Influence of Frequent Flyer Programme and Airline Service Quality on Re-buy Intentions of Airline Frequent Passengers

The growth potential of service sector, especially the aviation sector in the Indian economy is splendid. Therefore, it is crucial for the airline service providers to realize their customers, design offers and deliver the desired value to their customers. This study reveals the effect of airline passenger satisfactions particularly on re-buy intentions derived from the attributes-level performance dimensions of both service aspects and loyalty programme of an airline. The mediation effect of satisfaction and other selected antecedents on the re-buy intention of a passenger is hypothesized in this study. Critical areas affecting buying intentions such as core service quality and loyalty attribute-level performances, effect of frequent flyer programme and service quality satisfaction, passenger trust on airline, brand image and moderating effects of perceived value, frequent programme status and travel frequency of airline passengers are linked in a structural model to assess the strength of each facet in affecting re-buy intentions. Implications to the airlines were made based on the finding that re-buy intentions cannot be attributed solely to the impacts of frequent flyer programme, rather affected through the mediation effect of airline service quality satisfaction, which is very much valid for the higher FFP status category of frequent travelers. The effects of moderation caused by perceived value, FFP status and flying experience were also found to be significant in making re-buy intentions.

Implication of Trade, Livelihood and Employment Exclusion among Workers in Plantation Sector in Kerala

The first part of the study has focused on the trends in area, production and productivity comparing the state’s performance with of national level performance. Also an attempt was made to understand the trends in commodity price over the years especially in the post liberalization period from the early 1990s. Plantation commodities occupy an important share in the country’s export basket and thereby earning foreign exchange to the national exchequer. Taking into consideration the competitive dimension of natural rubber, cardamom and pepper in the export market was analyzed to see penetration of these commodities in the world market.The second part of the study has tried to understand the plantation workers livelihood by understand the employment generation in the sector. Livelihood assets of plantation workers were analyzed to understand the nature of ownership of various assets. Understanding the poor quality and ownership of various livelihood assets and their relative deprivation the study also tried to understand the income-expenditure patterns and the nature of indebtedness among workers and the factors responsible for deprivation and thereby social exclusion.Area, Production and productivity trends of rubber, pepper and cardamom show a mixed picture. Area, Production trends are impacted greatly by the commodity price of the plantation crops.High correlation exists between commodity price and area and production trends of plantation crops in the state.In terms of Natural Rubber, Kerala experienced a steady growth over the years in terms of area production and productivity as the price of rubber has increasedIn terms of black pepper, the state witnessed a deceleration in growth.In the case of cardamom the area of cultivation declined whereas production increasedProductivity of natural rubber, pepper and cardamom has increased substantially over the yearsEmployment pattern in rubber and spices sub-sector has been analyzed by looking in to the commodity prices so as to see the changes in employment pattern over the years. The study has helped to understand that commodity price and employment generation in plantations are interconnected to such an extent that a fall in the commodity price have greater reverberations on the employment pattern in plantations.Livelihood analysis both in the small and large holdings show that workers belonging to rubber (large and small rubber) plantations have shown better possession of livelihood assets when compared to spices plantation workers as 16.2 percent of the spices sub-sector workers claimed about ownership of house which is considered to be an important and primary livelihood asset.In the case of natural assets like accessibility, availability and duration of water for drinking and other household purposes, the situation of workers in spices plantation still remain poor as around 80 percent of workers depending on public well public taps and canals as source of drinking water.Evaluating financial assets also give clear indication that the road to secure financial assets still remains a distant dream for the workers in plantation sectorEvaluating income and expenditure trends pinpoints to the fact that disparity in terms of income exist among the plantation workersWhile observing the employment though wage levels have improved because of improvement in commodity price of plantation crops, significant improvements are not visible in their livelihood and they remain excluded compared to other sections of the society.

