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The purpose of this paper is to examine the evolution of collaboration among researchers in Library Hi Tech based on the co-authorship network analysis.

The Library Hi Tech publications were retrieved from Web of Science database between 2006 and 2017. Social network analysis based on co-authorship was analyzed by using BibExcel software and a visual knowledge map was generated by Pajek. Three important social capital indicators: degree centrality, closeness centrality and betweenness centrality were calculated to indicate the co-authorship. Cohesive subgroup analysis which includes components and k-core was then applied to show the connectivity of co-authorship network of Library Hi Tech.

The results indicated that around 42 percent of the articles were written by single author, while an increasing trend of multi-authored articles suggesting the collaboration among researchers in librarian research field becomes popular. Furthermore, the social network analysis identified authorship network with three core authors – Markey, K., Fourie, I. and Li, X. Finally, six core subgroups each included six or seven tightly connected researchers were also identified.

This study contributed to the existing literature by revealing the co-authorship network in librarian research field. Key researchers in the major subgroup were identified. This is one of the limited studies that describe the collaboration network among authors from different perspectives showing a more comprehensive co-authorship network.

The purpose of this paper is to present the knowledge structure based on the articles published in Library Hi Tech. The research hotspots are expected to be revealed through the keyword co-occurrence and social network analysis.

Data sets based on publications from Library Hi Tech covering the time period from 2006 to 2017 were extracted from Web of Science and developed as testbeds for evaluation of the CiteSpace system. Highly cited keywords were analyzed by CiteSpace which supports visual exploration with knowledge discovery in bibliographic databases.

The findings suggested that the percentage of publications in the USA, Germany, China, and Canada are high. Further, the most popular keywords identified in Library Hi Tech were: “service,” “technology,” “digital library,” “university library,” and “academic library.” Finally, four research issues were identified based on the most-cited articles in Library Hi Tech.

While keyword plays an important role in scientific research, limited studies paid attention to the keyword analysis in librarian research. The contribution of this study is to systematically explore the knowledge structure constructed by the keywords in Library Hi Tech.

The purpose of this paper is to investigate the effect of user’s learning style (including accommodators, divergers, convergers, and assimilators) on user’s satisfaction on the web-based learning system and their learning effectiveness.

This experimental research used the college students from a technology institute in Taiwan as the subject sources. By using the Kolb’s learning style model, the students are classified as four types of learners: convergers, divergers, assimilators, and accommodators. The authors analyzed the relationships among the different learning styles with their effectiveness of learning and satisfaction of using the web-based learning system. The mediation effect of gender is also presented.

This research indicates that: first, the satisfaction of the web-based learning system has significant influence on the learning performance of learners; second, different learning styles learners have no significant effect to the satisfaction on using the web-based learning system; third, learning effectiveness has significant difference among different learning style learners on the web-based learning system; the learning effectiveness of accommodators and divergers was significantly higher than the assimilators; fourth, different learning styles learners show significant difference in gender proportion. In addition to accommodators, whose proportion of women is higher than men, the other three learning styles’ proportions in men are higher than women.

This study was grounded in the Kolb’s learning style theory. The authors provide implications for academic studies in e-learning research stream that aimed at understanding the role of learning style as well as gender differences in the asynchronous web-based learning system.

Results from this study provided the implications for students, educators, and e-learning system designers. The design of teaching materials as well as functions of e-learning systems should take learners’ learning style into consideration to ensure the best learning outcome.

This study examined the students’ learning style as well as gender differences in the asynchronous web-based learning system. An experiment was conducted to ensure the data were collected in a controlled environment, thus, offer the value that most of the prior study lacks.

The purpose of this paper is to design a robust tracking algorithm which is suitable for the real-time requirement and solves the mistake labeling issue in the appearance model of trackers with the spare features.

This paper proposes a tracker to select the most discriminative randomly projected ferns and integrates a coarse-to-fine search strategy in this framework. First, the authors exploit multiple instance boosting learning to maximize the bag likelihood and select randomly projected fern from feature pool to degrade the effect of mistake labeling. Second, a coarse-to-fine search approach is first integrated into the framework of multiple instance learning (MIL) for less detections.

