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The purpose of this paper is to discuss the need to establish linkages between tourism, intangible cultural heritage and creativity in Egypt and also diversifying tourism through creativity; and to analyze and explain the impact of intangible cultural heritage on tourism experience in Egypt and the opportunities to generate added value from integrating tourism and creativity. It also suggests some practical steps for developing intangible cultural heritage-based tourism models in Egypt.

The paper proposes a conceptual framework for integrating intangible cultural heritage with tourism in Egypt and its impact on tourism experience. To apply this framework, a case study was conducted focused on the tourism experience derived from intangible cultural heritage in Alexandria. The authors collected primary data by directly observing and experiencing tourism in Egypt, providing valuable firsthand experiential data. These observations offered insights into the practical aspects of intangible cultural heritage-based tourism in Egypt. In addition, secondary data sources such as academic research papers, reports and publications related to tourism and intangible cultural heritage experiences were utilized to support and complement the primary data.

Findings suggest the need for a different approach in intangible heritage based tourism promotion and consumption, an approach that may differ from the conventional and typical considerations in cultural tourism planning and management. In addition, findings emphasized that tourism-based intangible heritage in Egypt can be a constructive platform and sustainable tool to promote the country’s rich culture and traditions while providing employment opportunities for the local population.

This study provides an exploratory overview of integrating intangible heritage with tourism in Egypt, through exploring Egypt’s intangible heritage and proposing a framework of its inclusion, in order to create an intangible cultural heritage tourism experience. However, the proposed framework and packages should be analyzed and examined on the ground through the heritage, administrative, social and tourist aspects of the destination, to assess the viability of the study.

The practical implications of this study should be addressed to the decision makers working on management action plans in tourist destinations in Egypt, such as site mangers as well as tour operators. It could contribute to adopting a new approach in developing and implementing a mutually beneficial partnership between intangible heritage and tourism in Egypt.

It is the first study that presents practical steps to develop new models for linking intangible heritage to tourism in Egypt.

This paper aims at developing a behavioral agent-based model for interacting financial markets. Additionally, the effect of imposing Tobin taxes on market dynamics is explored.

The agent-based approach is followed to capture the highly complex, dynamic nature of financial markets. The model represents the interaction between two different financial markets located in two countries. The artificial markets are populated with heterogeneous, boundedly rational agents. There are two types of agents populating the markets; market makers and traders. Each time step, traders decide on which market to participate in and which trading strategy to follow. Traders can follow technical trading strategy, fundamental trading strategy or abstain from trading. The time-varying weight of each trading strategy depends on the current and past performance of this strategy. However, technical traders are loss-averse, where losses are perceived twice the equivalent gains. Market makers settle asset prices according to the net submitted orders.

The proposed framework can replicate important stylized facts observed empirically such as bubbles and crashes, excess volatility, clustered volatility, power-law tails, persistent autocorrelation in absolute returns and fractal structure.

Artificial models linking micro to macro behavior facilitate exploring the effect of different fiscal and monetary policies. The results of imposing Tobin taxes indicate that a small levy may raise government revenues without causing market distortion or instability.

This paper proposes a novel approach to explore the effect of loss aversion on the decision-making process in interacting financial markets framework.

Asset pricing dynamics in a multi-asset framework when investors’ trading exhibits the disposition effect is studied. The purpose of this paper is to explore asset pricing dynamics and the switching behavior among multiple assets.

The dynamics of complex financial markets can be best explored by following agent-based modeling approach. The artificial financial market is populated with traders following two heterogeneous trading strategies: the technical and the fundamental trading rules. By simulation, the switching behavior among multiple assets is investigated.

The proposed framework can explain important stylized facts in financial time series, such as random walk price dynamics, bubbles and crashes, fat-tailed return distributions, absence of autocorrelation in raw returns, persistent long memory of volatility, excess volatility, volatility clustering and power-law tails. In addition, asset returns possess fractal structure and self-similarity features; though the switching behavior is only allowed among the asset markets.

The model demonstrates stylized facts of most real financial markets. Thereafter, the proposed model can serve as a testbed for policy makers, scholars and investors.

To the best of knowledge, no research has been conducted to introduce the disposition effect to a multi-asset agent-based model.

Drawing on the Ability–Motivation–Opportunity (AMO) theory, this study aims to test the effect of green human resource management (G-HRM) on green organizational citizenship behavior (G-OCB) taking into consideration green culture as the mediator and green values as the moderator.

