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Business & Information Systems Engineering

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18.02.2022 | Discussion

Values and Ethics in Information Systems

A State-of-the-Art Analysis and Avenues for Future Research

verfasst von: Sarah Spiekermann, Hanna Krasnova, Oliver Hinz, Annika Baumann, Alexander Benlian, Henner Gimpel, Irina Heimbach, Antonia Köster, Alexander Maedche, Björn Niehaves, Marten Risius, Manuel Trenz

Erschienen in: Business & Information Systems Engineering | Ausgabe 2/2022

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Sarah Spiekermann, Hanna Krasnova and Oliver Hinz …

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Abramova O, Wagner A, Krasnova H, Buxmann P (2017) Understanding self-disclosure on social networking sites - a literature review. In: 22nd Americas conference on information systems. Boston, pp 1–10

AbuJarour S, Krasnova H (2017) Understanding the role of ICTs in promoting social inclusion: the case of Syrian refugees in Germany. In: Proceedings of the 25th European conference on information systems. Guimarães, pp 1792–1806

AbuJarour S, Köster A, Krasnova H, Wiesche M (2021) Technology as a source of power: exploring how ICT use contributes to the social inclusion of refugees in Germany. In: Proceedings of the 54th Hawaii international conference on system sciences. A virtual AIS conference, pp 2637–2646

Acxiom (2018) Annual Report 2018. In: Annu. Rep. https://www.annualreports.com/HostedData/AnnualReports/PDF/NASDAQ_ACXM_2018.pdf. Accessed 19 Nov 2021

Adam M, Werner D, Wendt C, Benlian A (2020) Containing COVID-19 through physical distancing: the impact of real-time crowding information. Eur J Inf Syst 29:595–607. https://doi.org/10.1080/0960085X.2020.1814681CrossRef

Agogo D (2020) Invisible market for online personal data: an examination. Electron Mark. https://doi.org/10.1007/s12525-020-00437-0CrossRef

Allcott H, Gentzkow M (2017) Social media and fake news in the 2016 election. J Econ Perspect 31:211–236CrossRef

Allcott H, Braghieri L, Eichmeyer S, Gentzkow M (2020) The welfare effects of social media. Am Econ Rev 110:629–676. https://doi.org/10.1257/aer.20190658CrossRef

Aristotle (2000) Nichomachean Ethics. Cambridge University Press, CambridgeCrossRef

Anderson M, Anderson SL (2011) Machine ethics. Cambridge University Press, New YorkCrossRef

Appel M, Marker C, Gnambs T (2020) Are social media ruining our lives? A review of meta-analytic evidence. Rev Gen Psychol 24:60–74CrossRef

Apuke OD, Omar B (2021) Fake news and COVID-19: modelling the predictors of fake news sharing among social media users. Telemat Inform 56:101475CrossRef

Awad E, Dsouza S, Kim R et al (2018) The Moral Machine experiment. Nature 563:59–64. https://doi.org/10.1038/s41586-018-0637-6CrossRef

Bao C, Bardhan IR, Signh H et al (2020) Patient-provider engagement and its impact on health outcomes: a longitudinal study of patient portal use. MIS Q 44:699–723CrossRef

Barberá P, Jost JT, Nagler J et al (2015) Tweeting from left to right: is online political communication more than an echo chamber? Psychol Sci 26:1531–1542. https://doi.org/10.1177/0956797615594620CrossRef

Baum K, Köster A, Krasnova H, Tarafdar M (2020) Living in a world of plenty? How social network sites use distorts perceptions of wealth inequality. In: Proceedings of the 28th European Conference on Information Systems. A virtual AIS conference, pp 1–16

Benbasat I, Wang W (2005) Trust in and adoption of online recommendation agents. J Assoc Inf Syst 6:72–101

Benlian A (2020) A daily field investigation of technology-driven stress spillovers from work to home. MIS Q 44:1259–1300. https://doi.org/10.25300/MISQ/2020/14911CrossRef

Beyens I, Pouwels J, van Driel II et al (2020) Social media use and adolescents’ well-being: developing a typology of person-specific effect patterns. Commun Res. https://doi.org/10.1177/00936502211038196CrossRef

Bimpikis K, Crapis D, Tahbaz-Salehi A (2019) Information sale and competition. Manag Sci 65:2646–2664. https://doi.org/10.1287/mnsc.2018.3068CrossRef

Bolier L, Haverman M, Westerhof GJ et al (2013) Positive psychology interventions: a meta-analysis of randomized controlled studies. BMC Public Health 13:1–20. https://doi.org/10.1186/1471-2458-13-119CrossRef

Brailovskaia J, Ströse F, Schillack H, Margraf J (2020) Less Facebook use – more well-being and a healthier lifestyle? An experimental intervention study. Comput Hum Behav 108:106332. https://doi.org/10.1016/j.chb.2020.106332CrossRef

