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Both geometric and non-geometric parameters have noticeable influence on the absolute positional accuracy of 6-dof articulated industrial robot. This paper aims to enhance it and improve the applicability in the field of flexible assembling processing and parts fabrication by developing a more practical parameter identification model.

The model is developed by considering both geometric parameters and joint stiffness; geometric parameters contain 27 parameters and the parallelism problem between axes 2 and 3 is involved by introducing a new parameter. The joint stiffness, as the non-geometric parameter considered in this paper, is considered by regarding the industrial robot as a rigid linkage and flexible joint model and adds six parameters. The model is formulated as the form of error via linearization.

The performance of the proposed model is validated by an experiment which is developed on KUKA KR500-3 robot. An experiment is implemented by measuring 20 positions in the work space of this robot, obtaining least-square solution of measured positions by the software MATLAB and comparing the result with the solution without considering joint stiffness. It illustrates that the identification model considering both joint stiffness and geometric parameters can modify the theoretical position of robots more accurately, where the error is within 0.5 mm in this case, and the volatility is also reduced.

A new parameter identification model is proposed and verified. According to the experimental result, the absolute positional accuracy can be remarkably enhanced and the stability of the results can be improved, which provide more accurate parameter identification for calibration and further application.

Electrochromic window (ECW) has been gradually applied to building engineering in recent years. However, empirical study of this technology used in green building design is still lacking. This study aims to verify the lighting and energy-saving performance of ECW under a specific geographical environment.

The meditation pavilion of Jinwan new materials research institute in Zhuhai is taken for research object. Three kinds of sun-shading techniques, namely, ECW, Low-E window and ordinary glass window, with same specifications are selected as the building facade structure for simulation. Day lighting analysis, sun-shading performance and annual energy consumption are separately simulated in the same environment by the Autodesk Ecotect Analysis software. The energy-saving performance of ECW is obtained by comparisons.

Result shows that the shading performance of ECW is much better than ordinary window and Low-E window. When ECW is used in the east, west or top lighting interfaces of a building, about 40% of the total solar radiation can be reduced during daytime in summer. Taking the ordinary glass window as a basic reference, ECW can save about 90% of the annual energy consumption of the glass house. ECW can effectively reduce the annual refrigeration energy consumption of buildings in the subtropical region.

Reasonable use of ECW in the subtropical region can effectively reduce the annual energy consumption of buildings.

It is a precedent study to analyze the lighting performance and energy consumption of a glass house with ECW. The energy-saving characteristics and beautiful appearance of ECW shall make it a future green building technology.

Big data is a key component to realise the vision of smart factories, but the implementation and usage of big data analytical tools in the smart factory context can be fraught with challenges and difficulties. The purpose of this paper is to identify potential barriers that hinder organisations from applying big data solutions in their smart factory initiatives, as well as to explore causal relationships between these barriers.

The study followed an inductive and exploratory nature. Ten in-depth semi-structured interviews were conducted with a group of highly experienced SAP consultants and project managers. The qualitative data collected were then systematically analysed by using a thematic analysis approach.

A comprehensive set of barriers affecting the implementation of big data solutions in smart factories had been identified and divided into individual, organisational and technological categories. An empirical framework was also developed to highlight the emerged inter-relationships between these barriers.

This study built on and extended existing knowledge and theories on smart factory, big data and information systems research. Its findings can also raise awareness of business managers regarding the complexity and difficulties for embedding big data tools in smart factories, and so assist them in strategic planning and decision making.

The purpose of this study is to empirically examine the effects of the numerical cues (NC) used in online review comments on perceived review helpfulness and the underlying psychological mechanisms.

An experimental design approach was employed to investigate the proposed research questions. Two experiments were conducted to test the hypotheses. Mplus 7 and Stata 14.0 were used for data analysis.

Empirical findings support the positive correlation between the presence of NC in online review comments and perceived review helpfulness across different product categories. This relationship is mediated by two psychological responses of consumers: cognitive elaboration and credibility perception.

This research adds to the existing literature by focusing on the value of NC in online review comments and how they can enhance perceived review helpfulness. Some practical implications are also addressed. For example, marketers can encourage consumers to post reviews that contain quantitative information to facilitate their target markets' comprehension of a product or brand.

