Monday, October 24, 2016

Cyberlaw Concepts - Death and Taxes in the E-World

Benjamin Franklin is attributed with correlating death and taxes as inevitabilities of life. The virtual world has not empowered an escape from either. Still, the very premise of our democracy derives itself from the war-inducing notion of “no taxation without representation”. Taxation remains the fundamental source of government revenue, revenue designed to facilitate, sustain and protect initiatives deemed essential to a nation. Arising from the dawn of the Internet, e-commerce opened another taxable avenue.
Unless residing in one of a handful of states, most individuals are accustomed to paying a sales tax. Sales tax is an additional cost associated with a purchase, “imposed…as a percentage” (Craig, 2013), beyond the asking price and collected by the seller to be remitted indirectly back to the state/local government as revenue. All business deemed a permanent establishment (PE) within a state with a compulsory sales tax are required to collect such monies. E-commerce challenges the pre-existing concept of sales tax as a requirement of PE.
Although certain items may be exempt from sales tax (i.e. “necessities” and government purchases), online retailers and online auction sellers operating e-businesses outside of a state’s jurisdiction are not required to collect sales taxes unless such entities appease the “substantial nexus” test as predicated by a 1992 Supreme Court ruling established under Quill Corp. v. North Dakota. If an e-business possess a nexus, or physical connection, such entities are inconvenienced with the burden of collection of sales tax. Multiple nexuses across multiple states introduces a matter additionally complicated by the fifty different systems currently operated by the states. State-championed proposals, such as Streamlined Sales Tax Project, or Federal law proposals, such as the Federal Marketplace Fairness Act, are attempts at addressing the fifty-state bureaucratic nightmare. Nonetheless, consumers taking advantage of “tax-free” online shopping are still responsible for paying use tax.
As opposed to sales tax, income tax augments the coffers at both the federal and state level. Income tax is a direct, compulsory contribution to government, levied by government, typically as a percentage of an individual’s or entity’s annual gross financial worth based upon received revenues. At the federal level, that percentage currently ranges between 0% and 39.6% depending on several factors. State percentages vary by state and range from 0% to 13.3%. Here again, unless residing in one of a handful of states, most individuals are accustomed to paying income tax to both the federal government and the state. (Alaska possess the singularity of having neither a sales tax nor state personal income tax.) According to the Internal Revenue Service (IRS), online sales “may be subject to liabilities for income tax, self-employment tax, employment tax, or excise tax” (Internal Revenue Service, 2016). Generally speaking, online retailers and online auction sellers are required to report earnings generated through sales and to pay income tax on such unless such sales can be equated to engaging in a “hobby” as strictly defined by the IRS.
Another complicated realm under the purview of tax law concerns the taxation of winnings resulting from online pursuits such as gambling. Taxation varies based on both activity and location. The matter is convoluted by a determination of legality so much so that avoidance is the order of business with entities launching offshore operations (Craig, 2013). Yet, gambling, virtual or otherwise, does not allege an illegal action under federal law. In fact, the Unlawful Internet Gambling Enforcement Act of 2006 does not levy a clear declaration although it does provide for actions to be taken by banking institutions regarding deposits suspected of being generated through illegals mechanisms. Therefore, from a federal perspective, online winnings are taxable as those winnings simply comprise part of an individual’s total income and any losses stemming from such activities are then deductible. While the simplicity of the previous statement precludes an exploration of professional opposed to enthusiast, the Catch-22 with reporting additional income generated via online gambling or wagering comes from the states. Thus, the matter of determining legality remains at the state level. Some states have bans while some states have specific laws concerning online gambling. Some states purport nothing. Accordingly, “the taxpayer bears the burden of having to properly substantiate that a deduction is allowable” (Rosenberg, 2009). As a side note, online sports betting is illegal. Online fantasy sports operations blur the line and now rage at the heart of legal debate.
As a final consideration, telecommuting has dynamically impacted fundamental business processes. What was once a novelty has proven an ideal alternate methodology that attacks multiple societal dilemmas. Current technological advancements combined with better management practices have engendered greater mobility of employees (Craig, 2013) and that mobility has enabled benefits to individuals, businesses and the environment. Unfortunately, cash-strapped states have found a way to undermine this idyllic arrangement by introducing a telecommuter tax, a.k.a. “convenience tax”. Precedent created by cases such as Zelinsky v. Tax Appeals Tribunal of the State of New York (2003) imbue states with the authority to extort taxable revenue double what the individual normal pays. Effectively, any individual residing in one state but working/earning income in another state may face having to file multiple state tax returns for money values beyond just what is earned in the state of employment. Furthermore, the telecommuter tax has ramifications extending beyond the individual. Judicial end-arounds of the “substantial nexus” test, such as Telebright Corporation, Inc. v. New Jersey Division of Taxation (2012), establish dangerous precedent permitting the “stretching the limits of traditional taxing principles in order to collect…tax revenues.  It means…companies must now be judicious when permitting telecommuting…or face increased state tax liabilities and compliance” (McClellan, 2014). 

