This research reviews a comprehensive and somehow chronological literature in the models and frameworks of competition and strategy. Strategic management research is shaped around a core question that why some firms outperform others; several significant lines of work have emerged in the strategic management field since its infancy. These include industrial organization, the resource-based view and dynamic capabilities. Also, Competition essentially has been the focal point of scholars with diverse perspectives such as industrial economics and structural analysis, strategic groups, game theory, and competitive dynamics. In this research, we represent and summarize different perspectives of scholars in framing competition and strategy that is related to theory of the firm and differential firm performance; also, we show that there is a trend from static to dynamic frameworks of strategy and competition which have tried to find an answer to differential firm performance. Finally, we conclude by addressing the potential for utilizing new dynamic and systemic perspectives regarding theorizing dynamics of strategy and competition.

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The applications of Big Data continue to expand, due to the many possibilities and unprecedented insights it offers to people, organizations, and communities. However, Big Data poses serious challenges as well, including challenges to the privacy and security of individuals and their data. This paper considers how to best address one concern related to Big Data: the social problems that the pervasiveness of data collection, analysis, and storage create with regard to individuals' ability to control their own data. The paper uses Quality Function Deployment (QFD) and Technology Roadmapping analysis methods to assess the social problems, technologies, resources, and industries that are most relevant to data privacy, and what should be done to address it. The findings indicated that the healthcare industry is one of the most important industries to consider concerning data privacy because of the nature of the data generated through medical processes and technologies. Furthermore, it was found that enforcement mechanisms, specifically in the form of federal enforcement agencies, are the most effective approach to ensure compliance by actors. It was also realized that there are extenuating political circumstances and increased costs that make the implementation of those policies challenging in the United States. I.

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