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Choosing suitable high‐K gate dielectrics to reduce the off‐state leakage (I_off) by edge direct tunneling mechanism, demonstrating that the decreased I_off increase significantly when the gate dielectrics permittivity are above 25. The purpose of this paper is to report that HfSiON and HfLaO are promising gate dielectrics.

The off‐state gate current, drain current, and substrate current are investigated. The I_d‐V_gs characteristics for the 50 and 90 nm NMOSFET with various gate dielectrics are studied. Edge direct tunneling current (I_EDT) with various gate dielectrics including SiO₂, Si₃N₄ and HfO₂ are compared and this paper also examines the I_EDT with HfSiON and HfLaO gate dielectrics.

I_EDT prevails over conventional gate‐induced drain‐leakage current (I_GIDL), subthreshold leakage current (I_SUB), band‐to‐band tunneling current (I_BTBT) and it dominates off‐state leakage current. A large increase in off‐state leakage current occurs for smaller devices due to increase in I_EDT at high V_dd. Although I_EDT is decreased with increase in gate dielectrics permittivity K. The authors found fringing induced barrier lowering (FIBL) which could introduce significant off‐state leakage current for K>25. Fortunately, the I_EDT with HfSiON and HfLaO gate dielectrics which are two‐five orders of magnitude lower than that of SiO₂, furthermore, FIBL for HfSiON and HfLaO gate dielectrics are inconspicuous. Moreover, HfLaO and HfSiON have superior electrical performance and thermal stability.

Both edge direct tunneling and FIBL are considered to alternate high‐K gate dielectrics for nano‐scale MOSFET.

This paper examines the clustering of return volatility within industries by comparing the short‐run responses of stock returns to the arrival of macroeconomic news across several industries. We hypothesize that some industries have distinctive qualities which influence the sensitivity of companies’ equity value to information releases. To test this hypothesis, we sample intraday stock price data of ten firms from three industries ‐ General Industry, Banking, and Real Estate Trusts ‐ and conduct the Brown‐Forsythe‐Modified Levene tests. The evidence shows that there exist different degrees of responses to the release of macroeconomic news and consequently different degrees of return volatility clustering: strongest in General Industry, less strong in Banking, and weak in Real Estate Investment Trusts.

The purpose of this paper is to examine the process of consumer satisfaction formation for e-commerce. The study also predicts that the satisfaction formation model of e-commerce will differ between the US and Korean consumers due to differences in cultural background.

The study integrates the expectation disconfirmation theory (EDT) and the technology acceptance model (TAM). The hypotheses are examined by analyzing a structural equation model for consumers in the USA and Korea.

The results show that the model demonstrates good fit for both groups. For consumers in both countries, when purchasing fashion products on a new e-commerce site, the performance of the site’s usefulness was found to be a crucial variable in their satisfaction and intention to use the site. While there was no significant difference in the multiple group measurement model invariance test, the findings are meaningful because the slight differences in the standard coefficients of the two groups are considered.

It is meaningful to apply EDT and the TAM to the daily deal site environment. The influence of related variables can be reconfirmed and new consumer behaviors can be better understood. The research provides fresh insights into consumer behavior that can benefit managers when they make decisions in the e-commerce field.

The purpose of this paper is to investigate the relationship between total productive maintenance (TPM) practices and operational performance (OP) in soft drinks manufacturing industry, Ethiopia.

In this study acceptability and implementation of five TPM practices (i.e., dependent factors: autonomous maintenance (AUT); safety, health and environment (SHE); education and training (EDT); focused improvement; and planned maintenance (PLM)) in soft drinks manufacturing industry have been elaborated to ascertain the benefits accrued as a result of successful TPM practices (i.e., independent variables) on OP (i.e., dependent variables). A self-administered survey seven-point Likert scale questionnaire was used for primary data collection. By using simple random sampling technique a total of 100 useable responses resulted in a 66.66 per cent response rate. Descriptive (mean, standard deviation) and inferential statistics (factor analysis, correlation, simple and multiple regression analysis) analysis were performed using Statistical Package for Social Sciences (SPSS) software (version-28) to identify the relationship and effect of TPM practices on OP. Five hypotheses were developed and tested.

