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Drawing upon the stimulus-organism-response model, this study aims to explore the impact of soft aspects of service quality on revisit intention through the mechanism of perceived empathy.

For the examination of the hypothesized relationships, the study adopts structural equation modelling to analyse the data of 562 respondents (i.e. 281 family members and 281 inpatients).

The empirical results suggest that service quality increased family member empathy perception, which, in turn, improved inpatients’ revisit intentions.

Past studies have focused on the roles of overall service quality. The authors have extended the literature by examining the specific but important aspect of service quality and its effects on emotional response. Importantly, the study explains that the affective reactions of a patient’s family, fastened with perceived empathy, have a central role in influencing the patients’ subsequent reactions. Moreover, the prior studies collected the data either from hospital employees or patients. However, in the present study, the authors used a unique sample (family members as well as patients) to have a deeper understanding. Thus, the study enhances the literature on the stimuli-response (i.e. service quality – revisit intentions) relationship in the context of service marketing in general and health care in specific. Important academic and managerial contributions and recommendations for future research are discussed.

The purpose of this study is to increase the resilience capacity of residential health-care professionals to achieve intrapreneurial development in workers. Through training based on the development of emotional competencies and the application of mindfulness techniques, the aim is for the individual to become aware of his or her role, learn to manage emotions and reduce feelings of distress and anxiety.

The proposed programme has a duration of eight weeks. Every four days of training, mindfulness sessions are integrated, and at the beginning and end of the working day, 10 min are spent with superiors to give feedback on what happened during the day and the setting of new objectives. A control group is also established where they do not undergo such training. After the delivery of the programme, the results obtained after the application of the methodology to a sample of 91 residential health-care professionals are presented. By means of a validated resilience questionnaire composed of 25 items, the aim is to measure the resilience capacity of the participants before and after training and to observe the impact of the programme.

The results of this study show that the training has led to an improvement in the overall resilience capacity by 3.93% and has been able to reduce the existing gap between those over 45 years of age and younger people, although the age-related variable still represents a significant difference.

This study provides an innovative way of fostering entrepreneurship. While participants work on resilience management through mindfulness techniques, organisational commitment is achieved.

The purpose of this research is to examine the narratives of victims of abusive supervision. We explore the meaning or “lessons” victims derive from those experiences and how they shape the victims’ views of self, work and organization in relation to navigating their subsequent jobs.

We analyzed how appraisals of supervisory abuse transform victims’ narratives and their consequent work attitudes through sensemaking processes. Semi-structured interviews with the past victims of abusive supervision generated a four-stage model of how sensemaking shapes victims’ future work attitudes. Our interpretations were guided through narrative thematic analysis based on the constructionist approach.

Victims’ lessons learned are predominantly framed by their retrospective post-event appraisal of abuse (based on its severity) once individuals are no longer subject to abusive supervision. With greater distance from the abuse, victims can process the abuse and better understand the motivation of the abuser, enabling the process of causal attributions. These attributions further shape victims’ narratives and future work attitudes through a complex interplay of retrospective and prospective sensemaking mechanisms. The victims broadly reported proactive (with higher self-awareness and endurance) and reactive (self-protection, and emotional scars) lessons. A four-stage model was proposed based on our findings.

Abusive supervision remains a persistent issue experienced by many individuals at some point in their working life. However, little is known about how victims make sense of the event post-abuse and how this sense-making guides their future work behaviors. Understanding this phenomenon provides insight into how employees navigate through adversity and construct a more positive future. The contribution of this narrative inquiry is threefold. First, it explores how individual appraisals of supervisory abuse frame their (1) mechanisms of narrative construction; and (2) future work attitudes. Second, our findings demonstrate how narrative construction is a fluid process often informed by the process of retrospective and prospective sensemaking. Finally, our research suggests two broader categories of lessons that victims internalize and carry forward to their subsequent jobs.

This paper aims to provide scholars with a deep understanding of the field through the identification of strengths and weaknesses in the literature and support decision-makers in the development of new practices in local risk management based on scientific data. The specific question in this review asks: what are the drivers and barriers to local risk management?

This paper provides an overview of the scientific literature produce over the past 20 years of the divers and barriers to local risk management. This paper presents a scoping review of peer-reviewed articles published between 2000 and 2019 inclusively in the fields of public policy and public administration.

This paper makes three main observations regarding the state of the literature. First, this paper finds that scholars mainly focus on single risk and certain regions of the world. Second, there is multiple approached used by the literature to study risk management at the local level. Third, little attention is given to the political context in which local risk management takes place.

This paper is a complete literature review of more than 500 peer-reviewed articles published in academic journals regarding risk prevention policies over the past two decades. This paper analyzed the main findings of the current literature to provide a general view of the scholarship and improve the collective understanding of risk management at the local level by providing future research avenues.

