Simplified Jackknife Variance Estimates for Fuzzy Measures of Multidimensional Poverty

In this paper, we present a practical methodology for variance estimation for multi‐dimensional measures of poverty and deprivation of households and individuals, derived from sample surveys with complex designs and fairly large sample sizes. The measures considered are based on fuzzy representation of individuals' propensity to deprivation in monetary and diverse non‐monetary dimensions. We believe this to be the first original contribution for estimating standard errors for such fuzzy poverty measures. The second objective is to describe and numerically illustrate computational procedures and difficulties in producing reliable and robust estimates of sampling error for such complex statistics. We attempt to identify some of these problems and provide solutions in the context of actual situations. A detailed application based on European Union Statistics on Income and Living Conditions data for 19 NUTS2 regions in Spain is provided.     

The impact of tourism on deficit in balance of payments of Pakistan: an application of bounds testing approach to cointegration

The current study is intended to analyze the long-run relationship between deficit in balance of payments (BOPs) and tourism for the period of 1976–2015 using the autoregressive distributed lag (ARDL) model. The findings of the paper exposed an indirect relationship between tourism and BOP deficit in the context of Pakistan economy, while deficit balance of trade, real effective exchange rate, and deficit in fiscal balance have a positive and significant association with the deficit in the BOPs in the long run. Based on the findings, it is recommended that policies should be devised that promote the tourism industry of Pakistan as it would be helpful in reducing the deficit in the BOPs.     

Convergence (divergence) and the U.S. states

The purpose of this paper is to examine whether established trends in labor productivity convergence have continued among the contiguous states of the U.S. from 1969 to 1990. This paper brings new and additional state data to bear on the question of productivity convergence among the U.S. states. The findings indicate that when the state value-added is deflated by the state-specific price deflator, a dramatically different picture of productivity convergence emerges. The study also finds that there is less evidence of state productivity convergence once the peculiar behavior of mining or extraction industries is taken into account.     

Cultural influences on new product adoption of affluent consumers in India

The purpose of the study was to explore how individual/personal and group-level factors influence Indian consumers' adoption of new food products. The results reflect the interdependence of consumers' individual views and beliefs with those of the group. Indian consumers' perceived characteristics of new foods and their innovativeness are key personal-level factors in impacting their new food purchase decisions. Reflecting collectivist tendencies, interpersonal communication sources and subjective norms at the group level are important mediators of Indian consumers' new food purchases. Marketing implications for food businesses are discussed.     

A preliminary analysis of incident investigation reports of an integrated steel plant: some reflection

Large integrated steel plants employ an effective safety management system and gather a significant amount of safety-related data. This research intends to explore and visualize the rich database to find out the key factors responsible for the occurrences of incidents. The study was carried out on the data in the form of investigation reports collected from a steel plant in India. The data were processed and analysed using some of the quality management tools like Pareto chart, control chart, Ishikawa diagram, etc. Analyses showed that causes of incidents differ depending on the activities performed in a department. For example, fire/explosion and process-related incidents are more common in the departments associated with coke-making and blast furnace. Similar kind of factors were obtained, and recommendations were provided for their mitigation. Finally, the limitations of the study were discussed, and the scope of the research works was identified.     

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.     

A cluster driven log-volatility factor model: a deepening on the source of the volatility clustering

We introduce a new factor model for log volatilities that considers contributions, and performs dimensionality reduction, at a global level through the market, and at a local level through clusters and their interactions. We do not assume a-priori the number of clusters in the data, instead using the Directed Bubble Hierarchical Tree algorithm to fix the number of factors. We use the factor model to study how the log volatility contributes to volatility clustering, quantifying the strength of the volatility clustering using a new nonparametric integrated proxy. Indeed finding a link between volatility and volatility clustering, we find that a global analysis reveals that only the market contributes to the volatility clustering. A local analysis reveals that for some clusters, the cluster itself contributes statistically to the volatility clustering effect. This is significantly advantageous over other factor models, since it offers a way of selecting factors in a statistical way, whilst also keeping economically relevant factors. Finally, we show that the log volatility factor model explains a similar amount of memory to a principal components analysis factor model and an exploratory factor model.     

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.     

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.