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\date{\small \em Received: 1 January 1970 Accepted: 1 January 1970 Published: 1 January 1970}

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{{\textit{CrossRef DOI of original article:}} \underline{}}
\end{textblock*}\let\tabcellsep& 	 	 		 
\section[{I. INTRODUCTION}]{I. INTRODUCTION}\par
Information plays a crucial role in the overall development of the person which gets reflected into overall well-being of the country. Access to information expands knowledge, increases learning abilities, gives innovative ideas, and thus strengthens the person to meet challenges. In the rapidly changing environment, when there is lot of exposure to new technologies and policy changes at varied levels, timely information is essential to help the person to take real time decision. Several methods have been adopted since ages for information delivery. Information technology has passed through pre-mechanical, mechanical, electro-mechanical ages and is presently in the electronic age. During these ages, several technologies have been introduced which includes printing press, telegraph, telephone, radio, television, digital computers, mobile phones and the emerging artificial intelligence (big data, internet of things). Though radio and television have been an important source of mass communication, but the revolution in information is observed when the information started travelling through digital modes (internet). The previous sources of information were one-way communication mode with rigidity in time and place, while the modern sources of information are not only the two-way communication modes but also provide an interactive platform to the users through emails, messaging, chats, videoconferencing, virtual communities, etc. This has smoothened the flow of information, increased transparency, decreased transaction and transportation cost and eased the life. The development of various web-based services increase knowledge, provides new opportunities, expands business at national and international levels, increases productivity and accelerates growth. India has also made many strides in information technology. Particularly the development in Information and Communication Technologies (ICTs) associated with decrease in price of internet-enabled mobile phones (smart phones) and availability of internet services at competitive prices is providing all time connectivity to users. This has increased flexibility in accessing information at any time and at any place and even when moving. Efforts are being made to strengthen the networks via satellites and broadband connections. The recently launched Digital India Program aims at connecting 250,000 villages by 2019. The last mile approach of connecting India aims at including the persons from the remotest village in the development London Journal of Research in Humanities and Social Sciences process. In India, nearly seventy percent of the population live in rural areas and more than half of the population depends on livelihoods from agriculture. Therefore, agriculture and rural development is critical for increasing the national output. Indian government and other agencies have launched various rural area focussed web-based applications to fulfill the timely needs of the rural population. Some of the apps are Drishtee, N-Logue, Akshaya, Bhoomi, Rural e-Seva, Gyandoot, etc. There are also state-and region specific apps which provides information access in regional language. E-governance provides various panchayat level services through info-kiosks for rural and illiterate people with characteristics of voice, animation, touch screens, etc. in local language.\par
The utilization of technologies for information access varies according to the differences in education level, social class, gender, etc. This is reflected in terms of benefits derived from information technology. The present study attempt to determine the role of information technology in rural development taking the case of Karnataka state. 
\section[{The objectives of the study are to}]{The objectives of the study are to}\par
? To examine level of awareness of government schemes ? To analyze the level of awareness of government schemes according to the respondent's age.\par
The available literature favours ICT's impact on employment, income, education, health, women empowerment and governance, however, few considers its adverse impact on employment in the short run. In the long run, the employment growth recovers with various new opportunities. Majority of the studies are related with developed countries. In developing countries, internet penetration has occurred recently and it is still in the development phase. Since the socio-economic conditions in developing countries are different from developed countries, there is a need to study the impact of IT on rural development with reference to their local level factors. Also, the rural area is recognized in terms of predominance of agricultural livelihoods, low level of education, low skill, poor infrastructure, and social-and gender-based hierarchy, the studies conducted on the impact of IT on urban area cannot be replicated on the rural area. Rural area's own characteristics hinders with the process of overall development.\par
The present study tries to fill this gap by taking the case of villages of Karnataka. 
