Search results

To increase protection level against transient faults, circuit designers usually take advantage of redundant structures like Triple Modular Redundancy (TMR). Since redundancy compel a significant power overhead, proposing a low power fault tolerant technique in digital circuits is the main objective of this research work.

In order to moderate power consumption, we use a dual to triple modular redundancy. In fact, we put one of the modules in a TMR system in sleep mode while the other two operating modules are producing the same outputs. Once a mismatch is detected, the third one exits the sleep mode and the dual modular redundancy (DMR) approach turns into a conventional TMR. Also a novel stoppable clock generator is proposed to handle the sleep mode of the third module. Finally, a new three-input majority voter, compatible with our proposed technique, is presented.

Power analysis of combinational circuit benchmarks, ISCAS85, and ISCAS89 as sequential circuit benchmarks are depicted. Simulation results show the power reduction of up to 30% in comparison with the conventional modular redundancy approach.

Since modular redundancy is the most effective and the most well-known fault tolerant approach which is widely used in reliable circuits designs, it is important to reduce its power consumption. In this paper configuring the sleep mode operation of a circuit and stoppable clock generator lead to a new TMR technique in which the power consumption is strongly reduced.

The purpose of this paper is to determine the second victims’ experience and its related factors among medical staff.

This research is a cross-sectional study that was conducted in public hospitals of Sanandaj, west of Iran, in 2017. The sample consisted of 338 medical staff including physicians, nurses and mid-wives. A self-report questionnaire was used for data collection. Descriptive statistics, cross-tabs and χ² test were used for data analysis using SPSS20.

A total of 51.5 percent (n=174) of the medical staff had experienced medical error in the past year, of which 90.2 percent (n=157) had at least one of the symptoms of “second victims.” Tachycardia and sleep disturbances were the most commonly referred physical symptoms with 73 and 51.7 percent, respectively. Also, repetitive/intrusive memories and fear of reputation damage were the most commonly referred psychosocial symptoms with 68.3 and 51.7 percent, respectively. The experience of physical and psychosocial symptoms was different according to the occupational category. In addition, there was a significant association between the experience of physical symptoms with the hospital administrators’ awareness of medical errors and the consequences of medical errors for patients.

Adoption of coping strategies, including learning from medical errors as well as hospital administrators’ support from second victims, is recommended. It is also suggested that medical staff be informed about the consequences of medical errors as well as physical and psychological symptoms of second victims so that they can ask for help from managers and colleagues when the symptoms occur.

This study outlines the prevalence, the most psychological and physical symptoms, and the demographic and occupational factors associated with the second victim phenomenon in medical staff. Also, the most important strategies for coping with this phenomenon are prioritized from the perspective of medical staff.

The concept of e-learning is essential in employee education since it provides different ways to develop employees' knowledge, skills and attitudes using modern technologies. E-learning has been overgrowing in employee education because learning can be held anytime and anywhere. In order to succeed in implementing e-learning and benefiting from its capacities, and avoiding potential threats in the country, it is necessary to address the factors affecting its success. This paper aims to test the role of internet of Things (IoT)-based systems, cloud-based services, virtual classes, evaluation tools, attitude, content management and creativity on the success of employees' e-learning programs based on a framework.

E-learning systems receive ever-increasing attention in academia, business and public administration. With the development of e-learning, employee education has also benefited from its capacities in various fields. To succeed in implementing e-learning and benefiting from its capacities, and avoiding potential threats in the country, it is necessary to address its success. The proposing of Information and Communications Technology (ICT)-based technologies such as the IoT, cloud, etc., in e-learning, can help transform education. Therefore, this paper aims to test the role of IoT-based systems, cloud-based services, virtual classes, evaluation tools, attitude, content management and creativity on the success of employees' e-learning programs based on a framework. The research model and the data collected from the questionnaires have been analyzed via Smart PLS 3.2. This study has utilized the SEM to evaluate the causal model's reliability and validity based on measurement. According to the literature in this study, a framework has been proposed that examines the impact of IoT-based systems, cloud-based services, virtual classes, evaluation tools, attitude, content management and creativity on employees' learning programs' success.

The results have shown that IoT-based systems, cloud-based services, virtual classes and evaluation tools are four significant factors affecting attitude, content management and creativity. The results have also shown that attitude, content management and creativity are three significant factors affecting employees' learning programs' success. The factors above are considered critical in explaining the success of employees' e-learning programs, but, as far as we know, there has been no study in which all these factors were demonstrated together.