*Note: Whether engaging in online markets (virtual or real), online gambling, or telecommuting, revenue is revenue and therefore possibly subject to taxation. Cyber-driven initiatives, and the resultant byproducts, have proven to be another advent challenging the quagmire of tax codes. The best source of information regarding taxes and tax liabilities stem from relevant tax law. The counsel of professionals remains paramount to ensuring compliance. As such, this opinion is a cursory overview regarding taxation of some online revenues or initiatives, providing a broad synopsis of potential impact under current U.S. law.

Reference List

Craig, B. (2013). Cyberlaw: The Law of the Internet and Information Technology. Boston: Pearson.
Internal Revenue Service. (2016). Tax Laws and Issues for Online Auction Sellers. Retrieved from IRS.gov: https://www.irs.gov/businesses/small-businesses-self-employed/tax-laws-and-issues-for-online-auction-sellers
McClellan, C. (2014). Tax Consequences of Telecommuting Employees. Retrieved from carr-mcclellan.com: http://www.carr-mcclellan.com/insights/tax-consequences-of-telecommunicating-employees/

Rosenberg, E. (2009). Online Gambling Poses Tax Conundrum. Retrieved from WSJ.com: http://www.wsj.com/articles/SB10001424052748704779704574553763086903756

Monday, October 17, 2016

Whether Raising Chickens or Harnessing the Wind, GIS gets the job done

Early efforts in man’s quest to harness the raw power of earth bore the resemblance of child-like bewilderment. Drill a hole here, put a wind mill up there. Evaluate. Adjust. Relocate. Repeat. Trial and error were the inefficient order of the day without any thought to the consequences. Today’s information-driven approach minimizes both the fiscal and physical impacts. Information Technology, partnered with science, changed the very nature of energy exploration and the resultant profitability of its exploitation. One particular offspring of this partnership is the advent of geographic information systems (GIS), simply described as “a computer system capable of assembling, storing, manipulating, and displaying geographically referenced information” (Stair & Reynolds, 2014).
Wind farming remains one particular explorative endeavor embracing technology. According to U.K.-based consultant Samuel Clark, GIS “methodologies which combines database information with mapping and modeling is at the heart of the process” (Clarke, 2013). Such capabilities enable leadership to visualize, analyze, and interpret human impacts on the natural environment. Additionally, it offers increased efficiency, better decision making, improved communications, and better record keeping (Environmental Systems Research Institute, n.d.). America currently leads the world in harnessing the power of the wind.
Wind farm design constraints primarily consider available wind resources, noise, aviation, air defense, electrical connectivity and electromagnetic interference (Clarke, 2013) with additional constraints evaluating terrain, public acceptance, proximity to protected areas, site accessibility, proximity to the (electrical) grid, availability of installation equipment (Ouma, 2012). As opposed to the agricultural constraints considered by the placement of a chicken farm, wind farms embrace a coexistence with for-profit agricultural endeavors. Consider that “a standard wind farm of 20 turbines will extend over an area of about 1 square kilometre (sic), but only 1% of the land is used...The rest of the land can be used for farming or natural habitat” (Wind Measurement International, n.d.). Additionally, landowners can repeat additional financial rewards by subletting their property.

