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Bangalore, India

Chandwani R.,IIM Ahmedabad | De R.,IIM Bangalore
Electronic Journal of Information Systems in Developing Countries | Year: 2015

It is argued that ICT-for-development interventions should be seen as a dynamic and hybrid network of actors, artefacts, communities, and institutions embedded within the context. Comprehensive understanding of contextual nuances in ICT4D research is thus, an important determinant of quality of research. Scholars have emphasized that qualitative research is opportune in uncovering unique insights and comprehension in a poorly understood and hitherto unexplored arena such as ICT4D interventions in developing countries. While 'data' in most of the qualitative research refers to 'words or textual data', the advancements in the mobile technology, especially incorporation of compact cameras in the mobile phones, and increasing penetration of mobile phones allow researchers to easily capture multimedia data in their field study. We posit that multimedia data, having multiple dimensions as compared to textual data, enhance the capability of the researchers to understand and explore a specific dimension of qualitative research, namely the contextual dimension, enabling the researcher to undertake a more valid or rigorous investigation of the phenomenon as embedded in the context. By explicating the process of analysis of multimedia data- video recordings of doctor-patient interaction over telemedicine, the authors emphasize that multimedia data analysis can considerably enhance the quality of research in the ICTD domain. In doing so, this paper addresses two important issues related to the methodological issues in qualitative analysis of multimedia data: (1) when and why should the researcher consider collecting multimedia data as opposed to textual data and (2) how should the researcher proceed in analyzing the multimedia data.


Patil R.,Indian Institute of Technology Bombay | Avittathur B.,IIM Calcutta | Shah J.,IIM Bangalore
International Journal of Production Economics | Year: 2010

Firms that sell very short life cycle products often receive quantity discounts from their suppliers and transporters for placing larger orders. Practitioners and researchers have begun to recognize the need to decide the end of the season markdowns by studying the sales pattern. The use of these options can affect supply chain mismatch risks and costs. In this paper, we study the impact of quantity discounts and transportation cost structures on procurement, shipment and clearance pricing decisions through a stochastic programming with recourse formulation. We propose a solution procedure that efficiently solves this stochastic non-linear problem. Our computational experiments suggest that it is not always necessary to select the most complex action plan. Under some business environments, the conventional strategy of placing and transporting a single large order is a better option. We then identify situations where options such as markdowns and the use of quick response suppliers could be useful. © 2010 Elsevier B.V.All rights reserved.


Tiwari D.,IIM Bangalore | Patil R.,Indian Institute of Technology Bombay | Shah J.,IIM Bangalore
Operations Research Letters | Year: 2011

In this paper, we derive an optimal ordering policy for an unreliable newsboy who can place two sequential orders before the start of a single selling season by using a demand forecast update. Supply yield is modeled using a uniform distribution considering both the minimum order guarantee and the maximum yield. Our results indicate that a firm should focus on increasing the minimum order guarantee from a first stage supplier to reduce its total supply chain cost. © 2011 Elsevier B.V. All rights reserved.

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