[
  {
    "id": "10.1142/S179300571740004X",
    "type": "article-journal",
    "title": "Measuring Organizational-Fit Through Socio-Cultural Big Data",
    "author": [
      {
        "family": "Vajjhala",
        "given": "Narasimha Rao"
      },
      {
        "family": "Strang",
        "given": "Kenneth David"
      }
    ],
    "container-title": "New Mathematics and Natural Computation",
    "issued": {
      "date-parts": [
        [
          2017,
          7,
          3
        ]
      ]
    },
    "volume": "13",
    "issue": "2",
    "page": "145-158",
    "publisher": "World Scientific Publishing Company",
    "ISSN": "1793-0057",
    "DOI": "10.1142/S179300571740004X",
    "URL": "https://www.narasimharao.net/research/organizational-fit-socio-cultural-big-data/",
    "abstract": "We propose that businesses, government, and not-for-profit entities could benefit from a better understanding of organizational behavior through the lens of a contemporary global culture model. Human resourcing and partnering decisions could be improved by using global culture to ensure a better organizational-fit as well as to reduce the risk of destructive relationship dependencies. For an extreme-limits example, a company could inadvertently hire a terrorist or a social loafer seeking to steal competitive intelligence. A big data approach supported by a socio-cultural framework could help in hypothesis testing which is essential for advancing the body of knowledge in organizational behavior. This paper will make a scholarly contribution by identifying literature relevant to collecting and analyzing organizational big data that could explain beneficial socio-cultural behavior. This paper will explore how sources of qualitative big data could be collected and then analyzed to measure organizational-fit factors relevant for decision-making.",
    "keyword": "Big data, qualitative, organizational behavior, culture, organizational-fit, decision-making, big data, organizational fit, organizational culture, national culture, Hofstede cultural dimensions, GLOBE model, Competing Values Framework, social media data, cultural sociology, big data V model, viability dimension, hypothesis testing",
    "language": "en"
  }
]