An Empirical Study on the Powerloom Entrepreneurs Expectations towards the Enhancement of Business Ecosystem with Special Reference to Tamilnadu

Authors

  • Dr.S. Sudha Associate Professor, Department of Management Studies, Nandha Engineering College Author
  • K. Nathiya Assistant Professor, Department Of Management Studies, Nandha Engineering College Author
  • N. Thamilchelvam Assistant Professor, Department Of Management Studies, Nandha Engineering College Author
  • L. Jothibasu Assistant Professor, Department Of Management Studies, Nandha Engineering College. Author

DOI:

https://doi.org/10.61841/yxqfen71

Keywords:

Powerloom Entrepreneurs, Business Ecosystem, Primary Data

Abstract

 The power loom sector is ultimately a labor-focused sector. It offers large-scale employment prospects to the societies there by helping in solving the unemployment problem successfully. The power loom units are usually located in semi-urban and rural zones and support altering the regional inequities. It has empowered the weaker segments of society to earn their livelihood. In the present study, we collected systematically both extensive primary and reliable secondary data. For collecting primary data, convenience sampling technique was used in the study area through a structured questionnaire. The expectation of support from the government for rehabilitating the powerloom industry and the opinion regarding the scope of growth and development in the powerloom sector in the near future, etc., were also collected. The total sample size of 500 respondents was approached in Erode, Karur, and Salem districts. The total populations of the power loom entrepreneurs are not available since more entrepreneurs have not registered themselves with proper authority for doing the power loom business. The non-availability of the total population made the researcher adopt a non-probability sampling method. Under this convenience, sampling techniques were used to collect the primary data. 

Downloads

Download data is not yet available.

References

[1] Hemang Shangvi, “Need to modernize powerloom sector”, Textile Magazine, P.30, July 2005

[2] Manivannan L., Saravanaraj M.G., Gopan R., and Manivannan C., “Strategic Approach to Power Loom

Business: An Empirical Evaluation”, The ICFAI Journal of Business Strategy, Vol. IV, No. 4, 2007.

[3] Arun N. Jariwala, “Powerloom Sector of India: A SWOT Analysis," Textile Review, Vol. 2, Issue 6, P. 7.

June 2007.

[4] Hoa, N.T., & Voznak, M. (2019). High Speed and Reliable Double Edge Triggered D-Flip for

Memory Applications. Journal of VLSI Circuits and Systems, 1(1), 13-17.

[5] Shamim, F.M. & Vishwakarma, S. (2016). Exploiting the Motion Learning Paradigm for Recognizing

Human Actions. Bonfring International Journal of Advances in Image Processing, 6(3), 11-16.

[6] Kumar, K.A., Sadulla, S., & A. Surendar (2018). Statistical Analysis of Reliable and Secure Transmission

Gate-based Arbiter Physical Unclonable Functions (PUFs). Journal of Computing Information Systems,

14(3), 62-69.

[7] Puliyath, S. (2014). Advanced Secure Scan Design against Scan-Based Differential Cryptanalysis.

International Journal of Advances in Engineering and Emerging Technology, 5(6), 274-279.

[8] Rinesh, S., and Jagadeesan, S. (2014). Detection and Localization of Multiple Spoofing Attackers in

Wireless Networks. Excel International Journal of Technology, Engineering, and Management, 1(1), 17-20.

[9] Sadish Kumar S.T., & Kasthuri N. (2014). Determination of epileptic disorder with discrete wavelet

transforms and neural network classifier. Journal of Computer Science 10(1).

[10] Thilagamani S. & Shanthi N. (2014). Gaussian and Gabor filter approaches for object segmentation. 2013

International Conference on Optical Imaging Sensor and Security, ICOSS 2013.

[11] Jothilakshmi, R., Shanthi, N., & Babisaraswathi, R. (2013). An approach for semantic query expansion

Based on the maximum entropy-hidden Markov model. In 2013 Fourth International Conference on Computing,

Communications and Networking Technologies (ICCCNT) (pp. 1-5). IEEE.

