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In recent years, social media crises occurred more and more often, which negatively affect the reputations of individuals, businesses and communities. During each crisis, numerous users either participated in online discussion or widely spread crisis-related information to their friends and followers on social media. By applying sentiment analysis to study a social media crisis of airline carriers, the purpose of this research is to help companies take measure against social media crises.

This study used sentiment analytics to examine a social media crisis related to airline carriers. The arousal, valence, negative, positive and eight emotional sentiments were applied to analyze social media data collected from Twitter.

This research study found that social media sentiment analysis is useful to monitor public reaction after a social media crisis arises. The sentiment results are able to reflect the development of social media crises quite well. Proper and timely response strategies to a crisis can mitigate the crisis through effective communication with the customers and the public.

This study used the Affective Norms of English Words (ANEW) dictionary to classify the words in social media data and assigned the words with two elements to measure the emotions: valence and arousal. The intensity of the sentiment determines the public reaction to a social media crisis. An opinion-oriented information system is proposed as a solution for resolving a social media crisis in the paper.

Collectively knowledge is mentioned to surpass the traditional assets such as workers, property and financial investment. The research studies on how the existing knowledge can be merged with new knowledge for further development of organizational progress is moving from nascent to active state. In this context, the applications of online data pose a research gap in the domain of hospital review ratings. The purpose of this study is to explore how this raw tacit knowledge can be transformed to explicit keywords associated with individual review ratings of the hospital.

The authors have attempted to decrypt the tacit knowledge extracted from Facebook page of nine Indian hospitals (sources for the nine hospitals) using NVivo 12.3 to explain the resources associated with the poor or good review ratings.

Distinct patterns emerged with review ratings and associated words, which can be used to improve the facets of health-care services.

The data used are only from India catering to national and international patients.

The sentiment analysis and word cloud associated with individual review rating can be further used for devising finer branding scales, as well as be practically used for real-time branding efforts by health-care industry.

Social question and answer (SQA) site is one of the factors that boosted up and popularized the vision of social web. It enables community members to post highly valued answers to globally asked questions and information seekers to grab intellectual information in a contextual, concise, and meaningful format at the cost of investing a few minutes. The purpose of this paper is to present a common architecture, history, and a comprehensive review of such sites.

A critical and analytical investigation of the state-of-the-art SQA sites and relevant literature has been carried out with the intention to explore the noticeable features of such sites.

By studying relevant literature, and analysing a number of existing systems, a number of research challenges are identified and a generic architecture of SQA sites is contributed.

The review contributes a comprehensive knowledge about SQA systems and aims to be helpful to new researchers who want to get a broad picture of SQA systems on a single platform. The domain is in its infancy and requires tremendous efforts from the research community to explore its salient aspects with respect to the human world.

The study inspects SQA sites on a large scale and makes an original contribution by presenting a comprehensive review, future research challenges, and a generic architecture of SQA sites.

The paper explores the importance of mobile technology to enable diffusion of agriculture-related knowledge among farmers in India. The purpose of the paper is to evaluate the current socio-economic factors and challenges that impact the feasibility of m-governance project. The authors intend to explore different behavioral aspects of farmers, specifically their information seeking behavior to understand their communication ecosystem.

The authors have used multiple methods to analyze the significance of m-governance in current social dynamics. To achieve in depth understanding of farmer’s attitudes and opinion, the authors have conducted semi-structured interviews with farmers. The authors have also applied experimental observations to evaluate the actual effectiveness of information dissemination and the social dynamics behind the process. The secondary/archival data was also collected from the government offices and non-governmental organizations.

Findings explore the pattern of mobile usage among the farmers which could lead to interesting implications for the design and implementation of future m-governance projects. The research has also drawn some interesting implication on the feasibility of m-governance project.

Because the findings are co-related with the prevalent socio-cultural dynamics, testing the findings in different context might add value to the proposed theory and its implications.

Considering the need and significance of agriculture-based reforms in rural India, present study offers guidance in devising an efficient communication medium among farmers and government. The authors infer from our field observations that the communication platform is vital for successfully reaching farmers for their overall welfare. The present work is based on findings which are drawn from the ground reality which helps in explicating inferences which are useful for implementation purpose.

This paper aims to present an emergent framework that proposes the strategic importance of supply chain (SC) traceability beyond the traditional role in supporting product safety, recalls and sustainability initiatives.

A grounded theory (GT) approach with 22 in-depth interviews with managers from 10 countries/territories and 3 different echelons of the food SC is employed to arrive at the strategic traceability framework and framework's propositions.

