Christian Ethics And Embryonic Stem Cell Research

Christian Ethics and Embryonic Stem Cell Research Embryonic stem cell research is important for further development in the medical field. It strongly supports the idea that every life has value, an idea known as human dignity. Human beings are created in the image and likeness of God, and thus, are all equal. The idea of radical equality before God leads us to think no less of someone regardless of their physical appearance, religious beliefs, cultural background, or anything else. It is through virtues such as charity, mercy, and justice that our human dignity is preserved. By living through these virtues and realizing how to effectively instill them within us, we are able to live a virtuous life. This paper argues that although issues involving embryonic stem cell research are controversial, research in this area is typically permissible for further development in the medical field when looking to preserve human dignity. In order to defend this thesis, this paper will be structured into three sections as followed: the description of embryonic stem cell research, the development of a moral lens, and the moral argument and analysis of this case. I. Description of Embryonic Stem Cell Research Stem cells are the master cells of our bodies. They are the cells that build and repair our tissues, organs, and immune system in our body. The National Stem Cell Foundation says that all stem cells have three general properties. First, they are capable of renewing and dividingShow MoreRelatedStem Cell Research Essay1706 Words   |  7 Pagesthe research teams of the EuroStemCell project teach in their educational short film A Stem Cell Story, there are certain stages of development while in the uterus where most of our cells stop dividing and stabilize into a specific kind of cell. They do not mutate throughout our life. These cells are referred to as specialized cells. Once they are damaged or die they cannot regenerate themselves. There is one kind of cell that never specializes during development. They are called stem cells andRead MoreThe Heated Debate Concerning Stem Cell Research Essay examples1237 Words   |  5 PagesStem Cell Research Extraordinary advances in the prevention, diagnosis, and treatment of human diseases is believed, by many experts, to lie behind the curtain of stem cell research. Very few other areas of research have received this much attention from the media, political leaders and various groups and organizations from around the nation. The responsiveness to this issue has been incredible because of the potential of these studies as well as the most controversial aspect of the research;Read MoreEssay about Pros and Cons of Embryonic Stem Cell Research1261 Words   |  6 Pagesagainst Embryonic Stem Cell research mainly because they consider it unethical to use aborted fetuses for research. The two main issues concerning the research are the ethics (Cons) and the benefits (Pros). In any scientific case, ethics must always be considered. But the use of fetuses is something that is of the utmost importance. The costs are generally measured based off of people’s feelings, morals, and know ledge about the subject up for debate. The use of aborted fetuses for stem cell researchRead MoreAn Argument in Favor of Stem Cell Research Essay1507 Words   |  7 Pagesover stem cell research. While supporters of this new field of science tout it’s potential to cure everything from blindness to paralysis, those against stem cell science liken the procedures used by scientists to murder. It is my intention to bring to light the positive benefits of stem cell research as well as counter the claims used by many Pro-life groups who believe the scientists driving this innovative field of study are nothing more than murders. Most scientists agree that embryonic stemRead More The Ethics of Stem Cell Research Essay1005 Words   |  5 Pages While some people might say that stem cell research is immoral and unethical, others believe that it is a magical solution for almost any problem, thus leading to a very controversial issue. Scientists have been searching for years for ways to eradicate incurable diseases and perform other medical procedures that yesterdays technology would not fix. With the rapidly arising, positive research on stem cell technology, the potential that exists to restore any deficiency is in the same way, likelyRead MoreThe Ethics Of Stem Cell1482 Words   |  6 PagesEthic in Stem Cell We have an amazing items in our body called stem cells. Stem cells are cells that have the ability to transform into any type of tissue cell in the human body. After a sperm fertilizes an egg, the cell they form is known as a zygote or a totipotent cell. This cell goes through numerous mitotic divisions and