forensic accounting techniques to prevent and detect fraudulent activities in firms in Pakistan.
Abstract
Purpose
This study aims to assess the effectiveness of forensic accounting techniques to prevent and detect fraudulent activities in firms in Pakistan.
Design/methodology/approach
A descriptive research approach has been adopted in this study. Primary data has been collected through structured questionnaires distributed to professionals from investigating firms, professional bodies and field researchers. The independent variables that were analyzed included fraud investigation, litigation support and dispute resolution, whereas the dependent variables were fraud detection and prevention. The Statistical Package for Social Sciences has been used for data analysis to derive objective results.
Findings
This research reveals that forensic accounting techniques such as fraud investigation, litigation support and dispute resolution have a positive impact on fraud detection and prevention in Pakistani firms.
Practical implications
Firms should train staff on forensic accounting techniques, implement fraud risk management and anti-corruption policies, conduct regular financial statement audits and develop a whistleblower protection program to encourage employees to report fraudulent activities. The government should develop regulations and guidelines to promote the use of forensic accounting in firms.
Originality/value
This study is covering the gap in literature on financial fraud and forensic accounting practices concerning emerging economies such as Pakistan. This study can serve as a valuable resource for firms and policymakers to strengthen their fraud prevention efforts and build a more robust culture of financial integrity.
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The aim of this paper is to investigate the linkages between intergenerational income mobility and crime for 27 OECD countries, considering different types of crime, family ties…
Abstract
Purpose
The aim of this paper is to investigate the linkages between intergenerational income mobility and crime for 27 OECD countries, considering different types of crime, family ties, enforcement, in terms of punishment rate and perceived quality of the legal system, redistributive outcomes and government expenditure.
Design/methodology/approach
Using the Global Database of Intergenerational Mobility (GDIM), the empirical analysis is conducted by coupling the principal components analysis with the hierarchical clustering. The variance tests verify the robustness of the clusters.
Findings
Income mobility is higher in those countries where there is high public investment devoted to education and high perception of rule of law to buffer the adverse effects of crime on income mobility. The redistributive policies must be oriented to better the wealth distribution and not only income equality opportunity to decrease crime and to increase income mobility. A plausible existence of “hidden” income mobility emerges from the linkages between income mobility and frauds.
Social implications
More redistributive policies for education, income and wealth equality should be applied in those countries with low income mobility and high violent crime rates; higher punishment rates should be applied to reduce the rates of thefts and frauds in high income mobility countries.
Originality/value
The main contribution is the identification of what type of crime leads to downward income mobility, as well as the role of perceived quality of the legal system, government and family ties in the association between income mobility and crime, suggesting also the potential existence of “hidden” income mobility.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-07-2023-0520
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Terrorism has historically been spawned by inequitable, unjust systems with inadequate democratic options to articulate popular aspirations and ensure conflict resolution. The…
Abstract
Terrorism has historically been spawned by inequitable, unjust systems with inadequate democratic options to articulate popular aspirations and ensure conflict resolution. The event of September 11, 2001 changed it all when terrorism hit the center of the increasingly globalized post-Cold War international system. The 9/11 incident has played as the role of a catalyst in initiating joint governmental policies to combat international terrorism both in India and the USA. After the incident, the former US President, George W. Bush, announced to the world community to fight against international terrorism collectively on the basis of a zero-tolerance policy. India has been the victim of cross-border terrorism promoted by Pakistan for a long time. India is the world’s largest democracy and one of its fastest-growing economics. Due to the recurrence of terrorist attacks, its security system and its socioeconomic structure have had to face tremendous pressure. Just after the 9/11 incident (attack on WTC) world’s largest (India) and oldest (USA) democracies have come closer to jointly fight against international terrorism. Both al-Qaida and the Taliban were the common enemies for Washington and New Delhi. At the governmental level, a number of policies and working groups have been organized by the two countries in order to diminish global terrorism. This chapter intends to explore the effects of joint governmental policies by India and the USA for combating international terrorism.
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Bappaditya Biswas and Ashish Kumar Sana
Terrorism finance (TF) has been aptly termed as the lifeblood of terrorism. TF provides funds for terrorist activities. Terrorists mobilize funds by using the formal banking…
Abstract
Terrorism finance (TF) has been aptly termed as the lifeblood of terrorism. TF provides funds for terrorist activities. Terrorists mobilize funds by using the formal banking system, informal value-transfer systems, hawalas, Hundis, and the oldest method of asset transfer. They may raise funds from legitimate sources, such as personal donations and profits from businesses and charitable organizations, as well as from criminal sources, like the drug trade, the smuggling of weapons and other goods, fraud, kidnapping, and extortion. Countering the financing of terrorism is a far greater challenge throughout the world. The objectives of the chapter are as follows: (1) to identify the different sources of terrorism financing, (2) to analyze various ways of moving terrorism funds globally, and (3) to examine the initiatives taken to counter terrorism financing.
