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Considering the important role of knowledge management in the global growth of world economies, the importance of knowledge management in the tourism industry can hardly be overestimated. Knowledge management, empowering leadership and innovation can open new research prospects for online travel and tourism, thereby increasing organizational capacity. In this context, this study aims to investigate the relationship between knowledge management practices and transformational leadership, along with the mediating role in this relationship of leadership communication. Knowledge management practices are discussed through the lens of managers’/organizational perspectives working in the online travel and tourism industry.

Using a descriptive research method, the data were collected from a total of 174 managers/senior executives working in the online travel and tourism sectors. The proposed conceptual framework was evaluated using structural equation modeling through AMOS 21 and Process Macro (SPSS-Plugin).

The results revealed a significant increase in the adoption of knowledge management practices in the online travel and tourism sector under transformative leadership. The results also highlighted that effective communication is a vital contributor and significant complementary mediator in the relationship between transformative leadership and knowledge management practices.

The results of this study suggest that transformational leaders, who are equipped with the “high touch” nature of leadership and the “high tech” aspect of the contemporary workplace, are the best fit to manage online travel and tourism organizations. To have an adequate knowledge management system, knowledge managers should adopt a transformative leadership style and receive comprehensive training in developing leadership abilities such as effective communication competencies.

To the best of the authors’ knowledge, this study is the first to demonstrate that, in emerging online travel and tourism sectors, organizational knowledge can be managed through effective leadership communication.

The faculties are crucial to education. They should have enough training facilities and be encouraged to actively contribute to high-quality education and successful learning. Faculty engagement and development activities should be explored and included in learning organizations and employee engagement in India. This paper aims to describe higher education as a learning organization. The research will also assess how faculty development programs affect faculty engagement behaviors in these institutions and if professional development mediates this effect, which has not been previously examined.

This study was conducted with quantitative data collected from 267 faculties through reliable and validated adapted questionnaires. Semistructured interviews were conducted with heads and professor-level faculties to gain insights into faculty development and engagement. Partial least squares structural equation modeling technique (PLS-SEM 3.3.6 version) was used to test the conceptually drafted model.

Faculty professional development programs shown to improve higher education faculty engagement and professional progress. The studies also showed that higher education institutions must prioritize faculty development to become learning organizations. Professional development reduced the direct effects of faculty development program (FDP) on faculty engagement. This suggests that professional growth mediates the research.

This research emphasizes and professional development to boost teacher involvement in B-Schools. Management must design faculty development programs to construct professional development and learning organizations, according to the results. Developing and writing rules that encourage faculty engagement in such internal and external programs would also enhance their academic and administrative abilities and assist higher education institutions become learning organizations.

The study is one of the few to examine the impact of faculty development programs and professional development on faculty engagement in higher education institutions, particularly B-Schools, and its competitive mediating role.

The purpose of this study is to identify factors that are important for logistics organizations from the perspective of manpower readiness for digitization of logistics operations. The study also prioritizes the identified factors and also evaluates the readiness index of manpower for the digitalization of logistics processes.

The factors for manpower readiness are identified through literature review and analysis of a case study. Three major categories of factors are identified. These are organizational, behavioural and technological factors. Under these three major categories of factors, 18 sub-factors are identified. Thereafter, with experts' inputs, the factors are prioritized using Fuzzy analytic hierarchy process (AHP). Further, a case illustration of an Indian logistics company has been taken to understand the current processes, technical capabilities, manpower skills and organization culture. After the case analysis and expert inputs, the manpower readiness index has been evaluated by using graph theory matrix approach (GTMA).

The prioritization of manpower readiness factors has been done using Fuzzy AHP. Organizational factors are found to be the most important factors which require quick attention. Sub-factors that are most important for building competencies in the logistics sector are providing the right training on functional skill development (0.129), top management support and commitment for digitalization (0.117), and organizational culture for process digitalization (0.114), etc. Finally, framework for evaluation of manpower readiness index for logistics operations in the digital age has been illustrated for a case company.

Indian logistics companies can benchmark their readiness index with respect to the best in the industry. Based on the readiness index, logistics companies can analyse their position, gaps from best and worst and can also identify potential areas for improvement.

The novelty of the study lies in the development of a framework for manpower readiness for digitalization in the logistics sector. In literature, this field is very less researched and provides the scope for developing strategies for improving manpower competencies for Industry 4.0. Logistics companies can improve their performance by making their manpower ready based on results obtained for readiness index.

