..., performance expectancy, social influence, pandemic fear and trustworthiness positively influenced mHealth adoption intention, with the model demonstrating high predictive power from both the PLSpredict and ANN assessments. Research limitations/implications The importance–performance map analysis (IPMA...

... inquiry letters as the basis. From a text mining perspective, we explore whether the textual information contained in these inquiry letters can help predict financial restatement behavior of the inquired companies. Design/methodology/approach Python was used to process the data, nonparametric tests...

...Yitong Liu; Yang Yang; Dingyu Xue; Feng Pan Purpose Electricity consumption prediction has been an important topic for its significant impact on electric policies. Due to various uncertain factors, the growth trends of electricity consumption in different cases are variable. However...

...Niyati Aggrawal; Anuja Arora; Adarsh Anand; Yogesh Dwivedi Purpose The purpose of this study/paper is to propose a mathematical model that is able to predict the future popularity based on the view count of a particular YouTube video. Since the emergence of video-sharing sites from early 2005...

.... Design/methodology/approach This paper establishes a new gray model (GM) (1,N) prediction model based on the new kernel and degree of grayness sequences under the case that the interval gray number distribution information is known. First, the new kernel and degree of grayness sequences of the interval...

...Liang Zeng Purpose High-tech industries play an important role in promoting economic and social development. The purpose of this paper is to accurately predict and analyze the output value of high-tech products in Guangdong Province, China, by using a multivariable grey model. Design...

... Blown‐up Cybernetics Systems Prediction Evolution Due to the fact that predictions of weather changes and arrivals of major earthquakes have been constantly wrong, and due to the observation that major natural disasters occur during transitional systemic changes, we started to rethink about...

... the class all about his most recent research: how the great minds in history had made their thoughts known through hard work, against all odds and all prejudices, and through the abilities of their theories to bring forward brand new and astonishing predictions of various scientific events. From this course...

...Achim Sydow; Yi Lin; Sifeng Liu; Roman DeNu; William Mennell One of the difficulties experienced in applications of exponential prediction models of time series is resolved by introducing sequence operators. This approach is different from all known modelings of time series and regression analysis...

...B.H. Rudall © MCB UP Limited 2001 --> Cybernetics Systems Prediction Prediction science and some related matters Keywords Cybernetics, Systems, Prediction We are again pleased to welcome Dr Yi Lin of Slippery Rock University,Pennsylvania, USA as a guest editor...

... and Swedish stock markets differ in predictability of stock prices. With Finnish stock data, Aoki’s state space algorithm outperforms the subset of MAPE minimizing forecasts. In contrast, with Swedish stock data, ARIMA‐models of a fairly simple structure outperform Aoki’s algorithm. The stock markets are seen...

...Artemis Papakyriazis; Panagiotis Papakyriazis The interplay between prediction and estimation is crucial in adaptive prediction problems. In its general form, the adaptive prediction problem is a difficult multiperiod optimization problem and thus too complex for practical applications...