after about four days forms a blastocyst. This blastocyst has an outer layer and an inner layer, part of which is hollow. The outer layer grows to form what will become theRead MoreStem Cell Research : Is It Humane?1686 Words   |  7 Pages2 25 February 2015 Stem-Cell Research--Is it humane? The studying of stem cells is a very controversial issue that has been around since 1998 when the research of the use of embryonic stem cell treatment began. The main issues surrounding the discussion of treating people with life-altering disabilities through the use of these pluripotent cells is the ethicality of the matter and whether or not it is a savage act against a fetus. Many who oppose the use of these stem cells derived from excessRead MoreThe Controversy Of Eugenics And Genetic Engineering1632 Words   |  7 Pageseugenics was used to a radical extreme. It wouldn’t be long, however, for genetics to return to the forefront of scientific research, thanks to the discovery of DNA’s helical structure by James Watson and Francis Crick in 1953 (Pray). This discovery would later lead Watson to assume the first director position for the Human Genome Project, an ambitious international research project started in 1990 that sought to map out the entire human genome, until his departure in 1992 (â€Å"A Brief History†). ThisRead MoreThe Ethics Of Stem Cell Research1557 Words   |  7 Pagesthese outstanding medical advances a self-renewing stem cell that regenerates and gives rise to all cells and tissues of the body was discovered. The controversy of such finding of abilities of stem cell is that they can only be extracted from the human embryo. In order to extort stem cells from the embryo it needs to be aborted. The extraction needs to be done just days after conception or between the fifth and the ninth week. Though s tem cell research has astonishing potential to save many lives dueRead MoreEthical Issues Surrounding Stem Cell Research4683 Words   |  19 PagesIntroduction Stem cell research, one of the most exciting and controversial ethical issues in medicine today, continuously makes headlines with new developments. This topic concerns medical professionals, scientists, ethics forums, and even politicians, but many people do not know what to conclude from the controversy surrounding it. Dr. Elizabeth Crouch1, a genetics professor of the Biomedical Science Department of Texas A M University, argues that it is vital that students entering medicine

Ghosts of the Bomb The Tragedy of the Hibakusha - 994 Words

The radiation that infected the air of Hiroshima and Nagasaki following the first and second nuclear attacks lends a physical manifestation to the idea that Japan was literally haunted by the ghost of the atomic bomb. It is important to acknowledge that the atomic bombs left behind permanent signs of impact that surpassed physical damage; lost in the calculations of casualties and blast radius was the psychological effect experienced by the victims of this unparalleled disaster. A dichotomy of sorts, the bomb appeared in a flash, incomprehensible, alien, and unknown, and left an emotional scar that manifested itself as the concept of the Hibakusha, which is directly translated as â€Å"explosion-affected people.† Through individual examples†¦show more content†¦Hara describes this transformation as â€Å"time [that has] been constantly eyeing me and my fellow victims from a distance, awaiting its chance to drive us mad,† and it is clear that for the Hibakus ha, the struggle to avoid this inevitable descent has already begun . While the two other pieces assigned for this class both touched upon certain elements of the attacks that Hara does not discuss, as a fourth-generation New Yorker who experienced the events of September 11th first hand, I was particularly struck with his portrayal of the ways in which the survivors of widespread disasters are often victims themselves. Much of the language used in the piece recalls New York City in the wake of the attacks: constant physical and emotional reminders of death, silent acknowledgment of shared suffering, and a larger desire to rationalize such irrational tragedy. In this course, we have examined many instances of the physical victims of the attacks, yet it is equally as important to consider the hibakusha, the survivors of the attacks whose lives metaphorically ended (or at least fundamentally changed)on that day as well. The tragedy and destruction of the attacks does not exist only in death tolls and collateral damage; it exists in the lives of those who were lucky enough to survive but not lucky enough to be

Stefan’s Diaries The Craving Chapter 1 Free Essays

