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This study aims to explore the challenges faced by the tourism and hospitality industry following the COVID-19 pandemic and to propose effective strategies for recovery and resilience of this sector.

The study analysed the challenges encountered by the tourism and hospitality industry post-pandemic and identified key strategies for overcoming these challenges. The study utilised the modified Delphi method to finalise the challenges and employed the Best-Worst Method (BWM) to rank these challenges. Additionally, solution strategies are ranked using the Criteria Importance Through Intercriteria Correlation (CRITIC) method.

The study identified significant challenges faced by the tourism and hospitality industry, highlighting the lack of health and hygiene facilities as the foremost concern, followed by increased operational costs. Moreover, it revealed that attracting millennial travellers emerged as the top priority strategy to mitigate the impact of COVID-19 on this industry.

This research contributes to understanding the challenges faced by the tourism and hospitality industry in the wake of the COVID-19 pandemic. It offers valuable insights into practical strategies for recovery. The findings provide beneficial recommendations for policymakers aiming to revive and support these industries.

This bibliometric study aims to analyze publication trends, active countries, collaborations, influential citations and thematic evolution in learning analytics (LA) research focused on higher education (HE) during and after the COVID-19 lockdown period.

From the Scopus database, this bibliometric analysis extracts and evaluates 609 scholarly articles on LA in HE starting in 2019. The multidimensional process identifies the scope impacts, advancing the understanding of LA in HE. An analysis of co-citation data uncovers the key influences that have shaped the literature. This study uses the stimulus-organism-response (SOR) theory to suggest future research directions and organizational adaptations to new LA technologies and learner responses to LA-enabled personalized interventions.

Learning analytics are becoming important in the HE environment during and after the COVID-19 lockout. Institutions have used LA to collect socio-technical data from digital platforms, giving them important insights into learning processes and systems. The data gathered through LA has assisted in identifying areas for development, opening the path for improved student success and academic performance evaluation and helping students transition to the workforce.

The study’s concentration on the post-COVID-19 timeframe may lead to paying attention to potential pandemic developments. Nonetheless, the findings provide a thorough picture of LA’s contributions to HE and valuable ideas for future study initiatives. Future research with the SOR framework suggests areas for additional study to maximize LA’s potential in diverse HE situations.

This study adds to the growing corpus of knowledge on learning analytics in HE, especially in light of the COVID-19 lockdown and its aftermath. By using bibliometric analysis, the study provides a complete and evidence-based understanding of how LA has been used to address challenges related to HE. This study uses bibliometric analysis and SOR theory to appraise and map HE learning analytics research. The selected study themes can help scholars, educators and institutions shape their future efforts to improve teaching, learning and support mechanisms through learning analytics.

The purpose of our research on blockchain technology is to unveil its immense potential, understand its applications and implications and identify opportunities to revolutionize existing systems and processes. This research aims to inspire the creation of new innovative solutions for industries. By harnessing blockchain technology, organizations can pinpoint key areas that could significantly benefit from its use, such as streamlining operations, providing secure and transparent digital solutions and fortifying data security.

This study presents a robust multi-criteria decision-making framework for assessing blockchain drivers in selected Indian industries. We initiated with an extensive literature review to identify potential drivers. We then sought the opinions of experts in the field to validate and refine our list. This meticulous process led us to identify 26 drivers, which we categorized into five main categories. Finally, we employed the Best-Worst Method to determine the relative importance of each criterion, ensuring a comprehensive and reliable assessment.

The authors have ranked the blockchain drivers based on their degree of importance using the Best-Worst Method. This study reveals the priority of BC implementation, with the retail industry identified as the most in need, followed by the Banking and Healthcare industries. Various critical factors are identified where blockchain technology could help reduce costs, increase efficiency and enable new innovative business models.

While this study acknowledges potential bias in driver assessment relying on literature and expert opinions, its findings carry significant practical implications. We have identified key areas where blockchain technology could be transformative by focusing on select industries. Future research should encompass other industries and real-world case studies for practical insights that could delve into the adoption challenges and benefits of blockchain technology in many other industries, thereby amplifying the relevance of our findings.

Blockchain is a groundbreaking, innovative technology with immense potential to revolutionize industries. Past research has explored the benefits and challenges of blockchain implementation in specific industries or sectors. This creates a gap in research regarding systematically classifying and ranking the importance of blockchain across different Indian industries. Our research seeks to address this gap by using advanced multi-criteria decision-making techniques. We aim to provide a comprehensive understanding of the significance of blockchain technology in critical Indian industries, offering valuable insights that can inform strategic decision-making and drive innovation in the country’s business landscape.

