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Volume-2 Issue-9: Published on February 15, 2017
02
Volume-2 Issue-9: Published on February 15, 2017

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Volume-2 Issue-9, February 2017, ISSN: 2394-0913 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd.

Page No.

1.

Authors:

R. Sarumathi, Vidyadhar Reddy Aileni, Mohammed Abbas Ali

Paper Title:

Effects of Demographic Factors on Employee’s Quality of Work life in Pharmaceutical Industry – A study

Abstract: There are many factors to determine the employee’s quality of work life. Though, the demographic variables occupies wide place which means that there are lot of changes in between the employees groups when they are divided with demographic factors. For the study, two major demographic factors were selected to analyze i.e., employee’s age, and designation. The data was collected by proportionate sampling method by using close ended questionnaires with 4 point scale. The research problem was identified as whether the selected demographic factors are influencing the quality of work life or not. To solve the problem, an ANOVA analysis was done to find out the changes on the responses between employee groups based on the employee’s age and designation. Then, found that there is a significant difference is observed on their responses about the QWL factors adequate and fair compensation, availability of resources, opportunity for carrier growth, job security, working time, work and life balance and work itself and also found that there is no significant difference was observed between the employee groups on  health and safety working conditions.

Keywords:
 Quality of work life, Age, Designation, Pharmaceutical industry, Health and safety, Fair compensation.


References:

1.       Barkha Gupta, An Empirical Study of Impact of Demographic Variables on Quality of Work Life among Insurance Sector Employees in Indore Division, Pacific Business Review International, Volume 8, Issue 1, July 2015,
2.       Chandranshu S, (2012) “Factors affecting quality of work-life Empirical Evidence From Indian Organization”  Australian Journal of Business and Management Research, Volume:1; No.11; 31-40.

3.       D.elamparuthi&s.jambulingam, Relationship between demographic variables and quality of work life, professionals in information technology Chennai, Innovative Journal of Business and Management 4: 2 March – April (2015)42 – 44.

4.       EbeleAnyaoku (2016), Demographic Determinants of Quality of Work  Life of Librarians Working in Nigeria, Cloud Publications International Journal of Advanced Library and Information Science 2016, Volume 4, Issue 1, pp. 312-323, Article ID Sci-415 ISSN 2348–5167.

5.       Hackman JR, Oldham RG, (1980) “Work Re-desig” Addison-Wesley, Readings, MA.

6.       Jain Bindu and Swami Yashika , Quality of Work Life with Special Reference to Academic Sector, Research Journal of Management Sciences, Vol. 3(1), 14-17, January (2014) Res. J. Management Sci. ISSN 2319–1171.

7.       M Aarthy, & M Nandhini, Influence of the Demographic Factors on Quality of Work Life of the Engineering College Faculty Members in Coimbatore District, International Journal of Commerce and Management Research , Volume 2; Issue 10; October 2016; Page No. 28-31 .

8.       Md. ZohurulIslam, and SununtaSiengthai. Quality of work life and organizational performance: Empirical evidence from Dhaka Export Processing Zone.The paper presented in the Conference on ‘Regulating for Decent Work, has been held at the International Labour Office, Geneva during July 8-10, 2009.

9.       NaslSaraji G, Dargahi H, (2006) “Study of Quality of Work Life (QWL), Dept of Health CareManagement, School of Allied Medicine, Tehran University of Medical Sciences”, Iran. Iranian J Publ Health, Volume: 35; No. 4; 8-14.

10.    R.Sivarethinamohan, Effect of Quality of Work Life on Employee Retention in Private Sector Banks,   International Center for Business Research Issue: Volume 2 – Apr 2013.

11.    Seyed Mehdi Hosseini, GholamrezaMehdizadehJorjatki (2010) “Quality of work life (QWL) and Its relationship with performance”, University Of FirouzkouhBranch,Tehran.

12.    Sirgy, M.J., Efraty, D., Siegel, P. And Lee, D.J. (2001), A New Measure of Quality of Work Life (QWL) Based on Need Satisfaction and Spillover Theories, Social Indicators Research, Vol. 55, No. 3, pp 241-302.

13.    Zohouri, G., Rezaei, S., Jorfi, S., 2007. Effectiveness of cooperative management on job satisfaction of Agriculture bank staffs. Journal of Knowledge Management 21 (8), 61–76 (Persian).

