Artificial Intelligence and Automation
Emergent research posits that artificial intelligence (AI), especially machine intelligence (MI), is the most important general-purpose technology of our era. Rapid advances in MI are engendering economically significant applications in speech and face recognition, customer retention, R&D, trading, anomaly detection, and operations and workflow design, amongst others, across diverse sectors. These applications, in turn, are giving rise to new tasks and occupations, new processes, and new business models, whose contribution is expected to increase from $1.3 billion in 2016 to $59 billion in 20251. However, the evidence of such impact is generally anecdotal in that it has largely comprised a relatively small number of use cases that are not generalizable to a larger cohort of firms and industries. 

SRITNE is interested In studying AI-based workflow automation and work models based on empirical data to present statistical evidence of the systematic and increasingly pervasive impacts of AI on business and society. 
Block chain
Block Chain in Transport:
Urban population in India generates over two thirds of the country’s income and about 90% of the government revenues. As more and more parts of the country are urbanized, the momentum of growth can be sustained only if the towns and cities run efficiently. The efficiency of any region largely depends on the transport system. 
Although cities in India have lower number of vehicles per capita compared to developed nations, they suffer from worse conditions of pollution, road accidents and traffic congestion. In order to deal with current circumstances entailing traffic congestion, minimize air pollution and road accidents, it is necessary that we strive towards a better transport management system.
This research proposal to the Andhra Government looks into the current challenges faced by the transport department and how they can be addressed by revising the processes and introduction of blockchain in the ecosystem. The proposal first talks about the integration of blockchain in various processes such as vehicle registration, vehicle transfer, tax management, traffic congestion, emission check, driver’s license, tenders, auction and toll road management.

We are interested how the introduction of this new technology can benefit both the stakeholders in the transport department and the citizens. 
Block Chain in Land Registry System:
Today, land ownership can be determined through a set of documents that include the record of rights (RoR), the registered sale deed, survey documents, and property tax receipts. RoR includes details such as the name of the land holder, the number and size of the plot area and revenue rate (for agricultural land). Registered sale deed records the buyers, sellers and other details of all the transactions including tax payment concerned with the area. Survey documents record the geographical boundaries and provide a proof of the property in the government records.  In the last three decades, in an attempt to improve the quality of land records, and make them more accessible, the central government has implemented various schemes for the modernization of land records that involved digitization of maps, and integration of textual and spatial data, computerization of all existing land records, surveys etc. In spite, of various attempts by the government to digitize the process, a report by The Ease of Doing Business (2015) observed that the pace of advancement and digitization has been slow and process of digitization alone is not sufficient for making the system run smoothly. In addition to digitization, we need to automate and integrate processes to reduce dependencies and make the system more transparent. Hence, there is a need to redesign the existing processes involved in land registration system. 
We are interested how blockchain can be implemented to automate the long processes involved in land registry system through smart contracts where the scope, resources, deadlines and responsibilities of a task can be outlined clearly. Such a setup would reduce dependencies and instill accountability in the stakeholders and the employees. In this research proposal to the Andhra Government, we further outline the research questions that would help assess the overall impact of Blockchain.
Digital skilling
Poverty and unemployment contribute to slow progress of our nation. To reduce poverty the youths employable are identified and trained in a large scale. The Ministry of Rural Development  (MoRD), Government of India has been laying special emphasis on skill development as means to poverty alleviation to fill the employment potential of 70 million jobs that is expected to be created during the 11th Plan (2007-12). It has been providing grant-in-aid to various State Governments, NGOs and Corporates to undertake employment linked skill development programmes. Coverage of the beneficiaries from various categories such as, age, gender, religion, caste, economic, educational background etc. Socio-economic aspects of beneficiaries before and after the programme. Career advancement / prospects of the beneficiaries after training & Placement. Extent of financial contribution of the beneficiaries from the salaries as support income for their families. Economic status of the family pre and post training of the beneficiaries. Adherence to terms and conditions indicated in the sanction order and retention / tracking of placed candidates. Comparative analysis of the training and employment outcomes for pass-outs of the training centres and those individuals who dropped out or did not take trainings. Feedback from key stakeholders – MORD, NIRD, Placement-Partners etc.Swot (Strengths, Weaknesses, Opportunities and Threats) analysis of the programme and suggestions.
T Fiber
The Government of Telangana has recognised the importance of connecting rural governing bodies given the distance penalty that often accompanies a rural location. Named as the Telangana Fiber Grid (T Fiber), the project undertaken by the Government of Telangana aims to provide affordable yet high speed connectivity through digital infrastructure to 47lakh households in 10 Zones (31 Districts), 584 Mandals, and 8778  Gram  Panchayats  of  the  State  of  Telangana. To showcase the capabilities of the T -Fiber, a demonstration network called the Technology demonstration network [TDN] was created by integrating Government to Citizen services [G2C] such as MeeSeva,T-Wallet,  IPTV  and  IP-Phone  services and Government  to Government services [G2G] like ePanchyat, eAgriculture, TeleMedicine, eEducation and Video  Conferencing. The Telangana Government further envisages the network to accord greater efficiency in Government transactions, better traffic management systems, ease of access by citizens to Government records as well as well-ordered functioning of mandatory public services.

