Saturday, February 1, 2020

University Assignment: A literature review on the risks and rewards of IT insourcing and IT outsourcing to an organization.



Assignment completed as apart of my Master Studies in University College Cork.

Course: CKL18 Information Systems for Business Performance
Grade Received: 68%

Introduction:

This piece will focus on the risks and rewards of IT outsourcing and IT insourcing to an organisation. A said organisation could be a business, a charity or even a government. While specific industries outsource more than others, IT outsourcing can be seen in almost every industry. IT insourcing and IT outsourcing are not exclusive to either the public or private sector, and often an agreement can involve both sectors working together. Some companies are, in fact, the providers and the customers when it comes to IT outsourcing. This literature review will examine a wide range of academic pieces and give many real-world examples of both practices. This ambition is even though the vast majority of the existing literature is based on IT outsourcing. Find the matrix below which will be used as a fixed reference point to the references and citations made in this piece.

 The Risks and Rewards of IT Outsourcing: Literature Review

This first topic that the literature investigates is how to measure the success and failures of IT outsourcing. According to (Qu, Oh, Pinsonneault 2009) "studies typically evaluate IT outsourcing benefits by comparing manager satisfaction before and after the adoption of IT outsourcing." According to (Lacity 2000), the value of IT outsourcing is often valued in people's and especially managers points of view rather than any imperial data from past examples to support such views.

Secondly, how much of a risk is it for a company to hand over its IT department to an outsourcing company. (Rohde 2004) Explains how UK based supermarket Sainsbury "signed a seven-year deal with Accenture in 2000 to outsource all of its IT operations" However, according to the supermarket, Accenture "failed to deliver the anticipated increase in productivity." This decision led to renegotiation and extension to the contract. On the other hand, other companies have seen great success with outsourcing. (Sen 2016) explains how tech giants Google "now increasingly is starting to outsource non-core parts of its business, such as IT infrastructure management, software development and maintenance to IT services firm." (Hirschheim, Lacity 2000) Argue that venders may not have the best interest of the paying company at heart. Like all companies, outsourcers or venders want to maximise profit. Outsourcers may cut corners like the training of staff and investing in new technology.

Unfortunately, for Kodak, they are a company that perhaps took IT outsourcing too far. (Plant 2011) writes about how outsourced activities such as high-value functions such as infrastructure development and database administration, which led to a lack of IT knowledge and direction in the company. "(Dinu 2015) Points out that firms should specialise and focus on its main object of activity. Amazon is a company that benefits from being the outsourcer. According to the Amazon Web Services website, they offer storage solutions to the likes of Kellogg's, Vodafone, Comcast and Abode. (Amazon Web Services 2019). (According to Investopedia 2019) "Amazon Web Services (AWS), Amazon's cloud service, generated nearly $7.3 billion in operating income in 2018" This was more than half of Amazon's total.

Outsourcing can be beneficial to both the buyer and the seller of a service. For example, in 2001, Canadian bank Scotiabank signed a deal with IBM, which was renewed in 2007. IBM continued to "manage the big Canadian bank's information-technology operations, including its data centres, branches and automatic banking machines." Kitchener (2007) However, also, the bank kept software development in-house. IBM's work with non-core business activities allowed Scotiabank to focus on its core banking and financial services.

A prevalent form of outsourcing is offshore outsourcing. According to (Webb 2017) offshore outsourcing is primarily a geographical activity in which firms find areas of the world with cheaper labour and production costs than their own. |(Sparrow 2003) argues that India is 60-80% of the worlds insourcing market. According to the World Population Review 2019 cost of living index, India ranks below countries such as war-stricken Syria and Venezuela. This fact means that the wages US and European countries have to pay Indian workers are much lower than in their own countries.  For example, due to the cost of living, one might expect that someone in India will earn less than a quarter than someone in Norway for the same work. If we compare India with a cost of living index score of 25.14 and the United States having 70.95, someone in India could only expect to earn 28% of what someone in the US would get for the same work. Despite being a US company, IT outsourcer Cognizant Technologies has the majority of its employees in India and a growing number in Europe and the rest of the world. Note the numbers in the USA the wealthiest region declined in 2018. With employees in America, Europe, India amounts' other places in the world, Cognizant is one of the many companies who can follow the sun modal. (Carmel, Espinosa, Dubinsky 2014) Describe this as the appeal of the workday ending in one place but continuing elsewhere in the world. This option means companies can be potentially making money all day every day due to off offshoring which often comes in the form of outsourcing.