Brandtzaeg PB, Følstad A, Chaparro Domínguez MÁ (2018) How journalists and social media users perceive online fact-checking and verification services. J Pract 12:1109–1129. https://doi.org/10.1080/17512786.2017.1363657CrossRef

Brennen JS, Nielsen RK (2020) COVID–19 has intensified concerns about misinformation. Here’s what our past research says about these issues. In: Reuters Inst. https://reutersinstitute.politics.ox.ac.uk/risj-review/covid-19-has-intensified-concerns-about-misinformation-heres-what-our-past-research. Accessed 19 Nov 2021

Bright LF, Kleiser SB, Grau SL (2015) Too much Facebook? An exploratory examination of social media fatigue. Comput Hum Behav 44:148–155. https://doi.org/10.1016/j.chb.2014.11.048CrossRef

Bringula RP, Catacutan AE, Garcia MB et al (2021) “Who is gullible to political disinformation?” Predicting susceptibility of university students to fake news. J Inf Technol Polit. https://doi.org/10.1080/19331681.2021.1945988CrossRef

Bryanov K, Vziatysheva V (2021) Determinants of individuals’ belief in fake news: a scoping review determinants of belief in fake news. PLoS ONE 16:e0253717. https://doi.org/10.1371/journal.pone.0253717CrossRef

Burrell J (2016) How the machine ‘thinks’: Understanding opacity in machine learning algorithms. Big Data Soc 3:1–12. https://doi.org/10.1177/2053951715622512CrossRef

Burton-Jones A, Volkoff O (2017) How can we develop contextualized theories of effective use? A demonstration in the context of community-care electronic health records. Inf Syst Res 28:468–489CrossRef

Califf CB, Sarker S, Sarker S (2020) The bright and dark sides of technostress: a mixed-methods study involving healthcare IT. MIS Q 44:809–856. https://doi.org/10.25300/MISQ/2020/14818CrossRef

Callahan D (1973) The WHO definition of ‘health.’ Hastings Cent Stud 1:77–87CrossRef

Calvillo DP, Garcia RJB, Bertrand K, Mayers TA (2021) Personality factors and self-reported political news consumption predict susceptibility to political fake news. Personal Individ Differ 174:110666. https://doi.org/10.1016/j.paid.2021.110666CrossRef

Calvo RA, Peters D (2014) Positive computing: technology for well-being and human potential. MIT Press, CambridgeCrossRef

Carlson A (2017) The need for transparency in the age of predictive sentencing algorithms. Iowa Law Rev 103:303–329

Chen A, Karahanna E (2018) Life interrupted: the effects of technology-mediated work interruptions on work and nonwork outcomes. MIS Q 42:1023–1042. https://doi.org/10.25300/MISQ/2018/13631CrossRef

Chen L, Baird A, Straub DW (2019) An analysis of the evolving intellectual structure of health information systems research in the information systems discipline. J Assoc Inf Syst 20:1023–1074

Cheng J-Z, Ni D, Chou Y-H et al (2016) Computer-aided diagnosis with deep learning architecture: applications to breast lesions in US images and pulmonary nodules in CT scans. Sci Rep 6:24454. https://doi.org/10.1038/srep24454CrossRef

Choi JK, Ji YG (2015) Investigating the importance of trust on adopting an autonomous vehicle. Int J Hum-Comput Interact 31:692–702. https://doi.org/10.1080/10447318.2015.1070549CrossRef

Clarke R (1994) The digital persona and its application to data surveillance. Inf Soc 10:77–92CrossRef

Clarke J, Chen H, Du D, Hu YJ (2020) Fake news, investor attention, and market reaction. Inf Syst Res 32(1):35–52CrossRef

Conway M (2017) Determining the role of the internet in violent extremism and terrorism: six suggestions for progressing research. Stud Confl Terror 40:77–98. https://doi.org/10.1080/1057610X.2016.1157408CrossRef

Conway M, Macdonald S (2019) Introduction to the special issue: Islamic state’s online activity and responses, 2014–2017. Stud Confl Terror 42:1–4CrossRef

Cowgill B (2018) The impact of algorithms on judicial discretion: evidence from regression discontinuities. Working Paper

Crockett MJ (2017) Moral outrage in the digital age. Nat Hum Behav 1:769–771CrossRef

Cunningham S, Hudson CC, Harkness K (2021) Social media and depression symptoms: a meta-analysis. Res Child Adolesc Psychopathol 49:241–253CrossRef

Curchod C, Patriotta G, Cohen L, Neysen N (2020) Working for an algorithm: power asymmetries and agency in online work settings. Adm Sci Q 65:644–676CrossRef

Davenport T, Beck J (2001) The attention economy: understanding the new currency of business. Harvard Business Review Press, Boston

