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This study explores how chatbot gender and symbolic service recovery may improve the satisfaction of angry customers in the context of service failures. It provides a strategy for companies to deploy chatbots effectively in customer anger.

This research relies upon a systematic literature review to propose three hypotheses, and we recruit 826 participants to examine the effect of chatbot gender on angry customers through one lab study and one field study.

This research shows that female chatbots are more likely to increase the satisfaction of angry customers than male chatbots in service failure scenarios. In addition, symbolic recovery (apology vs. appreciation) moderates the effect of chatbot gender on angry customers. Specifically, male (vs. female) chatbots are more effective in increasing the satisfaction of angry customers when using the apology method, whereas female (vs. male) chatbots are more effective when using the appreciation method.

The rapid advancements in artificial intelligence technology have significantly enhanced the effectiveness of chatbots as virtual agents in the field of interactive marketing. Previous research has concluded that chatbots can reduce negative customer feedback following a service failure. However, these studies have primarily focused on the level of chatbot anthropomorphism and the design of conversational texts, rather than the gender of chatbots. Therefore, this study aims to bridge that gap by examining the effect of chatbot gender on customer feedback, specifically focusing on angry customers following service failures.

This study aims to invoke social comparison theory and researches mainly on leaders’ downward envy at workplaces in a collectivist culture. The study also aims to infer and explain the constructive and destructive behaviour of benign envy (BE) and malicious envy (ME) in the workplace by studying supervisor-subordinate dyads.

A survey was conducted to test the proposed hypotheses. The sample included 352 randomly chosen supervisor-subordinate dyads from registered software houses in Pakistan. Partial least square SEM was used to test the proposed model and hypotheses.

This research identified that the leaders' gratitude and workplace friendship encourage leaders to adopt a levelling-up strategy to encounter benign envy (BE). In contrast, subordinates’ low level of loyalty and affect towards supervisors cause ME. The study also found that BE motivates frustrated supervisors to behave positively, whereas ME triggers the envious supervisor to threaten their aides with abusive supervision. However, envious supervisors with high core self-evaluation and gratitude are more likely to reflect self-improvement.

This study gives key insights to organisations on recognising the potential of downward envy, using it purposefully, and managing the consequences constructively. For instance, organizations could train leaders to understand the holistic view of downward envy to help them focus on self-improvement instead of abusing employees. In addition, training employees on envy could help them demonstrate warmth and competence.

The study is original and valuable in three aspects. Theoretically, this study develops a generic framework for dealing with downward envy. Contextually, the study brings a piece of evidence from software houses in Asia to study downward envy. Practically, this study suggests tactics to deal with downward envy in family-owned tech firms operating in emerging markets.

There is a dearth of empirical research examining the influence of various facets of sustainable banking on the environmental sustainability performance (SP) of banks in developing economies like Bangladesh. This study looks at how green banking practices (GBPs), green finance (GF) and corporate social responsibility (CSR) practices affect SP in both direct and indirect ways.

The research framework of this study was designed based on legitimacy theory to examine the direct and indirect impacts of GBP on environmental SP through GF and CSR practices. Based on a structured questionnaire and convenience sampling, the data were collected from banking institutions to investigate the association among the study variables. Subsequently, the obtained data were evaluated using a well-established structural equation modeling (SEM) approach via SmartPls 4.0 software.

The empirical findings reveal that GBP has a significant direct impact on GF, CSR practices and the banks' SP. Further, the findings show that GF has a direct and significant impact on CSR practices and SP. Likewise, CSR practices have a direct and significant influence on the SP of banks. Additionally, among indirect effects, both CSR practices and GF mediate the association between GBP and SP, whereas GF also has an indirect effect on the relationship between GBP and CSR practices. Surprisingly, the findings demonstrate that CSR practices do not have an indirect effect on the association between GF and SP. Hence, the greater the bank's involvement in green banking activities, the greater the influence of green financing and CSR practices on environmental sustainability.