See graph one below:

Graph 1. Source; Statista

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The Risks and Rewards of IT Insourcing: Literature Review
According to (Beers 2019) "Insourcing assigns a project to a person or department within the company instead of hiring an outside person or company." (Beers 2019) also mentions that "insourcing is relatively common and is seeing greater usage by companies seeking better control of important projects and tasks." While it is often believed that outsourcing saves money, this is not always the case.  (Hirschheim, Lacity 2000) In 2019 many firms do outsource IT work, yet (Qu, Oh, Pinsonneault 2009) argue that it is difficult to say if firms who outsource perform better than firms who do not. This view is due to a lack of research on the topic.

IT insourcing is one way for a firm to save money. Not so much for what it does itself but rather through the money it saves due to lower transaction costs compared to IT Outsourcing. Firms are starting to understand how much money they could save on transaction costs. These costs are "organizing information, coordinating behaviour, safeguarding the interests of the transacting parties, monitoring the transactions, inducing the appropriate behaviour adjustments." (Aubert, Rivard, Patry 1996) While firms will have to do a lot of this whether they have the store the data or not themselves, the information will be easier to access and use if it is in-house. If the IT staff and equipment is there, it may be cheaper for firms to insource.

One significant advantage of Insourcing is keeping hold of the same staff.  Forell (2004) writes JP Morgan Chase, who is an example of a company who cancelled a contract altogether. When they terminated their contract with IBM, it did not just cost both companies much money, but it resulted in about 4,000 IBM employees, transferred to J.P. Morgan.  Many of those same workers had made the transfer in the other direction when the contract started. If this contract or any other outsourcing contract ended, it might cause those same employees to have to change again. (Brookes 2000) Found that companies with the highest intention rate also earn the highest profits. Consistent outsourcing may risk that.
According to (Hirschheim and Lacity 2000) outsourcing leads to a reduction in IT costs, this reduction. Outsourcing can be a great money saver. "IT can also help to reduce other expenses such as sales and general administrative costs which are often four or five times IT Costs". (Han Mithas 2014) One example of a company who did this successfully was Axa. According to (Sparrow 2003 pg 15) Axa with the help of its own IT department reduced technology costs by 6% and in the meanwhile rejecting the introduction of outsourcing within the company.

Small to medium-size business (SMEs) may struggle to invest in every service due to financial constraints. (Qu, Oh, Pinsonneault 2009) Point out that IT insourcing can be advantages over IT outsourcing because it allows for the easier passage of information between business and IT staff. The alternative IT outsourcing, the "coordination is between outside IT vendors and business clients." IT insourcing is a form of shared knowledge which is the common knowledge that two or more parties share. Two different companies may use different systems or work in completely misaligned time zones. All of these factors make it harder for a buyer of service to potentially get in contact with the vender than it would be with someone from within their own company.


Discussion from Study of Literature
The first risk is that it is dangerous to use manager satisfaction an accurate measure of the success of IT outsourcing as some managers bring satisfaction from having less work to do rather than getting satisfaction from what is best for the company.  At the highest level when organisations agree to outsource IT, they understandably expect an increase in productivity or a decrease in costs for the same productivity. So, when managers satisfaction and especially managers that are not the buyers' employees are the judge of this, it can lead to problems. 

Companies need to be careful about what outsourcing companies they trust to do a good job. Objectives need to be measurable, attainable and specific, timely and relevant for both firms. Companies also need to follow the example of Google and be careful that they are only outsourcing non-core activities. They have to avoid the traps of Kodak who by outsourcing all of their IT operations and falling behind their competitors. This decision led to the company missing out on many-core IT developments due to a lack of IT knowledge within the company. (DiSalvo 2011) writes that "Kodak was making odd manoeuvres, like acquiring pharmaceutical giant Sterling Drugs for $5.1 billion and trying to establish a brand in the battery business." Had the company's IT staff is more significant and had more say it is improbable that Kodak would have been so resistant to the emergence of digital photography which led to them falling behind the like of Canon and Nikon. Kodak did not realise how vital its core IT Activities and knowledge were and paid the price. IT outsourcing can work for any company, but the importance keep core IT activities within the company cannot be mentioned enough. Kitchener's (2007) example of IBM and Scotiabank is an excellent example of this.