Demirci K, Akgönül M, Akpinar A (2015) Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students. J Behav Addict 4:85–92. https://doi.org/10.1556/2006.4.2015.010CrossRef

Deng X, Joshi KD, Galliers RD (2016) The duality of empowerment and marginalization in microtask crowdsourcing: giving voice to the less powerful through value sensitive design. MIS Q 40:279–302CrossRef

Diener E (1984) Subjective well-being. Psychol Bull 95:542–575. https://doi.org/10.1037/0033-2909.95.3.542CrossRef

Diener E, Suh EM, Lucas RE, Smith HL (1999) Subjective well-being: three decades of progress. Psychol Bull 125:276–302. https://doi.org/10.1037/0033-2909.125.2.276CrossRef

Dietvorst BJ, Simmons JP, Massey C (2015) Algorithm aversion: people erroneously avoid algorithms after seeing them err. J Exp Psychol Gen 144:114–126. https://doi.org/10.1037/xge0000033CrossRef

Dinev T, McConnell AR, Smith HJ (2015) Research commentary – informing privacy research through information systems, psychology, and behavioral economics: thinking outside the “APCO” box. Inf Syst Res 26:639–655CrossRef

Ellison NB, Steinfield C, Lampe C (2007) The benefits of Facebook “friends:” social capital and college students’ use of online social network sites. J Comput-Mediat Commun 12:1143–1168. https://doi.org/10.1111/j.1083-6101.2007.00367.xCrossRef

Ensign D, Friedler S, Neville S, et al (2017) Runaway feedback loops in predictive policing. ArXiv Prepr. ArXiv170609847

Eubanks V (2018) Automating inequality: how high-tech tools profile, police, and punish the poor. St. Martin’s, New York

Facebook (2021) Facebook ad center, detailed targeting options. In: Facebook. https://www.facebook.com/ad_center/create/pagead/?entry_point=fb4b_create_ad_cta&page_id=864331173712397. Accessed 21 Aug 2021

Faelens L, Hoorelbeke K, Soenens B et al (2021) Social media use and well-being: a prospective experience-sampling study. Comput Hum Behav 114:106510CrossRef

Felmingham CM, Adler NR, Ge Z et al (2021) The importance of incorporating human factors in the design and implementation of artificial intelligence for skin cancer diagnosis in the real world. Am J Clin Dermatol 22:233–242. https://doi.org/10.1007/s40257-020-00574-4CrossRef

Felzmann H, Villaronga E, Lutz C, Tamò-Larrieux A (2019) Transparency you can trust: transparency requirements for artificial intelligence between legal norms and contextual concerns. Big Data Soc 6:1–14. https://doi.org/10.1177/2053951719860542CrossRef

Fisher A, Prucha N, Winterbotham E (2019) Mapping the Jihadist information ecosystem: towards the next generation of disruption capability. Royal United Services Institute for Defence and Security Studies, London

Frankena WK (1973) Ethics, 2nd edn. Prentice Hall, Englewood Cliffs

Frauenberger C, Good J, Fitzpatrick G, Iversen OS (2015) In pursuit of rigour and accountability in participatory design. Int J Hum-Comput Stud 74:93–106. https://doi.org/10.1016/j.ijhcs.2014.09.004CrossRef

Freude H, Heger O, Niehaves B (2019) Unveiling emotions: attitudes towards affective technology. In: Proceedings of the 40th International conference on information systems. Munich, pp 1–18

Friedman B, Kahn P (2003) Human values, ethics, and design. In: Jacko J, Sears A (eds) The Human-computer interaction handbook. Lawrence Erlbaum, Mahwah

Fruhwirth M, Rachinger M, Prlja E (2020) Discovering business models of data marketplaces. In: Proceedings of the 53rd Hawaii international conference on system sciences. Hawaii, pp 5736–5747

Gimpel H, Schröder J (eds) (2021) Hospital 4.0: Schlanke, digital-unterstützte Logistikprozesse in Krankenhäusern. Springer, Wiesbaden

Gimpel H, Lanzl J, Regal C et al (2019) Gesund digital arbeiten?! Eine Studie zu digitalem Stress in Deutschland. Projektgruppe Wirtschaftsinformatik des Fraunhofer FIT, Augsburg

Gimpel H, Manner-Romberg T, Schmied F, Winkler TJ (2021) Understanding the evaluation of mHealth app features based on a cross-country Kano analysis. Electron Mark Online Ahead Print. https://doi.org/10.1007/s12525-020-00455-yCrossRef

Gimpel H, Schmied F (2019) Risks and side effects of digitalization: a multi-level taxonomy of the adverse effects of using digital technologies and media. In: Proceedings of the 27th European conference on information systems. Stockholm, pp 1–15

