International Journal of Enterprise Network Management (14 papers in press)
A FORMATIVE APPROACH TO EMPLOYEE RETENTION USING STRUCTURAL EQUATION MODELING
by M. Deepa Naidu, A.T. RESMI
Abstract: The study analyzes the antecedents of employee retention using a Structural Equation Modeling. Health care professionals are critical in the provision of health sector, particularly nurses who are very valuable to the organizations since they are the ones who provide firsthand service to the patients, it is important to ensure that skilled nurses are retained and the voluntary turnover among them is managed properly. rnThere were 189 sets of questionnaire randomly distributed to the health care professionals in hospitals. The questionnaire consists of 100 items with fixed alternative construct questions. The respondents were asked to rate the questions in five point likert scaling method which allows respondents to understand the questions clearly. The study found that 67% of employee retention is resultant of job involvement, organizational citizenship behavior, people management practices, organization loyalty, employee empowerment.rnThis study provides ample evidences from literature about the predictors of Employee Retention and provides an empirical base to induce Employee Retention in hospitals. rn
Keywords: Job involvement, organizational citizenship behavior, people management practices, organization loyalty, employee empowerment and Employee retention.
A Methodology facilitating Knowledge Transfer to both research experienced companies and to novice SMEs
by Magnus Holm, Marcus Frantzén, Tehseen Aslam, Philip Moore, Lihui Wang
Abstract: In this paper, knowledge transfer is defined as a process of disseminating both technological and theoretical understanding as well as enhancing both industrial and academic knowledge through conducted research to project partners collaborating within a research project. To achieve this, a new methodology called user groups is introduced. It facilitates knowledge transfer between project participants in collaborative research programmes engaging both experienced and unexperienced partners regardless of level of input.rnThe introduced methodology user groups provides tools for collaborating with several research partners even though their levels of engagement in the project and prior research experience may vary without dividing them into separate groups. It enables all project partners to gain new knowledge and by so doing extending the Knowledge Society. The case study shows that the eight engaged companies are able to cooperate, achieve their own objectives and, both jointly and individually, contribute to the overall project goals.
Keywords: methodology facilitating knowledge transfer; technology transfer; SME; Small and medium enterprises; knowledge society.
Learning in Academic Enterprise- A study on Antecedents using Lisrel 8.7 and Smart PLS 2.0
by A. K. KRANTHI, A.T.Resmi
Abstract: The concept of Learning Organizations has its application across the various disciplines in different sectors which aim at continuous improvement. Education sector particularly higher education with special reference to the universities will fit in into this concept perfectly. Universities being the knowledge intensive organizations often face the criticism of not being a learning organizations. The reason can be attributed to the lack of leadership of immediate supervisor that leverages affective commitment of the faculty members by psychologically empowering them followed by lack of commitment and empowerment among the faculty members. Thus, the present paper empirically puts forth the impact of affective commitment on Learning Organization when mediated by resonant leadership and psychological empowerment in university faculty context. To keep up with the pace in the prevailing competitive scenario, it becomes a conscious mandate for the universities to unlearn the conventional process and switch over to the process of organizational learning. Unlearning the old process and learning the new process always calls for the gesture of acceptance and willingness to move forward from faculty members. They also are expected to be committed. Affective commitment alone doesnt cater to the need of learning organization, since the commitment in the context of university faculty is often triggered by a leadership of the immediate supervisor who holds a crucial role in psychologically empowering the employees. This calls for the need to address the relation between affective commitment, Resonant Leadership Psychological empowerment and the concept of Learning Organization.
Keywords: Key words: Learning Organization (LO), Organizational Learning (OL), Organizational Commitment (OC), Resonant Leadership, Psychological Empowerment (PE).
