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Kupferstein (2018) surveyed 460 respondents and found that 46 percent of respondents met the diagnostic threshold for posttraumatic stress disorder after exposure to applied-behavior-analysis-based intervention. The purpose of this paper is to provide an evaluation a critical analysis of Kupferstein (2018) including the experimental methods and discussion of the results.

The authors evaluated the Kupferstein’s methodological rigor with respect to the use of hypothesis testing, use of indirect measures, selection of respondents, ambiguity in definitions, measurement system, and framing of the experimental question when conducting the correlational analysis in addition to Kupferstein’s analysis and discussion of the results.

Based upon the analysis, Kupferstein’s results should be viewed with extreme caution due to several methodological and conceptual flaws including, but not limited to, leading questions used within a non-validated survey, failure to confirm diagnosis, and incomplete description of interventions.

It is the authors’ hope that this analysis provides caregivers, clinicians, and service providers with a scientific lens which will useful in viewing the limitations and methodological flaws of Kupferstein.

As the superiority of sports celebrities' endorsements has been questioned, the purpose of this study is to identify various types of endorsers' direct and indirect effects on consumers' purchase intentions.

Empirical data were collected from 240 useful responses to an online experiment, and research hypotheses were tested using (moderated) serial mediation analyses.

The study's findings indicate that an endorser has a positive influence on consumers' purchase intentions through their perceptions of the advertisement and the endorsed brand. A moderated serial mediation analysis finds differences in the four types of endorsers analyzed. A sports celebrity is the most effective type of endorser in increasing consumers' purchase intentions, whereas endorsements by company managers and peer consumers, while also positive, are less effective in influencing advertising outcomes. An expert's endorsement is comparable to that of a manager but not significant.

The generalizability of the study's findings is limited because of a restricted data sample, the use of fictitious endorsers and the limited number of product categories and brands analyzed.

The study systematically analyzes the behavioral influence of four types of endorsers on consumers' purchase intentions, mediated by their perceptions of the advertisements and the endorsed brand. The results of this analysis extend the current state of endorsement research, indicating that endorsements should be integrated into companies' marketing strategies and provide marketing professionals practical guidance on which type of endorser is most effective in influencing advertising outcomes.

The purpose of this study is to understand the profit implications of analytics-driven centralized discriminatory pricing at the headquarter level compared with sales force price delegation in the purchase of an aftermarket good through an indirect retail channel with symmetric information.

Using individual-level loan application and approval data from a North American financial institution and segment-level customer risk as the price discrimination criterion for the firm, the authors develop a three-stage model that accounts for the salesperson’s price decision within the limits of the latitude provided by the firm; the firm’s decision to approve or not approve a sales application; and the customer’s decision to accept or reject a sales offer conditional on the firm’s approval. Next, the authors compare the profitability of this sales force price delegation model to that of a segment-level centralized pricing model where agent incentives and consumer prices are simultaneously optimized using a quasi-Newton nonlinear optimization algorithm (i.e. Broyden–Fletcher–Goldfarb–Shanno algorithm).

The results suggest that implementation of analytics-driven centralized discriminatory pricing and optimal sales force incentives leads to double-digit lifts in firm profits. Moreover, the authors find that the high-risk customer segment is less price-sensitive and firms, upon leveraging this segment’s willingness to pay, not only improve their bottom-line but also allow these marginalized customers with traditionally low approval rates access to loans. This points out the important customer welfare implications of the findings.

Substantively, to the best of the authors’ knowledge, this paper is the first to empirically investigate the profitability of analytics-driven segment-level (i.e. discriminatory) centralized pricing compared with sales force price delegation in indirect retail channels (i.e. where agents are external to the firm and have access to competitor products), taking into account the decisions of the three key stakeholders of the process, namely, the consumer, the salesperson and the firm and simultaneously optimizing sales commission and centralized consumer price.

This paper examines Malaysia's perception of China following the Asian Financial Crisis. The Asian Financial Crisis, which occurred in 1997, resulted in a contraction in Malaysia's GDP, which resulted in increased unemployment in Malaysia. China is a rising economy. Several bilateral visits and trade missions meet both states to achieve an advantageous economic position. Malaysia's decision to rely on China despite historical events that had sparked tensions between the two countries. Despite Malaysia's economic downturn, the country is taking swift action to address the issue. During the crisis, Malaysia viewed Western countries as irresponsible and allowed the situation to deteriorate, which later became the reason for Malaysia's relationship with China. The crisis, however, has influenced Malaysian Chinese businesses to improve their foreign policy and bilateral relations. This paper contends that Malaysia recognizes the importance of its bilateral relationship with China in stabilizing its economic development and social activity following the crisis.

Social exchange theory predicts that perceptions of employee/employer exchange relationships may change as employees add educational qualifications. Literature also suggests that more innovative individuals, who are particularly important to organisations, may be more likely to change jobs. The purpose of this study is to test how the innovativeness of an individual differs in its contribution to retention when subjected to different mediating and moderating influences indicated in the literature, for a cohort of employees that are undertaking degree studies while working.

To test theory that suggests certain implications for employee turnover, the part-time studies unit of a large South African university offering degree studies by evening classes was sampled, yielding 323 useable responses, with a response rate of about 30%. Structural equation modelling (SEM) is used to test a theoretical model predicting certain mediating and moderating influences on the relationship between individual innovativeness and turnover intentions.

