Career growth study: scale development and validity test

The study structures and tests a four-dimensional structure model of career growth, and develops a measurement scale of career growth. Based on the reviewing and generalizing of the correlated literature, it analyzes the links and differences between career growth and other related concepts. The original data is acquired through interviews and semi-structured questionnaire. By reference to the related research scales, the initial career growth scale is made through several steps, including cataloguing, summarizing and revising. The formal scale is constructed through the research methods of the items analysis, exploratory factor test and so forth. Confirmatory factor analysis approach is adopted to verify the four- dimensional structure model of career growth. The results indicate that career growth is a four-dimension concept, including career goal progress, professional ability development, promotion speed and remuneration growth. Two directions for the future researches of career growth theory are put forward

Embodied Energy Use in China’s Infrastructure Investment from 1992 to 2007: Calculation and Policy Implications

Infrastructure has become an important topic in a variety of areas of the policy debate, including energy saving and climate change. In this paper, we use an energy input-output model to evaluate the amounts of China’s embodied energy use in infrastructure investment from 1992 to 2007. We also use the structure decomposition model to analyze the factors impacting the embodied energy use in infrastructure investment for the same time period. The results show that embodied energy use in infrastructure investment accounted for a significant proportion of China’s total energy use with an increasing trend and reflect that improper infrastructure investment represents inefficient use of energy and other resources. Some quantitative information is provided for further determining the low carbon development potentials of China’s economy

Direct and indirect energy consumption in China and the United States

Greenhouse gas reduction and energy consumption are becoming two important issues in both industrialized and developing countries, and policy makers are developing means to reduce total domestic energy use. We evaluate and compare the direct and the indirect energy consumption both in the People’s Republic of China (China) and the United States of America (US) by looking at a series of hybrid energy input-output tables (1997, 2002, and 2007). We also apply structural decomposition analysis (SDA), to identify the factors causing energy intensity (energy consumption per unit of gross domestic product) to differ between the two countries, which lead to potential energy-saving options. Our results show that, besides the differences in direct energy consumption, huge differences also exist in indirect energy consumption between the two countries. Differences in indirect energy consumption are mainly due to differences in technology. Technological change and industrial-structure change are key factors to explain the inequality of energy intensity, while there is a significant trend towards the convergence of sectorial energy efficiency between the two countries

Disrupting the Disruption: A Digital Learning HeXie Ecology Model

Broad societal disruptions (i.e., the industrial revolution, digitalisation, and globalisation) have created a need for an increasingly adaptive higher education system in recent decades. However, the response to these disruptions by universities has generally been slow. Most recently, online learning environments have had to be leveraged by universities to overcome the difficulties in teaching and learning due to COVID-19 restrictions. Thus, universities have had to explore and adopt all potential digital learning opportunities that are able to keep students and teachers engaged in a short period. This paper proposes a digital learning HeXie ecology model, which conceptualises elements and relationships pertaining to the societal need for a more agile and digitally resilient higher education system that is better placed to confront disruptive events (such as pandemics) and that is able to produce graduates who are well-equipped to deal with disruption and uncertainty more broadly. Specifically, we propose a digital learning ecology that emphasises the role of self-directed learning and its dynamic interaction between formal, informal, and lifelong learning across a five-level ecosystem: the microsystem, mesosystem, exosystem, macrosystem, and chronosystem. This study contributes to the theoretical literature related to flexible learning ecologies by adopting and incorporating the Chinese HeXie concept into such ecologies

A comparison research of enterprise employees' organizational behavior between industrial clusters and non-clusters

With the continuous development of industrial clusters, the employees' organizational behavior in clusters is experiencing some new changes.This paper investigated the industrial clusters and non-clusters in nine cities, including Shenzhen, Zhongshan, Hangzhou, Ningbo, Wuhan, Kunming, Zhengzhou, Luoyang and Fuzhou.It analyzed the variance of employees' perceived opportunities, career growth, organizational commitment and career commitment between industrial clusters and non-clusters.The results show employees in industrial clusters have high perceived opportunities and quick career growth, and have high commitment to their employers and their career.The study provides foundation for explaining why talent concentrates to industrial clusters and enterprises' human resource practice

A literature review of employees' career growth

In the boundaryless career era, people pay more attention on their own career growth, which has been seen as the significant standard of job choice and main goal in their whole career. This paper discriminated and generalized the concept of career growth, career development and career success. It reviewed the existing literature of career growth. At last, the future research trend was discussed

A Visual Measurement of Decision Consensus -An Idea Derived from GAE

It is widely known that the knowledge era has arrived that is changing our work and life styles. New network technology provides us valuable ways to solve the difficult and ambiguous problems. Design In GSS pattern, GAE integrates the frameworks of HWMSE and knowledge creating model to facilitate idea generation process, and it is regarded as a convergent process-idea generation which is the first step of MSA (meta-synthesis system approach) to complex problem solving. To enlarge the use of GAE, the evaluation values of experts’ keywords are added to illustrate both arguments and evaluation values on three-dimension snapshots, and based on the three-dimension snapshot, a two-dimension focuses snapshot is proposed to facilitate the decision process by focusing the discussing on the differences of the opinions, which may enhance the efficiency and effectiveness of decision. A measurement of decision consensus derived from GAE is also provided. At last, system realization will be expected later.The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.htmlIFSR 2005 : Proceedings of the First World Congress of the International Federation for Systems Research : The New Roles of Systems Sciences For a Knowledge-based Society : Nov. 14-17, 2112, Kobe, JapanSymposium 4, Session 5 : Meta-synthesis and Complex Systems Knowledge Creation and Transfe