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• 1. [Article] Big Data Analytics in Sports

  The management of technical and strategic aspects of both, fan engagement and continuous performance improvement as it pertains to the sports industry was observed. The goal was to measure the extent of ...

  Citation × Citation Citation Abstract Copy Title: Big Data Analytics in Sports Author: Alzahrani, Ahmed, Banchongraksa, Bhawinee, Chase, Chris, Haciane, Gaya, Alzahrani, Saeed Year: 2016 The management of technical and strategic aspects of both, fan engagement and continuous performance improvement as it pertains to the sports industry was observed. The goal was to measure the extent of disruption that big data analytics and the implementation of new high technology has within the industry. Results showed that this new trend was highly effective in terms of fan engagement, and health management for players which improved performance and boosted revenue while being disruptive enough to cause increased regulation by league officials. Research methods included literature review on data analytics for a wide range of sports and an in-depth interview with the CEO and the Director of Business Analytics for the Portland Trail Blazers regarding the National Basketball Association. Title: Big Data Analytics in Sports Author: Alzahrani, Ahmed, Banchongraksa, Bhawinee, Chase, Chris, Haciane, Gaya, Alzahrani, Saeed Year: 2016 The management of technical and strategic aspects of both, fan engagement and continuous performance improvement as it pertains to the sports industry was observed. The goal was to measure the extent of disruption that big data analytics and the implementation of new high technology has within the industry. Results showed that this new trend was highly effective in terms of fan engagement, and health management for players which improved performance and boosted revenue while being disruptive enough to cause increased regulation by league officials. Research methods included literature review on data analytics for a wide range of sports and an in-depth interview with the CEO and the Director of Business Analytics for the Portland Trail Blazers regarding the National Basketball Association. Close

• 2. [Article] Strategic Planning for Ossia Inc.

  Technology and science are changing the daily activities and revolutionizing the normal human lives. These technological and scientific breakthroughs are usually making our lives simpler and changing the ...

  Citation × Citation Citation Abstract Copy Title: Strategic Planning for Ossia Inc. Author: Alzahrani, Ahmed, Hsu, Allen Wei Chen, Al Saglab, Bashir Year: 2016 Technology and science are changing the daily activities and revolutionizing the normal human lives. These technological and scientific breakthroughs are usually making our lives simpler and changing the way we do things. In many aspects and views, life is getting more collaborated whether in transportation, communication, or in power transmitting. This revolution in technology and science leads to many futuristic applications in our lives. Wireless charging technology is one of the existence applications that benefits from this peak. This application has become an important trend as it can solve many existing problems in many fields. While wireless charging technology over years, a new form of this technology has highlighted the roadmap of the future of this technology where devices can be charged over a distance without the need chargers and cords by using the Radio Frequency waves to transmit power. The aim of this report is to define the strategy aspects of Ossia, one of the startup companies that have introduced this technology, by producing a wireless charger named “Cota”. The definition of the strategy aspects will answer the following questions: “What is the company mission, vision, and goals? What are the value propositions?”. Moreover, we also cover the targeted customer segments for the value proposition and the identification of the product strategy and the market strategy. Finally, some suggestions and thoughts for future research. Title: Strategic Planning for Ossia Inc. Author: Alzahrani, Ahmed, Hsu, Allen Wei Chen, Al Saglab, Bashir Year: 2016 Technology and science are changing the daily activities and revolutionizing the normal human lives. These technological and scientific breakthroughs are usually making our lives simpler and changing the way we do things. In many aspects and views, life is getting more collaborated whether in transportation, communication, or in power transmitting. This revolution in technology and science leads to many futuristic applications in our lives. Wireless charging technology is one of the existence applications that benefits from this peak. This application has become an important trend as it can solve many existing problems in many fields. While wireless charging technology over years, a new form of this technology has highlighted the roadmap of the future of this technology where devices can be charged over a distance without the need chargers and cords by using the Radio Frequency waves to transmit power. The aim of this report is to define the strategy aspects of Ossia, one of the startup companies that have introduced this technology, by producing a wireless charger named “Cota”. The definition of the strategy aspects will answer the following questions: “What is the company mission, vision, and goals? What are the value propositions?”. Moreover, we also cover the targeted customer segments for the value proposition and the identification of the product strategy and the market strategy. Finally, some suggestions and thoughts for future research. Close

• 3. [Article] Employee Training Schedule Optimization

  As the amount of technical information explodes in volume and technical professionals struggle with staying current with the latest information, one important channel is the large scale trade or technical ...