From a practical viewpoint, the statistical outcomes support the important role of the following factors: IoT-based systems, cloud-based services, virtual classes, evaluation tools, attitude, content management and creativity. Henceforth, aspects relating to these factors got the attention of any organization to develop e-learning processes.

This research will contribute to the literature related to employees' e-learning programs' success by integrating all the mentioned variables. As far as we know, it is the first study to test these variables in Iran.

The purpose of this study is to investigate the concept of knowledge management (KM) readiness using intention to be involved in the KM processes concept. These processes comprised of socialisation, externalisation, combination, and internalisation (SECI processes). The research also attempts to measure and validate the concept using data collected from the Sri Lankan telecommunication industry.

Based on the established KM SECI process measures adopted and adapted, instruments were administered using a survey research methodology approach on 313 executives working in the selected organizations in the Sri Lankan telecommunication industry. A confirmatory factor analysis technique was performed to verify and validate the measurement model of the intention to be involved in KM processes model. Based on the revised measurement model, the level of intention to be involved in the KM SECI processes within the industry was then reported.

The research finding provides the revised measurement model for employees' intention to be involved in KM SECI processes. All four variables of the intention to be involved in KM SECI processes emerged as significant and reliable measures for KM readiness. The finding also indicates the positive level of intention among the employees in the Sri Lankan telecommunication industry to be involved in KM processes.

The research provides a unique perspective of KM readiness, which is not much covered in the KM literature. The measurement produced can be used as a research tool for more exploratory and explanatory research in KM and, as an evaluative tool for employee readiness in ensuring the success of KM initiatives in organizations. The confirmed and validated set of measurement items can be used to measure the extent to which employees are ready to be involved with KM processes. Through the validated tool, more research can be conducted to explore the antecedents of such readiness perception.

This paper aims to investigate if perceived security, trust and perceived privacy affect both perceived usefulness and perceived ease of use. Also, the study explores if trust, perceived usefulness and perceived ease of use influence consumers’ intentions to use the e-payment system which is supported by testing the moderation effect of gender on the intention to use such systems in the higher education institutes.

In total, 850 participants from United Arab Emirates (UAE) universities have filled an online questionnaire prepared for these aims. The survey instrument is composed of 22 items. The primary data was used to test the study model, proposed constructs and the study hypotheses using the Smart PLS Software.

The research confirmed that perceived security, trust and perceived privacy affect both perceived usefulness and perceived ease of use. Also, the study found that trust, perceived usefulness and perceived ease of use have anticipated the significance of consumers’ intention to use e-payment system which is found also moderated by gender. Research outcomes indicated an important contribution towards the acceptance of e-payment systems and the common design of e-commerce systems.

Research outcomes have indicated an important contribution toward the acceptance of e-payment systems and the common design of e-commerce systems. Additionally, this study helped in increasing the reader’s understanding of various aspects of e-commerce, specifically consumers’ trust and privacy protection which consequently allows the online sellers to formulate appropriate strategies and actions imperative to serve the online purchasers and target the internet users.

The purpose of this paper is to investigate the usage, captures, mentions, social media and citations of highly cited papers of Library and information science (LIS).

This study is quantitative research that was conducted using scientometrics and altmetrics indicators. The research sample consists of LIS classic papers. The papers contain highly cited papers of LIS that are introduced by Google Scholar. The research data have been gathered from Google Scholar, Scopus and Plum Analytics Categories. The data analysis has been done by Excel and SPSS applications.

The data indicate that among the highly cited articles of LIS, the highest score regarding the usage, captures, mentions and social media and the most abundance of citations belong to “Citation advantage of open access articles” and “Usage patterns of collaborative tagging systems.” Based on the results of Spearman statistical tests, there is a positive significant correlation between Google Scholar Citations and all studied indicators. However, only the correlation between Google Scholar Citations with capture metrics (p-value = 0.047) and citation metrics (p-value = 0.0001) was statistically significant.

Altmetrics indicators can be used as complement traditional indicators of Scientometrics to study the impact of papers. Therefore, the Altmetrics knowledge of LIS researchers and experts and practicing new studies in this field will be very important.

This study aims to investigate value co-creation, its antecedents (i.e. customer delight and place identity) and the consequences (i.e. satisfaction and revisit intention) at eco-hotels concerning sustainable practices.

Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the data collected from 562 guests surveyed online who had stayed and contributed to sustainable practices through interaction and collaboration with eco-hotels.