Buyers of services are also at risk that outsourcers will do the bare minimum in terms of investing in their staff and technology. This possibility is challenging for buyers of services to keep an eye on compared to if said IT activities were happening in-house. Buyers need to protect themselves in agreements to make sure that outsourcers do not cut corners which would reduce the buyer's competitiveness in the marketplace.


One advantage IT insourcing has over IT Outsourcing is that staff members are more consistent. Situations, when employees are switching between companies, can be very unsettling for them and their families. A firm with many outsourcing changes may struggle to attract the highest skilled workers because they may become wary of said upheavals in their lives. Taylor 1996 argues that companies who only see employees as costs and not assets will cut the "bone" of a company "rather than just trying to remove the fat." On the other hand, SMEs will find it challenging to find the money to invest in the capital and people. Companies who fail to outsource risk becoming overstretched trying to do everything. This fact could lead to IT staff becoming overwhelmed and leaving due to a heavy workload. To stay competitive company's need to have access to modern tools.

Offshoring, as a form of outsourcing, will likely increase in a globalised world. Companies based in more affluent countries will continue to seek employees within and outside of their own country to save money and to provide better services. The prevailing trend over the last few decades has seen European and American companies outsource many of their IT services to India. This is due to the high number of English speakers in the country. According to (Masani 2012), there are over 125 million English speakers in India. India is a lot poorer than its English-speaking counterparts from as the UK, USA, Canada, Australia and Ireland. Meaning this trend will likely continue unless a cheaper market emerges. While that seems impossible now, over the last few decades, European and American companies have outsourced many businesses to China. While this is still happening, there are hundreds of millions of Chinese people joining the middle class and leaving poverty behind. McKinsey Quarterly (2006). So much so that China is now the exporter to countries in Africa like Ethiopia. (Donahue 2018). A similar rise in the standard of living and wages in India would be a massive risk to companies in the western world looking for cheap, English speaking IT outsourcing labour.
Conclusion


        IT Outsourcing







IT Insourcing
                                                                       Reward                                               Risk

This piece finds that both IT outsourcing and IT insourcing come with many risks and rewards. However, what is most vital for sellers is that they identify what their core and non-core activities are. They must be sure that they only outsource non-core activities. When they do this, they need to commutate with their own IT to make sure employees do not become demotivated and feel like they are being replaced. It makes sense for SMEs to look for agreements with outsourcing companies. This view is because they may not be big enough or to have the money to specialise in every aspect that is needed for their business to flourish. It sometimes just makes more sense for a business to export some of its business to experts.  One reason why capitalism is successful is that it allows people to specialise in producing expect products and provide high-quality services. It is hard for any company but especially small to medium-size ones to be good at everything, and they should not try to be as it would prove too costly.

With IT Outsourcing and IT insourcing been relatively new things compared to other focuses of academia, one might expect a lack of academic literature. However, this is not the case for IT outsourcing. So much, so that is was impossible to discuss every aspect of IT Outsourcing. However, in the case, in terms of IT insourcing, there is a real lack of literature. Due to this, at times, one must invert the rewards of IT outsourcing to talk about the risks of IT insourcing and invert the risks of IT outsourcing to find the potential rewards of insourcing.

In the future, there should be an increased focus on IT insourcing. This view includes the impact on businesses as a money saver and its overall effectiveness. The role of IT is increasing with every passing year, and significant question companies need to ask is “should we outsource or insource said activity?” This decision is made difficult by a lack of research into IT outsourcing. The challenge will be getting organisations to release information to researchers. This is from both a competition point of view but also new EU GDPR.  It is still unsure how this will affect research a whole and not just this particular topic.



