Individuals with higher innovativeness self-report higher turnover intentions, which seem to be reduced by the mediating effects of perceived supervisor support and job satisfaction. Perceptions of distributive justice and core self-evaluations, which may be associated with an individual's evaluation of the social exchange relationship, are found to directly enable retention.

A model of moderation and mediation relationships between employee innovativeness and turnover intentions is derived from the literature and tested, offering novel insights into how to retain valuable staff in this context.

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.

The purpose of this paper is to compare and evaluate how the governments in six Asian countries have dealt with selected grand corruption scandals.

This paper is based on the comparative analysis of 11 corruption scandals examined in the six articles on India, Japan, Macau, Malaysia, Philippines and Singapore included in this special issue of Public Administration and Policy.

The responses of the governments in the six countries depend on the strength of their political will in combating corruption. The responses of the governments in Malaysia, Philippines, India and Japan reflect their weak political will in combating corruption and lack of accountability of the corrupt offenders. By contrast, the strong political will of the governments in Singapore and Macau is reflected in the investigation and punishment of the corrupt offenders without any cover-up of the scandals.

The findings would be of interest to scholars, policymakers and anti-corruption practitioners and activists.

This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI). With HTR now achieving high levels of accuracy, we consider its potential impact on our near-future information environment and knowledge of the past.

In undertaking a more constructivist analysis, we identified gaps in the current literature through a Grounded Theory Method (GTM). This guided an iterative process of concept mapping through writing sprints in workshop settings. We identified, explored and confirmed themes through group discussion and a further interrogation of relevant literature, until reaching saturation.

Catalogued as part of our GTM, 120 published texts underpin this paper. We found that HTR facilitates accurate transcription and dataset cleaning, while facilitating access to a variety of historical material. HTR contributes to a virtuous cycle of dataset production and can inform the development of online cataloguing. However, current limitations include dependency on digitisation pipelines, potential archival history omission and entrenchment of bias. We also cite near-future HTR considerations. These include encouraging open access, integrating advanced AI processes and metadata extraction; legal and moral issues surrounding copyright and data ethics; crediting individuals’ transcription contributions and HTR’s environmental costs.

Our research produces a set of best practice recommendations for researchers, data providers and memory institutions, surrounding HTR use. This forms an initial, though not comprehensive, blueprint for directing future HTR research. In pursuing this, the narrative that HTR’s speed and efficiency will simply transform scholarship in archives is deconstructed.

The purpose of this study is to assess the contributions of graduate research to social innovation and change for learning and improved transdisciplinary practice. Universities, as centers of teaching and research, face high demand from society to address urgent social and environmental challenges. Faculty and students are keen to use their research to contribute to social innovation and sustainable development. As part of the effort to increase societal impact, research approaches are evolving to be more problem-oriented, engaged and transdisciplinary. Therefore, new approaches to research evaluation are also needed to learn whether and how research contributes to social innovation, and those lessons need to be applied by universities to train and support students to do impactful research and foster an impact culture.

This paper uses a theory-based evaluation method to assess the contributions of three completed doctoral research projects. Each study documents the project’s theory of change (ToC) and uses qualitative data (document review, surveys and interviews) to test the ToC. This paper uses a transdisciplinary research (TDR) quality assessment framework (QAF) to analyze each projects’ design and implementation. This paper then draws lessons from the individual case studies and a comparative analysis of the three cases on, namely, effective research design and implementation for social transformation; and training and support for impactful research.

Each project aimed to influence government policy, organizational practice, other research and/or the students’ own professional development. All contributed to many of their intended outcomes, but with varying levels of accomplishment. Projects that were more transdisciplinary had more pronounced outcomes. Process contributions (e.g. capacity-building, relationship-building and empowerment) were as or more important than knowledge contributions. The key recommendations are for: researchers to design intentional research, with an explicit ToC; higher education institutions (HEI) to provide training and support for TDR theory and practice; and HEIs to give more attention to research evaluation.

This is the first application of both the outcome evaluation method and the TDR QAF to graduate student research projects, and one of very few such analyses of research projects. It offers a broader framework for conceptualizing and evaluating research contributions to social change processes. It is intended to stimulate new thinking about research aims, approaches and achievements.

This paper aims to examine the relationship between surface acting (SA), deep acting (DA) and organizational commitment (OC).

Guided by affective events theory, the study adapted emotional labour scale and three components model to profile 373 teachers from 30 schools around Peninsular Malaysia. A list-based simple random sampling technique was used to select respondents. Structural equation modeling (SEM) was used to test hypotheses, and the proposed model was assessed through renowned fit indices.

OC was hypothesized as a second-order construct. SEM result indicates that both SA and DA have significant negative relationship with OC. Fit indices of the hypothesized model showed χ²/df ratio (560.069/265) = 2.113, RMSEA (0.055), and CFI (0.936). This result provides empirical support for the data collected.

The study provides new insight on the ongoing debate about SA and DA. Therefore, it advances body of research in this regard. The implication for HR managers is that strategic polices can be institutionalized to buffer the consequences of SA and DA. This is due to the fact that SA and DA may not be abolished for service employees like teachers. The practical implication for teachers is the understanding that emotional regulation process is inevitable because teaching is profoundly an emotional activity job. Besides being a cross-sectional study, the sampled population may have limited the study’s outcomes.

Given existing inconsistent results on the consequences of SA and DA, this study shows that not only SA can lead to negative after-effects, DA can also cause the same. Future study can explore spiritual intelligence to examine how best SA and DA can be performed at reduced consequences on OC.