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Business Intelligence and Data Mining to Support Sales in Retail
10 references·1 citing·42 second hop
Business Intelligence and Data Mining to Support Sales in Retail (2019)Business Intelligence and Data Mining to …Business analytics and business value: A comparative case study (2018)Business analytics and busine…Business analytics: Why now and what next? (2014)Business analytics: Why now a…Data science for business (2013)Data science for businessBusiness Intelligence and Analytics: From Big Data to Big Impact (2012)Business Intelligence and Ana…The research & application of Business Intelligence system in retail industry (2008)The research & application of…Cross-Selling (2008)Cross-SellingCreating and consuming experiences in retail store environments: Comparing retailer and consumer perspectives (2006)Creating and consuming experi…Competing on analytics. (2006)Competing on analytics.Democracy Barometer. Methodology. Version 4. (2004)Democracy Barometer. Methodol…An overview of data warehousing and OLAP technology (1997)An overview of data warehousi…Business Intelligence and Data Mining: Opportunities and Future (2021)Business Intelligence and Dat…Research in Organizational Behavior (1984)The balanced scorecard : measures that drive performance (1992)The balanced scorecard--measures that drive performance. (1992)How data analytics is transforming agriculture (2017)Big data techniques in auditing research and practice: Current trends and future opportunities (2018)Tackling the HR digitalization challenge: key factors and barriers to HR analytics adoption (2020)Data Cleaning: Problems and Current Approaches. (2000)Exploratory Data Mining and Data Cleaning (2003)Building a Data Warehouse (2008)An overview of business intelligence technology (2011)Data quality requirements analysis and modeling (2002)Schema Evolution in Data Warehouses (2002)Business Intelligence for Telecommunications (2006)The critical incident technique. (1954)The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun (1982)Case Study Research: Design and Methods (1984)Experience Marketing: Concepts, Frameworks and Consumer Insights (2011)Consumer Experience and Experiential Marketing: A Critical Review (2013)Enabling smart retail settings via mobile augmented reality shopping apps (2016)Firm Resources and Sustained Competitive Advantage (1991)Firm resources and sustained competitive advantage (2004)Digital transformation in entrepreneurial firms through information exchange with operating environment (2019)Big Data, Marketing Analytics, and Firm Marketing Capabilities (2021)Towards data-driven decision making: the role of analytical culture and centralization efforts (2023)Applying latent trait analysis in the evaluation of prospects for cross-selling of financial services (1991)Cross-selling through database marketing: a mixed data factor analyzer for data augmentation and prediction (2003)Cross-Selling Sequentially Ordered Products: An Application to Consumer Banking Services (2005)Analytics for Customer Engagement (2010)Contingent cross-selling and up-selling relationships with performance and job satisfaction: an MOA-theoretic examination (2014)Are Happy Workers More Productive? The Mediating Role of Service-Skill Use (2020)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)11 Evidence in Management and Organizational Science: Assembling the Field’s Full Weight of Scientific Knowledge Through Syntheses (2008)Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management (2017)Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience (2019)Data Science and Prediction (2012)A foundational framework for smart sustainable city development: Theoretical, disciplinary, and discursive dimensions and their synergies (2017)On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review (2019)Sustainable and renewable energy supply chain: A system dynamics overview (2017)Multi-output bus travel time prediction with convolutional LSTM neural network (2018)Just urban futures? Exploring equity in “100 Resilient Cities” (2019)
this work references cited by second hop

References

  • 2012Business Intelligence and Analytics: From Big Data to Big Impact6,241 cited
  • 1997An overview of data warehousing and OLAP technology2,424 cited
  • 2004Democracy Barometer. Methodology. Version 4.2,369 cited
  • 2006Competing on analytics.994 cited
  • 2006Creating and consuming experiences in retail store environments: Comparing retailer and consumer perspectives350 cited
  • 2014Business analytics: Why now and what next?133 cited
  • 2013Data science for business123 cited
  • 2018Business analytics and business value: A comparative case study123 cited
  • 2008Cross-Selling85 cited
  • 2008The research & application of Business Intelligence system in retail industry24 cited

Cited by

  • 2021Business Intelligence and Data Mining: Opportunities and Future8 cited

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