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Sustainability-oriented projects are prevalent on crowdfunding platforms nowadays. The relationship between crowdfunding and sustainability has attracted the attention of many scholars. This study aims to examine the effects of perceived sustainability orientation on value-co-creation behavior from the perspective of backers and explore the mediation effects of three psychological factors: perceived affective reaction, perceived self-effectiveness and perceived risk.

The study recruits 455 backers to evaluate 100 projects on a crowdfunding platform. Structural equation modeling based on partial least squares is used to analyze data and test the hypotheses.

The results show that perceived sustainability orientation influences value-co-creation behavior through perceived affective reaction and self-effectiveness. Furthermore, perceived sustainability orientation impacts participation behavior through perceived risk.

Our study mainly focuses on sustainability-oriented and reward-based crowdfunding projects. Future research can examine other types of projects and other crowdfunding platforms.

These findings can provide implications for project creators to improve the values co-created with backers in future sustainability-oriented projects. Furthermore, the findings can provide implications for backers and help them evaluate crowdfunding projects.

The existing studies are mostly concerned with project creators’ perspectives. This paper is one of the few to investigate how a project’s sustainability orientation influences backers’ psychological factors and value-co-creation behavior.

Model's physical attractiveness plays an important role in online shopping. The purpose of this paper is to explore the relationships among model type, consumer's perceived amount of information and consumer's approach behaviour.

Construal level theory and anchoring effect are used to develop hypotheses. The authors conducted an online experiment in China, and 229 females participated in this experiment.

Compared with the professional model, the nonprofessional model triggers consumers' more perceived amount of information and approach behaviour. The latter effect is significantly enhanced in the website retailing context. Moreover, perceived amount of information positively affects approach behaviour.

The findings can help fashion brands understand the roles of model type and the online retailing context in consumer behaviour. It offers guidance on how to improve its marketing strategy scientifically. It can also provide consumers with suggestions for making objective purchasing decisions.

This study is one of the first to examine the effects of two model types (professional model or nonprofessional model) on consumers' perceived amount of information and approach behaviour within two online retailing contexts (website stores or webcast studio).

Grounded in upper echelon (UE) theory, this study aims to examine the role of managerial competencies (business experience, financial literacy and digital literacy) in sustainable development strategy, with resource management as a mediator.

The empirical data collection is conducted through a survey completed by 297 top management teams of small and medium-sized enterprises (SMEs) operating in Pakistan. Structural equation modelling in Smart PLS is used to substantiate the hypotheses.

The findings reveal that financially and digitally literate managers significantly contribute to the sustainable development strategies of SMEs. However, experienced managers do not focus significantly on sustainable development strategies. Resource management partially mediates the nexus between financial literacy and sustainable development strategy, as well as between digital literacy and sustainable development strategy. In contrast, resource management does not mediate the nexus between business experience and sustainable development strategy.

This study recommends that SMEs should prioritize managers with digital and financial literacy over those with experience. SMEs led by a management team with digital and financial literacy are more effective in resource management for sustainable development practices, whereas experienced managers may not significantly prioritize managing resources for sustainability.

While research based on the UE theory significantly contributes to the body of knowledge on sustainable development, the role of managerial competencies, particularly business experience, financial literacy and digital literacy, in sustainable development strategy via resource management is neglected. This research fills this gap in the context of UE theory and thereby enriches the literature.

How to model blind image deblurring that arises when a camera undergoes ego-motion while observing a static and close scene. In particular, this paper aims to detail how the blurry image can be restored under a sequence of the linear model of the point spread function (PSF) that are derived from the 6-degree of freedom (DOF) camera’s accurate path during the long exposure time.

There are two existing techniques, namely, an estimation of the PSF and a blind image deconvolution. Based on online and short-period inertial measurement unit (IMU) self-calibration, this motion path has discretized a sequence of the uniform speed of 3-DOF rectilinear motion, which unites with a 3-DOF rotational motion to form a discrete 6-DOF camera’s path. These PSFs are evaluated through the discrete path, then combine with a blurry image to restoration through deconvolution.

