Journal Vol – 14 No -5, October 2019

Abstract:

Human resources are the most precious asset of society and any civil engineering and construction firms. Experience shows that successful construction companies always focus on recruitment and human resources training. Thus, ranking main factors in measuring the performance of construction engineers is one of the most critical determinations in the success of civil engineering and construction projects. However, traditional methods of evaluating key factors performance of construction engineers are usually based on subjective opinions, resulting in irrational and inappropriate outcomes. Therefore, this paper presents a fuzzy model for ranking critical factors in measuring the performance of construction engineers. The results show that there are five essential factors in measuring the performance of construction engineers in Vietnam: (1) Ability to perform work in accordance with project procedures and accept overtime work; (2) Ability to improve knowledge and skills; and (3) Ability to meet and make a decision with the consensus of a project team; and (4) Ability to communicate exchange and persuade and build good relationships with project members; (5) Planning and scheduling ability.

Keywords:

Construction projects,civil engineers,fuzzy logic,Job performance,

Refference:

I. D. L. Luong, D.-H. Tran, and P. T. Nguyen, “Optimizing multi-mode timecost-
quality trade-off of construction project using opposition multiple
objective difference evolution,” International Journal of Construction
Management, pp. 01-13, 2018.
II. J. J. Buckley, “The fuzzy mathematics of finance,” Fuzzy Sets and Systems,
vol. 21, no. 3, pp. 257-273, 1987.
III. J. J. Buckley, “Fuzzy hierarchical analysis,” Fuzzy Sets and Systems, vol. 17,
no. 3, pp. 233-247, 1985.
IV. N. Hao, Y. Feng, K. Zhang, G. Tian, L. Zhang, and H. Jia, “Evaluation of
traffic congestion degree: An integrated approach,” International Journal of
Distributed Sensor Networks, vol. 13, no. 7, 2017.
V. N. T. Phong, V. N. Phuc, and T. T. H. L. N. Quyen, “Application of Fuzzy
Analytic Network Process and TOPSIS Method for Material Supplier
Selection,” Key Engineering Materials, vol. 728, pp. 411-415, 2017.
VI. P. T. Nguyen et al., “Construction Project Quality Management using Building
Information Modeling 360 Field,” International Journal of Advanced
Computer Science and Applications, vol. 9, no. 10, pp. 228-233, 2018.
VII. P. Van Nguyen, P. T. Nguyen, Q. L. H. Thuy, T. Nguyen, and V. D. B. Huynh,
“Calculating Weights of Social Capital Index Using Analytic Hierarchy
Process,” International Journal of Economics and Financial Issues, vol. 6, no.
3, pp. 1189-1193, 2016.
VIII. T. A. Nguyen and P. T. Nguyen, “Explaining model for supervisor’s behavior
on safety action based on their perceptions,” ARPN Journal of Engineering and
Applied Sciences, Article vol. 10, no. 20, pp. 9562-9572, 2015.
IX. V. D. B. Huynh, P. V. Nguyen, Q. L. H. T. T. Nguyen, and P. T. Nguyen,
“Application of Fuzzy Analytical Hierarchy Process based on Geometric Mean
Method to Prioritize Social Capital Network Indicators,” International Journal
of Advanced Computer Science and Applications, vol. 9, no. 12, pp. 182-186,
2018.

View Download

Abstract:

Project comes up with a lot of hurdles and unnecessary obstacles due to situational and appropriate eccentricity of engineering which usually left manager and engineers to take on these challenges with their exceptional managerial skills and to work effectively in the given scenarios. Engineering Project Health management (EPHM) is an important term for management engineers which is based on framework for observation of engineered program/structure with in context understanding. This paper presents a novel framework approach of integrated vehicle health management (IVHM) in engineering management. It is applied to four industrial cases through which mutual understanding of project activity is increased. The purpose of implementing IVHM protocol in management position is reduce the analytical efforts and to increase the reliability of project analysis.

Keywords:

Project Engineering,Engineering Management,integrated vehicle health management (IVHM),Project analysis,Reliability,

Refference:

I. A. I. Lavagnon, “Project success as a topic in project management journals,”
Project Manage. J., vol. 40, no. 4, pp. 6–19, 2009.
II. C. Chapman and S. Ward, Project Risk Management: Processes, Techniques
and Insights. Chichester, U.K.: Wiley, 1996.
III. C. Earl, C. Eckert, and J. Clarkson, “Design change and complexity,” in
Proc. 2nd Workshop Complexity Des. Eng., 2005, pp. 24–33.
IV. E. Baroth et al., “IVHM (Integrated vehicle health management) techniques
for future space vehicles,” in Proc. 37th Joint Propulsion Conf.
Exhibit, 2001, pp. 1–10.
V. I. Egan, J. M. Ritchie, and P. D. Gardiner, “Measuring performance
change in the mechanical design process arena,” Proc. Inst. Mech. Eng.
Part B, J. Eng. Manuf., vol. 219, no. 12, pp. 851–863, 2005.
VI. J. K. Pinto and S. J. Mantel, Jr., “The causes of project failure,” IEEE
Trans. Eng. Manage., vol. 37, no. 4, pp. 269–276, Nov. 1990.
VII. J. Watson, “Joseph Black Lecture, Design Exhibition,” University of
Bath, 2012. [Online]. Available: https://wiki.bath.ac.uk/display/
MechEngDesignExhibition/Home

