@article {2021,
	title = {Hybrid intelligence in business networks},
	journal = {Electronic Markets},
	year = {2021},
	month = {Nov-06-2021},
	issn = {1019-6781},
	doi = {10.1007/s12525-021-00481-4},
	attachments = {https://waim.network/sites/crowston.syr.edu/files/Ebel2021_Article_HybridIntelligenceInBusinessNe.pdf},
	author = {Ebel, Philipp and S{\"o}llner, Matthias and Leimeister, Jan Marco and Crowston, Kevin and de Vreede, Gert-Jan}
}
@article {2020,
	title = {How the FDA regulates AI},
	journal = {Academic Radiology},
	volume = {27},
	year = {2020},
	month = {Jan-01-2020},
	pages = {58 - 61},
	issn = {10766332},
	doi = {10.1016/j.acra.2019.09.017},
	author = {Harvey, H. Benjamin and Gowda, Vrushab}
}
@article {B{\ae}r{\o}e2020,
	title = {How to achieve trustworthy artificial intelligence for health},
	journal = {Bulletin of the World Health Organization},
	volume = {98},
	number = {4},
	year = {2020},
	pages = {257{\textendash}262},
	abstract = {Artificial intelligence holds great promise in terms of beneficial, accurate and effective preventive and curative interventions. At the same time, there is also awareness of potential risks and harm that may be caused by unregulated developments of artificial intelligence. Guiding principles are being developed around the world to foster trustworthy development and application of artificial intelligence systems. These guidelines can support developers and governing authorities when making decisions about the use of artificial intelligence. The HighLevel Expert Group on Artificial Intelligence set up by the European Commission launched the report Ethical guidelines for trustworthy artificial intelligence in 2019. The report aims to contribute to reflections and the discussion on the ethics of artificial intelligence technologies also beyond the countries of the European Union (EU). In this paper, we use the global health sector as a case and argue that the EU{\textquoteright}s guidance leaves too much room for local, contextualized discretion for it to foster trustworthy artificial intelligence globally. We point to the urgency of shared globalized efforts to safeguard against the potential harms of artificial intelligence technologies in health care.},
	issn = {15640604},
	doi = {10.2471/BLT.19.237289},
	author = {B{\ae}r{\o}e, Kristine and Miyata-Sturm, Ainar and Henden, Edmund}
}
@article {Delfanti2020,
	title = {Humanly Extended Automation or the Future of Work Seen through Amazon Patents},
	journal = {Science, Technology, \& Human Values},
	year = {2020},
	pages = {016224392094366},
	abstract = {<p>Amazon{\textquoteright}s projects for future automation contribute to anxieties about the marginalization of living labor in warehousing. Yet, a systematic analysis of patents owned by Amazon suggests that workers are not about to disappear from the warehouse floor. Many patents portray machines that increase worker surveillance and work rhythms. Others aim at incorporating workers{\textquoteright} activities into machinery to rationalize the labor process in an ever more pervasive form of digital Taylorism. Patents materialize the company{\textquoteright}s desire for a technological future in which workers act and sense on behalf of machinery, becoming its living and sensing appendages. In this new relationship, humans extend machinery and its reach. Through the work-in-progress process of reaching increasing levels of automation, Amazon develops new technical foundations that consolidate its power in the digital workplace.</p>},
	issn = {0162-2439},
	doi = {10.1177/0162243920943665},
	url = {http://journals.sagepub.com/doi/10.1177/0162243920943665},
	author = {Delfanti, Alessandro and Frey, Bronwyn}
}
@article {2019,
	title = {Higher education in the age of Artificial Intelligence},
	journal = {Postdigital Science and Education},
	volume = {1},
	year = {2019},
	month = {Jan-04-2019},
	pages = {236 - 239},
	issn = {2524-485X},
	doi = {10.1007/s42438-018-0005-8},
	author = {Sudlow, Brian}
}
@article {2019,
	title = {How 5 data dynamos do their jobs},
	year = {2019},
	url = {https://www.nytimes.com/2019/06/12/reader-center/data-reporting-spreadsheets.html},
	author = {Lindsey Rogers Cook}
}
@book {2019,
