Diffusion of IS in companies using renewable resources and its impact on uncertainty

The importance of sustainability is meanwhile well known in research as well as in practice. One way to produce moresustainable goods is the use of renewable resources. In this paper we present a two-staged study, consisting of a quantitativesurvey followed by qualitative interviews with companies which use renewable resources as an input for production. Thefocus of our study is on the diffusion of IS and supporting technologies and concepts in these special industrial sector. Due tothe natural growth and environmental influence factors it can be supposed that renewable resources are underlying a greateruncertainty regarding quantity, quality and time of availability. Therefore we also examine the influence of IS on uncertaintyin the companies surveyed

Creating Sentiment Dictionaries: Process Model and Quantitative Study for Credit Risk

Since textual user generated content from social media platforms contains valuable information for decision support and especially corporate credit risk analysis, automated approaches for text classification such as the application of sentiment dictionaries and machine learning algorithms have received great attention in recent user generated content based research endeavors. While machine learning algorithms require individual training data sets for varying sources, sentiment dictionaries can be applied to texts immediately, whereby domain specific dictionaries attain better results than domain independent word lists. We evaluate by means of a literature review how sentiment dictionaries can be constructed for specific domains and languages. Then, we construct nine versions of German sentiment dictionaries relying on a process model which we developed based on the literature review. We apply the dictionaries to a manually classified German language data set from Twitter in which hints for financial (in)stability of companies have been proven. Based on their classification accuracy, we rank the dictionaries and verify their ranking by utilizing Mc Nemar’s test for significance. Our results indicate, that the significantly best dictionary is based on the German language dictionary SentiWortschatz and an extension approach by use of the lexical-semantic database GermaNet. It achieves a classification accuracy of 59,19 % in the underlying three-case-scenario, in which the Tweets are labelled as negative, neutral or positive. A random classification would attain an accuracy of 33,3 % in the same scenario and hence, automated coding by use of the sentiment dictionaries can lead to a reduction of manual efforts. Our process model can be adopted by other researchers when constructing sentiment dictionaries for various domains and languages. Furthermore, our established dictionaries can be used by practitioners especially in the domain of corporate credit risk analysis for automated text classification which has been conducted manually to a great extent up to today

Popular Gym fitness sport

Background: Recreational fitness sports are popular worldwide and rank first among organised sports. This study aims to bridge a knowledge gap by examining which exercises are most prone to causing pain symptoms, as a possible precursor for injury, and analysing the body regions that are most frequently affected. Methods: Using an online questionnaire, 20 demographic and training-specific items and 49 sport-specific exercises were recorded. Frequent exercises as well as the incidence and distribution of pain symptoms that the athletes experienced during or in relation to their training were evaluated. Results: The study assessed common exercises and documented the frequency and distribution of pain symptoms experienced by athletes during or in relation to their training. A total of 1387 respondents were included in this study. Of these, 732 (53.1%) experienced pain during their fitness training, with 333 (24.2%) being female and 397 (22.3%) being male. The method of creating a training plan showed a significant influence ($\it p$ < 0.001): athletes who devised their own plans reported pain or instability more frequently than those in the comparison groups. Guided exercises on machines resulted in the lowest frequency of pain (11.54%), while exercises with free weights were associated with the highest pain rate among respondents (19.94%). Specifically, exercises such as the back squat, deadlift, bench press, and triceps dips were identified as the exercises most commonly associated with pain. The most frequently reported pain region was the shoulder, followed by the lower back and knees. Conclusion: The findings reveal a significant number of unreported pain symptoms. The disparity between rigorous training volumes and the absence of professional care frequently leads to injuries and pain. It is incumbent upon sports medicine to investigate the root causes of these complaints (pain or instability) to implement preventive measures against potential injuries

An analysis of sport-specific pain symptoms through inter-individual training differences in CrossFit

Background: CrossFit is one of the fastest growing "high-intensity functional training" methods in recent years. Due to the very demanding motion sequences and high loads, it was initially assumed that there was an extremely high risk of injury. However, studies have shown that injury rates are given between 0.74–3.3 per 1000 h of training, which is not higher than in other individual sports such as weightlifting. The purpose of the study was to estimate the type of pain symptoms that are directly related to CrossFit, to estimate the frequency of injuries that occur within a population of recreational CrossFit athletes, and, finally, to identify the factors influencing the frequency of pain during CrossFit training. Methods: A total of 414 active CrossFit athletes completed an online survey inclusive of 29 items focusing on individual physical characteristics and training behavior, as well as simultaneous or previously practiced sports. Results: There was a significantly higher proportion of knee pain in athletes who had previously or simultaneously played another sport ($\it p$ = 0.014). The duration, intensity, or type of personal training plan developed, along with personal information such as age, gender, or BMI, had no significant influence on the pain data. We could not find any significant variance between the groups that we formed based on the differently stated one-repetition max (RMs). There were differences in athletes who stated that they did specific accessory exercises for small muscle groups. Above all, athletes performing exercises for the hamstrings and the gluteus medius indicated fewer pain symptoms for the sacro-iliac joint (SIJ)/iliac and lower back locations. Conclusions: It is important not to see CrossFit as a single type of sport. When treating a CrossFit athlete, care should be taken to address inter-individual differences. This underlines the significant differences of this study between the individual athletes with regard to the ability to master certain skills or their previous sporting experience. The mere fact of mastering certain exercises seems to lead to significantly more pain in certain regions. In addition, there seems to be a connection between the previous or simultaneous participation in other sports and the indication of pain in the knee region

An evaluation of 7279 sports injuries from a level 1 trauma center with a focus on gender differences

Purpose: Hardly any other topic is as current as the gender-conscious medical treatment of every individual. Similarly, in sports, there are crucial differences that should be considered in order to treat everyone appropriately, with the aim to prevent injuries according to their needs. The objective of this study is to show that the differences between biological males and females are so significant that they require both specific injury prevention and therapy programs. Methods: This study is a retrospective analysis of letters from a department of orthopedics and trauma surgery between the years 2000 and 2015. Results: The analysis of 20,567 inpatient and outpatient letters of a level 1 trauma center in Germany revealed that 5455 patients suffered 7279 injuries; 1475 of the patients were female and suffered 2035 injuries, and 3890 patients were male and suffered 5244 injuries. Conclusion: The results show the differences between males and females with regard to sport-specific injuries, pointing out the sex differences in the sport-specific area in relation to the body region