Results show that four of the TPM practices were positively and significantly correlated with OP. Aggregate TPM shows positive and significant correlation with OP. Four hypotheses results revealed that the AUT; SHE; EDT and PLM practices have positive and significant relationship with OP and significantly improve OP. The results also show that the TPM practices have positive and significant relationship with OP and significantly improve cost effectiveness, product quality, on-time delivery and volume flexibility.

The benefits gained by TPM practices in selected soft drinks manufacturing industry have been highlighted, that could be genuine source of motivation to other companies to go in for TPM program. This research contributes to the literature by examining the contingency of various TPM enabling factors in the context of the Ethiopian soft drinks manufacturing sector, and it, therefore, provides direction to increase the success rate of TPM implementation. Study offers academics and practitioners a better understanding of the relationship and effect of the TPM practices on the OPs. Thus, practitioners will be able to make better and more effective decisions about the implementation of TPM practices for better OP results.

The relationship between the five factors TPM practices and OP has not yet been studied or reported in the case of soft drink manufacturing industry. The questionnaire manner and items developed, factor considered in this study, sampling method, deeply statistical data analysis techniques used, soft drink manufacturing industry, developing country like Ethiopia make this study unique and revealed the gap identification in this area. The study has contributed to the TPM literature with a better understanding of the five TPM practices and their association with a soft drink manufacturing industry OP that will provide valuable knowledge to top-management of manufacturing companies, to refine their current TPM practices and subsequently improve OP.

The purpose of this study is to integrate expectancy disconfirmation theory (EDT) to explore cognitive beliefs and affect influencing an individual's intention to repurchase in online marketplaces.

The paper used EDT to conduct an empirical study and data were collected from a total of 303 bidders of online auctions. A structural equation modeling (SEM) was used to assess the relationships of the research model.

The findings show that bidders' disconfirmation of online auctions is positively associated with their satisfaction, which in turn is positively associated with their repurchase intentions.

Both bidders' expectation of policy and auctioneers' performance of policy are important determinants of disconfirmation. Auctioneers need to recognize the distinctive roles of information policy in selling and bidding rules. Besides, neither bidders' expectation of sellers' reputation nor their expectation of service quality has a significant relationship with disconfirmation. This finding implies that in a mature e‐commerce environment bidders pay more attention to the sellers' performance than their prior expectation.

This study, which aims to shed light on bidder behavior in online auctions, is the first study that has applied an EDT‐based model to investigate the determinants of repurchase intention in online auctions.

The purpose of this paper is to know the institutions who are developing electronic theses and dissertations (ETDs) in India, and to compare the ETDs in India based on a predetermined parameter.

The methodology used for this research paper was a descriptive method. The institutional web sites were browsed and searched to collect the data. A relevant literature review was also carried out to describe the current status and other relevant information.

Institutional repositories are a concept gaining movement today. India is moving ahead in this direction and major education and research institutes have already created their own institutional repositories. In analysis and findings, a detailed report of the analysis of data collection and its subsequent interpretations are given.

If anybody would like to develop ETDs they can this overview of all the previous developed ETDs in India. It will be helpful for planning, developing and implementing new ETDs.

This type of research study has not made till now. It is very important to study current and different types of ETD projects in India and its status. The study of special subject repositories is important for the students, scholars and researchers as well as for the LIS professionals.

The aim of this research is to define a data model of theses and dissertations that enables data exchange with CERIF‐compatible CRIS systems and data exchange according to OAI‐PMH protocol in different metadata formats (Dublin Core, EDT‐MS, etc.).