Companies are looking for certain employability attributes and personality traits while recruiting and selecting suitable candidates for their organizations and there is a mismatch in what the higher educational institutes are grooming the graduates. There is therefore a need for proactive management of career development of students. The paper aims to discuss these issues.

This research involved an exploratory study on a database of 445 students enrolled and passed out from the five batches of two years business management course from 2012 to 2016 in a business school in India, to identify the parameters which led to generating good placement package for them. The impact of independent variables of live industry projects, communication skills, academic performance, classroom attendance and co-curricular activities on the placement package was studied using stepwise regression analysis.

The study revealed that industry projects, co-curricular activities, communication skills and academic performance were the key enablers which helped the students become industry ready and employable.

This research involved the study of effect of only four independent variables- academic performance, communication skills, participation in live industry projects and co-curricular activities on the placement package received by the students. There is a scope of extending this study by considering the effect of other variables such as educational background (graduation stream, performance in that stream, scores attained in competitive exams, etc.), family background (family income, occupation of parents and their qualification, family size, etc.), geographical background (rural, urban or semi-urban) and work experience on the final placement package received by the student.

Employability depends on a multitude of factors which can be broadly put under three categories of knowledge, skills and attitude (Khare, 2014). Universities need to work right from the first year toward developing a wider range of employability skills rather than focusing only on developing generic competencies in the students. The results of regression analysis indicate that the impact of different predictors for a good placement package vary in strength and a student needs to focus on balancing all of them in order to get a good placement. Educational institutes can replicate this study to identify the overall employability of their students.

With the increase in demand from industry for work ready graduates, there is a huge pressure on educational institutes to prepare their students for the corporate world. Such studies would help the institutes in focusing on various parameters which would ultimately assist students pursuing courses in post graduate level like business management or other master courses in getting good placements.

The purpose of the study is to explore the relationship among organisation information technology support (OITS), knowledge sharing behaviour (KSB) and service innovation performance (SIP) in the context of the Indian Hospitality Industry (IHI). This study also attempts to examine the role of KSB as a mediator in the relationship between IT support and SIP and the firm age test as a moderating variable for service innovation performance.

Proposed relations are empirically examined, and the study was carried out on 115 employees from 71 randomly selected hotels situated in the major five travel destinations of Uttarakhand state of India. Initially, confirmatory factor analysis was performed to validate the construct, afterword structural equation modeling (SEM)-Path analysis was accomplished. The researcher examines the mediation and moderation relations of the variables through statistical tests executed with the help of AMOS 24 and SPSS 26.

The study result indicated that organisation IT support has a positive influence on knowledge sharing and SIP. The mediation result findings showed KSB is partially mediated between OITS and SIP. Sequentially, firm age moderation found the statistical results shown significant difference in young and old hotels.

This study only covers the aspect of the “knowledge sharing behaviour” dimension among the major organizations’ IT support capabilities and examined both variables that might be anticipated in SIP. Considering this limitation, new areas of research investigation are open to future researchers.

The study has both theoretical and managerial implications for academicians, practitioners and researchers. An attempt to conceptualise detailed insights on organisational IT support adaptation and KSB enhancement, which further leads to lifting SIP. Moreover, the study recommended for professionals to implement KM practices and mobilise the knowledge resources optimally to achieve better organizational outcomes.

The study attempts to delineate the proposed relationship and provides valuable insights for practitioners and academicians by including the knowledge sharing dimension to improve the SIP context of the IHI.

This paper aims to explore knowledge management (KM) literature to understand further the inter-relationship among KM infrastructure (KMI), KM strategy (KMS), KM process (KMP) and individual competence (IC), which are considered very much essential for achieving a heightened competence at an individual level. In the present scenario, knowledge intensive organizations are striving highly to manage competitiveness for their survival in the market. The role of knowledge capability is very much pivotal in ensuring the success of knowledge process implementation.

A methodical review has been carried out of empirical and conceptual articles to justify the linkages among KMI, KMS, KMP and IC, particularly accessed through sources such as Pro Quest, EBSCO host, Google Scholar and other e-databases. This review integrates a conceptual framework to explore the relationship among the aforesaid constructs.

This study provides valuable insight into the role of KMI and KMS in enabling various KM processes. It also contributes significantly to organizations by helping them to integrate KM processes so as to enhance IC.

