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This study examines the relationship between knowledge-sharing activities of the firm and its innovation capability. It also investigates the moderating impact of the firms' absorptive capacity on the relationship between knowledge sharing and firm innovation capability from the cross-subsidiary perspective in the international market environment.

This study reviewed the literature from the areas of knowledge management, international market and innovation management. Through the literature review, absorptive capacity theory and dynamic capability view (DCV) theory, a conceptual model has been developed. This model has been validated using partial least squares structural equation modeling (PLS-SEM) technique with 612 respondents from 16 multinational firms from different countries.

The study finds that knowledge-sharing activities across subsidiaries of multinational firms are important for product and process innovation. Firms’ absorptive capacity also impacts the relationship between firms' knowledge-sharing activities and their different dynamic capabilities, such as sensing, seizing and transforming. The study also finds that firms' innovation capability positively impacts their competitiveness.

This study provides valuable inputs to the management of multinational firms to recognize the importance of knowledge-sharing activities across their different subsidiaries in the international marketing knowledge management (MKM) context.

The study adds to the literature on knowledge management, international market and firms' innovation capability. As the study examines the knowledge-sharing activities across different subsidiaries of multinational firms, especially in the context of process and product innovation, it is considered unique. The study also provides a unique validated model.

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 paper aims to provide a systematic meta-analysis from the year 2000 up to 2021 by reviewing relevant studies in extant literature related to the impact of social media on mental health.

This study adopts bibliometric methods and longitudinal statistical analysis to analyze extant literature. The structured literature review and meta-analysis findings on social media usage (SMU) and its impact on mental health indicate emerging research patterns in potentially leading to an integrative view.

This paper highlights the importance of challenges regarding SMU and its impact on users’ mental health. This study shows interesting meta-analysis on the issues such as Facebook and teenagers’ mental health; Instagram and teenagers’ mental health; Twitter and teenagers’ mental health; and so on from the past 20 years.

This paper is a literature review on a critical social issue like SMU and its impact on users’ mental health. The meta-analysis is conducted only on the indexed paper and does not take the books, blogs and other kinds of literature in this domain. The analysis is carried out only for the research articles published from 2000 to 2021.

Social media refers to any platform involving interactive digital technologies that encourage and facilitate users’ participation. SMU and its impact on users’ mental health can be attributed as contributing factors to the next global crisis. Studies suggest that increased SMU can potentially make users socially anxious. This study provides input to the policymakers, scholars and practitioners to understand the gravity of the situation and develop appropriate policy to overcome the challenges.

The rapidly evolving nature of technology and social media calls for a careful examination of its risks despite the many benefits of e-participation and digital interaction. Although there is widespread acknowledgment of the problematic revelation that the pattern of SMU closely mirrors mainstream addictive behavior; yet, there are only a limited number of comparative studies available. This may be one of the few studies which highlight the issue of SMU and its impact on users’ mental health. Moreover, this study also adds to the body of literature.

“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.

The rapid increase of use of online platforms by the customers in the hospitality and tourism industry has invited the needs for using digital platforms by the concerned industry. In such a scenario, the purpose of this study is to examine how adoption of blockchain technology in hospitality and tourism industry could impact the sustainability performance of the organizations under the moderating influence of technological turbulence and senior leadership support.

With the help of existing literature, stakeholder theory and dynamic capability view (DCV), a theoretical model is proposed. It was validated using the PLS-SEM technique with 311 respondents who have different managerial positions in the hospitality and tourism industry. The proposed theoretical model is unique and effective as it has high explanatory power.

The study demonstrates the importance of adopting BCT in the hospitality and tourism sector and how it could improve the sustainability performance of organizations in that sector. This study also finds that there is a significant moderating impact of technological turbulence and senior leadership support on such organizations that adopt BCT.

This study provides valuable inputs to practitioners in the industry by showing how adopting BCT can improve their sustainability performance. The study also demonstrates that leaders and the managers should support adopting BCT in their organizations and they can help to overcome any technological challenges that might come up while adopting it.

The present study proposes a unique theoretical model which was also validated using a statistical approach. Moreover, both stakeholder theory and dynamic capability view were integrated to propose the theoretical model, which is a novel attempt so far as adoption of BCT in hospitality and tourism industry is concerned.

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 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.

This study aims to understand the influence of digital transformation, using Industry 4.0 technology, on food and beverage companies in the post-COVID-19 period.

To achieve the aim of this study, the authors have used innovation diffusion theory (IDT), dynamic capability view (DCV) theory and relevant literature, to develop a conceptual model. For the data, we surveyed 14, different sized food and beverage companies in India and the authors took inputs from 312 respondents at those companies to validate the conceptual model using the PLS-SEM approach.

The results from this study suggest that there is a considerable appetite for food and beverage companies to use Industry 4.0 technologies, as a part of their digital transformation journey in the post-COVID-19 scenario.

Food and beverage companies are going through a digital transformation process, which has been accelerated after the COVID-19 pandemic. Managers and leaders of the food and beverage companies need to support activities to adopt Industry 4.0 technologies. Moreover, the leaders should sponsor various readiness and training programs so that their employees successfully adopt these modern technologies.

This is a primary study on food and beverage companies that are using Industry 4.0 technologies or are in the process of digital transformation. The usage of both IDT and DCV to develop the unique conceptual model is an important contribution to the body of knowledge. Moreover, the proposed model has a high explanatory power, which makes the model effective.

The purpose of this study is to make an attempt to identify the factors responsible for the adoption of an artificial intelligence (AI)-integrated customer relationship management (CRM) system in Indian organizations with a special focus on security and privacy issues.

This study was conducted for the identification of factors responsible for the adoption of the AI-integrated CRM system in Indian organizations focusing attention on security and privacy perspective. For this, the adoption theories and models have been studied. The literature available in this context has also been studied with a focus on security and privacy issues. After the initial study, few hypotheses have been formulated and a conceptual model has been developed. These hypotheses were validated with the help of statistical tools by conducting sample survey with 324 usable responses against 36 questionnaires.

The results of this study highlight that of the eight hypotheses conceptually formulated, one hypothesis was not supported as is evident from the application of statistical analysis. This is the influence of perceived ease of use on attitude of the stakeholders intending to use the AI-integrated CRM system in Indian organizations. The results also transpire that the model so provided has achieved 87% explanative power.

The model so provided has taken the help of the technological acceptance model. It has also used the issues circumscribing menace of security and privacy vulnerabilities. Consideration of the technological acceptance model and aspects of issues of security and privacy has enriched the model rendering its explanative power to 87%.

The model is simple. Practitioners can execute this model without having any complexity. The policymakers could also get inputs from the model, as it has focused specially on security and privacy issues that could help to enhance the trust of the potential users.

Not many studies are found covering the adoption of the AI-integrated CRM system by Indian organizations with a special focus on security and privacy aspects. In this light, this study is a novel attempt.