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The purpose of this paper is to present a comprehensive review on development and future trends in zinc oxide thin film transistors (ZnO TFTs). This paper presents the development of TFT technology starting from amorphous silicon, poly-Si to ZnO TFTs. This paper also discusses about transport and device modeling of ZnO TFT and provides a comparative analysis with other TFTs on the basis of performance parameters.

It highlights the need of high–k dielectrics for low leakage and low threshold voltage in ZnO TFTs. This paper also explains the effect of grain boundaries, trap densities and threshold voltage shift on the performance of ZnO TFT. Moreover, it also addresses the challenges like requirement of stable p-type ZnO semiconductor for various electronic applications and high value of ZnO mobility to meet growing demand of high-definition light emitting diode TV (HD-LED TV).

This review will motivate the readers to further investigate the conduction mechanism, best alternate for gate-dielectric and the deposition technique optimization for the enhancement of the performance of ZnO TFTs.

This is a literature review. The technological evolution of TFT in general and ZnO TFT in particular is presented in this paper.

An algorithm for stable transient solutions was developed for a non‐linear constitutive model for void growth and nucleation with elasto‐plastic deformation of plate structures under bending loads. The Gurson model was used for void growth and plastic deformation. The constitutive model was incorporated into a plate element which includes both transverse shear and normal deformations. Numerical examples were provided to test the algorithm and to show the effects of the transverse normal deformation and void on plastic strains in plate structures.

A computational technique was developed to model and simulate molecular or atomic behaviour of materials under static loads. Interatomic potential was used to maintain equilibrium among molecules or atoms under loads and constraints. In addition, a smeared continuum model was derived to represent a very large number of molecules or atoms collectively based on energy equivalency. The finite element method was applied to the smeared continuum model. Then, the molecular or atomic model was coupled with the finite element analysis model so that more flexible loads and constraints could be applied to the molecular or atomic model. In addition, such a coupling would be useful for transition from nanoscale to continuum scale. Some example problems were presented to illustrate the developed techniques. An example included a multi‐scale technique for woven fabric composites made of carbon nanotubes. The effective stiffnesses at different stages of the nano‐composites were computed.

The primary objective of this paper is to study the relationship between voluntary earnings disclosures and a combined set of corporate governance attributes in France. We use binary logit models to check our hypotheses. The results indicate significant negative associations between voluntary earnings disclosures and ownership concentration, and between voluntary earnings disclosures and a unitary leadership structure. The results also show that French firms providing voluntary earnings disclosures are more likely to have higher foreign institutional investor's ownership, and to offer stock option plans for their executives. These findings shed the light on the corporate governance features that enhance incentives for voluntary earnings disclosures and those affecting these incentives under high ownership concentration.

The authors investigate the manufacturer's choice of discount schemes in a supply chain with competing retailers.

Using a game-theoretic model, the authors build two discount frameworks and compare and analyze the effects of different discount schemes on the performance of supply chain members.

The authors find that the retail price (market demand) in the quantity discount scheme is always higher (lower) than that in the market share discount scheme. The authors also find that the retailers' preference for discount schemes is antithetical to the manufacturer's preference in most cases. However, under certain conditions, there will be a win-win situation where Pareto-optimization occurs between the manufacturer and retailers when they choose the same discount scheme.

On the one hand, the authors assume that the two retailers are symmetrical in market size and operation efficiency. It would be interesting to study the effect of different discount schemes on retailers when the retailers have different market sizes or operating efficiency. On the other hand, the authors study the manufacturer's choice of discount schemes in a supply chain with one common manufacturer and two competing retailers. However, in practice, there exist other supply chain structures. Future research can examine the problem of choices of discount schemes in other different supply chain structures.

This paper help retailers and manufacturers to choose the best discount schemes.

This paper suggests that a high discount scale is not always beneficial (detrimental) to retailers (the manufacture).

The authors build two discount schemes (the quantity and the market share) in a supply chain consisting of one manufacturer and two retailers, and the authors focus on the effects of different discount schemes on the competition between two retailers. By comparing the two discount schemes, the authors study which discount scheme is the better choice for the manufacturer when facing competing retailers.

This study explores the short- and medium-term effects generated by the Milan Expo 2015, adopting a microeconomic approach. The focus is on the hospitality sector. The study embraces nine years, identifying three intervals: pre- (2011–2014), during- (2015) and post-Expo (2016–2019). The time span does not include the Covid-19 pandemic period, which started in 2020. The dataset is composed of daily data. Three research questions are explored. First, an overall evaluation of the short- and medium-term effects is performed. Second, the seasonal effects are measured. Finally, the impacts for different classes of hotels are considered. The findings are supportive for the legacy generated by the Milan Expo. The results confirm the ability of the Milan Expo to strengthen the leisure segment. Positive results have been observed for all classes of hotels, relevantly augmenting the real revenue per available room (RevPAR). Luxury hotels achieved the highest increase of RevPAR, while economy class hotels registered the highest percentage of increase of RevPAR.