This paper describes to build a hardware attachment, which is composed of a consumer camera, an inexpensive IMU and a 3-DOF motion mechanism to the best of the knowledge, together with experimental results demonstrating its overall effectiveness.

First, the paper proposes that a high-precision 6-DOF motion platform periodically adjusts the speed of a three-axis rotational motion and a three-axis rectilinear motion in a short time to compensate the bias of the gyroscope and the accelerometer. Second, this paper establishes a model of 6-DOF motion and emphasizes on rotational motion, translational motion and scene depth motion. Third, this paper addresses a novel model of the discrete path that the motion during long exposure time is discretized at a uniform speed, then to estimate a sequence of PSFs.

This study investigates how employees' work- and social-related use of social media can individually and interactively render different impacts on employees' performance in the context of internal or external social media.

To test the research model in these two different contexts, the authors collected data from 392 internal social media users and 302 external social media users in the workplace.

The data suggest that the respondents' job performance can be enhanced when using internal social media for work-related purposes and using external social media for social-related purposes. Meanwhile, the interaction of work- and social-related use is positive for external social media but negative for internal social media on job performance. These findings highlight the significant distinction of social media use in the workplace.

First, this study contributes to the literature on the business value of IT by providing theoretical arguments on how companies can capitalize efforts to consider work-related use in combination with social-related use to create business value. Second, this research theorizes two distinct yet interacting views of social media use. The authors offer a more granular insight of the paths from work- and social-related use to employee performance instead of encapsulating social media use in a unitary concept and linking it simply and broadly to employee performance. Third, this research considers the interdependent effects of work- and social-related use on employee performance, and thus goes beyond the independent roles of these two types of social media use. Fourth, the authors find that the links from employees' work- and social-related use of social media to job performance vary in different contexts.

The purpose of this study is to use visual and inertial sensors to achieve real-time location. How to provide an accurate location has become a popular research topic in the field of indoor navigation. Although the complementarity of vision and inertia has been widely applied in indoor navigation, many problems remain, such as inertial sensor deviation calibration, unsynchronized visual and inertial data acquisition and large amount of stored data.

First, this study demonstrates that the vanishing point (VP) evaluation function improves the precision of extraction, and the nearest ground corner point (NGCP) of the adjacent frame is estimated by pre-integrating the inertial sensor. The Sequential Similarity Detection Algorithm (SSDA) and Random Sample Consensus (RANSAC) algorithms are adopted to accurately match the adjacent NGCP in the estimated region of interest. Second, the model of visual pose is established by using the parameters of the camera itself, VP and NGCP. The model of inertial pose is established by pre-integrating. Third, location is calculated by fusing the model of vision and inertia.

In this paper, a novel method is proposed to fuse visual and inertial sensor to locate indoor environment. The authors describe the building of an embedded hardware platform to the best of their knowledge and compare the result with a mature method and POSAV310.

This paper proposes a VP evaluation function that is used to extract the most advantages in the intersection of a plurality of parallel lines. To improve the extraction speed of adjacent frame, the authors first proposed fusing the NGCP of the current frame and the calibrated pre-integration to estimate the NGCP of the next frame. The visual pose model was established using extinction VP and NGCP, calibration of inertial sensor. This theory offers the linear processing equation of gyroscope and accelerometer by the model of visual and inertial pose.

The purpose of this paper is to predict news intent by exploring contextual and temporal features directly mined from a general search engine query log.

First, a ground-truth data set with correctly marked news and non-news queries was built. Second, a detailed analysis of the search goals and topics distribution of news/non-news queries was conducted. Third, three news features, that is, the relationship between entity and contextual words extended from query sessions, topical similarity among clicked results and temporal burst point were obtained. Finally, to understand the utilities of the new features and prior features, extensive prediction experiments on SogouQ (a Chinese search engine query log) were conducted.

