Suchergebnisse

Since 2013, the Chinese government has allowed couples to have a second child. This alleviation of the one child policy has encouraged many Chinese to come to Thailand to undergo an In-Vitro Fertilization (IVF) program.In this study, the researcher investigated Chinese patients' attitudes towards the medical service personnel. This involved how patients view the doctors, staff, interpreters, facilities, and the service they received. One of the main issues was the language barrier, when patients could not speak Thai and the staff could not speak Chinese. Interpreters were used in interviewing patients and both the Chinese and English data recorded and transcribed.The linguistic framework of appraisal based on a functional approach to language involving affect (feelings/emotions), judgment (criticize, praise) and appreciation (evaluate and comment) outlined by Martin and Rose (2007) was used to assess the attitude of the Chinese patients toward the healthcare providers in an IVF department.The findings reflected the prosody of waves illustrating positive and negative attitudes. This detailed procedure was used to avoid the issue of the findings simply being labeled as 'commentary' rather than a semantic analysis reflected in the English translations of the texts from the interviews.The pedagogical implications for teaching translation in Chinese universities are also discussed. Baker's (1992) and House's (2015) guidelines to develop translation quality assessment is suggested as one way in which the teaching of translation in general can be improved.

Purpose
Few academic studies specifically investigate how businesses can use social media to innovate customer loyalty programs. The purpose of this paper is to present an in-depth case study of the Shop Your Way (SYW) program, which is regarded as one of the most successful customer loyalty programs with social media.


Design/methodology/approach
This paper uses case study research as the methodology to uncover innovative features associated with the SYW customer loyalty program. The authors collected the data from SYW's social media forums and tweets. The data set was analyzed using social media analytics tools including the R package and Lexicon.


Findings
Based on the research results, the authors summarize innovative social media features identified from SYW. The authors also provide insights and recommendations for businesses that are seeking to innovate their customer loyalty programs using social media technologies.


Originality/value
The results of this case study set a good example for businesses which want to innovate and improve their customer loyalty programs using social media technologies. This is the first in-depth case study on the SYW program, one of the most successful customer loyalty programs with social media. The results shed light on how social media can innovate customer loyalty programs in both theory and practice.

Abstract Background In 2009, the Chinese Central Communist Party and the China State Council started to implement comprehensive healthcare reforms. The first round of reforms, involving Anhui province, was from 2009 to 2011, and focused on primary healthcare institutions. This study conducts an initial assessment of the effects of specific parts of the reforms in Anhui. Methods Mixed quantitative and qualitative methods were adopted for data collection. Seven hundred and three health institutions from 15 counties were randomly chosen. The practices, development, effects, problems, and other relevant information related to the reform were classified into four aspects: medicine management; personnel systems and income distribution mechanisms; compensation mechanisms for primary healthcare institutions; and strengthening the primary healthcare system. The effects of reform were analyzed by evaluating changes in compensation channels, visit costs, diagnosis and treatment structure, hardware, structures, efficiency, and behavior. Results A new system for authorizing drugs resulted in a total of 857 new drugs being accessible at agreed prices through primary healthcare institutions in Anhui. The cost of the average outpatient visit decreased from 35.29 RMB to 31.64 RMB, although for inpatients, the average cost increased from 799.05 RMB to 992.60 RMB. The number of healthcare personnel decreased, but their workloads increased. The total revenue from government sources increased by 41.09%, and the proportion of revenue from drugs decreased by 25.19%. The rate of diagnosis and treatment visits and outpatient visits to primary healthcare institutions increased. Finally, between 2008 and 2010, 1,195 standardized township hospitals, 14,134 village clinics, and 1,234 community health service institutions were constructed. Conclusion The reform of primary healthcare institutions in Anhui has improved the personnel structures surrounding frontline healthcare workers, increased their incomes, improved work efficiency, and changed the compensation patterns of primary healthcare institutions, improved hardware, reduced drug prices, and, to some extent, improved the diagnosis and treatment structure. However, the reforms have not radically changed the behavior of medical workers or the visit patterns of patients. Approaches such as strengthening performance evaluation, and carrying out initiatives to further mobilize frontline healthcare workers, enhance rational drug use through improved training and educate patients, should be undertaken in the future.

PurposeThis study aims to examine how different hospitals utilize social media to communicate risk information about COVID-19 with the communities they serve, and how hospitals' social media messaging (firm-generated content and their local community's responses (user-generated content) evolved with the COVID-19 outbreak progression.Design/methodology/approachThis research proposes a healthcare-specific social media analytics framework and studied 68,136 tweets posted from November 2019 to November 2020 from a geographically diverse set of ten leading hospitals' social media messaging on COVID-19 and the public responses by using social media analytics techniques and the health belief model (HBM).FindingsThe study found correlations between some of the HBM variables and COVID-19 outbreak progression. The findings provide actionable insight for hospitals regarding risk communication, decision making, pandemic awareness and education campaigns and social media messaging strategy during a pandemic and help the public to be more prepared for information seeking in the case of future pandemics.Practical implicationsFor hospitals, the results provide valuable insights for risk communication practitioners and inform the way hospitals or health agencies manage crisis communication during the pandemic For patients and local community members, they are recommended to check out local hospital's social media sites for updates and advice.Originality/valueThe study demonstrates the role of social media analytics and health behavior models, such as the HBM, in identifying important and useful data and knowledge for public health risk communication, emergency responses and planning during a pandemic.

The number of talented persons who are equipped with high wisdom intelligence will immediately determine the quality of humankind's entire life, and the future trend for humankind's innovation and creation in fields such as thinking, cognition, society, politics, economy, military, science, arts, culture, and so on. Meanwhile, it protects the harmonious development of various fields. By illustrating the meanings of applying high wisdom intelligence in the survival and prosperity for each nation, ethnicity and individual, this article has a significant application to the understanding of educational studies of high wisdom intelligence.

Purpose
Customer knowledge from social media can become an important organizational asset. The purpose of this paper is to identify useful customer knowledge including knowledge for customer, knowledge about customers and knowledge from customers from social media data and facilitate social media-based customer knowledge management.


Design/methodology/approach
The authors conducted a case study to analyze people's online discussion on Twitter regarding laptop brands and manufacturers. After collecting relevant tweets using Twitter search APIs, the authors applied statistical analysis, text mining and sentiment analysis techniques to analyze the social media data set and visualize relevant insights and patterns in order to identify customer knowledge.


Findings
The paper identifies useful insights and knowledge from customers and knowledge about customers from social media data. Furthermore, the paper shows how the authors can use knowledge from customers and knowledge about customers to help companies develop knowledge for customers.


Originality/value
This is an original social media analytics study that discusses how to transform large-scale social media data into useful customer knowledge including knowledge for customer, knowledge about customers and knowledge from customers.