A Study of Coir Vyvasaya Co-Operative Societies in Kerala – Performance, Problems and Prospects

The present study was undertaken to evaluate the performance of Coir Vyavasaya Co-operative societies (CVCs) in Kerala. It was also intended to examine the extent of fulfillment of the objectives of Co-operativisation Scheme and the socio-economic betterment of worker members, Further the study was directed to find out the level of participation of members in the affairs of CVCs and to identify the major problems confronting the CVCs and the future prospects of the industry. The objectives of this study are to evaluate the performance of CVCs in Kerala with reference to the objectives of co-operativisation, socio-economic background of the worker members of the CVCs in the state, extent of members participation, major problems etc. Major findings of the study shows that 84% of CVCs surveyed were incurring losses, the long-term solvency position of the CVCS shows very pathetic situation, ration analysis shows and unhealthy state of affaires with respect to short-term solvency position and operating efficiency of all categories of CVS were found to be extremely poor. If CVCs are enabled to increase their quantity of production and there by the volume of business, their amount of loss can be reduced. If this is so, the societies can provide more days of employment to their work members, which will help them to earn more wages and thereby improve their economic and social conditions

A study on the performance of flexible pavements on mature soil subgrades

The country has witnessed tremendous increase in the vehicle population and increased axle loading pattern during the last decade, leaving its road network overstressed and leading to premature failure. The type of deterioration present in the pavement should be considered for determining whether it has a functional or structural deficiency, so that appropriate overlay type and design can be developed. Structural failure arises from the conditions that adversely affect the load carrying capability of the pavement structure. Inadequate thickness, cracking, distortion and disintegration cause structural deficiency. Functional deficiency arises when the pavement does not provide a smooth riding surface and comfort to the user. This can be due to poor surface friction and texture, hydro planning and splash from wheel path, rutting and excess surface distortion such as potholes, corrugation, faulting, blow up, settlement, heaves etc. Functional condition determines the level of service provided by the facility to its users at a particular time and also the Vehicle Operating Costs (VOC), thus influencing the national economy. Prediction of the pavement deterioration is helpful to assess the remaining effective service life (RSL) of the pavement structure on the basis of reduction in performance levels, and apply various alternative designs and rehabilitation strategies with a long range funding requirement for pavement preservation. In addition, they can predict the impact of treatment on the condition of the sections. The infrastructure prediction models can thus be classified into four groups, namely primary response models, structural performance models, functional performance models and damage models. The factors affecting the deterioration of the roads are very complex in nature and vary from place to place. Hence there is need to have a thorough study of the deterioration mechanism under varied climatic zones and soil conditions before arriving at a definite strategy of road improvement. Realizing the need for a detailed study involving all types of roads in the state with varying traffic and soil conditions, the present study has been attempted. This study attempts to identify the parameters that affect the performance of roads and to develop performance models suitable to Kerala conditions. A critical review of the various factors that contribute to the pavement performance has been presented based on the data collected from selected road stretches and also from five corporations of Kerala. These roads represent the urban conditions as well as National Highways, State Highways and Major District Roads in the sub urban and rural conditions. This research work is a pursuit towards a study of the road condition of Kerala with respect to varying soil, traffic and climatic conditions, periodic performance evaluation of selected roads of representative types and development of distress prediction models for roads of Kerala. In order to achieve this aim, the study is focused into 2 parts. The first part deals with the study of the pavement condition and subgrade soil properties of urban roads distributed in 5 Corporations of Kerala; namely Thiruvananthapuram, Kollam, Kochi, Thrissur and Kozhikode. From selected 44 roads, 68 homogeneous sections were studied. The data collected on the functional and structural condition of the surface include pavement distress in terms of cracks, potholes, rutting, raveling and pothole patching. The structural strength of the pavement was measured as rebound deflection using Benkelman Beam deflection studies. In order to collect the details of the pavement layers and find out the subgrade soil properties, trial pits were dug and the in-situ field density was found using the Sand Replacement Method. Laboratory investigations were carried out to find out the subgrade soil properties, soil classification, Atterberg limits, Optimum Moisture Content, Field Moisture Content and 4 days soaked CBR. The relative compaction in the field was also determined. The traffic details were also collected by conducting traffic volume count survey and axle load survey. From the data thus collected, the strength of the pavement was calculated which is a function of the layer coefficient and thickness and is represented as Structural Number (SN). This was further related to the CBR value of the soil and the Modified Structural Number (MSN) was found out. The condition of the pavement was represented in terms of the Pavement Condition Index (PCI) which is a function of the distress of the surface at the time of the investigation and calculated in the present study using deduct value method developed by U S Army Corps of Engineers. The influence of subgrade soil type and pavement condition on the relationship between MSN and rebound deflection was studied using appropriate plots for predominant types of soil and for classified value of Pavement Condition Index. The relationship will be helpful for practicing engineers to design the overlay thickness required for the pavement, without conducting the BBD test. Regression analysis using SPSS was done with various trials to find out the best fit relationship between the rebound deflection and CBR, and other soil properties for Gravel, Sand, Silt & Clay fractions. The second part of the study deals with periodic performance evaluation of selected road stretches representing National Highway (NH), State Highway (SH) and Major District Road (MDR), located in different geographical conditions and with varying traffic. 