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2.

Authors:

Rashid Jan, Yanni Xiao

Paper Title:

Frictional Order Host-Vector Model for Transmission of Dengue Fever

Abstract:  Main purpose of this paper is to formulate an epidemiological model for dengues fever transmission using fractional order derivatives. Due to memory effect property, fractional order derivative has a benefit over the classical integer order models. This model for transmission of dengue fever of the non-integer order initial value problem will be based on the well-known fractional order Caputo derivative. Here our focus is on the existence of non-negative solutions of the frictional order dengue fever transmission model, furthermore, equilibria of the model and local asymptotic stability of model equilibria is investigated. In the end fractional order transmission model for dengue fever without immunity is presented.

Keywords:
Dengue fever, Caputo derivative, Existence of positive solution, Model equilibria, Asymptotic stability.


References:

1.       Xue Y, Yuan X, Liu M. Global stability of a multi-group SEI model, Applied Mathematics and Computation. 2014;226:51-60.
2.      Magal P, Ruan S.  Susceptible-infectious-recovered models revisited:  From the individual level to the population level. Mathematical , Mathematical Biosciences. 2014;250:26-40.

3.       Hethcote HW, van den Driessche.  Two SIS epidemiologic models with delays,  J. Math. Biol. 2000;40:3-26.

4.       J. Dushoff J, Huang W, Castillo-Chavez C.   Backwards bifurcations and catastrophe in simple models of fatal diseases, Journal of Mathematical Biology. 1998;36:227-248.

5.       Castillo-Chavez C, Thieme HR. Asymptotically autonomous epidemic models, Mathemat- ical Population Dynamics: Analysis of Heterogeneity. 1995;1:33-50.

6.       Chitnis N, Cushing JM, Hyman JM.   Bifurcation analysis of a mathematical model for malaria transmission, SIAM Journal on Applied Mathematics. 2006;67:24-45.

7.       Okosun KO, Makinde OD. Optimal control analysis of malaria in the presence of non-linear incidence rate, Appl. Comput. Math. 2013;12:20-32.

8.       Koella JC, Anita R.   Epidemiological models for the spread of anti-malarial resistance, Malaria Journal. 2003;2:3.

9.       Mukandavire Z, Gumel AB, Garira W, Tchuenche JM. Mathematical analysis of a model for HIV-malaria co infection, Math Biosci Eng. 2009;6:333-362.

10.    Brauer F, Sanchez DA. Constant rate population harvesting: Equilibrium and stability, Theoretical Population Biology. 1975;8(1):12-30.

11.    Feng Z, Velasco-Hernandez JX. Competitive exclusion in a vector-host model for the dengue fever, Journal of Mathematical Biology. 1997;35(5):523-544.

12.    Hethcote HW. Note on determining the limiting susceptible population in an epidemic model., Mathematical Biosciences. 1970;9:161163.

13.  Ngwa GA, Shu WS. A. A mathematical model for endemic malaria with variable human and  mosquito  populations,   Mathematical  and  Computer  Modelling.  2000;32(7-8):747-763.

14.    Hethcote HW. Qualitative analyses of communicable disease models, Mathematical  Bio- sciences.  1976;28(3-4):335-356.

15.    Ahmed A, El-Sayed AMA, El-Saka HA. Equilibrium points, stability and numerical solu- tions of fractional-order predator-prey and rabies models, Journal of Mathematical Analysis and Applications. 2007;325:542-553.

16.    Arafa AAM, Rida SZ, Khalil M. Solution of fractional order model of childhood diseases with constant vaccination strategy,  Mathematical Sciences Letters. 2012;1:17-23.

17.    Javidi M, Ahmad B.   A study of fractional-order cholera mode,   Appl:  Math. Inf. Sci. 2014; 8:2195-2206.

18.    Rocco A, West BJ. Fractional calculus and the evolution of fractional phenomena, Physica A: Statistical Mechanics and Its Applications. 1999;265(3-4):535-546..

19.    Ding Y, Ye H. A fractional-order di erential equation model of HIV infection of CD4+T- cells,  Mathematical  and  Computer  Modelling.  2009;50(3-4):386-392.  .

20.    Ahmed E, El-Saka HA. On fractional order models for hepatitis C, Nonlinear Biomedical Physics. 2010;4:1-3.

21.    Pinto CMA, Machado JAT. Fractional model for malaria transmission under control strate- gies, Computers and Mathematics with Applications. 2013;66(5):908-916.

