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Understanding the value of big data in supply chain management and its business processes
16 references·16 citing·47 second hopsampled
Understanding the value of big data in supply chain management and its business processes (2018)Understanding the value of big data in su…Big data analytics in logistics and supply chain management: Certain investigations for research and applications (2016)Big data analytics in logisti…Big data analytics and firm performance: Effects of dynamic capabilities (2016)Big data analytics and firm p…How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study (2015)How ‘big data’ can make big i…Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Data-intensive applications, …Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management (2013)Data Science, Predictive Anal…Big Data : The Management Revolution (2013)Big Data : The Management Rev…Seeking Qualitative Rigor in Inductive Research (2012)Seeking Qualitative Rigor in …Business Intelligence and Analytics: From Big Data to Big Impact (2012)Business Intelligence and Ana…Value Creation and Value Capture: A Multilevel Perspective (2007)Value Creation and Value Capt…Three Approaches to Qualitative Content Analysis (2005)Three Approaches to Qualitati…Exploitation, Exploration, and Process Management: The Productivity Dilemma Revisited (2003)Exploitation, Exploration, an…Analyzing the Past to Prepare for the Future: Writing a Literature Review (2002)Analyzing the Past to Prepare…DEFINING SUPPLY CHAIN MANAGEMENT (2001)DEFINING SUPPLY CHAIN MANAGEM…Supply Chain Management: Implementation Issues and Research Opportunities (1998)Supply Chain Management: Impl…Reengineering Work: Don’t Automate, Obliterate (1990)Reengineering Work: Don’t Aut…Integrating the Supply Chain (1989)Integrating the Supply ChainArtificial intelligence and machine learning in purchasing and supply management: A mixed-methods review of the state-of-the-art in literature and practice (2024)Artificial intelligence and m…The role of artificial intelligence in the procurement process: State of the art and research agenda (2023)The role of artificial intell…How can organizations leverage big data to innovate their business models? A systematic literature review (2023)How can organizations leverag…Examining the role of big data and marketing analytics in SMEs innovation and competitive advantage: A knowledge integration perspective (2023)Examining the role of big dat…Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research (2023)Data science and big data ana…Unlocking supply chain agility and supply chain performance through the development of intangible supply chain analytical capabilities (2022)Unlocking supply chain agilit…Digitalization of Supply Chain Management with Industry 4.0 Enabling Technologies: A Sustainable Perspective (2022)Digitalization of Supply Chai…Developing supply chain open innovation capability: The mediating role of the knowledge creation process, governance mechanism and technology as a driver (2022)Developing supply chain open …Big data driven innovation for sustaining SME supply chain operation in post COVID-19 scenario: Moderating role of SME technology leadership (2022)Big data driven innovation fo…Big data and big disaster: a mechanism of supply chain risk management in global logistics industry (2022)Big data and big disaster: a …Managing information asymmetry in public–private relationships undergoing a digital transformation: the role of contractual and relational governance (2021)Managing information asymmetr…Advanced technologies and international business: A multidisciplinary analysis of the literature (2021)Advanced technologies and int…The big data-business strategy interconnection: a grand challenge for knowledge management. A review and future perspectives (2020)The big data-business strateg…Effect of information technology-enabled supply chain integration on firm's operational performance (2020)Effect of information technol…Digitization of manufacturing: the role of external search (2020)Digitization of manufacturing…Building supply chain risk resilience (2019)Building supply chain risk re…The Discovery of Grounded Theory: Strategies for Qualitative Research. (1968)Naturalistic inquiry (1985)Basics of qualitative research : techniques and procedures for developing grounded theory (1998)Process Studies of Change in Organization and Management: Unveiling Temporality, Activity, and Flow (2013)Digital transformation by SME entrepreneurs: A capability perspective (2017)Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal (2018)Competitive Strategy: Techniques for Analyzing Industries and Competitors (1980)A Model of Distributor Firm and Manufacturer Firm Working Partnerships (1990)The Commitment-Trust Theory of Relationship Marketing (1994)A framework of sustainable supply chain management: moving toward new theory (2008)Understanding the concept of supply chain resilience (2009)Supply chain collaboration: Impact on collaborative advantage and firm performance (2010)Big data: The next frontier for innovation, competition, and productivity (2011)Critical analysis of Big Data challenges and analytical methods (2016)A survey on deep learning for big data (2017)Machine Learning With Big Data: Challenges and Approaches (2017)Information Systems Success: The