An Efficient Radon Mapped Discrete Wavelet Transform Based Algorithm for MC-CDMA System.
by Sowmy I, Jayakumari j
Abstract: The proposed work is aimed at improving bit error rate (BER) performance and spectral efficiency, increasing data rate, reducing intersymbol interference (ISI) and interchannel interference (ICI). Implementation of a conventional MC-CDMA system normally involves the use of QAM techniques for mapping. In the proposed work a mapping technique which is based on finite radon transform is used. The use of finite radon transform (FRT) improves orthogonality between the subcarriers. It also reduces Inter Symbol Interference (ISI) and Inter Carrier Interference (ICI), which is due to the loss of orthogonality between carriers. Since discrete wavelet transform (DWT) is used instead of Fast Fourier transform (FFT) which is employed in conventional Multi-Carrier CDMA techniques, the insertion of guard interval is not required and it offers better spectral efficiency. Result shows that the Bit Error Rate performance of the proposed algorithm is far better than conventional techniques in AWGN channel.
Keywords: Finite Radon Transform; Gold sequence; Daubechies wavelets; Symlets; Coiflets; AWGN channel.
STATISTICAL ANALYSIS ON CENTRALIZATION OF SOFTWARE TESTING ORGANIZATION AND ITS IMPACT ON PRODUCTION DEFECT AND COST OF TESTING
by Sanjay Mohapatra, Suman Kumar Kanth, P.C. Basak
Abstract: Software testing is a critical component in the shifting paradigms of software development because of the changing nature of technology and the increasing complexity of real time changes impacting in this area. Still the area is very less researched and the impacts have been less analysed statistically. In practice cost and quality are the two important items apart from the on time delivery. Centralization and partial centralization of testing units in the organizations is one such area where organizations always struggle to see the impact. Knowledge management is another area where the changes are explicit but never well researched. This study tries to fill that gap where the impact of the centralization of testing unit and the knowledge management process on Production Defect and Cost of Testing is analysed on the basis of statistical model. The survey conducted with practitioners gives us the reliable data points to conclude that these variables positively impact the researched topics however their impacts vary in terms of their significance. It is sincerely hoped that this research will give a stage for further researches happening in the area of software testing and its centralization in an organization.
Keywords: Centralized Testing Unit; Knowledge Management; Production Defect; Software Testing; Cost of Testing.
A Model of Institutionalising Practices by SMEs in China
by Jonathon Hu, John Stanton
Abstract: How and to what effect small businesses in China build and utilise their guanxi networks as an informal institution remain unanswered questions. Modelling and testing a model of institutionalising, or the performance-conducive managerial practices involved in building, leading, and utilising a SMEs guanxi institution, is the purpose of this paper. Drawing from the literature and interviews we propose key aspects of institutionalising practices, the antecedents of each aspect, and a survey questionnaire which were hand-delivered to 308 SMEs in China, achieving 212 valid samples. Governing, Diversifying, Weaving, Sharing and Distributing, the five institutionalising aspects hypothesised in the SME institutionalising model, were found to moderately covary with each other and contribute significantly to SME performance. The strategic actions corresponding to the five aspects can help a SME identify its institutionalising deficiencies and acknowledge its institutionalising achievements. The model also enables SME stakeholders to effectively explain, anticipate and respond to institutionalising actions. The findings indicate that institutionalising is not only to gain institutional legitimacy as suggested in the extant literature, but also to strive for institutional prestige within the Chinese institutional environment.
Keywords: institution theory; Chinese business network; guanxi; SME.
Android Controlled Autonomous Robot Car
by Shivendra Singh, Sureshkumar Nagarajan
Abstract: A robot is a diverse electro-mechanical machine which is developed using electronic circuits, mechanics and programmed by computer. Number of robots with diverse features have been invented for manufacturing and industrial purpose. As we all know, now our world is revolving around mobile devices. Most of the people in todays world own mobile phones. So controlling a robot with mobile is the vision of this project. The project presented below is a miniature model of a Bluetooth controlled device which is based on the Android Operating System as the software interface and an Arduino Atmega328 microcontroller as the hardware component. The project is implemented in the form of a Bluetooth controlled autonomous car. Car movement will be controlled from an Android device which will direct the movement of the car based on the input given by pressing the buttons on the screen which will direct the car to move accordingly in different directions.