  Citation × Citation Citation Abstract Copy Title: Employee Training Schedule Optimization Author: Alzahrani, Ahmed, Gupta, Apeksha, Hsu, Allen Wei Chen, Tiwari, Rashi, Vinchhi, Komal Year: 2016 As the amount of technical information explodes in volume and technical professionals struggle with staying current with the latest information, one important channel is the large scale trade or technical conference. Bringing value back to business by keeping employees up to date with trends in the industry is something that a company expects when it invests time and money in sending its employees to such conferences. To choose sessions from a large conference is an exacting job for employees as they need to scroll over such huge data set and select the best session that matches their interest and preferences. This results in large number of employee hours consumed, which ultimately can prove expensive to a company. Due to these reasons, organizations might find formal planning methods beneficial to get the best return on their investment. To test this, we are examining the case of a major automotive industry company named Daimler Trucks North America. This company is sending six of its employees from the IT department to attend a conference conducted by IBM called “World of Watson”. Human Resource and IT capability being key resources to create competition and differentiating factors between two companies. Training presents a prime opportunity to expand the knowledge base of all employees, but companies and employees alike find this activity a little taxing, what with training conferences having a rigid schedule, with back to back sessions, some even running parallel to each other and add to this the work schedule of employees and their varying skills level and interests, companies and employees face variety of issues to be sorted out before employees can actually figure out which session to attend. The main objective of this project is to take the interest of the employee into account and develop an optimized schedule for 6 Daimler employees who have to attend a three-day training conference being organized by IBM. The primary metrics used for this schedule planning are the availability of employee, their skill level, and the area of preference. To increase overall coverage of sessions, we came up with a model that does not assign the same session to two employees. The model also assures that no time slot is left vacant. This helped with increasing the scope of learning. Currently, Daimler has a traditional and delegated approach, where another employee was given the task of going through the list of sessions and to choose the sessions each attendee should attend. The main problem with this approach is that the entire decision of selecting sessions is manual and hence not very personalized. This paper attempts to propose a scheduling tool based on excel to cope with the complex task of picking the best session to be attended by an employee based on their pillar preferences. Title: Employee Training Schedule Optimization Author: Alzahrani, Ahmed, Gupta, Apeksha, Hsu, Allen Wei Chen, Tiwari, Rashi, Vinchhi, Komal Year: 2016 As the amount of technical information explodes in volume and technical professionals struggle with staying current with the latest information, one important channel is the large scale trade or technical conference. Bringing value back to business by keeping employees up to date with trends in the industry is something that a company expects when it invests time and money in sending its employees to such conferences. To choose sessions from a large conference is an exacting job for employees as they need to scroll over such huge data set and select the best session that matches their interest and preferences. This results in large number of employee hours consumed, which ultimately can prove expensive to a company. Due to these reasons, organizations might find formal planning methods beneficial to get the best return on their investment. To test this, we are examining the case of a major automotive industry company named Daimler Trucks North America. This company is sending six of its employees from the IT department to attend a conference conducted by IBM called “World of Watson”. Human Resource and IT capability being key resources to create competition and differentiating factors between two companies. Training presents a prime opportunity to expand the knowledge base of all employees, but companies and employees alike find this activity a little taxing, what with training conferences having a rigid schedule, with back to back sessions, some even running parallel to each other and add to this the work schedule of employees and their varying skills level and interests, companies and employees face variety of issues to be sorted out before employees can actually figure out which session to attend. The main objective of this project is to take the interest of the employee into account and develop an optimized schedule for 6 Daimler employees who have to attend a three-day training conference being organized by IBM. The primary metrics used for this schedule planning are the availability of employee, their skill level, and the area of preference. To increase overall coverage of sessions, we came up with a model that does not assign the same session to two employees. The model also assures that no time slot is left vacant. This helped with increasing the scope of learning. Currently, Daimler has a traditional and delegated approach, where another employee was given the task of going through the list of sessions and to choose the sessions each attendee should attend. The main problem with this approach is that the entire decision of selecting sessions is manual and hence not very personalized. This paper attempts to propose a scheduling tool based on excel to cope with the complex task of picking the best session to be attended by an employee based on their pillar preferences. Close