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• 1. [Article] Dilemmas in Not Invented Here Syndrome

  Not Invented Here syndrome has many negative effects on the performance of companies. However, there are several ways companies can work to overcome NIH syndrome. Some of the most important aspects when ...

  Citation × Citation Citation Abstract Copy Title: Dilemmas in Not Invented Here Syndrome Author: Chanamolu, Surekha, Hanayneh, Shihab, Misiewicz, Lennae, Mohammed, Marthed, Nayame, Jacqueline Year: 2017 Not Invented Here syndrome has many negative effects on the performance of companies. However, there are several ways companies can work to overcome NIH syndrome. Some of the most important aspects when it comes to identifying and overcoming NIH syndrome include performance and communication, optimal performance and tenure, the absorptive capacity paradox, intra-organizational communication, experience with external knowledge, and poorly balanced incentive systems. NIH syndrome typically begins when a company feels that their identity is threatened and therefore they reject information from other companies or organizations. The focus of this paper is to address the manifestations, causes, and consequences of NIH syndrome. Title: Dilemmas in Not Invented Here Syndrome Author: Chanamolu, Surekha, Hanayneh, Shihab, Misiewicz, Lennae, Mohammed, Marthed, Nayame, Jacqueline Year: 2017 Not Invented Here syndrome has many negative effects on the performance of companies. However, there are several ways companies can work to overcome NIH syndrome. Some of the most important aspects when it comes to identifying and overcoming NIH syndrome include performance and communication, optimal performance and tenure, the absorptive capacity paradox, intra-organizational communication, experience with external knowledge, and poorly balanced incentive systems. NIH syndrome typically begins when a company feels that their identity is threatened and therefore they reject information from other companies or organizations. The focus of this paper is to address the manifestations, causes, and consequences of NIH syndrome. Close

• 2. [Article] Financial Analysis of Automated CNC Systems for Nike’s Mold and Tooling Center

  The aim of this paper is to document the process of investigating the option of replacing existing machines used to create new design molds for shoes. Nike’s management is aware of production inefficiencies ...

  Citation × Citation Citation Abstract Copy Title: Financial Analysis of Automated CNC Systems for Nike’s Mold and Tooling Center Author: Alheayk, Zuhair, Alsuwaida, Ahlam, Hanayneh, Shihab, Iverson, Shane, Paneerselvam, Sridharkumar, White, Zachary Year: 2015 The aim of this paper is to document the process of investigating the option of replacing existing machines used to create new design molds for shoes. Nike’s management is aware of production inefficiencies at the Mold and Tooling Center (MTC), which are causing orders backlog. As a result, many design departments outsource new design processes to third party venders in order to keep their schedules on time. This paper discuss analysis of three options that management might consider prior to make a final decision. First, keep using the existing machines and maintain the same capacity level; which would allow some design departments to outsource services through a third party. Second option, is to hire more machinist to operate the existing system with the objective of eliminating backlog. The third option is to replace three non-­‐automated machines with a new set of CNC fully automated machines; and implement a policy of zero outsourcing. Title: Financial Analysis of Automated CNC Systems for Nike’s Mold and Tooling Center Author: Alheayk, Zuhair, Alsuwaida, Ahlam, Hanayneh, Shihab, Iverson, Shane, Paneerselvam, Sridharkumar, White, Zachary Year: 2015 The aim of this paper is to document the process of investigating the option of replacing existing machines used to create new design molds for shoes. Nike’s management is aware of production inefficiencies at the Mold and Tooling Center (MTC), which are causing orders backlog. As a result, many design departments outsource new design processes to third party venders in order to keep their schedules on time. This paper discuss analysis of three options that management might consider prior to make a final decision. First, keep using the existing machines and maintain the same capacity level; which would allow some design departments to outsource services through a third party. Second option, is to hire more machinist to operate the existing system with the objective of eliminating backlog. The third option is to replace three non-­‐automated machines with a new set of CNC fully automated machines; and implement a policy of zero outsourcing. Close

• 3. [Article] Big Data Analytics

  In the early 2000s, the proliferation of data volume led organizations’ information technology departments to get in a critical situation in terms of data scalability. This was due to the insufficiency ...

  Citation × Citation Citation Abstract Copy Title: Big Data Analytics Author: Hanayneh, Shihab, Roschke, Jon, Salek, Sadaf, Shaygan, Amir, Suzuki, Juliana, Valentine, Timothy Year: 2016 In the early 2000s, the proliferation of data volume led organizations’ information technology departments to get in a critical situation in terms of data scalability. This was due to the insufficiency of available hardware connected to storage and CPU in dealing with catapulting data volumes. Technology however, bounced back in the following years thanks to Moore’s law [1] leading to the production of faster, smarter, bigger (In terms of capacity) and cheaper CPUs and storage. These breakthroughs in technology enabled companies to embrace the high data volume to their advantage. At the time, the outcomes of technology could be seen anywhere; cellphones and laptops were inseparable from people, and IT systems were being used in back offices in most companies. The focus on information itself however was minimal before that. Decades after computers had become ubiquitous, the accrued data and speed at which it was being produced led areas such as astronomy and genomics to make use of it and turn those quantitative shifts into qualitative ones by gaining new insights [2]. In the same time-frame, the term “Big Data” was coined. Big Data is now being applied to many areas of human endeavor such as Healthcare, Politics, Retail habits, and advertising among many others. Title: Big Data Analytics Author: Hanayneh, Shihab, Roschke, Jon, Salek, Sadaf, Shaygan, Amir, Suzuki, Juliana, Valentine, Timothy Year: 2016 In the early 2000s, the proliferation of data volume led organizations’ information technology departments to get in a critical situation in terms of data scalability. This was due to the insufficiency of available hardware connected to storage and CPU in dealing with catapulting data volumes. Technology however, bounced back in the following years thanks to Moore’s law [1] leading to the production of faster, smarter, bigger (In terms of capacity) and cheaper CPUs and storage. These breakthroughs in technology enabled companies to embrace the high data volume to their advantage. At the time, the outcomes of technology could be seen anywhere; cellphones and laptops were inseparable from people, and IT systems were being used in back offices in most companies. The focus on information itself however was minimal before that. Decades after computers had become ubiquitous, the accrued data and speed at which it was being produced led areas such as astronomy and genomics to make use of it and turn those quantitative shifts into qualitative ones by gaining new insights [2]. In the same time-frame, the term “Big Data” was coined. Big Data is now being applied to many areas of human endeavor such as Healthcare, Politics, Retail habits, and advertising among many others. Close