IIM Indore seeks to be a contextually-relevant business school with world-class academic standards that develops socially-conscious managers, leaders and entrepreneurs. IIM Indore is committed to: Excellence in management education, research, and training, Use of contemporary participant-centric pedagogies and teaching methods, A presence in emerging segments of management education.

IIM Indore

Recommender systems are used in multiple applications and are actively used by people to find interesting places to visit or to eat, movies to watch, books to read, and in a variety of other ways. With the growth in applications in the industry, the study of such systems has emerged as specialised courses in technical institutes, universities and more importantly, in business schools. As such, there is a need for a simple model explaining the concept and working of recommender systems and their applications to real world situations for business school students. While there has been an extensive research to improve recommender systems, little work has been done to develop pedagogical tools for teaching recommender systems. In this article we present an easy to understand model which explains the core concepts behind recommender systems. This model has been tested in class, and has interactive ability not found in existing recommender systems. This allows a user to alter preference parameters and obtain improved recommendations. We hope that this tool will be useful to educators in providing both basic and advanced knowledge to business students on recommender systems.

Marketing

Information Systems

Journal of International Business Education

Teaching Interactive Recommender Systems – Recommending an Excel Based Approach

Strategic Management

Verification of Disbursement Linked Indicators (For World Bank Funded Project: Madhya Pradesh Citizen Access to Responsive Services, March 2017).)

Cloud-based enterprise resource planning (CLERP) provides scalability, flexibility, and cost-savings. The advantages of CLERP are most prominent in developing economies where access to robust information technology (IT) resources is difficult. However, despite the advantages, diffusion of CLERP in such regions remains low. This study aims to explore the drivers of CLERP selection and adoption by proposing a sociotechnical framework integrating three technology adoption theories: diffusion of innovations, task-technology fit, and extended technology acceptance model. The framework is tested using case study methodology based on semi-structured interviews in three higher educational institutions in India. The findings have important implications for both CLERP providers and clients aiming to enhance the rate of diffusion. The results suggest that vendors should focus on providing cost-effective, reliable, secure, standardized, long-term, convenient, and better quality of service and support to clients. Moreover, they should provide free trials and customize their solutions while maintaining a balance between additional costs incurred and business value gained due to customization. The clients, in contrast, should determine organizational fit of the CLERP and train their employees to minimize resistance to its adoption.

World University root node

Journal of Information Technology Case and Application Research

Exploring determinants of cloud-based enterprise resource planning (ERP) selection and adoption: A qualitative study in the Indian education sector

Avoiding Seven Common Errors

Indian Institute of Management Indore

A Novel Approach to Conference Budgeting: A Spreadsheet based Interactive Decision Support Model

Cheers, Rajan! Now for the tight rope walk!

The Transportation Problem: A Spreadsheet based Decision Support Model

Indian Institute of Management Ahmedabad

Exact Procedures for Non-Regular Measures of the Multi-Mode RCPSP

The multi-mode resource constrained project scheduling problem (MM RCPSP) is a NP-hard problem representing a generalization of the well-studied RCPSP. Depth-first tree search approach by Sprecher &amp; Drexl (1998) is the best known exact solution tree search procedure for this problem. In this paper we present two exact solution single-processor approaches: a breadth-first approach and a best-first monotone heuristic. The comparison with depth-first and CPLEX show promising results on small problem sets. We report extension of the breadth-first approach to yield exact multi-objective solutions for the PSPLIB (Project Scheduling Problem Library, Kolisch &amp; Sprecher, 1997) problem sets which is the first of its kind.

INDIAN INSTITUTE OF MANAGEMENT AHMEDABAD

Breadth-first and Best-first Exact Procedures for Regular Measures of the Multi-mode RCPSP

Indore Management Journal

Big Data: Road Ahead for India

Indian Institute of Management Ahmedabad India

New Exact Methods for Scheduling Multi Mode Multiple Resource Constrained Project Scheduling Problems