Social Sciences
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Item The Fanaticism of Cricket Fans’ Impact on Brand Recall of Advertised Brand While Cricket Match Being Telecasted(Reviewing International Encounters 2018,The Research Center for Social Sciences (RCSS), University of Kelaniya, Sri Lanka, 2018) Senanayake, R.M.C.A.; Ramanayaka, A.R.N.D.; Sbeykoon, A.M.S.J.P.Cricket fans have a doubt when they sit in front of the TV to watch the game .It is about what actually are they watching either match or TV Commercials (TVC .)Therefore, this study was mainly focused to find the impact of “Fanaticism” (FAN) on “Brand Recall” (BR) of products which being telecasted during the cricket match subjectively with L shape (LS) vs Full Frame (FF)2 Secondly, to develop an empirical instrument to measure “fanaticism ”as a latent concept to confirm which type of TVC more impact on BR. This study was based to the hypothesis of FF TVC makes relatively more benefits in terms of BR than LS TVC does. First, exploratory factor analyses (EFA )procedure was used to reduce the dimension on the 58-items in questionnaire . We found statistical evidence to reduce the 58 items in to 43 items which have over 0.7 eigenvalue and over 0.75 Cronbach's Alpha value averagely . Second, data were collected by reduced questioner from 200 respondents who in boy’s hostel of the University. We used Confirmatory Factor Analysis (CFA )approach using Structural Equation Modelling (SEM )procedure for parcel the items with minimum error in each measurement. The IFI (0.918 =FF, .725= LS) value and TLI (0.902=FF, 078= LS) value close to 1 indicates that goodness fit of the empirical model with conceptualized model. On the other hand, RMSEA value is less than 0.8 indicates that close fit of the model in relation to the degree of freedom. The estimated value of each hypothesized relationship of conceptualized models were statistically significant except the relationship between “Attitudinal Loyalty” and indicator called “Q19.5. There is a negative relationship between BR and FAN, on the other hand the negativity is grater with LS TVCs (-0.585) than FF TVCs (-0.472). According to the convergent validity is based on average variance extracted (AVE) and only one construct called “Attribute” is failed to establish as a good construct in the model. This results brake the common acceptation of marketers who pursue their marketing objectives via FF TVCs during the matchesItem Ranking Cricket Players According to Their Efficiency of Performances: A Criterion Formulation for a Minimum Error Team Selection(Research Centre for Social Sciences, Faculty of Social Sciences, University of Kelaniya, Sri Lanka, 2016) Ramanaka, A.R.N.D.; Bandara, K.A.W.P.; Wehigaldeniya, W.G.D.S.; Oshani, P.A.L.; Dilshani, P.Y.H.; Jayantha, K.This research suggests a new criterion for cricket team selection using data envelopment analysis (DEA) with the objective of selecting a team which has a minimum error in team selection. It proposes a DEA formulation for evaluation of cricket players in different capabilities and their efficiencies of performance using multiple outputs. For instances, batting, bowling all rounding, wicket keeping, and fielding capabilities. This evaluation determines efficient and inefficient cricket players and ranks them on the basic of DEA scores. The ranking can be used to choose the required number of players for a cricket team in each cricketing capability. A real data set which belongs to Sri Lankan Cricket team during ICC world cup 2015 is associated with the data analysis process. Cricket players having various capabilities is used to choose the best cricket team. For this purpose, the secondary data were derived from “ESPN” cricinfo web site (Which is reputed web site for international cricket data). The proposed method has the advantage of considering multiple factors related to the performance of players in multiple capabilities and aggregates their scores using a DEA model in linear programming frame work. This DEA aggregation gives the scores of players objectively instead of using subjective computations. The findings of this study suggest that DEA has the potential to select players to the Cricket team fairly. There for these findings cane be used to player’s selection in local and national cricket team selection as objective selection criteria.Item Ranking cricket players according to their efficiency of performances: a criterion formulation for Minimum error team selection(Faculty of Social Sciences, University of Kelaniya, Sri Lanka, 2015) Bandara, K.A.W.P.; Ramanayeka, N.This research suggests a new criteria for cricket team selection using Data Envelopment Analysis (DEA) with the objective of selecting a team which has minimum error in terms of team selection. It propose a DEA formulation for evaluation of cricket players in different capabilities and their efficiencies of performances using multiple outputs. For instances, batting, bowling, all rounding, wicket keeping and fielding capabilities. This evaluation determines efficient and inefficient cricket players and ranks them on the basis of DEA scores. The ranking can be used to choose the required number of players for a cricket team in each cricketing capability. A real dataset, associated with the one day matches played by Sri Lanka between the 2011 ICC cricket world cup to 2015 ICC cricket world cup. Cricket players having various capabilities is used to choose the best cricket team. For this purpose the secondary data were derived from ESPN Cricinfo website. The proposed method has the advantage of considering multiple factors related to the performance of players in multiple capabilities and aggregates their scores using a DEA model in Linear Programming frame work. This DEA aggregation gives the scores of players objectively instead of using subjective computations. The proposed DEA method can be used to form a national cricket team from several clubs or a team of top cricketers.