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Potential and benefits of classification schemes and thesauri in building organizational taxonomies cannot be fully utilized by organizations. Empirical data of building an organizational taxonomy by the top‐down approach of using classification schemes and thesauri appear to be lacking. The paper seeks to make a contribution in this regard.

A case study of building an organizational taxonomy was conducted in the information studies domain for the Division of Information Studies at Nanyang Technology University, Singapore. The taxonomy was built by using the Dewey Decimal Classification, the Information Science Taxonomy, two information systems taxonomies, and three thesauri (ASIS&T, LISA, and ERIC).

Classification schemes and thesauri were found to be helpful in creating the structure and categories related to the subject facet of the taxonomy, but organizational community sources had to be consulted and several methods had to be employed. The organizational activities and stakeholders' needs had to be identified to determine the objectives, facets, and the subject coverage of the taxonomy. Main categories were determined by identifying the stakeholders' interests and consulting organizational community sources and domain taxonomies. Category terms were selected from terminologies of classification schemes, domain taxonomies, and thesauri against the stakeholders' interests. Hierarchical structures of the main categories were constructed in line with the stakeholders' perspectives and the navigational role taking advantage of structures/term relationships from classification schemes and thesauri. Categories were determined in line with the concepts and the hierarchical levels. Format of categories were uniformed according to a commonly used standard. The consistency principle was employed to make the taxonomy structure and categories neater. Validation of the draft taxonomy through consultations with the stakeholders further refined the taxonomy.

No similar study could be traced in the literature. The steps and methods used in the taxonomy development, and the information studies taxonomy itself, will be helpful for library and information schools and other similar organizations in their effort to develop taxonomies for organizing content and aiding navigation on organizational sites.

The purpose of this paper is to examine the recent recession in the USA and its impact on libraries. It illustrates how libraries are coping with the fiscal constraints and challenges this economic climate imposes. It seeks to provide timely feedback and best practices from librarians and administrators (mostly academic) regarding measures they are taking and their plans for the future.

The literature review reveals news regarding library budget cuts and their impact on collections, operations, and personnel. Two online surveys were conducted, one of the library community at large, the other of the Association of Research Libraries (ARL) deans and directors.

A majority of the libraries have experienced flat or reduced budgets and many expect additional budget cuts in the immediate future. Key areas affected include collections/materials, professional development/travel, supplies/equipment, personnel and hours of operation. Survey respondents suggest that library administrators and librarians should examine workflow to increase efficiency, prioritize projects, and adopt creative measures.

This article provides informative and practical suggestions for those managing budgets in difficult economic times.

Data collected provide a snapshot of the financial constraints libraries currently face. It provides practical lessons and suggestions for library administrators and librarians seeking to cope with flat or reduced budgets while maintaining quality services.

This paper seeks to examine attitudes toward the use of clickers, as well as practicalities and pedagogical considerations that inform them. Drawing on interviews from a variety of viewpoints at one institution of higher education, this paper aims to situate a librarian perspective among those of teaching faculty, administration, and students.

This paper is a case study of a single institution of higher education in which the experiences of teaching faculty, an administrator, and a library faculty member are gathered using semi‐structured interviews. Student opinions are obtained through the use of a focus‐group interview.

This paper provides attitudes and experiences of nursing teaching faculty who use clickers in their instruction, an administrator who purchased clickers for his department, and a library faculty member who uses clickers in bibliographic instruction, as well as those of nursing students who used the technology in class.

Because of the nature of the research method employed, reported results may not be universally generalizable.

This paper may help inform the choices of those deciding to use clickers in their instruction.

This paper fulfills an identified need to analyze reactions to clicker use in instruction among students, instructors, and other program participants, including librarians.

The purpose of the paper is to describe the Long Island University Brooklyn Campus Library's experience with a Smart Space Project. This paper recounts how the library creates new instructional spaces, through the use of smart technologies. This study illustrates challenges facing the library, recounts collaboration with other campus units, and describes support service provided by Library Information Technology. This account contributes to the sharing and discussion of experiences among modern academic libraries regarding needs assessment, space planning, and utilization of technology to support library services.

The literature review includes space planning, building renovation and construction, and instructional technology. Various aspects of the Smart Space Project are described and analyzed. Studies and experiences from other academic libraries are also discussed.

