Search results

Drawing on the “Resource- Capability – Competitive advantage” framework within Natural Resource-Based View, this study is purposed to address problems of manufacturing companies “turning into the green” issues, providing references for manufacturing companies to achieve green competitive advantage via internal motivation and identity perspectives.

This study collected survey data from 112 Chinese manufacturing listed enterprises from the Shanghai Stock Exchange, and obtained 418 questionnaires. Following an empirical design, hierarchical regression analysis and Bootstrapping analysis were applied to examine these hypotheses.

Results show that green innovation behaviors positively mediate the positive relationship between organizational environmental identity and green competitive advantage. Furthermore, slack resource not only positively moderates the interaction effect between organizational environmental identity and green product innovation behaviors, but also moderates the mediation role of green product innovation behavior in the main effect.

The study is limited to the data samples and dynamic evolution between variables. More longitudinal designs and diverse enterprise fields will be considered in future.

The findings provide guidance for manufacturing enterprises to gain green competitive advantage in green manufacturing era from identity value origins. Moreover, the results provide practical suggestions for manufacturing enterprises to enhance green innovation behaviors and integrate useful but slack resources.

The findings provide implications for manufacturing industry to increase both the awareness of organizational environmental identity and green innovation behaviors, all of which helps promote the corporate environmental responsibility.

The study breaks the limitation of the existing literature which focuses on the influence of external push factors (e.g. environmental regulation), and bring new visions in constructing green competitive advantage in green manufacturing era, not only extending the identity theory and upper echelon theory, but also enriching the current studies on green management. Also, these findings provide deeper and new insights into risks and uncertain features of green manufacturing era, analyzing how polluted manufacturing enterprises obtain green competitive advantages through the mediating role of green innovation behaviors and the moderating role of slack resource.

Drawing on the pleasure-arousal-dominance (PAD) emotion model, the emotional states of consumers embedded in online reviews can be described through three dimensions, that is, pleasure, arousal and dominance, rather than only the one-dimensional positive and negative polarity, as in previous studies. Therefore, this study aims to explore the effect of online review emotion on perceived review helpfulness based on these three basic emotional dimensions.

A lexicon-based method is developed to analyze PAD emotions of online reviews from JD.com. The zero-inflated negative binomial regression is utilized to empirically validate the study hypothesis. The authors examine the influence of pleasure, arousal, dominance, emotion diversity and emotion deviation on review helpfulness, as well as the moderating effect of product type on the relationship between all independent variables and online review helpfulness.

The study results show that the pleasure emotion impairs the helpfulness of online reviews, while the arousal and dominance emotions have a positive impact. Moreover, the authors find that compared with search products, the effects of pleasure, arousal and dominance on perceived helpfulness are strengthened for experience products. However, the emotional diversity and emotional deviation have opposite effects on the helpfulness of search products and experience products. Additionally, the results show that dominance emotion plays a more important role in the interaction effect.

The empirical findings confirm the applicability of PAD in the online review context and extend the existing knowledge of the influence of review emotion on helpfulness. A feasible scheme for extracting PAD variables from Chinese text is developed. The study findings also have significant implications for reviewers, merchants and platform managers of e-commerce websites.

Online shopping has continued to grow in popularity, and the advance of internet technology has enhanced customers’ experiences. One technology online retailers have been using to increase sales is virtual try-on (VTO). The purpose of this paper is to investigate how such technology affects online consumers’ purchase decision process towards purchase intention, especially from an integration of utilitarian, hedonic and risk perspectives, by using advanced partial least square (PLS) approaches.

This study applied a web-based survey approach for data collection from online apparel retailing websites. The survey instrument was developed by adapting previously validated measurement items. The valid data collected were analysed using PLS with multi-group analyses. Advanced PLS techniques such as examination of discriminant validity using heterotrait-monotrait ratio, tests of out-of-sample prediction performance, and measurement invariance of composite models were applied.

The results of examining the proposed model reveal that customers’ attitude towards VTO technology can affect their intention to purchase a garment online, which is affected by perceived usefulness, perceived enjoyment and perceived privacy risk. Perceived ease of use is found to affect perceived usefulness and perceived helpfulness. The results also show no significant differences among age groups and genders in terms of the role of VTO technology in the full decision process towards online purchase intention.

This study enhances the understanding of the roles that VTO technology plays in consumers’ online purchase intention by providing an integrative view of its utilitarian value, hedonic value and risk. This study demonstrates the feasibility of applying advanced PLS techniques to investigate online consumer behaviour, particularly in the field of VTO application in online retailing. Implications for online retailers and designers of VTO technology are also derived from the findings.

