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Past research aimed at service recovery has focused on actions that are taken to retain customers, and the possibility of overcoming the mistakes of service delivery, though the multidimensional nature of the service recovery process has begun to move beyond the complaint handling process. In this paper, we identify the most important issues addressed in service recovery and present a framework for addressing them. We used an extensive integrative review methodology. Between 1988 and 2017 the number of articles in these journals was kept between 26 and 30. The majority took a business perspective to study services recovery, while a minority took an inter-disciplinarity perspective. The study’s findings are expected to provide insights into the antecedents and consequences of service recovery performance, particularly how job resources and demands influence employee burnout and work engagement, which in turn affect service recovery performance and customer perceptions of justice. The research aims to contribute to the discourse on service recovery by building a multi-level model that explains the service recovery performance of frontline employees and the impact of the service recovery system on customer justice perceptions. Thus, this research is expected to contribute to robust conclusions on the antecedents and consequences of employee service recovery performance nested within the unit-level construct, i.e., the service recovery system.

This paper examines current assumptions underlying the team effectiveness literature so as to propose alternative assumptions. Problematization methodology was used to problematize the existing assumptions. Integral Framework was applied to categorize constructs of team effectiveness literature. Alternative assumptions were proposed along with a discussion on their theory generation potential and the potential audience to whom these assumptions would be of benefit. Results of the application of problematization methodology and integral framework have problematized the three current assumptions, i.e.“experienced meaningfulness”, “outside-in” view of team processes, and the impact of “structure on behavior” of team members. Alternative assumptions of “felt meaningfulness”, inside-out’ view of team processes, and the impact of “culture of leadership on behavior” of team members have resulted in relevant research propositions. Limitations and directions for future research are discussed along with theoretical and managerial implications.

Past research aimed at service recovery has focused on actions that are taken to retain customers, and the possibility of overcoming the mistakes of service delivery, though the multidimensional nature of the service recovery process has begun to move beyond the complaint handling process. In this paper, we identify the most important issues addressed in service recovery and present a framework for addressing them. We used an extensive integrative review methodology. Between 1988 and 2017 the number of articles in these journals was kept between 26 and 30. The majority took a business perspective to study services recovery, while a minority took an inter-disciplinarity perspective. The study’s findings are expected to provide insights into the antecedents and consequences of service recovery performance, particularly how job resources and demands influence employee burnout and work engagement, which in turn affect service recovery performance and customer perceptions of justice. The research aims to contribute to the discourse on service recovery by building a multi-level model that explains the service recovery performance of frontline employees and the impact of the service recovery system on customer justice perceptions. Thus, this research is expected to contribute to robust conclusions on the antecedents and consequences of employee service recovery performance nested within the unit-level construct, i.e., the service recovery system.

Past research aimed at service recovery has focused on actions that are taken to retain customers, and the possibility of overcoming the mistakes of service delivery, though the multidimensional nature of the service recovery process has begun to move beyond the complaint handling process. In this paper, we identify the most important issues addressed in service recovery and present a framework for addressing them We used an extensive integrative review methodology . Between 1988 and 2017 the number of articles in these journals was kept between 26 and 30. The majority took a business perspective to study services recovery, while a minority took an inter-disciplinarity perspective. This research aims to investigate the relationship between the constructs in the JD-R Model and employee service recovery performance, and to adopt a multi-actor research design for more accurate measurement. The findings of this study are expected to provide valuable insights into the antecedents and consequences of service recovery performance in the context of the service recovery system This research contributes to the discourse on service recovery on several fronts. First, this research answers the call for building a multi-level model of relevant constructs to explain the service recovery performance of frontline employees in the hospitality sector. Thus, this research is expected to contribute to robust conclusions on the antecedents and consequences of employee service recovery performance nested within the unit-level construct, i.e., the service recovery system.

Given the growing interest and promising preliminary results of immunotherapy in malignant pleural mesothelioma (MPM), it has become important to more fully understand the immune landscape in this tumor. This may be especially relevant in deciding who might benefit most from checkpoint blockade or agonist antibody therapy. Since the phenotype of tumor infiltrating lymphocytes (TILs) in MPM has not been fully described and their function has not been carefully assessed, we collected fresh tumor and blood from 22 patients undergoing surgical resection and analysed single cell suspensions by flow cytometry. The functionality of TILs was assessed by measurement of cytokine expression (IFN-γ) following overnight stimulation ex vivo. Results showed low numbers of CD8+ TILs whose function was either moderately or severely suppressed. The degree of TIL hypofunction did not correlate with the presence of co-existing macrophages or neutrophils, nor with expression of the inhibitory receptors PD-1, CD39 and CTLA-4. Hypofunction was associated with higher numbers of CD4 regulatory T cells (Tregs) and with expression of the inhibitory receptor TIGIT. On the other hand, presence of tissue-resident memory (Trm) cells and expression of TIM-3 on CD8+ cells were positively associated with cytokine production. However, Trm function was partially suppressed when the transcription factor Eomesodermin (Eomes) was co-expressed. Understanding the function of TILs in malignant mesothelioma may have clinical implications for immunotherapy, especially in choosing the best immunotherapy targets. Our data suggests that Treg cell blocking agents or TIGIT inhibitor antibodies might be especially valuable in these patients.

Abstract The cashew industry produces extremely toxic effluent that seriously endangers life. Furthermore, cashew nut shell liquid (CNSL) a by-product, from the cashew industry is underutilized resulting in its presence in effluent. This liquid is extremely toxic and poses a threat to the environment if discharged without removal. Therefore, this comprehensive review delves into the intricacies of cashew nut processing, with a particular focus on the production of CNSL, its chemical profiling, and the imperative need for thorough characterization to ascertain its chemical composition. The manuscript underscores the potential of CNSL as a promising solution in the agricultural sector due to its skyrocketing potential as an insecticidal, fungicidal, antioxidant, anticorrosive, and termite resistant, and its ability to be blended with biodiesel as it improves lubrication properties in comparison with traditional diesel and helps extend the lifespan of engines, further necessitating minimal maintenance. It explores the necessity for chemical modifications in CNSL, presenting recent insights and advancements, particularly in the realm of phyto-nano-emulsions of CNSL with increased bioavailability. Additionally, it highlights the burgeoning role of artificial intelligence and machine learning models in predicting CNSL emissions, yield, crop health, and cashew kernel quality checks, offering a holistic decision support system for supply chain optimization. By succinctly mapping out the roadmap for CNSL production, chemical enhancements, and its application as an antifungal agent, the manuscript advocates for the integration of AI and ML to enhance agricultural outcomes and boost farmers' profits.

Previous research on customer loyalty primarily viewed it within the framework of constructs at the individual level of analysis. Consequently, prior research has ignored service recovery performance and customer loyalty nested within the branch-level studies of retail banks. However, this multilevel analysis examined how the service recovery system influences customer-level outcomes. Multilevel analysis determined the relationship between the Level 2 and Level 1 constructs. A sample of 1514 responses was drawn from Indian branch heads, frontline employees, and customers of retail banks. This study used a multilevel approach to understand the macro- and micro-level dynamics of service recovery in retail banking. These findings emphasize the importance of effective service recovery systems, standardized definitions, and standardized measurements. This approach allows for a comprehensive examination of the impact of the service recovery system on service recovery performance, recovery satisfaction, and customer service loyalty by considering the nested structure of the data and the influence of higher-level variables on lower-level variables. This study calls for retail banks to invest in well-managed service recovery, recognize and reward employees for exceptional performance, and continuously monitor customer complaints to identify areas for improvement.