I picked out a heartbeat, a single life, in the near distance. The other noises of the city faded into the background as this one called to me. She had wandered away from her friends and left the well-worn paths. We will write a custom essay sample on Stefan’s Diaries: The Craving Chapter 1 or any similar topic only for you Order Now The sun had just set over Central Park, where I’d exiled myself since arriving in New York City fourteen long days ago. The colors in this expanse of wilderness were softening, sliding toward one another, shadows blurring with the things that made them. The oranges and deep blues of the sky morphed into an inky black, while the muddy ground dimmed to a velvety sienna. Around me, most of the world was still, paused in the breath that comes at the end of day when the guards change: Humans and their daylight companions lock their doors and creatures of the night like myself come out to hunt. With the ring Katherine gave me I can walk in the daylight like any normal, living human. But as it’s been since the beginning of time, it’s easier for vampires to hunt during the uncertain hours when day slowly becomes night. Dusk confuses those who aren’t equipped with the eyes and ears of a nocturnal predator. The heartbeat I now pursued began to sound quieter . . . its owner was getting away. Desperate, I took off, forcing my body to move quickly, my feet to push off from the ground. I was weak from lack of feeding, and it was affecting my ability to hunt. Added to that, these woods weren’t familiar to me. The plants and vines were as alien as the people on the cobbled streets a quarter mile away. But a hunter transplanted is still a hunter. I leaped over a twiggy, stunted bush and avoided an icy stream, devoid of the lazy catfish I used to watch as a child, until my foot slipped on mossy stone and I crashed through the underbrush, my chase growing far louder than I intended. The bearer of the heart I followed heard and knew her death was close. Now that she was alone and aware of her plight, she began to run in earnest. What a spectacle I must have made: dark hair askew, skin as pale as a corpse, eyes starting to redden as the vampire in me came out. Running and leaping through the woods like a wild man, dressed in the finery Lexi, my friend in New Orleans, had given me, the white silk shirt now torn at the sleeves. She picked up speed. But I wasn’t going to lose her. My need for blood became an ache so strong that I couldn’t contain myself any longer. A sweet pain bloomed along my jaw and my fangs came out. The blood in my face grew hot as I underwent the change. My senses expanded as my Power took over, sapping my last bit of vampiric strength. I leaped, moving at a speed beyond human and animal. With that instinct all living creatures have, the poor thing felt death closing in and began to panic, scrambling for safety under the trees. Her heart pounded out of control: thump thump thump thump thump thump. The tiny human part of me might have regretted what I was about to do, but the vampire in me needed the blood. With a final jump, I caught my prey – a large, greedy squirrel who’d left her pack to scavenge for extra food. Time slowed as I descended, ripped her neck aside, and sank my teeth into her flesh, draining her life into me one drop at a time. I’d eaten squirrels as a human, which lessened my guilt marginally. Back home in Mystic Falls, my brother and I would hunt in the tangled woods that surrounded our estate. Though squirrels were poor eating for most of the year, they were fat and tasted like nuts in the fall. Squirrel blood, however, was no such feast; it was rank and unpleasant. It was nourishment, nothing more – and barely that. I forced myself to keep drinking. It was a tease, a reminder of the intoxicating liquid that runs in a human’s veins. But from the moment Damon ended Callie’s life, I had sworn off humans forever. I would never kill, never feed from, and never love another human. I could only bring them pain and death, even if I didn’t mean to. That’s what life as a vampire meant. That’s what life with this new, vengeful Damon as my brother meant. An owl hooted in the elm that towered over my head. A chipmunk skittered past my feet. My shoulders slumped as I laid the poor squirrel down on the ground. So little blood remained in its body that the wound didn’t leak, the animal’s legs already growing stiff with rigor mortis. I wiped the traces of blood and fur from my face and headed deeper into the park, alone with my thoughts while a city of nearly a million people buzzed around me. Since I’d sneaked off the train two weeks earlier, I’d been sleeping in the middle of the park in what was essentially a cave. I’d taken to marking a concrete slab with the passing of each day. Otherwise moments blended together, meaningless, and empty. Next to the cave was a fenced-in area where construction men had gathered the â€Å"useful† remains of a