VIII. L. Wallace and M. Keil, “How software project risk affects project performance:
An investigation of the dimensions of risk and an exploratory
model,” Decis. Sci., vol. 35, no. 2, pp. 289–321, 2004.
IX. M. Engwall, “No project is an island: Linking projects to history and
context,” Res. Policy, vol. 32, no. 2003, pp. 789–808, 2002.
X. M. Cataldo and S. Nambiar, “The impact of geographic distribution and
the nature of technical coupling on the quality of global software
development projects,” J. Softw. Evol. Process, vol. 24, pp. 153–168,
2012.
XI. M. Hobday, “The project-based organisation: An ideal form for
managing complex products and systems?,” Res. Policy, vol. 29, no. 7–8,
pp. 871– 893, Aug. 2000.
XII. S. D. Eppinger and A. R. Chitkara, “The new practice of global prod- uct
development,” MIT Sloan Manage. Rev., vol. 47, no. 4, pp. 22–30, 2006.
XIII. S. Floricel and R. Miller, “Strategizing for anticipated risks and
turbulence in large-scale engineering projects,” Int. J. Project Manage.,
vol. 19, no. 8, pp. 445–455, Nov. 2001.
XIV. W. Al-Ahmad, K. Al-Fagih, K. Khanfar, K. Alsamara, S. Abuleil, and H.
Abu-Salem, “A taxonomy of an IT project failure: Root causes,” Int.
Manage. Rev., vol. 5, no. 1, pp. 93–104, 2009.
XV. S.-R. Toor and S. O. Ogunlana, “Beyond the ‘iron triangle’: Stakeholder
perception of key performance indicators (KPIs) for large-scale public
sector development projects,” Int. J. Project Manage., vol. 28, no. 3, pp.
228–236, Apr. 2010.

View Download

Abstract:

Product accessibility is a serious feature of client package for sellers and industrialists. While product being out of stock (OOS), both sellers and manufacturers may agonize relying on demand-side features, such as whether customers are extra dependable to the store. Though together sellers and producers contribute to OOS conditions, the supply-side features, like whether seller or producer is accountable for in-store contentment might effect OOS situation. Direct store delivery (DSD) includes the producer sidestepping the seller’s delivery center and transporting product straight to the seller’s distinct warehouses. This article presents the Supply and Demand (SAD) concerns concurrently to define the insinuations of stock outs for both sellers and producers using an agent-based simulation. An agent-based simulation permits reflection of such concerns under recurring OOS circumstances to define the general and complete effect to seller and producer performance.

Keywords:

Supply and Demand,Producers,Agent based simulation,product reliability,Out of Stock (OOS),

Refference:

I. A. Musalem, M. Olivares, E. T. Bradlow, C. Terwiesch, and D. Corsten,
“Structural estimates of the effect of out-of-stocks,” Manage. Sci., vol. 56,
no. 7, pp. 1180–1197, 2010.
II. A. Bonfrer and P. K. Chintagunta, “Store brands: Who buys them and
what happens to retail prices when they are introduced?,” Review Ind.
Org., vol. 24, no. 2, pp. 195–218, 2004.
III. D. Papakiriakopoulos and G. Doukidis, “Classification performance of
making decisions about products missing from the shelf,” Adv. Decis.
Sci., pp. 1–13, 2011, Art.ID 515978.
IV. E. T. Anderson, G. J. Fitzsimons, and D. Simester, D, “Measuring and
mitigating the costs of stockouts,” Manage. Sci., vol. 52, no. 11, pp. 1751–
1763, 2006.
V. ECR Europe and RolandBerger Strategy Consultants. ECR— Optimal
Shelf Availability: Increasing Shopper Satisfaction at the Moment
of Truth. ECR Europe, 2003. [Online]. Avail- able: http://ecrall.
org/files/pub_2003_osa_blue_book.pdf. Accessed on: Jun. 30, 2014.
VI. GMA Direct Store Delivery Committee, AMR Research, and Clark- ston
Consulting. Powering Growth Through Direct Store Delivery (Ver- sion
1.1), Grocery Manufacturers of America, Washington, DC, USA, 2008.
VII. GMA Direct Store Delivery Committee and Willard Bishop. Optimiz- ing
the Value of Integrated DSD, Grocery Manufacturers of America,
Washington, DC, USA, 2011.
VIII. J. Aastrup and H. Kotzab, “Analyzing out-of-stock in independent grocery
stores: An empirical study,” Int. J. Retail Distrib. Manage., vol. 37, no. 3,
pp. 765–789, 2009.
IX. J. Aastrup and H. Kotzab, “Forty years of out-of-stock research – and
shelves are still empty,” Int. Rev. Retail, Distrib. Consumer Res., vol. 20,
no. 1, pp. 147–164, 2010
X. K. Campos, E. Gijsbrechts, and P. Nisol, “The impact of retailer stockouts
on whether, how much, and what to buy,” Int. J. Res. Marketing, vol. 20,
no. 3, pp. 273–286, 2003.
XI. K. Xu, R. Yin, and Y. Dong, “Stockout recovery under consignment: The
role of inventory ownership in supply chains,” Decis., Sci., vol. 47, no. 1,
pp. 94–124, 2016.
XII. R. C. Basole and M. A. Bellamy, “Supply network structure, visibility,
and risk diffusion: A computational approach,” Decis. Sci. J., vol. 45, no.
4, pp. 753–789, 2014.
XIII. T. W. Gruen, D. S. Corsten, and S. Bharadwaj, Retail Out-of-Stocks: A
Worldwide Examination of Extent, Causes, and Consumer Responses,
Grocery Manufacturers of America: Washington, DC, USA, 2002.
XIV. T. Wu, S. Huang, J. Blackhurst, X. Zhang, and S. Wang, “Supply chain
risk management: An agent-based simulation to study the impact of retail
stockouts,” IEEE Trans. Eng. Manage., vol. 60, no. 4, pp. 676–686, Nov.
2013.

View Download

Abstract:

Direct torque control (DTC) of Induction Motor (IM) is primal requirement in traction and vehicle applications which has been employed for fast torque response in dynamic performance of IM drives. DTC decouple flux and torque control there for to achieve fast torque response, optimal inverter voltage selection is taken. In this paper, DTC method is employed for fast torque response utilizing PI-controller based on the voltage vector selection for inverter. Moreover, performance of IM is evaluated in term of torque response, speed response, stator current, rotor and stator flux in both time and d-q flux. Analysis reveals that PI-controller response fairly match the reference torque curve faster there for considered as best choice for DTC of IM.