Evaluation through Quality Function Deployment (QFD) and Analytic Hierarchy Process (AHP) for selecting the tube material in heat exchangers at Nuclear Power Plants.
by S. Anandan, R. Rajesh, K. Ganesh
Abstract: Success is the key for every manufacturing unit. In the present world energy is the one factor which play a vital role to decide the nations position in the global standard. Nuclear Power Industry which gives the added value of this success. The efficiency of the Nuclear Power stations determines the performance of the condenser. The failure of the condenser is because of the poor quality of the condenser tubes and other related factors in which the performance of the Nuclear sector presides. Achieving the delivery of the right materials on the right place and with the desired quality plays a critical role on the industry success. The material selections for the condenser tubes studies is in developing stage and always give better chances for researcher. Therefore, selecting the best suitable material for condenser tube is always welcomed by every energy industry. In this case study there are several literature's were studied and through which a new combination of QFD and AHP method have been applied and with the various material selecting procedures include and studied various factor affecting the efficiency criteria. The aim of this study is to apply an Analytic Hierarchy Process (AHP) and Quality Function Deployment (QFD) to select the most appropriate material for better Condenser performance.
In the case study, five different heat exchanger tube materials are selected and twelve evaluation criteria have been applied and results therein by various exports in this field are collected and the final result checked and made the outcome result obtained.
Keywords: Condenser tube: Material Selection: Material Properties: cost Analysis: QFD: Quality Function Deployment; AHP: analytic hierarchy process.
PROCESS PARAMETERS SELECTION FOR LASER WELDING OF 304-STAINLESS STEEL USING AHP METHOD
by Balakrishnan Navamani, R. Rajesh, K. Ganesh
Abstract: Industry is the back bone of every country. A wealth of the country will be measured always in terms of their social, economical and industrial growth. An industry success is always depends on various parameters including their machineries and equipments. Welding is the one of the very important terminology used in mechanical engineering. Joining the two metals the welding is playing a vital role. Different types of welding, different types of joints, different types of process etc., are the few in welding terminology. In Latest technology of welding is Laser welding. There are many advantages in laser welding and also different technique to be followed in this laser welding. There are many process parameters are used through laser welding technology and chose the best one will be selected through Analytical Hierarchy Process (AHP) Method. Here in this paper the selection process parameters for Laser welding of 304 stainless steel using AHP Method is described by selecting three process parameter variables like laser Power, welding speed and welding angle of incidence and three response parameters like penetration depth, weld width and shear strength.
Keywords: AHP; Laser welding.
Multimodal logistics for Indian automotive sector
by Balakrishnan AS, Jayshree Suresh
Abstract: In the developing countries like India, to support and sustain any future growth, adequate road and rail infrastructure is required. Investment in infrastructure, use of multiple transportation modes to increase the supply chain efficiencies and green innovation in logistics are the solutions. This research study comprises the conceptual framework on the multimodal logistics practices to improve logistics performance, descriptive statistics of multimodal transportation using rail and road mode and a case study on Ford Indias finished vehicle distribution using multimodal network. Research outcome reveals an increasing interest towards multimodal logistics in Indian automotive to improve logistics performance, transport attributes from framework aligned with key performance indicators from the case study.
Keywords: Multimodal logistics; logistics performance; Rail and road; Green innovation; finished vehicle distribution; India.
POWER QUALITY IMPROVEMENT IN MICROGRID USING CUSTOM POWER DEVICES
by Prajith Prabhakar, Vennila Rajesh
Abstract: Abstract Power quality may be caused when maximum AC loads consume reactive power. Distribution STATCOM is a custom power device (CPD) which is used to control the flow of reactive power in the Micro grid. Compensation of reactive power and the other power quality issues are being analyzed with the help of Model Predictive control (MPC) algorithm. The detailed modeling and simulations of MPC with DSTATCOM are presented and implemented along with necessary equations in the MATLAB simulink using the simpower systems tool boxes.
Keywords: Keywords — Power Quality; Reactive power control; Microgrid; predictive control; DSTATCOM.rnrn.