The table provided below provides comparable constraints and preferences easily identified by the employment of GIS technology via the association of concerns across two different human endeavors. 

Chicken Farm Location Constraints:
Wind Farm Location Constraints
Primary
Primary
  • ·         In an urban or residential area

  • ·         In an urban or residential area

  • ·         In an area of high ecological significance

  • ·         In an area of high ecological significance

  • ·         Within aviation flight paths

  • ·         Within aviation flight paths

  • ·         Too close to another poultry farm

  • ·         Available wind resource

  • ·         In a key mineral extraction area

  • ·         In an area with complex terrain

  • ·         In a low-lying, flood-prone area

  • ·         Noise

  • ·         In a designated water catchment area

  • ·         Electromagnetic interference

  • Secondary

  • Secondary

  • ·         On land deemed too steep

  • ·         On land deemed too steep

  • ·         In a national park or other protected areas

  • ·         In a national park or other protected areas

  • ·         On good quality agricultural land

  • ·         Public opinion

  • ·         On land suitable for strategic crops

  • ·         Accessibility

  • ·         On an oil or gas pipeline


  • ·         On acid sulfate soil



Chicken Farm Location Preferences
Wind Farm Location Preferences
  • ·         Near paved roads

  • ·         Near paved roads

  • ·         Near a supply of electricity

  • ·         Near a supply of electricity

  • ·         Near a reliable supply of clean water

  • ·         A reliable wind

  • ·         Near poultry processing plants

  • ·         Near available installation equipment

  • ·         Near poultry feed mills



Reference List

Clarke, S. (2013). Finding the Perfect Site for a Wind Farm. Retrieved from EngineerLive: http://www.engineerlive.com/content/22779
Environmental Systems Research Institute. (n.d.). What is GIS? Retrieved from ESRI.com: http://www.esri.com/what-is-gis
Ouma, C. (2012). Assessing Locations for Wind Power Generation. Retrieved from ExploringGreenTechnology.com: http://exploringgreentechnology.com/wind-energy/assessing-locations-for-wind-power-generation/
Stair, R. M., & Reynolds, G. W. (2014). Fundamentals of Information Systems (8th ed.). Boston: Cengage Learning.
Wind Measurement International. (n.d.). FAQ. Retrieved from windmeasurementinternational.com: http://www.windmeasurementinternational.com/wind-info/wind-energy_faq.php


Sunday, October 16, 2016

Business Intelligence at Irish Life

Pioneering IT developer IBM noted that many big businesses are “unable to interpret 90 percent of their information” (Savvas, 2011). Leading insurance provider and retirement planner Irish Life stood out as one of those business unable to access, and therefore interpret, data-rich information.
Paul Egan, IT manager for business intelligence at Irish Life, succinctly described the data analytics environment arising from use of Oracle Discoverer as “MIS Monday Madness…copying and pasting and emailing…to satisfy audiences” (McKenna, 2011). Irish Life’s environment was facilitated by a mismanagement of accessibility that defined information accessibility as the sole realm of IT.  Such a outdated purview of roles engendered a system that failed to empower the appropriate personnel with the correct applications. The end result produced “static, with little trend analysis” (McKenna, 2011) reporting with poor functionality and a lack of individual service. A change was needed.
Mr. Egan’s vision foresaw individual environments were his IT staff could “enable data sources for power users to build dashboards” (McKenna, 2011) leaving the dedicated IT staff to focus on data development. Adoption of such a forward-thinking initiative requires operator criticism in order to induce a product which provides better user functionality. After a two-month test period that involved multiple systems and direct feedback, Tableau was chosen because its “strength is in allowing non-IT professionals to build their own dashboards which can then be published on the internet or distributed on mobile devices” (Smith, 2012).
Irish Life also dictated that any system chosen must support business growth and retention but maintain a “primary focus…to improve the sales pipeline and customer service management” (Savvas, 2011). Irish Life’s power users needed business intelligence capabilities which could “graphically represent data across the organisation (sic), improve decision-making and map patterns and trends in a cleaner way” (Savvas, 2011) by combining historical trends, real-time fiscal performance and future financial predictions.
Furthermore, Irish Life consciously decided customer ownership remained a necessary byproduct of their initiatives. Through the introduction of mobile-accessibility and online tools, customers are endowed with knowledge and feel a sense of control over their financial destiny. Customers can now engage better educated financial advisors using supported analysis regarding market predictions with the ability to “monitor a range of different aspects…such as sales margins, costs, the value of new business and head count” (McKenna, 2011). Consequently, Irish Life “tripled its customer base” (Stair & Reynolds, 2014).

