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Computers and the information they process are critical to many organizations’ ability to perform their mission and business functions. It therefore makes sense that executives view computer security as a management issue and seek to protect their data which are stored in these computers. Presents a main objective of introducing a modeling design and verification of the monitoring part of common intrusion detection framework (CIDF) using Petri Nets. To enhance the security of a system by monitoring system activity and detecting a typical behavior, statistical unusual behavior must be found in the observation of the system. Such a monitoring system will be capable of detecting intrusion that could not be detected by any other means. These systems that do collect audit data are the only way to build a real secure system which is the most important part of the network. Presents a proposed model of the monitoring part of the CIDF based on Petri Nets modeling technique. Tests the proposed model using the Petri Nets properties.

Roots of global Terrorism are in ‘failed’ states carved out of multiracial empires after World Wars I and II in name of ‘national self‐determination’. Both sides in the Cold War competed to exploit the process of disintegration with armed and covert interventions. In effect, they were colluding at the expense of the ‘liberated’ peoples. The ‘Vietnam Trauma’ prevented effective action against the resulting terrorist buildup and blowback until 9/11. As those vultures come home to roost, the war broadens to en vision overdue but coercive reforms to the postwar system of nation states, first in the Middle East. Mirages of Vietnam blur the vision; can the sole Superpower finish the job before fiscal and/or imperial overstretch implode it?

This paper aims to develop a numerical model of bead spreading architecture of a viscous polymer in fused filament fabrication (FFF) process with different nozzle geometry. This paper also focuses on the manufacturing feasibility of the nozzles and 3D printing of the molten beads using the developed nozzles.

The flow of a highly viscous polymer from a nozzle, the melt expansion in free space and the deposition of the melt on a moving platform are captured using the FLUENT volume of fluid (VOF) method based computational fluid dynamics code. The free surface motion of the material is captured in VOF, which is governed by the hydrodynamics of the two-phase flow. The phases involved in the numerical model are liquid polymer and air. A laminar, non-Newtonian and non-isothermal flow is assumed. Under such assumptions, the spreading characteristic of the polymer is simulated with different nozzle-exit geometries. The governing equations are solved on a regular stationary grid following a transient algorithm, where the boundary between the polymer and the air is tracked by piecewise linear interface construction (PLIC) to reconstruct the free surface. The prototype nozzles were also manufactured, and the deposition of the molten beads on a flatbed was performed using a commercial 3D printer. The deposited bead cross-sections were examined through optical microscopic examination, and the cross-sectional profiles were compared with those obtained in the numerical simulations.

The numerical model successfully predicted the spreading characteristics and the cross-sectional shape of the extruded bead. The cross-sectional shape of the bead varied from elliptical (with circular nozzle) to trapezoidal (with square and star nozzles) where the top and bottom surfaces are significantly flattened (which is desirable to reduce the void spaces in the cross-section). The numerical model yielded a good approximation of the bead cross-section, capturing most of the geometric features of the bead with a reasonable qualitative agreement compared to the experiment. The quantitative comparison of the cross-sectional profiles against experimental observation also indicated a favorable agreement. The significant improvement observed in the bead cross-section with the square and star nozzles is the flattening of the surfaces.

The developed numerical algorithm attempts to address the fundamental challenge of voids and bonding in the FFF process. It presents a new approach to increase the inter-bead bonding and reduce the inter-bead voids in 3D printing of polymers by modifying the bead cross-sectional shape through the modification of nozzle exit-geometry. The change in bead cross-sectional shape from elliptical (circular) to trapezoidal (square and star) cross-section is supposed to increase the contact surface area and inter-bead bonding while in contact with adjacent beads.

This study aims to investigate the influence of religiosity (intrinsic and extrinsic) and halal literacy on the intention of Muslim consumers to purchase halal branded food products in India. An extended version of the theory of planned behaviour (TPB) was used as a framework. Apart from religiosity and halal literacy, the influence of attitude, social norms and perceived behavioural control of halal on buying intention were also tested.

