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Introduction: The frequency and complexity of cyber assaults have grown in recent years. Consequently, organisations have increased their expenditures in more robust infrastructure to protect themselves from these cyber assaults. These organisations’ assets, data, and reputations are at risk due to rapidly increasing cybercrimes. However, complete protection from these many and ever-changing threats is very challenging as a result. To deal with them, companies are taking steps to reduce risks and limit company losses in their occurrence.

Purpose: Progressively, the insurance sector organisations are including digital protection as a component of the board’s general danger technique. Protection enterprises, then again, depend on accurately expecting risks, while a significant number of them depend on normalised approaches. Because of the exceptional attributes of the digital assaults, transporters now and again depend on subjective strategies dependent on master decisions. There is an unmistakeable absence of observational information on digital protection, specifically subjective examinations planning to comprehend and depict necessities, impediments, and cycles applicable for digital protection.

Methodology: There are various unanswered inquiries and worries about the oversight and legitimate and administrative assessment of network safety weaknesses in the protection business. In the wake-up of looking over all these worries and issues, steps to alleviate them are laid out after an extensive literature survey and secondary data sources. In this study, the authors have principally viewed the executive parts of the associations as the danger. While considering network protection, their insight of needs was taken as one among a few dangerous treatment systems, just as the necessities of the organisations’ protection in assessing the danger level of likely customers.

Findings: This section analyses past research in network safety and information security in the protection market. The danger of the executives’ strategies, the numerical models, and the forecasts of digital occassions are illustrated in this section. Lastly, the future headings are likewise expressed momentarily.

Practical implications: This review might be valuable for additional examination and logical discussion, yet additionally for down-to-earth applications. Moreover, it could be gainful to organisations as a supportive instrument for better agreement on what digital protection is and how to get ready to take on network safety and information security procedures in the association.

Significance: These associations’ resources, information, and notoriety are in danger because of quickly expanding cybercrimes. Cybercriminals are utilising more refined approaches to start digital assaults. Digital protection was anticipated to affect security conduct before any proof was gathered. Progressively, organisations are including digital protection as a feature of their general danger to the executive system. Because of the exceptional attributes of the digital assaults, transporters as often as possible depend on subjective methods dependent on master decisions. Thus, this space of network safety and information security is vital uniquely in the protection market.

A plethora of studies have documented evidence on morbidity patterns and treatment-seeking behaviour among older persons in India. However, so far no attempt has been made to understand differences in the morbidity prevalence rates and utilization of health care services among older adults between religion groups in India. The purpose of this paper is to make an effort in this direction.

Multivariate logistic regression models were fitted to examine the association between socio-demographic conditions and morbidity prevalence and health care-seeking behaviours among the two religion groups: Hindu and Muslim. Data from the 60th round of the National Sample Survey in 2004 were used.

This study provided interesting evidence that, overall, the morbidity prevalence rate was higher among Muslim older persons than their Hindu counterparts by seven percentage points and Hindu scheduled caste (SC) and scheduled tribe (ST) counterpart population (compared to SCs eight percentage points, and STs 20 percentage points); income had no association with the burden of disease among Muslim older population – an older person belonging to the first income quintile was equally likely to report ill-health as an older person of the fifth income quintile. However, despite the low socio-economic status, Muslim older persons were more likely to seek treatment for ill-health compared to Hindu older persons but spent less money for treatment. Also, loss of household income due to sickness was greater among Muslim compared to Hindu older adults.

The findings of this study are important to support the policy makers and health care providers in identifying individuals “at risk” and could be integrated into the current programs of social, economic and health security for the older persons.

Three-dimensional (3D) printing is highly dependent on printing process parameters for achieving high mechanical strength. It is a time-consuming and expensive operation to experiment with different printing settings. The current study aims to propose a regression-based machine learning model to predict the mechanical behavior of ulna bone plates.

The bone plates were formed using fused deposition modeling (FDM) technique, with printing attributes being varied. The machine learning models such as linear regression, AdaBoost regression, gradient boosting regression (GBR), random forest, decision trees and k-nearest neighbors were trained for predicting tensile strength and flexural strength. Model performance was assessed using root mean square error (RMSE), coefficient of determination (R²) and mean absolute error (MAE).

Traditional experimentation with various settings is both time-consuming and expensive, emphasizing the need for alternative approaches. Among the models tested, GBR model demonstrated the best performance in predicting both tensile and flexural strength and achieved the lowest RMSE, highest R2 and lowest MAE, which are 1.4778 ± 0.4336 MPa, 0.9213 ± 0.0589 and 1.2555 ± 0.3799 MPa, respectively, and 3.0337 ± 0.3725 MPa, 0.9269 ± 0.0293 and 2.3815 ± 0.2915 MPa, respectively. The findings open up opportunities for doctors and surgeons to use GBR as a reliable tool for fabricating patient-specific bone plates, without the need for extensive trial experiments.

The current study is limited to the usage of a few models. Other machine learning-based models can be used for prediction-based study.

This study uses machine learning to predict the mechanical properties of FDM-based distal ulna bone plate, replacing traditional design of experiments methods with machine learning to streamline the production of orthopedic implants. It helps medical professionals, such as physicians and surgeons, make informed decisions when fabricating customized bone plates for their patients while reducing the need for time-consuming experimentation, thereby addressing a common limitation of 3D printing medical implants.

The implications of metallic biomaterials involve stress shielding, bone osteoporosis, release of toxic ions, poor wear and corrosion resistance and patient discomfort due to the need of second operation. This study aims to use additive manufacturing (AM) process for fabrication of biodegradable orthopedic small locking bone plates to overcome complications related to metallic biomaterials.