	title = {How artificial intelligence and machine learning can impact market design},
	year = {2019},
	pages = {567 - 586},
	publisher = {University of Chicago Press},
	organization = {University of Chicago Press},
	isbn = {9780226613338},
	doi = {10.7208/chicago/9780226613475.003.0023},
	author = {Agrawal, Ajay and Gans, Joshua and Goldfarb, Avi}
}
@article {2019,
	title = {How big data is changing the job market},
	year = {2019},
	url = {https://www.dropbox.com/sh/8sxki5mwikjxlte/AAB6zvW5F0s2FIJ6jUmEW7P-a/Popular\%20press\%20about\%20impacts?dl=0\&preview=How+Big+Data+Is+Changing+the+Job+Market.pdf\&subfolder_nav_tracking=1},
	author = {Editorial Team}
}
@article {2019,
	title = {How frightened should we be of AI ? },
	year = {2019},
	url = {https://www.newyorker.com/books/double-take/sunday-reading-the-rise-of-artificial-intelligence},
	author = {Tad Friend}
}
@conference {2019,
	title = {How May I Help You? {\textendash} State of the Art and Open Research Questions for Chatbots at the Digital Workplace},
	booktitle = {Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences},
	year = {2019},
	publisher = {Hawaii International Conference on System Sciences},
	organization = {Hawaii International Conference on System Sciences},
	isbn = {978-0-9981331-2-6},
	doi = {10.24251/HICSS.2019.013},
	author = {Meyer von Wolff, Raphael and Hobert, Sebastian and Schumann, Matthias}
}
@article {2019,
	title = {How one scientist coped when AI beat him at his life{\textquoteright}s work},
	year = {2019},
	url = {https://www.vox.com/future-perfect/2019/2/15/18226493/deepmind-alphafold-artificial-intelligence-protein-folding},
	author = {Sigal Samuel}
}
@conference {2019,
	title = {How Smart is your Manufacturing? Build Smarter with AI},
	booktitle = {2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)},
	year = {2019},
	pages = {55 - 60},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Milwaukee, WI, USA},
	isbn = {978-1-7281-2607-4},
	doi = {10.1109/COMPSAC.2019.10183},
	author = {Mcmahon, Mike and Mumper, Dale and Ihaza, Mitsuko and Farrar, Dominic}
}
@proceedings {2019,
	title = {How to Streamline AI Application in Government? A Case Study on Citizen Participation in Germany},
	volume = {Lecture Notes in Computer Science 11685},
	year = {2019},
	pages = {233-247},
	publisher = {Springer International Publishing},
	address = {Cham},
	abstract = {Artificial intelligence (AI) technologies are on the rise in almost every aspect of society, business and government. Especially in government, it is of interest how the application of AI can be streamlined: at least, in a controlled environment, in order to be able to evaluate potential (positive and negative) impact. Unfortunately, reuse in development of AI applications and their evaluation results lack interoperability and transferability. One potential remedy to this challenge would be to apply standardized artefacts: not only on a technical level, but also on an organization or semantic level. This paper presents findings from a qualitative explorative case study on online citizen participation in Germany that reveal insights on the current standardization level of AI applications. In order to provide an in-depth analysis, the research involves evaluation of two particular AI approaches to natural language processing. Our findings suggest that standardization artefacts for streamlining AI application exist predominantly on a technical level and are still limited.},
	isbn = {978-3-030-27324-8},
	issn = {0302-9743},
	doi = {10.1007/978-3-030-27325-5},
	author = {Balta, Dian and Kuhn, Peter and Sellami, Mahdi and Kulus, Daniel and Lieven, Claudius and Krcmar, Helmut},
	editor = {Lindgren, Ida and Janssen, Marijn and Lee, Habin and Polini, Andrea and Rodr{\'\i}guez Bol{\'\i}var, Manuel Pedro and Scholl, Hans Jochen and Tambouris, Efthimios}
}
@article {2019,
	title = {Human resource technology disruptions and their implications for human resources management in healthcare organizations},
	journal = {BMC Health Services Research},
	volume = {19},
	year = {2019},
	month = {Jan-12-2019},
	doi = {10.1186/s12913-019-4068-3},
	author = {Tursunbayeva, Aizhan}
}
@article {2019,
	title = {Hybrid Intelligence},
	journal = {Business \& Information Systems Engineering},