The purpose of this study is to develop a conceptual model explicating the development of expatriate social capital and its influence on expatriate effectiveness in terms of knowledge transfer and adjustment. Drawing upon social capital theory and weak tie theory, we elucidate the process through which expatriate social capital facilitates expatriate knowledge transfer and adjustment via greater access of role information and social support.

This study reviews and distills research on expatriate social capital development and proposes a conceptual model of expatriate effectiveness and suggests potential research avenues for global mobility scholars.

This study contributes to the understanding of the development of expatriate social capital in the host country and its impacts on expatriate effectiveness as a process. With regard to expatriates’ social capital accumulation, this study also highlights the important but less-known role of accompanying spouse/family members as expatriates’ weak tie enablers. We articulate a framework that outlines the sources of social capital for expatriates and the processes through which social capital transmits (via expatriates’ access to role information and social support) and then enhances expatriate effectiveness. This conceptual model aims to establish a basic “roadmap” for use by practitioners and researchers.

Before the proposed conceptual model can be theoretically refined or extended by future research, its veracity needs to be tested empirically. Although we do not incorporate “time,” “personal characteristics” and “context” in our model, we recognize their potential importance and urge future researchers to incorporate them in studying the role of social capital on expatriate effectiveness.

A conceptual model is presented that enables multinational corporations (MNCs) to map their current (and future) strategies to enhance expatriate effectiveness by further strengthening the expatriate social capital.

Drawing upon social capital theory and weak tie theory, this paper links various sources of expatriate social capital to expatriates’ access to role information and social support in supporting expatriate effectiveness. From this, several avenues of future research are drawn.

There is emerging evidence in the accounting literature that investors react negatively to corporate greenwashing. But does that hold for all investors, or do different types of investors react differently? This paper aims to study retail investors’ responses to media reports on corporate greenwashing and how these responses depend upon the investors’ social value orientation. The authors argue that media reporting on corporate greenwashing negatively affects the rationale for allocating funds to firms engaging in greenwashing. The authors also expect this reaction to be stronger for prosocial investors compared to proself investors.

The authors conduct an online experiment with 229 participants representing retail investors in the German-speaking countries.

The results show that retail investors who received media reports on deceptive disclosure invest more funds in the company that does not engage in greenwashing (and less in the firm that engages in greenwashing) than investors who did not receive these reports. The authors’ results provide novel evidence that this effect primarily holds for investors with a prosocial value orientation. Finally, the authors’ data show that lower trust in the firm that engages in greenwashing partially mediates the effect of media reports on investor choices.

The authors provide unique evidence how different types of investors react to media reports on greenwashing. The authors find that moral motives, rather than risk-return considerations, drive investor responses to greenwashing. Overall, these findings support the important function of the media as an intermediary in stock market participation and highlight the pivotal role of individual traits in investors’ responses to greenwashing.

This paper is a critique of Western modernity and the problems and promises of postmodernism in (re)liberating disaster studies. It criticizes metanarratives and grand theories of Western discourses to advance postmodern discourses in disaster studies.

This paper outlines a conceptual domain through which approaches of postmodernism can be employed to (re)liberate disaster studies.

Metanarratives and grand theories frame the scope and focus of disaster studies. But the increasing number and the aggravated impacts of disasters and environmental challenges in the late 20th and early 21st centuries are proofs that our current “frames” do not capture the complexities of disasters. Postmodernism, in its diversity and various meanings, offers critical and complementary perspectives and approaches to capture the previously neglected dimensions of disasters.

Postmodernism offers ways forward to (re)liberate disaster studies through ontological pluralism, epistemological diversity and hybridity of knowledge.

The agenda of postmodernism in disaster studies is proposed in terms of the focus of inquiry, ontological and epistemological positionalities, research paradigm, methodologies and societal goals.

The phenomenon of growth spillover occurs because of domestic shocks, global shocks and shocks to a foreign country or region, and these are transmitted through specific channels. This study investigates the strength of the economic linkages between Caribbean Community (CARICOM) economies and its main traditional partners, including the European Union (EU-27), and emerging trading partners, such as China, with a view to determining the presence and extent of spillover growth which results from the interdependence among these economies. The paper hypothesizes that the presence of these spillovers can be leveraged to chart the future for the region's integration in the global sphere.

Based on the existing theoretical and empirical literature, a structural vector autoregressive (SVAR) model was developed and employed to examine the strength of the economic linkages between CARICOM economies and its main trading partners, such as the United States (US), the United Kingdom (UK) and the EU-27, alongside some of the non-traditional partners such as China. This method has been widely used by institutions, such as the International Monetary Fund (IMF) and World Bank, to profile economic linkages between economies. To this end, the methodology was formulated based on the IMF Spillover Reports which were produced from 2011 to 2015.