Keywords:

Direct torque control,Induction Motor,PI-Controller,Electric drive,

Refference:

I. Achalhi, D. Ouoba, M. Bezza, N. Belbounaguia and F. Dkhichi,
“Application of direct torque control of induction motor in a
photovoltaic water pumping system,” 2015 3rd International Renewable
and Sustainable Energy Conference (IRSEC), Marrakech, 2015, pp. 1-5.
II. FatihaZidani, RachidNait said, “Direct Torque Control of Induction
Motor with Fuzzy Minimization Torque Ripple”, Journal of Electrical
Engineering.,vol 56(7-8): pp. 183-188. 2005.
III. K. L. Butler, M. Ehsani, P. Kamath, “A Matlab-based modeling and
simulation package for electric and hybrid electric vehicle design”, IEEE
Trans. Vehicular Technol., vol. 48, no. 6, pp. 1770-1118, Nov. 1999.
IV. Kazmierkowski M P and Giuseppe Buja, “Review of Direct Torque
Control Methods for Voltage Source Inverter-Fed Induction Motors”,
Conf. Rec. IEEE-IAS. pp. 981-991, 2003
V. Kang Jun-Koo, Chung Dae-Woong and Seung-Ki Sul, “Direct Torque
Control of Induction Machine with Variable Amplitude Control of Flux
and Torque Hysteresis Bands”, Conf. Rec. IEEE-IAS.pp. 640-642, 1999.
VI. Malik E. Elbuluk, “Torque Ripple Minimization in Direct Torque
Control of Induction Machines”, IEEE-IAS annual meeting, 1: 12-16,
2003.
VII. Muhammad Aamir Aman, 2Hamza Umar Afridi, 3Muhammad
ZulqarnainAbbasi, 4Akhtar Khan, 5Muhammad Salman. Power
Generation from Piezoelectric Footstep Technique 1,2,3,4,5 Department
of Electrical Engineering, Iqra National University, Pakistan Email:
aamiraman@inu.edu.pk *Corresponding author: Muhammad Aamir
Aman, E-mail: aamiraman@inu.edu.pkJ.Mech.Cont.& Math. Sci., Vol.-
13, No.-4, September-October (2018) Pages 67-72 67

VIII. Muhammad Aamir Aman, 2Muhammad ZulqarnainAbbasi, 3Akhtar
Khan, 4Waleed Jan, 5Mehr-e-Munir Power Generator Automation,
Monitoring and Protection System 1,2,3,4,5Department of Electrical
Engineering, Iqra National University, Pakistan
Email:mehre.munir@inu.edu.pk *Corresponding author: Mehr-e-Munir,
E-mail: mehre.munir@inu.edu.pk J.Mech.Cont.& Math. Sci., Vol.-13,
No.-4, September-October (2018) Pages 122-133
IX. Muhammad Aamir Aman, 2Muhammad ZulqarnainAbbasi, 3Hamza
Umar Afridi, 4Khushal Muhammad, 5Mehr-e-Munir Prevailing
Pakistan’s Energy Crises.1,2,3,4,5 Department of Electrical Engineering,
Iqra National University, Pakistan Email: aamiraman@inu.edu.pk
*Corresponding author: Muhammad Aamir Aman, E-mail:
aamiraman@inu.edu.pkJ.Mech.Cont.& Math. Sci., Vol.-13, No.-4,
September-October (2018) Pages 147-154
X. Muhammad Aamir Aman, 2Muhammad ZulqarnainAbbasi, 3Murad Ali,
4Akhtar Khan.To Negate the influences of Un-deterministic Dispersed
Generation on Interconnection to the Distributed System considering
Power Losses of the system 1 Department of Electrical Engineering,
Iqra National University, Pakistan Email : aamiraman@inu.edu.pk
*Corresponding author: Muhammad Aamir Aman, E-mail:
aamiraman@inu.edu.pkJ.Mech.Cont.& Math. Sci., Vol.-13, No.-3, July-
August (2018) Pages 117-132
XI. Muhammad Aamir Aman1, Ali Shahab2, Fazl e Jamil3, Muhammad
Nauman Naeem4, Mehre Munir5 Intelligent Home Automation System
Using BitVoicer Department of Electrical Engineering, Iqra National
University, Pakistan. Email: aamiraman@inu.edu.pk *Corresponding
author: Muhammad Aamir Aman, E-mail:
aamiraman@inu.edu.pkJ.Mech.Cont.& Math. Sci., Vol.-14, No.-4, July-
August (2019)
XII. Pengcheng Zhu, Yong Kang and Jian Chen, “Improve Direct Torque
Control Performance of Induction Motor with Duty Ratio Modulation”,
Conf. Rec. IEEE-IEMDC, 03. 1: 994-998, 2003.
XIII. T. Ramesh and A. K. Panda, “Direct flux and torque control of three
phase induction motor drive using PI and fuzzy logic controllers for
speed regulator and low torque ripple,” 2012 Students Conference on
Engineering and Systems, Allahabad, Uttar Pradesh, 2012, pp. 1-6.
XIV. Vaez-Zadeh S and G.H. Mazarei, “Open Loop Control of Hysteresis
Band Amplitudes in Direct Torque Control of Induction Machines”,
Conf. Rec. IEEE-IAS. pp. 1519-1524, 2000.
XV. Y. Srinivasa Kishore Babu, G. Tulasi Ram Das, “Improvement in Direct
Torque Control of Induction Motor using Fuzzy Logic duty ratio
controller”, ARPN Journal of Engineering and Applied Sciences, vol. 5,
no. 4, April 2010

View Download

Abstract:

Non-Banking Finance Companies (NBFCs) are playing a key role in providing financial support to the unsupported and secure the unsecured population. The broad objective of the paper is to study how NBFCs can increase customer base and its retention. There are various variables investigated, which were anticipated to be the reasons for increase in customer base. These variables involved both employee and customer satisfaction. The data collected is both primary and secondary in nature. The variables investigated are Interest Rate, customer satisfaction over various parameters likeservice offered, interest rate, staff behavior, and documentation process. For employee satisfaction there were factors investigated like salary, incentives, working hours, flexibility with work and personal interest. Also, there were factors which were analyzed to know how customers can be increased and retained. Factors such as referral program for customers, maintain regular interaction with customers, provide benefits offered by other competitors and provide benefits to loyal customers. The study attempts to identify the relations between above factors and how we can increase customer base and retention thereafter.

