China has two separate systems engaged in library and information work. They have their own organizations, functions and tasks under their respective government departments. In…
Abstract
China has two separate systems engaged in library and information work. They have their own organizations, functions and tasks under their respective government departments. In China one of the major problems is that documents are not widely available. There is an obvious gap between the demands of users and their satisfaction. In view of China's present situation, interlending activities alone cannot cope completely with the problem of Chinese information needs. In the new situation following China's economic reformation, the structure of Chinese information users has greatly changed. To meet the increasing needs of the Chinese people, library and information systems must improve their methods of service and augment the scope of their service. Viewed as a whole, China needs to set up a nationwide document supply system in order to promote the supply of literature and the dissemination of information. The system may take a hierarchical form in which a number of regional systems are involved. Under the leadership of a central system, services would be provided not only to major scientific research and production and construction projects, but also to the general public at all levels of the country.
In this paper I shall try to define the ‘world information industry’, and to outline its present situation.
Minjuan Zhao, Runsheng Yin, Liuyang Yao and Tao Xu
– The purpose of this paper is to assess how spatial heterogeneity and production diversification have affected the efficiency of households participating in the SLCP.
Abstract
Purpose
The purpose of this paper is to assess how spatial heterogeneity and production diversification have affected the efficiency of households participating in the SLCP.
Design/methodology/approach
Based on household survey data collected from three sample counties in the Loess Plateau region, the paper analyzes how spatial heterogeneity and business diversification have affected the production efficiency of households participating in the SLCP. Using four-step bootstrap, input stochastic distance frontiers of multi-inputs and multi-outputs are developed simultaneously with a technical efficiency effects model in which participating in the SLCP is treated as an exogenous variable.
Findings
The household production in the three counties is constrained by land, labor, capital, and fixed inputs; thus, it is germane to using a multi-input and multi-output household production technology to evaluate the SLCP. However, the relative importance of each input and output, the productive diversification, and the technological structure are differentiated in the three counties; estimating the regression with pooled data appears to conceal the influences of local factors and blur the specific divergence, compared to running county-based, separate regressions.
Research limitations/implications
The effects of the SLCP on farm household production are location dependent. It is necessary to include spatial heterogeneity within public policy evaluation. In addition to suggesting localized and differentiated schemes of subsidy, this implies that the government may provide means to facilitate different regions to make the economic transition.
Originality/value
This paper intends to make two contributions. First, the analysis will capture and explain the adjustments induced by the SLCP in off-farm and other activities for entire household production, and special attention is given to the diversification of household production outputs. Second, this analysis sheds new light to the significance of spatial differentiation in mediating the effectiveness of a public policy or program.
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Arshad Ahmad Khan, Sufyan Ullah Khan, Muhammad Abu Sufyan Ali, Aftab Khan, Yousaf Hayat and Jianchao Luo
The main aim of this study is to investigate the impact of climate change and water salinity on farmer’s income risk with future outlook mitigation. Salinity and climate change…
Abstract
Purpose
The main aim of this study is to investigate the impact of climate change and water salinity on farmer’s income risk with future outlook mitigation. Salinity and climate change are a threat to agricultural productivity worldwide. However, the combined effects of climate change and salinity impacts on farmers' income are not well understood, particularly in developing countries.
Design/methodology/approach
The response-yield function and general maximum entropy methods were used to predict the impact of temperature, precipitation and salinity on crop yield. The target minimization of total absolute deviations (MOTAD)-positive mathematical programming model was used to simulate the impact of climate change and salinity on socioeconomic and environmental indicators. In the end, a multicriteria decision-making model was used, aiming at the selection of suitable climate scenarios.
Findings
The results revealed that precipitation shows a significantly decreasing trend, while temperature and groundwater salinity (EC) illustrate a significantly increasing trend. Climate change and EC negatively impact the farmer's income and water shadow prices. Maximum reduction in income and water shadow prices was observed for A2 scenario (−12.4% and 19.4%) during 2050. The environmental index was the most important, with priority of 43.4% compared to socioeconomic indicators. Subindex amount of water used was also significant in study area, with 28.1% priority. The technique for order preference by similarity to ideal solution ranking system found that B1 was the best climatic scenario for adopting climate change adaptation in the research region.
Originality/value
In this study, farmers' income threats were assessed with the aspects of different climate scenario (A1, A1B and B1) over the horizons of 2030, 2040 and 2050 and three different indicators (economic, social and environmental) in Northwestern region of Pakistan. Only in arid and semiarid regions has climate change raised temperature and reduced rainfall, which are preliminary symptoms of growing salinity.