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Nidhi Chowdhary and Sourav Kumar Das
The threat of terrorism is not just limited to a particular nation, rather it has affected the economies of several developed and developing nations. In this study, we have tried…
Abstract
The threat of terrorism is not just limited to a particular nation, rather it has affected the economies of several developed and developing nations. In this study, we have tried to analyze how terrorism has been sought to be tackled and how it can be tackled. In this context, we present the extent to which the method adopted by the USA after the 9/11 attacks, which is popularly called the Global War on Terror (GWOT), has been successful in eliminating terrorism from the world. Only qualitative methodology has been used in this chapter, and most of it has been derived from secondary sources. Through this study, we seek to show that the successes of GWOT have been limited in nature, in spite of tall claims. In fact, what the US has achieved by GWOT in the name of success is the killing of the leaders of some terrorist organizations, successful disruption of their sanctuaries, passing several legislations in order to launch counterterrorism operations, and the freezing the finances of these terrorist organizations by banning some of their charity-based organizations. This chapter lists the gains obtained as a result of GWOT and also highlights what may be called the failures of this global endeavor. Such a proposition aims at showing why GWOT is not only but possibly the best solution to eradicate terrorism. The unexpected outcomes, however, have been many, not only for terrorism but also for international politics, thereby impacting international organizations and also the third-world nations.
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Júlio Lobão and Sofia P. Baptista
This study aims to examine the deterrent effect of the Market Abuse Directive (MAD) introduced in the European Union in 2003. The purpose is to evaluate whether the Directive has…
Abstract
Purpose
This study aims to examine the deterrent effect of the Market Abuse Directive (MAD) introduced in the European Union in 2003. The purpose is to evaluate whether the Directive has resulted in significant changes in pre-bid stock price run-ups observed in mergers and acquisitions within the Portuguese, Spanish and Greek stock markets.
Design/methodology/approach
The study analyzes a sample of 199 mergers and acquisitions in the aforementioned stock markets. The magnitude of pre-bid stock price run-ups is investigated as an indicator of illegal insider trading. The effects of the MAD, toehold positions of bidders and industry similarity between firms involved in the deals are assessed using statistical analysis.
Findings
The study’s findings indicate that the MAD has been ineffective in deterring investors from trading on non-public information. Pre-announcement price run-ups remain significant, suggesting ongoing illegal insider trading practices. Additionally, the research reveals that pre-bid stock price run-ups tend to be lower when bidders have established a larger toehold position in the target and when the firms involved in the deal belong to the same industry.
Originality/value
This study contributes to the existing literature by providing empirical evidence on the ineffectiveness of the MAD in deterring illegal insider trading. The findings highlight the limitations of increasing penalties without an effective monitoring system in place. Furthermore, the study identifies additional factors, such as toehold positions and industry similarity, that influence the magnitude of pre-announcement price run-ups in mergers and acquisitions.
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Mariam Aljassmi, Awadh Ahmed Mohammed Gamal, Norasibah Abdul Jalil and K. Kuperan Viswanathan
It is widely argued that money laundering (ML) is not a new phenomenon and the pervasiveness of ML is associated with some severe economic, social and political costs. Due to the…
Abstract
Purpose
It is widely argued that money laundering (ML) is not a new phenomenon and the pervasiveness of ML is associated with some severe economic, social and political costs. Due to the lack of studies on the ML’s issue in the UAE, this study aims to examine the determinants of ML in the country between 1975 and 2020.
Design/methodology/approach
The autoregressive distributed lag bounds testing results demonstrate the presence of long-run relationship between ML and the selected macroeconomics variables. The analysis is validated by the dynamic ordinary least squares, the fully modified ordinary least squares and the canonical co-integration regression estimators.
Findings
The estimation result reveals that while the real estate market, outflow of money, arms procurement and size of the underground economy influences the size of ML positively, gold trade, the level of financial development and the size of economic activities are negatively associated with ML, both in the short- and long-run.
Originality/value
Up to date from a country-level analysis, no study has been devoted to the ML in UAE, except for Aljassmi et al. (2023). To the best of the authors’ knowledge, this study is the first to investigate the determinants of laundered money in the UAE economy. Based on these outcomes, strategies and measures which will deter the laundering of illicit funds through the real estate and gold market, remittance system, financial system and arms procurement contracts in the UAE are recommended.
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Mariam Aljassmi, Awadh Ahmed Mohammed Gamal, Norasibah Abdul Jalil, Joseph David and K. Kuperan Viswanathan
Despite the vulnerability of rapidly developing and emerging market economies, researchers have paid less attention to the determination of the size of money laundering (ML) in…
Abstract
Purpose
Despite the vulnerability of rapidly developing and emerging market economies, researchers have paid less attention to the determination of the size of money laundering (ML) in these economies, including the United Arab Emirates (the UAE). Therefore, this paper aims to estimate the magnitude of ML in the UAE between 1975 and 2020 based on the currency demand approach (CDA).
Design/methodology/approach
The study uses the Gregory–Hansen cointegration technique alongside the autoregressive distributed lag bounds testing procedure to estimate the CDA model.
Findings
The results illustrate that an amount equivalent to about 19.034% of the GDP is laundered in the UAE between 1975 and 2020, on average, with the value lying between 15.129% and 23.121%. In addition, the results demonstrate the importance of the real estate market, gold trade, remittance channels and the size of the underground economy in facilitating the laundering of illicit funds in the country.
Originality/value
To the best of the authors’ knowledge, the study is the pioneering attempt at estimating the amount of illicit funds laundered in the UAE. Besides, the adoption of a novel, yet robust, approach based on the modification of the CDA technique also sets the study apart as it ensures a correct, clear, unambiguous and indisputable estimate of the magnitude of ML is obtained. In addition, it is expected that the outcome of the study will expand the frontiers of knowledge among policy makers and relevant agencies and ensure the adoption of the most efficient and effective measures to curb the ML menace in the country.
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