References:


Beers (2019) Outsourcing vs. Insourcing: What's the Difference?
Beulen & Ribbers (2010) Managing IT Outsourcing
Brooks, R., 2000. Why loyal employees and customers improve the bottom line. The Journal for Quality and Participation, 23(2), pp. 40-44






Feeny, Leslie, Wilcocks (1998), Core IS Capabilities for Exploiting Information Technology



Lacity & Willcocks (2003) IT Sourcing Objectives, Wirtschaftsinformatik
Investopedia (2019), How Amazon Makes Money
Nelson, K., & Cooprider, J. (1996). The Contribution of Shared Knowledge to IS Group
McKinsey Quarterly (2006) The value of China’s emerging middle class https://www.mckinsey.com/featured-insights/china/the-value-of-emerging-middle-class-in-china
Performance. MIS Quarterly, 20(4), 409-432. doi:10.2307/249562
New York Times (2008), The Benefits of Outsourcing for Small Businesses https://archive.nytimes.com/www.nytimes.com/allbusiness/AB5221523_primary.html?mcubz=0
Plant (2011), A Kodak Moment to Reconsider the Value of IT
Sparrow 2003, Successful IT Outsourcing: From Choosing a Provider to Managing the Project https://tech.economictimes.indiatimes.com/news/corporate/google-starts-outsourcing-more-business-to-it-firms-such-as-cognizant/51625250?redirect=1
Qu, Oh, Pinsonneault (2009), The strategic value of IT insourcing: An IT-enabled business process perspective
Webb 2017, What Is Offshoring? What Is Outsourcing? Are They Different? https://www.forbes.com/sites/jwebb/2017/07/28/what-is-offshoring-what-is-outsourcing-are-they-different/
World Population Review (2019) Cost Of Living By Country http://worldpopulationreview.com/countries/cost-of-living-by-country/
































Bibliography:
Luftmann (2003), Competiting in the Information Age, Align in the Sand, Oxford Press
Miller, T. I., Kobayashi, M. M., & Noble, P. M. (2006). Insourcing, Not Capacity Building, a Better Model for Sustained Program Evaluation. American Journal of Evaluation, 27(1), 83–94. https://doi.org/10.1177/10982140052831855
Nelson, K., & Cooprider, J. (1996). The Contribution of Shared Knowledge to IS Group
Performance. MIS Quarterly, 20(4), 409-432. doi:10.2307/249562
Valorinta (2011) IT Alignment And The Boundaries of The IT Function, Journal of Information Technology

How Data Analysis and Information Systems Are Changing Football

Introduction:

It makes sense to start this piece with two quotes from German football journalist and author of a recent book “Football Hackers”, Christoph Biermann who said, “data is part of an ongoing evolution that changes football from a game of opinions into one of knowledge. (Biermann 2019, pg8) The writer also makes the strong point that “the future of football will not simply belong to those with the best data, but those who draw the best conclusions from the information at their disposal.” (Biermann 2019, pg8) This piece will discuss how data analytics and information systems have impacted the world of football and the industries around it over the last few decades. This piece will analyse how data has change football tactics, scouting of players, player fitness and the betting industry.  Who is using this data? How is it being used, and why?

Definitions, History and Influences
“Data analytics is the science of analysing raw data in order to make conclusions about that information.” (Investopedia 2019) Football, like other sports, is providing analysts with an ever-growing amount of raw data to investigate and interpret. This data along with modern-day Information systems which is “an integrated set of components for collecting, storing, and processing data and for providing information, knowledge, and digital products,” (Encyclopædia Britannica 2017) have built the data culture we see in football in 2019.

(Sandle 2018) tells us that “the rate at which knowledge is becoming available is doubling every 12 months and on a curve predicted to rise even faster.” See graph 1 below for a representation of this. While not a perfect 100% increase, the increase is stark.





With this in mind, it is no surprise of the growing need for Information systems which can quickly process data and present it in an easy and understandable way. It is also no surprise that information is playing a more prominent and more significant role in sport every day. Data in sport goes back to the beginning of modern sport itself with information like how many of the previous five games a team won. The raw data that is transformed into information systems we see in football nowadays is a relatively new phenomenon. Much of its influence is from American sports such as hockey, basketball and baseball. One example of the explosion of data in American sports in the book “The Art of Winning an Unfair Game” where the author Michael Lewis wrote a book about how a baseball team the Oakland A’s closed the gap between themselves and the wealthier franchises by using analytics to find undervalued players.  The author credits the book to a simple question; “How did one of the poorest teams in baseball, the Oakland Athletics, win so many games?”


Who are the Main Football Data Providers and Users of Information Systems?
On stats.nba.com, users can view and interpret players statistics such as running speeds, shots taken, the place from where shots and passes happened, head to head records, player heat maps, player comparison and player impact tools. American sports have for a long time taken real-time data that may not seem like much at the time, but when gathered consistently and over long periods can explain sports in incredible detail. This data can then be transformed into information to be interpreted just like any business would use information like a sales report. We see unstructured data such as video turned into structured data, that with the help of information systems can be presented in charts, graphs, tables and dashboards.

