Examining The Factors That Affect ERP Assimilation

The aim of this study is to identify the factors that influence the assimilation of enterprise resource planning (ERP) systems in the post-implementation stage. Building on organizational information processing theory (OIPT) and absorptive capacity (AC), we propose an integrated model, which examines the relationship among organizational fit, absorptive capacity, environmental uncertainty, and ERP assimilation. Based on the survey data from 98 firms that have implemented ERP, most of the proposed hypotheses were supported, showing that initial fit, potential AC, realized AC, and heterogeneity jointly affect ERP assimilation. Task uncertainty (hostility and heterogeneity) negatively moderates the relationship between initial fit and ERP assimilation. The implications for both theory and practice are discussed

Aqua­(3-formyl-2-oxidobenzoato-κ2 O 1,O 2)(1,10-phenanthroline-κ2 N,N′)copper(II) dimethyl­formamide solvate

In the structure of the title complex, [Cu(C8H4O4)(C12H8N2)(H2O)]·C3H7NO, the CuII ion is penta­coordinated in a distorted square-pyramidal geometry by two O atoms of a 3-formyl-2-oxidobenzoate dianion and two N atoms of a 1,10-phenanthroline ligand occupying the basal plane and a water O atom located at the apical site. The structure displays O—H⋯O hydrogen bonding and inter­molecular π–π stacking inter­actions between 1,10-phenantroline ligands [inter­planar distance of 3.448 (5) Å]

Observing white dwarf tidal stripping with TianQin gravitational wave observatory

Recently discovered regular X-ray bursts known as quasi-periodic eruptions have a proposed model that suggests a tidal stripping white dwarf inspiralling into the galaxy's central black hole on an eccentric orbit. According to this model, the interaction of the stripping white dwarf with the central black hole would emit gravitational wave signals as well, their detection can help explore the formation mechanism of quasi-periodic eruptions and facilitate multi-messenger observations. In this paper, we aim to perform a preliminary study of the gravitation wave observation of TianQin on this stripping white dwarf model. We investigated the horizon distance of TianQin on this type of gravitation wave signal and found it can be set to 200Mpc. We also find that those stripping white dwarf model sources with central black hole mass within $10^4\sim10^{5.5}M_\odot$ are more likely to be detected by TianQin. We assessed the parameter estimation precision of TianQin on those stripping white dwarf model sources. Our result shows that, even in the worst case, TianQin can determine the central black hole mass, the white dwarf mass, the central black hole spin, and the orbital initial eccentricity with a precision of $10^{-2}$. In the optimistic case, TianQin can determine the central black hole mass and the white dwarf mass with a precision of $10^{-7}$, determine the central black hole spin with a precision of $10^{-5}$, and determine the orbital initial eccentricity with a precision of $10^{-8}$. Moreover, TianQin can determine the luminosity distance with a precision of $10^{-1}$ and determine the sky localization with a precision of $10^{-2}\sim10$ $\rm deg^2$.Comment: 9 pages, 4 figure

UNDERSTANDING COMPETITIVE PERFORMANCE OF SOFTWARE-AS-A-SERVICE (SAAS)—THE COMPETITIVE DYNAMICS PERSPECTIVE

Understanding the antecedents and consequences of a firm’s agility in cloud software applications is important. This papers draws on the competitive dynamics perspective to develop a model that explains the relationships between collaboration with vendors, agility, and competitive performance in software-as-a-service (SaaS) context. Collaboration reflects a firm’s ability to leverage interfirm resources, characterized as knowledge sharing and process alignment. Agility is measured by a firm’s strategy-oriented agility and service-oriented agility. This study also investigates the moderating effect of environmental turbulence. The proposed hypotheses are supported by the empirical data. The results show that competitive performance is affected by ability, which, in turn, is impacted by collaboration. Environmental turbulence positively moderates the relationship between agility and performance. Finally, we discuss the implications of our results