Quest for the Dependent Variable (1992)Strategies for Theorizing from Process Data (1999)Review : Knowledge Management and Knowledge Management Systems: Conceptual Foundations And Research Issues1,2 (2001)Does Gamification Work? -- A Literature Review of Empirical Studies on Gamification (2014)Literature review as a research methodology: An overview and guidelines (2019)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)Institutionalized Organizations: Formal Structure as Myth and Ceremony (1977)Absorptive Capacity: A New Perspective on Learning and Innovation (1990)Dynamic capabilities and strategic management (1997)Exploratory Innovation, Exploitative Innovation, and Performance: Effects of Organizational Antecedents and Environmental Moderators (2006)The Interplay Between Exploration and Exploitation (2006)Organizational Ambidexterity: Antecedents, Outcomes, and Moderators (2008)Qualitative research and evaluation methods (1980)Qualitative Data Analysis: An Expanded Sourcebook (1994)The qualitative content analysis process (2008)Scoping studies: advancing the methodology (2010)Using the framework method for the analysis of qualitative data in multi-disciplinary health research (2013)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Structural equation modeling in practice: A review and recommended two-step approach. (1988)PLS-SEM: Indeed a Silver Bullet (2011)Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA (2016)Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities (2019)Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects (2020)Information Technology As A Factor Of Production: The Role Of Differences Among Firms (1995)Information Technology and Productivity: A Review of the Literature (1996)Information Technology, Workplace Organization and the Demand for Skilled Labor: Firm-Level Evidence (1999)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)Privacy and human behavior in the age of information (2015)Digital Finance and FinTech: current research and future research directions (2017)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2005Three Approaches to Qualitative Content Analysis44,511 cited
  • 2012Seeking Qualitative Rigor in Inductive Research13,176 cited
  • 2002Analyzing the Past to Prepare for the Future: Writing a Literature Review7,440 cited
  • 2012Business Intelligence and Analytics: From Big Data to Big Impact6,241 cited
  • 2001DEFINING SUPPLY CHAIN MANAGEMENT5,167 cited
  • 2003Exploitation, Exploration, and Process Management: The Productivity Dilemma Revisited4,379 cited
  • 2013Big Data : The Management Revolution3,540 cited
  • 2014Data-intensive applications, challenges, techniques and technologies: A survey on Big Data3,046 cited
  • 1990Reengineering Work: Don’t Automate, Obliterate2,922 cited
  • 2016Big data analytics and firm performance: Effects of dynamic capabilities2,466 cited
  • 1998Supply Chain Management: Implementation Issues and Research Opportunities2,437 cited
  • 2015How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study1,796 cited
  • 1989Integrating the Supply Chain1,560 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 Management

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1,518 cited
  • 2007Value Creation and Value Capture: A Multilevel Perspective1,488 cited
  • Cited by

    • 2021Managing information asymmetry in public–private relationships undergoing a digital transformation: the role of contractual and relational governance208 cited
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    • 2022Digitalization of Supply Chain Management with Industry 4.0 Enabling Technologies: A Sustainable Perspective178 cited
    • 2022Big data driven innovation for sustaining SME supply chain operation in post COVID-19 scenario: Moderating role of SME technology leadership146 cited
    • 2021Advanced technologies and international business: A multidisciplinary analysis of the literature144 cited
    • 2023The role of artificial intelligence in the procurement process: State of the art and research agenda143 cited
    • 2023Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research141 cited
    • 2020Effect of information technology-enabled supply chain integration on firm's operational performance133 cited
    • 2023How can organizations leverage big data to innovate their business models? A systematic literature review133 cited
    • 2022Big data and big disaster: a mechanism of supply chain risk management in global logistics industry104 cited
    • 2020Digitization of manufacturing: the role of external search98 cited
    • 2024Artificial intelligence and machine learning in purchasing and supply management: A mixed-methods review of the state-of-the-art in literature and practice87 cited
    • 2023Examining the role of big data and marketing analytics in SMEs innovation and competitive advantage: A knowledge integration perspective85 cited
    • 2020The big data-business strategy interconnection: a grand challenge for knowledge management. A review and future perspectives84 cited
    • 2022Unlocking supply chain agility and supply chain performance through the development of intangible supply chain analytical capabilities83 cited
    • 2022Developing supply chain open innovation capability: The mediating role of the knowledge creation process, governance mechanism and technology as a driver76 cited