Reference List

McKenna, B. (2011). Irish Life Chooses Tableau over QlikView, Oracle. Retrieved from ComputerWeekly: http://www.computerweekly.com/news/2240112678/Irish-Life-chooses-Tableau-over-QlikView-Oracle
Savvas, A. (2011). Irish Life Deploys New BI System. Retrieved from ComputerWorldUK: http://www.computerworlduk.com/data/irish-life-deploys-new-bi-system-3321944/
Smith, G. (2012). Irish Life Chooses Tableau to Deliver Business Intelligence Dashboards. Retrieved from SiliconRepublic.com: https://www.siliconrepublic.com/enterprise/irish-life-chooses-tableau-to-deliver-business-intelligence-dashboards

Stair, R. M., & Reynolds, G. W. (2014). Fundamentals of Information Systems (8th ed.). Boston: Cengage Learning.

Monday, September 26, 2016

Cyberlaw Concepts - Trademark Infringement

1.       This video found on YouTube is clearly a parody for Walmart, specifically with all the wage disputes in the news regarding Walmart employees. Please discuss Trademark law and what Walmart can do against YouTube. Does Walmart have any recourse? What are the remedies? Is Walmart likely to succeed, why or why not? Be sure to apply the concepts of Trademark law.

Although this scenario is presented to discuss possible trademark infringement actions against YouTube and not the entity responsible for the published work, it should be noted that JibJab, if subjected to trademark infringement proceedings, could argue any of the following defenses: Parody under the First Amendment, Laches, Unclean Hands, or Fraud (and/or misrepresentation by the plaintiff in obtaining trademark registration).