The quantitative and qualitative experiments demonstrate that the tracker has shown favorable performance in efficiency and effective among the competitors of tracking algorithms.

The proposed method selects the feature from the compressive domain by MIL AnyBoost and integrates the coarse-to-fine search strategy first to reduce the burden of detection. This paper designs a tracker with high speed and favorable results which is more suitable for real-time scene.

This study adopted the collaborative consumption triangle to explore the influence of online food delivery platforms (OFDP) on consumer purchase intentions. It investigates the effects of restaurants' corporate social responsibility (CSR) practices, individuals' food neophilic tendencies (FNT), and platforms' perceived benefits on purchase intention within OFDP. Furthermore, the study analyses differences in consumers' pro-environmental behaviour (PEB) on OFDP.

The 497 participants conducted a web-based self-completion survey, using structural equation modelling to analyse the path structure of consumer purchasing intention. Furthermore, differences in PEB among OFDP consumers were compared through multigroup analysis.

The findings indicate that CSR influences the perceived value of sustainability and that the perceived value of sustainability influences purchase intention. Additionally, the influence of the perceived value of sustainability on purchase intention is more pronounced among consumers with low PEB compared to those with high PEB.

The findings may not be generalisable to other countries due to cultural differences, CSR policies, and strategies for promoting sustainable development.

The study provides valuable contributions related to (1) restaurants increasing their revenue and meeting their long-term sustainable development goals; (2) providing reusable containers policy and reusable containers policy and category tags for restaurants within OFDP.

This study is a pioneering work examining factors influencing purchase intentions within OFDP from the tripartite collaborative consumption perspective post-COVID-19 and focuses on the differences in PEB concerning OFDP.

Seepage of the dam is an important safety problem, which may cause internal erosion of the structure. In the field of seepage monitoring in civil engineering, the distributed optical fiber sensing technology based on the temperature tracing method has been paid more attention due to its unique advantages of high sensitivity, good stability and high resolution. The purpose of this paper is to make a review of the existing related research, so as to facilitate the later scholars to understand and further study more systematically.

In this paper, three kinds of commonly used distributed fiber temperature measurement technologies are introduced. Based on the working principle, monitoring system, theoretical analysis, experimental research and engineering application of the fiber seepage monitoring technology, the present situation of dam seepage monitoring based on distributed fiber is reviewed in detail and their advantages and disadvantages are compared.

The thermal monitoring technology of seepage measurement depends on the accuracy of optical fiber temperature measurement (including the accuracy of the system and the rationality of the discrimination method), the correct installation of optical fiber and the quantitative analysis of temperature data. The accuracy of the current monitoring system can basically meet the existing measurement requirements, but the correct installation of optical fiber and the calibration of temperature data need to be further studied for different discrimination methods, and this field has great research value.

At present, there are many applications and research studies of optical fiber sensing in the field of structural health monitoring, and there are also reviews of related aspects. However, there is little or no review only in the field of seepage monitoring. This paper summarizes the research and application of optical fiber sensing in the field of seepage monitoring. The possibility of the gradient method to find its new prospect with the development of monitoring systems and the improvement of temperature resolution is discussed. The idea of extending the seepage monitoring method based on distributed optical fiber thermal monitoring technology to other monitoring fields is also given in the paper.

A subject of continuous debate in the field of organizational change research and management practices is on whether downsizing strategies result in improved firm performance. The purpose of this paper is to propose and empirically examine dynamic firm capabilities as a major missing mechanism of firm performance.

This study uses the data of 154 Taiwanese firms that employed an organizational downsizing strategy as the sample for testing the research question.

The results indicate that a responsible downsizing strategy can result in greater firm performance for the development and enhancement of dynamic firm capabilities.

This research introduces dynamic capabilities into the downsizing context, and the empirical results provide new theoretical insight into downsizing and dynamic capabilities research, suggesting that downsizing should be regarded by management as resource management rather than a cost-cutting action.

The purposes of this study were to identify the sector-specific destination attributes as antecedents of tourism satisfaction in the context of industrial tourism and examine their relative impact on intentions to recommend and re-participate in factory tour activities as consequences of tourist satisfaction.