This study adds to the growing body of research in the areas of sustainable banking and environmental sustainability literature by evaluating the link between GBP, CSR practices, GF and SP. Besides, this is a ground-breaking study that examines both direct and indirect effects of different aspects of sustainable banking (GBP, GF and CSR practices) on the SP of the banking industry in an emerging country like Bangladesh. On the theoretical level, it adds to the application and expansion of legitimacy theory in the sphere of banking and finance. It provides new insights into the dynamics of green banking, GF and CSR practices within the framework of legitimacy theory. Hence, the current study offers significant suggestions to managers, academicians and researchers on how to advance the sustainability of the banking industry by adopting green banking, GF and CSR practices.

The global emphasis on sustainability is driving organizations to embrace financial technology (Fintech) solutions as a means of enhancing their sustainable performance. This study seeks to unveil the intermediary role played by green finance and competitiveness, along with the moderating impact of digital transformation (DT), in the intricate relationship between Fintech adoption and sustainable performance.

Drawing on existing literature, we construct a comprehensive conceptual framework to thoroughly analyse these interconnected variables. To empirical validate of our model, a dual structural equation modelling–artificial neural network) SEM–ANN approach was employed, adding a robust layer of validation to our study’s proposed framework. A sample of 438 banking employees in Pakistan was collected using a simple random sampling technique, with 411 samples deemed suitable for subsequent analysis. Initially, data scrutiny and hypothesis testing were carried out using Smart-PLS 4.0 and SPSS-23. Subsequently, the ANN technique was utilized to assess the importance of exogenous factors in forecasting endogenous factors.

The findings from this research underscore the direct and significant influence of Fintech adoption and DT on the sustainable performance of banks. Notably, green finance and competitiveness emerge as pivotal mediators, bridging the gap between Fintech adoption and sustainable performance. Moreover, DT emerges as a critical moderator, shaping the relationships between Fintech adoption and both green finance and competitiveness. The integration of the ANN approach enhances the SEM analysis, providing deeper insights and a more comprehensive understanding of the subject matter.

This study contributes to the enhanced comprehension of Fintech, green finance, competitiveness, DT and the sustainable performance of banks. Recognizing the importance of amalgamating Fintech adoption, green finance and transformational leadership becomes essential for elevating the sustainable performance of banks. The insights garnered from this study hold valuable implications for policymakers, practitioners and scholars aiming to enhance the sustainable performance of banks within the competitive business landscape.

The purpose of the present work is to study the impacts of rapid cooling and Tb rare-earth additions on the structural, thermal and mechanical behavior of Bi–0.5Ag lead-free solder for high-temperature applications.

Effect of rapid solidification processing on structural, thermal and mechanical properties of Bi-Ag lead-free solder reinforced Tb rare-earth element.

The obtained results indicated that the microstructure consists of rhombohedral Bi-rich phase and Ag99.5Bi0.5 intermetallic compound (IMC). The addition of Tb could effectively reduce the onset and melting point. The elastic modulus of Tb-containing solders was enhanced to about 90% at 0.5 Tb. The higher elastic modulus may be attributed to solid solution strengthening effect, solubility extension, microstructure refinement and precipitation hardening of uniform distribution Ag99.5Bi0.5 IMC particles which can reasonably modify the microstructure, as well as inhibit the segregation and hinder the motion of dislocations.

It is recommended that the lead-free Bi-0.5Ag-0.5Tb solder be a candidate instead of common solder alloy (Sn-37Pb) for high temperature and high performance applications.

This volume was born out of two considerations. On the one hand, we recognized how the identity boundaries that define Organization Theory and Strategy are crucial to emphasize the distinctiveness of these different research traditions, facilitate our engagement with them, and delineate our contributions. On the other, we felt a growing need to cross those boundaries, and broaden the conversation between these fields. Our wish thus was to create a forum where Organization Theory and Strategy may meet and bring together some of the scholars who work at the intersection between these fields. In this introductory piece we share our understanding of what may distinguish Organization Theory from Strategy, and also illustrate how the research intersection between those fields looks like. In closing the chapter, we explain how the different contributions to this volume map onto one another and elaborate on several avenues of future development.