Valid data from 240 entities collected in Taiwan were analyzed to test the five hypotheses. The valid data were analyzed using confirmatory factor model, correlation analysis, structural equation modeling and bootstrapping analysis.

The results for all relationships show significant associations. G-HRM is significantly associated with G-OCB and green culture, while green culture is significantly related to G-OCB. The mediating effect of green culture on the G-HRM-G-OCB relationship is significant. The moderating effect of green values on the green culture–G-OCB relationship is significant.

The originality of this study lies in being one of the first study in an advanced emerging economy utilizing the AMO theory.

Islamic microfinance institutions (IsMFIs) have used diverse models and tools, as they seek to provide financial and non-financial support to the farming communities. A majortity of IsMFIs focus on provision of micro-credit to farmers alone as a means to enhance food security, following an approach similar to that of the conventional microfinance institutions. Others adopt a “finance-plus” approach and provide support in a multitude of areas other than finance, such as, technology, production, marketing, business development, capacity building, and thus, ultimately steering the project to success. The purpose of this paper is to examine the models and tools of Islamic agricultural finance for the rural poor that display major variations and draw lessons from a policy perspective.

The study undertakes a comprehensive review of the principles, modes and models of Islamic agricultural finance targeted at small-holder farmers. It uses a case study method to review several winning initiatives by IsMFIs across the globe. It highlights the various risks and challenges confronting the projects and how the same are sought to be mitigated.

Islamic agricultural finance for the rural poor involves a range of modes, mechanisms and institutional structures. Credit-based and sharing-based modes work well under specific conditions and there is no one-size-fits-all solution for financing the rural poor. Case studies of successful initiatives reveal that composite models involving the integration of philanthropy-based, not-for-profit as well as for-profit components may provide ideal solutions. Additional factors critical for success include provision of safety nets, involvement of community, non-financial support in a multitude of areas other than finance, such as, technology, procurement, production, marketing, business development and institutional capacity building.

The paper addresses a fundamental issue in financing the poor farmers in Muslim societies – whether to opt for a credit-based approach that would ensure greater outreach or to go for a holistic intervention involving financing of the entire value chain. The findings are based on personal interaction of the author with professionals directly involved in the projects.

Herein, this study aims to use our recently tailored and fully characterized poly acrylonitrile (AN)-starch nanoparticle graft copolymer having 60.1 graft yield percentage as a starting substrate for copper ions removal from wastewater effluent after chemical modification with hydroxyl amine via oximation reaction as a calorimetric sensor.

The calorimetric sensor batch technique was used to determine the resin's adsorption capacity, while atomic adsorption spectrometry was used to determine the residual copper ions concentration in the filtrate before and after adsorption. This was done to convert the copolymer's abundant nitrile groups into amidoxime groups, and the resulting poly (amidoxime) resin was used as a copper ion adsorbent. To validate the existence of amidoxime groups, the resin was qualitatively characterized using a rapid vanadium ion test and instrumentally using Fourier transform infrared spectroscopy spectra and scanning electron microscopy morphological analysis.

At pH 7, 400 ppm copper ions concentration and 0.25 g adsorbent at room temperature, the overall adsorption potential of poly (amidoxime) resin was found to be 115.2 mg/g. The process's adsorption, kinetics and isothermal analysis were examined using various variables such as pH, contact time, copper ion concentration and adsorbent dose. To pretend the adsorption kinetics, various kinetics models, including pseudo-first-order and pseudo-second-order, were applied to the experimental results. The kinetic analysis indicated that the pseudo-second-order rate equation promoted the development of the chemisorption phase better than the pseudo-first-order rate equation. In the case of isothermal investigations, a study of observed correlation coefficient (R²) values indicated that the Langmuir model outperformed the Freundlich model in terms of matching experimental data.

To the best of the author's information, there is no comprehensive study for copper ions removal from waste water effluent using the recently tailored and fully characterized poly (AN)-starch nanoparticle graft copolymer having 60.1 graft yield percentage as a starting substrate after chemical modification with hydroxyl amine via oximation reaction as a calorimetric sensor.

Extraction of leaf region from the plant leaf images is a prerequisite process for species recognition, disease detection and classification and so on, which are required for crop management. Several approaches were developed to implement the process of leaf region segmentation from the background. However, most of the methods were applied to the images taken under laboratory setups or plain background, but the application of leaf segmentation methods is vital to be used on real-time cultivation field images that contain complex backgrounds. So far, the efficient method that automatically segments leaf region from the complex background exclusively for black gram plant leaf images has not been developed.