\section[{II. PRIMARY DATA}]{II. PRIMARY DATA}\par
The present study is mainly based upon the primary sources of data. The sample selection procedure involves multistage purposive random sampling. The selection of respondents is done in four stages, namely selection of Taluks (7 Taluk), selection of Gram Panchayat (14 Gram Panchayat), selection of villages (2 villages per Gram Panchayat) and selection of respondents (25 respondents per village, 20 males and 5 females).\par
? The selection of district is based on population size. It was considered that development of facilities takes place where the concentration of population is high.\par
? Taluks are selected on the basis of ICT index which includes radio/transistor/ television, landline telephone, mobile phone and computer / laptop with internet.\par
? The selection of villages is on the basis of their population size as well as distance of village from highways. From each taluk, one village at the highway and the other village at a distance of 10 km or more from highway was selected.\par
The total sample size is 520 consisting of 210 males and 310 females. The sample is selected irrespective of caste, income and occupational status. This enabled us to include each and every individual in the study. The respondents are in the age group of 20 to 60 years as population under this age group is considered to be highly productive. Though working age group starts from 15 years, but in the present scenario, majority of the population acquires education upto the age of 20 years and becomes the part of labour force London Journal of Research in Humanities and Social Sciences later on. A separate category on females is prepared for the purpose of determining the change in social status as the change in status of females reflects overall social development in the village.\par
To test the awareness of Rural Entrepreneurs of the various benefits under the MSME Schemes 49 questions were asked under 8 heads. These 8 heads were further considered to be the variable that decides the course of this research. These questions were asked, and the responses were received based on the five broad parameters as a "Likert scale", each item was in five points scale indicating the degree of agreement with a statement in ascending order: 1 = Strongly Agree; 2 = Agree; 3 = Neutral; 4 = Disagree; 5 = Strongly Disagree.\par
Since the responses collected were in the ordinal form to make it continuous, the researcher calculated each variables average (mean). And these were further used to analyse the level of awareness of the respondents on government schemes related to the Rural Entrepreneurswhich were classified into three categories: high level, moderate level, and low level for analysis purpose. This method was adopted based on the research carried out by Devi, P. \& Thayammal, I. P. R.  {\ref (2017)}. While the score value greater than (?¯+ SD) were classified as high-level awareness and the score value less than (?¯-SD) were classified as low-level awareness respectively and the score values between (?¯+ SD) and (?¯-SD) have been classified as moderate level of awareness. Here to find ?¯the arithmetic mean and standard deviation (SD) of the score values of 347 respondents were calculated. \begin{figure}[htbp]
\noindent\textbf{1} \par 
\begin{longtable}{P{0.2833333333333333\textwidth}P{0.08958333333333333\textwidth}P{0.07916666666666666\textwidth}P{0.125\textwidth}P{0.17708333333333334\textwidth}P{0.09583333333333333\textwidth}}
\tabcellsep Statistics\tabcellsep \tabcellsep \multicolumn{2}{l}{Scale for Level of Awareness}\tabcellsep \\
Variables\tabcellsep \multicolumn{2}{l}{Mean (x )¯S D}\tabcellsep Low Level\tabcellsep Moderate level\tabcellsep High Level\\
Institutional Support\tabcellsep 2.81\tabcellsep 1.35\tabcellsep < 1.46\tabcellsep 1.46 to 3.93\tabcellsep 3.93 <\\
Marketing Support\tabcellsep 2.85\tabcellsep 1.09\tabcellsep < 1.76\tabcellsep 1.76 to 3.93\tabcellsep 3.93 <\\
Infrastructure Support\tabcellsep 2.77\tabcellsep \multicolumn{2}{l}{0.99 < 1.78}\tabcellsep 1.78 to 3.77\tabcellsep 3.77 <\\
Technical Support\tabcellsep 3\tabcellsep \multicolumn{2}{l}{0.97 < 2.03}\tabcellsep 2.03 to 3.97\tabcellsep 3.97 <\\
Central Government Schemes\tabcellsep 2.9\tabcellsep 1.32\tabcellsep < 1.58\tabcellsep 1.58 to 4.22\tabcellsep 4.22 <\\
State Government Schemes\tabcellsep 2.94\tabcellsep 1.34\tabcellsep < 1.6\tabcellsep 1.6 to 4.28\tabcellsep 4.28 <\end{longtable} \par
 
\caption{\label{tab_0}Table 1 :}\end{figure}
 			\label{foot_0}\footnote{\label{foot_0} Volume 23 | Issue 4 | Compilation 1.0 © 2023 London Journals Press Reach the Unreached} 		 		\backmatter   			 \par