This study aims to understand the learner behaviour of millennials for Massive Open Online Courses (MOOCs) in the post-adoption stage by extending the theory of Unified Theory of Acceptance and User Technology 2 (UTAUT2) with expectancy confirmation model (ECM) along with personal innovativeness as the exogenous, satisfaction as a mediating and continued intention as an endogenous construct.

This study applied a cross-sectional research design by using a survey method to collect primary data with a structured questionnaire. Convenience sampling was used to collect data from millennial MOOC users, and partial least square structural equation modelling method was applied for data analysis.

The results indicate that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation influence satisfaction. Similarly, performance expectancy, hedonic motivation, personal innovativeness and satisfaction influence the continued intention for MOOCs.

In terms of limitations, the study applied a cross-sectional research design that could lead to data collection bias. Similarly, the study used convenience sampling as the authors did not have access to the participant list of users from MOOC platforms.

The research highlights various insights to all the stakeholders on improving MOOC satisfaction and enhance the continued intention for millennial learners.

The findings of this research bridge this gap by examining the post-adoption usage behaviour of MOOCs by extending the baseline model of UTAUT2 with personal innovativeness and integrating it with ECM.

Image Processing is an emerging field that is used to extract information from images. In recent years, this field has received immense attention from researchers, especially in the research domains of object detection, Biomedical Imaging and Semantic segmentation. In this study, a bibliometric analysis of publications related to image processing in the Science Expanded Index Extended (SCI-Expanded) has been performed. Several parameters have been analyzed such as annual scientific production, citations per article, most cited documents, top 20 articles, most relevant authors, authors evaluation using y-index, top and most relevant sources (journals) and hot topics.

The Bibliographic data has been extracted from the Web of Science which is well known and the world's top database of bibliographic citations of multidisciplinary areas that covers the various journals of computer science, engineering, medical and social sciences.

The research work in image processing is meager in the past decade, however, from 2014 to 2019, it increases dramatically. Recently, the IEEE Access journal is the most relevant source with an average of 115 publications per year. The USA is most productive and its publications are highly cited while China comes in second place. Image Segmentation, Feature Extraction and Medical Image Processing are hot topics in recent years. The National Natural Science Foundation of China provides 8% of all funds for Image Processing. As Image Processing is now becoming one of the most critical fields, the research productivity has enhanced during the past five years and more work is done while the era of 2005–2013 was the area with the least amount of work in this area.

This research is novel in this regard that no previous research focuses on Bibliometric Analysis in the Image Processing domain, which is one of the hot research areas in computer science and engineering.

This study aims to examine the impact of environmental sustainability, social sustainability and corporate reputation on the business performance of energy companies operating in an emerging market.

A self-administered questionnaire was distributed to 400 managers in top and middle-level positions in energy companies located in Kuala Lumpur, Malaysia were collected through an online survey. These managers had a strong understanding of the operational aspects of the companies and possessed good knowledge of the company’s performance. The collected data were analyzed using multiple regression analysis to assess the hypothesized relationships.

The findings reveal significant influences of corporate reputation, environmental sustainability and social sustainability on the business performance of energy companies operating in an emerging market. Notably, corporate reputation emerges as the primary predictor, underscoring the significance of emphasizing the fundamental aspects of companies such as superior products or services, effective management practices and investment quality. A strong reputation is essential for attracting investors, customers and other stakeholders by meeting their expectations for high-quality products or services. It serves as a crucial factor in establishing trust and credibility, which are vital for sustained success in the market.

Energy companies should proactively integrate corporate reputation into their operational strategies to enhance business performance. Furthermore, they should develop and execute comprehensive environmental and social sustainability initiatives within their organizations. By doing so, they can effectively enhance both financial and non-financial performance while fostering a culture of employee engagement aimed at further enhancing productivity.

This study stands out as a unique and significant contribution to theory by using the triple bottom line framework as the underlying theory and integrating corporate reputation into the proposed framework. It represents a novel approach, particularly within the context of energy companies operating in an emerging market. This research serves as a valuable complement to prior studies primarily conducted in developed (Western) economies, expanding the knowledge base in this field.