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The purpose of this study is to evaluate the effectiveness of alginate as a vehicle to protect coenzyme Q10 in liposomes.

Encapsulation efficiency and stability were conducted at varying temperatures (20, 30, 40°C) for 5 d and at exposure to simulated gastric conditions (pH 2) for 2 h. The content of coenzyme Q10 was determined using HPLC (LC/MS). Cytotoxicity and phagocytosis of mouse macrophages (RAW264.7) was determined.

Results showed that thermostability was strongly improved by alginate complex formation with liposomes. Moreover, alginate could maintain coenzyme Q10 at a significantly higher level in simulated gastric pH for at least 2 h (p<0.00).

This allowed a higher amount of coenzyme Q10 remaining to be absorbed in the small intestine. Alginate not only showed no toxic effect on mouse macrophages but also activated their proliferation and phagocytosis ability.

As a consequence, alginate could be applied as an aid to encapsulation stability and immunostimulating potency.

Some studies have suggested that a supply chain augmented with information technology (IT) has a positive effect on performance in the marketplace. However, these studies have not explained how the IT-based supply chain achieves this superior performance. This study aims to reveal some of the mediating influences at play: the new product development (NPD) activities of product launch, product innovativeness and product development capability.

Taking the electronics manufacturer’s perspective, this study took a resource-based view to propose that NPD activities are affected by IT advancement and that IT-based supply chain architecture is a critical resource that ultimately affects new product performance. Thus study focuses on product launch, because this is the most expensive and risky stage of NPD; product innovativeness, because it plays a substantial role in achieving a competitive advantage; and product development capability, because it leads to superior product performance. A questionnaire was used to collect data from managers of projects, products and supply chains of computer and communication electronics manufacturers; 235 valid questionnaires were returned. These data were subsequently analyzed using a variety of statistical methods.

The results support that manufacturers’ IT resources enable them to enhance NPD activities effectively with their suppliers, and that NPD activities play a key role in moderating the relationship between IT-based supply chains and new product performance.

This paper provides an empirically tested model of how IT-based supply chain architecture can lead to superior new product performance through product lean launch, product innovativeness and product development capability.

The authors focus on a non-Western setting that has hardly featured in debates around political authenticity, Taiwan. The authors also adopt a novel inter-generational perspective to look at varying attitudes towards two ‘unconventional’, high-profile politicians, Ko Wen-je and Han Kuo-yu. Drawing on focus group data, the authors note the similarities and differences in the way that the different generations engage with, and assess, the two politicians with a particular focus on the extent to which their personalities, appearance, and everyday activities are perceived as authentic.

The purpose of this paper is to study performance and market timing ability of equity real estate investment trusts (REITs).

The authors use classical regression‐based framework and their multi‐index, multifactor, and conditional extensions to jointly detect asset selectivity and market timing ability of equity REITs and their subcategories. These results are then validated by a nonparametric test.

It is found that equity REITs in aggregate have some housing market timing ability. Various equity REIT subcategories perform differently: office REITs can discover underpriced properties, while retail, industrial, and office REITs have poor timing ability. Nonparametric tests confirm that equity REITs do not have ability to predict real estate market movements.

Research in REIT performance evaluation is still limited to the asset selectivity aspect. This paper intends to fill this gap by providing empirical evidence of market timing ability of equity REITs using an array of parametric and nonparametric methods.

The purpose of this paper is to provide a comprehensive model to illustrate the mediating role of sense of virtual community (SOVC) in virtual communities of practices (VCoPs). The interrelations between social capital and collective action in terms of knowledge contribution in the VCoP context are also examined.

A total of 253 members from the Zclub and Jorsindo, responded to the survey. PLS-SEM path modeling was used to analyze survey data.

Members’ structural capital and cognitive capital both positively and significantly influence members’ SOVC, and, in turn, their SOVC influences relational capital.

The study linked two theories, namely, social capital and theory of collective action, to discuss knowledge contribution in VCoPs. Social capital and SOVC have significant and positive effects on knowledge contribution in VCoPs.

Knowledge contributions in VCoPs are created through interactions among members, as well as the facilitation resulting from shared visions. Administrators can promote the formation of social-interaction ties in VCoPs to reinforce the formation of social capital and a SOVC.

Administrators of knowledge-oriented groups must strive to sustain proper levels of SOVC among members to ensure their continued participation in VCoPs.

The main objectives of this study were to examine the effects of social capital (structural, cognitive, and relational capitals) on the quality and quantity of knowledge contribution. SOVC was proposed as a mediator in the relationship between structural and/or cognitive capital toward relational capital.

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.

Gender difference exists in the perception of the patient safety culture in healthcare organizations. A case from a medical center in Taiwan is presented to examine how different genders perceive the patient safety culture in practice from 2014 to 2017.

A longitudinal study using the data from 2014 to 2017 is conducted quantitatively. Mann–Whitney U test and one-way analysis of variance are employed for analyses.

The results showed that female nurses had significantly higher emotional exhaustion than male nurses in 2015 and 2016 indicating male nurses had better fatigue recovery than their female counterparts. In addition, male nurses felt a higher degree of fatigue in 2016 and 2017 than those in 2015 statistically. In contrast, female nurses felt more stressful in 2016 and 2017 than those in 2014 statistically. Female nurses had higher emotional exhaustion in 2016 and 2017 than those in 2014 and 2015 statistically.

To sum up, female nurses were more stressful than before, and their recovery was also relatively poor particularly in 2016 and 2017. There is a need to reduce the degree of fatigue for female nurses in this medical center through employee assistance programs, mindfulness-based stress reduction programs, building up female nurses' positive currency and setting up their appreciative inquiry. In contrast to female nurses, male nurses recovered better from fatigue. This might encourage hospital management to deploy male nurses more effectively in this medical center.

The results enable the hospital management to know there is a gender difference in this case hospital. More attention on female nurses is required.

Interdependency among industries is vital for understanding economic structures and managing industrial portfolios. However, it is hard to precisely model the interconnecting structure among industries. One of the reasons is that the interdependencies show a different pattern in tail events. This paper aims to investigate industry interdependency with the tail events.

General predictive model of Rapach et al. (2016) is extended to an interdependency model via least absolute shrinkage and selection operator quantile regression and network analysis. A dynamic network approach was applied on the Fama–French industry portfolios to study the time-varying interdependencies.

A denser network with heterogeneous central industries is found in tail cases. Significant interdependency varieties across time are shown under dynamic network analysis. Market volatility is identified as an influential factor of industry connectedness as well as clustering tendency under both normal and tail cases. Moreover, combining dynamic network with prediction direction information into out-of-sample industry return forecasting, a lower tail case is obtained, which gives the most accurate prediction of one-month forward returns. Finally, the Sharpe ratio criterion prefers high-centrality portfolios when tail risks are considered.

This study examines the industry portfolio interactions under the framework of network analysis and also takes into consideration tail risks. The combination of economic interpretation and statistical methodology helps in having a clear investigation of industry interdependency. Moreover, a new trading strategy based on network centrality seems profitable in our data sample.