Gkatzelis V, Aperjis C, Huberman BA (2015) Pricing Private Data Electron Mark 25:109–123. https://doi.org/10.1007/s12525-015-0188-8CrossRef

Glikson E, Woolley AW (2020) Human trust in artificial intelligence: review of empirical research. Acad Manag Ann 14:627–660. https://doi.org/10.5465/annals.2018.0057CrossRef

große Deters F, Mehl MR, (2013) Does posting Facebook status updates increase or decrease loneliness? An online social networking experiment. Soc Psychol Personal Sci 4:579–586. https://doi.org/10.1177/1948550612469233CrossRef

HLEG of the EU Commission (2020) Assessment list for trustworthy AI (ALTAI). Brussels

Hosseini M, Shahri A, Phalp K, Ali R (2018) Four reference models for transparency requirements in information systems. Requir Eng 23:251–275CrossRef

Hou Y, Xiong D, Jiang T et al (2019) Social media addiction: its impact, mediation, and intervention. Cyberpsychol J Psychosoc Res Cyberspace 13(1):4. https://doi.org/10.5817/CP2019-1-4CrossRef

Huang C (2017) Time spent on social network sites and psychological well-being: a meta-analysis. Cyberpsychol Behav Soc Netw 20:346–354CrossRef

Huang Q, Li Y, Huang S et al (2020) Smartphone use and sleep quality in Chinese college students: a preliminary study. Front Psychiatry 11:352. https://doi.org/10.3389/fpsyt.2020.00352CrossRef

IEEE. (2021). IEEE 7000 - Model process for addressing ethical concerns during system design. In. Piscataway: IEEE computer society. https://engagestandards.ieee.org/ieee-7000-2021-for-systems-design-ethical-concerns.html. Accessed 19 Nov 2021

Jakobi T, von Grafenstein M, Legner C et al (2020) The role of IS in the conflicting interests regarding GDPR. Bus Inf Syst Eng 62:261–272. https://doi.org/10.1007/s12599-020-00633-4CrossRef

Jobin A, Ienca M, Vayena E (2019) The global landscape for AI ethics guidelines. Nat Mach Intell 1:389–399CrossRef

Jussupow E, Benbasat I, Heinzl A (2020) Why are we averse towards Algorithms? A comprehensive literature review on algorithm aversion. In: Proceedings of the 28th European Conference on Information Systems. A virtual AIS conference, pp 1–16

Kahneman D, Diener E, Schwarz N (eds) (1999) Well-being: foundations of hedonic psychology. Russell Sage

Kanno-Youngs Z, Sanger DE (2021) Extremists emboldened by Capitol attack pose rising threat, Homeland Security says. N. Y. Times. https://www.nytimes.com/2021/01/27/us/politics/homeland-security-threat.html. Accessed 19 Nov 2021

Karwatzki S, Trenz M, Tuunainen VK, Veit D (2017) Adverse consequences of access to individuals’ information: an analysis of perceptions and the scope of organisational influence. Eur J Inf Syst 26:688–715. https://doi.org/10.1057/s41303-017-0064-zCrossRef

Kastl J, Pagnozzi M, Piccolo S (2018) Selling information to competitive firms. RAND J Econ 49:254–282. https://doi.org/10.1111/1756-2171.12226CrossRef

Kellogg KC, Valentine MA, Christin A (2020) Algorithms at work: the new contested terrain of control. Acad Manag Ann 14:366–410CrossRef

Keyes CLM (1998) Social well-being. Soc Psychol Q 61:121–140. https://doi.org/10.2307/2787065CrossRef

Kilger M (1994) The digital individual. Inf Soc 10:93–99CrossRef

Kim A, Dennis AR (2019) Says who? The effects of presentation format and source rating on fake news in social media. MIS Q 43:1025–1039CrossRef

Kim JW, Ryu B, Cho S et al (2019) Impact of personal health records and wearables on health outcomes and patient response: three-arm randomized controlled trial. JMIR MHealth UHealth 7:e12070CrossRef

Kim TW, Routledge BR (2018) Informational privacy, a right to explanation, and interpretable AI. In: 2018 IEEE symposium on privacy-aware computing. pp 64–74

Kirchhof G, Lindner JF, Achenbach S et al (2018) Stratified prevention: opportunities and limitations. Clin Res Cardiol 107:193–200CrossRef

Kitchens B, Johnson SL, Gray P (2020) Understanding echo chambers and filter bubbles: the impact of social media on diversification and partisan shifts in news consumption. MIS Q 44:1–32CrossRef

Kizilcec RF (2016) How much information? Effects of transparency on trust in an algorithmic interface. In: Proceedings of the 2016 CHI conference on human factors in computing systems. pp 2390–2395

Klein AZ, Magge A, O’Connor K et al (2021) Toward using Twitter for tracking COVID-19: a natural language processing pipeline and exploratory data set. J Med Internet Res 23:e25314CrossRef

