Big data analytics capabilities and MSME innovation and performance: A double mediation model of digital platform and network capabilities

[1]  S. Akter,et al.  How data-driven innovation capability is shaping the future of market agility and competitive performance? , 2022, Technological Forecasting and Social Change.

[2]  Usama Awan,et al.  The Role of Big Data Analytics in Manufacturing Agility and Performance: Moderation–Mediation Analysis of Organizational Creativity and of the Involvement of Customers as Data Analysts , 2021, British Journal of Management.

[3]  Marcello M. Mariani,et al.  How to Build an AI Climate-Driven Service Analytics Capability for Innovation and Performance in Industrial Markets? , 2021, Industrial Marketing Management.

[4]  Stefano Bresciani,et al.  Using big data for co-innovation processes: Mapping the field of data-driven innovation, proposing theoretical developments and providing a research agenda , 2021, Int. J. Inf. Manag..

[5]  Sachin S. Kamble,et al.  Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries , 2020, Technological Forecasting and Social Change.

[6]  Shahriar Akter,et al.  Algorithmic bias in data-driven innovation in the age of AI , 2021, Int. J. Inf. Manag..

[7]  Jerome Couturier,et al.  The impact of supply chain innovation on competitive advantage in the construction industry: Evidence from a moderated multi-mediation model , 2021 .

[8]  A. Ferraris,et al.  Big data analytics (BDA) and degree of internationalization: the interplay between governance of BDA infrastructure and BDA capabilities , 2020, Journal of Management and Governance.

[9]  Shahriar Akter,et al.  The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism , 2020 .

[10]  Sachin S. Kamble,et al.  A study on investments in the big data-driven supply chain, performance measures and organisational performance in Indian retail 4.0 context , 2019, Int. J. Prod. Res..

[11]  Pankaj C. Patel,et al.  Supply chain ambidexterity and manufacturing SME performance: The moderating roles of network capability and strategic information flow , 2020 .

[12]  Ruey-Jer “Bryan” Jean,et al.  Internet and SMEs' internationalization: The role of platform and website , 2020 .

[13]  Q. Hu,et al.  Knowledge sharing in supply chain networks: Effects of collaborative innovation activities and capability on innovation performance , 2017, Technovation.

[14]  Maryam Ghasemaghaei,et al.  Assessing the impact of big data on firm innovation performance: Big data is not always better data , 2020, Journal of Business Research.

[15]  Jerome Couturier,et al.  Are global R&D partnerships enough to increase a company's innovation performance? The role of search and integrative capacities , 2019 .

[16]  Shahriar Akter,et al.  Analytics-based decision-making for service systems: A qualitative study and agenda for future research , 2019, Int. J. Inf. Manag..

[17]  Max Hoffmann,et al.  Smart Agents for the Industry 4.0: Enabling Machine Learning in Industrial Production , 2019 .

[18]  I. Bose,et al.  Strategic learning for digital market pioneering: Examining the transformation of Wishberry's crowdfunding model , 2019, Technological Forecasting and Social Change.

[19]  Javier Cenamor,et al.  How entrepreneurial SMEs compete through digital platforms: The roles of digital platform capability, network capability and ambidexterity , 2019, Journal of Business Research.

[20]  Patrick Mikalef,et al.  Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment , 2019, British Journal of Management.

[21]  Alexander S. Acosta,et al.  Effect of market orientation, network capability and entrepreneurial orientation on international performance of small and medium enterprises (SMEs) , 2018 .

[22]  Naveen Kumar,et al.  Exit, Voice, and Response on Digital Platforms: An Empirical Investigation of Online Management Response Strategies , 2018, Inf. Syst. Res..

[23]  Benjamin T. Hazen,et al.  Back in business: operations research in support of big data analytics for operations and supply chain management , 2016, Annals of Operations Research.

[24]  Kim Hua Tan,et al.  Unlocking the power of big data in new product development , 2016, Annals of Operations Research.

[25]  Angappa Gunasekaran,et al.  Big Data and supply chain management: a review and bibliometric analysis , 2018, Ann. Oper. Res..

[26]  D. Teece.  Profiting from innovation in the digital economy: Enabling technologies, standards, and licensing models in the wireless world , 2018, Research Policy.

[27]  Constance E. Helfat,et al.  Dynamic and integrative capabilities for profiting from innovation in digital platform-based ecosystems , 2018, Research Policy.

