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Challenges of Identifying and Utilizing Big Data Analytics in a Resource-Constrained Environment: In the Case of Ethiopia
16 references·0 citing·43 second hop
Challenges of Identifying and Utilizing Big Data Analytics in a Resource-Constrained Environment: In the Case of Ethiopia (2019)Challenges of Identifying and Utilizing B…Utilizing big data analytics for information systems research: challenges, promises and guidelines (2016)Utilizing big data analytics …Transformational Issues of Big Data and Analytics in Networked Business (2016)Transformational Issues of Bi…Analysis of Big Data technologies for use in agro-environmental science (2016)Analysis of Big Data technolo…Studying Organizations Using Critical Realism: A Practical Guide (2014)Studying Organizations Using …Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Data-intensive applications, …Big-data applications in the government sector (2014)Big-data applications in the …Big Data: A Survey (2014)Big Data: A SurveyB ig D ata and analytics in higher education: Opportunities and challenges (2014)B ig D ata and analytics in h…Big Data: Issues and Challenges Moving Forward (2013)Big Data: Issues and Challeng…Business Intelligence and Analytics: From Big Data to Big Impact (2012)Business Intelligence and Ana…Developing Health Information Systems in Developing Countries: The Flexible Standards Strategy1 (2007)Developing Health Information…Demonstrating Rigor Using Thematic Analysis: A Hybrid Approach of Inductive and Deductive Coding and Theme Development (2006)Demonstrating Rigor Using The…A Set of Principles for Conducting and Evaluating Interpretive Field Studies in Information Systems1 (1999)A Set of Principles for Condu…Transforming Qualitative Information: Thematic Analysis and Code Development (1998)Transforming Qualitative Info…Beyond Accuracy: What Data Quality Means to Data Consumers (1996)Beyond Accuracy: What Data Qu…Interpretive case studies in IS research: nature and method (1995)Interpretive case studies in …Out of the Crisis (1982)Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (1991)Information Systems Success: The Quest for the Dependent Variable (1992)Data quality assessment (2002)The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach (2002)Measuring information systems success: models, dimensions, measures, and interrelationships (2008)THE DISCOVERY OF GROUNDED THEORY: STRATEGIES FOR QUALITATIVE RESEARCH. By Barney G. Glaser and Anselm L. Strauss. Chicago: Aldine Publishing Company, 1967. 271 pp. $6.75 (1968)Case Study Research: Design and Methods (1984)Doing interpretive research (2006)The Nature of Theory in Information Systems1 (2006)Does Sample Size Matter in Qualitative Research?: A Review of Qualitative Interviews in is Research (2013)The Interpretation of Cultures (2017)Big data: The next frontier for innovation, competition, and productivity (2011)The World’s Technological Capacity to Store, Communicate, and Compute Information (2011)Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data (2011)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Critical analysis of Big Data challenges and analytical methods (2016)A survey on deep learning for big data (2017)Dilemmas in a general theory of planning (1973)The black swan: the impact of the highly improbable (2007)The pathologies of big data (2009)Big data: Issues, challenges, tools and Good practices (2013)Promoting novelty, rigor, and style in energy social science: Towards codes of practice for appropriate methods and research design (2018)Policy Paradox: The Art of Political Decision Making (1997)Applications of big data to smart cities (2015)Debating big data: A literature review on realizing value from big data (2017)Doing Qualitative Research (1999)Qualitative research & evaluation methods (2002)Document Analysis as a Qualitative Research Method (2009)Developing and Using a Codebook for the Analysis of Interview Data: An Example from a Professional Development Research Project (2010)Being and Time (1927)The Constitution of Society. Outline of the Theory of Structuration (1984)Bridging the Qualitative–Quantitative Divide: Guidelines for Conducting Mixed Methods Research in Information Systems1 (2013)An index to quantify an individual's scientific research output (2005)Big data: a revolution that will transform how we live, work, and think (2013)The role of big data in smart city (2016)Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)Using thematic analysis in psychology (2006)Thematic Analysis (2017)Reflecting on reflexive thematic analysis (2019)Beyond the hype: Big data concepts, methods, and analytics (2014)Understanding Customer Experience Throughout the Customer Journey (2016)Digital transformation: A multidisciplinary reflection and research agenda (2019)
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References

  • 1998Transforming Qualitative Information: Thematic Analysis and Code Development13,496 cited
  • 2006Demonstrating Rigor Using Thematic Analysis: A Hybrid Approach of Inductive and Deductive Coding and Theme Development13,172 cited
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  • 1999A Set of Principles for Conducting and Evaluating Interpretive Field Studies in Information Systems15,261 cited
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  • 1995Interpretive case studies in IS research: nature and method3,834 cited
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  • 2007Developing Health Information Systems in Developing Countries: The Flexible Standards Strategy1459 cited
  • 2014Studying Organizations Using Critical Realism: A Practical Guide298 cited
  • 2016Transformational Issues of Big Data and Analytics in Networked Business296 cited
  • 2016

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Utilizing big data analytics for information systems research: challenges, promises and guidelines
283 cited
  • 2016Analysis of Big Data technologies for use in agro-environmental science211 cited
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