The results revealed that customer delight and place identity are critical antecedents of value co-creation, significantly influencing guests' intention to revisit. Further, value co-creation significantly influences satisfaction and revisits intention. Satisfaction significantly influenced revisit intentions. Moreover, customer delight was the most critical factor affecting value co-creation, followed by the path between value co-creation and satisfaction. Finally, the results confirmed the mediating role of value co-creation and satisfaction.

This research can support hotel managers in comprehending the motivating factors and outcomes of value co-creation among guests, allowing efficient hotel strategies to be planned and implemented. Managers should prioritize customer delight and place identity to maintain guests' involvement in value co-creation, resulting in satisfaction and a willingness to return.

This study contributes to the literature by tackling the scarcity of research on the significance of value co-creation, its drivers and outcomes at eco-hotels concerning sustainable practices within an emerging market context.

Because the success of m-payment services depends on the enablers and barriers that affect user satisfaction, the present research explores the effects of perceived value and sacrifices on users' satisfaction with m-payment services. The predicted relationships among perceived value, perceived sacrifices, users' satisfaction, continuance intention, word-of-mouth (WOM), shopping effectiveness, quality of life (QOL) and stickiness were established based on the mobile technology acceptance model (MTAM) and the value-based adoption model (VAM).

A representative data sample of 430 Egyptian banking clients was analyzed to test the hypotheses using partial least squares-structural equation modeling (PLS-SEM).

The findings revealed that all perceived value constructs significantly positively affect users' satisfaction. Moreover, all perceived sacrifice constructs significantly negatively affect users' satisfaction. Users' satisfaction, in turn, has a significant positive effect on continuance intention, WOM, shopping effectiveness, QOL and stickiness with m-payment services.

This is the first study to examine several levels of m-payment outcomes, including m-payment, consumer and bank outcomes, based on the integration of MTAM and VAM models.

This study seeks to comprehend if political exposure containing disapproval and different values will affect implicit knowledge sharing (KS) amongst colleagues in the organization. This research examines participants' responses to a colleague's social-media political exposure and their readiness to perform implicit KS to their colleague.

Data collection uses an online questionnaire and a vignette approach. Subsequently, data analysis for 316 finished surveys employs structural equation modelling-partial least squares (SEM-PLS).

The findings show that the perceived-value similarity of political posts of a colleague significantly and indirectly affects workers' readiness to do implicit KS. Besides, likes and trusts also significantly affect workers' readiness to perform implicit KS. While perceived-value similarity strongly shapes likes, likes significantly and positively affect trusts.

Sharing social-media postings associated with political exposure can hinder the implicit KS in organizations and is understudied in the field of knowledge management. Especially, unlike this study which focuses on private companies, previous studies have paid more attention to public enterprises. Besides, this paper's empirical verification is obtained from private organizations in Indonesia, which is also neglected by scholars.

The purpose of this paper is to study the presence of highly cited papers of Nature in social media websites and tools. It also tries to examine the correlation between altmetric and bibliometric indicators.

This descriptive study was carried out using altmetric indicators. The research sample consisted of 1,000 most-cited articles in Nature. In February 2019, the bibliographic information of these articles was extracted from the Scopus database. Then, the titles of all articles were manually searched on Google, and by referring to the article in the journal website and altmetric institution, the data related to social media presence and altmetric score of articles were collected. The data were analyzed using Microsoft Excel and SPSS.

According to the results of the study, from 1,000 articles, 989 of them (98.9 per cent) were mentioned at least once in different social media websites and tools. The most used altmetric source in highly cited articles was Mendeley (98.9 per cent), followed by Citeulike (79.8 per cent) and Wikipedia (69.4 per cent). Most Tweets, blog posts, Facebook posts, news stories, readers in Mendeley, Citeulike and Connotea and Wikipedia citations belonged to the article titled “Mastering the game of Go with deep neural networks and tree search”. The highest altmetric score was 3,135 which belonged to this paper. Most tweeters and articles’ readers were from the USA. The membership type of the tweeters was public membership. In terms of fields of study, most readers were PhD students in Agricultural and Biological Sciences. Finally, the results of Spearman’s Correlation revealed positive significant statistical correlation between all altmetric indicators and received citations of highly cited articles (p-value = 0.0001).

The results of this study can help researchers, editors and editorial boards of journals better understand the importance and benefits of using social media and tools to publish articles.

Altmetrics is a relatively new field, and in particular, there are not many studies related to the presence of articles in various social media until now. Accordingly, in this study, a comprehensive altmetric analysis was carried out on 1000 most-cited articles of one of the world's most reliable journals.