Keywords:

NBFC,MSME,Customer engagement,customer loyalty,customer satisfaction,customer retention,

Refference:

I. Hymavathi, C.H., Koneru, K.(2018). Investors’ awareness towards commodities market
with reference to GUNTUR city, Andhra Pradesh.International Journal of Engineering
and Technology(UAE). 7(2), pp. 1104-1106.
II. Hymavathi, C.H., Koneru, K.(2019). Investors perception towards Indian commodity
market: An empirical analysis with reference to Amaravathi region of Andhra Pradesh.
International Journal of Innovative Technology and Exploring Engineering.8(7), pp.
1708-1714.
III. Hymavathi, C., Koneru, K. (2019). Role of perceived risk in mutual funds selection
behavior: An analysis among the selected mutual fund investors. International Journal of
Engineering and Advanced Technology.8(4), pp. 1913-1920.
IV. KishanVarma, M.S., Koneru, K., Yedukondalu, D.(2019). Affect of worksite wellness
interventions towards occupational stress. International Journal of Recent
Technology and Engineering.8(1), pp. 2874-2879.
V. Lakshmi Narahari, C., Koneru, K. (2018). Stress at work place and its impact on
employee performance. International Journal of Engineering and Technology(UAE).
7(2), pp. 1066-1071.
VI. Manukonda et al. (2019).What Motivates Students To Attend Guest Lectures?.The
International Journal of Learning in Higher Education.Volume 26, Issue 1. 23-34.
VII. Neelima, J., Koneru, K.(2019). Assessing the role of organizational culture in
determining the employee performance – empirical evidence from Indian pharmaceutical
sector.International Journal of Innovative Technology and Exploring Engineering. 8(7),
pp. 1701-1707.
VIII. Sivakoti Reddy, M. (2019).Impact of RSERVQUAL on customer satisfaction: A
comparative analysis between traditional and multi-channel retailing. International
Journal of Recent Technology and Engineering. 8(1), pp. 2917-2920.
IX. Sivakoti Reddy, M., Venkateswarlu, N.(2019). Customer relationship management
practices and their impact over customer purchase decisions: A study on the selected
private sector banks housing finance schemes. International Journal of Innovative
Technology and Exploring Engineering. 8(7), pp. 1720-1728.
X. Sivakoti Reddy, M., Murali Krishna, S.M.(2019). Influential role of retail service quality
in food and grocery retailing: A comparative study between traditional and multi-channel
retailing. International Journal of Management and Business Research. 9(2), pp. 68-73.
XI. Sivakoti Reddy, M., Naga Bhaskar, M., Nagabhushan, A. (2016).Saga of silicon plate:
An empirical analysis on the impact of socio economic factors of farmers on inception of solar plants.
International Journal of Control Theory and Applications. 9(29), pp. 257-
266.
XII. Suhasini, T., Koneru, K. (2019).Employee engagement through HRD practices on
employee satisfaction and employee loyalty: An empirical evidence from Indian IT
industry.
International Journal of Engineering and Advanced Technology.8(4), pp. 1788-1794.
XIII. Suhasini, T., Koneru, K. (2018).A study on employee engagement driving factors and
their impact over employee satisfaction – An empirical evidence from Indian it industry.
International Journal of Mechanical Engineering and Technology.9(4), pp. 725-732.
XIV. Y. V. Rao and SrinivasaRaoBudde.Banking Technology Innovations in India:
EnhancingCustomer Value and Satisfaction.Indian Journal of Science and Technology,
Vol 8(33), DOI: 10.17485/ijst/2015/v8i33/78280, December 2015.1-10.

View Download

Abstract:

Banking is a dynamic sector and, as such, high-quality client service is invaluable for clients to grow and retain.The purpose of the study is to examine the differences in complaint behaviour in context of service recovery failure (Double Deviation) and its effect on complaint behaviour. 114 respondents of sample were selected by random sampling technique to obtain responses in form of well designed questionnaire.Results revealed that new customers are involving more in private actions and defection than the loyal customers in context of double deviation and all the three dimensions magnitude of service failure, recovery strategies, and satisfaction with service recovery have an effect on complaint behaviour. Further this paper consists of implications and future scope for researchers.

Keywords:

Complaint Behaviour,Double Deviation,New and Loyal Customers,Banking Sector,

Refference:

I. Ana B. Casado-Díaz & Juan L. Nicolau-Gonzálbez (2009) Explaining
consumer complaining behaviour in double deviation scenarios: the
banking services, The Service Industries Journal, 29:12, 1659-1668,”
II. Awa, H. O., & Nwuche, C. A. (2010) Cognitive consistency in
purchase behaviour: Theoretical & empirical analyses. International
Journal of Psychological Studies, 2(1), 44-54.
http://dx.doi.org/10.5539/ijps.v2n1p44″
III. Bitner, M.J., Booms, B.H., & Tetreault, M.S. (1990) the service
encounter: Diagnosing favorable and unfavorable incidents. Journal of
Marketing, 54(January), 71–84.
IV. Bolton, R. N., & Bronkhorst, T. M. (1995) The relationship between
customer complaints to the firm and subsequent exit behavior.
Advances in Consumer Research, 22, 94-100.
V. Boutaibi, L. S. (2014). What determines consumers’ complaint
behavior after purchasing an inappropriate or defective financial retail
product? (Unpublished master thesis). Erasmus Universiteit Rotterdam,
Netherlands
VI. Broadbridge, A., & Marshall, J. (1995) Consumer complaint
behaviour: The case of electrical goods. International Journal of Retail
& Distribution Management, 23(9), 8-18.
http://dx.doi.org/10.1108/09590559510098663.