22.    Liu Y, Lu P, Szanton I. Numerical analysis for a fractional di erential time-delay model of HIV infection of CD4 + T-cell proliferation under antiretroviral therapy, Abstract and Applied Analysis. 2014;Vol. 2014, Article ID 291614, 13 pages, doi:10.1155/2014/291614.

23.    Ye H, Ding Y. Nonlinear dynamics and chaos in a fractional-order HIV model, Mathematical Problems in Engineering. 2009; vol. 2009, Article ID 378614, 12 pages. doi:10.1155/2009/378614.

24.    Gokdogan A, Yildirim A. Merdan M. Solving a fractional order model of HIV infection of CD4+T cells, Mathematical and Computer Modelling. 2011;54:21322138.

25.    El-Saka HAA. Backward bifurcations in fractional-order vaccination model, Journal of the Egyptian Mathematical Society. 2015;23(1):49-55.

26.    Petras I. Fractional-order nonlinear systems: Modeling, analysis and simulation, Springer- Verlag; 2011.

27.    Petras I, Magin IR. Simulation of drug uptake in a two compartmental fractional model for a biological system, Commun Nonlinear Sci Numer Simul. 2011;16(12):4588-4595.

28.    Podlubny I. Fractional differential equations, Academic Press, New York; 1999.

29.    Esteva L and Vargas C. Analysis of a Dengue Fever Transmission Model, Journal of Bioscience 150(1998), 131-151.

30.    Odibat ZM, Shawagfeh NT. Generalized Taylor’s formula, Applied Mathematics and Com- putation. 2007;186(1):286-293.

31.    Lin W. Global existence theory and chaos control of fractional di erential equations, Journal of Mathematical Analysis and Applications. 2007;332(1):709-726.

32.    Diethelm K. A fractional calculus based model for the simulation of an outbreak of dengue fever, Nonlinear Dynamics. 2013;71(4):613-619.


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3.

Authors:

Haiyan KANG, Yanfang LI, Qianqian JIA

Paper Title:

College Teachers' Morality Problems and Countermeasures

Abstract:   Strengthening professional ethics of college teachers is becoming to the key factor of improving college teachers’ professional ethics and building a batch of college teachers. This paper is briefly to study some problems on college teachers’ professional ethics. Firstly, it introduces the present situation and main problems of college teachers' morality construction. Secondly, it analyzes the main causes of the problems of college teachers' morality construction. Finally, it proposes some countermeasures and suggestions. In short, it will promote the construction of teachers' morality that through strengthening the construction of the system, perfecting the supervision system, and exploring the scientific method.

Keywords:
 College teachers' morality construction, problems, causes, measures


References:

1.       Xi Jinping's speech on the discussion with the teachers and students of Beijing Normal University [EB/ OL]. http://politics.people.com.cn/n/2014/0910/c70731-25629093-2.html
2.       Wang Wentao. Study on Moral Construction of Higher Education Teachers in Harmonic Society [D]. Harbin University of science and technology, 2014.

3.       Liao Liang. Research on the Situation and Construction of Morality of young university teachers [D]. Central China Normal University, 2014.

4.       Zhang Yan. Research on the Ideological and Political Education for College Teachers [D]. Southwestern University, 2013.

5.       Zou Limei. Research on the Establishment of Incorruptible Culture Construction Evaluation Indexes System in Universities [D]. Northeast Forestry University, 2012.

6.       Zhao Jun. The Research on the Clear Culture Construction in Universities Based on Academic Power Regulation [D]. Southwestern University, 2015.

7.       Zhou Shiqiong, Yuan Jixuan, Tang Jun. On the Importance of Teacher's Professional Ethics in Colleges and Universities [A]. Department of economics and trade Nanchang Institute of Technology. 2012 The Conference on Management Innovation, Intelligent Technology and Economic Development[C]. Department of economics and trade Nanchang Institute of Technology, 2012:4.

8.       He Xianglin, Cheng Gongqun, Ren Youzhou, Yuan Benfang. The Present SituationProblems and Countermeasures of the Teacher Morality Construction in Universities——An Investigation based on H University in Hubei Province[J]. Higher Education Research, 2014, 11:53-59.