This paper provides helpful suggestions to drive the KMPs by facilitating suitable congruence of infrastructure capabilities and KMSs within organizations. Further, this study would also be helpful in enhancing IC along with organizational competence. Study limitations are also discussed.

This paper contributes to knowledge and competence management literature by adding the fact that KMI and KMS both precede KMP for better outcomes at an individual level.

The study aims to examine the effect of knowledge management strategy (KMS) on knowledge-sharing behavior (KSB) and its subsequent effect on knowledge performance (KP). It also throws light on the mediating role of KM enablers (KMEs) and KSB.

In purview of previous literature, several hypotheses were framed. Structural equation modeling (SEM) using SPSS 20, PROCESS macro and AMOS 20 was used to examine the research hypotheses in a sample of empirical data collected from 350 employees of information technology (IT) service provider firms.

This paper empirically proves the existence of mediation effect of the proposed mediators (KME, KSB) between predictors (KMS, KSB) and outcomes (KSB, KP) in different hypothesized relationships. Result provides empirical evidence toward the positive influence of KMS dimensions (internal-oriented KMS, external-oriented KMS) on KSB and also confirms the influence of KSB on KP.

This study examines the effect of KMS and KSB on KP with reference to the IT sector, thereby limiting generalization to other sectors. Practical and managerial implications have been discussed in the later sections of the study.

This study adds value to the existing KM literature by adjoining the links among knowledge strategy, sharing behavior and performance.

Knowledge management (KM) is a process that depends on changes and transfers to different levels of understanding among individuals and acts as a powerful tool to strengthen the organization to remove the barriers, affect the decision-making process and enable individuals and organizations to achieve sustainable advantages. This study aims to explore the role of digitization on knowledge conversion modes and its subsequent impact on related outcomes with reference to higher education institutions (HEIs). Prospects and paradigms of digitation for HEIs have also been explored.

The systematic review method has been used to organize and analyze the existing literature on digitization, knowledge conversion and related outcomes with reference to HEIs. To increase the scope of the research, the authors anticipated 30 research articles published between 2010 and 2022 in Google Scholar, Scopus, ProQuest and EBSCO databases. The study used PRISMA to conduct a systematic literature review. The study used “knowledge conversion, “SECI model,” “Digitalization” and “Higher education institutions” keywords to search the most suitable articles. To ensure the quality of this research, the study used quality journals.

The increasing significance of knowledge-building practices and a technology-driven environment insinuates the adoption of information and communication technology (ICT)-enabled equipment and devices to transfer knowledge, which further leads toward enhancing the effectiveness of education. This study offers a review of enabling factors based on Nonaka and Takeuchi’s (1995) knowledge spiral and provides an in-depth insight into the significance of digitization for the higher education sector.

The study’s main contribution was to explore the interrelationship among digitization, knowledge conversion and outcomes. Both technological and non-technological/conventional interventions have been discussed with reference to teaching and knowledge dissemination patterns based on Nonaka’s (1994) Socialization, Externalization, Combination, and Internalization (SECI) knowledge spiral.

The authors synthesize the previous literature research dimensions and recommend future research.

Pyrus Pyrifolia (Sand Pear) is one of the most underused pear variety despite its nutraceutical potential. Therefore, this paper aims to explore the Pyrus Pyrifolia in term of origin, distribution and classification, nutritional and bioactive potential, therapeutic potential and valorization along with future prospectus.

A wide variety of publications (88) were identified through electronic databases (Science direct, PubMed, SciELO, Google scholar, Link springer and Research gate) under the umbrella of different keywords such as bioactive compounds, health benefits, nutrition, sand pear, Pyrus and Pyrus pyrifolia.

Pyrus Pyrifolia (Sand Pear) is abundant in nutritional and bioactive compounds such as phenolic acids, flavonoids, terpenoids, vitamins and minerals. It exhibits therapeutic potential as being an antioxidant, anti-obesity, anti-diabetic, anti-inflammatory and anti-cancer agent. However, P. pyrifolia is not much explored by food researchers and industrialists, hence remaining underused. A few attempts have been made toward the use of P. pyrifolia for jam, jelly, candy and wine preparation. However, more research is required for the commercial processing of P. pyrifolia and to enhance its availability outside its growing area.

In this paper, nutritional and bioactive compounds of P. pyrifolia are discussed that provide knowledge to the researchers for its use as a functional ingredient.