Achieving Omnichannel Implementation: A Resource Orchestration Analysis

Brick-and-mortar (B&M) firms are increasingly required to provide a seamless omnichannel experience for customers across channels. However, when integrating online and offline channels to provide seamless omni-experiences, B&M firms often face challenges in effectively orchestrating their scarce assets between these competing channels. Therefore, we ask, How to manage channel conflicts to achieve a consistent omnichannel experience. We adopted a resource orchestration perspective as a theoretical sense-making lens to address our question, based on a case study of successful omnichannel integration at a leading B&M firm in Asia. We found that B&M firms can achieve omnichannel consistency by structuring centralized leadership resource and centralized IT resource; bundling these resources to create sustainable competitive collaboration capability; and leveraging this capability to achieve omnichannel consistency. Our study contributes to omnichannel integration literature and provides practical guidelines to B&M managers for a successful omnichannel implementation

Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings

Current meta-learning approaches focus on learning functional representations of relationships between variables, i.e. on estimating conditional expectations in regression. In many applications, however, we are faced with conditional distributions which cannot be meaningfully summarized using expectation only (due to e.g. multimodality). Hence, we consider the problem of conditional density estimation in the meta-learning setting. We introduce a novel technique for meta-learning which combines neural representation and noise-contrastive estimation with the established literature of conditional mean embeddings into reproducing kernel Hilbert spaces. The method is validated on synthetic and real-world problems, demonstrating the utility of sharing learned representations across multiple conditional density estimation tasks

The role of DNA (de)methylation in immune responsiveness of Arabidopsis.

DNA methylation is antagonistically controlled by DNA-methyltransferases and DNA-demethylases. The level of DNA methylation controls plant gene expression on a global level. We have examined impacts of global changes in DNA methylation on the Arabidopsis immune system. A range of hypo-methylated mutants displayed enhanced resistance to the biotrophic pathogen Hyaloperonospora arabidopsidis (Hpa), whereas two hyper-methylated mutants were more susceptible to this pathogen. Subsequent characterization of the hypo-methylated nrpe1 mutant, which is impaired in RNA-directed DNA methylation, and the hyper-methylated ros1 mutant, which is affected in DNA demethylation, revealed that their opposite resistance phenotypes are associated with changes in cell wall defence and salicylic acid (SA)-dependent gene expression. Against infection by the necrotrophic pathogen Plectosphaerella cucumerina, nrpe1 showed enhanced susceptibility, which was associated with repressed sensitivity of jasmonic acid (JA)-inducible gene expression. Conversely, ros1 displayed enhanced resistance to necrotrophic pathogens, which was not associated with increased responsiveness of JA-inducible gene expression. Although nrpe1 and ros1 were unaffected in systemic acquired resistance to Hpa, they failed to develop transgenerational acquired resistance against this pathogen. Global transcriptome analysis of nrpe1 and ros1 at multiple time-points after Hpa infection revealed that 49% of the pathogenesis-related transcriptome is influenced by NRPE1- and ROS1-controlled DNA methylation. Of the 166 defence-related genes displaying augmented induction in nrpe1 and repressed induction in ros1, only 25 genes were associated with a nearby transposable element and NRPE1- and/or ROS1-controlled DNA methylation. Accordingly, we propose that the majority of NRPE1- and ROS1-dependent defence genes are regulated in trans by DNA methylation. This article is protected by copyright. All rights reserved

Navigating Digital Transformation in Retail: A Resource Orchestration Analysis Towards Achieving Online-to-Offline Channel Integration Strategy

The rise of e-commerce market exchanges has disrupted the traditional Brick and Mortar (B&M) retailing sector, compelling B&M retailers to adopt strategic responses to sustain their market positions. Online-to-Offline (O2O) retailing has emerged as a promising approach to harness the potential synergies between online and offline channels. However, scholarly inquiry into the process of implementing O2O retailing remains limited. To address the research gap, this study presents a resource orchestration analysis of O2O implementation, using a successful case study from a leading B&M in Asia. Drawing from the theoretical lens of resource orchestration, the study uncovers key processes encompassing structuring, bundling, and leveraging stages. These processes involve structuring unified IT and cross-channel management resources, bundling these resources to build O2O integration and O2O differentiation capabilities, and leveraging these capabilities to deliver O2O value. By shedding light on the intricate mechanisms involved in O2O implementation, this research contributes to advancing the theoretical understanding and managerial practice of O2O retailing strategies

Semienzymatic cyclization of disulfide-rich peptides using sortase A

Background: Sortase A (SrtA) is a transpeptidase capable of catalyzing the formation of amide bonds. Results: SrtA was used to backbone-cyclize disulfide-rich peptides, including kalata B1, -conotoxin Vc1.1, and SFTI-1. Conclusion: SrtA-mediated cyclization is applicable to small disulfide-rich peptides. Significance: SrtA-mediated cyclization is an alternative to native chemical ligation for the cyclization of small peptides of therapeutic interest

Situating Data Sets: Making Public Data Actionable for Housing Justice

Activists, governmentsm and academics regularly advocate for more open data. But how is data made open, and for whom is it made useful and usable? In this paper, we investigate and describe the work of making eviction data open to tenant organizers. We do this through an ethnographic description of ongoing work with a local housing activist organization. This work combines observation, direct participation in data work, and creating media artifacts, specifically digital maps. Our interpretation is grounded in D'Ignazio and Klein's Data Feminism, emphasizing standpoint theory. Through our analysis and discussion, we highlight how shifting positionalities from data intermediaries to data accomplices affects the design of data sets and maps. We provide HCI scholars with three design implications when situating data for grassroots organizers: becoming a domain beginner, striving for data actionability, and evaluating our design artifacts by the social relations they sustain rather than just their technical efficacy.Comment: 16 pages including references, 4 figures, 1 table, ACM CHI 202

Reconstruction of primary vertices at the ATLAS experiment in Run 1 proton–proton collisions at the LHC

This paper presents the method and performance of primary vertex reconstruction in proton–proton collision data recorded by the ATLAS experiment during Run 1 of the LHC. The studies presented focus on data taken during 2012 at a centre-of-mass energy of √s=8 TeV. The performance has been measured as a function of the number of interactions per bunch crossing over a wide range, from one to seventy. The measurement of the position and size of the luminous region and its use as a constraint to improve the primary vertex resolution are discussed. A longitudinal vertex position resolution of about 30μm is achieved for events with high multiplicity of reconstructed tracks. The transverse position resolution is better than 20μm and is dominated by the precision on the size of the luminous region. An analytical model is proposed to describe the primary vertex reconstruction efficiency as a function of the number of interactions per bunch crossing and of the longitudinal size of the luminous region. Agreement between the data and the predictions of this model is better than 3% up to seventy interactions per bunch crossing

AIS Entrepreneurial Innovation Fellowship 2024 Symposium

This is a video recording from the second AIS Kauffman Entrepreneurial Innovation Fellowship Fall 2024 Symposiu