Trait and Ability Emotional Intelligence and Its Impact on Sports Performance of Athletes

Emotional intelligence (EI) is considered a determinant of sports performance. Two opposing perspectives have been discussed in the theoretical discourse on EI: EI as an ability versus EI as a trait, both widely differing in content and method of assessment. Previous applied sport psychology research is characterized by a heterogeneous use of different conceptualizations and measurements of EI. However, evidence for the superiority of an EI concept does not exist. This study directly compares the ability and trait EI concepts in the relationship with athletic performance. An online survey was conducted (response rate = 19%). Participants completed the Mayer-Salovey-Caruso Emotional Intelligence Test, the Trait Emotional Intelligence Questionnaire Short Form, a list of questions about biographical information as well as information related to sports performance and sport participation. We used regression analyses and controlled type of sports to investigate how sports performance is influenced by EI. Trait EI positively predicted self-assessment of athletes’ performance (B = 1.02; p < 0.01) whereby ability EI did not predict any outcome of sports performance. The effect of trait EI was independent of the ability EI. Overall, the result indicates some evidence for the superiority of the trait EI in applied sports psychology.Peer Reviewe

Navigating in Complex Business Processes

In order to provide information needed in knowledge-intense business processes, large companies often establish intranet portals, which enable access to their process handbook. Especially, for large business processes comprising hundreds or thousands of process steps, these portals can help to avoid time-consuming access to paper-based process documentation. However, business processes are usually presented in a rather static manner within these portals, e.g., as simple drawings or textual descriptions. Companies therefore require new ways of making large processes and process-related information better explorable for end-users. This paper picks up this issue and presents a formal navigation framework based on linear algebra for navigating in large business processes

Navigating in Process Model Collections: A new Approach Inspired by Google Earth

In complex business environments, business processes (e.g., engineering processes in the automobile industry) may comprise hundreds up to thousands of process steps. Though typically captured in a process model (or a collection of process models), these processes are presented to process participants in a rather static manner, e.g., as simple drawings. However, to effectively support process enactment and to link processes with relevant information,enterprises crave for new ways of visualizing processes and for interacting with them. In particular, process models must be provided in an interactive, more dynamic manner, i.e., they must be both "experiencable" and user-adequate from the perspective of the user. In this paper, we introduce a new process navigation concept for querying process model collections. Specically, we pick up an existing navigation concept for complex information spaces, namely Google Earth, and apply it to business processes. Thereby, we distinguish between geographical and semantic zoom functions, introduce different process views and filter mechanisms, and discuss options to manually configure needed process visualizations

On the Context-aware, Personalized Delivery of Process Information: Viewpoints, Problems, and Requirements

Enterprises are confronted with an increasing amount of data. This data overload makes it difficult to provide knowledge-workers and decision-makers with the needed information. Particularly challenging in this context is the integrated provision of both structured and unstructured information depending on the current process context and user, i.e., the context-aware, personalized delivery of process information. Examples of unstructured process information include all kinds of office documents or e-mails. Examples of structured process information are business process models or data from enterprise information systems. Picking up the need for a context-aware, personalized delivery of process information, this paper presents results from three empirical studies: two exploratory case studies from the automotive domain and the healthcare sector, and an online survey among 219 participants. In a first step, we identify and describe problems with respect to process-oriented information management in general and the personalized provision of process information in particular. In a second step, we derive requirements on the user-adequate handling of process information

Next-generation Process Management with ADEPT2

Short time-to-market, easy adaptation to changes in business environment, and robustness of processes are key requirements in today’s business world. In the IT area of Business Process Management (BPM), solutions claim to satisfy these new demands, but are still not sufficient.\ud In this paper we present a short overview on how these challenges are tackled by the ADEPT and AristaFlow projects and demonstrate a prototypical implementation

A Framework for the Intelligent Delivery and User-Adequate Visualization of Process Information

A continuously increasing amount of data makes it difficult for knowledge-workers to identify the information they need to perform their tasks in the best possible way. Particularly challenging in this context is the alignment of process-related information (e.g., working instructions, best practices) with business processes. In fact, process-related information (process information for short) and business processes are usually handled separately. On one hand, shared drives, databases, and information systems are used to manage process information, on the other, process management technology provides the basis for managing business processes. In practice, enterprises often establish (Intranet) portals to connect both perspectives. However, such portals are not sufficient. Reasons are that process information is usually delivered without considering the current work context and business processes are presented to process participants in a rather static manner. Therefore, enterprises crave for new ways of making process information available. This paper picks up this challenge and presents the niPRO framework. niPRO is based on semantic technology and enables the intelligent delivery and user-adequate visualization of comprehensive process information

Determining the Link and Rate Popularity of Enterprise Process Information

Today's knowledge workers are confronted with a high load of heterogeneous information making it difficult for them to identify the information relevant for performing their tasks. Particularly challenging is thereby the alignment of process-related information (process information for short), such as e-mails, office files, forms, checklists, guidelines, and best practices, with business processes. In previous work, we introduced the concept of process-oriented information logistics (POIL) to bridge this gap. POIL allows for the process-oriented and context-aware delivery of relevant process information to knowledge workers. So far, we have introduced concepts to integrate business processes with process information. A remaining challenge is to identify the process information relevant for a given process context. This paper tackles this challenge and extends our POIL approach with techniques and algorithms for identifying relevant process information. More specifically, we introduce two algorithms for determining the relevance of process information based on their link and rate popularity. We use a scenario from the automotive domain to demonstrate and validate the applicability of our approach

Improving Exception Handling by Discovering Change Dependencies in Adaptive Process Management Systems

Process-aware information systems should enable the flexible alignment of business processes to new requirements by supporting deviations from the predefined process model at runtime. To facilitate such dynamic process changes we have adopted techniques from casebased reasoning (CBR). In particular, our existing approach allows to capture the semantics of ad-hoc changes, to support their memorization, and to enable their reuse in upcoming exceptional situations. To further improve change reuse this paper presents an approach for discovering dependencies between ad-hoc modifications from change history. Based on this information better user assistance can be provided when dynamic process changes have to be made

Navigating in Process Model Repositories and Enterprise Process Information

Although process-aware information systems have been adopted in enterprises for many years, they still do not properly link the business processes they implement with related enterprise process information (e.g., guidelines, checklists, templates, and e-mails). On one hand, process management technology is used to design, implement, enact, and monitor processes. On the other, enterprise process information is spread over various sources like shared drives, databases, and enterprise information systems. As a consequence, users often manually link process information with particular process objects (e.g., using process portals). What is needed instead, however is an integrated access to both processes and related enterprise process information. This paper establishes such a link by introducing an integrated navigation space for process model collections and related enterprise process information. In particular, this navigation space allows process participants to flexibly navigate within process model collections, single process models, and related process information. In turn, this enables advanced end-user support for process repositories