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With continuous change in the global and domestic markets for TPL services, it becomes imperative that both users and providers of TPL services equip themselves with the best in terms of strategy, processes and technology. One of the ways this can be achieved is to bridge the gap between what the industry wants and what research provides. This paper conducts a systematic literature review of research output on TPL vis-à-vis how the industry views the challenges faced by it in TPL services. The paper identifies that future research should focus on driving innovation particularly within the last mile by utilising route optimisation, incentivised scheduling, and real-time electronic tracking and communication. It should also focus on how to leverage employees and provide added value to shippers. Supply chain transformation through improved logistics optimisation and improved integration across the supply chain is also another important avenue to pursue in future. [ABSTRACT FROM AUTHOR]

The objective of the study is to develop a parsimonious model to predict the box office success of a Bollywood (Hindi) movie before its release. A movie is considered successful if the revenue generated is greater than its budget, in other words, a Revenue to Budget Ratio (RBR) greater than 1. An original data set of 1698 Hindi movies released across a period of 13 years is used to identify the success factors of a movie in the Indian context. Predictive models are developed using traditional methodologies like multiple regression and logistic regression, as well as, contemporary approaches like regression trees and classification trees. The results highlight a unique mix of elements that a producer should consider to ensure the success of a movie in the highly competitive Indian movie market. [ABSTRACT FROM AUTHOR]