In China the maturity of the industrial development has the demonstration and reference implications for how to achieve enterprises competitiveness among the developing industries in a country. With the development of globalization, how to improve the enterprises competitiveness has became a serious problem to be solved for Chinese enterprises. The management innovation is reasonable and appropriate to solve this problem. Compared with the independent innovation, adoptive management innovation has become the main way for enterprises to fulfill the management innovation and change the management styles under the open economy condition. The research strives to reveal the “black box” in the management innovation adoptive process and give an answer to a series of questions, such as “what is the role of entrepreneurs in management innovation adoptive process?”

Exploratory case study approach is taken to find the entrepreneurs' role in management innovation adoptive process of Chinese traditional industry.

This paper constructs the adoptive management innovation model from three dimensions, using exploratory case technique, which explores the key factors and mechanism of realizing management innovation adoption. Through the exploratory case analysis to verify the viewpoint which is proposed by the model: entrepreneurs played a leading role in the adoptive management innovation of non‐procedural process, and the role is the result of the mixed function of the external and internal environment. Entrepreneurs analyze and explore the new problems and opportunities, and their own experience and ability determine the cognition and explore degree towards these problems directly; entrepreneurs' integration ability of resources can be approved and accepted after the new practice has been proposed and become mature. Entrepreneur long‐term shaping on organizational resources determines whether the management innovations introduction would be really integrated into enterprise management system. The entrepreneur's typical behavior on “integration, learning and shaping” is the foundation and guarantee of adoptive management innovation, which have connective effect on adjacent stages.

The article describes Haier BPR process of adoptive management innovation and the adoptive management innovation mode, and analyzes the effect of entrepreneurs' role on adoptive management innovation of China's color TV industry. The Chinese color TV industry as the maturity industry has the demonstration and reference implications for how to achieve enterprises competitiveness in Chinese developing industries.

The color TV industry in China has become a mature industry. Its development demonstrates and provides reference implications for how developing industries within a country can achieve a technological leap. This paper aims to address this issue.

An exploratory case study approach is taken to find the key factors in the technological catch‐up of China's traditional industry.

In the study it is found that China's color TV industry, as a mature traditional industry, has four‐dimensional key factors affecting the catch‐up of technology in the flat‐panel stage: market; merger and acquisition; international cooperation innovation for patent; and the roles of internal reform. “Market” is the window of opportunity and challenge; “merger and acquisition” is the key factor for making the patent convert from external mode to internal mode by deviant‐track. The “international cooperation innovation for patent” is also a key factor to ensure achievement of technology catch‐up and sustainable technological innovation. The role of internal reform promoter is the key factor in the technological catch‐up process in which taking entrepreneur as the core.

The article describes Changhong's flat‐panel TV technology catch‐up mode, analyzes four‐dimensional key factors affecting the technology catch‐up of China's color TV industry; the Chinese color TV industry as mature industry; and discusses which developments have demonstrated how to achieve a technological leap in developing industries.

The purpose of this paper is to investigate the influence of social media on employees’ work performance, as well as the underlying mechanism for how they create value at work.

Based on media synchronicity and social capital theories, the authors propose that social media can foster employees’ social capital and subsequently facilitate knowledge transfer. Both social capital and knowledge transfer help promote work performance. Specifically, the authors adopt shared vision, network ties and trust to represent, respectively, the cognitive, structural and relational dimensions of social capital. The research model is tested using data collected from 379 Chinese working professionals.

The empirical results reveal that social media can promote the formation of employees’ social capital indicated by network ties, shared vision and trust, which, in turn, can facilitate knowledge transfer. Shared vision and knowledge transfer positively influence work performance. Although network ties and trust do not have a direct impact on work performance, the influence is partially mediated by knowledge transfer.

For organizations that wish to build knowledge networks in the workplace, connecting experts with various social media can effectively complement other knowledge management technology. Further, managers should encourage employees to consciously exploit the byproducts created via social media, e.g., social capital, to promote knowledge exchange.

The integration of media synchronicity and social capital theories offers a new theoretical lens and reasonable explanations for investigating communication performance. The research offers empirical evidence regarding how the influence of social media on work performance is transmitted through social capital and knowledge transfer. The authors quantify social media’s benefits for organizations, providing managers an impetus to deploy them in the workplace with optimistic expectation.

