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This paper analyzes the impact of economic downturns on the revenue and expense sides of city financing for the period 2003 to 2009 using a convenience sample of the audited end of year financial reports for thirty midsized US cities. The analysis focuses on whether and how quickly and how extensively revenue and spending directions from past years are altered by recessions. A seven year series of Comprehensive Annual Financial Report (CAFR) data serves to explore whether citiesʼ revenues and spending, especially the traditional property tax and core functions such as public safety and infrastructure withstood the brief 2001 and the persistent 2007 recessions? The findings point to consumption (spending) over stability (revenue minus expense) for the recession of 2007, particularly in 2008 and 2009.

This paper analyzes the impact of economic downturns on the revenue and expense sides of city financing for the period 2003 to 2009 using a convenience sample of the audited end of year financial reports for thirty midsized US cities. The analysis focuses on whether and how quickly and how extensively revenue and spending directions from past years are altered by recessions. A seven year series of Comprehensive Annual Financial Report (CAFR) data serves to explore whether citiesʼ revenues and spending, especially the traditional property tax and core functions such as public safety and infrastructure withstood the brief 2001 and the persistent 2007 recessions? The findings point to consumption (spending) over stability (revenue minus expense) for the recession of 2007, particularly in 2008 and 2009.

Describes an approach automatically to classify and evaluate publicly accessible World Wide Web sites. The suggested methodology is equally valuable for analyzing content and hypertext structures of commercial, educational and non‐profit organizations. Outlines a research methodology for model building and validation and defines the most relevant attributes of such a process. A set of operational criteria for classifying Web sites is developed. The introduced software tool supports the automated gathering of these parameters, and thereby assures the necessary “critical mass” of empirical data. Based on the preprocessed information, a multi‐methodological approach is chosen that comprises statistical clustering, textual analysis, supervised and non‐supervised neural networks and manual classification for validation purposes.

The growth of the web and the increasing number of documents electronically available has been paralleled by the emergence of harmful web pages content such as pornography, violence, racism, etc. This emergence involved the necessity of providing filtering systems designed to secure the internet access. Most of them process mainly the adult content and focus on blocking pornography, marginalizing violence. The purpose of this paper is to propose a violent web content detection and filtering system, which uses textual and structural content‐based analysis.

The violent web content detection and filtering system uses textual and structural content‐based analysis based on a violent keyword dictionary. The paper focuses on the keyword dictionary preparation, and presents a comparative study of different data mining techniques to block violent content web pages.

The solution presented in this paper showed its effectiveness by scoring a 89 per cent classification accuracy rate on its test data set.

Many future work directions can be considered. This paper analyzed only the web page, and an additional analysis of the visual content can be one of the directions of future work. Future research is underway to develop effective filtering tools for other types of harmful web pages, such as racist, etc.

The paper's major contributions are first, the study and comparison of several decision tree building algorithms to build a violent web classifier based on a textual and structural content‐based analysis for improving web filtering. Second, showing laborious dictionary building by finding automatically discriminative indicative keywords.

Qualitative research suffers from “contestation” and a lack of “boilerplate” problems to assessing and presenting qualitative data, which have hampered its development and the broader acceptance of qualitative research. This paper aims to address this gap by marrying the constructivist methodology and RQDA, a relatively new open-source computer-assisted qualitative data analysis (CAQDAS)-based R extension and demonstrate how the software can increase the rigor, transparency and validity of qualitative research.

This paper highlights the constructivist approach as an important paradigm in qualitative research and demonstrates how it can be operationalized and enhanced using RQDA. It provides a technical and methodological review of RQDA, along with its main strengths and weaknesses, in relation with two popular CAQDAS tools, ATLAS.ti and NVivo. Using samples of customer-generated e-complaints and e-praises in the electronics/computer sector, this paper demonstrates the development of a process model of customer e-complaint rhetoric.

This study offers step-by-step instructions for installing and using RQDA for data coding, aggregation, plotting and theory building. It emphasizes the importance of techniques for sharing coding outputs among researchers and journal gatekeepers to better disseminate and share research findings. It also describes the authors’ use of RQDA in classrooms of undergraduates and graduate students.

This paper addresses the “contestation” and “boilerplate” gaps, offering practical, step-by-step instructions to operationalize and enhance the constructivist approach using the RQDA-based approach. This opens new opportunities for existing R users to “cross over” to analyzing textual data as well as for computer-savvy scholars, analysts and research students in academia and industry who wish to transition to CAQDAS-based qualitative research because RQDA is free and can leverage the strengths of the R computing platform.

This study offers the first published review and demonstration of the RQDA-based constructivist methodology that provide the processes needed to enhance the rigor, transparency and validity of qualitative research. It demonstrates the systematic development of a data structure and a process model of customer e-complaint rhetoric using RQDA.

The purpose of this paper is to aim to characterise the knowledge management process of the ageing human capital, within the sectors of aeronautics and bio‐technologies in Canada.

The methodology consists of: cross‐search of literature towards the elaboration of a theoretical map; and collection of data involving semi‐directed interviews followed by a thematic and statistical analysis of the textual data.

