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This study aims to provide a new overview and opportunities of blockchain (BCT), financial technology (fintech) and knowledge management (KM) over the past ten years. Its focus is on their potential to drive new value creation and innovation processes within the digital landscape of the tourism and hospitality.

This systematic literature review and sociotechnical approach employs a literature analysis, analyzing and synthesizing 62 relevant articles published in the past decade form e-databases (Web of Science and Scopus).

This study reveals that researchers frequently discuss the potential advantages and challenges of BCT, fintech and KM in this industry. These include establishing systems that prioritize transparency and traceability, addressing blockchain security concerns, enhancing financial transaction efficiency and trustworthiness, and promoting innovation and improvement through KM strategies. Furthermore, this review suggests that the application of blockchain, fintech and KM has the potential to create new markets and opportunities in the tourism and hospitality industry. This study provides insights into the state and implementation of technology-based and knowledge-based for tourism and hospitality in times of crisis and digitization era.

Shifting to new lens (refers to sociotechnical theory), from technology adoption strategy, it is important to stay updated with emerging technologies such as BCT and fintech and upcoming technologies trends must align with tourism and hospitality business objectives, customer expectations and market demands. From the socio-dimension, KM is not confined to technological tools alone. Instead, it is a strategic approach that emphasizes fostering a culture of open communication, collaboration and knowledge sharing within the team of tourism and hospitality industry.

Through a literature review approach, this study establishes a new foundation in tourism and hospitality such as analyzing research gaps, understanding benefits and challenges, supporting methodologies/theoretical frameworks and informing the future research opportunities. Additionally, a novel contribution is the inclusion of sociotechnical approach that is allocated into socio or knowledge resources perspective (knowledge management), and technical or technology perspective (blockchain and fintech) that drives tourism and hospitality innovation.

Over the last two decades, there has been a significant increase in incivility within the higher education sector, potentially due to mounting pressure and demands on academics, both collectively and individually. The effects on various aspects of academia, such as knowledge and learning, however, remain largely unexplored. The purpose of this research is to fill the gap by performing a theoretical trend analysis and subsequently empirically investigating the impact of workplace incivility on research scholars’ learning engagement and knowledge sharing intentions, including the mediating role of self-esteem.

This study uses a three-stage methodological process: first, a thorough theoretical (bibliographic) analysis of scientific publications, using Biblioshiny, to identify the trends of workplace incivility; second, an empirical, qualitative exploration of the emergent themes and subthemes based on 102 in-depth interviews with research scholars, using NVivo 12 Plus; and third, quantitative testing, using 154 responses and structural equation modeling.

The authors verify a visible negative association between incivility and learning engagement, incivility and knowledge sharing intentions as well as self-esteem’s mediating effect on this relationship. Also, the thematic analysis revealed three distinct themes: the type of incivility; reasons for such incidences; and the impact of such incidences on research scholars.

The research bears implications both to theory and practice. Regarding the former, the gravity and graveness of incivility versus knowledge and learning, within the academic workplace environment, are not simply highlighted, but analyzed and refined, with explicit findings of both scholarly and practicable worth; that also provide solid foundations and avenues for future research.

Further to its primary findings, the research contributes to extant knowledge by elucidating and explicating the topic, both theoretically and empirically, as well as by presenting implications for theory and practice. Regarding practical implications, this research sheds light on how to develop an appropriate organizational culture that facilitates learning engagement and increases knowledge sharing intentions, by nurturing the identified explicit and underlying motivators of civility.

This research aims to find out the impact of knowledge sharing (KS) and knowledge hiding (KH) on employee creativity (EC) and eventually on firm innovativeness (FI). The study also investigates the moderating roles of incentive focus, preventive focus and enterprise social networking (ESN) adoption on EC and FI.

The study used an empirical research approach and created a research model using resource-based view theory and literature. The model was validated using the partial least squares structural equation modeling technique to analyze data from 347 respondents from Indian firms.

The authors found that there is a considerable moderating impact of all three moderators on EC and firms’ innovativeness. KS has a positive impact and KH has a negative impact on EC.

Knowledge can be shared within a firm by using an ESN tool. KS is the brighter side of the knowledge management process, whereas KH is the darker side of it. The study presents insights into and prescriptions for the bright and dark sides of knowledge management. The study results also imply that the firm managers must try to properly integrate the knowledge acquired from various stakeholders such as institutions, customers, competitors and suppliers as well as to focus on the tacit, precious and distinctive knowledge helpful to sustain long-term relationships with the valued external sources. The study empirically validates the model with the respondents from Indian firms, and thus the proposed model cannot be generalized.

Few research studies have examined both the bright and dark sides of the knowledge management process. There is a growing interest among researchers and practitioners to explore these sides of the knowledge management process using information systems and knowledge risk. Moreover, the proposed theoretical model has a high explanative power that makes the model effective and unique.