The framework suggests that traceability can sometimes help expose and modify firms' core and non-core SC capabilities and provide an opportunity to align them better with SC strategies. This alignment may require a complementary execution of human coordination and the adoption of technological traceability components.

The research suggests that firms may be able to extract greater value from the firms' traceability investments. While traceability continues to serve the key purposes of preventing and mitigating the risks of recalls, this can sometimes illuminate sustained business growth opportunities.

The study extends traceability beyond a means to meet the requirements of product safety, recalls and sustainability. Rather, this study establishes traceability's role in exposing and aligning firms' capabilities for business gain and not merely recall risk mitigation. This reframing of the premise for traceability can invigorate both research and practice on the subject of traceability.

Based on the theory of trust and cost-benefit perspective, this paper examines the relationship between citizens’ trust and their digital attitudes by considering the mediating effects of performance expectancy and perceived risk, as well as the moderating effect of media use.

The city digital transformation in Shanghai is chosen as the case in this study. 466 questionnaires were collected through a survey, with Structural Equation Modeling to test the hypotheses in AMOS.

Citizens’ trust of government and trust of technology has no significant direct effect on their digital attitudes. However, performance expectancy mediates between the trust of government and digital attitudes, and perceived risk mediates the effect of trust of technology on attitudes. The use of social media significantly moderates the association between trust of technology and citizens’ attitudes.

Exploring why citizens shape supportive attitudes toward digitalization is critical to achieving digital governance goals in developing countries, especially large cities where digital transformation is accelerating. The originality lies in using cost-benefit analysis as a perspective and media use as a moderator to examine the mechanisms of citizens’ trust and digital attitudes.

The study aims to provide a critical review of the origin, development and process of sentiment analysis (SA) and a demonstration for hospitality researchers and students on how to perform SA using a sample study.

A critical review and sample case demonstration approach was applied. The sample study used Leximancer to perform SA using TripAdvisor review data.

A critical evaluation of the most popular SA tools was provided, highlighting their advantages and disadvantages. A step-by-step demonstration with data provided makes it possible for readers to learn this technique at own pace.

By providing a critical review of SA supported with a demonstration case study, this study makes a timely contribution for broader awareness and understanding, as well as the application of SA in hospitality.

To evaluate and extend, existing natural language processing techniques into the domain of informal online political discussions.

A database of postings from a US political discussion site was collected, along with self‐reported political orientation data for the users. A variety of sentiment analysis, text classification, and social network analysis methods were applied to the postings and evaluated against the users' self‐descriptions.

Purely text‐based methods performed poorly, but could be improved using techniques which took into account the users' position in the online community.

The techniques we applied here are fairly simple, and more sophisticated learning algorithms may yield better results for text‐based classification.

This work suggests that social network analysis is an important tool for performing natural language processing tasks with informal web texts.

This research extends sentiment analysis to a new subject domain (US politics) and a new text genre (informal online discusssions).

The analysis of periodicals can provide important insights into the changing nature and dynamics of academic disciplines and fields of study. The Journal of Educational Administration (JEA) has for the past 25 years grown up alongside the field which it seeks both to represent and develop, and it is thus of considerable interest to look at the contents of the JEA in light of this role. A study was made of all the articles published in the JEA during the period 1963‐87 with a view to establishing authorship patterns; the types of papers which have been published; the common themes and the range of topics addressed; the nature of empirical research; and changes in both substantive and methodological orientations over the past 25 years. The analysis and discussion looked at the JEA as offering a window into the “world” of educational administration, but noted that a journal can only ever mirror that which is held up to it and ultimately to its readership.

The purpose of this paper is to propose an approach regarding the management measures for solving environmental problems in protected areas. Two neighboring protected areas with different features were chosen in order to investigate the similarity of the environmental problems with regard to these two areas and if it is possible for these problems to be solved through a network of protected areas.

The research was carried out through the use of a questionnaire which was distributed to the inhabitants and visitors of both areas, as well as through interviews with the representatives of organizations responsible for the management and administration of those areas and representatives of the municipalities and the regional authorities these two national parks belong to. Simple random sampling was applied to the inhabitants and cluster sampling to the visitors.

The results show that with regard to the visitors the most important problem is illegal hunting while for the inhabitants equally important is the problem of pollution and cleanliness. However, those responsible with the management of the two National Parks think that the greatest threat to the wider area is the problem of floods.

The views of the stakeholders in a given time, provides us with the best possible information for solving the problems faced and can be used as a tool for increasing the effectiveness of the measures which have been taken to deal with the particular problems.