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The purpose of this paper is to make the case for bringing compassion to students in educational settings, preschool through graduate school (PK-20).

First, the author defines what is meant by “compassion” and differentiates it from the related constructs. Next, the author discusses the importance of bringing compassion into education, thinking specifically about preschool, K-12 (elementary and middle school/junior high/high school), college students, and graduate students (e.g. law, medical, nurses, counselors and therapists-in-training). The author then reviews the scant empirical literature on compassion in education and makes recommendations for future research. In the final section, the author makes specific and practical recommendations for the classroom (e.g. how to teach and evaluate compassion in PK-20).

While there is a fair amount of research on compassion with college students, and specifically regarding compassion for oneself, as the author reviews in this paper, the field is wide open in terms of empirical research with other students and examining other forms of compassion.

This is not a formal review or meta-analysis.

This paper will be a useful resource for teachers and those interested in PK-20 education.

This paper highlights the problems and opportunities for bringing compassion into education settings.

To date, no review of compassion in PK-20 exists.

This study investigates the relationship between feelings of loneliness in the workplace, life satisfaction, affect, hope and expressivity among hotel employees.

The research model was tested via structural equation modeling based on the empirical data collected from hotel employees in Antalya, Turkey.

The research findings suggest that emotional deprivation and social companionship have a significant impact on life satisfaction, that life satisfaction has a significant impact on positive and negative emotions, and that positive and negative emotions have the same impact on pathways and agencies.

The research findings should assist researchers and practitioners to understand the behaviors of hotel employees in continuous interaction and relationship with individuals to motivate them while providing more effective services.

The purpose of this paper is to review what one knows – and does not know about servicescape and experiencescape. The paper provides a comprehensive conceptualization, discussion of the servicescape and experiencescape and calls for the need for a collective focus of servicescape and experiencescape for the service industry.

This conceptual paper analyzes multiple literature studies related to servicescape, experiencescape and other related concepts such as service quality and customer experience for building a comprehensive framework that draws knowledge from both servicescape and experiencescape in an effort to create a collective focus.

Prior research on the components of servicescape and experiencescape raises more questions than answers. The findings of this study highlight the importance of technology as one of the key components of experiencescape to motivate customers to engage in the consumption environment. Furthermore, the proposed conceptual framework provides a detailed discussion and highlights the importance of using servicescape and experiencescape concepts together as a collective framework to bring about greater benefits to the service industry. The proposed framework suggests that these concepts are not only collective but also interrelated.

Technology is not a tool but an important partner for the firm to create the experience. It can bring together marketing, management and operations within the organization to collectively focus on the customer. Collectively designed servicescape and experiencescape will create lasting memories and emotional connections with customers.

Service organizations can develop smart experiencescapes that positively influence customer value cocreation and heighten customer experience by utilizing technology. Managers are advised to understand consumers' emphasis on technological personalization, aesthetics, functionality, interactivity and social presence while participating in cocreation. Technologies may improve the experience by incorporating real-time and less-restrained interactions between consumers and the service organization.

This paper synthesizes insights from the extant literature related to servicescape, service quality, customer experience and experiencescape. Further, it helps to extend the current understanding of experiencescape and calls for the need to incorporate technology as one of the key experience components in the experiencescape concept. Furthermore, this study highlights the importance and the need to bring these two concepts together with a collective focus to enhance value for the customer. Thus, it is argued here that the collective focus of servicescape and experiencescape in the service industry will create new opportunities for further research and practical applications.

A decline in participation in research studies as people age is inevitable as health declines. This paper aims to address this by collecting data from a group of participants to examine their reasons for declining attendance and suggestions for maintaining attendance as participants age.

This research used a postal self-completed questionnaire including open and closed questions. The questionnaire was sent to those participants who have declined to attend further clinic visits. Results were analysed using thematic content analysis.

The study had a 51% response rate. Participants reported difficulty with travelling to the clinic, and health as the main issues in addition to family demands and a lack of understanding regarding the continuing participation of a singleton twin.

This study could only include data from responding participants, answers to open question also included comments from participants regarding their twin.

An anonymous questionnaire was sent to all individuals in the Keeping Together project. It was therefore not possible to identify if responses were from both members of a twin pair.

Maintaining participation in longitudinal studies is of crucial importance to enhance the value of data. Retention of participants in studies may change as people age and health becomes impaired. Suggestions for maintaining and improving the retention of older participants have been identified and are generalisable to other longitudinal studies of ageing.

The behavioral finance literature focuses on the effect of investor sentiment on the fundamental values of individual stocks. This study constructs a firm-level investor sentiment indicator based on transaction and price data for individual firms and shows that credit rating changes affect investor sentiment. We find the following empirical results. First, the response of investor sentiment to upgrades (downgrades) is significantly positive (negative). Second, the greater the magnitude of the downgrade is, the more negative the investor sentiment reaction is, although we do not find a similar result for upgrades. Third, cumulative abnormal returns around the event day are affected by cumulative abnormal sentiment before that day. This result suggests that the market reaction is affected by a combination of credit rating downgrades and investor sentiment.

