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Coping with demand volatility in retail pharmacies with the aid of big data exploration
16 references·11 citing·35 second hop
Coping with demand volatility in retail pharmacies with the aid of big data exploration (2017)Coping with demand volatility in retail p…Big data analytics in logistics and supply chain management: Certain investigations for research and applications (2016)Big data analytics in logisti…Analytics for an Online Retailer: Demand Forecasting and Price Optimization (2015)Analytics for an Online Retai…Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)Data quality for data science…Beyond the hype: Big data concepts, methods, and analytics (2014)Beyond the hype: Big data con…Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management (2013)Data Science, Predictive Anal…Predicting the Present with Google Trends (2012)Predicting the Present with G…Business Intelligence and Analytics: From Big Data to Big Impact (2012)Business Intelligence and Ana…Google Econometrics and Unemployment Forecasting (2009)Google Econometrics and Unemp…Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Data Mining Techniques: For M…Vector Autoregressions (2001)Vector AutoregressionsInformation Distortion in a Supply Chain: The Bullwhip Effect (1997)Information Distortion in a S…Likelihood-Based Inference in Cointegrated Vector Autoregressive Models (1995)Likelihood-Based Inference in…Forecasting methods and applications (1993)Forecasting methods and appli…Testing for a Unit Root in Time Series Regression (1988)Testing for a Unit Root in Ti…Time Series Analysis: Forecasting and Control. (1978)Time Series Analysis: Forecas…Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis, Forecas…Adoption of AI by micro and small health enterprises: effects of entrepreneurial orientation on the TOE model (2025)Adoption of AI by micro and s…Navigating the acceptance of implementing business intelligence in organizations: A system dynamics approach (2023)Navigating the acceptance of …Big data optimisation and management in supply chain management: a systematic literature review (2023)Big data optimisation and man…Analyzing and forecasting service demands using human mobility data: A two-stage predictive framework with decomposition and multivariate analysis (2023)Analyzing and forecasting ser…Two Decades of Research on Consumer Behaviour and Analytics (2022)Two Decades of Research on Co…Managing demand volatility of pharmaceutical products in times of disruption through news sentiment analysis (2022)Managing demand volatility of…On relating big data analytics to supply chain planning: towards a research agenda (2021)On relating big data analytic…Inventory management for retail companies: A literature review and current trends (2021)Inventory management for reta…Mitigating Demand Risk of Durable Goods in Online Retailing (2020)Mitigating Demand Risk of Dur…Social Media Big Data Analytics for Demand Forecasting (2019)Social Media Big Data Analyti…Data Analytics in CRM Processes: A Literature Review (2017)Data Analytics in CRM Process…Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Trends and random walks in macroeconmic time series (1982)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Unit root tests in panel data: asymptotic and finite-sample properties (2002)A simple panel unit root test in the presence of cross‐section dependence (2007)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Statistical analysis of cointegration vectors (1988)MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY (1990)Generalized impulse response analysis in linear multivariate models (1998)Numerical distribution functions of likelihood ratio tests for cointegration (1999)Bounds testing approaches to the analysis of level relationships (2001)Big data: The next frontier for innovation, competition, and productivity (2011)Data quality management, data usage experience and acquisition intention of big data analytics (2014)Critical analysis of Big Data challenges and analytical methods (2016)Machine learning on big data: Opportunities and challenges (2017)Setting the future of digital and social media marketing research: Perspectives and research propositions (2020)How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study (2015)The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)25 years of time series forecasting (2006)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Arcs of integration: an international study of supply chain strategies (2001)DEFINING SUPPLY CHAIN MANAGEMENT (2001)Perspectives in supply chain risk management (2006)Understanding Customer Experience Throughout the Customer Journey (2016)Digital transformation: A multidisciplinary reflection and research agenda (2019)In Search of Attention (2011)Big data in tourism research: A literature review (2018)Text as Data (2019)Principles of forecasting : a handbook for researchers and practitioners (2001)The politics of attention: how government prioritizes problems (2006)Long memory relationships and the aggregation of dynamic models (1980)Understanding spurious regressions in econometrics (1986)
this work references cited by second hop

References

  • 1988Testing for a Unit Root in Time Series Regression19,288 cited
  • 2012Business Intelligence and Analytics: From Big Data to Big Impact6,241 cited
  • 1995Likelihood-Based Inference in Cointegrated Vector Autoregressive Models5,336 cited
  • 1978Time Series Analysis: Forecasting and Control.5,299 cited
  • 1997Information Distortion in a Supply Chain: The Bullwhip Effect4,718 cited
  • 2014Beyond the hype: Big data concepts, methods, and analytics4,222 cited
  • 1971Time Series Analysis, Forecasting and Control.2,771 cited
  • 1993Forecasting methods and applications2,393 cited
  • 2012Predicting the Present with Google Trends2,353 cited
  • 2016Big data analytics in logistics and supply chain management: Certain investigations for research and applications1,544 cited
  • 2013Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management1,518 cited
  • 2004Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management1,226 cited
  • 2001Vector Autoregressions1,168 cited
  • 2014Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications863 cited

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2015
Analytics for an Online Retailer: Demand Forecasting and Price Optimization
542 cited
  • 2009Google Econometrics and Unemployment Forecasting439 cited
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    • 2023Big data optimisation and management in supply chain management: a systematic literature review35 cited
    • 2017Data Analytics in CRM Processes: A Literature Review27 cited
    • 2020Mitigating Demand Risk of Durable Goods in Online Retailing20 cited
    • 2022Two Decades of Research on Consumer Behaviour and Analytics18 cited
    • 2021Inventory management for retail companies: A literature review and current trends17 cited
    • 2025Adoption of AI by micro and small health enterprises: effects of entrepreneurial orientation on the TOE model14 cited
    • 2023Analyzing and forecasting service demands using human mobility data: A two-stage predictive framework with decomposition and multivariate analysis11 cited