Search results

The need for more accessible services is apparent and has become more urgent due to the pandemic, COVID-19. While online psycho-education exists, its feasibility is rarely tested. This study explored the online learning experiences and technology competencies of caregivers of transition-aged autistic youth. Their preferred online transition-related training topics were also explored.

A quantitative survey was developed based on the review of related literature. The survey was distributed to caregivers of autistic children in the USA.

Results showed that these caregivers are open to online learning (84%) while preferring asynchronous (74.6%) over synchronous mode (12%). The highest-rated topics include life/independent living skills, employment and social and community involvement.

This paper presented valuable information for researchers and educators who are interested in developing online learning programs for the caregivers of autistic children.

This paper is a study of the current trends and conditions of electronic resources for Chinese studies, based on a recent survey on the Internet of 29 Chinese libraries in North America and eight Chinese libraries in China, Taiwan and Hong Kong. The survey discussed current electronic resources for Chinese studies, with a union list of major Chinese language databases currently used in libraries in Asia and the US. Current views on the use and development of electronic resources for Chinese studies were summarised.

The purpose of this paper is to analyze the fuzzy reliability of the compressor house unit (CHU) system in a coal fired thermal power plant under vague environment by reducing the accumulating phenomenon of fuzziness and accelerating the computation process. This paper uses different fuzzy membership functions to quantify uncertainty and access the system reliability in terms of different fuzzy reliability indices having symmetric shapes.

This study analyses the fuzzy reliability of the CHU system in a coal fired thermal power plant using T_ω-based generalized fuzzy Lambda-Tau (TBGFLT) technique. This approach applies fault tree, Lambda-Tau method, different fuzzy membership functions and α-cut coupled T_ω-based approximate arithmetic operations to compute various reliability parameters (such as failure rate, repair time, mean time between failures, expected number of failures, availability and reliability) of the system. The effectiveness of TBGFLT technique has been demonstrated by comparing the results with results obtained from four different existing techniques. Moreover, this paper applies the extended Tanaka et al. (1983) approach to rank the critical components of the system when different membership functions are used.

The adopted TBGFLT technique in the present study improves the shortcomings of the existing approaches by reducing the accumulating phenomenon of fuzziness, accelerating the computation process and getting symmetric shapes for computed reliability parameters when different membership functions are used to quantify data uncertainty.

In existing fuzzy reliability techniques which are developed for repairable systems either triangular fuzzy numbers, triangle vague sets or triangle intuitionistic fuzzy sets have been used for quantifying uncertainty. These approaches do not examine the systems for components with different membership functions. The present study is an effort in this direction and evaluates the fuzzy reliability of the CHU system in a coal fired thermal power plant for components with different membership functions. This is the main contribution of the paper.

The purpose of this paper is to explore teachers' behaviours in completing an internet survey using decision trees. Furthermore, to reduce the complexity of the decision trees, a statistical technique was used to decrease the number of input variables in the decision trees.

A dataset of 47,647 samples was used to build the decision trees. These samples were collected from an internet survey of teachers in Taiwan. The output of the decision trees was the answering time (the time taken to complete the internet questionnaire). Eight variables were selected as the inputs for the decision trees. Two techniques were employed to build the decision trees – the exhaustive chi‐squared automatic interaction detector (ECHAID) and classification and regression tree (CRT) analysis. To reduce the complexity of the decision models, factor analysis technique was used to decrease the data dimensions (number of input variables) and to obtain a simplified decision model. One‐way ANOVA was used to validate the effects of the dimension reduction.

From the results of the factor analysis, a simplified decision tree is recommended using four input variables – teaching years, school level, sex and area. The classification accuracy of the simplified model is statistically equivalent to that of the original one, which used eight input variables.

The complexity of decision trees theoretically depends on the number of input variables. This study used a statistical technique to decrease the number of input variables and thereby reduce the complexity of the decision trees. A statistical technique was employed to validate that the classification accuracy is not statistically different between the original decision model and the simplified one. The decision models proposed in this paper can be applied in estimating the answering time for completing a questionnaire during an internet survey.

The ‘managed stock’ market in Taiwan is neglected by the authorities and general investors. In this paper, we explore the link between financial trait and stock price changes in this special market.

Overall, we analyze and discuss managerial implications for institutional investors, general investors and the authorities as well.