The study uses a survey design. The data were collected from 350 individual respondents, using a closed-ended, structured questionnaire. The quality of the measurement model has been assessed through reliability testing, factor loading, average variance extracted and Fornell-Larcker criterion. The test of hypotheses was conducted by performing the partial least square structural equation modelling.

The result of hypotheses testing shows that both intrinsic and extrinsic types of religiosities did not have a direct influence on buying intention. However, religiosity (extrinsic and intrinsic) and halal literacy have significant relationships with most of the antecedents of the intention of the TPB. In addition, both kinds of religiosities (extrinsic and intrinsic) and halal literacy had a significant indirect effect (through TPB antecedents) on buying intention.

Muslim population in India is one of the largest in the world, yet there is a lack of popular halal branded food products in the market. Nevertheless, few researchers have attempted to study the consumer behaviour of the Muslim population for halal products in India. A large amount of research work on halal food behaviour is from countries such as Malaysia and Indonesia, where the Muslim population is in the majority and halal brands are already popular. Further, this paper studies the impact of dimensions of religiosity, which has been overlooked by researchers studying the halal food purchasing behaviour. The study also explores the impact of halal literacy, an understudied construct in halal marketing literature. The present study is amongst the earliest empirical research based on Muslim consumers in India on the topic of halal branded food products.

For more than nine decades, the Jewish–Palestinian conflict has dominated all aspects of life in the Arab world. The Arabs have disregarded and neglected their political, economic, and social development since 1916 because of their obsession with defeating the Jews or driving them into the sea. When the Arab armies collectively failed to destroy the newly established Jewish state in 1948, the dynamics of the conflict changed. On the one hand, Arab rationalists such as King Abdullah ibn al-Husyan (King Abdullah-I) (d 1951) of the Hashemite Kingdom of Jordan (HKJ) suggested accepting the United Nations Partition Plan as proposed by the UN General Assembly on November 29, 1947. On the other hand, most Arab countries followed the lead of Egyptian President Gamal Abdul Nassir, who advocated the destruction of Israel. The latter view was also adopted by the PLO during Ahmad Shukeiri's reign (1964–1967) and later by Yasir Arafat (1969–2004) and most Palestinian armed factions.

Additive manufacturing (AM), also known as three-dimensional (3D) printing technology, has been used in the health-care industry for over two decades. It is in high demand in the health-care industry due to its strength to manufacture custom-designed and personalized 3D constructs. Recently, AM technologies are being explored to develop personalized drug delivery systems, such as personalized oral dosages, implants and others due to their potential to design and develop systems with complex geometry and programmed controlled release profile. Furthermore, in 2015, the US Food and Drug Administration approved the first AM medication, Spritam® (Apprecia Pharmaceuticals) which has led to tremendous interest in exploring this technology as a bespoke solution for patient-specific drug delivery systems. The purpose of this study is to provide a comprehensive overview of AM technologies applied to the development of personalized drug delivery systems, including an analysis of the commercial status of AM based drugs and delivery devices.

This review paper provides a detailed understanding of how AM technologies are used to develop personalized drug delivery systems. Different AM technologies and how these technologies can be chosen for a specific drug delivery system are discussed. Different types of materials used to manufacture personalized drug delivery systems are also discussed here. Furthermore, recent preclinical and clinical trials are discussed. The challenges and future perceptions of personalized medicine and the clinical use of these systems are also discussed.

Substantial works are ongoing to develop personalized medicine using AM technologies. Understanding the regulatory requirements is needed to establish this area as a point-of-care solution for patients. Furthermore, scientists, engineers and regulatory agencies need to work closely to successfully translate the research efforts to clinics.

This review paper highlights the recent efforts of AM-based technologies in the field of personalized drug delivery systems with an insight into the possible future direction.

Fake news on social media about COVID-19 pandemic and its associated issues (e.g. lockdown) caused public panic that lead to supply chain (SC) disruptions, which eventually affect firm performance. The purpose of this study is to understand how social media fake news effects firm performance, and how to mitigate such effects.

