Contributing to Theory: Independent, Mediating, Moderating and Dependent Variables
Business environment are continuously changing and therefore influencing organizational effectiveness. Factors such as knowledge sharing, organization systems and data analytics can streamline how organization leverage result and optimize performance. According to Okyere-Kwakye, & Nor (2011), “knowledge management has changed the paradigm of most organizations by turning the organizational climate to be a learning block where knowledge is discovered, captured, shared and applied to maximize and actualize their goals and objectives” (p. 66). As a result, this paper will examine four research articles in an effort to gain meaningful insight and understand of research design.
Bid Data and Organizational Value
Today’s businesses are challenged by competition and the ability to maintained sustainability. As a result, leaders are must find new innovative ways to leverage performance and increase organization values. Business analytics in the form or big data is one of the approach leaders are using to leverage performance and value. The study by LaValle, Lesser, Shockley, Hopkins, & Kruschwitz, (2011) aim to take an in depth look at the relationship between information in the form of big data and organizational value.
The Theory of the Research
The theory of the research is that organization’s competitiveness and value is link to information data analytics. This means that in order for organization to be successful in today’s competitive business environment information and analytics must be engraved in the organization’s strategic plan. The key constructs is, organization value and analytics in terms of data or information. Furthermore, the study aims ...
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...Kinnon, D. P. (2009). A general model for testing mediation and moderation effects. Prevention Science, 10(2), 87-99. doi:10.1007/s11121-008-0109-6
Floridi, L. (2012). Big data and their epistemological challenge. Philosophy & Technology, 25(4), 435-437. doi:http://dx.doi.org/10.1007/s13347-012-0093-4
Gruzova, A. A. (2012). The role of the information service of an organization in introducing a corporate information system. Scientific and Technical Information Processing, 39(4), 199-203. doi:http://dx.doi.org/10.3103/S0147688212040028
LaValle, S., Lesser, E., Shockley, R., Hopkins, M. S., & Kruschwitz, N. (2011). Big data, analytics and the path from insights to value. MIT Sloan Management Review, 52(2), 21-32.
Okyere-Kwakye, E., & Nor, K. M. (2011). Individual factors and knowledge sharing. American Journal of Economics and Business Administration, 3(1), 66-72.
Zhihong, L., Zhu, T., & Fang, L. (2010, April). A study of the influence of organizational climate on knowledge-sharing behavior in IT enterprises. Journal of Computers, 5(4), 508-513.
Harkness, W. L. (1996, Sep). Process Improvement and Innovation in the Information Services Function: Lessons Learned at the Bose Corporation. pp. pp.349-368.
The management of knowledge within the context of organizational processes is a determining factor of its effectiveness and level of performance. Hislop (2013) stated, "One of the key distinctions in the knowledge management literature relates to epistemology" (p. 8). In an attempt to acquire an in-depth understanding of key aspects of knowledge management I will analyze a key organizational job position that possesses valuable experience and traits of fulfilling responsibilities. My analysis will include a description of the organization and position, a review of the perspectives and types of knowledge, as described by Hislop (2013), as they relate to the job position, and the challenges encountered in transferring
Predictive and Text Analysis on Big Data – Being able to forecast data and analyse critical information for the company.
T.D. Wilson (2002) makes a point of identifying several sources of articles, references and course syllabi with varying takes on knowledge management within organizations. Wilson is convinced that organizations misuse the terminology “knowledge management” and that their activities are more concerned with managing information than with the management of knowledge (Wilson, 2002). Wilson defines knowledge as involving “the mental processes of comprehension” or, as “what we know” and information as the expression of what we know and can convey through messages (Wilson, 2002). By researching the use of the “knowledge management” Wilson conveys that the terms knowledge and information are used interchangeably, which results in an inaccurate application
Now days, companies are searching for new ways of gathering data so that they can get useful data in order to make well informed decisions regarding the market they are operating in. Google analytics is considered one of the best tools offers extensive amount of data to business owners for free. However, the success of business is highly depended on how well they can arrange data and customize their collected data corresponded to their business priorities. Google analytics provides beneficial information for companies regardless of their extent of operation.
In today’s society, technology has become more advanced than the human’s mind. Companies want to make sure that their information systems stay up-to-date with the rapidly growing technology. It is very important to senior-level executives and board of directions of companies that their systems can produce the right and best information for their company to result in a greater outcome and new organizational capabilities. Big data and data analytics are one of those important factors that contribute to a successful company and their updated software and information systems.
In short, the Big Data challenges for organizations and enterprises in today's digital age. Once mastered big data, they will have greater chances of success in today's competitive environment, the world would benefit more from the extracted information more accurately, more useful lower costs. Still the criticism revolves around Big Data, however, the field is still very new and we'll see in future Big Data will evolve like.
The 21st century has brought with itself an explosion of data and increasing technological ability of our generation to collect, analyse and manipulate enormous amounts of data is what big data is all about. Being a student of a reputed b-school, big data, its analysis and emerging trends across the globe has definitely been a topic of consideration. The basic question is data analysis and big data one and the same? Well, the difference lies in the enormity of the data size. Huge amount of data reveals better trends, unseen correlations and things which could not be comprehended from a smaller data set. Basically apart from answering the usual ‘why’, big data also helps to answer ‘what’
Hansen M., Nohria N., and Tierney T. (1999), “What’s your Strategy for Managing Knowledge?,” Harvard Business Review (March 1999), 106–16.
For the past couple of decades the majority of businesses have wanted to construct a data-driven organization or company. Furthermore, companies around the world are considering harnessing data as a basis of competitive advantage over other companies. As a result, business intelligence and data science use are popular in many organizations today. The increase in adoption of these data systems is in response to the heavy rise in communications abilities the world over. Which, in turn ,has increased the need for data products. Indeed, the Data Scientist profession is emerging to be one of the better-paying professions due to the urgent need of their labor. This paper is going to discuss what business intelligence is all about and explain data science that is usually confused to be similar to business intelligence. I will tackle a brief overview of data scientists and their role in organizations.
In most organizations, effective utilization of knowledge increases productivity, creates competitive advantage and, ultimately, improves profits.
Moody, J. (2011). Strengthening prevention program theories strengthening prevention program theories. Society for Prevention Research, 349-360.
...at to expect from our society and consumers is very key in the business world. With business intelligence and Data Mining strategies and skills, companies can have that extra competitive edge which will in turn increase profits and market share. The skills gained by those employees who specialize in the BI and DM fields will continue to be top-notch assets to companies and based on the salary trends, they will continue to have increasing compensation. Businesses that implement BI and DM effectively will dominate their markets and stay ahead of the curve.