[28]  Tsan-Ming Choi,et al.  Big Data Analytics in Operations Management , 2018 .

[29]  R. D. Gonzalez,et al.  The effects of organization context on knowledge exploration and exploitation , 2018, Journal of Business Research.

[30]  Ola Henfridsson,et al.  Introduction - Platforms and Infrastructures in the Digital Age , 2018, Inf. Syst. Res..

[31]  Mark de Reuver,et al.  The digital platform: a research agenda , 2018, J. Inf. Technol..

[32]  Jan vom Brocke,et al.  How Big Data Analytics Enables Service Innovation: Materiality, Affordance, and the Individualization of Service , 2018, J. Manag. Inf. Syst..

[33]  Shenggang Ren,et al.  Building networks into discovery: The link between entrepreneur network capability and entrepreneurial opportunity discovery , 2018 .

[34]  Abbas Tarhini,et al.  The role of ICT and innovation in enhancing organizational performance: The catalysing effect of corporate entrepreneurship , 2017, Journal of Business Research.

[35]  Constance E. Helfat,et al.  Quo Vadis, Dynamic Capabilities? A Content-Analytic Review of the Current State of Knowledge and Recommendations for Future Research , 2018 .

[36]  A. Tsakanikas,et al.  What drives ICT adoption by SMEs? Evidence from a large-scale survey in Greece , 2017 .

[37]  Shahriar Akter,et al.  Modelling quality dynamics, business value and firm performance in a big data analytics environment , 2017, Int. J. Prod. Res..

[38]  Scott B. Friend,et al.  Big Data Facilitation, Utilization, and Monetization: Exploring the 3Vs in a New Product Development Process , 2017 .

[39]  Guijun Zhuang,et al.  Information technology-enabled interactions, mutual monitoring, and supplier-buyer cooperation: A network perspective. , 2017 .

[40]  Marleen Huysman,et al.  Debating big data: A literature review on realizing value from big data , 2017, J. Strateg. Inf. Syst..

[41]  Elena Pessot,et al.  Cultivating business model agility through focused capabilities: A multiple case study , 2017 .

[42]  Zhiduan Xu,et al.  From a systematic literature review to integrated definition for sustainable supply chain innovation (SSCI) , 2017 .

[43]  Henri Schildt,et al.  Big data and organizational design – the brave new world of algorithmic management and computer augmented transparency , 2017 .

[44]  Patrick Mikalef,et al.  Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA , 2017 .

[45]  Benjamin T. Hazen,et al.  Big data and predictive analytics for supply chain and organizational performance , 2017 .

[46]  Shahriar Akter,et al.  Big data analytics and firm performance: Effects of dynamic capabilities , 2017 .

[47]  Amir Pezeshkan,et al.  Dynamic Capabilities and Organizational Performance: A Meta‐Analytic Evaluation and Extension , 2016 .

[48]  Shahriar Akter,et al.  How to improve firm performance using big data analytics capability and business strategy alignment , 2016 .

[49]  Amir Pezeshkan,et al.  An empirical assessment of the dynamic capabilities–performance relationship , 2016 .

[50]  A. Gunasekaran,et al.  Big data analytics in logistics and supply chain management: Certain investigations for research and applications , 2016 .

[51]  Pankaj C. Patel,et al.  Network partner diversity, network capability, and sales growth in small firms , 2016 .

[52]  Yi-Hsin Lin,et al.  The effect of network relationship on the performance of SMEs , 2016 .

[53]  Francisco Almada-Lobo,et al.  The Industry 4.0 revolution and the future of Manufacturing Execution Systems (MES) , 2016 .

[54]  V. Parida,et al.  Interactive Effects of Network Capability, ICT Capability, and Financial Slack on Technology‐Based Small Firm Innovation Performance , 2015 .

[55]  S. Pollak,et al.  Association of Child Poverty, Brain Development, and Academic Achievement. , 2015, JAMA pediatrics.

[56]  Asyraf Afthanorhan,et al.  Parametric and Non Parametric Approach in Structural Equation Modeling (SEM): The Application of Bootstrapping , 2015 .

[57]  T. Cheng,et al.  Joint supply chain risk management: An agency and collaboration perspective , 2015 .

[58]  Kai H. Lim,et al.  How Does IT Ambidexterity Impact Organizational Agility? , 2015, Inf. Syst. Res..