News intent can be predicted with high accuracy by using the proposed contextual and temporal features, and the macro average F1 of classification is around 0.8677. Contextual features are more effective than temporal features. All the three new features are useful and significant in improving the accuracy of news intent prediction.

This paper provides a new and different perspective in recognizing queries with news intent without use of such large corpora as social media (e.g. Wikipedia, Twitter and blogs) and news data sets. The research will be helpful for general-purpose search engines to address search intents for news events. In addition, the authors believe that the approaches described here in this paper are general enough to apply to other verticals with dynamic content and interest, such as blog or financial data.

The purpose of this paper is to introduce a double-stator switched reluctance machine (DS-SRM) for electric vehicles (EVs) and to propose multi-mode operations for this machine.

Analysis of flux linkage distributions and torque characteristics using finite element method (FEM). Building a dynamic simulation model based on electromagnetic characteristics, mathematical equations and mechanical motion equations of the DS-SRM drive system. The paper proposes multi-mode operations (inner-stator excitation mode, outer-stator excitation mode and double-stator excitation mode) based on motor working regions. It also conducts simulation and experimental results to verify the effectiveness of the proposed multi-mode operations strategies and control schemes.

There is almost no electromagnetic coupling between the inner and outer stators due to the specially designed rotor structure and optimized windings polarity configuration. Analysis of flux linkage distributions and torque characteristics verified the independence of inner and outer stators. Proposal of multi-mode operations and corresponding control rules achieved the smooth switching between different modes.

The paper introduced the DS-SRM for EVs and proposed multi-mode operations, along with control rules, to optimize its performance. The specially designed rotor structure, optimized winding polarity configuration, and the proposed multi-mode operations contribute to the originality of the research.

This study aims to investigate the effectiveness of library services according to user experiences (UXs). The study discusses underlying internal problems existing in libraries that affect user satisfaction. Furthermore, it seeks to identify ways to improve the UX.

The methodology comprised a questionnaire administered at Nanjing University Library, China. The survey examined users’ satisfaction with the online public access catalogue, locating books on the shelves, and users’ participation in the organization of library resources. This study used the annual reading quantity of users system, a new system of measurement that distinguishes between informal and avid library users.

The data analysis indicated poor user satisfaction. The problems were mainly associated with the libraries’ resource organization, such as descriptive cataloguing, subject headings and classification, which is controlled by library administration. Moreover, users’ feedback is not integrated within the library system. Because of the process-oriented architecture of the current integrated library system, librarians and users do not communicate effectively. These barriers between users and the library staff members are difficult to overcome.

The study describes that the results relate to user satisfaction with searching and locating books based on the patron’s reading level. Differences were observed between light and avid readers in terms of satisfaction with the ease of searching and finding books. This demonstrates the internal connections of these results with library procedures. Furthermore, this study identifies improvement measures to resolve these problems.

Advances in information technology (IT) have resulted in the development of various computer‐mediated communication (CMC) and social networking tools. However, quantifying the benefits of utilizing these tools in the organizational context remains a challenge. In this study, the authors aim to investigate the effects of three specific tools, viz. instant messenger, email and knowledge forum, on facilitating the communication and social network at work, and their subsequent influence on individuals’ work performance. Together with a social network diagram, the proposed model is validated by a survey of 59 employees of a company which embeds these three CMC and social networking tools in the work process. The key findings, implications and future research are discussed.

The authors verify the research model with data from the Hong Kong office of an international bank headquartered in London, UK. They also collected the data on the social networks of 59 employees to draw a network diagram of the respondents using the social network analysis software UCINET.

The research model is fully supported by the survey data. Meanwhile, the social networks analysis also suggests the linkage of using IM at work and the high level of degree and high level of closeness.

This study provided an empirical verification of media performance theories, evidenced by interactive tools such as IM and email. This research also directly linked the elements of social network, viz. degree, closeness and betweenness, with the CMC and social network tools, the communication, interactivity, relationship, and work performance.