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Rapid tooling has numerous advantages when prototyping injection molded components, but the effects of the tooling on the resulting part properties are often overlooked. The purpose of this paper is to consider the effect of tooling on the final part properties and morphology.

Digital polyacrylonitrile-butadiene-styrene (ABS) tooling and aluminum tooling were used to mold test specimens from isotatic polypropylene (iPP). Tensile behavior, impact strength, shrinkage, surface roughness and porosity were evaluated for both sets of samples. Additionally, differential scanning calorimeter (DSC) and wide-angle X-ray scattering (WAXS) were used to assess the crystallinity of the samples.

Characterization of the molded parts showed that slower cooling rates in the Digital ABS inserts promoted the formation of ß-PP, while this crystal structure was not found in the parts molded using aluminum tooling. Additionally, parts molded on the digital ABS inserts exhibited higher mold shrinkage and SEM images identified microscopic shrinkage voids within the material. The change in morphology and the presence of voids significantly affected the tensile behavior with the parts molded in Digital ABS, which broke with little cold drawing and exhibited higher tensile moduli and higher yield strengths.

The results show that the choice of rapid tooling technique plays an important role on determining the properties of the final parts.

Previous studies have not characterized the effect of rapid tooling on the morphology of the molded articles fully or over a variety of processing conditions. This study builds on prior work by using both WAXS and DSC to characterize morphological changes over a wide range of processing conditions and comparing results to mechanical property and shrinkage data.

The purpose of this study is to understand the situation of hotels and tourism industry in Malaysia during and in post Covid-19 and to mitigate indirect damage caused by COVID-19 to the hotel business and tourism industry by examining the factors that have an influence on hotel’s customer satisfaction rating and revisit intention through an integration of service quality (SERVQUAL) framework and expectation-confirmation theory (ECT).

The SERVQUAL and ECT were considered the underpinning theoretical models but are integrated and extended by including a few additional variables. Data were collected from 458 respondents of travelers and hotel customers in Malaysia and analysed by applying partial least squares structural equation model technique.

The empirical results established that significant positive relationships exist between the three newly emerged independent variables (IVs), namely, hygienic practice, greenness of service and digitalization and hotel customer satisfaction towards hotel revisit intention, and only two variables from SERVQUAL, namely, reliability and assurance, have a significant relationship with hotel customer satisfaction towards hotel revisit intention. The results reveal that customer satisfaction has significant direct effect between above-mentioned IVs and customers revisit intention.

The use of purposeful sampling method in only one country might limit the generalizability of the results. Future research should be planned to duplicate the current study using a sizable sample of participants from multiple countries and include other related factors related to the pandemic phenomena such as safety, hotel location and health value offered.

Theoretical findings imply that service quality is a dynamic theory that should be examined continuously to achieve sustainable and resilient performance in today’s competitive business environment, as some modifications inevitably occur over time and new factors could be emerged. Regarding practical implications, study findings proved the great significance of assurance, reliability, digitalization, greenness and hygienic practices on customer satisfaction towards intention to revisit to hotel. Therefore, it is critical for hotel management to retain hotel business industry in a way that fits and matches customer’s health protection, meets customer’s newly prompted expectations and needs and ensures resilience during unsettled times.

This study is unique as the newly emerged variables are included in the research framework, and thus it helps to close the literature gap by introducing an integrated SERVQUAL and ECT theoretical model, which rarely performs in this context and can be replicated or extended with validated scales. This study contributes to enhancing hotel and tourism sustainable service quality performance to achieve myriad economic and health values.

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.

The study adopted a conceptualized technological, organizational and environmental (TOE) model to empirically investigate the factors affecting hotel managers’ attitudes toward intelligent agent technology (IAT) adoption in the hotel food supply chain management (HFSCM) and their intentions for future adoption.

In-person survey was carried out in luxury hotels in Florida.

The findings indicated that merely 5.7 per cent of hotels are fully implementing IAT. Perceived benefits, reliability, quality of human resources, information intensity and market capabilities had a statistically significant positive impact on hotel managers’ attitudes. However, complexity and cost had a negative influence on hotel managers’ attitudes toward IAT adoption in the HFSCM. Managers’ attitude further positively influences their intention to adopt.

The validated model helps guide hotel decision makers who are considering IAT adoption in the HFSCM. Hotels that are seeking sources for competitive advantages would better consider the TOE factors in IAT adoption prior to making a decision.

This is the first study that examined IAT adoption in the hotel industry from a theoretical and empirical perspective. The validated model proposed for the adoption of IAT in HFSCM enriched the TOE model and the diffusion of innovations theory.