VII. Davidow, M. (2003) Organizational responses to customer complaints:
What works and whatdoesn’t. Journal of Service Research, 5(3), 225–
250.”
VIII. Ennew, C &Shoefer, K. (2004), Service Failure and Service Recovery
in Tourism: Areview, The Tourist: A Psychological Perspective, Raj.”
IX. Fisher, A. (2001), ‘‘Winning the battle for customers’’, Journal of
Financial Service Marketing,Vol. 6 No. 1, pp. 77-83.”
X. Hart, C.W.L., Heskett, J.L., &Sasser, W.E., Jr. (1990) the profitable art
of service recovery Harvard Business Review, 68(4), 148–157.”
XI. Hess, R.L., Jr., Ganesan, S., & Klein, N.M. (2003) Service failure and
recovery: The impact ofrelationship factors on customer satisfaction.
Journal of the Academy of Marketing Science,31(2), 127–145.”
XII. Hymavathi, C.H., Koneru, K.(2018). Investors’ awareness towards
commodities market with reference to GUNTUR city, Andhra Pradesh.
International Journal of Engineering and Technology(UAE). 7(2), pp.
1104-1106.
XIII. Hymavathi, C.H., Koneru, K.(2019). Investors perception towards
Indian commodity market: An empirical analysis with reference to
Amaravathi region of Andhra Pradesh. International Journal of
Innovative Technology and Exploring Engineering. 8(7), pp. 1708-
1714.
XIV. Hymavathi, C., Koneru, K. (2019). Role of perceived risk in mutual
funds selection behavior: An analysis among the selected mutual fund
investors. International Journal of Engineering and Advanced
Technology. 8(4), pp. 1913-1920.
XV. Johnston, R., & Fern, A. (1999) Service recovery strategies for single
and double deviation scenarios. The Service Industries Journal, 19(2),
69–82.
XVI. Kelley, S.W., & Davis, M.A. (1994) Antecedents of customer
expectations for service recovery. Journal of the Academy of
Marketing Science, 22(1), 52–61.
XVII. KishanVarma, M.S., Koneru, K., Yedukondalu, D.(2019). Affect of
worksite wellness interventions towards occupational stress.
International Journal of Recent Technology and Engineering. 8(1), pp.
2874-2879.

XVIII. Kruger, L., & Mostert, P. G. (2014) The influence of relationship
intention on cell phone users’ attitudes towards complaining and
complaint behaviour, Southern African Business Review, 18, 35-63.
XIX. Lam, S., Shankar, M., Erramilli, K. and Murthy, B. (2004), ‘‘Customer
value, satisfaction, loyalty and switching costs: an illustration from a
business-to-business service context’’, Journal of the Academy of
Marketing Science, Vol. 32 No. 3, pp. 293-311.
XX. Liu, R. and McClure, P. (2001), ‘‘Recognizing cross-cultural
differences in consumer complaintbehavior and intentions: an
empirical examination’’, Journal of Consumer Marketing,Vol. 18 No.
1, pp. 54-74.”
XXI. Mattila, A.S. (2001). The impact of relationship type on customer
loyalty in a context of service failures. Journal of Service Research,
4(2), 91–101.
XXII. Mattila, A.S., & Patterson, P.G.(2004). Service recovery and fairness
perceptions in collectivist and individualist contexts, Journal of Service
Research, 6(4), 336–346.
XXIII. Manukonda et al. (2019). What Motivates Students To Attend Guest
Lectures?. The International Journal of Learning in Higher Education.
Volume 26, Issue 1. 23-34.
XXIV. Maute, M. F., & Forrester, W. R.(1992). The structure and
determinants of consumer complaint intentions and behavior. Journal
of Economic Psychology, 14, 219-247. http://dx.doi.org/10.1016/0167-
4870 (93)90001-2
XXV. Oliver, R.L. (1997). Satisfaction: A behavioral perspective on the
consumer. New York:McGraw-Hill.”
XXVI. Smith, A.K., & Bolton, R.N.(2002). The effect of customers’
emotional responses to service failures on their recovery effort
evaluations and satisfaction judgments. Journal of the Academy of
Marketing Science, 30(1), 5–23.
XXVII. Neelima, J., Koneru, K.(2019). Assessing the role of organizational
culture in determining the employee performance – empirical evidence
from Indian pharmaceutical sector. International Journal of Innovative
Technology and Exploring Engineering. 8(7), pp. 1701-1707.
XXVIII. Smith, A.K., Bolton, R.N., & Wagner, J.(1999). A model of customer
satisfaction with serviceencounters involving failure and recovery.
Journal of Marketing Research, 36(3), 356–372.”

XXIX. Szymanski, D.M., &Henard, D.H.(2001). Customer satisfaction: A
meta-analysis of the empirical evidence. Journal of the Academy of
Marketing Science, 29(1), 16–35.
XXX. Tax, S.S., Brown, S.W., & Chandrashekaran, M. (1998). Customer
evaluations of service complaint experiences: Implications for
relationship marketing. Journal of Marketing, 62(2), 60–76.
XXXI. Thomas. J. B. (2010). The social psychology of IT security auditing
from the auditee’s vantage point: Avoiding cognitive dissonance. Isaca
Journal, 3, 1-4.
XXXII. Sivakoti Reddy, M. (2019). Impact of RSERVQUAL on customer
satisfaction: A comparative analysis between traditional and multichannel
retailing. International Journal of Recent Technology and
Engineering. 8(1), pp. 2917-2920.
XXXIII. Sivakoti Reddy, M., Venkateswarlu, N.(2019). Customer relationship
management practices and their impact over customer purchase
decisions: A study on the selected private sector banks housing finance
schemes. International Journal of Innovative Technology and
Exploring Engineering. 8(7), pp. 1720-1728.
XXXIV. Sivakoti Reddy, M., Murali Krishna, S.M.(2019). Influential role of
retail service quality in food and grocery retailing: A comparative
study between traditional and multi-channel retailing. International
Journal of Management and Business Research. 9(2), pp. 68-73.
XXXV. Sivakoti Reddy, M., Naga Bhaskar, M., Nagabhushan, A. (2016). Saga
of silicon plate: An empirical analysis on the impact of socio economic
factors of farmers on inception of solar plants. International Journal of
Control Theory and Applications. 9(29), pp. 257-266.
XXXVI. Suhasini, T., Koneru, K. (2019). Employee engagement through HRD
practices on employee satisfaction and employee loyalty: An empirical
evidence from Indian IT industry.
International Journal of Engineering and Advanced Technology. 8(4),
pp. 1788-1794.
XXXVII. Suhasini, T. Koneru, K. (2018). A study on employee engagement
driving factors and their impact over employee satisfaction – An
empirical evidence from Indian it industry.
International Journal of Mechanical Engineering and Technology. 9(4),
pp. 725-732.

