HOW TO UNDERSTAND POST-ACCEPTANCE INFORMATION SYSTEM USAGE BEHAVIORS: PESPECTIVE FROM IS SUCCESS MODEL

The impact of information systems (IS) on organizational performance has gained enormous attention from both academics and practitioners. However, it is the post-acceptance IS use that actually help fully realize the IS potential. We identified three types of IS usage behaviors -- routine use (RU), extended use (EU) and innovative use (IU), which can coexist in the post-acceptance stage and help with the work. Drawing on the IS success model, we proposed a research model with IS characteristics as external variables toward perceived usefulness (PU) and satisfaction to explain RU, EU and IU in respective. The relationships among three dimensions of IS characteristics -- information quality, system quality and service quality were discussed further. As RU, EU and IU reflect various extent of IS use, we suggested that they are linked. Then the model was tested by a survey of 240 ERP system users. The results provided evidence that information quality and service quality influence PU and user satisfaction via system quality, and IS success model was a good basis for understanding RU, EU and IU. We also found that RU had a positive impact directly on EU but indirectly on IU via EU. This study helps bridge the gap between IS characteristics and prediction of different types of post-acceptance IS usage behaviors

CONTRACTUAL AND RELATIONAL GOVERNANCE OF SOFTWARE OUTSOURCING PROJECTS: A PROPOSED RESEARCH MODEL AND RESEARCH AGENDA

Organizations are under increasing pressure to exhibit the value of their outsourcing. However, previous IS outsourcing research studies failed to provide evidence on how IT client-provider relationships should be managed to ensure outsourcing success. This article draws on theories of transaction cost and social exchange to develop a model examining outsourcing relationship governance mechanisms. Important determinants of contractual and relational governance and the effectiveness of the control mechanisms on relational outcomes, opportunism and commitment, are examined. This research agenda may theoretically extend IS outsourcing research by incorporating a framework to explore outsourcing relationship management and to practically explain software outsourcing phenomenon

I2^2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs

In this work, we present I$^2$-SDF, a new method for intrinsic indoor scene reconstruction and editing using differentiable Monte Carlo raytracing on neural signed distance fields (SDFs). Our holistic neural SDF-based framework jointly recovers the underlying shapes, incident radiance and materials from multi-view images. We introduce a novel bubble loss for fine-grained small objects and error-guided adaptive sampling scheme to largely improve the reconstruction quality on large-scale indoor scenes. Further, we propose to decompose the neural radiance field into spatially-varying material of the scene as a neural field through surface-based, differentiable Monte Carlo raytracing and emitter semantic segmentations, which enables physically based and photorealistic scene relighting and editing applications. Through a number of qualitative and quantitative experiments, we demonstrate the superior quality of our method on indoor scene reconstruction, novel view synthesis, and scene editing compared to state-of-the-art baselines.Comment: Accepted by CVPR 202

Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction

The robustness to distribution changes ensures that NLP models can be successfully applied in the realistic world, especially for information extraction tasks. However, most prior evaluation benchmarks have been devoted to validating pairwise matching correctness, ignoring the crucial measurement of robustness. In this paper, we present the first benchmark that simulates the evaluation of open information extraction models in the real world, where the syntactic and expressive distributions under the same knowledge meaning may drift variously. We design and annotate a large-scale testbed in which each example is a knowledge-invariant clique that consists of sentences with structured knowledge of the same meaning but with different syntactic and expressive forms. By further elaborating the robustness metric, a model is judged to be robust if its performance is consistently accurate on the overall cliques. We perform experiments on typical models published in the last decade as well as a popular large language model, the results show that the existing successful models exhibit a frustrating degradation, with a maximum drop of 23.43 F1 score. Our resources and code are available at https://github.com/qijimrc/ROBUST.Comment: Accepted by EMNLP 2023 Main Conferenc

Visual Working Memory Capacity Does Not Modulate the Feature-Based Information Filtering in Visual Working Memory

Background: The limited capacity of visual working memory (VWM) requires us to select the task relevant information and filter out the irrelevant information efficiently. Previous studies showed that the individual differences in VWM capacity dramatically influenced the way we filtered out the distracters displayed in distinct spatial-locations: low-capacity individuals were poorer at filtering them out than the high-capacity ones. However, when the target and distracting information pertain to the same object (i.e., multiple-featured object), whether the VWM capacity modulates the featurebased filtering remains unknown. Methodology/Principal Findings: We explored this issue mainly based on one of our recent studies, in which we asked the participants to remember three colors of colored-shapes or colored-landolt-Cs while using two types of task irrelevant information. We found that the irrelevant high-discriminable information could not be filtered out during the extraction of VWM but the irrelevant fine-grained information could be. We added 8 extra participants to the original 16 participants and then split the overall 24 participants into low- and high-VWM capacity groups. We found that regardless of the VWM capacity, the irrelevant high-discriminable information was selected into VWM, whereas the irrelevant fine-grained information was filtered out. The latter finding was further corroborated in a second experiment in which the participants were required to remember one colored-landolt-C and a more strict control was exerted over the VWM capacity

Media or message, which is the king in social commerce?: An empirical study of participants' intention to repost marketing messages on social media

Grounded on the stimulus-organism-response (S-O-R) framework, we develop a research model by proposing participants' perceived utilitarian and hedonic value as the two key mediating mechanisms to transmit the effects of marketing stimuli and social media stimuli on participants' intention to repost a marketing message on social media. The survey data of 402 participants largely support the proposed research model. Interestingly, our data also suggest that marketing stimuli has more salient effects in predicting participants' reposting intention when compared to social media stimuli. We discuss the implications of these results in the context of social commerce

Probing fretting performance of DLC and MoS2 films under fluid lubrication

Transition from onefold to synergistic lubrication for solving fretting wear and fatigue problems is of great practical significance, because fluids can regulate fretting regime for minimizing wear, solid films can restrain nucleation and formation of crack. Here synergistic lubrication coatings were prepared using diamond-like carbon (DLC) and molybdenum disulfide (MoS2) films as anti-wear/fatigue layer, and high-performance lubricants (including silicone oil, ionic liquids, multialkylated cyclopentanes and perfluoropolyethers (PFPE)) as flowable lubrication layer. Their fretting performance was evaluated in detail and fretting mechanism was revealed by surface/interface analysis techniques. Results determine the synergistic lubrication coatings with good anti-wear and anti-fatigue abilities, deriving from the synergy of improved yield strength and shear strength, transfer layer and boundary film. Moreover, the fretting regime is pointedly regulated by solid films with different composition and performance, for example, DLC-based lubrication coatings under applied load of 22 N correspond to slip regime, so do as the MoS2-based coatings under 4 N, and PFPE-lubricated MoS2 films display better anti-wear ability than others, while DLC under PFPE lubrication reverses. The choice of optimal scheme depends on the working condition and lubrication state for achieving the requirements of high reliability, high precision, high efficiency, and long lifetime