Football now has many companies offering in-depth statistics about football with the help of information systems. Such sources include transfermarkt.com, football-observatory.com, whoscored.com, optasports.com, smarterscout.com and many more. All of this information is used by fans and clubs alike to gain a better understanding of the game. It also helps them gain an advantage over the competition on and off the pitch. See Graph 2 to see how New York based company smarterscout have used a dashboard to breakdown the Premier League performances of Norwich FC right-back Max Aarons. This dashboard is an example of structured data.
Graph 2: Source smarterscout.com/  https://twitter.com/smarterscout


One reason why statistics were brought into American sports sooner than football a game which has often seen to be dominated by Europe and South America, was that the data was easy to interpret due to a straightforward reason. It had natural breaks, or at least that was the argument for sports like American football, baseball and even the English sport of cricket. According to (Coles 2013) football was a dynamic sport seen as “is too fluid, too fast and too random to assess open play” to implement such strict data collection. It was, therefore, a game impossible to examine from an imperial standpoint. 


Role of Information Systems Play Off The Field
In the fast and demanding world of football clubs need accurate knowledge quickly. Information Technology which “helps to optimize the use of scarce resources through intelligent information support for decision making, helps further in its implementation by support co-ordination effort without wasteful delays.” (O Brien & Marakas 2010) Data can now be the difference in success and failure on and off the pitch. But on the other hand according, to (Kishore, Zang, Ramesh 2004) “information systems are only a particular type of work system that support other organizational work systems.”

It is easy to forget that the super clubs like Barcelona and Manchester United are much more than 11 players who play on a Saturday. They are large businesses with revenues in the hundreds of millions. In 2018, Real Madrid had a revenue of over €750 million. (Deloitte 2019) With this comes many responsibilities such as marketing and customer service. “All football clubs now utilise the internet as a direct channel for accessing their fans and providing them with the necessary information. “This process allows fans with online capabilities to access up-to-date information by accessing the official club website.” (Cleland 2011) This has expanded in recent years to social media where many clubs have millions of followers on Twitter, Facebook and Instagram. Clubs can use Information Systems to automatically send updates to fans via email or by an app on topics such as ticket prices, travel arrangements, and club updates. Information Systems could also be used within clubs to set up services such as instant messaging, management of documents, cash management and email. (Green 1999) pointed out in his piece Football Information Services that “football clubs are more dependent than ever on information services to market their particular brand.” (Kishore, Zang, Ramesh 2004) backed this up further when they said that “workflow is central to integrative business information systems.” Football clubs would find it impossible to manage such volumes of information without Information systems.

How Football Data Is Collected
Information Systems also make the storing of information much more efficient and fast. For example, companies such as Titansensors have developed a GPS tracker that measures players performance in real time. The sensors measure data such as sprint distance, sprint speed, muscle soreness and conditioning scores. (TitanSensor 2019) Observe Table 3 to see all of the offered metrics. The introduction of such technology is seen by many as the “one of the most significant advances in football over the last decade.” (Medium 2019) The new technology has not just increased the amount of data that coaches have but it is also reduced the time needed to analyse the information.
Graph 3: Source: Titan Sensor



Companies such as Statszone.tiki-taka.co use their app to provide anyone willing to pay the monthly fee with in-depth stats of football games. It is thanks to the efficiency of modern-day information systems, real-time data collection and internet speeds that they offer their service in real-time with minute by minute change to metrics on the app as they change on the pitch. Information is then presented on easy to understand dashboards. See graphs 4-6 below as an example of in-depth statistics of Dries Mertens as Napoli beat Liverpool 2-0 in Italy on September 17th, 2019. Graph 4 presents the 24 successful and seven unsuccessful passes the Belgian made. Graph 5 shows the five times he retrieved the ball during the game and where the actions took place. Finally, graph six shows the crosses the player attempted during the game. Much of the data industry is possible due to a company known as Opta. They specialise in the collection of sports data. According to (Opta 2019) “data is recorded, analysed and distributed using a bespoke system that allow us to provide our data quickly, reliably and securely to customers through a range of solutions.”

