Arie de Geus (1997) identified four main traits for a successful firm; the first is the ability to change with a changing environment (Lovas & Ghoshal, 2000, p.875). A successful firm is capable of creating community vision, purpose, and personality, and it is able to develop and maintain working relationships. Lastly, a successful firm has conservative financing strategies, and is able to learn to perpetuate it. Self-perpetuation is a strategy identified in this study as necessary for current business strategies to survive in today's market.
Role of Technology in Business Strategy
Business strategy is continually evolving as information technology and business process redesign assist in the innovative design of central business processes (Broadbent, Don & Weill, 1999, p.159). New it systems have contributed to the reduction of coordination, production and information costs (Broadbent, Don & Weill, 1999, p.160). This research finds that there is evidence from literature that there is a close relationship between the evolution of strategic context in businesses, investment in it, and the nature of business processes (Bradbent, Don & Weill, 1999, p.160). The evolution of business strategies has varied depending on the technology used. The purpose for focusing on technology-driven strategies is to reveal to organizations faced with the ethical dilemma of using Big Data, that technology drives growth and formulates organizational strategies successfully today. Analysis reveals that technology-driven strategies are also suitable for small-scale entrepreneurs, when technological insights intersect with market insights. Technology insights that support business strategies are, distance-learning tools, fly-by-wire technology, electronics, engineering software, satellite tracking technologies, wireless and hand-held devices, supply chain integration, e-commerce and call centers (Berman & Hagan, 2006, p.33). Technology-driven strategy approach follows a parallel development for the following steps, strategy, plan, prototype, design, build, launch, and operate, while traditional business strategies follow a sequential approach (Berman & Hagan, 2006, p.32). These approaches offer a business a competitive advantage, especially in today's markets. It is for these reasons that this research analyzes the impact Big Data and Technology have on business strategies today.
Technology-driven strategies have an advantage over traditional business strategies, since they allow businesses to participate in strategy prototyping, which allows for the testing of strategies prior to implementation (Berman & Hagan, 2006, p.34). In addition, technology-driven strategies focus on exploration of new unprecedented products and services, new markets segments, and new operational capabilities. These offers a business a competitive edge as compared to the traditional strategies that emphasis on known suppliers, competition and targeted markets (Berman & Hagan, 2006, p.34). Therefore, it is evident that there are various approaches to business strategy. This leads this study to map out the history and evolution of business strategy and the advent of Big Data and technology in today's contemporary world.
The use of technology in business strategy has evolved over the decades to follow a chronological order. Currently, the business world is using the client/server personal computer networks with technologies like the mainframe support being obsolete. The first technology to find wide application in businesses was the mainframe. Attempts to get rid of the mainframe and replace it with an all PC network have failed, with systems failed and information was lost or misplaced (Gatian and Krumwide, 1995, p.10). The mainframe of technology is to sustain various technologies for large and small corporations. This is because it is a reliable and efficient technology in processing information needs for a business and is as an anchor for other processors. Mainframe assists in the organization and processing of various behavioral, financial and technical challenges that organizational managers face when implementing business strategies. Back then, the mainframe assisted businesses to crunch numbers, especially for the big corporations and the government. This then led to the combination of the mainframe with the PC system into one system by International Business Machines Corporation (IBM) in the 1980s (Miller, 1988, p.1). The combination led to a major change in the technological and business world following the development of the prototype IBM PC in 1980. The combination of the mainframe with the PC increased the power and ability of the mainframes to draw data and compute. This integration increased the ability of corporations to process data as compared to the traditional method of connecting PCs to the mainframe (Miller, 19888, p.1).
The revolution of it and its use in businesses is due to the personal computer and local area network technology. According to Lane (1993), the first PCs appeared in the 1970s and found their use in business, where they offered tools like VISICALC and spreadsheets that support business and finance planning. The first personal computer to find its way to the business field...
Big Data Faris (2013) speculates as to whether NSA leaks will compromise big data's future. The article, published on the website Dataversity, notes that there is public concerns about data leaks at NSA. Consumers are becoming more aware about just how much of their information is available to the government. The author calls into question the dichotomy of private data and public data, in particular were corporate entities are gathering data,
Big Data Shopping Big data is a relatively recent concept in the marketing world, that describes the process of analyzing massive data sets to unearth trends. The data sets are so large that it would be almost impossible to find such trends without high-powered analytical technology. Big data has been facilitated by the ability to gather massive amounts of information about consumer profiles and shopping trends. The primarily facilitators of big
Zaslavsky is the leader of the Semantic Data Management Science Area (SMSA). He has published more than 300 publications on science and technology. Perera has vast experience in computing and technology as he is a member of the Commonwealth Scientific and Industrial Research Organization alongside publishing numerous journals. Georgakopoulos is the Director of Information Engineering Laboratory. He has published over 100 journals on issues related to science and technology
Big data is a new frontier in innovation, characterized by vast data sets that require extensive computer processing to spot trends, and improve productivity. The ability to gather such data sets and effectively translate them in to strategy is seen as a new way of competing and innovating (Manyika et al., 2011). My area of interest is fashion, an area where creativity remains more important than data processing. Yet, big
India's cities, on the other hand, are often overcrowded, leading to separate issues within the city regarding high retail space and rent considerations. Economic Factors The economic outlook in India is extremely positive. The free market structure is gaining speed in India Recent governmental changes in 1991 have helped capitalize on a freer economic structure in the region by lessoning high tariff barriers for foreign companies looking to enter into the Indian
Authors Note: Rosenbaum is technology and retail analysts. She writes articles for the New York Times and Forbes. Saikali, A. (2013, December 30). The Target Data Breach Lawsuits: Why every Company Should Care. Data Security Law Journal. Retrieved from: http://www.datasecuritylawjournal.com/2013/12/30/the-target-data-breach-lawsuits-why-every-company-should-care/ The article provides insight on the number of lawsuits filed against different organizations and strengthens the need for the companies to protect their information from data breach. The article shows the significant
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