8 road sections divided into 15 homogeneous sections were selected for the study and 6 sets of continuous periodic data were collected. The periodic data collected include the functional and structural condition in terms of distress (pothole, pothole patch, cracks, rutting and raveling), skid resistance using a portable skid resistance pendulum, surface unevenness using Bump Integrator, texture depth using sand patch method and rebound deflection using Benkelman Beam. Baseline data of the study stretches were collected as one time data. Pavement history was obtained as secondary data. Pavement drainage characteristics were collected in terms of camber or cross slope using camber board (slope meter) for the carriage way and shoulders, availability of longitudinal side drain, presence of valley, terrain condition, soil moisture content, water table data, High Flood Level, rainfall data, land use and cross slope of the adjoining land. These data were used for finding out the drainage condition of the study stretches. Traffic studies were conducted, including classified volume count and axle load studies. From the field data thus collected, the progression of each parameter was plotted for all the study roads; and validated for their accuracy. Structural Number (SN) and Modified Structural Number (MSN) were calculated for the study stretches. Progression of the deflection, distress, unevenness, skid resistance and macro texture of the study roads were evaluated. Since the deterioration of the pavement is a complex phenomena contributed by all the above factors, pavement deterioration models were developed as non linear regression models, using SPSS with the periodic data collected for all the above road stretches. General models were developed for cracking progression, raveling progression, pothole progression and roughness progression using SPSS. A model for construction quality was also developed. Calibration of HDM–4 pavement deterioration models for local conditions was done using the data for Cracking, Raveling, Pothole and Roughness. Validation was done using the data collected in 2013. The application of HDM-4 to compare different maintenance and rehabilitation options were studied considering the deterioration parameters like cracking, pothole and raveling. The alternatives considered for analysis were base alternative with crack sealing and patching, overlay with 40 mm BC using ordinary bitumen, overlay with 40 mm BC using Natural Rubber Modified Bitumen and an overlay of Ultra Thin White Topping. Economic analysis of these options was done considering the Life Cycle Cost (LCC). The average speed that can be obtained by applying these options were also compared. The results were in favour of Ultra Thin White Topping over flexible pavements. Hence, Design Charts were also plotted for estimation of maximum wheel load stresses for different slab thickness under different soil conditions. The design charts showed the maximum stress for a particular slab thickness and different soil conditions incorporating different k values. These charts can be handy for a design engineer. Fuzzy rule based models developed for site specific conditions were compared with regression models developed using SPSS. The Riding Comfort Index (RCI) was calculated and correlated with unevenness to develop a relationship. Relationships were developed between Skid Number and Macro Texture of the pavement. The effort made through this research work will be helpful to highway engineers in understanding the behaviour of flexible pavements in Kerala conditions and for arriving at suitable maintenance and rehabilitation strategies. Key Words: Flexible Pavements – Performance Evaluation – Urban Roads – NH – SH and other roads – Performance Models – Deflection – Riding Comfort Index – Skid Resistance – Texture Depth – Unevenness – Ultra Thin White Topping

Managerial Performance – An Analysis of Selected Antecedents and Mediators

The primary focus of this study was to asses the impact of selected antecedent variables namely Psychological Empowerment at Work (PEW), Psychological Contract Violation (PCV), Work Life Balance (WLB), Job Satisfaction (JS) and Affective Organisational Commitment (AOC) on Managerial Performance (MP) of middle level managers of private sector manufacturing and service sector organisations in Kerala.The study brings out the significance of Job Attitudes namely Job Satisfaction and Affective Organisational Commitment in meaningfully explaining the linkage between the rest of the antecedent variables in the study and Managerial Performance. The study interestingly revealed that Job Attitudes play a mediating role in explaining performance of managers unlike visualised in the initial conceptual framework. The study points to the importance of taking care of job attitudes in the work place to ensure performance of managers. The result of the study also brings out the significance of maintaining work-life balance especially in service sector organisations because it will have a direct impact on the level of performance of managers than most of the other contextual factors. Hence, it is the responsibility of HR department to initiate activities which are customised to the collective aspirations of the members of respective organisations to ensure positive job attitudes. HR departments should advice and convince the top management to provide resource support and endorsement to such initiatives.