 

View Download

Abstract:

Employee Relations are born out of “employment relationship” in an industrial setting. It is the Industry which provides the environment for employee relations. The Production and Productivity depends upon the type of Employee Relations in an organization. The overall performance of an Organization is effects when there is existence of Positive Employee Relations. The Internal Communication system, Trust among the employees, Best HR/ IR Policies by management, leadership style of the management, Goals of the individuals as well as organization are key factors to affect the relations. There are certain evidences in the literature to engendering the high motivation among the employee so the firm. Hence, the current study emphasized to assess the mediating role of employee motivation over the employee performance in the organizations. The researcher collected 888 samples from RastreeyaIspat Nigam Limited, Visakhapatnam to test the proposed model in this research paper. The respondents profile is explained by using the descriptive statistics such as mean and standard deviation. The proposed hypotheses of the model are tested by using Hayes (2016) mediation analysis. The results evidencedthe significant indirect effect in the proposed model.

Keywords:

Employee Relations,Trust,HR Practices,Communication System,Shared Goals & Values,Leadership Style,Employee Motivation,Employee Performance,

Refference:

I. C.H. Hymavathi, Koneru, K.(2018). Investors’ awareness towards commodities
market with reference to GUNTUR city, Andhra Pradesh.International Journal of
Engineering and Technology(UAE). 7(2), pp. 1104-1106.
II. Hymavathi, C., Koneru, K. (2019). Role of perceived risk in mutual funds
selection behavior: An analysis among the selected mutual fund investors.
International Journal of Engineering and Advanced Technology.8(4), pp. 1913-
1920.
III. Manukonda et al. (2019).What Motivates Students To Attend Guest
Lectures?.The International Journal of Learning in Higher Education.Volume 26,
Issue 1. 23-34.
IV. Neelima, J., Koneru, K.(2019). Assessing the role of organizational culture in
determining the employee performance – empirical evidence from Indian
pharmaceutical sector.International Journal of Innovative Technology and
Exploring Engineering. 8(7), pp. 1701-1707.
V. Sivakoti Reddy, M. (2019).Impact of RSERVQUAL on customer satisfaction: A
comparative analysis between traditional and multi-channel retailing.
International Journal of Recent Technology and Engineering. 8(1), pp. 2917-
2920.
VI. Sivakoti Reddy, M., Venkateswarlu, N.(2019). Customer relationship
management practices and their impact over customer purchase decisions: A
study on the selected private sector banks housing finance schemes. International
Journal of Innovative Technology and Exploring Engineering. 8(7), pp. 1720-
1728.
VII. Sivakoti Reddy, M., Murali Krishna, S.M.(2019). Influential role of retail service
quality in food and grocery retailing: A comparative study between traditional
and multi-channel retailing. International Journal of Management and Business
Research. 9(2), pp. 68-73.
VIII. Sivakoti Reddy, M., Naga Bhaskar, M., Nagabhushan, A. (2016).Saga of silicon
plate: An empirical analysis on the impact of socio economic factors of farmers
on inception of solar plants. International Journal of Control Theory and
Applications. 9(29), pp. 257-266.
IX. Suhasini, T., Koneru, K. (2019).Employee engagement through HRD practices
on employee satisfaction and employee loyalty: An empirical evidence from
Indian IT industry. International Journal of Engineering and Advanced
Technology.8(4), pp. 1788-1794.
X. Suhasini, T. Koneru, K. (2018). A study on employee engagement driving factors
and their impact over employee satisfaction – An empirical evidence from Indian
it industry.International Journal of Mechanical Engineering and Technology.9(4),
pp. 725-732.

View Download

Abstract:

This paper investigates the financial feasibility issues of broadband infrastructure project of state government of Andhra Pradesh to the development of digital networks. It also examines the state of telecommunications in the region today and presents potential economic and financial models of the development of a broadband network. In this study it has been proposed that broadband network project financial viability. In this study, new infrastructure investors are to be found among best financial feasibility assessment methods.

Keywords:

Broadband,Infrastructure Project,Economic Viability,Risk analysis,

Refference:

I. B. Blagonić, Katastarvodova u lokalnojinfrastruk- turiprostornihpodataka, PhD
thesis, University of Zagreb, Faculty of Geodesy, Zagreb, 2012.
II. D. Mesarić, F. Ambroš, M. Ivanović, Slavonskamreža –
Razvojmrežeširokopojasnogpristupanapodručju pet županijaregijeSlavonija i
Baranja, Conceptual design registered with the Ministry of Regional
Development and EU Funds of the Re-public of Croatia, 2013.
III. D. Mesarić, F. Ambroš, M. Ivanović, Slavonskamreža –
Razvojmrežeširokopojasnogpristupanapodručju pet županijaregijeSlavonija i
Baranja, Conceptual design registered with the Ministry of Regional
Development and EU Funds of the Re-public of Croatia, 2013.
IV. EC, A Digital Agenda for Europe, COM(2010) 245, Bruxelles, 19 May 2010.
V. F. Ambroš, D. Mesarić, M. Antunović, M. Ivanović, Razvoj i
održavanjeoptičkemreže NGN napodručjuSlavonije i Baranje, 22. Znanstvenostručniskup
OTO 2013, Osijek, Croatia, 25-26 April 2013, pp. 77-87.
VI. F. Ambroš, D. Mesarić, M. Antunović, M. Ivanović, Razvoj i
održavanjeoptičkemreže NGN napodručjuSlavonije i Baranje, 22. Znanstvenostručniskup
OTO 2013, Osijek, Croatia, 25-26 April 2013, pp. 77-87.
VII. HAKOM, Pravilnik o tehničkim i
uporabnimuvjetimazasvjetlovodnedistribucijskemreže, Zagreb, 2010.
VIII. M. Ivanović, T. Keser, D.Blažević, A capitalization of knowledge – innovation
processes in transition countries; Technical Gazette, Vol.18, No.1, 2012, pp. 15-
22.
IX. M. Ivanović, T. Keser, D.Blažević, A capitalization of knowledge – innovation
processes in transition countries; Technical Gazette, Vol.18, No.1, 2012, pp. 15-
22.
X. S. Steiniger, A. J. S. Hunter. Geospatial free and open source software in the 21st
Century, Lecture Notes in Geoinformation and Cartography, 2012, pp. 247-261.
XI. Strategijarazvojaširokopojasnogpristupa u Republic Hrvatskoj u razdobljuod
2012. do 2015. godine. Narodnenovine, 144/2011.
XII. S. Steiniger, A. J. S. Hunter. Geospatial free and open source software in the 21st
Century, Lecture Notes in Geoinformation and Cartography, 2012, pp. 247-261.
XIII. VladaRepublikeHrvatske, Strategijarazvojaširokopojasnogpristupa u
RepubliciHrvatskoj u razdoblju od 2012. do 2015. godine, Zagreb, 2011.
XIV. VladaRepublikeHrvatske, Strategijarazvojaširokopojasnogpristupa u
RepubliciHrvatskoj u razdobljuod 2012. do 2015. godine, Zagreb, 2011.The
impact of broadband in Eastern and Southeast Europe, Frontier Economics Ltd,
2010.