	volume = {61},
	year = {2019},
	month = {Jan-10-2019},
	pages = {637 - 643},
	issn = {2363-7005},
	doi = {10.1007/s12599-019-00595-2},
	author = {Dellermann, Dominik and Ebel, Philipp and S{\"o}llner, Matthias and Leimeister, Jan Marco}
}
@article {2018,
	title = {High tech, low growth: Robots and the future of work abstract},
	journal = {Historical Materialism},
	volume = {26},
	year = {2018},
	month = {May-12-2019},
	pages = {3 - 34},
	doi = {10.1163/1569206X-00001745},
	author = {Moody, Kim}
}
@article {2018,
	title = {High-skilled white-collar work? Machines can do that, too},
	year = {2018},
	url = {https://www.nytimes.com/2018/07/07/business/economy/algorithm-fashion-jobs.html},
	author = {Noam Scheiber}
}
@article {2018,
	title = {How cheap labor drives China{\textquoteright}s AI Ambitions},
	year = {2018},
	month = {11/2018},
	keywords = {human and machine intelligence},
	url = {https://www.nytimes.com/2018/11/25/business/china-artificial-intelligence-labeling.html},
	author = {Li Yuan}
}
@article {2018,
	title = {How do machine learning, robotic process automation, and blockchains affect the human factor in business process management? },
	journal = {Communications of the Association for Information Systems},
	year = {2018},
	month = {Jan-01-2018},
	pages = {297 - 320},
	doi = {10.17705/1CAIS.04319},
	author = {Mendling, Jan and Decker, Gero and Hull, Richard and Reijers, Hajo A. and Weber, Ingo}
}
@article {2018,
	title = {How does the digital transformation affect organizations? Key themes of change in work design and leadership},
	journal = {management revu},
	volume = {29},
	year = {2018},
	month = {Jan-01-2018},
	pages = {114 - 138},
	issn = {0935-9915},
	doi = {10.5771/0935-9915-2018-2-114},
	author = {Schwarzm{\"u}ller, Tanja and Brosi, Prisca and Duman, Denis and Welpe, Isabell M.}
}
@article {2018,
	title = {How driverless cars could disrupt the real estate industry},
	year = {2018},
	keywords = {autonomous vehicles},
	url = {https://www.forbes.com/sites/elyrazin/2018/03/11/how-driverless-cars-could-disrupt-the-real-estate-industry/$\#$1595cb8613c1},
	author = {Ely Razin}
}
@article {2018,
	title = {How leaders face the future of work ?},
	volume = {59},
	year = {2018},
	url = {https://sloanreview.mit.edu/article/how-leaders-face-the-future-of-work/},
	author = {Lynda Gratton}
}
@article {2018,
	title = {How machine learning can permanently capture legal expertise and optimize the law firm pyramid},
	journal = {JBEL},
	volume = {11},
	year = {2018},
	abstract = {As the legal industry gradually integrates artificial intelligence (AI) into its practice, the underlying technology continues to advance at a fever pitch. Machine learning platforms arguably represent the pinnacle of AI development, and this technology currently augments and replicates intelligent human tasks in ways never before conceived. The business applications of machine learning are bearing fruit across a spectrum of industries and professions. Yet despite machine learning{\textquoteright}s demonstrated promise, its forays into the legal industry have been uneven. In fact, the most advanced forms of machine learning have been relegated primarily to lower-level attorney tasks such as e-discovery, due-diligence, and legal research and, unfortunately, have yet to be embraced by the upper echelon legal decision-makers and strategists. This article explores this technology{\textquoteright}s underutilization in law and highlights the inroads made by machine learning in other professions such as healthcare. It then provides an illustration of the capacity of machine learning and develops detailed hypotheticals of machine learning{\textquoteright}s potential impact upon several representative areas of high-level legal decision-making, including lateral hiring, litigation strategy development, cost optimization, and overall law firm management. Finally, this article argues that incorporating machine learning will enable firms to permanently capture attorney expertise and develop deep reservoirs of reputational capital as a source of enduring competitive advantage.},
	url = {https://digitalcommons.pepperdine.edu/jbel/vol11/iss2/3/},
	author = {J. Mark Phillips}
}
@article {2018,