Grounded on dynamic capability view (DCV), this study suggests that social media fake news effects firm performance via SC disruption (SCD) and SC resilience (SCR). Moreover, the relation between SCD and SCR is contingent upon SC learning (SCL) – a moderated mediation effect. To validate this complex model, the authors suggest effectiveness of using partial least squares structural equation modeling (PLS-SEM). Using an online survey, the results support the authors’ hypotheses.

The results suggest that social media fake news does not affect firm performance directly. However, the authors’ serial mediation test confirms that SCD and SCR sequentially mediate the relationship between social media fake news and firm performance. In addition, a moderated serial mediation test confirms that a higher level of SCL strengthens the SCD–SCR relationship.

This work offers a new theoretical and managerial perspective to understand the effect of fake news on firm performance, in the context of crises, e.g. COVID-19. In addition, this study offers the advancement of PLS as more robust for real-world applications and more advantageous when models are complex.

Prior studies in the SC and marketing domain suggest different effects of social media fake news on consumer behavior (e.g. panic buying) and SCD, respectively. This current study is a unique effort that investigates the ultimate effect of fake news on firm performance with complex causal relationships via SCD, SCR and SCL.

Arafat and Rabin's famous handshake opened a new stage in the Middle East peace talks. Recent delays in the process have centered more around economic than political issues. Two main controversies revolve around means for distributing aid funds and the development of viable financial networks in the Israeli Occupied Territories. These agenda are reviewed from the viewpoint of promoting U.S. trade interests in the region. Islamic banks, if they are granted licenses by the Israeli government, may provide an effective means for distributing funds, while at the same time promoting U.S.‐Arab mercantile trade.

This case can be used in teaching business ethics, organizational behaviour and human resource management. More specifically, romance in the workplace, discrimination, absenteeism, sneaking and cyberloafing in the workplace.

This case can be used for both undergraduate and postgraduate students particularly for business ethics, organizational behaviour, human resource management and leadership courses. Students/participants are challenged to identify the major issue in the case and help the decision maker to make a decision.

This case demonstrates the unethical behaviour of Natacha and Noman Ali. Natacha refused to comply with the company’s code of conduct and breached the company’s rules and regulations. Natacha used the company’s resources to carry out her personal business and also cheated on her attendance records, and the Director of Enforcement and the Inspectorate Division, Noman, continued to back and support her. Madam Siti Hajar had consulted and advised her many times, but Natacha did not pay attention to her advice. Madam Siti was in a dilemma: whether to report this unethical situation to the top management or to tolerate this situation and remain silent.

Expected learning outcomes are as follows: to identify and describe major issues related to workplace unethical behaviour; to provide examples of the concepts of commitment, dedication, fairness, discrimination and ethical leadership; to identify and analyse individual and organizational factors that may affect individuals’ unethical behaviour; to instruct students of the scientific methods involved in making decisions; and. to help students to think thoroughly, deeply and critically to make decisions that can solve the problem at hand.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 6: Human Resource Management.

Despite the abundant literature on panic buying during COVID-19 pandemic, the several causes and consequences of panic buying have been enormously ignored. The purpose of this study is to emphasize the consumer’s behavior during the COVID-19 pandemic and illustrate the comprehensive theoretical model of consumers’ panic buying to investigate its causes and consequences in a developing country empirically to uncover this gap.

The authors collected data from 419 households of all socioeconomic classes of Bangladesh. A hierarchical regression model analyzed the data.

This study finds that internal and external factors such as rumors, government strategies, fear and anxiety and health security significantly affect consumers’ panic buying behaviors. This finding supports some theories of human behavior. This study also finds that panic buying has internal and external consequences such as price hike, shortage of supply of products, dissatisfaction of consumers and increase in utility (benefit) of the products but not on consumer’s budget. This finding supports as well as contradicts some established theories of human and consumer behavior.

This study proves that panic buying cannot help the consumers and they are the ultimate sufferers of this. The findings of this study will help the government, media, suppliers and consumers to interact properly to maintain panic buying during a pandemic crisis. Giving a holistic explanation of the causes and consequences of panic buying by introducing some novel variables is a momentous strength of this study.