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The purpose of this paper is to identify the training needs of the next generation of psychiatrists, and barriers in prescribing first-generation antipsychotics (FGAs), long-acting injectable (LAIs) antipsychotics and clozapine.

An electronic survey was sent to psychiatry residents (N= 75/288, 26 percent) at four Canadian residency programs in late December 2017. The survey was based on an instrument originally developed at the University of Cambridge and consisted of 31 questions in 10 content domains.

Nearly 80 percent of residents were aware that FGAs and second-generation antipsychotics (SGAs) have similar efficacy. However, extra-pyramidal symptoms and lack of training experience were the leading concerns associated with the prescribing of FGAs. Although over 90 percent of residents felt confident about initiating an oral SGA as a regular medication, only 40 percent did so with FGAs. Confidence with initiating LAIs and clozapine was 60 and 61 percent, respectively.

The survey highlights the need for better training in the use of FGAs, clozapine and LAIs. These medications can be effectively used in providing patients with the most appropriate evidence-based treatment options to improve treatment outcomes, while ensuring that these resources are not lost to the future generations of psychiatrists.

The survey may be the first of its kind to assess antipsychotic prescribing attitudes in Canadian psychiatry residents in multiple sites.

The Olympic Gold Quest (OGQ) was founded as a Non-profit to support Indian athletes in their quest to win Olympic Gold medals by bridging the gap between the best athletes in India and in the world. The support from OGQ has been instrumental to India in winning its highest number of medals at any summer Olympics. Buoyed by this success, OGQ has set up a target of achieving eight Olympic medals at the 2016 Rio Olympic Games. With OGQ relying on donations to support the athletes, the challenge is to market the Olympic cause by creating, communicating, and delivering the right offering for its donors.

OGQ was founded by Geet Sethi and Prakash Padukone with the mission to support potential Olympic medal winners, in achieving their dream, with the help of all the stakeholders; and the vision to scout for potential talent and identify their needs. It had eminent personalities from sports who understood the problems with Indian sports and from industry who had a passion for sports and supported it. OGQ supported its athletes for the 2012 London Olympics through voluntary contributions and its athletes won four medals. For the 2016 Olympics, OGQ had a target of eight Olympic medals and was scaling up its support to athletes. Viren Rasquinha, the CEO of OGQ, knew that he had to focus on getting more contributions as he needed more resources to support the athletes. For this OGQ needed to review its communication strategy to the current and potential donors.

The learning objectives of this case study are to understand business-to-business (B2B) marketing in a logistics organization; apply go-to-market (GTM) strategy in the logistics industry; design B2B distribution strategy so as to enhance geographic penetration; and develop digital marketing strategies in the logistics industry.

V-Xpress is a leading B2B player in the express cargo category in the Indian logistics industry. In March 2017, Sachin Nair, Head of V-Xpress Marketing, was presenting three different GTM strategies to the CEO for the new Assured Timely Movement services. He wanted CEO views on each of them so that he can choose the best one. Sachin was also trying to find a solution to backhaul problem in eastern India. The resolution of this problem would have helped V-Xpress to become a truly pan-India B2B logistics company. Sachin was also revamping the digital marketing strategy as part of ambitious V-Xpress marketing strategy. These initiatives were taken as part of CEO’s vision for reaching annual revenue of INR 10bn by 2020. Sachin was thinking about various options so as to implement these changes with least investments.

This case study can be used in B2B marketing, marketing management and marketing strategy course of an MBA program.

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CSS: 8: Marketing

The impact of COVID-19 has caused a recession in economies all over the world. In this context, the current study aims to analyze the prevailing economic scenario using a machine learning approach and suggest sustainable measures to recover the global economy taking the case of Make in India (MII) initiative of developing the economy as a base for the study.

A well-known topic modeling technique – Latent Dirichlet allocation (LDA) algorithm has been employed to extract useful information characterizing the existing state of selected sectors under the MII initiative alongside catalytic policies that have been implemented for the same. The textual data acts as the base of the study upon which suggestions are provided.

The findings obtained suggest that digital transformation will play a key role in concerned sectors to optimize the performance of manufacturing organizations. Additionally, inter-relationship between Key Performance Indicators for the economy's revival is crucial for effective utilization of foreign direct investment resources.

The novel efforts to utilize MII initiative as a case present crucial information which can be used by policy makers and various other stakeholders across the globe to enhance decision-making and draft legislation across different sectors to empower the economy.

The study presents a novel approach to utilize the MII initiative by identifying important measures for crucial sectors and associated policies that have been presented by employing a text mining approach which in itself makes it unique in its contribution to research literature.

The purpose of the study is to propose a framework for fleet management and make suitable distribution solution choices in the food industry.

This study reviews the literature to examine food distribution criteria. These criteria are used in the analytic hierarchy process (AHP) assessment and combined with discrete events simulation in a structured framework, which is validated through an empirical study.

The empirical case results demonstrate that both the AHP and discrete events simulation converge toward the same solution in most cases.

This study contributes to the literature on distribution management and develops a framework that can both guide future research and aid logistics practitioners in analysing distribution decision-making systems in dynamic environments.