	title = {How real is the impact of artificial intelligence? The business information survey 2018},
	journal = {Business Information Review},
	volume = {35},
	year = {2018},
	month = {12/2019},
	pages = {99 - 115},
	keywords = {Artificial Intelligence (AI), blockchain, chatbot, cybersecurity, data economy, data governance, data lakes, data literacy, data quality, data trusts, data value, ethics, information literacy, intelligent virtual agents, machine learning (ML), Robotics},
	issn = {0266-3821},
	doi = {10.1177/0266382118790150},
	url = {http://journals.sagepub.com/doi/10.1177/0266382118790150},
	author = {Carter, Denise}
}
@article {2018,
	title = {How the anthropormorphization of virtual assistants influences user{\textquoteright}s trust},
	journal = {Academy of Management Proceedings},
	volume = {2018},
	year = {2018},
	month = {Jan-08-2018},
	pages = {16328},
	issn = {0065-0668},
	doi = {10.5465/AMBPP.2018.16328abstract},
	author = {Crone, Tim and Shafeie Zargar, Mahmood}
}
@article {2018,
	title = {How to respond to the fourth industrial revolution, or the second information technology revolution? Dynamic new combinations between technology, market, and society through open innovation},
	journal = {Journal of Open Innovation: Technology, Market, and Complexity},
	volume = {4},
	year = {2018},
	month = {Jan-09-2018},
	pages = {21},
	doi = {10.3390/joitmc4030021},
	author = {Lee, MinHwa and Yun, JinHyo and Pyka, Andreas and Won, DongKyu and Kodama, Fumio and Schiuma, Giovanni and Park, HangSik and Jeon, Jeonghwan and Park, KyungBae and Jung, KwangHo and Yan, Min-Ren and Lee, SamYoul and Zhao, Xiaofei}
}
@book {2018,
	title = {How unequal? Insights on inequality },
	series = {CEDA {\textendash} the Committee for Economic Development of Australia},
	year = {2018},
	month = {04/2018},
	keywords = {ethics},
	isbn = {0 85801 318 5},
	url = {https://www.ceda.com.au/CEDA/media/General/Publication/PDFs/CEDA-How-unequal-Insights-on-inequality-April-2018-FINAL_WEB.pdf}
}
@article {2018,
	title = {Human and Machine Learning},
	journal = {Computational Economics},
	year = {2018},
	month = {Sep-02-2019},
	issn = {0927-7099},
	doi = {10.1007/s10614-018-9803-z},
	author = {Kao, Ying-Fang and Venkatachalam, Ragupathy}
}
@article {2018,
	title = {Human and smart machine co-learning with brain computer interface},
	journal = {IEEE SMC Magazine},
	volume = {4},
	year = {2018},
	keywords = {human and machine inttelligence},
	url = {https://arxiv.org/abs/1802.06521},
	author = {Chang - Shing Lee and Mei - Hui Wang and Li - Wei Ko and Naoyuki Kubota and Lu - An Lin and Shinya Kitaoka and Yu - Te Wang and Shun - Feng Su}
}
@article {2018,
	title = {Human capital management and future of work; job creation and unemployment: a literature review},
	journal = {OALib},
	volume = {05},
	year = {2018},
	month = {Jan-01-2018},
	pages = {1 - 17},
	issn = {2333-9721},
	doi = {10.4236/oalib.1104859},
	author = {Mukhalipi, Adamson}
}
@article {2017,
	title = {A History of Deep Learning},
	year = {2017},
	url = {https://www.import.io/post/history-of-deep-learning/},
	author = {Andrew Fogg}
}
@article {2017,
	title = {House gets serious about driverless cars},
	year = {2017},
	url = {https://thehill.com/policy/transportation/344141-driverless-car-bill-speeds-through-house},
	author = {Melanie Zanona}
}
@article {2017,
	title = {How AI is streamlining marketing and sales},
	year = {2017},
	month = {06/2017},
	keywords = {AI use cases},
	url = {https://hbr.org/2017/06/how-ai-is-streamlining-marketing-and-sales},
	author = {Brad Power}
}
@article {2017,
	title = { How automation is changing auditing},
	journal = {Journal of Emerging Technologies in Accounting},
	volume = {14},
	year = {2017},
	month = {Jan-03-2017},
	pages = {115 - 122},
	issn = {1554-1908},
	doi = {10.2308/jeta-51730},
	author = {Kokina, Julia and Davenport, Thomas H.}
}
@article {2017,
	title = {How big data is empowering AI and machine learning at scale},
	year = {2017},
	month = {05/2017},
	keywords = {data and analytics},
	url = {https://sloanreview.mit.edu/article/how-big-data-is-empowering-ai-and-machine-learning-at-scale/},
	author = {Randy Bean}
}
@article {2017,
	title = {How can architects adapt to the coming age of AI?},