Stock market has always been lucrative for various investors. But, because of its speculative nature, it is difficult to predict the price movement. Investors have been using both fundamental and technical analysis to predict the prices. Fundamental analysis helps to study structured data of the company. Technical analysis helps to study price trends, and with the increasing and easy availability of unstructured data have made it important to study the market sentiment. Market sentiment has a major impact on the prices in short run. Hence, the purpose is to understand the market sentiment timely and effectively.

The research includes text mining and then creating various models for classification. The accuracy of these models is checked using confusion matrix.

Out of the six machine learning techniques used to create the classification model, kernel support vector machine gave the highest accuracy of 68%. This model can be now used to analyse the tweets, news and various other unstructured data to predict the price movement.

This study will help investors classify a news or a tweet into “positive”, “negative” or “neutral” quickly and determine the stock price trends.

Utilising a database that distinctly classifies firm-level ESG (environmental, social and governance) news sentiment as positive or negative, the authors examine the information flow between the two types of ESG news sentiment and stock returns for 20 companies listed on the Johannesburg Stock Exchange between 2015 and 2021.

The authors use Shannonian transfer entropy to examine whether information significantly flows from ESG news sentiment to stock returns and a modified event study analysis to establish how stock prices react to changes in the two types of ESG sentiment.

Using Shannonian transfer entropy, the authors find that for the majority of the companies studied, information flows from the positive ESG news sentiment to stock returns while only a minority of the companies exhibit significant information flow from negative ESG news sentiment to returns. Furthermore, the study’s findings show significantly positive (negative) abnormal returns on the event date and beyond for both upgrades and downgrades in positive ESG news sentiment.

This study is among the first in an African context to investigate the impact of ESG news sentiment on stock market returns at high frequencies.

This paper analyzes previously unmeasured effects of a response to a service incident called “benevolent” within the customer –firm relationship.

A questionnaire was administered to telecommunication customers in a Western European country, and the model was estimated using partial least squares (PLS).

This study shows that the customer–firm relationship is surprisingly affected by the response to expected incidents that the customer interprets as acts of benevolence or opportunism. This research also shows that the firm's incident response interpreted as benevolence or opportunism has an effect that merely positive or negative events do not. Acts of benevolence response towards an incident positively affect customer–firm relationship quality, and expectations of such acts may lead to an upward spiral in customer commitment.

While benevolence trust has been proposed and studied before, the response to incidents interpreted as benevolent or opportunistic and their consequences have been under-studied, hence exhibiting a research gap.

在公司與顧客之間的關係的範疇內, 公司對服務事故所作的被稱為仁慈的反應的影響不曾被測量; 本研究擬就該反應的影響進行分析和探討。

研究以問卷方式進行¸ 對象為一個西歐國家裏的電訊服務客戶。研究人員使用偏最小平方法作估算, 設計有關的模型。

研究結果顯示、若顧客對公司就預期的事故所作的反應看作是仁慈的話, 又或相反地視為是投機主義所驅使的, 則公司與顧客之間的關係會出人意表地受到影響。研究結果亦顯示、顧客的仁慈、抑或是投機主義的闡釋和理解所帶來的影響, 與單純積極正面事件或消極負面事件所帶來的影響是不一樣的。公司對事件仁厚的回應會給予顧客之間的關係的質量帶來正面的影響; 而且, 對這種回應的預期、或會給客戶承諾帶來螺旋上升。

對仁厚之信賴曾被提出並作探討。唯對被視為仁慈的或機會主義作祟的反應所作的研究則不足, 這方面實存研究缺口。

Might the impact of the global economic policy uncertainty (GEPU) and the long-term bond yields on oil prices be asymmetric? This paper aims to consider the effects of the GEPU and the US long-term government bond yields on oil prices using quantile-based analysis and nonlinear vector autoregression (VAR) model. The author hypothesized whether the negative and positive changes in the GEPU and the long-term bond yields of the USA have different effects on oil prices.

To address this question, the author uses quantile cointegration model and the impulse response functions (IRFs) of the censored variable approach of Kilian and Vigfusson (2011).

The quantile cointegration test showed the existence of non-linear cointegration relationship, whereas Granger-causality analysis revealed that positive/negative variations in GEPU will have opposite effects on oil prices. This result was supported by the quantile regression model’s coefficients and nonlinear VAR model’s IRFs; more specifically, it was stressed that increasing/decreasing GEPU will deaccelerate/accelerate global economic activity and thus lead to a fall/rise in oil prices. On the other hand, the empirical models indicated that the impact of US 10-year government bond yields on oil prices is asymmetrical, while it was found that deterioration in the borrowing conditions in the USA may have an impact on oil prices by slowing down the global economic activity.

As a robustness check of the quantile-based analysis results, the slope-based Mork test is used.