Prediction Model for Bollywood Movie Success: A Comparative Analysis of Performance of Supervised Machine Learning Algorithms

The main purpose of this paper is to do a comparative analysis of prediction models using various machine learning techniques. The models will be used to predict whether a movie will be a hit or flop before it is actually released. The techniques used for comparisons are decision tree, random forest (RF), support vector machine, logistics regression, adaptive tree boosting, and artificial neural network algorithms. The major predictors used in the models are the ratings of the lead actor, IMDb ranking of a movie, music rank of the movie, and total number of screens planned for the release of a movie. The results of most models indicated a reasonable accuracy, ranging from 80 to 90%. However, models based on two techniques, RF and logistic regression, achieved an accuracy of 92%. From the results, the most important predictors of a movie’s success are music rating, followed by its IMDb rating and total screens used for release.

     

Inequality in healthcare R&D outcomes: a model of process disruption

ABSTRACT

The developing world has substantively different healthcare research and development (R&D) needs than the developed world. In this paper it is argued that healthcare inequality is primarily an outcome of the incentives of an innovation system that privileges wealthy markets. Given the difficulties inherent in challenging these incentive structures, it might be the R&D process itself (rather than its incentive structures) that, if disrupted, may ultimately improve access to R&D outcomes for poor populations. The objective of this paper is to spur novel thinking about the problem of healthcare inequality by developing a provocative conceptual model of healthcare R&D process disruption, based on the application of novel technologies to the research process itself, to radically lower the costs of R&D. The model developed here suggests that healthcare inequality might ultimately be mitigated by substantial reductions in time and cost in the biomedical R&D process made possible by novel technologies.     

International Stock Market Linkages and Spillovers: Evidence from Three Latin American Countries

ABSTRACT

Using a multivariate exponential generalized autoregressive conditionally heteroscedastic (M-EGARCH) model, this study examines price and volatility spillovers and response asymmetries between the equity markets of the United States and Brazil, Chile and Mexico. Our results vary depending on the openness of the country in terms of international trade. Evidence indicates that there are price and volatility spillovers from the United States to Mexico and Chile and but not to Brazil. In addition, our results indicate response asymmetries for Mexico and Chile, suggesting that the Mexican and Chilean markets are more sensitive to negative innovations originating from other markets than to positive innovations.

RESUMEN. Este estudio examina contagios de precio y volatilidad, y respuestas asimétricas entre los mercados de capital de Estados Unidos y Brasil, Chile y México, fundándose en un modelo exponencial generalizado multivariado, con un condicionante autoregresivo heteroscedástico (M-EGARCH). Los resultados obtenidos varían, dependiente del nivel de apertura de un país en lo que concierne al comercio internacional. Las pruebas indican que existen contagios de precio y volatilidades desde los Estados Unidos hacia México y Chile, pero no hacia Brasil. Además, los resultados también indican asimetrías de respuesta para México y Chile, sugiriendo que estos dos mercados son más sensibles a las innovaciones negativas que se originan en otros mercados, que a las innovaciones positivas.

RESUMO. Usando um modelo condicionalmente heterocedástico, autoregressivo, generalizado, exponencial e multivariado (M-EGARCH), este estudo examina contágios de preços e volatilidade, e assimetrias de resposta entre mercados de ações dos EUA e Brasil, Chile e México. Nossos resultados variam, dependendo da abertura do país em termos de comércio internacional. Os dados indicam que existem contágiosde preço e volatilidade dos EUA para o México e Chile, mas não para o Brasil. Além disso, nossos resultados indicam assimetrias de resposta para o México e Chile, sugerindo que estes mercados são mais sensíveis a inovações negativas originárias de outros mercados do que a inovações positivas.     

A bi-objective model for planning and managing rail-truck intermodal transportation of hazardous materials

We propose a bi-objective optimization framework for routing rail-truck intermodal shipments with hazardous materials, when shippers and receivers have access to alternate intermodal terminals. A tabu-search based solution methodology is developed, which together with the optimization framework is applied to realistic size problem instances to gain managerial insights. Our analysis indicates that drayage accounts for a significant portion of transport risk and that it can be reduced by scheduling direct and faster trains; and, that the mix of intermodal trains depends on the interest of the decision-makers, where the resulting traffic can facilitate planning emergency response systems.     

The effect of presentation,product availability and ease upon transaction reliability for online food delivery aggregator applications – moderated mediated model

ABSTRACT

With advancements in mobile technologies, online food-delivery aggregators (OFA) have become an important distribution channel for restaurants. This study examines how the OFA applications affect diner’s cognitive and affective states and subsequent behavior by empirically testing a research model that incorporates antecedents of transaction reliability for restaurant order booking using a mobile application. Data collected from a survey of 458 respondents are analyzed using SEM. Drawing from SOR, CVT, and cue theory, the research established that product presentation and ease of use predict transaction reliability and are important mobile application attributes while choosing a particular OFA. The moderated mediation model extends the stimulus-organism-response framework and the consumer value theory. The findings demonstrate the moderating influence of gender, where the relationship is stronger for females. The study has a positivist approach with causalities satisfying the fundamental law of SOR theory. Higher media richness shall lead to a positive feeling about the product. A good presentation of the products on the mobile screen shall enhance the perception of product availability. The presence of abundant products makes it easy to search, thereby ease of searching the mobile screen. Mobile applications should be updated regularly to keep pace with the ever-changing mobile technologies.     