Trademarks, another abstract concept privy to shelter under the umbrella of Intellectual Property, comprise “any word, name, symbol, device, or any combination, used, or intended to be used in commerce to identify and distinguish the goods from one manufacturer or seller from goods manufactured or sold by others, and to indicate the source of the goods” (Craig, 2013). In order to register a trademark, a person or an entity generally seeks the legal stamp of approval from the United States Patent and Trademark Office (USPTO or PTO). If an application for trademark registration is denied by the USPTO, an appeals process is available whereby final arbitration is ultimately determined by the USPTO Trademark Trial and Appeal Board (TTAB).
The primary law governing the protection of trademarks remains the Lanham Act, a.k.a. the Federal Trademark Act or the United States Trademark Act, which safeguards both trade/commercial names and service marks. Under the Lanham Act, any party “may be liable for trademark infringement…if the plaintiff establishes that (1) the plaintiff has a valid mark that is entitled to protection…(2) the defendant used the mark, (3) in commerce (4)…without the plaintiff’s consent” (Craig, 2013). Moreover, the courts have typically weighed six additional factors in examining if a “likelihood-of-confusion” exists between litigious parties.
The retail giant Walmart filed with the USPTO in an attempt to trademark the acronym “EDLP”, or “everyday low prices”, a reference to their intensive cost-based marketing strategy, in 2005. Walmart withdrew its application in 2007 in the face of strengthening opposition. Although unsuccessful in co-opting “ELDP” for their own enterprise, Walmart was able to trademark the phrase “Low Prices You Can Trust. Everyday.” (Justia, 2016). Baring the parody JibJab created in their spoof Big Box Mart, the potential for legal action by Walmart against them persists in part because of one line, “Oh Big Box Mart/My paycheck reminds me/Your everyday low prices have a price/They aren’t free” (JibJab, 2005). As such, Walmart reserves the right to directly seek an injunction as well as petition for monetary damages.
This is not to say that Walmart does not have any recourse regarding perceived infringement by YouTube. Walmart may certainly seek domestic protection, and possible reparation, under either the Lanham Act, the Trademark Dilution Revision Act of 2006, and/or the Anticybersquatting Consumer Protection Act (ACPA), as applicable and appropriate. Internationally, protection can be found under the Paris Convention, the Madrid Protocol, and/or the Trademark Treaty Law (TTL).
Conversely, the non-profit New Media Rights notes that YouTube “doesn't have a legal obligation to do anything…because the law gives the…holder the sole right to enforce” (Karobonik, 2011).  In this scenario, the simplest remedy, outside of the courts, is to attempt to reach a resolution with the account holder in question. However, if resolution cannot be achieved between Walmart and the account holder then Walmart can issue notice of a trademark complaint to YouTube (a process YouTube has well established on their site at either https://support.google.com/youtube/answer/6154218?hl=en or https://support.google.com/youtube/answer/6154228?hl=en).
Assuming that Walmart sought the simplest redress unsuccessfully and that YouTube has failed to removed the subject material after proper notification, Walmart may then, at a minimum, purport a latent contributory trademark infringement case although the potential for plaintiff loss threatens to be high. In order for their plea to be successful before the courts, Walmart must demonstrated trademark usage in commercial endeavors, registration with a resultant listing in the Principle Register (not required but recommended), and appropriate markings as well as demonstrate a willful malicious knowledge by YouTube with regards to the infringement. The courts will ultimately render a decision based upon Inwood Laboratories, Inc. v. Ives Laboratories, Inc., 456 U.S. 844 (1982). If a decision is found in their favor, Walmart can petition the courts for either a restraining order, an injunction, or monetary compensation but, in order to request such, they must demonstrate “an irreparable injury that remedies…are inadequate to compensate…equity is warranted and the public interest would not be disserved by a permanent injunction” (Craig, 2013).

Reference List

Craig, B. (2013). Cyberlaw: The Law of the Internet and Information Technology. Boston: Pearson.
JibJab (2005). Big Box Mart. Retrieved from http://www.jibjab.com/originals/big_box_mart
Justia. (2016). Retrieved from Justia Trademarks: https://trademarks.justia.com/865/57/low-prices-you-can-trust-every-86557402.html
Karobonik, T. (2011). How do I report Copyright Infringement on YouTube? Retrieved from New Media Rights: http://www.newmediarights.org/business_models/artist/how_do_i_report_copyright_infringement_youtube