Graph 4-5. Source Stats Zone App
Graph 6. Source Stats Zone App


How It Impacts In-Game Tactics And Coaching
JOHAN Sports are another business who offer GPS tracker services to professional football clubs. JOHAN Sports promise that their service will help identify when players have "an increased risk of injury" or to "create the ideal periodization schedule with the use of data" and "information on how to adjust training load". When football coaches can examine the fitness of levels of their players in real-time, this unstructured data quickly becomes structured data leading to better decision making. Sunderland fitness coach called a similar technology from STATsports is "quite an integral part of the whole backroom team's work." (Wright 2016) Moreover, that "the technology allows clubs like Sunderland to tailor their players' workloads individually and fine-tune their training through the week" (Wright 2016) This allows clubs to push players to their limits but also to inform players to rest when needed to prevent injury.

As mentioned already, in-game statistics can impact how a team plays, who starts a game, for formation is used and so on. These are all examples of decision making. The introduction of statistics into the world of football has been a game-changer. (Dario 2002) argued that “advances in information technology have made it possible to augment and improve the feedback athletes receive during training and competition.”  However, to think it is just a recent phenomenon would be incorrect.

Sam Allardyce and Bolton
One often forgotten example is Sam Allardyce and Bolton Wanderers. Under the often-controversial Englishman, Bolton reached promotion to the Premier League and eventually UEFA Cup football. The side played old fashioned football which involved kicking the ball from one end of the field to the other. A style often frowned upon due to its simplistic nature and lack of skill. However, for Bolton, their style was based on detailed statistics, especially for the time. Allardyce, also known as “Big Sam” was at the club from 1999 to 2007.

Back then Information Systems were not what they were today but despite this Allardyce used statistics to improve Bolton’s chances in the Premier League. (Newmann 2015) and writer Michael Cox in his book “The Mixer” talk about how Sam’s time in the USA with the Tampa Bay Rowdies changed his perspective on sport and the role data could play. (Newmann 2015) By working with data collection company Prozone, Bolton realised that if they “had to stop the opposition from scoring in at least 16 of their 38 league games to avoid relegation; if Bolton scored first they had a 70% chance of winning; set-pieces accounted for almost 33% of all goals scored; in-swinging crosses were more effective than out-swingers; and they had an 80% chance of avoiding defeat if they outran their opposition at speeds above 5.5m per second.” These statistics and more were used to dictate how Bolton played. It helped the decision makers maximise the resources they had. But marrying their inputs such as personnel of players and coaching staff with data, the team produced a surprisingly high level of output.



How Data Almost Made Chelsea European Champions
(Dario 2002) Claimed that “video technology has significantly influenced training methods”. A famous example of this came in the 2008 Champions League Final penalty shootout between Manchester United and Chelsea. In 2003 Basque economists Ignacio Palacious-Huerta published his paper “Professional play Minimax” where he tracked statistical patterns in penalty taking. Ignacio had followed the pattern of Manchester United and passed his findings onto Chelsea. Findings that, if not for a slip on a rainy night in Moscow, would have many Chelsea European champions. This conclusion is game theory which “is the process of modeling the strategic interaction between two or more players in a situation containing set rules and outcomes. (Mcnulty 2019) Huerta’s finding revealed that Manchester United goalkeeper Edwin Van der Saar assumed those penalty takers would shoot across their body Meaning a right-footer would to their right and the goalkeepers left.  Therefore, the Chelsea players should shoot to their “unnatural side” He also learned that “Ronaldo often stops in the run-up to the ball. If he stops, he is likely (85%) to kick to the right-hand side of the goalkeeper.” (Kuper/Szymanski 2014). Ronaldo did stop, and as predicted went to his left, and the goalkeeper saved it. The ability to analyse data due to the use of Information systems and the oppurtunity to study shootouts, economist Ignacio Palacious-Huerta almost made Chelsea European champions.

Lastly, there is the surprising data that one of the world’s best players Lionel Messi creates more space if he stands or jobs than if he spirts. With this knowledge, the Argentine can conserve his energy, not be so tired in front of goal, which we can assume increased his scoring rate. There is an argument to say that if Lionel Messi ran more, he would be less effective at completing his main task of scoring goals.
Source: Financial Times / John Burn-Murdoch (2018) Graph 7


Football Scouting
As already mentioned, Information Systems are “an integrated set of components for collecting, storing, and processing data and for providing information, knowledge, and digital products,” (Encyclopædia Britannica 2017). In 2019 with the help of Information systems, AI, and machine learning football clubs are scouting players from a more analytical perspective. Clubs can use this information to scout more efficiently with the with use of easy to understand information systems such as dashboards.