This study aims to contribute to the mission of T Fiber e-Governance Services by providing insights into the TDN characteristics and T Fiber business models that have the greatest chances of long-term sustainability and documenting and demonstrating the social impact of T Fiber. The specific research questions and methodologies underlying this research objective are detailed in the following sections. 
Research Papers
1Simranjeet, Sidhu; Neriyanuri, Yasasree"The e-Commerce Marketplace in India: Achieving excellence in providing consistent customer experience"2014
2Saurabh, Suman; Singh, Rajandeep "Mobile Marketing: New dimension of customer engagement"2014
3Shrimali, Gireesh; â€‹Banerjee, Shankhadeep ; Anshuman; Singh, Deepti"Identifying the optimal mix of 3G VAS Service Bundle & Pricing Strategy for Indian Telecom Service Providers "2009
4Bapna, Ravi;  Langer, Nishtha; Mehra, Amit;  Gopal, Ram; Gupta Alok"Human Capital Investments and Employee Performance: An Analysis of IT Services Industry", Management Science, 59 (3), 641–6582013
5Shrimali, Gireesh; Mohanram, Yashasvi; Sumantra, Dasgupta "The Indian Mobile Telecom Industry -A study of the regulatory and competitive environment and possible drivers for future growth"2009
6Mani, Deepa; Barua, Anitesh; Whinston B Andrew.  "An Empirical Analysis of the Contractual and Information Structures of Business Process Outsourcing Relationships", Information Systems Research, 23 (3), 618-6342012
7Mani, Deepa; Barua, Anitesh; Whinston B Andrew.  "Outsourcing Contracts and Equity Prices", Information Systems Research, 24 (4), 1028 – 1049 2013
8Bapna, Ravi; Barua, Anitesh; Mani, Deepa; Mehra, Amit"Cooperation, Coordination and Governance in Muti-Sourcing: An Agenda for Analytical and Empirical Research", Information Systems Research, 21 (4), 785-7952010
9Mani, Deepa"Successful Business Process Outsourcing", MIT Sloan Management Review, 47 (2), 5-62006
10Nandkumar, Anand; Mani, Deepa"Demonetisation"2018
11Nandkumar, Anand; Mani, Deepa"Privitization"2018
12Nandkumar, Anand; Mani, Deepa"ITIHAASA-IT History"2018
13Nandkumar, Anand; Mani, Deepa"Risky R&D"2018
14Nandkumar, Anand; Mani, Deepa"Women Entrepreneurs and Selection"2018
15Nandkumar, Anand; Mani, Deepa"Clusterprenurship"2018
16Nandkumar, Anand; Mani, Deepa"Funder - Founder Differences"2018
17Nandkumar, Anand; Mani, Deepa"Women on Brands"2018