village they had razed to make Central Park, as well as the architectural bric-a-brac they intended to install – carved fountains, baseless statues, lintels, thresholds, and even gravestones. I pushed past a barren branch – November’s chill had robbed nearly every tree of its leaves – and sniffed the air. It would rain soon. I knew that both from living in plantation country and from the monster senses that constantly gave me a thousand different pieces of information about the world around me. And then the breeze changed direction, and brought with it the teasing, cloying scent of rust. There it was again. A painful, metallic tang. The smell of blood. Human blood. I stepped into the clearing, my breath coming rapidly. The thick stench of iron was everywhere, filling the hollow with an almost palpable fog. I scanned the area. There was the cave where I spent my tortured nights, tossing and turning and waiting for dawn. Just outside it was a jumble of beams and doors stolen from knocked-down houses and desecrated graves. Farther in the distance there were the glowing white statues and fountains installed around the park. And then I saw it. At the base of a statue of a regal prince was the body of a young woman, her white ball gown slowly turning a bloody red. How to cite Stefan’s Diaries: The Craving Chapter 1, Essay examples

Uses of Big Data in Business Organizations-Free-Samples for Students

Question: Discuss about the Uses of Big Data in Business Organizations. Answer: Introduction In order to run the daily operations of the company, a lot of information is made use of in daily manner. This requires the data to be saved in a proper manner so that it can be used. And in this era of information, huge amount of data needs to be available in a ready manner to make decisions. Big data relates to the data sets which are not just big but are also high in velocity and variety, owing to which, it becomes difficult in handling if the traditional techniques and tools are made use of. In this discussion, the literature which has been published in context of the use of such big data by the companies has been elucidated. Project Objective The key objective of this project is towards identifying the manner in which the big data is used by the organizations. The other objective is to identify the manner in which the organizations have grown to rely upon such big data. Project Scope This discussion would be limited to secondary sources of research where the different literatures would be analysed, in terms of the ones which focus on the use of big data by the organizations. This would help in showing the growing reliance on big data by the companies, along with the looming threat associated with the use of such big data. Literature Review Before carrying out a discussion on how the big data is used by the organizations, there is a need to understand what big data actually refers to. In terms of Manyika el al (2011), it is the amount of data which is just beyond the technologys ability for storing, managing and processing in an efficient manner. TechAmerica Foundation have defined it as a term which is used to define the high-volume, high speed, complex, high-tech and multivariate data for the purpose of capturing, storing, distributing, managing and analysing the information. Gartner and Gursakal have defined big data as the high velocity, variety information and volume of information assets which need new forms of processing in order to be allowed for the enhanced insight discovery, process optimization and decision making (Anandhi and Sekar, 2017). As per Finchman et al. (2014), big data has gained a lot of significance as being a breakthrough in the technological development amongst the academicians, and in views of Chen et al (2012) this is also true for the business communities. Laney (2001) has defined big data the data which is based on huge volumes of broadly varying data which is processed after being generated and captured at high velocity. This makes the processing of such data through the existing technology, a difficult thing to be done (Constantious and Kallinikos, 2015). Through the adoption of analytics technology, the companies can make use of big data for the purpose of developing new and innovative products, services and insights (Davenport et al., 2012). As per Baesens et al (2014), there are a number of opportunities which are presented from the big data analytics for the companies and these are quite important. They have described big data as being the mother lode of the disruptive changes in the business environment which is networked. Through the adoption of the big data technologies, the companies are expected to attain advantages in different domains which include security, health, e-commerce, science and e-government (Chen