9.       Zheng Weijing. Current Research on Teachers' Morality Construction in Colleges and Universities in China [D]. Southwestern University of Finance and Economics, 2012.

10.    Hao Zhaohui. A Study on the Conflicts and Adaptation between University Teachers and Students in the Social Transition Period [D]. Central China Normal Unive, 2013.


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4.

Authors:

R. K. Sudhamathi

Paper Title:

Index Funds: An Emerging Mutual Fund Investment Scheme

Abstract: Financial market is back bone of any economy.  Innovation in financial instruments has given rise to mutual funds.  Mutual funds are novel financial service which emerged in India during the year 1964.  As mutual funds are professionally managed it is expected to give good return and also gives advantage of liquidity and diversification.  Indian mutual fund industry has undergone a radical change and has grown by leaps and bounds in terms of products and asset under management.  Right now Indian mutual industry is managing Rs. 16.5 Lakh Crore of funds.  It has introduced many products such as income funds, equity funds, balanced funds, money market funds, fund of funds and many others.  Out of these funds equity funds constitutes a major proportion.  Equity funds are of many types such as sectoral funds, index funds, Equity Linked tax saving schemes, diversified funds etc.  Out of these funds index funds is one of the recent origin which offers the primary advantage of earning the return equal to stock market. Index funds will follow a passive investment strategy where investment under these funds will replicate the movements of benchmark indices like Nifty, Sensex etc.  Index funds are of wide range offered by many asset management companies.   Identifying right schemes will benefit the investor by providing superior return.  Thus in this study an attempt is made to analyse the performance of index mutual fund schemes listed in National Stock exchange.  The study has taken 3 years data pertained to index mutual fund schemes to understand about its performance, risk etc.  According to present study out of 13 mutual fund schemes 7 have returns higher than the nifty index.  The study result based on three years data show the top three funds are  HDFC Index Fund Nifty Plan, IDFC Nifty Fund Growth and UTI Nifty Index Fund – Growth. The bottom three funds are SBI Nifty Index, LIC Index Fund- Nifty- Growth, and IDBI Nifty Index Fund.

Keywords:
Mutual Funds, Index funds, Net Asset Value, Tracking error


References:

1.       Khatri, D. K. (2008). Investment management and security analysis, Chennai, Macmillan India Ltd.
2.       Punithavathy Pandian, (2013). Security Analysis and Portfolio Management, New Delhi, Vikas Publishing House Pvt. Ltd.

3.       Musah, A., Senyo, D & Nuhu, E. (2014). Market timing and selectivity performance of mutual funds in Ghana. Management Science Letters , 4(7), 1361-1368.

4.       Santhi, N S; Gurunathan, K Balanaga. “ An Analysis of Risk-Adjusted Return on Tax-Saving Mutual Fund Schemes in India IUP Journal of Financial Risk Management 9.3  (Sep 2012): 54-71.

5.       Venkataraman, R. and Tilak Venkatesan “ Evaluation of Growth of Mutual Funds and Exchange Traded Funds in India”. SDMIMD Journal of Management , 0976-0652

6.       https://www.iiflmf.com/KnowledgeCenter/AboutMutualFunds.aspx

7.       http://portal.amfiindia.com/spages/amjul2016repo.pdf

8.       http://portal.amfiindia.com/spages/aqu-vol16-issueI.pdf

9.       http://www.moneycontrol.com

10.    https://www.nseindia.com


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5.

Authors:

Savitha Nair

Paper Title:

Facilitators and Barriers to Innovation Adoption: An Investigation

Abstract:  Innovation is at the heart of competitive advantage of organizations.  Firms, irrespective of their sizes, need to engage in continuous innovations to survive and succeed in the market place. This research measured the impact of pre- innovation adoption variables on the innovation adoption of the firms. The study was conducted at the knitwear manufacturing cluster of Tirupur district that operate in a highly competitive hosiery market. The final results indicated that the facilitators have positive influence on innovation adoption, while barriers negatively influence innovation adoption. The research establishes the need for a strong innovation climate within organizations, facilitated by leadership, which will drive innovations significantly.