[12] Sadagoban K., Tamizhchelvan M., Gopalakrishnan S., & Gopalakrishnan S. (2015). Information gathering

practices of engineering faculty members: An emphirical study. International Journal of Applied

Engineering Research 10(3):6389-6404.

[13] Kanchana A. & Arumugam S. (2015). Diffie-Hellman-merkle longer key usage on minutiae, orientation,

and density-based palmprint pattern matching. International Journal of Applied Engineering Research

10(3):6833-6850.

[14] Murthi M.K., Nithiyanandam S., Srinivasan P.S., Sivakumar D., Ashok T. (2015). The effect of karanja oil

and its blend with additives on performance and emissions from a diesel engine. International Journal of

Applied Engineering Research 10(1):59-68.

[15] Sureshkumar T. & Shanthi N. (2015). LVC-D: A technique to extract web page data using layout, visual and

content-based features. International Journal of Applied Engineering Research 10(2):2465-2481.

[16] Usha, Arumugam (2016). Detection of calcification in mammograms using the nearest neighbour algorithm.

IIOAB Journal, 7(9).

[17] Bennet A., Sankaranarayanan, Kandasamy R., Rathna, Jaishreebai, Nalini.(2016). Investigation of audio

signals watermarking using empirical mode decomposition. IIOAB Journal, 7(9).

[18] Bennet A., Kandasamy R., Sankaranarayanan, Nandhini, Meena, Alamelu.(2016). Performance &

analysis automation of medical reimbursement for BSNL. IIOAB Journal, 7(9).

[19] Kalyanasundaram P., Gnanasekaran T. (2016). A noval method for optimizing maximal lifetime coverage

(OMLC) scheduling of nodes in wireless sensor networks. IIOAB Journal, 7(9).

[20] Chandravathi C., Somasundaram K., Kandasamy R., Velmurugan J. (2016). Implementation of kerberos

based authenticated key exchange protocol for parallel network file systems in the cloud. IIOAB Journal, 7(9).

[21] Jagan K., Sivasankaran S., Bhuvaneswari M., Rajan S. (2018). Effect of thermal radiation and slip on

unsteady 3D MHD nanofluid flow over a non-linear stretching sheet in a porous medium with convective

boundary condition. Journal of Physics: Conference Series, 1139(1).

[22] Jamuna P., Ramesh S. (2018). Experimental Validation of Impedance Source Network Based Active Power

Filter for Interconnection of PV System into Grid. Journal of Circuits, Systems, and Computers, 27(14).

[23] Kumar S.S., Karthick M. (2018). An Secured Data Transmission in Manet Networks with Optimizing Link

State Routing Protocol Using ACO-CBRP Protocols. ICSNS 2018: Proceedings of IEEE International

Conference on Soft Computing and Network Security.

[24] Rameshkumar, T., Rajendran, I., & Latha, A. D. (2010). Investigation on the mechanical and tribological

properties of aluminium-tin-based plain bearing material. Tribology in industry, 32(2), 3-10.

[25] E. Latha Mercy, R. Karthick, and S. Arumugam (2010). Fuzzy Controlled Shunt Active Power Filter for

Power Quality Improvement. International Journal of Soft Computing, 5(2), 35-41.

[26] Sivasankaran, S., Sivakumar, V., & Prakash, P. (2010). Numerical study on mixed convection in a lid-driven

cavity with non-uniform heating on both sidewalls. International journal of heat and mass transfer, 53(19-

20), 4304-4315.

[27] Kavitha, S., Karthikeyan, S., & Duraiswamy, K. (2010, July). Early detection of glaucoma in retinal images

using cup to disc ratio. In 2010, the Second International conference on Computing, Communication and

Networking Technologies (pp. 1-5). IEEE.

[28] Sengottaiyan, N., Somasundaram, R., & Arumugam, S. (2010, October). A modified approach for measuring

TCP performance in a wireless adhoc network. In 2010 International Conference on Advances in Recent

Technologies in Communication and Computing (pp. 267-270). IEEE.

