User acceptance is increasingly regarded as a critical success factor for mobile services. Although several acceptance models exist and help to increase understanding the different influencing factors on user acceptance, they are not suitable to support the development of mobile services. The paper introduces the Compass Acceptance Model (CAM), which is especially designed for the analysis and evaluation of the user acceptance for mobile services. Fundamental design criteria are the applicability during the whole product life cycle, a balanced consideration of relevant influencing factors, the use as a permanent controlling instrument and the adaptability to the individual requirements of a service. The CAM helps to verify the perception concerning user acceptance or to understand the user (types of users and behaviour patterns) and the implication of service design better. The insights assist in considering explicitly the user acceptance in the design of a mobile service.

IS offshoring has become one of the most discussed phenomena in IS research and practice. Particularly due to its rapid evolvement, current research on IS offshoring lacks a consolidated view on existing results. The article at hand seeks to meet this need by systematically reviewing and analyzing prior academic literature on IS offshoring. Based on a review of top-ranked IS and management journals as well as IS conference proceedings, we compile an exhaustive bibliography of ninety-six publications solely focusing on IS offshoring from a (project) management perspective. To adequately address the immense diversity of these publications, a multi-perspective research framework consisting of three perspectives, namely, research focus, research approach, and reference theory, is introduced and forms the basis for our literature analysis. The analysis results confirm the appropriateness of our framework and reveal directions for future research along the framework perspectives: Most importantly, in an effort to increase the significance and the trustworthiness of their results, researchers should apply a more theory-driven approach and provide a better description of their research context. Moreover, future research needs to pay particular attention to the pre-implementation stages of an IS offshoring initiative as well as the special nature of nearshoring and captive offshoring. Across all project stages, researchers should not only concentrate on the client point of view but incorporate multiple points of view.

Access to this document was granted through an Emerald subscription provided by FRIEDRICH ALEXANDER UNIVERSITAET ERLANGEN NUERNBERG For Authors: If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service. Information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comWith over forty years' experience, Emerald Group Publishing is a leading independent publisher of global research with impact in business, society, public policy and education. In total, Emerald publishes over 275 journals and more than 130 book series, as well as an extensive range of online products and services. Emerald is both COUNTER 3 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.*Related content and download information correct at time of download.E-business models and consumer expectations for digital audio distribution Michael Amberg and Manuela SchröderUniversity of Erlangen-Nuremberg, Nuremberg, GermanyAbstract Purpose -The purpose of this paper is to aim to evaluate to what extent present e-business models for digital audio distribution meet the consumer's expectations. Design/methodology/approach -The research method in this paper is particularly based on two empirical studies. In the first study, the supplier side was examined. In this context, 15 e-business models in the German music market were identified, classified according to two criteria (type of compensation and dependency on the supplier or its technology) and analysed with regard to four aspects "type and volume of content", "price of content", "rights of use", and "additional services". To evaluate the identified e-business models, the consumer expectations for digital audio distribution were analysed in a second study. Finally, the results of both studies were compared. Findings -The paper finds that most of the identified e-business models do not meet all of the fundamental consumer expectations. Either the identified category of e-business models and its characteristics (e.g. dependency on technology) lead to a conflict with regard to the expectations of the consumers, or the implemented e-business models reveal discrepancies between the concrete offer and the demand.Research limitations/implications -The results in the paper are limited to e-business models for digital audio distribution in the German music market.Practical implications -The paper shows that, in order to reach more consumers, most of the existing e-business models have to be modified. Originality/value -Based on two empirical studies, this paper presents the state-of-the-art of the digital audio distribution in Germany and systematically identifies gaps between the demand and the supply side of digital audio content.

Currently, explainability represents a major barrier that Artificial Intelligence (AI) is facing in regard to its practical implementation in various application domains. To combat the lack of understanding of AI-based systems, Explainable AI (XAI) aims to make black-box AI models more transparent and comprehensible for humans. Fortunately, plenty of XAI methods have been introduced to tackle the explainability problem from different perspectives. However, due to the vast search space, it is challenging for ML practitioners and data scientists to start with the development of XAI software and to optimally select the most suitable XAI methods. To tackle this challenge, we introduce XAIR, a novel systematic metareview of the most promising XAI methods and tools. XAIR differentiates itself from existing reviews by aligning its results to the five steps of the software development process, including requirement analysis, design, implementation, evaluation, and deployment. Through this mapping, we aim to create a better understanding of the individual steps of developing XAI software and to foster the creation of real-world AI applications that incorporate explainability. Finally, we conclude with highlighting new directions for future research.

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The paper describes a pattern-oriented approach to evaluate modeling methods and to compare various methods with each other from a methodical viewpoint A specific set of principles (the patterns) is defined by investigating the notations and the documentation of comparable modeling methods. Each principle helps to examine some parts of the methods from a specific point of view. All principles together lead to an overall picture of the method under examination. First the core ("method neutral") meaning of each principle is described. Then the methods are examined regarding the principle. Afterwards the method specific interpretations are compared with each other and with the core meaning of the principle. By this procedure, the strengths and weaknesses of modeling methods regarding methodical aspects are identified. The principles are described uniformly using a principle description template according to descriptions of object-oriented design patterns. The approach is demonstrated by evaluating a business process modeling method.