The 26 sector-specific destination attributes ranging from the diversity of on-site and nearby tourism resources, the ease of internal and external accessibility, the availability of lodging and dining facilities to the provision of information services and safety and emergency systems were drawn from the relevant literature. Data were collected with 222 on-site visitors using convenient sampling on three separate weekends in August 2014.

The results showed that tourist satisfaction with factory tour experience is composed of seven dimensions, namely, lodging and dining facilities, internal accessibility, nearby attractions, external accessibility, provision of safety and emergency systems, on-site attractions and provision of information services. While satisfaction with the provision of safety and emergency systems is the most important positive contributor to overall satisfaction, satisfaction with the on-site attractions exerts a negative effect on intention to recommend. Nevertheless, the higher overall satisfaction the visitors have, the more possibility they will recommend and re-participate in factory tour activities.

There were three limitations to this study. First, this study was confined to Taiwan. The sector-specific destination attributes may be limited and only applicable to Taiwan. Second, this study was based on a convenience sample of 222 domestic tourists at the three selected tourism factory sites. The results may not be generalized beyond this population. Third, overall satisfaction, intention to re-participate and willingness to recommend were all measured by a single question. The use of a single-item measure may cause the measurement error inherent in any singular measure and weaken the reliability of findings.

This study is a step toward strengthening tourist satisfaction with factory tour experience. Ensuring on-site safety and security is listed as the top priority for both the government and industry sectors. The bad publicity arising from any accidents occurring on any tourism factory sties could seriously tarnish the overall factory tour experience, which, in turn, influences more significantly on intention to re-participation than on willingness to recommend. The second task is to diversify the on-site attractions, which enable the pursuit of learning as a type of leisure/entertainment, and promote the authentic aspects of these attractions through social media.

Previous studies have examined the antecedents and consequences of tourist satisfaction with the chosen destination; however, none has been undertaken in the context of industrial tourism. Moreover, the existing industrial tourism literature has mainly focused on the socio-demographic and traveling characteristics of industrial tourists as well as the conditions under which industrial tourism can be successfully developed in the Western context. The perceptions of industrial tourists toward the determinants of industrial tourism potential in the context of Asia generally and Taiwan in particular have been poorly under-researched. This study with an attempt to address these issues is, therefore, both timely and worthwhile.

Downsizing in organizations is a popular management strategy. However, in the field of organization change, the question of whether downsizing practices eventually improve performance is frequently asked and is never satisfactorily answered. The consequences have not always materialized over these years. On the negative side, downsizing harms employees, their families, and at the same time causes social chaos. The possible answers could be the ignorance of some important mechanisms between them. The paper aims to explain this issue.

The paper applies the dynamic strategy capabilities concept from the strategy research field and strategic human resource management (SHRM) practices concept from the SHRM research field.

A consolidated model is established to explain the relationships among these variables.

The model is expected to provide significant implications for thought leaders to reflect on the topics regarding organizations' changes, firm's strategies and SHRM system and social issues.

The purpose of this paper is to identify the roles of trait affectivity and momentary moods in conflict frames and conflict management. This paper goes beyond affect induction and focuses on the affective – rather than rational – antecedents of the choice of conflict management strategy.

This paper adopts a within- and between-person approach and uses hierarchical linear modeling to test the hypotheses with group-mean centering. Over the course of 12 days within a three-week period, the authors collected participants’ momentary moods and how they thought about and would respond to conflict scenarios. Data were gathered from 1,545 observations, involving 180 individuals.

After controlling for anger raised from the conflict scenario, both positive trait affectivity and positive momentary moods were found to be positively related to a compromise frame. Surprisingly, neither negative trait affectivity nor momentary mood was related to the win frame. A compromise frame predicted a cooperative strategy, and a win frame predicted a competitive strategy. The relationships between trait and momentary affects and conflict management strategy were partially mediated by conflict frame, but only for positive affects.

If seeking a constructive resolution, choose the right person (i.e. an individual with positive trait affectivity) and the right moment (i.e. the individual is in a positive mood state) to communicate disagreements.

This paper sheds light on the prediction of conflict frame and conflict management behavior by testing trait affectivity and momentary mood simultaneously.