Kleinberg J, Lakkaraju H, Leskovec J et al (2017) Human decisions and machine predictions. Q J Econ 133:237–293

Koroleva K, Krasnova H, Veltri NF, Günther O (2011) It’s all about networking! Empirical investigation of social capital formation on social network sites. In: International conference on information systems. Shanghai, pp 1–20

Krämer J, Schnurr D, Wohlfarth M (2019) Winners, losers, and Facebook: the role of social logins in the online advertising ecosystem. Manag Sci 65:1678–1699. https://doi.org/10.1287/mnsc.2017.3012CrossRef

Krasnova H, Abramova O, Baumann A, Notter I (2016) Why phubbing is toxic for your relationship: understanding the role of smartphone jealousy among “Generation Y” users. In: European conference on information systems. İstanbul, pp 1–20

Kross E, Verduyn P, Demiralp E et al (2013) Facebook use predicts declines in subjective well-being in young adults. PLoS ONE 8:e69841. https://doi.org/10.1371/journal.pone.0069841CrossRef

Kross E, Verduyn P, Sheppes G et al (2021) Social media and well-being: pitfalls, progress, and next steps. Trends Cogn Sci 25:55–66CrossRef

Laato S, Islam AN, Islam MN, Whelan E (2020) What drives unverified information sharing and cyberchondria during the COVID-19 pandemic? Eur J Inf Syst 29:288–305CrossRef

Lambrecht A, Tucker C (2019) Algorithmic bias? An empirical study of apparent gender-based discrimination in the display of stem career ads. Manag Sci 65:2966–2981CrossRef

Lazer D (2015) The rise of the social algorithm. Science 348:1090–1091. https://doi.org/10.1126/science.aab1422CrossRef

Lazer DM, Baum MA, Benkler Y et al (2018) The science of fake news. Science 359:1094–1096CrossRef

Lee MK (2018) Understanding perception of algorithmic decisions: fairness, trust, and emotion in response to algorithmic management. Big Data Soc 5:1–16. https://doi.org/10.1177/2053951718756684CrossRef

Lepp A, Barkley JE, Karpinski AC (2014) The relationship between cell phone use, academic performance, anxiety, and satisfaction with life in college students. Comput Hum Behav 31:343–350. https://doi.org/10.1016/j.chb.2013.10.049CrossRef

Levitin A (2003) Introduction to the design & analysis of algorithms. Addison-Wesley

Liberini F, Russo A, Cuevas Á, Cuevas R (2020) Politics in the Facebook era - evidence from the 2016 US presidential elections. Center for Economic Studies and ifo Institute, MunichCrossRef

Liu D, Baumeister RF, Yang C (2019) Digital communication media use and psychological well-being: a meta-analysis. J Comput-Mediat Commun 24:259–274CrossRef

Liv N, Greenbaum D (2020) Deep fakes and memory malleability: false memories in the service of fake news. AJOB Neurosci 11:96–104. https://doi.org/10.1080/21507740.2020.1740351CrossRef

Logg JM, Minson JA, Moore DA (2019) Algorithm appreciation: people prefer algorithmic to human judgment. Organ Behav Hum Decis Process 151:90–103. https://doi.org/10.1016/j.obhdp.2018.12.005CrossRef

Majchrzak A, Markus ML (2012) Technology affordances and constraints in management information systems (MIS). In: Kessler E (ed). Encyclopedia of management theory. Sage, Forthcoming, USA

Mann G, O’Neil C (2016) Hiring algorithms are not neutral, https://hbr.org/2016/12/hiring-algorithms-are-not-neutral. Accessed 21 Aug 2021

Martel C, Pennycook G, Rand DG (2020) Reliance on emotion promotes belief in fake news. Cogn Res Princ Implic 5:47. https://doi.org/10.1186/s41235-020-00252-3CrossRef

Martin K (2019) Ethical implications and accountability of algorithms. J Bus Ethics 160:835–850. https://doi.org/10.1007/s10551-018-3921-3CrossRef

Matook S, Cummings J, Bala H (2015) Are you feeling lonely? The impact of relationship characteristics and online social network features on loneliness. J Manag Inf Syst 31:278–310CrossRef

McAfee A, Brynjolfsson E, Davenport TH et al (2012) Big data: the management revolution. Harv Bus Rev 90:60–68

McKnight DH, Cummings LL, Chervany NL (1998) Initial trust formation in new organizational relationships. Acad Manage Rev 23:473–490CrossRef

McKnight DH, Carter M, Thatcher J, Clay P (2011) Trust in a specific technology. ACM Trans Manag Inf Syst TMIS 2:1–25. https://doi.org/10.1145/1985347.1985353CrossRef