Wednesday, September 21, 2016

Kenya's Dilemma: Constitutional Protected Privacy vs. Hate Speech

Approximately 1300 people were killed and over a half a million persons displaced in the wake of the 2007 Kenyan Presidential elections. Many commentators pointed to inciting political language as the primary mechanism which fueled ferocious unrest. The government was left to answer what could be done to prevent future recurrences. Businesses, especially communications media, were left to answer how to prevent future recurrences.
One apparatus for preventative change was the passage of the National Cohesions and Integration Act of 2008 which established the Kenya National Cohesion and Integration Commission (NCIC), an agency whose primary duties include the promotion of ethnic harmony as well as being imbued with investigative authority into ethnic/racial relations. A truly difficult tasked faced by the NCIC was defining hate speech (Integrated Regional Information Networks, 2012), a challenge akin to Supreme Court Justice Potter Stewart’s struggle to define pornography.
Some guidance arose from the 2010 Kenyan Constitution in which the freedom of expression, a right granted to every person, specifically sates that personal expression does not include “propaganda for war; incitement of violence; hate speech; or advocacy of hatred that constitutes ethnic incitement, vilification of others or incitement to cause harm; or is based on any ground of discrimination” (Kenya Law Reform Commision, 2010). The challenged remained though in balancing censorship against another constitutional guarantee where “every person has the right to privacy, which includes the right not to have…the privacy of their communications infringed” (Kenya Law Reform Commision, 2010).
In 2012, the National Communications Commission of Kenya (CCK) further required the installation of Internet traffic monitoring equipment, the Network Early Warning System (NEWS), by all Internet service providers. Additionally, the CCK promulgated the “Guidelines for the Prevention of Transmission of Undesirable Bulk Content/Messages via Electronic Communications Networks”. Likewise, they also banned the use of any language other than Swahili and English when proliferating political messages during designated campaign periods in an attempt to deter outside influence and reduce violence stemming from ethnic nationalism amongst tribes (Integrated Regional Information Networks, 2012).
One dominant media entity Safaricom, with a 63% share of mobile subscriptions as well as a 69% share of internet subscriptions (Freedom House, 2013), took an early lead in working with and embracing the Kenyan government’s desire to mitigate political violence. According to the Digital Dangers report, “one of the main sources that helped model Safaricom’s internal guidelines were those issued by national newspapers on political advertisements” (Purdon, 2013).  Safaricom’s actions to target bulk short message service (SMS) message requests, a response to the unrestrained violence surrounding the 2008 elections, were intended to curb “any language…that was “partisan” or sought to divide communities” (Purdon, 2013) while also reducing corporate culpability under Kenyan law. Although 68 bulk SMS requests, totaling 963,762 text messages (Gathura, 2013) were processed within 48 hours of the 2013 election, only 1 was blocked for content (Stair & Reynolds, 2014).
A later investigation unveiled a “Blue Coat PacketShaper appliance – a device that can help control undesirable traffic by filtering application traffic by content category”  (Freedom House, 2013) – but it was not determined to have been employed in any political censorship initiatives.
The 2013 elections, in comparison to the tumultuousness of the 2007 elections, transpired in a manner of quiet democracy baring the fact the “elections passed with only one attack resulting in the death of six police officers” (Stair & Reynolds, 2014). Nonetheless, human rights watch groups still argued that the targeting of only bulk SMS were insufficient as such selectiveness failed to filter peer-to-peer text messages. While Safaricom’s resolve to seek guidance, abide by the people’s Constitution, and balance privacy against censorship demonstrates a commitment to ethical behavior, the success of government and business driven initiates to minimize violent partisan conflict cannot be deemed successful only by a reduction in violence. Atsango Chesoni, Executive Director of the Kenya Human Rights Commission, expressed that, while positive steps are being advanced, ineffective enforcement of hate speech statues and subsequent failed prosecutions shall serve continue to foster divisive rhetoric (Integrated Regional Information Networks, 2012).

Reference List

Freedom House. (2013). Freedom on the Net: Kenya. Retrieved from Freedom House: https://freedomhouse.org/report/freedom-net/2013/kenya
Gathura, G. (2013). Kenya: Safaricoms' Bulk SMS Filter on Hate Speech Now a Global Case Study. Retrieved from Standard Digital : http://www.standardmedia.co.ke/business/article/2000100677/safaricom-s-bulk-sms-filter-on-hate-speech-now-a-global-case-study
Integrated Regional Information Networks. (2012). Taming Hate Speech in Kenya. Retrieved from IRIN: http://www.irinnews.org/report/96168/analysis-taming-hate-speech-kenya
Kenya Law Reform Commision. (2010). Consitution of Kenya. Retrieved from Kenya Law Reform Commision: http://www.klrc.go.ke/index.php/constitution-of-kenya/112-chapter-four-the-bill-of-rights/part-2-rights-and-fundamental-freedoms/199-33-freedom-of-expression
Purdon, L. (2013). Digital Dangers: Corporate Responses to Hate Speech in the 2013Kenya Presidential Elections. Institute for Human Rights and Business. Retrieved from https://www.ihrb.org/pdf/DD-Safaricom-Case-Study.pdf
Stair, R. M., & Reynolds, G. W. (2014). Fundamentals of Information Systems (8th ed.). Boston: Cengage Learning.