Self-Awareness or Context-Awareness? The Role of Awareness in Herd Behavior

Online consumers are increasingly using social commerce platforms to engage in various social interactions and conduct commercial activities. Drawing on latent state-trait (LST) theory, this study investigates how self-awareness (i.e., private and public self-awareness) and context-awareness (i.e., perceived expertise, similarity and familiarity) influence herd behavior (i.e., discounting own information and imitating other). In addition, we examine the interplay between self-awareness and context-awareness. Furthermore, we posit that herd behavior contributes positively to purchase intention, which in turn influences purchase behavior. To test the proposed model, we will collect longitudinal data from actual social commerce users. The theoretical and practical implication will be discusse

The Impact of Technology Support for Contextualization and Media System Dependency on Enterprise Social Media Use

While enterprise social media (ESM) increasingly plays a vital role in improving teamwork in organizations, our understanding of how ESM is used by team members is still limited. Although researchers have investigated the impacts of ESM use, relatively few studies explore how individual members exhibit different extents of ESM usage behavior. Drawing upon media system dependency theory, we propose that ESM support for cognitive and affective contextualization can enhance individuals’ different types of dependency relations with the ESM by fulfilling their needs, which in turn lead to their different extents of usage behavior. Firms in China where ESM applications are used regularly will be surveyed to verify the associated hypotheses. The research design and expected contributions of this research will be discussed

The Impact of Enterprise Social Media Use on Overload: The Moderating Role of Communication Visibility

Prior research has mainly focused on the positive effects of information technology (IT) use. However, emerging research begins to highlight the importance of considering the dark side of IT use. This study examines how enterprise social media (ESM) use (i.e., work- and social- related use) affects employees’ perceived overload (i.e., information and social overload). In addition, we propose that communication visibility moderates the nonlinear relationship between ESM use and overload. The theoretical and practical implications are also discussed

THE MODERATING EFFECTS OF CONTEXTUAL FACTORS ON A BUYER’S TRUST IN E-COMMERCE PLATFORMS AND SELLERS

Drawing on trust transfer theory and signal theory, we investigate how perceived effectiveness of e-commerce institutional mechanisms (PEEIM) and perceived website quality of the seller (PWQS) moderate the relationships between trust in platform, trust in seller and purchase intention in the context of Consumer to Consumer (C2C) platforms. To test our proposed model, we surveyed 224 buyers of TaoBao, a major Chinese C2C portal. The results indicate that PEEIM has no effect on the relationship between trust in platform and trust in seller, yet it positively moderates the relationship between trust in seller and purchase intention. In addition, PWQS positively moderates the relationship between trust in platform and trust in seller, but negatively moderates the relationship between trust in seller and purchase intention. The theoretical and practical implications are discussed

Understanding the Adoption of Smart Community Services: Perceived Usefulness, Enjoyment, and Affective Community Commitment

Smart community is an emerging form of community that provides various convenient services (smart community services (SCS)) through smart community platform to community residents. However, in practice, residents have limited SCS acceptance, which deserves to be further investigated in the literature. This study investigates the SCS adoption of residents by integrating technological belief factors (perceived usefulness and enjoyment), and social influence factor (affective community commitment). A survey of 191 residents identifies perceived usefulness, perceived enjoyment, and affective community commitment as important determinants of SCS adoption. Affective community commitment weakens the effect of perceived enjoyment yet strengthen the effect of perceived usefulness on SCS adoption. Our study fills the research gap on smart community as well as enriches the IT acceptance literature. This study also offers practical recommendations that can aid practitioners in conducting smart community programs

Isolation and Characterization of Microsatellite Loci in Pistacia weinmannifolia (Anacardiaceae)

Fourteen polymorphic microsatellite loci were isolated from the genomic DNA of Pistacia weinmannifolia, using the Fast Isolation by AFLP of Sequences Containing repeats (FIASCO) method, and screened on 12 individuals from each of two wild populations. The 14 polymorphic loci had an average of 4.1 alleles per locus varying from 1 to 9. The observed (Ho) and expected (He) heterozygosities across the two populations ranged from 0.000 to 0.933 and from 0.000 to 0.906, respectively. Tests for departure from Hardy-Weinberg equilibrium (HWE) and genotypic linkage disequilibrium (LD) were conducted for each of the two populations separately. It was found that no locus significantly deviated from HWE proportions and no significant LD was detected between loci (p < 0.001). In the test of cross-species utility, we successfully amplified nine (64.2%) of 14 loci in P. chinensis and four (28.6%) in P. mexicana. The relatively high level of polymorphism for these markers will facilitate further studies of gene flow, population structure and evolutionary history of P. weinmannifolia and its congeners

Gating interactions steer loop conformational changes in the active site of the L1 metallo-β-lactamase

β-Lactam antibiotics are the most important and widely used antibacterial agents across the world. However, the widespread dissemination of β-lactamases among pathogenic bacteria limits the efficacy of β-lactam antibiotics. This has created a major public health crisis. The use of β-lactamase inhibitors has proven useful in restoring the activity of β-lactam antibiotics, yet, effective clinically approved inhibitors against class B metallo-β-lactamases are not available. L1, a class B3 enzyme expressed by Stenotrophomonas maltophilia, is a significant contributor to the β-lactam resistance displayed by this opportunistic pathogen. Structurally, L1 is a tetramer with two elongated loops, α3-β7 and β12-α5, present around the active site of each monomer. Residues in these two loops influence substrate/inhibitor binding. To study how the conformational changes of the elongated loops affect the active site in each monomer, enhanced sampling molecular dynamics simulations were performed, Markov State Models were built, and convolutional variational autoencoder-based deep learning was applied. The key identified residues (D150a, H151, P225, Y227, and R236) were mutated and the activity of the generated L1 variants was evaluated in cell-based experiments. The results demonstrate that there are extremely significant gating interactions between α3-β7 and β12-α5 loops. Taken together, the gating interactions with the conformational changes of the key residues play an important role in the structural remodeling of the active site. These observations offer insights into the potential for novel drug development exploiting these gating interactions