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The influence of culture on design is reflected in many aspects, such as design creativity, communication within design groups, and individuals' creative performance. Culture has a profound impact on design. For example, studies have identified the positive effect of a higher individualism-collectivism value on design team performance. To examine the influence of individual cultural values on the experience of creativity in ideation, we experimented by recruiting participants from different counties to complete two ideation tasks. Moreover, we collected their cultural values and experiences of creativity through two questionnaires. We also examined the connections between individuals' cultural values and their experiences of creativity in ideation. The results show five correlations between individuals' cultural values and their experiences of creativity when the country setting was a control variable. Recommendations based on the findings include that explorations of cultural influence and the relationship between culture and design or other fields irrelated to the country or society level have to measure individual cultural values (with the country setting as a control variable) instead of adopting country cultural scores. [ABSTRACT FROM AUTHOR]

Taking the lead in artificial intelligence (AI) forms part of the national agenda of several countries. Despite the investment volume of other countries, Germany and the United States are superior in implementing AI applications due to their high number of early adopters. Therefore, one area of interest refers to the adoption of machine learning, as a subfield of AI, from a cultural and organizational perspective. Through qualitative research, this study explores how culture affects the technological, organizational, and environmental (TOE) determinants of machine learning adoption by conducting a comparative case study between Germany and the United States. Based on Hofstede's cultural dimensions and the TOE framework, the results of 21 expert interviews show that distinct cultural characteristics impact the TOE determinants. For instance, the varying extent of uncertainty avoidance results in different technological and environmental approaches. Germany tends to take preparatory actions for data management, while the low index of the United States is reflected in the absence of data protection regulations. By combining the TOE framework with a national culture construct, our study identifies cultural characteristics that influence machine learning adoption and, thus, could serve as a guideline for future cultural research and managerial decisions for machine learning adoption. [ABSTRACT FROM AUTHOR]

This paper proposes an explanatory theory of Information Systems development (ISD) to account for the simultaneous influence of cultural factors from multiple cultural levels on ISD project outcomes. While culture is recognised as an issue in IS initiatives, few studies have considered the role of culture in ISD. Two ISD projects from one organization were cases in this study. Using qualitative data we adopt an interpretive perspective and inductive thematic analysis to illustrate the relevance of culture in the performance of ISD. Additionally, the study reveals the complexity of cultural influences from multiple cultural levels that emerge during ISD. A unique dual focus on the input and the outcomes of ISD performance facilitates insight into the responsive nature of the concepts of "The Doing" and "The Done" that emerge in this study. We discuss our results in relation to relevant theories and theoretical concepts. [ABSTRACT FROM AUTHOR]

Web 2.0 and Social Software revolutionize the knowledge exchange within and between organizations. This is one of the claims consultants and software vendors in the field have made. But have the promises been kept and has evidence been achieved so far, in particular for knowledge management in globally distributed settings? As a starting point, our paper introduces the field of Global Social Knowledge Management (GSKM). We see this area as one of the main research area for future research in the Knowledge Management domain leading to changing practices in organizations. A variety of social software applications have already been seen promising and incorporated into the context of knowledge management (Avram 2006; Zheng and Zheng 2010; Levy 2009). Inter- and intra-organizational micro-blogs (Zhao & Rosson 2009), social networks (DiMicco et al, 2008) or organizational wikis (Levy 2009) are just some examples for potential applications. One main assumption is that social software could bridge the traditional gap between human- and technology orientation (Avram 2006; Fiedler & Welpe 2011). However, there is so far only anecdotal evidence how these applications work in complex, globally distributed organizational settings. We see some initial indications that the field is very promising but it is highly necessary to perform more coordinated research. Within this paper, we present the key issues for GSKM. One of the most important issue is the choice of tools according to goals and processes. To support an adequate choice, we provide a mapping between Social Software, key barriers and knowledge activities. The main research domains related to GSKM are Social Software and Global Knowledge Management. We present a brief review of state of the art research for these domains and focus in detail on Social Software supported knowledge activities. We elaborate on the key barriers for GSKM that affect the usage and adoption of Social Software in KM activities. As one of the first efforts of mapping Social Software to KM, we present a Social Software framework, mapping the major barriers to tools and KM activities. We see this mapping as a crucial step towards finding the right tools for organizations' purposes. With this framework, we emphasize the need to analyze the implications of the global (cultural) influences to the existing and emerging Social Software-supported knowledge activities and processes. The paper is a starting point for discourse on this promising field, outlining the research field of globally distributed Social Software-supported Knowledge Management and discussing current research efforts on the main components. By this paper we intend to contribute towards a research agenda for Global Social Knowledge Management. [ABSTRACT FROM AUTHOR]