	year = {2017},
	url = {https://archpaper.com/2017/11/architects-adapt-coming-ai/},
	author = {Phil Bernstein}
}
@article {2017,
	title = {How computers will replace your doctor?},
	year = {2017},
	url = {https://theweek.com/articles/441528/how-computers-replace-doctor},
	author = {Pascal-Emmanuel Gobry}
}
@article {2017,
	title = {How fortune 500 firms are adopting online freelancing platforms},
	year = {2017},
	institution = {University of Oxford},
	url = {https://www.oii.ox.ac.uk/publications/platform-sourcing.pdf},
	author = {Greetje F. Corporaal and Vili Lehdonvirta}
}
@article {2017,
	title = {How is new technology changing job design?},
	journal = {IZA World of Labor},
	year = {2017},
	month = {Jan-01-2017},
	doi = {10.15185/izawol.344},
	author = {Gibbs, Michael}
}
@article {2017,
	title = {How the internet of people will change the future of work},
	journal = {Gale Academic Onefile},
	volume = {40},
	year = {2017},
	publisher = {Human Resource Planning Society},
	type = {People \& Strategy},
	author = {Anna Tavis}
}
@conference {RN30639,
	title = {Huddler: Convening stable and familiar crowd teams despite unpredictable availability},
	booktitle = {Proceedings of the Conference on Computer supported Cooperative Work and Social Media},
	year = {2017},
	type = {Conference Proceedings},
	author = {Salehi, Niloufar and McCabe, Andrew and Valentine, Melissa and Michael S. Bernstein}
}
@article {2017,
	title = {{\textquoteleft}Hypernudge{\textquoteright}: Big Data as a mode of regulation by design},
	journal = {Information, Communication \& Society},
	volume = {20},
	year = {2017},
	month = {Feb-01-2017},
	pages = {118 - 136},
	issn = {1369-118X},
	doi = {10.1080/1369118X.2016.1186713},
	author = {Yeung, Karen}
}
@book {2016,
	title = {Handbook of Science and Technology ConvergenceConvergence-Divergence Process},
	year = {2016},
	pages = {79 - 93},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-07051-3},
	doi = {10.1007/978-3-319-07052-0_11},
	author = {Roco, Mihail C.},
	editor = {Bainbridge, William Sims and Roco, Mihail C.}
}
@article {2016,
	title = {Hire a UR robot - pay for it by the hour},
	year = {2016},
	month = {07/2016},
	keywords = {bots},
	url = {https://blog.universal-robots.com/hire-a-ur-robot-pay-for-it-by-the-hour},
	author = {Mahew Bush}
}
@article {2016,
	title = {How artificial intelligence will redefine management},
	year = {2016},
	month = {11/2016},
	url = {https://hbr.org/2016/11/how-artificial-intelligence-will-redefine-management},
	author = {Vegard Kolbjornsrud and Richard Amico and Robert J. Thomas}
}
@article {2016,
	title = {How technology is changing work and organizations},
	journal = {Annual Review of Organizational Psychology and Organizational Behavior},
	volume = {3},
	year = {2016},
	month = {Sep-03-2017},
	pages = {349 - 375},
	issn = {2327-0608},
	doi = {10.1146/annurev-orgpsych-041015-062352},
	author = {Cascio, Wayne F. and Montealegre, Ramiro}
}
@article {2016,
	title = {How the machine {\textquoteleft}thinks{\textquoteright}: Understanding opacity in machine learning algorithms},
	journal = {Big Data \& Society},
	volume = {3},
	year = {2016},
	month = {May-01-2016},
	pages = {205395171562251},
	issn = {2053-9517},
	doi = {10.1177/2053951715622512},
	author = {Burrell, Jenna}
}
@article {2016,
	title = {Human Interaction With Robot Swarms: A Survey},
	journal = {Transaction on human-machine systems},
	volume = {46},
	year = {2016},
	month = {02/2016},
	pages = {9-26},
	publisher = {IEEE},
	abstract = {Recent advances in technology are delivering robots of reduced size and cost. A natural outgrowth of these advances are systems comprised of large numbers of robots that collaborate autonomously in diverse applications. Research on effective autonomous control of such systems, commonly called swarms, has increased dramatically in recent years and received attention from many domains, such as bioinspired robotics and control theory. These kinds of distributed systems present novel challenges for the effective integration of human supervisors, operators, and teammates that are only beginning to be addressed. This paper is the first survey of human-swarm interaction (HSI) and identifies the core concepts needed to design a