Space renovation projects may be complex, requiring a systematic approach encompassing vision, needs assessment, funding, planning, technological considerations, and collaboration with other campus units. Creativity, flexibility, open‐mindedness, and attention to details are keys to the success of renovation projects.

In the areas of library space, student learning behaviour, utilization of technology, and smart technology's impacts on online/distance library instruction, more research needs to be conducted.

This account provides useful information and first‐hand experience for library administrators and faculty planning instructional space projects.

This article provides a snapshot of the efforts of a mid‐sized urban library to address issues of limited space, budgetary constraints, growing collections, and increasing user needs. It provides practical lessons and suggestions for other library administrators and faculty seeking to make building and instructional technology improvements. It also offers valuable information for library information technology units implementing smart instructional projects.

Behavioral pattern mining for intelligent system such as SmEs sensor data are vitally important in many applications and performance optimizations. Sensor pattern mining (SPM) is also dynamic and a hot research issue to pervasive and ubiquitous of smart technologies toward improving human life. However, in large-scale sensor data, exploring and mining pattern, which leads to detect the abnormal behavior is challenging. The paper aims to discuss these issues.

Sensor data are complex and multivariate, for example, which data captured by the sensors, how it is precise, what properties are recorded or measured, are important research issues. Therefore, the method, the authors proposed Sequential Data Mining (SDM) approach to explore pattern behaviors toward detecting abnormal patterns for smart space fault diagnosis and performance optimization in the intelligent world. Sensor data types, modeling, descriptions and SPM techniques are discussed in depth using real sensor data sets.

The outcome of the paper is measured as introducing a novel idea how SDM technique’s scale-up to sensor data pattern mining. In the paper, the approach and technicality of the sensor data pattern analyzed, and finally the pattern behaviors detected or segmented as normal and abnormal patterns.

The paper is focussed on sensor data behavioral patterns for fault diagnosis and performance optimizations. It is other ways of knowledge extraction from the anomaly of sensor data (observation records), which is pertinent to adopt in many intelligent systems applications, including safety and security, efficiency, and other advantages as the consideration of the real-world problems.

The Belt and Road Initiative (BRI), an ambitious plan led by the Chinese government aiming to reach a close integration between countries, is reshaping the global institutional landscape. Chinese state-owned enterprises (SOEs) play a leading role in the BRI and they usually follow an unconventional behavior derived from the institutional influence of their home government. Prior research reports that institutional distance between home and host countries has an impact on multinational enterprises’ (MNEs’) ownership level in their foreign subsidiaries. Therefore, our aim is to investigate how institutional distance, the BRI and state ownership affect Chinese tourism MNEs' ownership level in their cross-border acquisitions.

Drawing on the institutional theory, this study develops several hypotheses that are tested using a sample of Chinese MNEs from accommodation, travel agencies, transport and leisure/entertainment industries.

The results show that the idiosyncratic characteristics of being an emerging-market MNE belonging to a soft-service industry is associated with a positive relationship between institutional distance and a high ownership level in cross-border acquisitions. They also indicate that targeting a country included in the BRI and being an SOE negatively moderates that relationship.

This study extends institutional theory in the case of tourism firms from an emerging economy. It also addresses an under-research topic in the literature, namely, how the BRI is leading Chinese tourism MNEs to redesign their international strategies.

The purpose of this paper is to propose a voltage regulation solution in power systems through adjusting the power flow of the system via thyristor controlled series compensator (TCSC). For this aim, a new power flow model has been proposed based on TCSC.

TCSC’s admittance effect has been included as state variable into the Jacobian matrix to avoid divergence problem. TCSC’s admittance is ignored in the bus admittance matrix to prevent rebuilding requirement of the bus admittance matrix in each power flow iteration. So, faster convergence for power flow calculation has been provided. For this aim, new power equations have been obtained. Also, the proposed approach has not required to handle each terminal of TCSC as an individual bus in the power flow calculation. So, increasing of the Jacobian and bus admittance matrixes caused by the total bus number has been prevented.

The proposed approach has been tested on IEEE 57-bus test system. The obtained results have proved that the proposed approach has provided efficient, reliable and fast convergence.

This study is the first one that uses TCSC for voltage regulation in the literature. On the other hand, the results have shown that the approach of considering the TCSC admittance values as state variables provides robust convergence, according to the approaches that consider TCSC firing angles as state variables.