[
  {
    "id": "10.4018/IJESMA.2020010103",
    "type": "article-journal",
    "title": "Predictors of e-service Consumption in a Highly Productive Brazil-Russia-India-China-South Africa Region Sample",
    "author": [
      {
        "family": "Strang",
        "given": "Kenneth David"
      },
      {
        "family": "Vajjhala",
        "given": "Narasimha Rao"
      }
    ],
    "container-title": "International Journal of E-Services and Mobile Applications",
    "issued": {
      "date-parts": [
        [
          2020
        ]
      ]
    },
    "volume": "12",
    "issue": "1",
    "page": "39-56",
    "publisher": "IGI Global",
    "DOI": "10.4018/IJESMA.2020010103",
    "URL": "https://www.narasimharao.net/research/e-service-consumption-predictors-brics-india-consumers/",
    "abstract": "The authors investigated consumer e-commerce behavior in a Brazil-Russia-India-China-South-Africa (BRICS) region from a socio-cultural perspective. BRICS countries are important to study because they have a large population representative of other global e-services markets, they account for 40% of the world’s population, 26% of the world’s land and approximately a third of the world’s gross domestic economic e-commerce production, plus residents are habitual consumers of mobile technology like smartphones. A binary logistic regression model revealed that young educated consumer satisfaction with e-services, e-service happiness, positive feelings and e-service pleasant feelings, but not e-service excitement, could predict purchase behavior. The model correctly classified 87.3% of the e-commerce consumers using two factors and a second model with one factor correctly categorized 90.5% of them. These results are important for managers and academics to consider.",
    "keyword": "Brazil-Russia-India-China-South-Africa, Empirical Predictive Model Study, Mobile E-Services, Online Purchase Behavior, Socio-Cultural Factors, e-services, e-commerce, online consumer behavior, purchase intention, BRICS, India, consumer satisfaction, socio-cultural factors, binary logistic regression, discriminant analysis, mobile e-services, young consumers, emerging markets",
    "language": "en"
  }
]