View Download

Abstract:

Previous studies revealed that the behavior of the customer while purchasing a smartphone is influenced by various factors. These factors may be the features of the phone or external factors arising out of the offers from retail stores. The present study aspires to investigateif there is any significant relation between the perceptions of educated customers taking into consideration the factors (Price, Advertisements, offers in retail stores, Add-on accessories given and After Sales Service) which largelyinfluence the consumer's choice while purchase of Smartphone. A structured questionnaire, on a 5-Point likert Scale, developed from previous studies was employed for acquiring data. A sample of 381 respondents was selected for the survey, using nonprobability sampling technique. The Sample is a mix of students and professionals from Rural and Urban locality of Andhra Pradesh and Telangana

Keywords:

Purchase Intentions,Smart Phone,Education levels,Price,Advertisements,Offers in Retail Stores,Add-on Accessories,After Sales service of Smartphone,

Refference:

I. Blackwell, R., DSouza, C., Taghian, M., Miniard, P., & Engel, J. (2006).
Consumer behaviour: an Asia Pacific approach. Thomson.
II. Chmielarz, W. (2015). Study of Smartphones Usage from the Customer’s
Point of View. Procedia Computer Science, 65, 1085–1094.
https://doi.org/10.1016/j.procs.2015.09.045
III. HanumanthaRao, S., UdayKiranSarma, A., & VenkateswaraKumar, K. S.
(2019). Predicting The Dynamics of Influencing Smartphone Purchase
Decisions. International Journal of Recent Technology and Engineering,
8(1), 2851–2856.

IV. Karjaluoto, H., Karvonen, J., Kesti, M., Koivumäki, T., Manninen, M.,
Pakola, J., … Salo, J. (2005). Factors affecting consumer choice of mobile
phones: Two studies from Finland. Journal of Euromarketing, 14(3), 59–82.
V. Kaushal, S. K., & Kumar, R. (2016). Factors Affecting the Purchase
Intension of Smartphone: A Study of Young Consumers in the City of
Lucknow. Pacific Business Review International, 8(12), 1–16.
VI. Kotler, P., Brown Linden, (author.), Adam Stewart, (author.), & Armstrong
Gary, (author.). (2004). Marketing (6th editio). Frenchs Forest, N.S.W. :
Pearson/Prentice Hall.
VII. Kotler, P., & Lee, N. (2008). Social marketing: Influencing behaviors for
good. Sage.
VIII. Ling, C., Hwang, W., & Salvendy, G. (2007). A survey of what customers
want in a cell phone design. Behaviour & Information Technology, 26(2),
149–163.
IX. Liu, C.-M. (2002). The effects of promotional activities on brand decision in
the cellular telephone industry. Journal of Product & Brand Management,
11(1), 42–51.
X. Lu, H., & Su, P. Y. (2009). Factors affecting purchase intention on mobile
shopping web sites. Internet Research, 19(4), 442–458.
https://doi.org/10.1108/10662240910981399
XI. Mack, Z., & Sharples, S. (2009). The importance of usability in product
choice: A mobile phone case study. Ergonomics, 52(12), 1514–1528.
XII. Manukonda et al. (2019).What Motivates Students To Attend Guest
Lectures?.The International Journal of Learning in Higher Education.Volume
26, Issue 1. 23-34.
XIII. Oulasvirta, A., Wahlström, M., & Ericsson, K. A. (2011). What does it mean
to be good at using a mobile device? An investigation of three levels of
experience and skill. International Journal of Human-Computer Studies,
69(3), 155–169.
XIV. Patel, R. K. (2014). A study on consumer behavior and opportunities for
Nokia smart-phones in India. Galaxy International Interdisciplinary
Research Journal, 2(1), 68–97.
XV. Rahim, A., Safin, S. Z., Kheng, L. K., Abas, N., & Ali, S. M. (2016). Factors
Influencing Purchasing Intention of Smartphone among University Students.
Procedia Economics and Finance, 37, 245–253.
XVI. Riyath, M. I. M., & Musthafa, S. L. (2014). Factors affecting mobile phone
brand preference: empirical study on Sri Lankan university students.
XVII. Saif, N., Razzaq, N., Amad, M., & Gul, S. (2012). Factors affecting
consumers’ choice of mobile phone selection in Pakistan. European Journal
of Business and Management, 4(12), 16–26.