In an interview with the Financial Times (FT), Ted Knutson, co-founder and chief executive of StatsBomb said; “Manchester City just don’t sign bad attackers any more either; they signed De Bruyne, Sterling, and Sané back-to-back-to-back, who were among the very best choices [according to the data] each time.” (Burn-Murdoch 2018). Scouting can help clubs identify players who are undervalued often due to or a lack of physical attributes with the use of statistics.

According to the (Independent 2016), Leicester City Football Club asked their “analytics team to look for metrics such as most interceptions, tackles and forward passes per 90 minutes across Europe’s top leagues.” They quickly discover little known 5ft 6ins N’Gole Kanté. Leicester found a player that would not just perform well in a league winning side, but also make them a profit. Leicester sold the player one year later for £32 million, making a £26.4 million profit. He has since gone on to win the PFA Premier League player of the year. (BBC 2017) He (Kanté) was discovered due to scouts looking at the statistics and not the appearance of the diminutive Frenchman. At 5ft 6ins, his type of build was often overlooked in the past. Raw statistics is only numbers on a screen, but this, coupled with information systems and IT, these statistics such as video, can be turned into valuable information. The processing and storing capabilities of the software behind companies such as wyscout has changed football scouting forever. Perhaps other industries and not just other sports can use similar methods to improve their HR and recruitment departments. This hope may be challenging to do with GDPR within the European Union, but football has proven that the technology is there.


VAR & Goal Line Technology
Goal-line technology (GLT) has been an instant hit in football. A technology similar to that in tennis and cricket is an excellent example of information systems processing data. The results of GLT need to be extremely quick and accurate. According to (FIFA 2018), the “technology adopts seven high-speed cameras per goal and “the images are sent to a computer and analysed in real-time.” As soon as the ball crosses the line, a signal will be sent to the referee’s watch, letting them know it is a goal. This fact is an example of information systems providing real-time information that is instantly solving a problem.
Video Assistant Referee (VAR) has been less successful.  However, is none the less a form of data collection and information systems. If a referee is unsure about a critical decision in a game, he can ask or be advised to use VAR. Many fans have complained that the system is not quick enough. This piece of information is perhaps an example of where information systems need to be improved to collect and provide data quicker for customers. According to Premier League referee VAR “has made four mistakes so far during the Premier League season. (Sky Sports 2019)

Impact on Betting:
There seems to be a lack of research into this topic. But there is no doubt that football fans nowadays are a lot more educated about the sport than they were in the past. This is somewhat thanks to TV punditry and the rise of subscription television, but it is mainly down to the football data analysis that has grown from the small group of football statistic blogs.   and betting companies have long had the advantage of asymmetry information. The (American Economic Review 2003) suggest this is when “buyers and sellers commonly process difficult, and not identical information.” This means that a seller of a service may have a much better understanding of a product than a buyer. With the increase of data, this gap has decreased. Betting companies benefit from having more knowledge. They will have to find new ways to stay ahead. Which will likely lead to an even greater need for information and increased sophistication of information systems and data analytics. 2015 saw the introduction of UK betting company where users can buy stocks called “features” in football players. On the platform, users are essentially betting on the future performance of a player rather than betting on individual results. If the Index is to go mainstream, it will further complicate sports betting and the world of football as a whole. (Football Index 2019) The index uses information systems and cloud computing to gather information in real time. This information includes headlines from UK newspapers to calculate media dividends for customers. Match day information to inform match day dividends with their live ranking system.  See graph 8 and 9 below.

Graph 8: Source Football Index. Accessed on October 11th at 11.22 am
Graph 9:  Source Football Index. Accessed on October 12th at 2.07 pm





Conclusions:
The world is seeing rapid growth in date and the football industry is no different. To be successful in the future football clubs like any other business will be rewarded for taking this data and turning it into useful information. The role of Information systems will be likely to continue to grow. Information System operators will need to continue to improve their system’s ability to collect, store and process data. These systems will continue to create information, knowledge and wisdom from these data inputs. IS will likely integrate itself further into football scouting, the transfer market, football tactics and the betting industry.