Building on the previous literature, the work adds incremental knowledge on the role NC in online review comments play in affecting consumers' perceptions. In addition, the research uncovers the underlying psychological responses that mediate the relationship between NC in review comments and perceived review helpfulness.

The purpose of this paper is to explore the relationship between different mechanisms for integrating national archival resources, leading to the development of a knowledge management-based framework for facilitating the optimal utilization of national archives resources in China.

The study adopts a mixed-methods approach consisting of a review of existing mechanisms for integrating national archival resources and site visits and interviews for investigating the effectiveness of these mechanisms in real world practices for managing and utilizing national archives resources in China.

The knowledge management-based framework is shown to be useful for building interdependence, interconnections and interactions between diversified integration mechanisms to meet national, societal and public needs in China. The framework is significant for rearranging the role of knowledge management in collaboration to protect the value of national archives resources as the knowledge asset of a state. It can reengineer the knowledge management activities in communication to share the value of national archives resources as the knowledge asset of a society. Furthermore, the framework can reconfigure knowledge management artifacts in connectivity to increase the value of national archives resources as the knowledge asset of the public.

The review of the related literature is selective rather than comprehensive, and the interviews are based on a self-selected convenience sample, which is rather skewed demographically.

The proposed framework can be used to guide the development of a national strategy for the effective integration of national archives resources to promote a better delivery of public-centric knowledge services in a specific society.

This study provides a knowledge management framework for the effective integration of national archives resources toward their optimal utilization. It contributes to the examination of the role of different integration mechanisms in interactive knowledge management processes and the advancement of academic debate on the effectiveness of these mechanisms for the integration of national archives resources to facilitate their optimal utilization in China.

This study aims to illuminate the currently poorly understood inflow of knowledge originating from project managers across the value chain of construction projects. The primary purpose is to identify the domains of knowledge that project managers’ need to share in their management activities, the skills they need to develop in their sharing practices and how these relate to each other across different phases of a construction project.

Knowledge domains, skills and the relationships between them were identified following an inductive methodology, a combination of grounded theory and case study, and through the analysis of semi-structured interviews with 21 project managers and participants within a single construction project.

The outcome is a novel framework that theorizes the dynamic interplay between knowledge domains and the skills that facilitate knowledge sharing (KS) for successful project work throughout the construction project.

The combined effects of task heterogeneity, knowledge interdependencies and temporariness require paying increased attention to how knowledge domains and KS skills impact project performance. This paper addresses gaps in developing an integrative understanding of the nature of the domains of knowledge that need to be shared in a project context, the key skills contributing to KS and more importantly, how they evolve and are interpreted and reinterpreted throughout the project and assist KS practice in projects.

This case explores how driver training school create experience value for their trainees. It describes the development of driver training industry, the foundation and new training mode of Rongan Driving School, changes and challenges of environment for Rongan facing and so on, which will guide readers to discuss six influence factors of customer experience, six dimensions of customer-experience value, the relationship between them, and the influence of social environment. Rongan's innovative training mode of “pay after learning, time-based billing, one car for one person”, provides a good training experience for driving trainees. It has become the benchmark of the national driving training industry within six years.

The purpose of this paper is to gain an in-depth understanding of the research progress, hotspots and future trends in the field of functional clothing.

The records of 4,153 pieces of literature related to functional clothing were retrieved from Web of Science by using a comprehensive retrieval strategy. A piece of software, CiteSpace was used as a tool to visualize the results of specific terms, such as author, institution and keyword. By analyzing the knowledge maps with several indicators, the intellectual basis and research fronts for the functional clothing domain could then be demonstrated.

The result indicated that functional clothing was a popular research field, with approximately 500 papers published worldwide in 2020. Its main research area was material science and involved public environmental and occupational health, engineering, etc. showing the characteristic of multi-interdisciplinary. Textile Research Journal and International Journal of Clothing Science and Technology were the top two journals in this field. The USA, China, Australia, England and Germany have been active and frequently cooperating with each other. Donghua University, the Hong Kong Polytechnic University and NASA, with the largest number of publications, were identified as the main research drivers. According to the co-citation analysis, thermal stress, nanogenerator and electrospinning were the topics of most cited articles during the past 20 years.