Management's knowledge of social and relational knowledge, especially those of ageing workers, appears to be scarce, thus resulting in ageing workers being perceived as surpassed by technological and scientific progress. This conception deprives the company of an important source of knowledge capitalisation. A model relevant to the evaluation of company practices related to inter‐generational aspects of knowledge management should include six basic dimensions, namely: management philosophy (a managerial style favouring projections and proximities), strategic analysis (knowledge, memory and learning strategy), organisational analysis (information management system and knowledge creation process), operational analysis (places of socialisation), competencies (relational and communicational know‐how, individual memory and capacity of judgement), and the role of ageing personnel (activation of organisational and human resource networks).

Further validation is required across an enlarged population, with the aim of operationalising the observed concepts within a practical evaluation guide of company practices related to inter‐generational aspects of knowledge management.

By centering the analysis on highly qualified ageing individuals, the authors discerned a phenomenon showing that even within highly technological contexts knowledge management is far from systematically integrating those recognised a priori as carriers of knowledge.

Prior to the development of low-cost computing and the ease of completing statistical analysis, case studies played a significant role in the development of the social sciences. However, since the mid-1990s statistical modelling and empirically driven work has come to dominate academic literature; yet there remain epistemological similarities between some forms of case study work and statistical modelling. Nonetheless, issues of the qualitative versus quantitative divide and the purported role of value judgments made by the researchers have in part muddied the waters until quite recently, when the researchers using statistical methods started to adopt the use of the first person in their writing and began to recognise that the choice of a given statistical technique is just as surely a value judgment or exercise of experience and expertise as is any interpretation of text by a qualitative researcher. Similarly, qualitative researchers have become increasingly familiar with textual analysis using software programmes based on neural network theory, and a new generation of researchers have become comfortable with a mixed method mode of analysis.

Following Hovland’s persuasion theory, this paper aims to develop a conceptual model and analyzes characteristics of online political deliberation behavior from three aspects (i.e. information, situation and manager). Based on the whole interactive process of online political deliberation, this paper aims to reveal the key points that affect the response effect of the government from the persuasive perspective of online political consultation.

Based on more than 40,000 netizens’ posts and government responses from 2011 to the first half of 2019 of the Chinese political platform, this paper used the text analysis and machine learning methods to extract measurement variables of online political deliberation characteristics and the econometrics analysis method to conduct empirical research.

The results showed that the textual information, political environment and identity of the political objects affect the effectiveness of government response. Furthermore, for different position categories of political officials, the length of political texts, topic categories and emotional tendencies have different effects on the response effectiveness. Additionally, the effect of political time on the effectiveness of response differs.

The findings will help ascertain the characteristics of online political deliberation behavior that affect how effective government response is and provide a theoretical basis for why the public should express their political concerns.

This study aims to explore how haute cuisine excellence is and can be self-represented on the websites of three-star restaurants and juxtaposed onto the websites of external authoritative food guides.

In total, 26 French Michelin three-star restaurant websites and their reviews in the prominent Michelin and Gault and Millau dining guides were examined. This data was then processed using lexicometric software.

Five semantic universes emerged, showing that restaurants and dining guides do not emphasize the same elements of culinary excellence. While restaurant websites emphasize the charismatic leadership role of the chef through family history, professional recognition and vicarious learning, the two iconic guides are far from rating the criteria they claim to: For the Michelin Guide, criteria other than cuisine appear central. Conversely, Gault and Millau, far from its nouvelle cuisine principles advocating democratization at lower cost, insists on fine products.

It remains essential for restaurants to use a repertoire of cultural components and symbols, capitalize on the charismatic and architectural roles of their chef and showcase fine products that are representative of classical cuisine. Storytelling and dynamic narrative add-ons, regularly updated on large-audience social media, appear central to increasing restaurants’ perceived value, communicating innovation and attesting to their singularity and uniqueness.

To the best of the authors’ knowledge, this is the first empirical study to overlap the lexical perspectives of three-star restaurants and iconic guides’ websites.

This purpose of this study was to explore two key issues in experiential marketing from an organizational perspective: the management of “strategic experiential modules” and the management of “service encounters” specific to a memorable experience for children in urban luxury hotels.

An integrated model combining managerial and practice-oriented frameworks was used to study how luxury hotel managers design and create memorable experiences for children. The study took a qualitative approach in collecting in-depth data and interviewed 35 managers of five-star luxury hotels in Paris. The data were processed using the Alceste software, an automated lexical program that analyzed the co-occurrence of words and sentences.

With regard to the integrated model, the analysis of the interviews distinguished four main dimensions, which accounted for more than 84 per cent of the original textual data. Three dimensions, related to emotional-sensorial-physical experiential modules, described how managers strategically managed the child experience and journey while at their hotel. A fourth dimension was also identified in relation to the upstream of the service encounter. The findings highlighted a significant gap in how hotel managers were managing the experiences of children under 12 years of age and that further incorporation of various touchpoints is needed to improve the management of the service design.

This study demonstrated the applicability of the proposed integrated model, which offers valuable marketing implications for luxury hotel managers. It is suggested that more research on the management of the child experience and journey is conducted in the future.

To the best of the researchers’ knowledge, this is the first empirical study to combine these two frameworks to study the management of the child experience and journey in the luxury hospitality sector.