et al., 2012). The organizations benefit from the perceived values which depend upon their strategic goals for the adoption and use of the big data (Ghoshal et al., 2014). These values are not restricted to the economic values, but also include the economic values as well. The social values which are present for the companies, in views of Cech et al., (2015) include education, in views of Raghupathi and Raghupati (2014) include healthcare, and in views of Newell and Marabelli (2015) includes security and public safety. The governments can also make use of this big data for enhancing transparency, preventing crime and fraud, improving upon the national security, supporting the wellbeing of people through healthcare and education, and increased citizen engagement in public affairs (Kim et al., 2014). As a result of this, the social value consists of the advantages for the single users and the societal benefits like consumer surplus, employment growth and productivity (Loebbecke and Picot, 2015). For an organization, their economic value can be measured through the increase in their competitive advantage, profit and business growth which results from the adoption of big data (Davenport, 2006). The economic value generally covers the monetary benefits which are usually appropriated by the companies. An example of this can be seen in the reliance being made by the organizations for guiding the strategies of the organization and towards the day to day operations of the organization which is expected to give better financial performance for the company in comparison to the other organizations (LaValle et al, 2011). Generally, the big data is deemed as being a source of the new and innovate business opportunities, products and services (Davenport et al., 2012). Apart from this, the big data results in operations being more effective and efficient, and the examples of this include the selection of right people for some jobs and tasks, minimization of quality issues and errors, improved customer relationship, optimization of supply chain flows, and the setting up of the most profitable prices for the services and goods (Davenport, 2006). Apart from this, the economic and social values can be attained from the big data through more informed strategizing and enhanced decision making (Constantiou and Kallinikos, 2015). In the opinion of Clarke (2016), the academic and the practitioner based literatures have a major focus over the opportunities which are provided for the organizations through the big data. Though, extensive publicity and high hopes relating to big data cannot guarantee the attainment of actual value, which could also result in the organizations believing that they can obtain more value from the big data which in reality they can actually realize in practice (Ransbotham et al., 2016). There are different sources of big data and these include the sources from within the company, which includes the transactional data and data from the ERP systems, and the external sources of data include the data offered through third party, open data, sensor data and the user-generated data (Zuboff, 2015). Due to these reasons, the data is often not produced or collected for the same reasons for which it is used in the end (Newell and Marbelli, 2015). On the basis of the granularity and the variety of data, it becomes difficult to predict which insights would be accrued from the different sources in an ex-ante manner (Constantiou and Kallinikos, 2015). The trends of big data have resulted in the creation of an attitude of collecting the data which has no pre-defined objective, promotion of bottom up, analysis, inductive approach to collection of big data and its exploration. As per Bholat (2015), this approach begins from data and later on attempts to generate a theoretical explana tion. An example of the same can be seen in the study which was performed by Madsen (2015) on the manner in which the technological features of the digital social analytics, which is simply a subset of the big data analytics, influence the project work. This inductive approach allowed for the distinctions and patterns to come to light as they were unknown previously, to emerge from the big data. As a result of this, the data collected for one reason could be made use for other purposes, as the same can be combined and analysed in different and new manners (Aaltonen and Tempini, 2014). Some of the business analytics experts were interviewed by Tamm et al (2013) for the preliminary assessment of the pathways to value from the big data. The experts in this study showed concerns in context of the value of analytic based advisory services, as the insights were gained by approaching the big data in an inductive manner for compensating for the efforts which were required to