This study examines the impact of annual report disclosures on analysis' forecasts for a sample of firms listed on the Stock Exchange of Singapore (SES). We examine the relation between the level of corporate disclosure and accuracy of analysts' earnings forecasts, dispersion in analysts' earnings forecasts, and the size of analyst following. The results reveal that the level of annual report disclosures is positively related to the accuracy of earnings forecasts by analysts, provided there is no big earnings surprise, and is also positively related to analyst following. We also find that the level of corporate disclosure is negatively related to dispersion in analysts' earnings forecasts provided there is no big earnings surprise. Tints, this study shows that more corporate disclosures by Singapore firms lead to more accuracy and less dispersion in the earnings forecasts among analysts. Furthermore, greater corporate disclosure can also lead to greater analyst interest in the firm.

Mobile phone network third-generation (3G) and fourth-generation (4G) modes are the most commonly used modes in many developing countries. This study aims to assess the impact of these network modes and other mobile phone attributes on their retail prices in Pakistan, the fifth most populous and developing country.

This study has been conducted in Punjab province, which shares about 53% of the Pakistan’s population. Hedonic price analysis was carried out on all new mobile phone attributes sold in Punjab’s markets at the retail level. Various econometric tests, that is, Ramsey regression equation specification error, Breusch–Pagan/Cook–Weisberg and variance inflation factor, were calculated to check the robustness of the results.

Results of this study indicated that the mobile phone prices were significantly higher for the sets having 4G network mode than the 3G mode. In addition to this, other mobile phone attributes that significantly influenced their prices were brand, weight, camera, random access memory (RAM), memory size, operating system, battery capacity and display size.

This study has implications for mobile phone sales and marketing strategies of the manufacturers, importers, retailers and others involved in the mobile phone business in developing countries like Pakistan. Mobile phone manufacturers/importers can increase their profits by producing/importing the 4G enabled devices.

Although many studies in the literature estimated the implicit price of mobile phone attributes, none of these had explicitly assessed the impact of network mode generation of mobile phones on their prices.

This paper gives a review of the finite element techniques (FE) applied in the analysis and design of machine elements; bolts and screws, belts and chains, springs and dampers, brakes, gears, bearings, gaskets and seals are handled. The range of applications of finite elements on these subjects is extremely wide and cannot be presented in a single paper; therefore the aim of this paper is to give FE researchers/users only an encyclopaedic view of the different possibilities that exist today in the various fields mentioned above. An Appendix included at the end of the paper presents a bibliography on finite element applications in the analysis/design of machine elements for 1977‐1997.

While the economic benefits of the exhibition industry for the hotel sector have been addressed, the impact of exhibitions on individual hotels is unknown, especially when individual hotels’ star classification and locations are considered. This study aims to provide a better understanding of how room rates of different hotels change during different stages of the Canton Fair in China from a spatial-temporal perspective.

Room rates of 681 star-hotels within the city of Guangzhou before, during and after the Fair were extracted from websites. Through spatial interpolation and autocorrelation analysis and geographical detector (GeoDetector) technique, spatial and temporal patterns of hotel room rates and the interdependence between the convention center and the hotels with different star classification and locations were examined.

An inverse-U shape of room rate change was identified before, during and after the Fair, and the five-star hotels had the sharpest increase. Moreover, the distribution of hotel room rates followed the law of distance decay. The variation of hotel rates became larger when the distance to the convention center was larger. Spatial high-high clusters varied among hotels with different star classification.

This study contributed to the hotel literature by providing empirical evidence regarding how hotels with different star classification and locations were affected by events. This study also advanced the event literature by introducing GeoDetector. The findings of this study offered insights into the hotel location selection, pricing strategies and hotel collaboration with events.

虽然展览业对酒店业的经济效益已经得到解决, 但展览对单个酒店的影响尚不清楚, 尤其是在考虑单个酒店的星级和位置时。本研究旨在从时空角度更好地了解中国广交会不同阶段不同酒店的房价变化情况。

网站提取了广交会前、中、后广州市内681家星级酒店的房价。通过空间插值和自相关分析以及地理探测器（GeoDetector）技术, 研究了酒店房价的时空格局以及会议中心与不同星级和位置的酒店之间的相互依赖关系。

会前、会中、会后房价变化呈倒U型, 其中五星级酒店涨幅最大。此外, 酒店房价的分布遵循距离衰减规律。到会展中心的距离越远, 酒店价格的变化就越大。不同星级酒店的空间高-高集群存在差异。

该研究通过提供关于不同星级和位置的酒店如何受到事件影响的经验证据, 为酒店文献做出了贡献。这项研究还通过引入 GeoDetector 推进了事件文献。研究结果为酒店选址、定价策略和酒店与活动的合作提供了见解。