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Tao Wei, Sijin Zhao, Zongzhan Gao, Ke Zhang, Wenxuan Gou and Yangfan Dang
Fatigue and creep are the key factors for the failure of polymethyl methacrylate (PMMA) in the engineering structure, so a great of quantity attention is focused on the life…
Abstract
Purpose
Fatigue and creep are the key factors for the failure of polymethyl methacrylate (PMMA) in the engineering structure, so a great of quantity attention is focused on the life prediction under the creep and fatigue conditions. This paper aims to mainly summarize the traditional life assessment method (S–N curve), life assessment method based on crazing density and life assessment method based on transmittance. S–N curve and classical creep curve are introduced on the traditional life assessment method; the variation of the craze density with the logarithm of cyclic numbers is given in different fatigue load. A linear relationship is obtained, and a higher stress leads to a higher slope, suggesting a faster growth of craze. Furthermore, a craze density model is purposed to describe this relationship; the variation of craze density with the time at different creep load is given. The craze density has two obvious stages. At the first stage, craze density ranged from approximately 0.02 to 0.17, and a linear relationship is obtained. In the following stage, a nonlinear relationship appears till specimen rupture, a new creep life model is proposed to depict two stages. The relationship between transmission and time under creep load is shown. With increasing of time, the transmittance shows a nonlinear decrease. Through polynomial nonlinear fitting, a relationship between the transmittance and residual life can be obtained. To provide reference for the life assessment of transparent materials, the paper compares three life assessment methods of PMMA.
Design/methodology/approach
This paper uses the traditional life assessment method (S–N curve), life assessment method based on crazing density, life assessment method based on transmittance.
Findings
The variation of the craze density with the logarithm of cyclic numbers is given in different fatigue loads. A linear relationship is obtained, and a higher stress leads to a higher slope, suggesting a faster growth of craze. Furthermore, a craze density model is proposed to describe this relationship, and the variation of craze density with the time at different creep loads is given. The craze density has two obvious stages. The relationship between transmission and time under creep load is shown. With increasing of time, the transmittance shows a nonlinear decrease. Through polynomial nonlinear fitting, a relationship between the transmittance and residual life can be obtained.
Originality/value
Fatigue and creep are the key factors for the failure of PMMA in the engineering structure, so a great of quantity attention is focused on the life prediction under the conditions of creep and fatigue. This paper mainly summarizes traditional life assessment method (S–N curve), life assessment method based on crazing density and life assessment method based on transmittance.
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Lan Xu, Shuangshuang Zhao, Quan Chen, Nan Cui and Jingting He
Augmented reality (AR), an innovative interactive technology that can realize the synchronization and integration of virtual and reality, has been widely used in commodity…
Abstract
Purpose
Augmented reality (AR), an innovative interactive technology that can realize the synchronization and integration of virtual and reality, has been widely used in commodity displays and museum exhibitions. However, few studies have examined the effectiveness of AR-based product display in the context of historically cultural and creative product (HCCP) marketing. This study aims to focus on whether and how the application of AR technology to the HCCP display will influence consumers’ product evaluation.
Design/methodology/approach
This study uses three experiments to examine the impact of an AR-based product display on consumers’ evaluation of HCCPs. In experiments 1 and 2, the researchers compared the consumer’s evaluation of HCCPs under the AR-based product display condition and two other display conditions (i.e. 3D model display and photographic display) and examined the mediating role of perceived authenticity in the evaluation process. Experiment 3 tested the moderating effect of the availability of artistic detail information on weakening the negative impact of AR-based product display on the evaluation of HCCPs.
Findings
This study found that using AR-based displays harms consumers’ evaluation of HCCPs by impairing perceived authenticity. The spatial-temporal cues of real-time circumstances impede consumers’ processing of the historical attributes of the product. The dynamic AR-based display makes it hard for consumers to build the product’s connection with historical prototypes. Thus, consumers’ perception of the authenticity of HCCP is reduced. Providing artistic details during the presentation makes artistic attributes more prominent than historical attributes, allowing consumers to pay more attention to the sensory experience caused by the artistic design instead of the spatial-temporal cues of the product. At this point, the negative impact of AR-based product display on the evaluation of HCCPs will be attenuated.
Originality/value
First, this study shows the adverse effects of AR-based product displays in the field of HCCP marketing. AR-based product display degrades product evaluations when the displayed product has historical attributes. Second, this study extends the perceived authenticity theory to the technological experience context and establishes a theoretical connection with the AR literature. Third, this study explores the multiple characteristics of HCCPs. The historical attributes are the central attribute of HCCPs, leading consumers to perceive lower sense of authenticity due to the conflict with real-time spatiotemporal cues risen from the AR-based display. However, the artistic attributes, which are beyond the limitation of time and space, will attenuate this conflict when they become prominent.
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Zijie Niu, Aiwen Zhan and Yongjie Cui
The purpose of this study is to test a chassis robot on rugged road cargo handling.
Abstract
Purpose
The purpose of this study is to test a chassis robot on rugged road cargo handling.
Design/methodology/approach
Attitude solution of D-H series robot gyroscope speed and acceleration sensor.
Findings
In identical experimental environments, hexapodal robots experience smaller deviations when using a four-footed propulsive gait from a typical three-footed gait for forward motion; for the same distance but at different speeds, the deviation basically keeps itself within the same range when the robot advances forward with four-foot propulsive gait; because the foot slide in the three-footed gait sometimes experiences frictions, the robot exhibits a large gap in directional deviations in different courses during motion; for motion using a four-footed propulsive gait, there are minor directional deviations of hexapodal robots resulting from experimental errors, which can be reduced through optimizing mechanical structures.