The findings identified smart clothing and protective clothing to be the research frontiers in the field of functional clothing, which deserved further study in the future.

The outcomes offered an overview of the research status and future trends of the functional clothing field. It could not only provide scholars with convenience in identifying research hotspots and building potential cooperation in the follow-up research, but also assist beginners in searching core scholars and literature of great significance.

This paper aims to develop a comprehensive concept map to guide adequate protection and effective management of personal information in the provision of networked services in China through comprehensively considering the multi-disciplinary perspective of personal information protection and management with respect to their multi-dimensional applications, multi-directional controls and multi-contextual analysis in today’s networked environments. There are different perspectives on what personal information protection and management is about, why and how personal information should be protected and managed in the literature. Little, however, is known about the relationships between these multiple perspectives and their implications to personal information protection and management in the real-world practice.

A multi-methods approach is adopted in the study, including a comprehensive review of the related literature, a content analysis of the relevant laws, polices, standards, a multi-cases study of the relevant network services providers and an online survey of the Chinese citizens who are the end-users of the networked services to adequately achieve the objective of this study. The concept map building technique is used as a tool for conducting the meta-synthesis of the findings from multiple data resources in the development of a comprehensive concept map for personal information protection and management.

This study rationalizes the importance of the identification of personal information for adequate protection and effective management. It identifies five perspectives on personal information protection and management, namely, law, economics, sociology, information technology and information resources management for their applications at the organizational level. Five types of personal information are identified in the study for protection and management, namely, identifiable personal information, personal identity information, personal moral right information, personal civil right and interest information and personal business and transaction information. An integrated approach consisting of risk control, security control and users control is proposed for personal information protection and management in the provision of networked services in China. The study shows that not enough attention has been paid to the personal information protection and management from multi-disciplinary perspectives with respect to their multi-dimensional applications, multi-directional controls and multi-contextual analysis in the literature. There is a lack of understanding of what, why and how personal information is protected and managed in real-world practices in China.

The investigation of the issues of personal information protection and management with respect to the relevant laws, polices, standards, networked services and organizations can lead to a better understanding of what, why and how personal information is protected and managed in real-world practices in China. The development of a comprehensive concept map for personal information protection and management can be used as an effective guideline for the formulation and implementation of appropriate strategies and policies in individual organizations for providing their stakeholders with quality-networked services in today’s highly connected network environment in China.

The paper is the first step of a comprehensive study on the protection and management of personal information for the provision of networked services in China. It provides a solid foundation for further research with respect to the personal information protection and management. It is the first of this kind of studies to answer the questions of what types of personal information needed to be protected, why and how they should be protected in conformity with laws, regulations, polices, standards and the needs of networked services and business activities of organizations.

In order to analyze the level of independent controllability and its evolution of high-end equipment manufacturing industry from Jiangsu Province, this article introduces the dual-excitation control line method to construct a comprehensive evaluation model for independent controllability.

Through the collection of information of high-end equipment manufacturing industry's independent and controllable capabilities on different indicators, the three aspects of advancement, autonomy and controllability, an empirical evaluation of 10 enterprises in the high-end equipment cluster in Jiangsu Province was conducted in terms of advancement, autonomy and controllability.

It effectively reveals the area and evolution characteristics of the “reward” and “punishment” of different indicators of each representative enterprise and reflects the development status and different characteristics of each representative enterprise on the three indicators. The research results provide decision-making guidance for enterprises in the management and control of advanced manufacturing systems with independent and controllable capabilities.

Existing research focuses on the evaluation of enterprises' independent controllability only on a single angle or index. This paper maps the dynamic evaluation problem of multiple time-point data to the evaluation problem of single time-point multi-index data and investigates the fluctuation of the performance of the same enterprise under different indexes, so as to comprehensively evaluate the independent controllable level of high-end equipment manufacturing industry and analyze the reasons. Further, this paper first establishes an evaluation index system of independent controllable level of high-end equipment manufacturing industry and quantitatively measures the advanced, independent, controllable and other aspects of typical enterprises in this industry by constructing a double incentive control line evaluation model.