Keywords:
 Innovation adoption, Facilitators, Barriers, SMEs, Knitwear cluster


References:

1.       Alwis, R. S.-d., Hartmann, E., & Gemünden, H. G. (2004). The role of tacit knowledge in innovation management. 20th Annual IMP Conference in Copenhagen, (pp. 1-23). Copenhagen.
2.       Baldwin, J., & Lin, Z. (2002). Impediments to Advanced Technology Adoption for Canadian Manufacturers. Research Policy , 31, 1-18.

3.       Cooper, J. R. (1998). A multidimensional approach to the adoption of innovation. Management Decision , 36 (8), 493-502.

4.       Damanpour, F., & Gopalakrishnan, S. (2001). Dynamics of the adoption of product and    process innovations in organizations. Journal of Management Studies , 38 (1), 45-65.

5.       Dutta, S. (2011). The Global Innovation Index 2011: Accelerating growth and development. INSEAD.

6.       Galia, F., Mancini, S., & Morandi, V. (2012). Obstacles to innovation: What hampers innoation in France and Italy. DRUID . Denmark: DRUID Society.

7.       Gilbert, R. J., & Weinschel, A. (2005). Competition Policy for Intellectual Property: Balancing Competition and Reward. University of California. Gumusluoglu, L., & Ilsev, A. (2009). Transformational leadership, creativity, and organizational innovation. Journal of Business Research , 62, 461-473.

8.       Hadjimanolis, A. (2000). An investigation of innovation antecedents in small firms in the context of a small developing country. R & D Management , 30 (3), 235-245.

9.       Hage, J., & Aiken, M. (1967). Program change and organizational properties. A comparative analysis. American Journal of Sociology , 73, 503-519.

10.    Jung, D. I., Chow, C., & Wu, A. (2004). The role of transformational leadership in enhancing organizatioanl innovation: Hypotheses and some preliminary findings. CIBER Working Paper Series , 1-33.

11.    Liu, C.-C. (2005). An empirical study on the construction of a model for measuring organizatioanl innovation in Taiwanese high-tech industires. Internatioanl Journal of Innovation Management , 9 (2), 241-257.

12.    Lynch, L. M. (2007). he adoption and diffusion of organizational innovtion: Evidences from the U.S economy. NBER Working Paper No.13156 , 1-53.

13.    Nelliyat, P. (2007). Industrial Growth and Environmental Degradation: A case study of Tirupur Knitwear Cluster. Chennai: Madras School of Economics.

14.    Nybakk, E., Crespell, P., & Hansen, E. (2011). Climate for Innovation and Innovation Strategy as Drivers for Success in the Wood Industry: Moderation Effects of Firm Size, Industry Sector, and Country of Operation. Silva Fennica , 45 (3), 415-430.

15.    OECD. (2005). OSLO Manual; Guidelines for collecting and interpreting innovation data: Third Edition. Paris: OECD; Eurostat.

16.    Panne, G. v., Beers, C. v., & Kleinknecht, A. (2003). Success and Failure of Innovation: A Literature Review. International Journal of Innovation Management , 7 (3), 1-30.

17.    Read, A. (2000). Determinants of successful organizational innovation: A review of current research. Journal of Management Practice , 3 (1), 95-119.

18.    Rogers. (1971). Communication of Innovations. New York: Free Press.

19.    Rogers, E. M. (2003). Diffusion of innovations. New York: Free Press.

20.    Rogers, M. (1998). The definition and measurement of innovation. Melbourne Institute of Applied Ecconomic and Social Research.

21.    Rosenberg, N. (2004). Innovation and Economic Growth. OECD .

22.    Sachitanand, N. N. (2007). Empowering through cluster development. Retrieved December 10, 2010, from www.ibef.in: www.ibef.in/download/trends_smes.pdf

23.    Setyawati, S. M., Shariff, M. N., & Saud, M. B. (2011). Effects of Learning, Networking and Innovation Adoption on Successful Entrepreneurs in Central Java, Indonesia. International Journal of Business and Social Science , 149-156.

24.    Tiwari, R., & Buse, S. (2007). Barriers to Innovation in SMEs: Can the Internationalization of R&D Mitigate Their Effects? First European Conference on Knowledge for Growth: Role and Dynamics of Corporate R&D (CONCORD 2007). Spain.

25.    Yahya, A. Z., Othman, M. S., Othman, A. S., Rahman, I. A., & Moen, J. A. (2011). Process Innovation: A study of Malaysian Small Medium Enterprises (SMEs). World Journal of Management , 3 (1), 146-156.


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