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The technique of reconciling two Of more thesauri is explained and demonstrated with examples from two actual thesauri which are currently being reconciled to form an international co‐operative indexing system in the field of building science. Reconciliation results in the addition of code numbers to the keywords in each thesaurus and the insertion of additional ‘USE’ references, which enable any material indexed with the keywords of one thesaurus to be incorporated in the indexing system based on the other thesaurus without re‐indexing. The original thesauri can continue to be used locally as they were before reconciliation, since the keywords themselves remain unchanged and none are added or deleted. The reconciliation process is independent of thesaurus structure.

The progressive utilization of information necessitates the evaluation of the information‐content of scientific documents over conventional bibliotechnical indexing‐operations. The technique of optimal economical evaluation of information rests in the alternative between the keyword and subject‐index as the symbolic operator. From the analysis of 350 scientific documents the keyword‐concept was, by empirical decision, derived to be the superior operator. Conversely, the concept of subject‐indexing leads to ambiguities of subcategories, since certain branch‐nodes of the categorical trees (code trees) may belong to several simultaneous subject‐categories. This ambiguity can be resolved only by means of coordination‐tables correlating each keyword with the pertinent simultaneous subject‐categories. The application of synonym‐registers affects the concentration of information‐sources with typical completeness for each keyword‐entry in the system. The phrasing of syntactically associated keywords produces a significant precision of the information‐content of the documentary text. The efficiency of a documentary system is predominantly accomplished by information‐filtering in terms of relevant keyword‐phrases. This system‐efficiency is displayed as a function of utility‐rate versus precision‐rate, which is considered superior to Salton's efficiency‐rate of “precision versus recall.” The phrasing of key‐word‐phrases is utilized as the structure for the design of a truly topic‐related abstract to any document. Empirical findings from this study of economical optimization of documentary systems reveal the actual efficiency of the concept of information‐evaluation.

Tourism and hospitality are industries that have been dramatically transformed by information technology (IT). This study aims to use a keyword analysis to quantitatively review how IT reshaped these industries.

In total, 3,282 keywords were collected from 24 high-impact tourism and hospitality journals and a social network analysis was used for the analysis.

This study contributes to research and practice by providing a visual digital knowledge map for tourism and hospitality, and seven research hotspots were identified from the results of the keyword analysis.

A parsimonious eMarketing model for tourism and hospitality is proposed to direct future studies concerning these themes and guide practitioners in allocating the appropriate resources for IT investment.

This map not only identifies seven themes that explain, which and how IT-related factors influence tourism and hospitality but also demonstrates the patterns and intellectual structure of the related body of knowledge. The trend analysis indicates how IT transforms the tourism and hospitality industries in terms of mode and scope.

This chapter opens up a question central to the mission of the business in society field as it has evolved since the formation of division in the Academy of Management (AOM): What are the (future) distinctive competencies of business in society scholarship? We first empirically demonstrate that core topics to the business in society field, as represented by the Social Issues in Management (SIM) Division of the AOM, are now disseminated broadly throughout the management academy, represented by AOM. We call this dissemination the popularity paradox, because it demonstrates that SIM is not well connected with other divisions, that is, sub-disciplines of management despite that they are now regularly dealing with its core questions. Given that SIM’s (and business in society’s) traditional foci are now widely dispersed, the authors argue that it is time for business in society scholars, with SIM as proxy, to begin tackling new core issues that put growing civilizational threats around sustainability and the consequent need for system change and transformation front and center. In a sense, the authors argue that business in society scholars need to return to their roots of seriously questioning the roles and functions of businesses in society through a critical lens that asks and seeks to answer – today’s emerging new and tough questions, though the questions now emphasize the sustainability of human civilization as we know it.

The purpose of this study is to apply a corpus-assisted analysis of keywords and their collocations in the US presidential discourse from Clinton to Trump to discover the meanings of these words and the collocates they have. Keywords are salient words in a corpus whose frequency is unusually high (positive keywords) or low (negative keywords) in comparison with a reference corpus. Collocation is the co-occurrence of words.

To achieve this purpose, the investigation of keywords and collocations is generated by AntConc, a corpus processing software.

This analysis leads to shed light on the similarities and/or differences amongst the past four American presidents concerning their key topics. Keyword analysis through keyness makes it evident that Clinton and Obama, being Democrats, demonstrate a clear tendency to improve Americans’ life inside their social sphere. Obama surpasses Clinton as regard foreign affairs. Clinton and Obama’s infrequent subjects have to do with terrorism and immigration. This complies with their condensed focus on social and economic improvements. Bush, a republican, concentrates only on external issues. This is proven by his keywords signifying war against terrorism. Bush’s negative use of words marking cooperative actions conforms to his positive use of words indicating external war. Trump’s positive keywords are about exaggerated descriptions without a defined target. He also shows an unusual frequency in referring to his name and position. His words used with negative keyness refer to reforming programs and external issues. Collocations around each top content keyword clarify the word and harmonize with the presidential orientation negotiated by the keywords.

