Shouhong Wang

Enterprises are continuously undertaking digital transformation by implementing, maintaining, and integrating digital technologies for their information systems. However, the enterprise systems industry does not have a formal model or tool to coordinate the enterprise digital transformation process. This paper proposes a semantic model for enterprise digital transformation analysis. The proposed semantic model links all critical aspects of enterprise digital transformation and provides a multifaceted view of digital transformation for the organization. The study develops a prototype of computerized semantic model and demonstrates the usefulness of the proposed semantic model for enterprise digital transformation analysis.

A central challenge in physics is to describe non-equilibrium systems driven by randomness, such as a randomly growing interface, or fluids subject to random fluctuations that account e.g. for local stresses and heat fluxes not related to the velocity and temperature gradients. For deterministic systems with infinitely many degrees of freedom, normal form and center manifold theory have shown a prodigious efficiency to often completely characterize how the onset of linear instability translates into the emergence of nonlinear patterns. However, in presence of random fluctuations, this reduction procedure is seriously challenged due to large excursions caused by the noise, and the approach needs to be revisited. We present an alternative framework to cope with these difficulties exploiting the approximation theory of stochastic invariant manifolds and energy estimates measuring the defect of parameterization of the high-modes. To operate for fluid problems, these error estimates are derived under assumptions regarding dissipation effects brought by the high-modes that suitably counterbalance the loss of regularity due to the nonlinear terms. The approach enables us to predict, from the reduced equations, the occurrence in large probability of a stochastic analogue to the pitchfork bifurcation, as long as the noise's intensity and the eigenvalue's magnitude of the mildly unstable mode scale accordingly. Our parameterization formulas involve non-Markovian coefficients, which depend explicitly on the history of the noise path that drives the SPDE dynamics, and their memory content is self-consistently determined by the intensity of the random force and its interaction through the SPDE's nonlinear terms. Applications to a stochastic Rayleigh-Benard problem are detailed, for which conditions for a stochastic pitchfork bifurcation (in large probability) to occur, are clarified.

This article investigates the opportunities and challenges of cybersecurity for information systems (IS) programs and proposes a curriculum structure of cybersecurity track for IS programs. The study has collected data from eighty-two course websites of thirteen institutions at the graduate level and sixteen institutions at the undergraduate level as well as twenty descriptions of cybersecurity jobs posted on the internet. The collected qualitative data has been analyzed from the from the perspective of IS education. The findings indicate that the topics of cybersecurity management and essential cybersecurity technology are relevant to the IS discipline. The article suggests that these topics can be the components of two cybersecurity courses offered by IS programs to meet the demands and challenges of cybersecurity.

Introduction: Tadpole tail develops from the tailbud, an apparently homogenous mass of cells at the posterior of the embryo. While much progress has been made in understanding the origin and the induction of the tailbud, the subsequent outgrowth and differentiation have received much less attention, particularly with regard to global gene expression changes. Methods: By using RNA-seq with SMRT and further analyses, we report the transcriptome profiles at four key stages of tail development, from a small tailbud to the onset of feeding (S18, S19, S21 and S28) in Microhyla fissipes, an anuran with a number of advantages for developmental and genetic studies. Results: We obtained 48,826 transcripts and discovered 8807 differentially expressed transcripts (DETs, q < 0.05) among these four developmental stages. We functionally classified these DETs by using GO and KEGG analyses and revealed 110 significantly enriched GO categories and 6 highly enriched KEGG pathways (Protein digestion and absorption; ECM-receptor interaction; Pyruvate metabolism; Fatty acid degradation; Valine, leucine and isoleucine degradation; and Glyoxylate and dicarboxylate metabolism) that are likely critically involved in developmental changes in the tail. In addition, analyses of DETs between any two individual stages demonstrated the involvement of distinct biological pathways/GO terms at different stages of tail development. Furthermore, the most dramatic changes in gene expression profile are those between S28 and any of the other three stages. The upregulated DETs at S28 are highly enriched in “myosin complex” and “potassium channel activity”, which are important for muscle contraction, a critical function of the tail that the animal needs by the end of embryogenesis. Additionally, many DETs and enriched pathways discovered here during tail development, such as HDAC1, Hes1 and Hippo signaling pathway, have also been reported to be vital for the tissue/organ regeneration, suggesting conserved functions between development and regeneration. Conclusion: The present staudy provides a golbal overview of gene expression patterns and new insights into the mechanism involved in anuran tail development and regeneration.

We consider a 2-layer quasi-geostrophic ocean model where the upper layer is forced by a steady Kolmogorov wind stress in a periodic channel domain, which allows to mathematically study the nonlinear development of the resulting flow. The model supports a steady parallel shear flow as a response to the wind stress. As the maximal velocity of the shear flow (equivalently the maximal amplitude of the wind forcing) exceeds a critical threshold, the zonal jet destabilizes due to baroclinic instability and we numerically demonstrate that a first transition occurs. We obtain reduced equations of the system using the formalism of dynamic transition theory and establish two scenarios which completely describe this first transition. The generic scenario is that two modes become critical and a Hopf bifurcation occurs as a result. Under an appropriate set of parameters describing midlatitude oceanic flows, we show that this first transition is continuous: a supercritical Hopf bifurcation occurs and a stable time periodic solution bifurcates. We also investigate the case of double Hopf bifurcations which occur when four modes of the linear stability problem simultaneously destabilize the zonal jet. In this case we prove that, in the relevant parameter regime, the flow exhibits a continuous transition accompanied by a bifurcated attractor homeomorphic to S 3. The topological structure of this attractor is analyzed in detail and is shown to depend on the system parameters. In particular, this attractor contains (stable or unstable) time-periodic solutions and a quasi-periodic solution.

Knowledge management (KM) is a tool to tackle cybersecurity issues, provided it emphasizes on the interrelated social, organizational, and technological factors involved in cybersecurity. This paper proposes a sociotechnical systems analysis framework of KM systems for cybersecurity. Specifically, it applies a sociotechnical systems approach to investigation of constructs of KM systems for cybersecurity and identifies five major constructs of KM systems for cybersecurity: roles of KM in cybersecurity, organizational framework of KM for cybersecurity, cybersecurity analytics process, tools of KM for cybersecurity, and system architecture of KM for cybersecurity. The five constructs in the proposed sociotechnical systems analysis framework are analyzed. The paper makes contribution to the growing information systems literature by presenting a special case of sociotechnical systems analysis. The sociotechnical systems analysis framework provides guidelines for the development of KM systems for cybersecurity in organizations.

This article conceptualizes four business models for sustainable open education resources (OER) at four levels: the social level, the education institutional level, the OER community level, and the individual faculty member level. The business model at each of the four levels has its application realm. At the social level, social benefits of OER are the central motivation of the OER movement. At the institutional level, education institutions are facing challenges of student enrollment increase. At the OER community operational level, communities of practice must be established. At the individual faculty member level, the key players of OER must take effective actions for OER. Sustainable OER can be achieved only when the stakeholders at the four levels collaborate towards the common objective of sustainable value creation. The comprehensive set of business models can be used for all parties involved in OER to define and implement strategies for sustainable OER. The article also provides recommendations for future research into tests of the conceptualized business models for sustainable OER.