An investigation of skill requirements for business and data analytics positions: A content analysis of job advertisements

Presently, analytics degree programs exhibit a growing trend to meet a strong market demand. To explore the skill sets required for analytics positions, the authors examined a sample of online job postings related to professions such as business analyst (BA), business intelligence analyst (BIA), data analyst (DA), and data scientist (DS) using content analysis. They present a ranked list of relevant skills belonging to specific skills categories for the studied positions. Also, they conducted a pairwise comparison between DA and DS as well as BA and BIA. Overall, the authors observed that decision making, organization, communication, and structured data management are key to all job categories. The analysis shows that technical skills like statistics and programming skills are in most demand for DAs. The analysis is useful for creating clear definitions with respect to required skills for job categories in the business and data analytics domain and for designing course curricula for this domain.     

The impact of individual and institutional investor sentiment on the market price of risk

We examine the effect of individual and institutional investor sentiment on the market price of risk derived from DJIA and S&P500 index returns. Consistent with behavioral asset pricing models, we find significant positive response of rational sentiment suggesting greater incentive for rational investors to engage in arbitrage when the compensation for taking risk is greater. Further, an increase in irrational optimism leads to a significant downward movement, but an increase in rational sentiment does not lead to a significant change market price of risk. These results are robust for both market indexes, DJIA and S&P500 and for both individual and institutional investor sentiment.     

Ethical Leadership,Organic Organizational Cultures and Corporate Social Responsibility: An Empirical Study in Social Enterprises

While recent studies have increasingly suggested leadership as a major precursor to corporate social responsibility (CSR), empirical studies that examine the impact of various leader aspects such as style and ethics on CSR and unravel the mechanism through which leadership exerts its influence on CSR are scant. Ironically, paucity of research on this theme is more prevalent in the sphere of social enterprises where it is of utmost importance. With the aim of addressing these gaps, this research empirically examines the interaction between ethical leadership and CSR and, in addition, investigates organic organizational cultures (clan culture and adhocracy culture) as mediators in the above interaction. To this end, a model was developed and tested on the sample of 350 middle- and top-level managers associated with 28 Indian healthcare social enterprises, using Structural Equation Modeling Analysis, Bootstrapping and PROCESS. Results reveal that ethical leadership both directly and indirectly influences CSR practices. The indirect influence of ethical leadership involves nurturing clan and adhocracy cultures, which in turn influence CSR. These findings are significant for social enterprise leaders seeking to encourage their organizations’ socially responsible behavior.     

Developments in Consumer Protection in India

This paper surveys the major developments in the field of consumer protection in India since 1984, when the statutory provisions for regulating unfair trade practices were incorporated for the first time.Among the developments described in the paper is the strengthening of provisions for consumer protection through amendments to the Act regulating restrictive and monopolistic trade practices (the MTRP Act). Public-sector undertakings and co-operative societies have been brought within the purview of the Act, and consumers have obtained the right to participate in inquiry proceedings before the MRTP Commission.Consumers and their associations have been given the right to seek redress of grievances arising out of the violation of certain pieces of legislation, including the Drugs and Cosmetics Act. The Consumer Protection Act, 1986, was enacted in order to provide speedy and inexpensive redress of consumers' grievances. Redress can now be sought before any consumer court also for negligence or deficiency in medical services.The Bureau of Indian Standards Act, 1986, has strengthened the measures for the standardisation and quality control of manufactured goods.A Consumer Welfare Fund has been set up to provide financial assistance to voluntary consumer organisations and for the general development of consumer movement in the country. A spurt in voluntary consumer organisations in different parts of the country can also be observed.Other developments include the establishment of a separate Department of Consumer Affairs in the Union Government and the setting up of a Consumer Product Testing Laboratory.     

Social media,an emerging platform for relationship building: A study of engagement with nongovernment organizations in India

The purpose of this study is to explore the major determinants of nongovernment organizations (NGOs) engagement and relationship building on social media in India. Netnography with a metaphoric grounded analysis is used for the data analysis to identify these determinants, and a conceptual framework is proposed to inform the strategic direction of NGOs. The findings suggest that supporters engage with NGOs largely for personal and organizational reasons. Emotions, trust, and information needs emerge as the primary personal drivers for engagement, whereas organizational accountability, performance, brand image, and transparency emerge as organizational drivers. Behavioural intention mediates the relationship between the drivers of engagement and supporter contributions. The study suggests that as the number of supporters on social media platforms is rapidly increasing, NGOs should recognize the importance of the supporter experience while designing their marketing strategies. Given the peculiarity of supporter behaviour in relationship building by NGOs, the inclusion of more supporters may improve the welfare of society.