Limitations have to do with the issue of the accurate representation of the samples.

This research is original in its methodology of applying corpus linguistics tools in the analysis of presidential discourses.

As the humanities develop in the realm of increasingly more pronounced digital scholarship, it is important to provide quality subject access to a vast range of heterogeneous information objects in digital services. The study aims to paint a representative picture of the current state of affairs of the use of subject index terms in humanities journal articles with particular reference to the well-established subject access needs of humanities researchers, with the purpose of identifying which improvements are needed in this context.

The comparison of subject metadata on a sample of 649 peer-reviewed journal articles from across the humanities is conducted in a university repository, against Scopus, the former reflecting local and national policies and the latter being the most comprehensive international abstract and citation database of research output.

The study shows that established bibliographic objectives to ensure subject access for humanities journal articles are not supported in either the world's largest commercial abstract and citation database Scopus or the local repository of a public university in Sweden. The indexing policies in the two services do not seem to address the needs of humanities scholars for highly granular subject index terms with appropriate facets; no controlled vocabularies for any humanities discipline are used whatsoever.

In all, not much has changed since 1990s when indexing for the humanities was shown to lag behind the sciences. The community of researchers and information professionals, today working together on digital humanities projects, as well as interdisciplinary research teams, should demand that their subject access needs be fulfilled, especially in commercial services like Scopus and discovery services.

The purpose of this paper is to analyze the post type of the official account of the Korean fashion brands on Instagram and to analyze the images and keywords according to the use of the hashtag in it. This study also will provide data of how fashion brands use the new media of Instagram and how they promote it.

This study investigated the types of postings and keywords of hashtag(#) of fashion brand’s official Instagram account in order to analyze the post type and keyword. In total, six apparel brand companies were selected, with two in each of three categories (classic casual brand, outdoor sports brand and designer character brand), and seven types of postings were classified (lookbook and product, collection, broadcasting ads, brand issue, sensibility pictures, sponsorship and event). The frequencies were collected according to their types that were confirmed by four fashion major specialists.

First, the proportion of the types of postings varied according to the characteristics of the brand. Second, the six brands used keywords of a symbol because it is important to convey brand identity. Third, the sensibility keywords of each brand were investigated, and one of the designer character brands used only practical keywords without sensibility keywords. Fourth, this study examined the number of Instagram hashtags and hearts to determine if the reaction was in alignment with the marketing trends of the company’s official Instagram account and consumers. One of the classic casual brands, one of the outdoor sports brands and both designer character brands showed a high proportion of types of posts on Instagram that well matched with consumer response. As a hypothesis of this study, it was supported that the posting types of images and hashtags will be different according to the characteristics of brand.

Instagram is the fastest growing social network service (SNS) globally, especially among young adults. Instagram is noted for its strong SNS marketing but it has not been well researched in the apparel industry. The study results will help improve the brand image and promotion by using official Instagram account in the apparel industry.

One of the most effective ways information retrieval (IR) systems including Web search engines can improve relevance performance is to provide their users with tools for facilitating query expansion. Search engines such as Google provide users with keyword suggest tools. This paper aims to investigate users’ criteria in relevance judgment regarding Google’s keywords suggest tool and to see how such keywords would lead to more relevant results from the viewpoint of users.

Through a mixed method approach, quantitative and qualitative data were collected from 60 postgraduate students at Ferdowsi University of Mashhad, Iran, using four different instruments (questionnaire, thinking aloud technique, query logs and interviews).

Among other criteria, the “relation between suggested keywords and the information need” (with the mean rate of 3.53 of four) was considered the most important by searchers in selecting suggested keywords for query expansion. Also, the “relation between suggested Keywords and the retrieved items” (with the mean rate of 3.62) was considered the second most important criterion in judging the relevance of the retrieved results. The participants agreed that the suggested keywords by Google improved the retrieval relevance. The content analysis of the participants’ aloud-thinking sessions and the interviews approved such findings.

This research makes a contribution to the need of designers of IR systems regarding the use of add words for query expansion. It also helps librarians how to instruct searchers with expanding their queries to retrieve more relevant results. Another contribution of the study is the identification of a number of new relevance judgment criteria for Web-based environments.