The study examines the Rural Entrepreneurs awareness level towards the MSMEs Schemes. The schemes which were taken into consideration as factors in this study were Institutional Support, Marketing Support, Infrastructure Support, Technical Support, Central Government Schemes, State Government Schemes. The study examines the Rural Entrepreneurs awareness level towards the MSMEs Schemes. The schemes which were taken into consideration as factors in this study were Institutional Support, Marketing Support, Infrastructure Support, Technical Support, Central Government Schemes, State Government Schemes. 			  			 \par
level, 2.03 to 3.97 for moderate level and below 2.03 for low level.\par
It is observed that the values of Awareness of Central Government Schemes were classified as 4.22 for high level, 1.58 to 4.22 for moderate level and below 1.32 for low level.\par
It is observed that the values of Awareness of State Government Schemes were classified as 4.28 for high level, 1.6 to 4.28 for moderate level and below 1.6 for low level. From the above table -2 it was observed that for all variables the p-value was less than 0.05. Therefore, the null hypothesis (H0) was rejected at the 5\% level of significance. The Rural Entrepreneurs were not aware of various benefits under the Institutional Support and were rejected. Hence the alternate hypothesis can be accepted i.e. The Rural Entrepreneurs were moderately aware of various benefits under the MSMEs Schemes were accepted.  
\subsection[{III. CONCLUSIONS}]{III. CONCLUSIONS}\par
The study examines the Rural Entrepreneurs awareness level towards the MSMEs Schemesusing the Kruskal-Wallis Test. The schemes which were taken into consideration as factors in this study were Institutional Support, Marketing Support, Infrastructure Support, Technical Support , Central Government Schemes ,State Government Schemes. The study reveals that majority of the Rural Entrepreneurs had a moderate level of awareness towards the schemes.\par
The study examines the Rural Entrepreneurs awareness level towards the Welfare Schemes using the Kruskal-Wallis Test. The schemes which were taken into consideration as factors in this study were Institutional Support, Marketing Support, Infrastructure Support, Technical Support, Central Government Schemes , State Government Schemes. The study reveals that majority of the Rural Entrepreneurs had a moderate level of awareness towards the schemes.\par
This exercise has brought some important results into light: Karnataka is at fourth position in digitalization. The other states ahead of Karnataka are Telangana, Kerala and Andhra Pradesh. Among the various IT assets, namely radio/transistor, television, landline telephone, mobile phone, and computer/ laptop with internet, Karnataka is ahead of India for all the assets except radio/transistor and landline telephone. Also the households using mobile phones (59\%) is highest followed by television (54\%) and radio (19\%). The use of rest of the IT assets is less than 10 percent. Mobile phones are highly preferred as it provides an interactive platform to the users and helps them in getting immediate solution to the problems. The high preference for television is because the colourful pictures attracts the less educated rural people. Television is generally used for entertainment at night after a hard day work. As compared to 2001, the users of mobile phones have drastically increased by 59 percent by 2011 and for television, it has increased by 15 percent, while for radio/ transistor, a decrease of 11 percent is observed. This has given a boost to the telecom sector with teledensity increasing from 34 subscribers per 100 population in 2008 to 109.53 subscribers per 100 population in 2018, indicating that some of the subscribers have more than one connection. Karnataka shares about 6.3 percent of the total internet subscribers and 6 percent of the total mobile phone subscribers of the country. However, there is a disparity in the distribution IT subscribers. Rural-urban disparity is found to be very high for wireless connections followed by internet connection and television. As compared to urban area, rural area lags in development of IT infrastructure, connectivity strength, income and education level. These factors restricts the rural population from having an IT device for information access. Majority of the respondents access information from traders, input suppliers, marketers, extension workers, etc. though few are using EDhara, I-Khedut Portal and Kisan Call Centre. Non-farmers access information for knowledge upgradation, development of new ideas, skill development and purchase of materials. The correlates of information access show significantly positive relationship with ownership of IT device, family background, availability of basic services and significantly negative relationship with lack of knowledge for both males and females. It is significantly positive with autonomy in use of information and internet connection for males. Distance of village from the highway has weak impact on income and social development.\par
London Journal of Research in Humanities and Social Sciences			 			  				\begin{bibitemlist}{1}

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