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In order to present the evaluation effect of sports on users’ health, this paper puts forward the construction of sports machinery error model based on wireless communication technology. A model for evaluating human health by sports is constructed, which consists of data layer, logic layer and display layer. The data layer is used to obtain sports event data, real-time sports data, and health monitoring data, and transmit them to the logic layer. The logic layer fuses human health data and extracts the characteristics of human health information. Combining with wireless communication technology, the characteristics are input into the long-short memory neural network, which outputs the results of sports health pattern recognition after forward and reverse operations, thus realizing the construction of sports machinery error model. The experimental results show that the model can effectively improve the BMI index value of the human body and reduce the maximum loss value, and the output results have higher reliability and fit, faster iteration speed and better performance.

This research investigates strategy-innovation relationship in manufacturing SMEs. The scope of investigation encompasses the technical, marketing, and organisational dimensions of innovation. Our work extends research on Miles and Snow's framework of strategy configurations by exploring the relationship between attributes of strategic posture and innovation behaviour. This approach aims to provide a more accurate representation of strategic management of innovation in manufacturing SMEs. Results (1) confirm the differentiated propensity to adopt specific innovation behaviours among strategic postures, thus confirming posture-specific innovation characteristics, and (2) highlight differentiated associations between strategic attributes and innovation attributes among strategic postures, thus bringing new insights on strategy-innovation fit. Results also emphasise the influence of hybridisation of strategic profiles on the predictive validity of strategy-innovation relationship. Finally, this research provides useful managerial inputs on the strategic management of innovation in SMEs from an innovation effectiveness standpoint.

A configurational approach to organizations assumes that structural and cultural characteristics must be in “fit” to produce the wanted outcome. With a focus on innovation, this study examines empirically to what extent innovative activities with a large, global telecom company are produced by an innovative culture, an innovative structure, as well as the fit between the two. Based on an extensive survey (N = 21064, response rate = 65) of employees in seven countries in Europe and Asia, data was aggregated to unit level as culture by nature is a collective phenomenon. The empirical analysis detected both the individual effects of culture strength and homogeneity, structure, as well as the fit between the two. The results indicate that an innovative culture and an organic structure indeed fosters innovation, but that, somewhat surprisingly, there are not effects of the fit between the two. Both practical and theoretical implications are discussed.

This paper presents a proposed new method of determining parameters and uncertainty bands of a specific non-linear function fitted to given measured data of examined points. One or both of the variables of this non-linear function are changed so as to linearize it. Using the linear regression method, fined are the most favorable parameters of this straight line for its adjustment to the measured values of the coordinates of points tested according to the weighted total mean square WTLS criterion. Their autocorrelation and cross-correlation coefficients as well as uncertainties estimated according to the rules of the GUM guide [1] are considered. The parameters and the uncertainty band of the non-linear function result from the parameters of this straight line and its uncertainty band. Numerical examples of determining the parameters and uncertainty bands for the branch of a 2nd degree parabola (two methods) and for the complex exponential function are given.