Fused deposition modeling technique has been used for fabrication of bone plates. The effect of varying printing parameters such as infill density, layer height, wall thickness and print speed has been studied on tensile and flexural properties of bone plates using response surface methodology-based design of experiments.

The maximum tensile and flexural strengths are mainly dependent on printing parameters used during the fabrication of bone plates. Tensile and flexural strengths increase with increase in infill density and wall thickness and decrease with increase in layer height and wall thickness.

The present work is focused on bone plates. In addition, different AM techniques can be used for fabrication of other biomedical implants.

Studies on application of AM techniques on distal ulna small locking bone plates have been hardly reported. This work involves optimization of printing parameters for development of distal ulna-based bone plate with high mechanical strength. Characterization of microscopic fractures has also been performed for understanding the fracture behavior of bone plates.

The purpose of this paper is to illustrate the systematic role played by Six Sigma methodology in improving the quality of healthcare. The literature review identifies the relevant opportunities for successful introduction and development of Six Sigma approach in healthcare sector.

A systematic methodology to identifying literature on Six Sigma in healthcare is presented. Web of Science, Medline, Emerald Insight, ASQ and ProQuest databases (1998-2016) were searched, and 68 papers of fair methodological quality were identified.

The findings of the systematic review reveal a growing interest in research on Six Sigma adoption in healthcare. The findings indicate that Six Sigma applications in healthcare have been focused on the entire hospital with no real focus on a particular department or function. The key findings on benefits, success factors, challenges and common tools of Six Sigma from the existing literature are also presented in the paper.

The papers included in the systematic review were peer-reviewed papers available in English. Due to these limitations, relevant papers may have been excluded. Moreover, the authors have excluded all conference and white papers for their inclusion in this study.

This paper can serve as a guide on how Six Sigma approach can be applied to improve the quality of healthcare. The authors also believe that this is possibly the most comprehensive systematic literature review on the topic and will set the foundation for various research avenues based on the key findings of this study.

Women are the change agents in today's society. They are not only the harbingers of growth and development but also act as a major catalyst in the economic advancement and prosperity of the nation. India has been witnessing an expansion in women entrepreneurs given the conducive startup ecosystem we have created over the years. It has inspired women to break the shackles and switch to being a game changer for themselves and many others over the years. The study aims to explore the impact of social entrepreneurial leadership on women empowerment and how does benchmarking help in this process.

Using a semi-structured questionnaire, the study conducted one-to-one in-depth and focused group interviews with the five women social entrepreneurs and their team. NVivo was used for content and thematic analysis.

Major themes identified from the study include financial independence, women empowerment, social identity, autonomy, mobility, attaining self-confidence, creativity and innovation, fulfillment of motives, action and social learning, and setting standards (benchmarks). The findings revealed that social entrepreneurial leadership has a significant impact on women empowerment through benchmarking.

Social entrepreneurial leadership has the potential to revolutionize the very concept of women empowerment. The research tries to study specific cases of social entrepreneurial leadership and how they have been instrumental in shaping up the life of others through their efforts and determination.

Smart urban governance research has progressed over the past few decades following changes and increasingly complicated city management difficulties. Therefore, the purpose of this paper is to use a scoping review and bibliometric analysis to examine all the publications on smart urban governance, especially in Asia.

A total of 1,900 smart urban governance articles indexed in the Scopus database was analyzed through scoping review and bibliometric analysis. The articles were analyzed by the number of publications per year, contributing countries, subject areas, authors, cited documents, related issues and cited papers. Furthermore, VOSviewer was used to provide a visual analysis of the co-occurrence of keywords.

This study indicated that urban smart governance publications continue to increase yearly. Even though the area of analysis is Asia, the USA and China seriously contributed to the analysis. Therefore, the topic of smart urban governance has become a discussion for scholars in the international. From the Scopus database analysis, the top three subject areas are social sciences (28%), environmental science (20%) and medicine (16%). The synthesis using bibliometric analysis by VOSviewer obtained 13 clusters.

This study only focuses on the Scopus database and one specific topic, using one bibliometric analysis tool. Meanwhile, national and international index databases are not used.

This paper examined publication trends on smart urban governance. This paper provided a comprehensive analysis of topic-specific knowledge areas based on previous studies. Additionally, this paper suggested the direction of the development of smart urban governance in the future.

The learning outcomes are as follows:

1. enable students to appreciate how a platform company can navigate through diminishing network effects;

2. enable students to foresee the downside of scaling up a platform business;

3. enable students to appreciate the trade-off between an efficiency-centric and a novelty-centric business model for platform businesses; and

4. enable students to create a platform business model canvas for a company.

The teaching case discusses the dilemma of Akshay Chaturvedi, the founder of Leverage Edu, an artificial intelligence-enabled platform for students seeking admission to foreign universities. It had received nearly US$9.6m in funding until December 2021.

Chaturvedi wanted to make the best use of his funds, but was torn between turning Leverage Edu into an “efficient platform” and transforming it into a “novelty-centric platform”. The teaching note attempts to resolve Chaturvedi’s dilemma by analyzing competitors using the platform canvas model and determining how Chaturvedi could create and use network effects to Leverage Edu’s advantage. The case is based on secondary data that is freely available in the public domain.

This case is intended for MBA Entrepreneurship students taking a platform business elective. It can also be used in faculty and management development programs under the banner “Technology and Platform Businesses”.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.