本论文借用科技、组织、环境（TOE）模型, 实践检验了其酒店经理在HFSCM中对智能代理科技（IAT）的使用和未来使用意向。

采样地点在佛罗里达州的高级酒店, 采用面对面问卷的方式取样。

研究结果表明, 只有百分之 5.7 的酒店全面采用 IAT。感知好处 可依赖性 人力资源的质量 信息密度 市场能力等对酒店经理的态度有积极显著效果。然而, 复杂性和成本对酒店经理在HFSCM上采用IAT有负面影响。经理态度对使用意图有进一步积极影响。

本论文验证的模型对酒店决策者评估 IAT 在 HFSCM 方面的使用有着参考作用, 为了竞争优势, 酒店决策者应该考虑在决策前先考虑IAT使用的 TOE 因素。

本论文是首篇结合理论与实践, 在酒店行业检验对 IAT 使用的文章。在 HFSCM 中IAT使用的验证模型对 TOE 模型和 DOI 理论有显著意义。

酒店食品供应链管理 智能代理科技 IAT 使用 TOE 模型 酒店科技

This study aims to empirically examine accounting information system (AIS) success at the organizational level during COVID-19 era.

Based on the information system success model, this paper developed its model and proposed a total of nine hypotheses. This paper gathered the required data via a questionnaire from Yemeni small and medium enterprises (SMEs) owners and managers. To test the proposed research model paths, SmartPLS software, which is known as partial least squares structural equation modeling, was used.

The results showed that the quality dimensions (information quality and system quality) positively affected the use of AIS and satisfaction; user satisfaction positively affected the use of AIS. Management support positively affected the AIS users' usage and satisfaction. Finally, the use dimensions (user satisfaction and usage) positively impacted the net benefits in terms of gaining a competitive advantage, productivity enhancement and saving time and cost. In all, this research has succeeded in providing support for DeLone and McLean's IS success model at the organizational level during the COVID-19 era.

AIS is becoming increasingly important for SMEs in low-income countries like Yemen, particularly in the present pandemic conditions (COVID-19 era). By using AIS, users can access the enterprise's data and conduct transactions without being limited by distance. Indeed, AIS proved its ability in enhancing the net benefits at the organizational level in the COVID-19 era in terms of gaining a competitive advantage, productivity enhancement and saving time and cost. However, AIS can only be considered useful to the enterprise if it is effective/successful.

This study is one of the first to have assessed the impact of AIS success at the organizational level in the era of COVID-19 pandemic, the context of Yemeni SMEs.

This paper aims to propose an approach to automatically annotate a large corpus in Arabic dialect. This corpus is used in order to analyse sentiments of Arabic users on social medias. It focuses on the Algerian dialect, which is a sub-dialect of Maghrebi Arabic. Although Algerian is spoken by roughly 40 million speakers, few studies address the automated processing in general and the sentiment analysis in specific for Algerian.

The approach is based on the construction and use of a sentiment lexicon to automatically annotate a large corpus of Algerian text that is extracted from Facebook. Using this approach allow to significantly increase the size of the training corpus without calling the manual annotation. The annotated corpus is then vectorized using document embedding (doc2vec), which is an extension of word embeddings (word2vec). For sentiments classification, the authors used different classifiers such as support vector machines (SVM), Naive Bayes (NB) and logistic regression (LR).

The results suggest that NB and SVM classifiers generally led to the best results and MLP generally had the worst results. Further, the threshold that the authors use in selecting messages for the training set had a noticeable impact on recall and precision, with a threshold of 0.6 producing the best results. Using PV-DBOW led to slightly higher results than using PV-DM. Combining PV-DBOW and PV-DM representations led to slightly lower results than using PV-DBOW alone. The best results were obtained by the NB classifier with F1 up to 86.9 per cent.

The principal originality of this paper is to determine the right parameters for automatically annotating an Algerian dialect corpus. This annotation is based on a sentiment lexicon that was also constructed automatically.

In both developed and developing countries, the COVID-19 pandemic has created a new generation of first-time online shoppers. More significantly, academics and practitioners believe that the shift to online shopping will continue in the years to come. Therefore, the purpose of this study was to examine the role of digital marketing tools as a moderator variable between the independent variables (i.e. consumption patterns, lifestyle, level of income, and payment methods) and dependent variable (i.e. the consumer's attitude towards online shopping) during the COVID-19 pandemic time in Arab countries.

A structured and self-administered online survey has targeted online shopping users in six different Arab countries based on a snowball and convenience sample. In total, 577 useable questionnaires were analyzed.

The findings show a significant positive relationship between the independent variables (i.e. consumption patterns, lifestyle, level of income, and payment methods) and the dependent variable (i.e. consumer attitude towards online shopping). Furthermore, the results reveal that the positive relationship between the independent and dependent variables is strengthened by the existence of the moderator variable, the digital marketing tools.