Originality/value
Planning different gaits can solve problems existing in some typical gaits. This article has put forward a gait planning method for hexapodal robots moving forward with diverse gaits as a redundant multifreedom structure. Subsequent research can combine a multiparallel-legged structure to analyze kinematics, optimize the robot’s mechanical structure and carry out in-depth research of hexapod robot gaits.
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Tingting Zhang, William Yu Chung Wang and David J. Pauleen
This paper aims to investigate the value of big data investments by examining the market reaction to company announcements of big data investments and tests the effect for firms…
Abstract
Purpose
This paper aims to investigate the value of big data investments by examining the market reaction to company announcements of big data investments and tests the effect for firms that are either knowledge intensive or not.
Design/methodology/approach
This study is based on an event study using data from two stock markets in China.
Findings
The stock market sees an overall index increase in stock prices when announcements of big data investments are revealed by grouping all the listed firms included in the sample. Increased stock prices are also the case for non-knowledge intensive firms. However, the stock market does not seem to react to big data investment announcements by testing the knowledge intensive firms along.
Research limitations/implications
This study contributes to the literature on assessing the economic value of big data investments from the perspective of big data information value chain by taking an unexpected change in stock price as the measure of the financial performance of the investment and by comparing market reactions between knowledge intensive firms and non-knowledge intensive firms. Findings of this study can be used to refine practitioners’ understanding of the economic value of big data investments to different firms and provide guidance to their future investments in knowledge management to maximize the benefits along the big data information value chain. However, findings of study should be interpreted carefully when applying them to companies that are not publicly traded on the stock market or listed on other financial markets.
Originality/value
Based on the concept of big data information value chain, this study advances research on the economic value of big data investments. Taking the perspective of stock market investors, this study investigates how the stock market reacts to big data investments by comparing the reactions to knowledge-intensive firms and non-knowledge-intensive firms. The results may be particularly interesting to those publicly traded companies that have not previously invested in knowledge management systems. The findings imply that stock investors tend to believe that big data investment could possibly increase the future returns for non-knowledge-intensive firms.
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Qihua Cai, Yuchun Zhu and Qihui Chen
– The purpose of this paper is to examine the roles social networks play in households’ contribution to the provision of small hydraulic facilities (SHFs) in rural China.
Abstract
Purpose
The purpose of this paper is to examine the roles social networks play in households’ contribution to the provision of small hydraulic facilities (SHFs) in rural China.
Design/methodology/approach
This paper adopts a sample-selection ordered probit model (Greene and Hensher, 2010) to estimate the impacts of overall social-network intensity, of the number of strong ties (relatives), and of the number of weak ties (friends), using data on 1,064 representative households collected from three provinces (Inner Mongolia, Ningxia, and Shandong).
Findings
The numbers of strong ties and weak ties both have significant impacts on households’ willingness to contribute to SHFs provision, but only the latter has a significant impact on their level of contribution. More specifically, a one standard deviation increase in the number of weak ties (i.e. friends) is associated with a 6.6 percent increase in households’ propensity of contributing more than 550 yuan and a 8.2 percent decrease in their propensity of contributing less than 100 yuan.
Originality/value
This paper is the first to examine the impacts of social networks on households’ contribution to SHFs provision in rural China. Its finding is of great policy relevance-fostering and maintaining social networks (e.g. through rural cooperatives) can significantly increase households’ contribution to public-good provision.
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Hongyu Ma, Yongmei Carol Zhang, Allan Butler, Pengyu Guo and David Bozward
China has a new rural revitalization strategy to stimulate rural transformation through modernizing rural areas and resolving their social contradictions. While social capital is…
Abstract
Purpose
China has a new rural revitalization strategy to stimulate rural transformation through modernizing rural areas and resolving their social contradictions. While social capital is recognized as an important element to rural revitalization and entrepreneurship, research into the role of psychological capital is less developed. Therefore, this paper assesses the impact of both social and psychological capital on entrepreneurial performance of Chinese new-generation rural migrant entrepreneurs (NGRMEs) who have returned to their homes to develop businesses as part of the rural revitalization revolution.
Design/methodology/approach
Based on a survey, data were collected from 525 NGRMEs in Shaanxi province. This paper uses factor analysis to determine variables for a multiple linear regression model to investigate the impacts of dimensions of both social capital and psychological capital on NGRMEs’ entrepreneurial performance.
Findings
Through the factor analysis, social capital of these entrepreneurs consists of five dimensions (reputation, participation, networks, trust and support), psychological capital has three dimensions (innovation and risk-taking, self-efficacy and entrepreneurial happiness) and entrepreneurial performance contains four dimensions (financial, customer, learning and growth, and internal business process). Furthermore, the multiple linear regression model empirically verifies that both social capital and psychological capital significantly influence and positively correlate with NGRMEs' entrepreneurial performance.
Originality/value
This study shows the importance of how a mixture of interrelated social and psychological dimensions influence entrepreneurial performance that may contribute to the success of the Chinese rural revitalization strategy. This has serious implications when attempting to improve the lives of over 100 million rural Chinese citizens.