The model suggests that positive spillovers are likely to occur from continued deepened integration with the US, EU-27 and the UK, as traditional trade partners, but that opportunities also exist from a deliberate deepening of relations with non-traditional trade partners, for example, China. This becomes even more apparent when CARICOM is separated into categories consisting of more developed countries (MDCs) and less developed countries (LDCs). In addition, from the perspective of any trading partner, such as those in the EU-27, this research is relevant and timely as it contributes to the landscape of literature, which can be utilized for the purpose of negotiating parameters of trade and integration arrangements.

This study adds to the literature on evaluating the direction for deepened integration of CARICOM economies, both with selected traditional and non-traditional trade partners as the region pilots recovery in a post-pandemic global space.

Policymakers can use the results of this study to leverage economic spillovers as a basis for determining which trade partners offer the most significant growth benefits as the region recovers from the COVID-19 pandemic and it will also assist in steering regional integration. This result also implies that over time, the comparative advantage structure of CARICOM member countries' export profile should change to reflect the import profile of its trade partners. To this end, this study can be used to inform and better position the respective trade and industrial development policies of countries in the Caribbean region as they attempt to deepen integration regionally and internationally. From the perspective of the partner, traditional trading relationships such as those which exist with European countries, such as the CARIFORUM-EU Economic Partnership Agreement, can be more deliberately utilized given the geographic benefits on offer with deepened relationships with economies in the Caribbean. Further, this research can also be a point of departure for future research.

This study is among the few empirical works that examine spillover effects as a strategy for rebuilding economic growth in the post-COVID 19 era. This study adds to the literature on evaluating the direction for deepened integration of CARICOM economies, both with selected traditional and non-traditional trade partners as the region navigates recovery in a post-pandemic global space.

In time and accurate detection of cancer can save the life of the person affected. According to the World Health Organization (WHO), breast cancer occupies the most frequent incidence among all the cancers whereas breast cancer takes fifth place in the case of mortality numbers. Out of many image processing techniques, certain works have focused on convolutional neural networks (CNNs) for processing these images. However, deep learning models are to be explored well.

In this work, multivariate statistics-based kernel principal component analysis (KPCA) is used for essential features. KPCA is simultaneously helpful for denoising the data. These features are processed through a heterogeneous ensemble model that consists of three base models. The base models comprise recurrent neural network (RNN), long short-term memory (LSTM) and gated recurrent unit (GRU). The outcomes of these base learners are fed to fuzzy adaptive resonance theory mapping (ARTMAP) model for decision making as the nodes are added to the F_2ˆa layer if the winning criteria are fulfilled that makes the ARTMAP model more robust.

The proposed model is verified using breast histopathology image dataset publicly available at Kaggle. The model provides 99.36% training accuracy and 98.72% validation accuracy. The proposed model utilizes data processing in all aspects, i.e. image denoising to reduce the data redundancy, training by ensemble learning to provide higher results than that of single models. The final classification by a fuzzy ARTMAP model that controls the number of nodes depending upon the performance makes robust accurate classification.

Research in the field of medical applications is an ongoing method. More advanced algorithms are being developed for better classification. Still, the scope is there to design the models in terms of better performance, practicability and cost efficiency in the future. Also, the ensemble models may be chosen with different combinations and characteristics. Only signal instead of images may be verified for this proposed model. Experimental analysis shows the improved performance of the proposed model. This method needs to be verified using practical models. Also, the practical implementation will be carried out for its real-time performance and cost efficiency.

The proposed model is utilized for denoising and to reduce the data redundancy so that the feature selection is done using KPCA. Training and classification are performed using heterogeneous ensemble model designed using RNN, LSTM and GRU as base classifiers to provide higher results than that of single models. Use of adaptive fuzzy mapping model makes the final classification accurate. The effectiveness of combining these methods to a single model is analyzed in this work.

The response of the receiver to a voiced patient safety concern is frequently cited as a barrier to health professionals speaking up. The authors describe a novel Receiver Mindset Framework (RMF) to help health professionals understand the importance of their response when spoken up to.

The framework draws on the broader receiver-focussed literature and integrates innovative findings from a series of empirical studies. These studies examined different receiver behaviour within vignettes, retrospective descriptions of real interactions and behaviour in a simulated interaction.

The authors' findings indicated that speaking up is an intergroup interaction where social identities, context and speaker stance intersect, directly influencing both perceptions of and responses to the message. The authors' studies demonstrated that when spoken up to, health professionals poorly manage their emotions and ineffectively clarify the speaker's concerns. Currently, targeted training for receivers is overwhelmingly absent from speaking-up programmes. The receiver mindset framework provides an evidence-based, healthcare specific, receiver-focussed framework to inform programmes.

Grounded in communication accommodation theory (CAT), the resulting framework shifts speaking up training from being only speaker skill focussed, to training that recognises speaking up as a mutual negotiation between the healthcare speaker and receiver. This framework provides healthcare professionals with a novel approach to use in response to speaking up that enhances their ability to listen, understand and engage in point-of-care negotiations to ensure the physical and psychological safety of patients and staff.