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Fay, O. Müller, J. vom Brocke, in: European Conference on Information Systems, 2016.","ama":"Fay M, Müller O, vom Brocke J. Disentangling the Relationship Between the Adoption of In-Memory Computing and Firm Performance. In: <i>European Conference on Information Systems</i>. ; 2016.","chicago":"Fay, Maria, Oliver Müller, and Jan vom Brocke. “Disentangling the Relationship Between the Adoption of In-Memory Computing and Firm Performance.” In <i>European Conference on Information Systems</i>, 2016.","ieee":"M. Fay, O. Müller, and J. vom Brocke, “Disentangling the Relationship Between the Adoption of In-Memory Computing and Firm Performance,” presented at the European Conference on Information Systems , 2016.","mla":"Fay, Maria, et al. “Disentangling the Relationship Between the Adoption of In-Memory Computing and Firm Performance.” <i>European Conference on Information Systems</i>, 2016.","apa":"Fay, M., Müller, O., &#38; vom Brocke, J. (2016). Disentangling the Relationship Between the Adoption of In-Memory Computing and Firm Performance. <i>European Conference on Information Systems</i>. European Conference on Information Systems ."},"extern":"1","abstract":[{"lang":"eng","text":"Recent growth in data volume, variety, and velocity led to an increased demand for high-performance data processing and analytics solutions. In-memory computing (IMC) enables organizations to boost their information processing capacity, and is widely acknowledged to be one of the leading strategic technologies in the field of enterprise systems. The majority of technology vendors now have IMC technologies in their portfolio, and the interest of companies in adopting such solutions in order to benefit from big data is increasing. Although there is first research on the business value of IMC in the form of case studies, there is a lack of large-scale quantitative evidence on the positive effect of such solutions on firm performance. Based on a unique panel data set of IMC adoption information and financial firm performance data for a sample of companies from the Fortune 500 list this study aims at explaining the relationship between the adoption of IMC solutions and firm performance. In this research-in-progress paper we discuss the theoretical background of our work, describe the proposed research design, and develop five hypotheses for later testing. Our work aims at contributing to the research streams on IT business value and business analytics by helping to better understand the nature of the interdependencies between IMC adoption and firm performance. "}]},{"date_created":"2020-06-17T11:12:33Z","type":"conference","department":[{"_id":"196"}],"publication":"European Conference on Information Systems","citation":{"apa":"Schmiedel, T., Müller, O., Debortoli, S., &#38; vom Brocke, J. (2016). Identifying and quantifying cultural factors that matter to the IT workforce: An approach based on automated content analysis. <i>European Conference on Information Systems</i>.","mla":"Schmiedel, Theresa, et al. “Identifying and Quantifying Cultural Factors That Matter to the IT Workforce: An Approach Based on Automated Content Analysis.” <i>European Conference on Information Systems</i>, 2016.","ieee":"T. Schmiedel, O. Müller, S. Debortoli, and J. vom Brocke, “Identifying and quantifying cultural factors that matter to the IT workforce: An approach based on automated content analysis,” 2016.","short":"T. Schmiedel, O. Müller, S. Debortoli, J. vom Brocke, in: European Conference on Information Systems, 2016.","ama":"Schmiedel T, Müller O, Debortoli S, vom Brocke J. Identifying and quantifying cultural factors that matter to the IT workforce: An approach based on automated content analysis. In: <i>European Conference on Information Systems</i>. ; 2016.","chicago":"Schmiedel, Theresa, Oliver Müller, Stefan Debortoli, and Jan vom Brocke. “Identifying and Quantifying Cultural Factors That Matter to the IT Workforce: An Approach Based on Automated Content Analysis.” In <i>European Conference on Information Systems</i>, 2016.","bibtex":"@inproceedings{Schmiedel_Müller_Debortoli_vom Brocke_2016, title={Identifying and quantifying cultural factors that matter to the IT workforce: An approach based on automated content analysis}, booktitle={European Conference on Information Systems}, author={Schmiedel, Theresa and Müller, Oliver and Debortoli, Stefan and vom Brocke, Jan}, year={2016} }"},"abstract":[{"text":"Organizational culture represents a key success factor in highly competitive environments, such as, the IT sector. Thus, IT companies need to understand what makes up a culture that fosters employee performance. While existing research typically uses self-report questionnaires to study the relation of culture and the success of companies, the validity of this approach is often discussed and researchers call for new ways of studying culture. Therefore, our research goal is to present an alternative ap-proach to culture analysis for examining which cultural factors matter to the IT workforce. Our study builds on 112,610 online reviews of Fortune 500 IT companies collected from Glassdoor, an online platform on which current and former employees can anonymously review companies and their man-agement. We perform an automated content analysis to identify cultural factors that employees em-phasize in their reviews. Through a regression analysis on numerical employee satisfaction ratings, we find that a culture of learning and performance orientation contributes to employee motivation, while a culture of assertiveness and gender inegalitarianism has a strong negative influence on em-ployees’ satisfaction in the IT workforce. Future research can apply our approach as an alternative method to quantifying culture and its impact on other variables.","lang":"eng"}],"extern":"1","main_file_link":[{"url":"https://aisel.aisnet.org/ecis2016_rp/177/"}],"language":[{"iso":"eng"}],"_id":"17102","user_id":"72849","status":"public","title":"Identifying and quantifying cultural factors that matter to the IT workforce: An approach based on automated content analysis","year":"2016","author":[{"full_name":"Schmiedel, Theresa","last_name":"Schmiedel","first_name":"Theresa"},{"first_name":"Oliver","last_name":"Müller","full_name":"Müller, Oliver","id":"72849"},{"first_name":"Stefan","last_name":"Debortoli","full_name":"Debortoli, Stefan"},{"first_name":"Jan","last_name":"vom Brocke","full_name":"vom Brocke, Jan"}],"date_updated":"2022-08-17T07:24:18Z"}]