The purpose of this paper is to understand how logistics service providers manage their operations for sustainable service quality and operational excellence. This study is also trying to propose a framework for measuring service quality index along with some research propositions for analyzing service quality and operational excellence.

The detailed case analysis on sustainable practices of Indian logistics service providers (LSPs) has been done on the basis of case study approach suggested by Eisenhardt (1989). After this case analysis, service quality index is evaluated for the given company based on Cleveland et al. (1989) framework. The SWOT and performance analysis of the case organization has been also done, which is further followed by development of framework and propositions for analyzing service quality and operational excellence for LSPs.

It can be observed from in-depth case analysis that LSPs are making use of green practices to conserve resources for long-term sustainability. LSPs optimize their resources and use sustainable practices in the form of use of reusable and recyclable packaging materials, rain water harvesting, use of solar panels, innovations such as trucking cube, safety concern toward goods and contribution toward environment and society.

Resources optimization and green management practices are essential for LSPs for benchmarking environmental performance and for improving service quality and operational excellence.

This study has tried to analyze green logistics practices for sustainable service quality and proposed a framework for quantifying sustainability.

The financial technology (FinTech) era has brought a revolutionary change in the financial sector’s customer experiences at the national and global levels. The importance of artificial intelligence (AI) in the context of FinTech services for enriching customer experiences has become a new norm in this modern era of technological advancement. So, it becomes crucial to understand the customer’s perspective. The current research ranks the factors and sub-factors influencing customers’ perceptions of AI-based FinTech services.

The sample size for this study was decided to be 970 respondents from four Indian cities: Mumbai, Delhi, Kolkata and Chennai. The Fuzzy-AHP technique was used to identify the primary factors and sub-factors influencing customers’ experiences with AI-enabled finance services. The factors considered in the study were service quality, trust commitment, personalization, perceived convenience, relationship commitment, perceived sacrifice, subjective norms, perceived usefulness, attitude and vulnerability. The current research is both empirical and descriptive.

The study’s three top factors are service quality, perceived usefulness and perceived convenience, all of which have a significant impact on customers’ experience with AI-enabled FinTech services discussing sub-criteria three primary criteria for customers’ experience for FinTech services include: “Using FinTech would increase my effectiveness in managing a portfolio (A2)”, “My peer groups and friends have an impact on using FinTech services (SN3)” and “Using FinTech would increase my efficacy in administering portfolio (PU2)”.

The current study is limited to four Indian cities, with 10 factors to understand customers’ preferences in FinTech. Further research can focus on other dimensions like perceived ease of use, familiarity, etc. Future studies can have a broader view of different geographical locations and consider new tech to understand customer perceptions better.

The study’s findings will significantly assist businesses in determining the primary aspects influencing customers’ experiences with AI-enabled financial services. As a result, they will develop strategies and policies to entice clients to use AI-powered FinTech services.

Existing AI research investigated several vital topics in the context of FinTech services. On the other hand, the current study ranked the criteria in understanding customer experiences. The research will substantially assist marketers, business houses, academicians and practitioners in understanding essential facets influencing customer experience and contribute significantly to the literature.

The purpose of this paper is to identify the most significant barriers to successful implementation of information technology (IT) in higher educational institutions (HEIs) of India. Although, educational institutions are investing in IT, they have been not been able to leverage it the same way as other business organizations. The present investigation will assist the management of HEIs to distinguish the key barriers affecting productive IT implementations and further take appropriate measures to deal with it.

For the purpose of the study, focus group and semi-structured interviews were conducted with academicians, administrators, functional heads, and IT staff from various HEIs of India. This research attempts to discover the major barriers to successful implementation of IT in HEIs using an interpretive structural modeling (ISM) methodology. Furthermore, structural analysis and classification of barriers is done using MICMAC analysis.

The results identified the key barriers that if dealt with can help overcome or lower the effect of other barriers preventing successful IT implementation in HEIs. It will provide roadmap to managers and administrators of HEIs to take appropriate measures to overcome the major barrier to effective implementation of IT.

Several authors have been studied barriers to implementation of IT in industry and educational institutions, but none have found the most significant barriers that affect successful implementation of IT and may drive other impediments. This research draws inspiration and is being carried out for Indian HEIs.

The purpose of this study is to identify sustainability practices and to propose a framework for evaluating the sustainability index of logistics service providers (LSPs).

Sustainable practices followed by LSPs are identified through literature review and analysis of a case study. Thirteen such sustainable practices are identified. Thereafter, with expert inputs, nine sustainable practices are shortlisted and considered for the evaluation of the sustainability index in the proposed framework. Graph Theory Matrix Approach has been applied to evaluate the sustainability index of an LSP.