This study was based on cross-sectional data collection, rather than a longitudinal study and collected data from six Arab countries. It is suggested that future research should expand the survey in more similar countries to broaden the database for further generalizations and use a longitudinal approach to better assess changes in attitudes over time. In addition, this study focused on the issue from a consumer's viewpoint, so it is recommended that future research could be conducted, but from the viewpoint of marketing managers.

This study represents a further deeper insight into consumer behaviour; it advocates giving more emphasis on organizations' awareness of their customers' consumption pattern, lifestyle, level of income, and payment method. The findings of this study can help managers and marketers to design a promotional mix to improve consumer's behaviour towards online shopping. The results suggest paying more attention to the high relevant effect of the consumption pattern, lifestyle, level of income, and payment method on the consumer attitude towards online shopping.

This paper is one of the few attempts that investigated consumer attitudes toward online shopping in the Arab world. Importantly, it identified the drivers of online shoppers' attitudes in the Arab world. This may be used to develop and implement e-marketing strategies. Furthermore, this paper examines the role of digital marketing as a moderator variable to provide empirical evidence to the body of knowledge of these drivers during the COVID-19 pandemic time in the Arab countries.

The present study aims to encompass the bidirectional magnetized flowing of a hybrid-nanofluid over an unsteady stretching device with the inclusion of thermal radiation and entropy generation. Brick-shaped nanoparticles (zinc-oxide and ceria) are suspended in water, serving as the base-fluid to observe the performance of the hybrid mixture. The Maxwell thermal conductivity relation is employed to link the thermophysical attributes of the hybrid mixture with the host liquid. Additionally, a heat source/sink term is incorporated in the energy balance to enhance the impact of the investigation. Both prescribed-surface-temperature (PST) and prescribed-heat-flux (PHF) conditions are applied to inspect the thermal performance of the hybrid nanofluid.

The transport equations in Cartesian configuration are transformed into ordinary differential equations (ODEs), and an efficient method, namely the Keller-Box method (KBM), is utilized to solve the transformed system. Postprocessing is conducted to visually represent the velocity profile, thermal distribution, skin-friction coefficients, Bejan number, Nusselt number and entropy generation function against the variations of the involved parameters.

It is observed that more entropy is generated due to the increases in temperature difference and radiation parameters. The Bejan number initially declines but then improves with higher estimations of unsteadiness and Hartmann number. Overall, the thermal performance of the system is developed for the PST scenario than the PHF scenario for different estimations of the involved constraints.

To the best of the authors' knowledge, no investigation has been reported yet that explains the bidirectional flow of a CeO2-ZnO/water hybrid nanofluid with the combined effects of prescribed thermal aspects (PST and PHF) and entropy generation.

This study aims to explain the emergence and development of the concept of “Policy Networks” as a unit of analysis in the realm of public policies and their role in formulating a comprehensive policy for health insurance. The developments that took place over the past few decades had impacted a shift in the state’s role in shaping public policies, from a sole, key actor to one among other actors, both governmental and non-governmental, working interdependently through a set of networks.

The present study adopts the social network analysis as an approach and the social policy network as a tool to analyze public policymaking. The approach suggests the presence of a number of actors and interest groups that are actively involved in public policy and decision-making. These groups may vary from a cause to another and also from time to time. This research investigates and juxtaposes a selected sample of members of the health insurance policy network in Egypt.

In light of the study findings, one can see the existence of a policy network for the comprehensive health insurance system in Egypt. The study reveals the interrelations among a number of official and non-official key actors. The network has gone through several phases; the pre-establishment phase during the early stages of policymaking; the official establishment phase during the formative stage; and finally, the network operation phase during the implementation stage. The study also concludes that the policy network has influenced the different stages of policymaking through several tools and strategies. Moreover, the roles of different actors varied within the network; international organizations were the primary influencer in the early stages of policymaking; syndicates dominated the formative stage; and the public sector played the leading role in the implementation stage.

Serious attempts were made to benefit from policy networks with a particular focus on using the strengths of each actor while establishing an official institutional framework that consolidates coordination and cooperation among the involved parties. This framework should keep pace with global changes and developments. It should also have an official meeting venue. Above all, all parties should be listened to and their demands should be considered seriously as long as they are not actualized at the expense of the public interest nor do they undermine the sovereignty of the state. The study also enhances researchers to use policy networking as a unit for analyzing public policy and their effect on these policies.

Public policymaking in Egypt can become more responsive to people’s demands and more democratic once it was made through informative and interactive policy network. This pattern of policymaking will enhance both efficient and responsive.

Practical Implications: public policy making in Egypt can become more responsive to people demands and more democratic once it was made through informative and interactive policy network. This pattern of policymaking will enhance both efficient and responsive.

In addition to its practical contributions to the field of policymaking, this research fills a gap in the literature on the theoretical level.