Extracting leaf regions from the complex background is cumbersome, and the proposed PLRSNet (Plant Leaf Region Segmentation Net) is one of the solutions to this problem. In this paper, a customized deep network is designed and applied to extract leaf regions from the images taken from cultivation fields.

The proposed PLRSNet compared with the state-of-the-art methods and the experimental results evident that proposed PLRSNet yields 96.9% of Similarity Index/Dice, 94.2% of Jaccard/IoU, 98.55% of Correct Detection Ratio, Total Segmentation Error of 0.059 and Average Surface Distance of 3.037, representing a significant improvement over existing methods particularly taking into account of cultivation field images.

In this work, a customized deep learning network is designed for segmenting plant leaf region under complex background and named it as a PLRSNet.

Although there are over 55,000 social enterprises operating in Egypt, the social entrepreneurship field is still failing to create the desired social change. This paper aims to explore the challenges faced by the field with a special focus on government related challenges as well as offer a set of recommendations to the Egyptian government to enhance the field.

The research was carried out in two phases; reviewing the literature around the topic through a secondary research followed by an empirical research interviewing four social enterprises, the ministry of social solidarity and experts in the field of social entrepreneurship.

The paper arrived to several challenges and they were organized into three main themes: challenges related to policy-making and other legal aspects; challenges related to institutional and operational support; and challenges related to social, educational and cultural awareness of the field and its ecosystem. The paper also came up with a set of nine recommendations directed to the Egyptian Government.

The originality and value of this research is that it offers first hand viewpoints of the challenges facing the field of social entrepreneurship in Egypt as well as offer practical recommendations to the Egyptian Government to overcome them.

This paper aims to explore the extent to which women’s entrepreneurship in conflict zones is an influential catalyst for liberalising traditionally conservative gender norms. This purpose is achieved by focussing on women entrepreneurs in Gaza and how they actively renegotiate their multiple gender roles and navigate the social order through entrepreneurship.

This paper adopts the interpretivist approach where individual in-depth interviews were conducted with 16 Palestinian women entrepreneurs operating in Gaza.

The findings demonstrate that the context of conflict itself and its impact on gender norms is a prime motivator for women to engage in entrepreneurial ventures. Some gender roles were constraining and other enabling women to initiate and sustain their ventures to contribute to their families’ well-being. In spite of the fact that the conflict context and entrepreneurship have contributed to enhancing the agency of women and their ability to navigate the conflict and its consequences, the gendered practices and assumptions are still used as guidance for legitimising women’s entrepreneurship.

This paper contributes to the gender and entrepreneurship literature by giving greater visibility to women entrepreneurs operating in conflict zones, which remain under researched. This paper also demonstrates how prolonged conflict instigates social and economic changes that can empower women entrepreneurs while simultaneously reinforcing gendered norms.

Knowledge sharing, the most important process in knowledge management, enables knowledge-intensive organizations to foster innovations and to gain competitiveness. Universities, the best contemporary embodiments of knowledge-intensive organizations, nowadays face fiercer competition in the changing world. Knowledge sharing is the key for academic departments to gain competitive advantages through innovation. However, limited studies examined the relationships between top management support, knowledge sharing and affiliation and trust. Based on the literature review, this study developed a research model which aims to examine the relationship between top management support and knowledge sharing, and the mediating role played by affiliation and trust.

A questionnaire survey was conducted in eight universities in Hong Kong. Data gathered from 109 professoriate staff (including chairs, professors and [research] associate/assistant professors) were used to test the four hypotheses in the research model with partial least squares structural equation modeling.

The results showed that top management support has a positive impact on affiliation and trust, and that affiliation and trust also have a positive impact on knowledge sharing. However, this study showed an insignificant linkage between top management support and knowledge sharing. Therefore, this study confirmed the mediating role played by affiliation and trust.

Based on the results, this study provided recommendations on how academic management and knowledge management consultants increase the faculty members’ affiliation and trust, for instance, mentoring, performance appraisal system, social interactions and communication pathways.

The findings of this study contribute to the literature in two ways. First, affiliation and trust are two interplayed elements of team climate that should be considered together. Second, this study validates affiliation and trust as a full mediator between top management support and knowledge sharing.