human-swarm system. We first present the basics of swarm robotics. Then, we introduce HSI from the perspective of a human operator by discussing the cognitive complexity of solving tasks with swarm systems. Next, we introduce the interface between swarm and operator and identify challenges and solutions relating to human-swarm communication, state estimation and visualization, and human control of swarm. For the latter, we develop a taxonomy of control methods that enable operators to control swarms effectively. Finally, we synthesize the results to highlight remaining challenges, unanswered questions, and open problems for HSI, as well as how to address them in future works.},
	keywords = {Human-robot interaction (HRI), human-swarm interaction (HSI), multi-robot systems, swarm robotics}
}
@article {2016,
	title = {Humans, robots and values},
	journal = {Technology in Society},
	volume = {45},
	year = {2016},
	month = {Jan-05-2016},
	pages = {19 - 28},
	issn = {0160791X},
	doi = {10.1016/j.techsoc.2016.01.002},
	author = {Cockshott, Paul and Renaud, Karen}
}
@article {2015,
	title = {The history of technological anxiety and the future of economic growth: Is this time different? },
	journal = {Journal of Economic Perspectives},
	volume = {29},
	year = {2015},
	month = {Jan-08-2015},
	pages = {31 - 50},
	issn = {0895-3309},
	doi = {10.1257/jep.29.3.31},
	author = {Mokyr, Joel and Vickers, Chris and Ziebarth, Nicolas L.}
}
@article {2015,
	title = {How new digital technologies are making smart people and businesses smarter by automating rote work},
	year = {2015},
	month = {01/2015},
	institution = {Keep Challenging},
	url = {https://www.cognizant.com/whitepapers/the-robot-and-I-how-new-digital-technologies-are-making-smart-people-and-businesses-smarter-codex1193.pdf}
}
@article {RN30644,
	title = {Human-level control through deep reinforcement learning},
	journal = {Nature},
	volume = {518},
	number = {7540},
	year = {2015},
	pages = {529-533},
	type = {Journal Article},
	issn = {0028-0836},
	author = {Mnih, Volodymyr and Kavukcuoglu, Koray and Silver, David and Rusu, Andrei A and Veness, Joel and Bellemare, Marc G and Graves, Alex and Riedmiller, Martin and Fidjeland, Andreas K and Ostrovski, Georg}
}
@article {2015,
	title = {Hybrid human{\textendash}machine information systems: Challenges and opportunities},
	journal = {Computer Networks},
	volume = {90},
	year = {2015},
	month = {Jan-10-2015},
	pages = {5 - 13},
	issn = {13891286},
	doi = {10.1016/j.comnet.2015.05.018},
	author = {Demartini, Gianluca}
}
@article {2014,
	title = {Human-agent collectives},
	journal = {Communications of the ACM},
	volume = {57},
	year = {2014},
	month = {Feb-11-2016},
	pages = {80 - 88},
	issn = {00010782},
	doi = {10.1145/269296510.1145/2629559},
	author = {Jennings, N. R. and Moreau, L. and Nicholson, D. and Ramchurn, S. and Roberts, S. and Rodden, T. and Rogers, A.}
}
@book {2008,
	title = {Handbook of transdisciplinary research},
	year = {2008},
	pages = {427 - 432},
	publisher = {Springer Netherlands},
	organization = {Springer Netherlands},
	address = {Dordrecht},
	isbn = {978-1-4020-6698-6},
	doi = {10.1007/978-1-4020-6699-3_28},
	editor = {Hadorn, Gertrude Hirsch and Hoffmann-Riem, Holger and Biber-Klemm, Susette and Grossenbacher-Mansuy, Walter and Joye, Dominique and Pohl, Christian}
}
@booklet {2008,
	title = {How life imitates chess: Making the right moves-from the board to the boardroom},
	year = {2008},
	publisher = {Random House},
	address = {New York, NY},
	isbn = {0363-0277},
	author = {Kasparov, Garry}
}
@article {2004,
	title = {Handoff strategies in settings with high consequences for failure: lessons for health care operations},
	journal = {International Journal for Quality in Health Care},
	volume = {16},
	year = {2004},
	month = {Jan-04-2004},
	pages = {125 - 132},
	issn = {1353-4505},
	doi = {10.1093/intqhc/mzh026},
	author = {Patterson, E. S.}
}
@book {2003,
	title = {Handbook of psychology work design},
	year = {2003},
	publisher = {John Wiley \& Sons, Inc.},
	organization = {John Wiley \& Sons, Inc.},
	address = {Hoboken, NJ, USA},
	doi = {10.1002/0471264385.wei1217},
	author = {Morgeson, Frederick P. and Campion, Michael A.},
	editor = {Weiner, Irving B.}
}