Various systems that contain metadata about theses and dissertations are analyzed. There are different standards and protocols that enable the interoperability of those systems: CERIF standard, AOI‐PMH protocol, etc. A physical data model that enables interoperability with almost all of those systems is created using the PowerDesigner CASE tool.

A set of metadata about theses and dissertations that contain all the metadata required by CERIF data model, Dublin Core format, EDT‐MS format and all the metadata prescribed by the University of Novi Sad is defined. Defined metadata can be stored in the CERIF‐compatible data model based on the MARC21 format.

CRIS‐UNS is a CRIS which has been developed at the University of Novi Sad since 2008. The system is based on the proposed data model, which enables the system's interoperability with other CERIF‐compatible CRIS systems. Also, the system based on the proposed model can become a member of NDLTD.

A system based on the proposed model increases the availability of theses and dissertations, and thus encourages the development of the knowledge‐based society.

A data model of theses and dissertations that enables interoperability with CERIF‐compatible CRIS systems is proposed. A software system based on the proposed model could become a member of NDLTD and exchange metadata with institutional repositories. The proposed model increases the availability of theses and dissertations.

The extended Delaunay tessellation (EDT) is presented in this paper as the unique partition of a node set into polyhedral regions defined by nodes lying on the nearby Voronoï spheres. Until recently, all the FEM mesh generators were limited to the generation of tetrahedral or hexahedral elements (or triangular and quadrangular in 2D problems). The reason for this limitation was the lack of any acceptable shape function to be used in other kind of geometrical elements. Nowadays, there are several acceptable shape functions for a very large class of polyhedra. These new shape functions, together with the EDT, gives an optimal combination and a powerful tool to solve a large variety of physical problems by numerical methods. The domain partition into polyhedra presented here does not introduce any new node nor change any node position. This makes this process suitable for Lagrangian problems and meshless methods in which only the connectivity information is used and there is no need for any expensive smoothing process.

The authors’ contribution to the literature involves using expectation disconfirmation theory (EDT) to examine the impact of expectations on outsourcing success. This study hypothesizes that perceptions of outsourcing success are contingent on disconfirmation between clients’ expectations and the perceived performance of fundamental issues related to the outsourcing relationship.

To test the hypothesis, this study surveyed chief information officers, vice presidents and senior information systems managers to determine their perceptions of vendors. This study analyzed the data using structural equation modeling.

The findings demonstrate that the existing outsourcing success factors are more precisely depicted as multidimensional success factors that predict managerial perceptions of outsourcing success. This study uses a novel perspective to identify the multidimensional nature of the outsourcing success factors that might have remained latent without further analysis.

Using EDT, this study extends the understanding of outsourcing success as not merely composed of unidimensional factors but as a collection of multidimensional outsourcing success factors. This research demonstrates that not only do these success factors predict outsourcing success, but they can also be grouped together to provide a diversified, yet parsimonious view of how expectations relating to certain success factors influence a client’s perception of outsourcing success.

As researchers are being called to examine the evolving technology research issues for COVID-19 and other pandemics, remote work has been accelerated and represents the future of work. Although it is known that one of the top forces shaping the future of work is changing employee expectations, the knowledge of remote work during a pandemic remains scant. Thus, this paper aims to determine the impact of remote worker’s expectations on their level of satisfaction and intention to continue to work remotely.

Using one of the prominent theories on expectations, Expectation Disconfirmation Theory (EDT), the authors conduct an online survey of 146 individuals who are currently working remotely.

By applying EDT, the findings demonstrate that an individual’s expectations regarding remote work impact their level of satisfaction with remote work and intention to continue to work remotely. Incorporating extant research, the findings extend the research stream to indicate that employees’ expectations about remote work significantly impact both their level of satisfaction and level of productivity.

The discussion elucidates the significance of understanding employee expectations regarding remote work in the evolving new normal. The findings from the study demonstrate the importance of an individual’s expectations regarding remote work on their level of satisfaction with remote work and intention to continue to work remotely. Thus, this study fills a gap in the literature by applying EDT to the remote work context.