troll the data without having a clear business case or clear focus. The retention and trolling of the huge bites of unstructured data are deemed as an expensive exercise, which requires the focus of the particular business (Gao et al., 2015). Such focus is necessary for the purpose of maximization of the possibility of value realization. As a result of this, the scholars have acknowledged more deductive approach to the big data analytics which begin from the general theory and later on make use of the particular data for testing it. This hypothetic based approach is common parlance in healthcare setti ngs in which the data is collected, processed and visualized for particular purpose (Tan et al., 2015). A major risk in this approach is the confirmation bias, which takes place when the decision makes looks for the data specifically for confirming their hypotheses (Bholat, 2015). Bholat (2015) has made the argument that the induction and deduction in practice are two ideal approaches which are intertwined and which complement each other and this implies the requirement for balancing them. An example of this is the analysts which could be provided certain degree of freedom to arrive in an inductive manner at the creative and innovative ideas, though the specific boundaries could be set around the projects in a simultaneous manner which they were working upon for making certain that the business value is delivered (Gao et al., 2015). Lycett (2013) has argued that the limit to which such inductions and deductions are balanced in the real world depends partly over the influence of the pre-existent frames of mindsets or reference of the ones who interpret the data. As a result of this, the issues of human based intelligence and algorithmic intelligence as a debate at work practice level. There are also arguments in favour of the algorithmic intelligence which relate to such algorithms being a guide to analysts for the innovative analytic categorizations and concepts, whilst avoiding the pre-established and preconceived distinctions. When it comes to the artificial intelligence or the sophisticated machines learning the algorithms, there is an improvement of procedures with time (Van der Vlist, 2016). Different scholars have highlighted different examples in this regard, for instance Markus (2015) highlighted IBMs Watson, Newell and Marabelli (2015) highlighted the self-driving cars, and Sharma et al (2014) shed light over the fraud detection algorithms. The scholars considering big data at the work practice level have debated on the manner in which the different actors work for gaining the possible valuable insights from the big data. A number of studies in this regard have been based on the augmentation on empirical evidence, including that of Madsen (2015), and Nam var and Cybulski (2014). In views of Peppar and Ward (2004), in order for the organizations to develop their capabilities, they need to find the ways for effectively developing, mobilizing and using the human and technical resources which relate to the big data. There are different manners of putting big data towards innovations, and one of the manners of using this is through accessing the big data techniques and sources, and acting upon improving the present processes in terms of their effectiveness and efficiency. An example of this is IBM implementing a database system for linking its employee, which is used by them for improving upon the knowledge sharing and the efficiency across the company (Gillon et al, 2014). Conclusion The previous segments covered a brief upon the different literatures which cover the use of big data. This discussion not only covered the advantages of such use, but also identified certain limitations, particularly when the big data is collected for one purpose and ends up being used for another purpose. In a crux, big data is a crucial tool which can help the company in keeping not only its social values but also the economic ones as well. Reference List Aaltonen, A., and Tempini, N. (2014) Everything counts in large amounts: a critical realist case study on data-based production. J. Inform. Technol., 29 (1), pp. 97-110. Anandhi, R., and Sekar, G. (2017) A Birds Eye View on Big Data Analytics. International Journal of Engineering and Technology, 9(3), pp. 1701-1706. Baesens, B., Bapna, R., Marsden, J.R., Vanthienen, J., and Zhao J.L. (2014) Transformational issues of big data and analytics in networked business. MIS Quart., 38 (2), pp. 629-632. Bholat, D. (2015) Big data and central banks. Big Data Soc., 2 (1), pp. 1-6. Chen, H., Chiang, R.H.L., and Storey, V.C. (2012) Business intelligence and analytics: from big data to big impact. MIS Quarterly, 36 (4), pp. 1165-1188. Constantiou, I.D., and Kallinikos J. (2015) New games, new rules: big data and