The impact of anti-diabetic drugs on colorectal cancer risk in a large cohort of women with diabetes

No Abstrac

Understanding the antecedents of consumer brand engagement by managing brand communities on social media

As social media provide companies with opportunities to create touch-points by enabling consumers to interact with brands in new ways, a key issue for organizations is how to use brand communities to engage customers and enhance their relationships with brands. Brand community interactivity is one of the latest developments to engage consumers in online brand communities. The objective of brand communities is not only to attract potential customers, but also to retain loyal consumers and gain advocates. Thus, brands and companies’ social media activity should be appropriately organized and managed for high-level consumer brand engagement (CBE), which is a comprehensive construct that allow companies to examine the bond between their brands and consumers. The essence of this CBE bond is related to the involvement of consumers, as it increases the touch-points between them and the brand. This study examined perceived interactivity as a driving factor in the context of a brand community on social media with the purpose of encouraging consumer community engagement, community satisfaction, and consumer brand engagement (CBE). Two second-order constructs were operationalized in the research model. Communication, responsiveness, and control were treated as reflective factors to create the second-order construct “perceived interactivity,” while the other second-order construct “CBE” comprised cognitive processing, affection, and activation as reflective indicators. The results, based on data collected from 328 social media users who are followers of a smartphone brand’s Facebook page, indicated that perceived interactivity is likely to significantly affect consumer community engagement and community satisfaction, which in turn foster brand engagement. Successful social media marketing practices for companies should take responsibility for transforming consumer community engagement into CBE, as it is imperative for organizations building brand communities to enhance their consumer community satisfaction through proper community management to achieve high CBE

An Enhanced Screenshot Interaction with Animated Stickers to Promote Learning Transfer

This study has implemented a platform, namely piniton.tw, rolling out a redesign of user interaction with screenshot. It is an excellent environment for students’ collaborative learning, as students upload screenshots and interact with each other to complete assignments by using animated stickers. As the study intended to investigate how to promote learning transfer by means of such enhanced screenshot interaction with animated stickers, task difficulty, online participation, and learning transfer were chosen as the basis for the research model. By applying the technology acceptance model, perceived ease of use, perceived usefulness, and behavioral intention were included. The results indicated that students’ perceived ease of use and perceived usefulness are likely to significantly affect their behavioral intention, which in turn promote learning transfer. An implication is that students’ learning transfer could be prompted greatly by enhancing their intention to use such platform that provides enhanced screenshot interaction with animated stickers

Stationary Light Pulses in Cold Atomic Media

Stationary light pulses (SLPs), i.e., light pulses without motion, are formed via the retrieval of stored probe pulses with two counter-propagating coupling fields. We show that there exist non-negligible hybrid Raman excitations in media of cold atoms that prohibit the SLP formation. We experimentally demonstrate a method to suppress these Raman excitations and realize SLPs in laser-cooled atoms. Our work opens the way to SLP studies in cold as well as in stationary atoms and provides a new avenue to low-light-level nonlinear optics.Comment: 4 pages, 4 figure

How Does Social Media Interactivity Affect Brand Loyalty?

As social media has become a prominent platform for networking, many organizations have begun to establish more than one brand community, as a set of supplements to their branded websites. Once most online brand interactions take place on social networking sites rather than branded sites, such customer-oriented interactions will become much more complicated and unpredictable. It is a real challenge for organizations to build successful customer-brand relationships through social networking sites. Hence, organizations that wish to enhance brand loyalty by running brand communities face the challenge of effectively conducting social customer relationship management (CRM) tactics. As social media users are susceptible to highly interactive features, understanding the nature of social media interactivity in brand communities is the key to building successful social CRM. The aim of the study is to investigate not only the effect of social media interactivity on community benefits, but also the effect of community benefits on brand loyalty. In addition to measuring the direct effects of social influence and media richness on brand loyalty, the study assessed the indirect effect of responsiveness on brand loyalty by means of community benefits, including knowledge gains and sense of membership. The results, based on data collected from 229 social media users who are followers of a Super Basketball League (SBL) team’s Facebook page, indicated that media richness had a strong, positive, and direct effect on brand loyalty, and that responsiveness had direct effects on their knowledge gains and their sense of membership, which in turn affected brand loyalty indirectly

Virtual Goods Recommendations in Virtual Worlds

Virtual worlds (VWs) are computer-simulated environments which allow users to create their own virtual character as an avatar. With the rapidly growing user volume in VWs, platform providers launch virtual goods in haste and stampede users to increase sales revenue. However, the rapidity of development incurs virtual unrelated items which will be difficult to remarket. It not only wastes virtual global companies’ intelligence resources, but also makes it difficult for users to find suitable virtual goods fit for their virtual home in daily virtual life. In the VWs, users decorate their houses, visit others’ homes, create families, host parties, and so forth. Users establish their social life circles through these activities. This research proposes a novel virtual goods recommendation method based on these social interactions. The contact strength and contact influence result from interactions with social neighbors and influence users’ buying intention. Our research highlights the importance of social interactions in virtual goods recommendation. The experiment’s data were retrieved from an online VW platform, and the results show that the proposed method, considering social interactions and social life circle, has better performance than existing recommendation methods

Advantage of make-to-stock strategy based on linear mixed-effect model: a comparison with regression, autoregressive, times series, and exponential smoothing models

In the past few decades, demand forecasting has become relatively difficult due to rapid changes in the global environment. This research illustrates the use of the make-to-stock (MTS) production strategy in order to explain how forecasting plays an essential role in business management. The linear mixed-effect (LME) model has been extensively developed and is widely applied in various fields. However, no study has used the LME model for business forecasting. We suggest that the LME model be used as a tool for prediction and to overcome environment complexity. The data analysis is based on real data in an international display company, where the company needs accurate demand forecasting before adopting a MTS strategy. The forecasting result from the LME model is compared to the commonly used approaches, including the regression model, autoregressive model, times series model, and exponential smoothing model, with the results revealing that prediction performance provided by the LME model is more stable than using the other methods. Furthermore, product types in the data are regarded as a random effect in the LME model, hence demands of all types can be predicted simultaneously using a single LME model. However, some approaches require splitting the data into different type categories, and then predicting the type demand by establishing a model for each type. This feature also demonstrates the practicability of the LME model in real business operations

Ramsey interferometry through coherent X2Σg+−A2Πu−B2Σu+X^2\Sigma_g^+ - A^2\Pi_u - B^2\Sigma_u^+ coupling and population transfer in N2+^+_2 air laser

The laser-like coherent emission at 391nm from N$_2$ gas irradiated by strong 800nm pump laser and weak 400nm seed laser is theoretically investigated. Recent experimental observations are well simulated, including temporal profile, optical gain and periodic modulation of the 391nm signal from N$_2^+$. Our calculation sheds light on the long standing controversy on whether population inversion is indispensable for the optical gain. We demonstrate the Ramsey interference fringes of the emission intensity at 391nm formed by additionally injecting another 800nm pump or 400nm seed, which are well explained by the coherent modulation of transition dipole moment and population between the $A^2\Pi_u(\nu=2)$-$X^2\Sigma_g^+$ states as well as the $B^2\Sigma_u^+ (\nu=0)$-$X^2\Sigma_g^+$ states. This study provides versatile possibilities for the coherent control of $\text{N}_2^+$ air laser.Comment: 5 pages, 5 figure