The recruitment and selection of pension trustees: an integrative approach

The role of a pension trustee is significant, which makes the recruitment and selection of labour trustees an important issue. In this article, we examine and combine aspects of two approaches to recruitment and selection: the political nomination model and the more professional HRM approach. We argue that an integrative approach would acknowledge the political, regulatory and organisational context while incorporating valid selection criteria such as domain‐specific skills and performance on the job. Such an integrated process can help trade unions in filling labour trustee positions with talented individuals who are more likely to be effective in achieving labour's goals in pension governance.     

The development and application of a process model for R&D project management in a high tech firm: A field study

In R&;D organizations of high tech firms, multiple R&;D projects are executed concurrently and timeliness of project completion - i.e., developing the right products at the right times - is a matter of serious concern. Given that the priority of R&;D projects and the interdependencies between the projects in a high tech firm change dynamically, high tech R&;D project management is a complex and challenging endeavor. To improve the understanding and management of high tech R&;D projects, this paper reports the findings of a field study where we, first, develop and empirically estimate a model that relates project priority over time with the generative mechanisms of market pull and technical challenge associated with R&;D projects. Next, we develop and demonstrate the application of a process model within which the time-varying project priority model is embedded. The process model makes it possible to allocate fixed resources among competing projects with time-varying interdependencies, thereby improving the timeliness of project completion. This research was conducted in collaboration with a major U.S. high tech firm. The corporate R&;D center of the firm served as the research setting for the field study. We present an application of the process model to delineate the evolution of the R&;D organization with the merger of its (technology driven) parent firm with another (market driven) high tech manufacturing firm. The application of the process model generates theoretical insights that are used to develop testable propositions. Implications of the study findings and directions for future research are discussed.     

The Political Economy of India's Economic Reforms*

This paper analyzes the history of the relationship between the state and the private sector in India. It concludes that India's economic reforms, which made development policy more dependent on international trade and private initiative, depended on the evolution of technocratic and political conviction. Reformers needed the support of financial crises for overcoming the powerful vested interests opposed to reforms. Successful reforms involved largely homegrown strategies of policy and institutional change. They have produced impressive growth rates and have benefited the rich and the middle class. The challenge for development and sustainable reforms is to make it more inclusive for poor farmers and unorganized workers.     

Response adaptive procedures with dual optimality

The paper proposes an optimal response-adaptive procedure for a general class of responses using a combination of two clinically relevant optimality criteria. We provide a thorough development for trials involving two treatments and sketch the possible extension for multiple treatments. Some related asymptotic results are worked out. We provide simulation studies to compare the performance of the proposed procedure with some of the existing competitors. We illustrate our methodology on data from a real clinical trial.     

Ties that bind tourists: embedding destination motivators to destination attachment: a study in the context of Kumbh Fair,India

ABSTRACT

Despite the deep cultural value and strong appeal to global tourists, the Kumbh Fair has not been explored much by researchers. This is even though the Kumbh Fair is crafting the tourism of India, thereby leading to its overall socio-economic development. This study aims to examine the determinants of tourist motivation, such as ads awareness, destination image and online-communities, which provoke tourists to have attachment with the destination more closely. The study found the tourists’ attitude as a complementary mediation and spiritual stimuli as a mediating moderator are positively impacting on the significant relationship of destination motivators and destination attachment.     

Voluntary Disclosures When There Is an Option to Delay Disclosure

What incentives drive managers to disclose immediately when they have an option to delay disclosures? I examine this question in a two-period setting in which public news that is positively correlated with firm value arrives periodically. I show that, when the manager's likelihood of receiving information is independent of the public news, an informed manager is more likely to disclose immediately when the public news is good. This happens even as the disclosure threshold itself increases in the public news. My model provides a potential explanation for why managers have a higher propensity to provide earnings forecasts when current earnings are high. I also show that, even when disclosures are credible, the average price reaction to a voluntary disclosure is (i) decreasing in the magnitude of the public news and (ii) lower when the manager is more myopic. These results have potential implications for studies that use stock returns to measure the news contained in management disclosures.     

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.

     

ACTION RESEARCH IN SUPPLY CHAIN MANAGEMENT—A FRAMEWORK FOR RELEVANT AND RIGOROUS RESEARCH

In this article we present a framework that researchers can use when they prepare and conduct Action Research (AR) projects. Authors can also use the framework as a guide for how to write relevant and rigorous AR articles. AR is an applied form of case‐based research that can provide exceedingly relevant research in applied fields such as supply chain management. At the same time, AR is also a criticized research approach, particularly in terms of research rigor. With the ambition to address, as well as bridge, the gap between the relevance and rigor within AR research, we first develop a comprehensive research methodology framework that synthesizes the crucial aspects of the AR research methodology. Secondly, we review existing AR articles within logistics, operations management, and supply chain management and present the current state of AR research. After a critical review of the existing articles using our framework, we delineate vital aspects that should be addressed in future AR research. As relevance and rigor are not at odds, we believe that our comprehensive framework will pave the way for a growing stream of rigorous, as well as relevant, AR research.     

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.     

Effect of Internal Marketing on Hotels: Empirical Evidence for Internal Customers

Internal marketing is a concept where firms apply marketing tools to attract and retain the best employees that will later affect business performance in monetary and nonmonetary terms. This article deals with the effect of internal marketing in hotels on their performance, based upon data obtained from India. Researchers identified the constructs of internal marketing: interfunctional coordination and integration, job satisfaction, job security, empowerment, employee motivation, vision of the organization, quality of service, employee development, strategic reward, and senior leadership. Researchers analyzed the effects of these processes on interactive marketing and thereby business performance. This study seeks to help organizations design their own internal marketing plan by outlining the important elements necessary to improve the business performance of hotels.