Exploring the strategy to improve senior citizens’ participations on recreational sports

Developing a practical evaluation framework for identifying critical factors to achieve supply chain agility

“…For the evaluators' judgments on the influential relationships, the inconsistency rate of 3.50% was obtained. It was less than the recommended threshold of 5% [54,55], implying that additional questionnaires would not influence the results. Therefore, the credibility of the questionnaires was 96.50% (credibility = 1 À inconsistency rate).…”

“…Herein, the ANP is combined with DEMATEL to obtain the weights of the factors identified in the presented reference framework while considering their inter-relationships. The method can be described as follows [54,55]:…”

Fishing for Resilience

“…To that end, managers should consider the development of recreational portfolios (Tay et al 1996;Ma et al 2009) that incorporate multiple scales and activities, such as the inclusion of various recreational activities (e.g., fishing, reading, and water skiing) and various types of recreational fishing (e.g., gear and species specialization). It is also important in the development of recreational portfolios to consider the demographics of participants, especially in areas with aging populations (Chen and Sun 2012).…”

Prediction Analysis with Professional Basket Ball Teams Using Historical Data

“…Kvan and Sokol [10] devised a combinational model using Markov chainfor predicting plus using Regressionfor forecasting basketball matches held in colleges. It proved instumental and gave more precise outcomes as compared to other Mathematical models,existing prediction logics, tournament seeding etc.Mai [14] determined that players must reduce the personal as well as turnover mistakes known as fouls in game to win it.Lee and Worthington [20] made use of data analysis to calculateaccuracy of National Basketball Association guards, their results were greatly remarkable.Chen and Sun [15] prepared a multiple-factor decision-making structure by combiningevaluation laboratory having analytical network process methodsas well as decision making attempts to decipher significant criteriaand importance of individual factor and the surrounding environmental impact on the matchLvankovic et al [19] detertmined that with the increase in number of features, the classification accuracy is also increased.Liu [11] analysed that a higher level of Offensive capabilityproduces a higher Rank. He also claimed that Predition of Ranking can be easily calculated withthe average occurence of defensive rebounds and assits in gameCooper et al [17] provided highly stable results to judge Basketball team's strength along with weaknesses by making use of data envelopmentstudy.…”