XVIII. Sata, M. (2013). Factors affecting consumer buying behavior of mobile
phone devices. Mediterranean Journal of Social Sciences, 4(12), 103.
XIX. Singh, P. (2013). Smartphones are keeping users in India plugged in. Nielsen
Informate Global Insights.
XX. Sujata, J., Yatin, J., Abhijit, C., Noopur, S., & Ruchi, D. (2016). Factors
affecting smartphone purchase among indian youth: A descriptive analysis.
Indian Journal of Science and Technology, 9(15), 1–10.
XXI. Swait, J., & Adamowicz, W. (2001). The influence of task complexity on
consumer choice: a latent class model of decision strategy switching. Journal
of Consumer Research, 28(1), 135–148.
XXII. Yee, K. L. L., Siew, H. K., & Yin-Fah, B. C. (2013). Factors Affecting
Smartphone Purchase Decision Among Malaysian Generation Y.
International Journal of Asian Social Science, 3(12), 2426–2440.
XXIII. Yun, M. H., Han, S. H., Hong, S. W., & Kim, J. (2003). Incorporating user
satisfaction into the look-and-feel of mobile phone design. Ergonomics,
46(13–14), 1423–1440.

View Download

Abstract:

The purpose of the study is to understand employee Green HR Practices and their implementation in Educational institutions located in Guntur. The well-being of employees has become an important issue in competitive market within the educational institutions. Many institutions conduct various Green HR Practices programs for understanding its effect and influence on employee organization commitment strategically. But some employees skip these programs as they are not aware about the benefits of participating in these programs. Conveniences of 125 respondents are finalized for the study out of 150 samples was 25 responses are inconsistent and semi-filled are removed for inclusion in the study. Through this study we try to explore that factors by which employees are interested to participate in the Green HR Practices program interventions in the organization. To test the model we used descriptive and inferential statistics. The correlation between the constructs resulted that they exhibit a high correlation and the regression was performed to identify the dependence relation between the constructs. It is found that the all the constructed hypothesis are positively and significantly show a meaningful relation with organizational commitment by interventions of Green HR Practices.

Keywords:

Green HR Practices,Greater focus on CSR,Increased Savings,Change commitment,improved social image,

Refference:

I. Ahmad, S. (2015). Green Human Resource Management : Policies and
practices. Cogent Business & Management, 25(1), 1–13.
https://doi.org/10.1080/23311975.2015.1030817
II. Arulrajah, A. A. (2015). Green Human Resource Management Practices : A
Review Literature Review on Green HRM Practices. Sri Lankan Journal of
Human Resource Management, 5(1), 1–16.
III. Cooper-thomas, H., & Anderson, N. R. (2006). Organizational Socialization :
A New Theoretical Model and Organizational socialization A new theoretical
model and recommendations. Journal of Managerial Psychology, 21(5), 492–
516. https://doi.org/10.1108/02683940610673997
IV. Hymavathi, C.H., Koneru, K.(2019). Investors perception towards Indian
commodity market: An empirical analysis with reference to Amaravathi
region of Andhra Pradesh. International Journal of Innovative Technology
and Exploring Engineering.8(7), pp. 1708-1714.
V. KishanVarma, M.S., Koneru, K., Yedukondalu, D.(2019). Affect of worksite
wellness interventions towards occupational stress. International
Journal of Recent Technology and Engineering.8(1), pp. 2874-2879.
VI. Jackson, S. E., & Seo, J. (2010). The greening of strategic HRM scholarship.
Organization Management Journal, 7(4), 278–290.
https://doi.org/10.1057/omj.2010.37
VII. Mandip, G. (2012). Green HRM : People Management Commitment to
Environmental Sustainability. Research Journal of Recent Sciences, 1, 244–
252.
VIII. Manukonda et al. (2019).What Motivates Students To Attend Guest
Lectures?.The International Journal of Learning in Higher Education.Volume
26, Issue 1. 23-34.
IX. Neelima, J., Koneru, K.(2019). Assessing the role of organizational culture in
determining the employee performance – empirical evidence from Indian
pharmaceutical sector.International Journal of Innovative Technology and
Exploring Engineering. 8(7), pp. 1701-1707.

X. Rani, S. (2014). Green HRM : Practices and Strategic Implementation in the
Organizations. International Journal on Recent and Innovation Trends in
Computing and Communication, 2(11), 3633–3639.
XI. Ravi, P., & Prasad, S. (2013). Green HRM – Partner in Sustainable
Competitive Growth. Apeejay – Journal of Management Sciences And
Technology, 1(1), 15–18.
XII. Sudin, S. (2011). Strategic Green HRM : A proposed model that supports
Corporate Environmental Citizenship. International Conference on Sociality
and Economics Development, 10, 79–83.
XIII. Sivakoti Reddy, M., Venkateswarlu, N.(2019). Customer relationship
management practices and their impact over customer purchase decisions: A
study on the selected private sector banks housing finance schemes.
International Journal of Innovative Technology and Exploring Engineering.
8(7), pp. 1720-1728.
XIV. Sivakoti Reddy, M., Murali Krishna, S.M.(2019). Influential role of retail
service quality in food and grocery retailing: A comparative study between
traditional and multi-channel retailing. International Journal of Management
and Business Research. 9(2), pp. 68-73.
XV. Sivakoti Reddy, M., Naga Bhaskar, M., Nagabhushan, A. (2016).Saga of
silicon plate: An empirical analysis on the impact of socio economic factors
of farmers on inception of solar plants. International Journal of Control
Theory and Applications. 9(29), pp. 257-266.
XVI. Sivakoti Reddy, M. (2019).Impact of RSERVQUAL on customer
satisfaction: A comparative analysis between traditional and multi-channel
retailing. International Journal of Recent Technology and Engineering. 8(1),
pp. 2917-2920.
XVII. Suhasini, T. Koneru, K. (2018). A study on employee engagement driving
factors and their impact over employee satisfaction – An empirical evidence
from Indian it industry.International Journal of Mechanical Engineering and
Technology. 9(4), pp. 725-732.
XVIII. Suhasini, T., Koneru, K. (2019).Employee engagement through HRD
practices on employee satisfaction and employee loyalty: An empirical
evidence from Indian IT industry. International Journal of Engineering and
Advanced Technology. 8(4), pp. 1788-1794.
XIX. Zoogah, D. B. (2011). The dynamics of green HRM behaviors: A cognitive
social information processing approach. Zeitschrift Für Personalforschung,
25(2), 117–139. https://doi.org/10.1688/1862-0000

View Download