the changing context of strategy. J. Inform. Technol., 30 (1), pp. 44-57. Davenport, T.H. (2006) Competing on analytics. Harvard Bus. Rev., 84 (1), pp. 98-107. Davenport, T.H., Barth, P., and Bean, R. (2012) How big data is different. MIT Sloan Manage. Rev., 54 (1), pp. 43-46. Davenport, T.H., Barth, P., Bean, R. (2012) How big data is different. MIT Sloan Manage. Rev., 54 (1), pp. 43-46. Fichman, R.G., Santos, B.L.D., and Zheng, Z. (2014) Digital innovation as a fundamental and powerful concept in the information systems curriculum. MIS Quart., 38 (2), pp. 329-353. Gao, J., Koronios, A., Selle, S. (2015) Towards a process view on critical success factors in big data analytics projects. Proceedings of the Twenty-First Americas Conference on Information Systems, Puerto Rico, August 1315 Ghoshal, A., Larson, E.C., Subramanyam, R., and Shaw, M.J. (2014) The impact of business analytics strategy on social, mobile, and cloud computing adoption. Proceedings of the Thirty Fifth International International Conference on Information Systems, Auckland, New Zealand, December 1417. Gillon, K., Aral, S., Lin, C., Mithas, S., and Zozulia, M. (2014) Business analytics: radical shift or incremental change?. Commun. Assoc. Inform. Syst., 34 (13), pp. 287-296. Kim, G., Trimi, S., and Chung, J. (2014) Big-data applications in the government sector. Commun. ACM, 57 (3), pp. 78-85. Laney, D. (2001) 3D Data management: controlling data volume, velocity, and variety. [Online] Garter. Available from: https://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety.pdf [Accessed on: 16/12/17] LaValle, S., Lesser, E., Shockley, R., Hopkins, M.S., and Kruschwitz, N. (2011) Big data, analytics and the path from insights to value. MIT Sloan Manage. Rev., 52 (2), pp. 21-32. Loebbecke, C., and Picot, A. (2015) Reflections on societal and business model transformation arising from digitization and big data analytics: a research agenda. J. Strategic Inform. Syst., 24 (3), pp. 149-157. Lycett, M. (2013) 'Datafication': making sense of (big) data in a complex world. Euro. J. Inform. Syst., 22 (4), pp. 381-386. Madsen, A.K. (2015) Between technical features and analytic capabilities: charting a relational affordance space for digital social analytics. Big Data Soc., 2 (1), pp. 1-15. Manyika, J., Chui,. M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., and Byers, A. H. (2011) Big data: The next frontier for innovation, competition, and productivity. [Online] McKinsey Global Institute. Available from: https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/big-data-the-next-frontier-for-innovation [Accessed on: 16/12/17] Markus, M.L. (2015) New games, new rules, new scoreboards: the potential consequences of big data. J. Inform. Technol., 30 (1), pp. 58-59. Namvar, M., and Cybulski, J. (2014) BI-based organizations: a sensemaking perspective. Proceedings of the Thirty-Fifth International Conference on Information Systems, Auckland, New Zealand, December 1417. Newell, S., and Marabelli, M. (2015) Strategic opportunities (and challenges) of algorithmic decision-making: a call for action on the long-term societal effects of 'datafication'. J. Strategic Inform. Syst., 24 (1), pp. 3-14. Newell, S., and Marabelli, M. (2015) Strategic opportunities (and challenges) of algorithmic decision-making: a call for action on the long-term societal effects of 'datafication'. J. Strategic Inform. Syst., 24 (1), pp. 3-14. Peppard, J., and Ward, J. (2004) Beyond strategic information systems: toward an IS capability. J. Strategic Inform. Syst., 13 (2), pp. 167-194. Raghupathi, W., and Raghupathi, V. (2014) Big data analytics in healthcare: promise and potential. Health Inform. Sci. Syst., 2 (3), pp. 1-10, 10.1186/2047-2501-2-3. Ransbotham, S., Kiron, D., and Prentice, P.K. (2016) Beyond the hype: the hard work behind analytics success. MIT Sloan Manage. Rev., 57 (3), pp. 3-16. Sharma, R., Mithas, S., and Kankanhalli, A. (2014) Transforming decision-making processes: a research agenda for understanding the impact of business analytics on organisations. Euro. J. Inform. Syst., 23 (4), pp. 433-441. Tamm, T., Seddon, P., and Shanks, G. (2013) Pathways to value from business analytics. Proceedings of the Thirty-Fourth International Conference on Information Systems, Milan, Italy, December 1518. Tan, C., Sun, L., and Liu, K. (2015) Big data architecture for pervasive healthcare: a literature review. Proceedings of the Twenty-Third European Conference on Information Systems, Mnster, Germany, May 2629. Van der Vlist, F.N. (2016) Accounting for the social: investigating commensuration and big data practices at Facebook. Big Data Soc., 3 (1), pp. 1-16. Zuboff, S. (2015) Big other: surveillance capitalism and the prospects of an information civilization. J. Inform. Technol., 30 (1), pp. 75-89