This study aims to identify and elucidate on the different forms and antecedents of customer misbehaviour in the service industry of the emerging country particularly India.

This study adopts a bibliometric analysis approach using bibliophagy software and thematic analysis to reveal four themes: “forms of customer misbehaviour”; “antecedents of such misbehaviour”; “changes in the personal and work behaviour of employees and management”; and “measures to reduce customer misbehaviour”. These are combined and interrelated to extant theories and empirical data to ultimately produce a comprehensive model on the subject.

This study finds the antecedents and analyses different forms of customer misbehaviour from Asian customer perspectives. A thematic output is provided which policymakers and other researchers can use to develop various policies and which other related research could use as inputs in the area or consumer behaviour and emerging countries.

This study contributes to the field of behavioural studies, especially in the Asian context. Policymakers and future researchers can use these findings to understand different customer-related issues from Asian customer perspective. However, the focus on the Indian consumer market as an emerging country in Asia limits the applicability and generalizability of the study for all emerging countries.

The originality and value of this study is related to its pioneering use of bibliometric and thematic analysis from the Asian service context. The value of such research work is associated with both scholarly and executive implications. Regarding the latter, this study examines the myopic nature of uncivil behaviour and helps service firms to understand and manage its different forms, conclusively also providing practicable executive directions on the problem.

This study aims to examine the impact of social media (SM) on the interactivity among teachers, among students and between students and teachers for sustainable academic performance and for achieving sustainable development (SD) in higher educational institutes. This study also investigates the moderating impact of knowledge creators (KNC) and knowledge seekers (KNS) on the collaborative learning environment using SM.

With the help of Vroom’s expectancy motivation theory (1964), collaborative learning theory and other theories, a theoretical model has been developed. This theoretical model has been tested using the structural equation modeling technique with 375 participants taken from different educational institutes. The respondent-–participants were both teachers and students.

The study found that SM plays a significant role in achieving SD al goals and enhances collaborative learning activities among teachers and students to improve academic performance to achieve SD in higher educational institutes. Also, the study highlighted that both “knowledge creators” and “knowledge seekers” have effective moderating impact on the linkage between “intention to use SM for knowledge sharing” and “collaborative learning using social media” to achieve SD al goals.

With the inputs from expectancy-instrumentality-valance theory and collaborative learning theory and existing literature, a theoretical model has been developed conceptually. Later, the model was successfully validated with an overall high explanatory power (72%) of this model. As the sample of the study do not represent a global representation of the population, thus the findings cannot be generalizable.

This study has provided valuable inputs to the SD practitioners and educational policymakers to formulate appropriate policies that enable SD al activities in higher educational institutes. This study also provides food for thought to the policymakers about the role of KNC and KNS toward the collaborative learning environment in achieving SD al goals in higher educational institutes.

The theoretical model developed in this study is unique. This study shows how both “knowledge creator” and “knowledge seeker” play a significant role toward collaborative learning and helps to achieve SD in higher learning institutes and improves their performance. The overall predictive power of the model is 72%, which also shows the effectiveness and uniqueness of the proposed model.

The research empirically examines the role of artificial intelligence (AI) integrated with social customer relationship management (SCRM) in multinational enterprises (MNEs) towards international relationship management under social distancing conditions due to the COVID-19 pandemic.

The study initially undertakes pertinently focused theoretical research in the fields of international marketing, knowledge management, and customer relationship management. And, utilizing the theories of resource-based view (RBV) and dynamic capability view (DCV) theory, the study develops a theoretical model that is subsequently empirically validated through a survey and structural equation modeling.

The study highlights the importance and means of adopting AI-integrated social CRM by MNEs, in the context of international relationship management, under the Covid-19 social distancing conditions. The study more specifically elucidates the role and significance of MNE leadership approach and support towards the adoption of AI-integrated social CRM systems and, ultimately, performance improvement of MNEs under such conditions.

The study presents insights and prescriptive explications on a topic at the heart of state-of the-art technology-based international marketing in the explicit context of the primary business-defining environment of the Covid-19 pandemic. The research provides practicable suggestions to MNEs' leadership towards the adoption of an AI-integrated social CRM system. And the study presents a unique model for international relationship management under social distancing conditions, potentially applicable during other crises.

The research is original and on a ‘fresh’ topic that combines the latest technological advancements in business (AI-integrated CRM) with the present critical business context (pandemic). The research develops a tested theoretical model that (a) is unique in its field; (b) provides a solid foundation for further research; (c) bears generic value and application during other-than-Covid-19 conditions; and (d) enhances the understanding of important fields of international marketing, including international customer relationship management and global knowledge management.

This study aims to examine the impacts of adopting big data analytics (BDA) on firm sustainability performance (FSP) mediated through firm financial performance (FIP) and operational performance (OPP).