Mei X, Lee H, Diao K (2020) Artificial intelligence-enabled rapid diagnosis of patients with COVID-19. Nat Med 26:1224–1228CrossRef

Melendez S, Pasternack A (2019) Here are the data brokers quietly buying and selling your personal information. In: Fast Co. https://www.fastcompany.com/90310803/here-are-the-data-brokers-quietly-buying-and-selling-your-personal-information. Accessed 20 Jan 2020

Mittelstadt B (2019) Principles alone cannot guaranteee ethical AI. Nat Mach Intell 1:501–507CrossRef

Möhlmann M, Zalmanzon L, Henfridsson O, Gregory RW (2021) Algorithmic management of work on online labor platforms: when matching meets control. MIS Q, Forthcoming

Monar J (2007) Common threat and common response? The EU’s counter-terrorism strategy and its problems. Gov Oppos 42:292–313CrossRef

Montgomery KC (2015) Youth and surveillance in the Facebook era: policy interventions and social implications. Telecommun Policy 39:771–786. https://doi.org/10.1016/j.telpol.2014.12.006CrossRef

Newman J (2020) This AI fact-checking startup is doing what Facebook and Twitter won’t. In: Fast Co. https://www.fastcompany.com/90535520/this-ai-fact-checking-startup-is-doing-what-facebook-and-twitter-wont. Accessed 27 Aug 2021

Nordenfelt L (1993) Quality of life, health and happiness. Averbury, Aldershot

Nouri L, Lorenzo-Dus N, Watkin A-L (2019) Following the whack-a-mole: Britain First’s visual strategy from Facebook to Gab. Royal United Services Institute for Defence and Security Studies, London

Nuraniyah N (2019) The evolution of online violent extremism in Indonesia and the Philippines. Royal United Services Institite for Defence and Security Studies, London

O’Neil C (2016) Weapons of math destruction: how big data increases inequality and threatens democracy. Crown, New York

Obermeyer Z, Powers B, Vogeli C, Mullainathan S (2019) Dissecting racial bias in an algorithm used to manage the health of populations. Sci 366:447–453CrossRef

Parra-Arnau J (2018) Optimized, direct sale of privacy in personal data marketplaces. Inf Sci 424:354–384. https://doi.org/10.1016/j.ins.2017.10.009CrossRef

Parry DA, Davidson BI, Sewall CJ et al (2021) A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use. Nat Hum Behav. https://doi.org/10.1038/s41562-021-01117-5CrossRef

Pasquale F (2015) The black box society: the secret algorithms that control money and information. Harvard University Press, London

Pennycook G, Bear A, Collins ET, Rand DG (2020) The implied truth effect: attaching warnings to a subset of fake news headlines increases perceived accuracy of headlines without warnings. Manag Sci 66:4944–4957. https://doi.org/10.1287/mnsc.2019.3478CrossRef

Pirkkalainen H, Salo M (2016) Two decades of the dark side in the information systems basket: suggesting five areas for future research. In: European conference on information systems. Istanbul, pp 1–16

Polonski V (2018) AI is convicting criminals and determining jail time, but is it fair? https://www.weforum.org/agenda/2018/11/algorithms-court-criminals-jail-time-fair. Accessed 21 Aug 2021

Prahl A, Van Swol L (2017) Understanding algorithm aversion: when is advice from automation discounted? J Forecast 36:691–702. https://doi.org/10.1002/for.2464CrossRef

Qureshi I, Bhatt B, Gupta S, Tiwari AA (2020) Call for papers: Causes, symptoms and consequences of social media induced polarization (SMIP). Inf Syst J 1–11

Rahman HA, Valentine MA (2021) How managers maintain control through collaborative repair: evidence from platform-mediated “Gigs.” Organ Sci 32:1149–1390. https://doi.org/10.1287/orsc.2021.1428CrossRef

Rahwan I, Cebrian M, Obradovich N et al (2019) Machine behaviour. Nature 568:477–486CrossRef

Rai A (2020) Explainable AI: from black box to glass box. J Acad Mark Sci 48:137–141CrossRef

Rimol M (2021) Gartner forecasts global spending on wearable devices to total $81.5 billion in 2021. Gartner, Stamford

Rissler R, Nadj M, Li MX et al (2020) To be or not to be in flow at work: physiological classification of flow using machine learning. IEEE Trans Affect Comput. https://doi.org/10.1109/TAFFC.2020.3045269CrossRef

Rolnick D, Donti PL, Kaack LH, et al (2019) Tackling climate change with machine learning. ArXiv190605433 Cs Stat

Roozenbeek J, Schneider CR, Dryhurst S et al (2020) Susceptibility to misinformation about COVID-19 around the world. R Soc Open Sci 7:201199. https://doi.org/10.1098/rsos.201199CrossRef

Rosenblatt A (2018) Uberland: how algorithms are rewriting the rules of work. University of California Press, OaklandCrossRef

