Impact of Team Attitude and Behavior on IS Project Success

Although the success rate of information systems (IS) projects has increased over the past two decades, the result is still far from satisfactory. To improve IS project success rate, this study proposes a research model to examine IS project performance from a team attitude and behavior perspective. A total of 91 IS projects were collected by an online survey from CIOs/CTOs/IT professionals. The collected data were analyzed by using AMOS 7.0. We found, via hypotheses testing, that (1) A project team’s goal commitment is positively related to its teamwork quality, (2) A project team’s goal commitment is positively related to IS project success, and (3) A project team’s teamwork quality is positively related to IS project success. Managerial implications to IS project practitioners were discusse

Wages and Access to International Markets: Evidence from Urban China

Using China Household Income Project Survey (2002) data, this paper addresses the causal relationship between individual wages and access to international markets. The ordinary least squares estimates show statistically insignificant and quantitatively zero effects of accessibility to international markets proxied by the length of contemporary transport routes connecting the origin city and its nearest major seaport. However, using prefecture-level population density in 1820 as exogenous variation in current transport routes, the two-stage least squares regressions provide an opposite picture indicating that every 1 percent increase in distance from the origin city to international markets (i.e. the nearest seaport), ceteris paribus, has a negative impact on individual wages of 0.086 percent. This causal effect remains robust to various sensitivity tests which include current labor market structure, historical factor endowments and initial population development

Developing Individual Dynamic Capabilities by Social Media: A empirical Investigation

Nowadays, we are in the midst of another social-technical revolution stimulated by the interaction between the human desire for efficiency and connectivity. During such revolution, the pace of life and work are becoming increasingly fast and usually erratic. Therefore, people are required to be more responsive and effective in dealing with changes happening in their lives. Social media are the predominant online offerings created in such revolution for fulfilling people’s needs of shaping social relationships. Besides serving users’ socialization purposes, social media have also rapidly changed the way individuals interact with others and even the way of learning, thinking and working. With the comprehensive use of various social media, individuals can perform information processing (e.g., information acquisition, assimilation and sharing) and external representation (e.g., shaping relationship, coordination and conflicts solution) more easily and frequently, which may further help them to develop their personal capabilities in dealing with changeable environments. However, there is limited research and empirical evidence regarding the bright sides of the diverse use of social media on the development of users’ individual capabilities in coping with dynamic environmental changes. Drawing upon the theories of media system dependency, boundary spanning and dynamic capability, this study thereby proposes that the comprehensive use of social media can be transformed into an individual’s dynamic capabilities through two important mechanisms: information processing and external representation. This study contributes to the literature by revealing how individuals can better deal with changing environments in the social media era and establishing the conceptualization and operationalization of individual dynamic capabilities

Impact of Payment Technology Innovations on the Traditional Financial Industry: A Focus on China

With the rapid advent of e-commerce in China, the technological innovation of third-party payment has experienced explosive growth. This important technological innovation, initiated by emerging Internet companies, is helping the traditional financial industry\u27s payment business-represented by commercial banks-expand in both depth and breadth. Meanwhile, there is also a large degree of substitution, competition and crowding out among these banks in terms of the traditional financial industry\u27s basic payment and settlement functions, potential customers, deposit and loan services and traditional intermediary business. This paper explores the impact (episodic and long-term steady-state) of the technological innovation of payment on commercial banks. It also considers the impact of technological innovation on industrial evolution to clarify whether technological innovation offsets the advantages of traditional industries or promotes industrial development. This study adopts the Vector Auto-Regression (VAR) impulse response model to analyze the impact of Internet Third-Party Payment (TPP) on the traditional financial industry from 2007 to 2014. The empirical results suggest that in China, third-party payments have had a significant positive correlation with the value creation capabilities of traditional financial industries, and that this relationship tends to remain in a steady state in the long term. Based on these findings, this paper confirms that the technological innovation of methods of payment in emerging economies, such as China, has promoted the development of the financial industry and accelerated the process of industrial evolution. We conclude the paper with feasible policy suggestions

A bead sequence-driven deposition pattern evaluation criterion for lowering residual stresses in additive manufacturing

Deposition patterns can significantly influence the distribution and magnitude of residual stress in additively manufactured parts. Time-consuming thermal-mechanical simulations and costly experimental studies are often required to identify the optimal patterns. A simple and generic method to evaluate and optimize the deposition pattern for the purpose of minimizing residual stress is in urgent need. To overcome the shortcomings of the current practice, here we propose a novel pattern evaluation criterion. Starting from the discretization of the deposition pattern by a series of sequence numbers, we introduce two interconnected concepts. The first is called “equivalent bead sequence number” which can be physically interpreted as an index of the localized heat accumulation induced by the deposition process. Based on this point-wise “equivalent bead sequence number”, the second concept called “bead sequence number dispersion index” which can be considered as a representation of the global heat accumulation gradient, is proposed as a criterion for assessing the resulting residual stress. The temperature fields and residual stresses of a square part with six typical deposition patterns predicted by thermo-mechanical finite element simulations are used to develop and verify the proposed criterion. It is found that the “equivalent bead sequence number” of a given pattern is closely correlated to the distribution of the associated temperature and residual stress. More interestingly, both the highest equivalent and highest maximum principal residual stress of a pattern linearly increase with its corresponding value of “bead sequence number dispersion index”. Guided by this relation, two new patterns with lower residual stress are developed and evaluated. Among all the patterns considered, the so-called S pattern shows the lowest value of the “bead sequence number dispersion index” which corresponds to the lowest residual stress. The proposed sequence-driven approach provides a new candidate for real-time evaluation and optimization of the deposition pattern in additive manufacturing.publishedVersio

Metal‐Organic Frameworks and their Applications in Hydrogen and Oxygen Evolution Reactions

The hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) play a vital role in many energy storage and conversion systems, including water splitting, rechargeable metal‐air batteries, and the unitized regenerative fuel cells. The noble‐metal catalysts based on Pt, Ir, and Au are the best electrocatalysts for the HER/OER, but they suffer from high price and scarcity problems. Therefore, it is urgently necessary to develop efficient, low‐cost, and environment‐friendly non‐noble metal electrocatalysts. Metal‐organic frameworks (MOFs) are crystalline materials with porous network structure. MOFs possess various compositions, large specific surface area, tunable pore structures, and they are easily functionalized. MOFs have been widely studied and applied in many fields, such as gas adsorption/separation, drug delivery, catalysis, magnetism, and optoelectronics. Recently, MOFs‐based electrocatalysts for HER/OER have been rapidly developed. These MOFs‐based catalysts exhibit excellent catalytic performance for HER/OER, demonstrating a promising application prospect in HER/OER. In this chapter, the concept, structure, category, and synthesis of MOFs will be first introduced briefly. Then, the applications of the MOFs‐based catalysts for HER/OER in recent years will be discussed in details. Specially, the synthesis, structure, and catalytic performance for HER/OER of the MOFs‐based catalysts will be emphatically discussed