The aim of this study was to integrate the hierarchical model of the perceived service quality (PSQ) theory with the bottom-up theory of satisfaction. It was hypothesised that satisfaction with sporting events would mediate the relationship between PSQ and life satisfaction. Study 1 was conducted to translate the Perceived Service Quality questionnaire (PSQQ) (Brady & Cronin, 2011) into Chinese and to validate it for sporting events. Study 2 was conducted to examine the main hypothesis. The results indicated that satisfaction-withevent partially mediated the relationship between PSQ and life satisfaction. The results are discussed in terms of both the examined theories.

Mobile health, i.e. m-Health possesses huge potential, especially to the developing countries and remote locations of developed countries. The success of such systems may create a healthier society through eradicating health incidents, which cannot otherwise be addressed with “brick and mortar” type of health systems. The purpose of this paper is to develop an m-Health success model from users’ perspective and validate in a developing country context.

Epistemologically, positivist approach has been adopted for the current research. An initial research model was developed from existing information system (IS) literature, which was then validated with survey data applying partial least square structural equation modelling (PLS-SEM).

The results summarise that continuance intention (CI) of m-Health services is dependent on perceived value (PV) and user satisfaction (STF); PV positively influences STF. Moreover, platform quality, quality of medical advice, and interaction quality have positive and direct effect on PV and STF; finally, CI drives to better quality of health life.

The findings of this study provide strategic implications to health managers and practitioners recognising the determinants of m-Health success and comprehending their relationships. It is underscored that, in order to secure the success of an m-Health system in a given society both human and technology-related components are vital and therefore should be taken care of.

This is the first attempt that develops and validates an m-Health system success model, particularly from the context of a country with low-health profile. Moreover, the contextualisation of the related variables and extension of existing IS success models is theoretically original.

The purpose of this paper is to apply social network analysis (SNA) to study faculty research productivity, to identify key leaders, to study publication keywords and research areas and to visualize international collaboration patterns and analyze collaboration research fields from all Management Information System (MIS) departments in Taiwan from 1982 to 2015.

The authors first retrieved results encompassing about 1,766 MIS professors and their publication records between 1982 and 2015 from the Ministry of Science and Technology of Taiwan (MOST) website. Next, the authors merged these publication records with the records obtained from the Web of Science, Google Scholar, IEEE Xplore, ScienceDirect, Airiti Library and Springer Link databases. The authors further applied six network centrality equations, leadership index, exponential weighted moving average (EWMA), contribution value and k-means clustering algorithms to analyze the collaboration patterns, research productivity and publication patterns. Finally, the authors applied D3.js to visualize the faculty members' international collaborations from all MIS departments in Taiwan.

The authors have first identified important scholars or leaders in the network. The authors also see that most MIS scholars in Taiwan tend to publish their papers in the journals such as Decision Support Systems and Information and Management. The authors have further figured out the significant scholars who have actively collaborated with academics in other countries. Furthermore, the authors have recognized the universities that have frequent collaboration with other international universities. The United States, China, Canada and the United Kingdom are the countries that have the highest numbers of collaborations with Taiwanese academics. Lastly, the keywords model, system and algorithm were the most common terms used in recent years.

This study applied SNA to visualize international research collaboration patterns and has revealed some salient characteristics of international cooperation trends and patterns, leadership networks and influences and research productivity for faculty in Information Management departments in Taiwan from 1982 to 2015. In addition, the authors have discovered the most common keywords used in recent years.

The Communist revolution in China has led to the appearance in this country of increasing numbers of Chinese books in Russian translation. The Chinese names in Cyrillic transcription have presented many librarians and students with a new problem, that of identifying the Cyrillic form of a name with the customary Wade‐Giles transcription. The average cataloguer, the first to meet the problem, has two obvious lines of action, and neither is satisfactory. He can save up the names until he has a chance to consult an expert in Chinese. Apart altogether from the delay, the expert, confronted with a few isolated names, might simply reply that he could do nothing without the Chinese characters, and it is only rarely that Soviet books supply them. Alternatively, he can transliterate the Cyrillic letters according to the system in use in his library and leave the matter there for fear of making bad worse. As long as the writers are not well known, he may feel only faintly uneasy; but the appearance of Chzhou Ėn‐lai (or Čžou En‐laj) upsets his equanimity. Obviously this must be entered under Chou; and we must have Mao Tse‐tung and not Mao Tsze‐dun, Ch'en Po‐ta and not Chėn' Bo‐da. But what happens when we have another . . . We can hardly write Ch'en unless we know how to represent the remaining elements in the name; yet we are loth to write Ch'en in one name and Chėn' in another.