Rudin C (2019) Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead. Nat Mach Intell 1:206–215CrossRef

Ryan RM, Deci EL (2001) On happiness and human potentials: a review of research on hedonic and eudaimonic well-being. Annu Rev Psychol 52:141–166. https://doi.org/10.1146/annurev.psych.52.1.141CrossRef

Ryan RM, Huta V, Deci EL (2008) Living well: a self-determination theory perspective on eudaimonia. J Happiness Stud 9:139–170CrossRef

Ryff CD, Keyes CLM (1995) The structure of psychological well-being revisited. J Pers Soc Psychol 69:719–727. https://doi.org/10.1037/0022-3514.69.4.719CrossRef

Sarker S, Chatterjee S, Xiao X, Elbanna A (2019) The sociotechnical axis of cohesion for the is discipline: its historical legacy and its continued relevance. MIS Q 43:695–720CrossRef

Saunders C, Benlian A, Henfridsson O, Wiener M (2020) IS control and governance. MIS Q Res Curations 1–14

Schaefer KE, Chen JY, Szalma JL, Hancock PA (2016) A meta-analysis of factors influencing the development of trust in automation: implications for understanding autonomy in future systems. Hum Factors 58:377–400CrossRef

Schechner S, Secada M (2019) You give apps sensitive personal information. Then they tell Facebook. In: Wall Str. J. https://www.wsj.com/articles/you-give-apps-sensitive-personal-information-then-they-tell-facebook-11550851636?mod=e2tw. Accessed 19 Nov 2021

Schneier B (2015) Data and Goliath: the hidden battles to collect your data and control your world, reprint. Norton, New York

Schomakers E-M, Lidynia C, Ziefle M (2020) All of me? Users’ preferences for privacy-preserving data markets and the importance of anonymity. Electron Mark 30:649–665. https://doi.org/10.1007/s12525-020-00404-9CrossRef

Schor JB, Attwood-Charles W, Cansoy M et al (2020) Dependence and precarity in the platform economy. Theory Soc 49:833–861CrossRef

Sharma K, Qian F, Jiang H et al (2019) Combating fake news: a survey on identification and mitigation techniques. ACM Trans Intell Syst Technol 10:1–41CrossRef

Shu K, Bhattacharjee A, Alatawi F et al (2020) Combating disinformation in a social media age. Wiley Interdiscip Rev Data Min Knowl Discov 10:1–39CrossRef

Sindermann C, Cooper A, Montag C (2020) A short review on susceptibility to falling for fake political news. Curr Opin Psychol 36:44–48. https://doi.org/10.1016/j.copsyc.2020.03.014CrossRef

Spiekermann S (2021) Value-based Engineering: Prinzipien und Motivation für bessere IT Systeme. Inform Spektrum 44:247–256CrossRef

Spiekermann S, Korunovska J (2017) Towards a value theory for personal data. J Inf Technol 32:62–84. https://doi.org/10.1057/jit.2016.4CrossRef

Spiekermann S, Acquisti A, Böhme R, Hui K-L (2015a) The challenges of personal data markets and privacy. Electron Mark 25:161–167. https://doi.org/10.1007/s12525-015-0191-0CrossRef

Spiekermann S, Böhme R, Acquisti A, Hui K-L (2015b) Personal data markets. Electron Mark 25:91–93. https://doi.org/10.1007/s12525-015-0190-1CrossRef

Spiekermann-Hoff S, Krasnova H, Hinz O (2021) 05/2023 – Technology for humanity. In: Bus Inf Syst Eng. https://www.bise-journal.com/?p=1940

Srivastava SC, Chandra S, Shirish A (2015) Technostress creators and job outcomes: theorising the moderating influence of personality traits. Inf Syst J 25:355–401CrossRef

Statista (2021a) Number of smartphone users worldwide from 2016 to 2023. https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/. Accessed 19 Nov 2021

Statista (2021b) Daily time spent on social networking by internet users worldwide from 2012 to 2020. https://www.statista.com/statistics/433871/daily-social-media-usage-worldwide/. Accessed 19 Nov 2021

Sweeney L (2013) Discrimination in online ad delivery. Queue 11:10–29CrossRef

Tiggemann M, Zaccardo M (2015) Exercise to be fit, not skinny": the effect of fitspiration imagery on women’s body image. Body Image 15:61–67. https://doi.org/10.1016/j.bodyim.2015.06.003CrossRef

Tolmeijer S, Kneer M, Sarasua C et al (2020) Implementations in machine ethics: a survey. ACM Comput Surv 53:6. https://doi.org/10.1145/3419633CrossRef

Trang S, Trenz M, Weiger WH et al (2020) One app to trace them all? Examining app specifications for mass acceptance of contact-tracing apps. Eur J Inf Syst 29:415–428CrossRef