Estimating the parameters of Software Reliability Growth Models using Hybrid DEO-ANN Algorithm
by Shailee Lohmor, B.B. Sagar
Abstract: The parameter estimation of Software reliability growth model (SRGM) is extremely useful for software developers and has been broadly acknowledged and applied. However, each SRGM contains some undetermined parameters and estimation of these parameters is a fundamental task. Mostly, these parameters are estimated by the Least Square Estimation (LSE) or the Maximum Likelihood Estimation (MLE). However, these methods impose certain constraints on the parameter estimation of SRGM like requiring the modelling function. In this paper, we propose an efficient approach to estimate the parameters of software reliability growth model (SRGM) using a Hybrid Dolphin Echolocation Optimization-Artificial Neural Network (DEO-ANN) through parallel computation. The DEO is utilize to optimize the weights and the structure of the ANN to reduce computational complexity. The performance of the proposed approach for parameter estimation of SRGM is also compared with other existing approaches. The experimental results show that the proposed parameter estimation approach using DEO-ANN is very effective and flexible, and the better software reliability growth performance can be obtained on the different software failure datasets.
Keywords: Software Reliability Growth Model (SRGM); Parameter Estimation; Least Square Estimation (LSE); Maximum Likelihood Estimation (MLE); Dolphin Echolocation Optimization (DEO),Artificial Neural Network(ANN).
MULTI - OBJECTIVE OPTIMIZATION OF MAHUA OIL TRANSESTERIFICATION USING RESPONSE SURFACE METHODOLOGY AND GREY RELATIONAL ANALYSIS
by R.R.Neela Rajan, R. Rajesh
Abstract: A mathematical model for the transesterification of Mahua oil was developed at five different process parameters such as catalyst concentration, methanol to oil ratio, reaction time, stirrer speed and extraction temperature. A three - level five factorial Box Behnken - Response Surface Methodology (RSM) was employed to design the experiment. Analysis of variance (ANOVA) of experimental results at 95% confidence level showed that catalyst concentration and methanol to oil ratio were significant process parameters in the transesterification process and the predicted values were quite close to the experimental values, thus, validating the credibility of the model. The Grey Relational Analysis (GRA) was employed to optimize the process parameters for minimizing the viscosity of transesterified mahua oil and maximizing the yield of mahua oil biodiesel.
Keywords: Mathematical model; Transesterification; Mahua oil; Process parameters; Box – Behnken - RSM; Analysis of variance; GRA; Yield and Viscosity.
IMPROVING OPERATIONAL EFFICIENCY IN UTILITY SECTOR THROUGH TECHNOLOGY INTERVENTION
by Sanjay Mohapatra
Abstract: The purpose of this paper is to perform an empirical study of factors which determine the improvement of operational efficiency in utility sector. After numerous literature review, the variables that affect operational efficiency were identified which are common across different utilities.All the stake holders were interviewed. The interview was taken using a structured questionnaire, which contained questions mainly on Likert scale. The data was collected from 15 villages and 3 urban areas. Data from 222 respondents was collected, out of which 52 respondents were domestic rural consumers, 50 respondents were domestic urban consumers, 50 respondents were non-government employees, 60 of the respondents were government employees and 10 respondents were expert to the utility The data collected was divided into two sets, the first data set contained data pertaining to rural and urban domestic consumers and the second set contained data pertaining to government employee, non-government employee and experts. The analysis was then done separately for the two sets of data. Thereafter the collected data was analysed using Exploratory factor analysis technique in SPSS. The factors which came out during the exploratory factor analysis were used to perform confirmatory factor analysis by drawing a model in SPSS AMOS. From the analysis, the factors which are most important in determining the operational efficiency of the utility was determined for the two sets of data separately. It was found out that Process re-engineering and reducing AT&C losses are the most important factors that determine operational efficiency. The research was conducted considering certain factors which were conjured to have a role in determining the operational efficiency of a utility. Certain other factors of significance might not have been taken into account. The research was carried out with the responses from the people through a random sampling belonging to a particular region or geography. The scenario might vary with respect to other geographies. Due to time constraint, the sample size was also limited. A greater sample size should be taken to find out the real factors which determine the operational efficiency.
Keywords: Operational Efficiency; Domestic rural consumers; Domestic urban consumers; Government employees; Non-government employees; Experts; Exploratory factor analysis; Structural equation modelling; Confirmatory factor analysis.