Reference List:

Academic Articles:
The American Economic Review (2003) Behavioural Macroeconomics and Macroeconomic Behaviour https://www-jstor-org.ucc.idm.oclc.org/stable/3083349?pq-origsite=summon&seq=1#metadata_info_tab_contents
(Ignacio Palacious-Huerta 2003) “Professional play Minimax”
Dario, L., 2002. Advances in the application of information technology to sport performance.
Green, R. (1999), "Football information services: fanzines, “Match of the Day” and the modem", Aslib Proceedings, Vol. 51 No. 1, pp. 20-29.
(Kishore, Zang, Ramesh 2004) Enterprise integration using the agent paradigm: foundations of multi-agent-based integrative business information systems Journal of Sports Sciences Accessed Sep 18th 2019

Books:
Christoph Biermann (2019) The Science and Art of a Data Revolution (English Version)
Kuper/Szymanski (2014 Edition) Soccernomics, pg 158-159.
(O Brien & Marakas (2010) Management Information Systems https://www.dias.ac.in/download/2015/dtr8/102-112%20Pages%20of%20DTR%208th%20issue.pdf
Michael Cox (2017) The Mixer

Journals:
Sage: Jamie Cleland (2011) The Media And Football Supporters: A Changing Relationship.

Websites:
BBC (2017) PFA Player of the Year Accessed Sep 21st 2019 https://www.bbc.com/sport/football/39686272
Coles (2013) Rise of Data Analysis in Football Accessed Sep 21st 2019 http://outsideoftheboot.com/2013/06/26/rise-of-data-analysis-in-football/
Deloitte (2019) Bullseye Football Money League Accessed 16/Sep/2019 https://www2.deloitte.com/uk/en/pages/sports-business-group/articles/deloitte-football-money-league.html

Financial Times (2018)  How Data Analysis Helps Football Clubs make better decisions. Accessed 16/Sep/2019  https://www.ft.com/content/84aa8b5e-c1a9-11e8-84cd-9e601db069b8
FIFA 2018: About Goal-Line Technology Sep 19th 2019 https://football-technology.fifa.com/en/media-tiles/about-goal-line-technology/
FIFA 2018 Video Assistant Referees Sep 19th 2019 https://football-technology.fifa.com/en/media-tiles/video-assistant-referee-var/
Football Index (2019) About Page Sep 19th 2019 https://www.footballindex.co.uk/stockmarket/policies/About_Us
Investopedia (2018): https://www.investopedia.com/terms/d/data-analytics.asp Accessed 16/Sep/2019
John Burn-Murdoch (2018) How data analysis helps football clubs make better signings https://www.ft.com/content/84aa8b5e-c1a9-11e8-84cd-9e601db069b8
Medium (2019) GPS Tracking in Football Accessed Sep 20th 2019 https://medium.com/@kitradar/gps-tracking-in-football-with-stephane-smith-of-titan-sensor-275e65d946a0

Opta: https://www.optasports.com/about/the-opta-difference/ Accessed 16/Sep/2019
(Sandle 2018) Knowledge Doubles Almost Every Day Sep 16th 2019 http://www.digitaljournal.com/tech-and-science/science/op-ed-knowledge-doubles-almost-every-day-and-it-s-set-to-increase/article/537543
http://statszone.tiki-taka.co
 (TitanSensor 2019) Titan-Realtime-GPS Sep 17th 2019 https://www.titansensor.com/titan-realtime-gps/
Wright (2016) STATSports: The training technology used by Arsenal, Man City, Barcelona and more Sep 17th 2019 https://www.skysports.com/football/news/11095/10502787/statsports-the-training-technology-used-by-arsenal-man-city-barcelona-and-more














Bibliography:
BBC (2019) Manchester City and tactical fouls - what do the stats say? Date Accessed September 16th 2019
Darlington FC (2019) Quakers Using GPS To Assess Players' Fitness. Date Accessed September 18th 2019
Michael Lewis (2003) The Art of Winning an Unfair Game. Date Accessed September 18th 2019
Sky Sports (2017) Video Assistant Referees Date Accessed September 18th 2019
RTE (2019) How Technology is Changing Sport Date Accessed September 18th  2019
Wikipedia The Back-pass Rule Date Accessed September 21st 2019


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