Time filter

Source Type

Jhamtani H.,Adobe Research Big Data Intelligence Laboratory | Chhaya N.,Adobe Research Big Data Intelligence Laboratory | Karwa S.,Google | Varshney D.,Adobe Research Big Data Intelligence Laboratory | And 2 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

Online forums are used to share experiences and opinions about products and services. These forums range from review sites such as Amazon (www.amazon.com) to online social networks such as Twitter (www.twitter.com). The user-generated content in these platforms capture the users’ opinions and sentiments. In this work, we explore the problem of identifying suggestions from text content. The paper first defines suggestive intent and then presents a supervised learning approach to identify text that contains suggestive intent. The results show high accuracy with a F1 score of 0.93. © Springer International Publishing Switzerland 2015.

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.

Shukla P.R.,IIM Ahmedabad | Dhar S.,Risoe Center | Mittal S.,IIM Ahmedabad
Proceedings of the 2014 International Conference and Utility Exhibition on Green Energy for Sustainable Development, ICUE 2014 | Year: 2014

Transport sector's fuel mix which is dominated by the fossil fuel imposes multiple external costs like energy security, air quality and climate change. In this study, alternate future scenarios are designed to explore the transitions of national transport system (till 2050). Several policy options are delineated that would facilitate the sustainable low carbon transformation of India's transport sector. The long term energy and emission trajectory of India's transport sector is assessed under alternate scenarios using the integrated assessment modelling framework. Co-benefits like energy security and local air quality that can be accrued by mainstreaming climate change polices into national sustainable development goals and sectoral plans are also estimated. There is no silver bullet that would enable the transition towards low carbon transport. An optimal mix of policies that includes fuel economy standards, modal shifts and cleaner energy supply is required to align climate and sustainable development goals in the long-term. © 2014 Asian Institute of Technology.

D'Cruz P.,IIM Ahmedabad | Noronha E.,IIM Ahmedabad
Information and Organization | Year: 2014

Drawing on a phenomenological inquiry of the subjective work experiences of Indian call agents employed in international-facing call centres, this paper highlights the interface between information and communication technologies and devices and employee experiences of customer cyberbullying. Providing holistic and contextualized insights into the genesis, course and outcome of customer cyberbullying, the paper shows that whereas the absence of visual cues does not impede employees' accurate interpretation of their negative experiences, it exacerbates customers' misbehaviour since the latter feel dissociated from and cannot see the impact of their actions on employees. While the technology-linked pace of work affects employee coping with customer cyberbullying, the maintenance of records and archives brings in concreteness and permanence through which retaliation is ruled out but reviewing the interaction for purposes of learning and even redressal is possible. © 2014 Elsevier Ltd.

Dass R.,IIM Ahmedabad | Jain R.,IIM Ahmedabad
17th Americas Conference on Information Systems 2011, AMCIS 2011 | Year: 2011

The exponential growth in lumber of telecom providers and unceasing competition in the market has caused telecom operators to divert their focus more towards customer retention rather than customer acquisition. Hence it becomes extremely essential to identify the factors causing a customer to switch and take proactive actions in order to retain them. The paper aims to review existing literature to bring up a holistic view of various factors and their relationships that cause a customer to chum in the telecommunication industry. A total of 140 factors related to customer chum were compiled by reviewing several studies on customer chum behavior. The identified factors are then discussed in detail with their impact on customer's switching behavior. The limitations of the existing studies and directions for future research have also been provided. The paper will aid practitioners and researchers by serving a strong base for their industrial practice and future research.

Discover hidden collaborations