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The purpose of the present study is to establish the emerging trend of studies on knowledge management (KM) strategy from 2007 to 2021 and identify the most studied constructs, methodologies used and gaps, thereby suggesting future directions.

Guided by items on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, the study analyzed 46 articles published within the 15 years under review.

An upward trend in KM strategy studies published from 2007 to 2021 emerged, indicating researchers' growing interest in the topic. Further, the studies reaffirmed the essence of having a KM strategy alongside other functional strategies for an organization's outstanding performance. Key KM strategy antecedents were identified: resource availability, communication, business environment, stakeholder participation, organizational culture and incentives. The need to align the KM strategy and other functional strategies with the overall business strategy was also established as critical. Finally, gaps in study methodologies and extant literature were identified, leading to suggestions for future directions.

The study provides valuable insights regarding the emerging trend of studies on KM strategy over the 15 years, identification of methodologies used in the studies and the most studied constructs. To this effect, the study's uniqueness lies in the identified gaps and recommendations made for future research directions as it strives to bridge the identified gaps.

Effective communication is crucial in the medical field where different stakeholders use various terminologies to describe and classify healthcare concepts such as ICD, SNOMED CT, UMLS and MeSH, but the problem of polysemy can make natural language processing difficult. This study explores the contextual meanings of the term “pattern” in the biomedical literature, compares them to existing definitions, annotates a corpus for use in machine learning and proposes new definitions of terms such as “Syndrome, feature” and “pattern recognition.”

Entrez API was used to retrieve articles form PubMed for the study which assembled a corpus of 398 articles using a search query for the ambiguous term “pattern” in the titles or abstracts. The python NLTK library was used to extract the terms and their contexts, and an expert check was carried out. To understand the various meanings of the term, the contextual environment was analyzed by extracting the surrounding words of the term. The expert determined the appropriate size of the context for analysis to gain a more nuanced understanding of the different meanings of the term pattern.

The study found that the categories of meanings of the term “pattern” are broader in biomedical publications than in common definitions, and new categories have been emerging from the term's use in the biomedical field. The study highlights the importance of annotated corpora in advancing natural language processing techniques and provides valuable insights into the nuances of biomedical language.

The study's findings demonstrate the importance of exploring contextual meanings and proposing new definitions of terms in the biomedical field to improve natural language processing techniques.

This study aims to investigate the factors that lead to the failure of some rewards to induce knowledge sharing behavior among employees, with much focus on employees’ attitudes and leadership’s knowledge of employees’ preferences, and presents a model that depicts the linkages.

To investigate why the provision of some rewards fails to induce knowledge sharing behavior among employees, this study uses the preferred reporting items for systematic reviews and meta-analyses framework to identify and analyze 56 articles published from 2000 to 2021.

Knowledge sharing is positively linked to organizational performance. Further, employees’ negative attitudes toward a reward system negatively relate to knowledge sharing behavior. Furthermore, management’s lack of knowledge of employees’ preferences regarding rewards leads to the provision of incorrect rewards that do not enhance knowledge sharing behavior. Finally, a conceptual model depicting the linkages among the variables under consideration has been presented.

Through the present study, employees’ attitudes toward rewards and leadership’s knowledge of employees’ preferences have been presented as critical factors that can lead to the failure of some rewards to induce knowledge sharing behavior. Further, the conceptual framework that can guide managers and leaders in strategizing on how best to develop and implement correct reward systems has been presented.

The present study is a significant contribution to the literature by focusing on the negative side of rewards toward knowledge sharing behavior with a focus on employees’ attitudes and leadership’s awareness of employees’ preferences regarding rewards.

Entrepreneurship, innovation, marketing and strategy.

Master’s, postgraduate and executive level programs.

The fashion industry has evolved over the generations. Fashion is what defines any person. Your style and quotient statement gives you an edge. In a world which is getting smaller and smaller with evolving mobile and computer technology connectivity, there has been a rise in new startups in personalized fashion. This sector of personal styling has seen an investment of over US$220m in the past two years. Social media is connecting billions of people around the globe. Roposo is the brand of Relevant E-solutions and was launched in 2012. It is the brainchild idea of Avinash Saxena, Kaushal Shubhank and Mayank Bhangadia. It has created a buzz in the fashion and social media industry. This case illustrates the connective power of social media and personalized fashion. Roposo has over 2 million active users which includes a number of Bollywood stars. These users are creating their own stories related to styling and fashion tips and inspiring millions worldwide. The case explores the journey of how Roposo has changed the style statement of millions of people.

The expected learning outcomes are as follows: to identify the new business opportunity in the fashion industry with the use of a social media platform; to understand the evolution of fashion with the boom in social media and mobile communications; to learn how the brand grows and how celebrities are also motivated to be a part of it to connect to their fans for free; to provide inspiration for students to start up an entrepreneurial venture; to find out how the use of recommendation engines should be done to keep users engaged; and to discuss threats of competitors.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 3: Entrepreneurship.

Introduction: Skill development is crucial in developing economies by enhancing productivity and creating employment opportunities. At the macro level, it also leads to industrial development and economic growth.

Purpose: The research is to identify the types of skills required for increasing the probability of employability of labour. It also aims to define the challenges and opportunities in skill development to drive change.

Need of the Study: Studying opportunities and challenges for skill development in developing economies is essential for achieving sustainable economic growth, reducing poverty, increasing employment opportunities, and promoting global competitiveness.

Research Methodology: Some skills are recognised through research that has been published to determine the skill set needed to increase labour productivity. To draw lessons, some skill development initiatives by various companies are also identified and presented in case studies. Additionally, several government programs are available to assess the possibilities and prospects for skill development in the Indian market.