Major practices identified for evaluating sustainability index include the use of recyclable packaging, use of renewable energy sources, green procurement, reduction in carbon emissions, use of CNG/electric vehicles, rainwater harvesting and so on. The sustainability index of an LSP is evaluated by using the proposed framework.

LSPs can benchmark their sustainability index with respect to the best in the industry. Based on it, LSPs can also identify potential areas for improvement.

Novelty of the study lies in the proposed framework for evaluation of sustainability index which can be used to develop strategies for green logistics. LSPs can also improve their performance in terms of sustainability measures by adopting green logistics.

Pharmaceutical donations are a practical approach to increase medicine availability during disasters such as disease outbreaks. However, often donated pharmaceuticals are inappropriate and unsuitable. This convergence of inappropriate pharmaceuticals is a severe operational challenge and results in environmental hazards. This study explores the pharmaceutical supply chains (PSCs) during a disease outbreak to relieve the negative impact of the material convergence problem (MCP).

This study adopts a situation-actors-process learning-action-performance (SAP-LAP) linkage framework to understand the PSC dynamics. The problem-solving component of the SAP-LAP analysis provides the strategies catering to MCP. The findings from the SAP-LAP helped to develop the causal loop diagram (CLD). This study conducts several experiments on the proposed strategies by integrating CLD into a stock and flow diagram. Later, a disease outbreak case study accessed the pharmaceutical donations effect on PSC performance.

The study synthesises and evaluates propositions and strategies to incorporate circular economy (CE) principles in PSC. This study proposed two strategies; one to sort and supply and the other to sort, supply and resell. The reuse policy improves humanitarian organisations' finances in the simulation study. This study verified the operational improvement of PSC by reducing the transport and storage burden due to MCP.

This study comprehensively approaches the issue of drug donation and uniquely produced several propositions for incorporating a CE perspective in PSC. The study also proposed a unique simulation approach to model the donation arrivals in response to a disease outbreak using susceptible, exposed, infectious and recovered modelling.

The micro, small and medium scale enterprises (MSMEs) faced various challenges in the ongoing COVID-19 pandemic, making it challenging to remain competitive and survive in the market. This research develops a model for MSMEs to cope with the current pandemic's operational and supply chain disruptions and similar circumstances.

The exhaustive literature review helped in identifying the constructs, their items and five hypotheses are developed. The responses were collected from the experts working in MSMEs. Total 311 valid responses were received, and the structural equation modeling (SEM) approach was used for testing and validating the proposed model.

Critical constructs identified for the study are-flexibility (FLE), collaboration (COL), risk management culture (RMC) and digitalization (DIG). The statistical analysis indicated that the four latent variables, flexibility, digitalization, risk management culture and collaboration, contribute significantly to the firm performance of MSMEs. Organizational resilience (ORS) mediates the effects of all the four latent variables on firm performance (FP) of MSMEs.

The current study's findings will be fruitful for the manufacturing MSMEs and other firms in developing countries. It will enable them to identify the practices that significantly help in achieving the firm performance.

The previous researches have not considered the effect of “organizational resilience” on the “firm performance” of MSMEs. This study attempts to fill this gap.

Micro, small and medium enterprises (MSMEs) are facing major difficulties with working capital, need of digitalisation and lack of skilled workforce during this crisis situation. Managing resilience post pandemic is again a huge challenge for MSMEs. Therefore, the main objective of the study is to identify the critical barriers for recovery of MSMEs from the pandemic outbreak and recommending potential solutions for avoiding vulnerabilities.

The most significant barriers, which will impact MSMEs resilience issues are extracted from vast literature review, discussed with nine experts from MSMEs and further categorised into organisational, operational and technical barriers. Best–worst method (BWM) has been used to find the importance rating of barriers for developing resilience in MSMEs.

It can be observed that the organisational barriers (0.507) are the most significant, followed by operational barriers (0.300) and then, technological barriers (0.192). Liquidity crunch and inadequate technical skills of employees are the most significant barriers for MSMEs resilience during COVID-19, whereas fluctuation in input cost, unavailability of containers on time and decreased process efficiency are the least significant barriers for recovering MSMEs post COVID-19.

Findings imply that MSMEs should try to overcome major barriers such as resource constraints, lack of skills and knowledge and inefficient inventory planning.

Findings of study will be of immense use for MSMEs in efficient management of operations and in developing resilience during uncertain business environment.