Compliant mechanism has been receiving a great interest in precision engineering. However, analytical methods involving their behavior analysis is still a challenge because there are unclear kinematic behaviors. Especially, design optimization for compliant mechanisms becomes an important task when the problem is more and more complex. Therefore, the purpose of this study is to design a new hybrid computational method. The hybridized method is an integration of statistics, numerical method, computational intelligence and optimization.

A tensural bistable compliant mechanism is used to clarify the efficiency of the developed method. A pseudo model of the mechanism is designed and simulations are planned to retrieve the data sets. Main contributions of design variables are analyzed by analysis of variance to initialize several new populations. Next, objective functions are transformed into the desirability, which are inputs of the fuzzy inference system (FIS). The FIS modeling is aimed to initialize a single-combined objective function (SCOF). Subsequently, adaptive neuro-fuzzy inference system is developed to modeling a relation of the main geometrical parameters and the SCOF. Finally, the SCOF is maximized by lightning attachment procedure optimization algorithm to yield a global optimality.

The results prove that the present method is better than a combination of fuzzy logic and Taguchi. The present method is also superior to other algorithms by conducting non-parameter tests. The proposed computational method is a usefully systematic method that can be applied to compliant mechanisms with complex structures and multiple-constrained optimization problems.

The novelty of this work is to make a new approach by combining statistical techniques, numerical method, computational intelligence and metaheuristic algorithm. The feasibility of the method is capable of solving a multi-objective optimization problem for compliant mechanisms with nonlinear complexity.

There has been increasing interest in the development of printable electronics to meet the growing demand for low‐cost, large‐area, miniaturized, flexible and lightweight devices. The purpose of this paper is to discuss the electronic applications of novel printable materials.

The paper addresses the utilization of polymer nanocomposites as it relates to printable and flexible technology for electronic packaging. Printable technology such as screen‐printing, ink‐jet printing, and microcontact printing provides a fully additive, non‐contacting deposition method that is suitable for flexible production.

A variety of printable nanomaterials for electronic packaging have been developed. This includes nanocapacitors and resistors as embedded passives, nanolaser materials, optical materials, etc. Materials can provide high‐capacitance densities, ranging from 5 to 25 nF/in², depending on composition, particle size, and film thickness. The electrical properties of capacitors fabricated from BaTiO₃‐epoxy nanocomposites showed a stable dielectric constant and low loss over a frequency range from 1 to 1,000 MHz. A variety of printable discrete resistors with different sheet resistances, ranging from ohm to Mohm, processed on large panels (19.5×24 inches) have been fabricated. Low‐resistivity materials, with volume resistivity in the range of 10⁻⁴‐10⁻⁶ ohm cm, depending on composition, particle size, and loading, can be used as conductive joints for high‐frequency and high‐density interconnect applications. Thermosetting polymers modified with ceramics or organics can produce low k and lower loss dielectrics. Reliability of the materials was ascertained by (Infrared; IR‐reflow), thermal cycling, pressure cooker test (PCT) and solder shock testing. The change in capacitance after 3× IR‐reflow and after 1,000 cycles of deep thermal cycling between −55°C and +125°C was within 5 per cent. Most of the materials in the test vehicle were stable after IR‐reflow, PCT, and solder shock.

The electronic applications of printable, high‐performance nanocomposite materials such as adhesives (both conductive and non‐conductive), interlayer dielectrics (low‐k, low‐loss dielectrics), embedded passives (capacitors and resistors), and circuits, etc.. are discussed. Also addressed are investigations of printable optically/magnetically active nanocomposite and polymeric materials for fabrication of devices such as inductors, embedded lasers, and optical interconnects.

A thin film printable technology was developed to manufacture large‐area microelectronics with embedded passives, Z‐interconnects and optical waveguides, etc. The overall approach lends itself to package miniaturization because multiple materials and devices can be printed in the same layer to increase functionality.

This paper aims to improve the kinematic modeling accuracy of a spatial three-degrees-of-freedom compliant micro-motion parallel mechanism by proposing a modified modeling method based on the structural matrix method (SMM).

This paper analyzes the problem that the torsional compliance equation of the circular notched hinge is no longer applicable because it is subject to bilateral restrained torsion. The torsional compliance equation is modified by introducing the relative length coefficient. The input coupling effect, which is often neglected, is considered in kinematic modeling. The symbolic expression of the input coupling matrix is obtained. Theory, simulation and experimentation are presented to show the validity of the proposed kinematic model.

The results show that the proposed kinematics model can improve the modeling accuracy by comparing the theoretical, finite element method (FEM) and experimental method.

This work provides a feasible scheme for CMPM kinematics modeling. It can be better applied to the optimization design based on the kinematic model in the future.