[29] Ravi, S., & Balakrishnan, P. A. (2010, October). Modelling and control of an anfis temperature controller for

plastic extrusion process. In International Conference on Communication Control and Computing

Technologies (pp. 314-320). IEEE.

[30] Senthilkumar, J., Chandrasekaran, M., Suresh, Y., Arumugam, S., & Mohanraj, V. (2011). Advertisement

timeout-driven bee's mating approach to maintain fair energy levels in sensor networks. Applied Soft

Computing, 11(5), 4029-4035.

[31] Peter, K. J., Glory, G. G. S., Arguman, S., Nagarajan, G., Devi, V. S., & Kanan, K. S. (2011, April).

Improving ATM security via face recognition. In 3rd International Conference on Electronics Computer

Technology (Vol. 6, pp. 373-376). IEEE.

[32] Samikannu, R., & Poonamallie, B. A. (2011). Design of synthetic optimizing neuro fuzzy temperature

controller for dual screw profile plastic extruder using LabView. Journal of Computer Science, 7(5), 671-677.

[33] Kavitha, S., & Duraiswamy, K. (2011). Adaptive neuro-fuzzy inference system approach for the automatic

screening of diabetic retinopathy in fundus images.

[34] Ravi, S., Sudha, M., & Balakrishnan, P. A. (2011). Design of intelligent self-tuning GA ANFIS temperature

controller for plastic extrusion system. Modelling and Simulation in Engineering, 2011.

[35] AntoBennet, M. JacobRaglend. (2012), ‘A Novel Method Of Reduction Of Blocking Artifact Using Machine

Learning Metric Approach'. Journal of Applied Sciences Research, 8(5), 2429-2438.

[36] Senthilkumar, J., Chandrasekaran, M., Suresh, Y., Arumugam, S., & Mohanraj, V. (2011). Advertisement

timeout-driven bee's mating approach to maintain fair energy levels in sensor networks. Applied Soft

Computing, 11(5), 4029-4035.

[37] Karthikeswaran, D., Sudha, V. M., Suresh, V. M., & Sultan, A. J. (2012, March). A pattern-based

framework for privacy preservation through association rule mining. In IEEE-International Conference On

Advances in Engineering, Science, and Management (ICAESM-2012) (pp. 816-821). IEEE.

[38] Suresh, V. M., Karthikeswaran, D., Sudha, V. M., & Chandrasheker, D. M. (2012, March). Web server load

balancing using the SSL back-end forwarding method. In IEEE-International Conference On Advances In

Engineering, Science, and Management (ICAESM-2012) (pp. 822-827). IEEE.

[39] Bennet, M. A., & Ragglend, I. J. (2012). Performance, Analysis of Filtering Schedule Using Deblocking Filter

for the reduction of block artifacts from MPEQ compressed document images.

[40] Vijayakumar, J., & Arumugam, S. (2013, October). Certain investigations on foot rot disease for betelvine

plants using digital imaging techniques. In 2013 International Conference on Emerging Trends in

Communication, Control, Signal Processing, and Computing Applications (C2SPCA) (pp. 1-4). IEEE.

[41] Gnanasaravanan, S., & Rajkumar, P. (2013). Characterization of minerals in natural and manufactured sand

in the Cauvery River belt, Tamil Nadu, India. Infrared Physics & Technology, 58, 21-31.

[42] Kumar, T. S., & Sampath, V. R. (2013). Prediction of dimensional properties of weft knitted cardigan fabric

by artificial neural network systems. Journal of Industrial Textiles, 42(4), 446-458.

[43] AntoBennet M., Jacob Raglend I. (2013). Performance and analysis of compression artifact reduction for

Mpeq-2 moving pictures using TV regularization method. Life Science Journal, 10(2):102-110.

Downloads

Published

31.08.2019

How to Cite

Sudha, S., Nathiya, K., Thamilchelvam, N., & Jothibasu, L. (2019). An Empirical Study on the Powerloom Entrepreneurs Expectations towards the Enhancement of Business Ecosystem with Special Reference to Tamilnadu. International Journal of Psychosocial Rehabilitation, 23(3), 987-1001. https://doi.org/10.61841/yxqfen71