Turel O, Matt C, Trenz M, Cheung CMK (2020) An intertwined perspective on technology and digitised individuals: linkages, needs and outcomes. Inf Syst J 30:929–939CrossRef

Vaghefi I, Lapointe L, Boudreau-Pinsonneault C (2017) A typology of user liability to IT addiction. Inf Syst J 27:125–169CrossRef

Valkenburg PM, Beyens I, van Driel II et al (2021a) Social media use and adolescents’ self-esteem: heading for a person-specific media effects paradigm. J Commun 71:56–78. https://doi.org/10.1093/joc/jqaa039CrossRef

Valkenburg PM, van Driel II, Beyens I (2021) The associations of active and passive social media use with well-being: a critical scoping review. PsyArXiv Prepr. https://doi.org/10.31234/osf.io/j6xqzCrossRef

Vallas S, Schor JB (2020) What do platforms do? Understanding the gig economy. Annu Rev Sociol 46:273–294CrossRef

Vallor S (2016) Technology and the virtues – a philosophical guide to a future worth wanting. Oxford University Press, New YorkCrossRef

van den Broek T, van Veenstra AF (2018) Governance of big data collaborations: how to balance regulatory compliance and disruptive innovation. Technol Forecast Soc Change 129:330–338. https://doi.org/10.1016/j.techfore.2017.09.040CrossRef

van der Aalst W, Hinz O, Weinhardt C (2019) Big digital platforms. Bus Inf Syst Eng 61:645–648CrossRef

van Doorn N (2017) Platform labor: on the gendered and racialized exploitation of low-income service work in the ‘on-demand’ economy. Inf Commun Soc 20:898–914CrossRef

Vanden Abeele MMP (2020) Digital wellbeing as a dynamic construct. Commun Theory 31(4):932–955. https://doi.org/10.1093/ct/qtaa024CrossRef

Vodanovich S, Sundaram D, Myers M (2010) Digital natives and ubiquitous information systems. Inf Syst Res 21:711–723CrossRef

Volz D, Levy R (2021) Social media plays key role for domestic extremism, FBI director says. In: Wall Str. J. https://www.wsj.com/articles/social-media-is-key-amplifier-of-domestic-violent-extremism-wray-says-11618434413. Accessed 15 Oct 2021

Vosoughi S, Roy D, Aral S (2018) The spread of true and false news online. Science 359:1146–1151. https://doi.org/10.1126/science.aap9559CrossRef

Wessels N, Gerlach J, Wagner A (2019) To sell or not to sell – antecedents of individuals’ willingness-to-sell personal information on data-selling platforms. In: Proceedings of the 40th international conference on information systems. Munich, pp 1–17

Westerlund M (2019) The emergence of deepfake technology: a review. Technol Innov Manag Rev 9:39–52. https://doi.org/10.22215/timreview/1282CrossRef

WHO (1948) Constitution of the World Health Organization. World Health Organization, Geneva

Wiener M, Cram WA, Benlian A (2020) Technology-mediated control legitimacy in the gig economy: conceptualization and nomological network. In: Hirschheim R et al (eds) Information systems outsourcing. Progress in IS Springer, Cham

Wiener M, Cram A, Benlian A (2022) Algorithmic control and gig workers: a legitimacy perspective of Uber drivers. Eur J Inf Syst Forthcom. https://doi.org/10.1080/0960085X.2021.1977729CrossRef

Winter C, Neumann P, Meleagrou-Hitchens A et al (2020) Online extremism: research trends in internet activism, radicalization, and counter-strategies. Int J Confl Violence IJCV 14:1–20

Woodford A (2018) Expanding fact-checking to photos and videos – about Facebook. In: Facebook. Accessed 27 Aug 2021

Zellers R, Holtzman A, Rashkin H, et al (2019) Defending against neural fake news. 1–21. arXiv:190512616

Zhang X, Zhang R, Yue WT, Yu Y (2019) What is your data strategy? The strategic interactions in data-driven advertising. In: Proceedings of the 40th International conference on information systems. Munich, pp 1–9

Titel: Values and Ethics in Information Systems
A State-of-the-Art Analysis and Avenues for Future Research
verfasst von: Sarah Spiekermann
Hanna Krasnova
Oliver Hinz
Annika Baumann
Alexander Benlian
Henner Gimpel
Irina Heimbach
Antonia Köster
Alexander Maedche
Björn Niehaves
Marten Risius
Manuel Trenz
Publikationsdatum: 18.02.2022
Verlag: Springer Fachmedien Wiesbaden
Erschienen in: Business & Information Systems Engineering / Ausgabe 2/2022
Print ISSN: 2363-7005
Elektronische ISSN: 1867-0202
DOI: https://doi.org/10.1007/s12599-021-00734-8

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