Practical Implications: The research will be valuable in micro and macro decision making. At the micro level, research is advantageous for a business person to initiate the skill development of its employees by using government schemes. Nations other than India can understand the policy framework for skill development.

Findings: The term ‘skilling’ has become fashionable. Due to the need for skill-based earnings data, only some studies examine the return on skill (ROS) of the labour market. Skill development plays a significant role in bringing change at the micro and macro levels. Hence it is necessary to exploit all opportunities for skill development.

Implementing big data analytics and client customization programs is causing a significant revolution in the insurance sector. This study examines how big data analytics may revolutionize the insurance industry, emphasizing how consumer customization can improve customer experiences, maximize risk assessment, and spur company expansion.

An empirical study with statistical analysis using tools like correlation and regression was carried out to ascertain the relationships between the various sets of variables—personalized customer experiences and customer satisfaction and customer profiling leads to more effective targeting of marketing efforts. We explore essential ideas like client segmentation, profiling, and retention via a thorough analysis of the literature and case studies, showcasing best practices and inspirational tales from top insurers.

The empirical study found that there is a very high correlation between transparency in data and stakeholders' trust. The study found that insurers may preserve their innovation-driven culture, strengthen customer relationships, and achieve sustainable development in a competitive market by embracing future technological innovations and resolving current challenges.

Insurance companies may seize new chances for individualized client experiences and long-term success in a market that is becoming increasingly competitive by utilizing cutting-edge technology like artificial intelligence and the Internet of Things. To effectively manage the changing terrain of consumer customization in the digital age, insurance professionals, academics, and legislators will find this study highly insightful.

The study is an original contribution based on literature and case studies analysis, showcasing best practices and inspirational tales from top insurers.

The present study delves into the incorporation of the Metaverse in the insurance industry, with an emphasis on augmenting consumer experiences via virtual interaction.

We explored secondary data sources on metaverse in the insurance industry and went through a thorough analysis of the literature and case studies, showcasing best practices and inspirational tales from top insurers.

The study found that insurers are ready to capitalize on the convergence of the digital and physical realms embracing the “phygital” environment. By making investments in the Metaverse, insurance companies can reduce new risks, enhance customer satisfaction, and streamline operations. But it also brings up issues with user privacy and security. The efficient application of metaverse solutions may be hampered by problematic areas including malware, cyberbullying, identity theft, cyber hacking, and cyberattacks. User privacy and data security are complicated issues that need the cooperation and accountability of several stakeholders.

Insurers may revolutionize traditional insurance interactions by utilizing cutting-edge technology like virtual reality (VR) and augmented reality (AR) to create personalized, interactive, and instructive experiences for their consumers. For insurers, the Metaverse has ushered in a new era of digital transformation by giving them a powerful arsenal of technological resources to engage with customers and develop creative business plans.

The study on the Metaverse in insurance—a virtual customer experience is an original contribution based on literature and case studies on virtual experiences. The ultimate goal of this study is to offer insights into the optimization of virtual client experiences in the digital age by examining the possible advantages, difficulties, and ramifications of applying Metaverse technologies in the insurance industry.

The present study apotheosises on the relationship between blockchain and fintech and its impact on the financial services sector. It then gauges into the various aspects that have been included in the published literature by the authors all across the world.

Post-pandemic, technology has led to tremendous opportunities in the financial sector, and the customers have started assessing financial services in online mode, thus enabling companies to innovate their business strategies. The present chapter aims to explore the areas where blockchain is benefitting the financial sector.

The objectives of this study were achieved through systematic review of literature performed with the help of bibliographic analysis. Further, a PRISMA model was developed, and the networks were derived with the help of Scopus analyser software and VOSviewer Version 1.6.15.

It is observed that since the introduction of the term and development of the first blockchain, a lot of work has been performed in the said domain, but it is still at a nascent stage. It is thus discovered that the string specific research documents got published in Scopus database from 2016 onwards, and a considerable amount is being performed by authors from China, the United States and India.

The present chapter exhibits the various dimensions in which a lot has to be yet explored and needs to devise innovative and full proof strategies which will enable to overcome the challenges, thus strengthening the position and working of the companies in Industry 5.0.

The aim of this study was to develop dietary fibre-enriched chicken sausage by incorporating fibre from a by-product of corn milling, apple and tomato processing.

Sausages were developed by replacing lean meat with corn bran (CB), dried apple pomace (DAP) and dried tomato pomace (DTP) each at 3, 6 and 9 per cent levels. Organoleptic, nutritional and physico-chemical quality attributes of treated sausages were evaluated. One product from each fibre source with very good organoleptic acceptability was selected to estimate total dietary fibre content and assess shelf life under refrigerated temperature.

Organoleptic acceptability of 3 per cent fibre-incorporated sausages were comparable with control. Moisture content decreased significantly in all treated sausages, protein content decreased in CB- and DAP-treated sausages, while ash content increased significantly in DTP-treated sausages. Emulsion stability and cooking yield was significantly higher in 6 and 9 per cent treated sausages, while crude fibre content was significantly higher in all the treated sausages.

Chicken sausages with very good acceptability, higher dietary fibre content and storability up to 15 days at refrigerated temperature were developed by incorporating CB at 3 per cent level and DAP and DTP each at the 6 per cent level.

The research is of value to meat processors. By-products like corn bran, apple and tomato pomace which are of low value can be profitably utilized to develop fibre enriched chicken sausage. Developed products will also help in promoting the image of meat as a healthy food.