A theoretical model is based on ideas from existing literature on BDA, sustainability, FIP, dynamic capability view theory and resource capability view theory. The model is then validated using the partial least squares–structural equation modeling technique with consideration of 312 responses from 24 Indian firms.

The study provides three important findings. First, there is a significant and positive impact of BDA on firms’ financial and OPP. Second, BDA significantly and positively impacts firm business process performance (BPP) and dynamic capabilities (DYC), which, in turn, significantly impacts the firm’s financial and OPP. Finally, both the financial and OPP of the firm significantly and positively impact sustainability performance.

This theoretical model is unique in showing the impacts of BDA on BPP, firm DYC, financial and OPP. The study also shows how BDA can enhance FSP by mediating through financial as well as the OPP of the firms. The study uses data only from India and thus the proposed model cannot be generalizable.

This study provides valuable input to researchers, academicians and industry practitioners on the importance of BDA for FSP. The study also adds value to the body of knowledge on sustainability, FIP and technology adoption. The proposed unique theoretical model has an explanative power of 70%, which is quite high and can be used across different industries.

“Born global firms” are those organizations which, from their inception and by nature, adopt an essentially global-scale entrepreneurial functional and attitudinal strategy for growth. They seek to gain significant competitive advantage by utilizing their internal resources while leveraging external environment potentialities, to sell their outputs internationally. The aim of this research is to investigate the influence of the external business environment and the dynamic capabilities of born global firms, on their strategic and operational performance, as well as the role of leadership vision on their internationalization performance.

Initially and resting on extant literature with pertinent foci, including the absorptive capacity and the dynamic capability view theories, a conceptual model is proposed. Subsequently, the model is validated through the partial least square structural equation modeling technique, based on 417 respondents from Indian firms.

The study concludes that the external business environment and internal dynamic capabilities of born global firms have a significant and positive impact on their strategic, as well as operational performance; with leadership vision playing a significant moderating role to this relationship. The study finally presents the executive implications of the findings and identifies the avenues for further scientific research.

This is a unique study on the topic, both in relation to resources/capabilities versus performance and with regards to the leadership vision's role. It moreover focuses on a primary business force, India, which comprises prime examples of global entrepreneurship. The research constituting a significant contribution to knowledge, as research on how small firms can strategically grow so rapidly and effectively, is still far from conclusive, particularly under the present evolutions that incessantly redefine the contextual business forces upon which strategy is drawn.

This paper aims to examine the influence of managerial practices, productivity and change management process (CMP) on organizational innovation capability of small and medium businesses. This study also investigates the moderating role of technological turbulence (TT) on organization capability.

A theoretical model was developed based on existing literature and theories. It was then validated using the partial least squares structural equation modeling technique to analyze 327 responses from small and medium businesses. Moderator analysis was conducted to investigate how TT moderates organizational innovation capability.

This study found that management practices have a significant and positive influence on the innovation capability of small and medium business. The study also found that both CMP and modern technology adoption are crucial toward improving their innovation capability. Finally, the study also demonstrated that TT has a significant impact on organizational innovation capability.

This research study has proposed an effective theoretical model of the relationship between managerial practices and organizational innovation capability. The proposed model is effective in demonstrating to managers and leaders of small and medium businesses the importance of managerial practices, CMP and the adoption of modern technologies on organization innovation capability, which can help to develop new products.

This research is unique, as the proposed model is the first of its kind to establish the relationship between managerial practices of small and medium businesses with organizational innovation capability. No other extensive study has proposed such a model especially for these businesses. Also, the explanative power of the proposed model is 72%, which shows the effectiveness of the proposed model.

This study aims to descriptively identify and refine the role of emotional intelligence (EI) in the retail banking employee–customer contact context, and prescriptively use this knowledge to develop a framework for improving true customer service without excess organizational cost, in Lebanon.

The research adopts the classical interpretive/constructivist ontology and the interpretivism/constructivism epistemology, and it rests on a tripod of methodological foundations. The first leg is the theoretical work that sets the extant scientific ground for the empirical work to develop. The second incorporates the main (qualitative) empirical tools, i.e. 40 interviews with customers and HR managers (NVivo-analyzed), plus a critical incident technique study. The third includes the supportive tools of secondary data and an expert panel composed of industry and scholarly specialists.

EI was empirically shown to modulate the levels of customer satisfaction and to hold a critical role in the company–customer interface, albeit one that is currently and unjustly both undervalued and ineffectively controlled. The findings identify the key factors and exhibited behavioral attributes of EI within the customer service process, and they integrate all into a comprehensive framework of both scholarly and executive worth.

This study provides distinct theoretical elucidations and conceptualization that have identified and interrelated the relevant works on the subject; empirically refines the variables involved in the EI context of retail banking customer service; and culminates in the form of the proposed framework that incorporates and interrelates the findings into an empirical-data-based composition of both scholarly and executive orientation and worth.