[59]  K. Zhou,et al.  How does technological diversity in supplier network drive buyer innovation? Relational process and contingencies , 2015 .

[60]  Indre Maurer,et al.  How Dynamic Capabilities Affect the Effectiveness and Efficiency of Operating Routines Under High and Low Levels of Environmental Dynamism , 2015 .

[61]  Neil F. Doherty,et al.  Operational research from Taylorism to Terabytes: A research agenda for the analytics age , 2015, Eur. J. Oper. Res..

[62]  T. Schoenherr,et al.  Data Science, Predictive Analytics, and Big Data in Supply Chain Management: Current State and Future Potential , 2015 .

[63]  Sheryl L. Walter,et al.  Absence of malice: a meta-analysis of nonresponse bias in counterproductive work behavior research. , 2015, The Journal of applied psychology.

[64]  Gah-Yi Vahn,et al.  BUSINESS ANALYTICS IN THE AGE OF BIG DATA , 2014 .

[65]  Lâm Laurent Lim,et al.  Reconciling sales and operations management with distant suppliers in the automotive industry: A simulation approach , 2014 .

[66]  Yi Wang,et al.  IT capability and organizational performance: the roles of business process agility and environmental factors , 2014, Eur. J. Inf. Syst..

[67]  D. Teece.  The Foundations of Enterprise Performance: Dynamic and Ordinary Capabilities in an (Economic) Theory of Firms , 2014 .

[68]  Josep Lluís Cano Giner,et al.  Technology Ecosystem Governance , 2013, Organ. Sci..

[69]  Rajdeep Grewal,et al.  Information Technology Competencies, Organizational Agility, and Firm Performance: Enabling and Facilitating Roles , 2013, Inf. Syst. Res..

[70]  W. C. Benton,et al.  Guidelines for Improving the Power Values of Statistical Tests for Nonresponse Bias Assessment in OM Research , 2013, Decis. Sci..

[71]  E. Sandberg,et al.  Enabling service innovation: A dynamic capabilities approach , 2013 .

[72]  Jake G. Messersmith,et al.  Entrepreneurial orientation and performance in young firms: The role of human resource management , 2013 .

[73]  Ralf Wilden,et al.  Dynamic capabilities and performance : strategy, structure and environment , 2013 .

[74]  Scott B. MacKenzie,et al.  Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies , 2012 .

[75]  Peng Huang,et al.  Co-Creation of Value in a Platform Ecosystem: The Case of Enterprise Software , 2011, MIS Q..

[76]  Scott B. MacKenzie,et al.  Working memory: theories, models, and controversies. , 2012, Annual review of psychology.

[77]  Sang M. Lee,et al.  Supply chain innovation and organizational performance in the healthcare industry , 2011 .

[78]  Thomas Y. Choi,et al.  The dark side of buyer–supplier relationships: A social capital perspective⋆ , 2011 .

[79]  Daniel R. Krause,et al.  Social capital configuration, legal bonds and performance in buyer–supplier relationships , 2011 .

[80]  Shahriar Akter,et al.  Trustworthiness in mHealth information services: An assessment of a hierarchical model with mediating and moderating effects using partial least squares (PLS) , 2011, J. Assoc. Inf. Sci. Technol..

[81]  Thomas G. Reio,et al.  The Threat of Common Method Variance Bias to Theory Building , 2010 .

[82]  Abbas Keramati,et al.  A process-oriented perspective on customer relationship management and organizational performance: An empirical investigation , 2010 .

[83]  Maria Caridi,et al.  Do virtuality and complexity affect supply chain visibility , 2010 .

[84]  Arun Rai,et al.  Leveraging IT Capabilities and Competitive Process Capabilities for the Management of Interorganizational Relationship Portfolios , 2010, Inf. Syst. Res..

[85]  D. Teece.  Business Models, Business Strategy and Innovation , 2010 .

[86]  Eric T. G. Wang,et al.  The strategic value of supply chain visibility: increasing the ability to reconfigure , 2010, Eur. J. Inf. Syst..

[87]  Lei-Yu Wu,et al.  Applicability of the resource-based and dynamic-capability views under environmental volatility , 2010 .

[88]  Constantine Andriopoulos,et al.  Exploitation-Exploration Tensions and Organizational Ambidexterity: Managing Paradoxes of Innovation , 2009, Organ. Sci..

[89]  C. Phelps.  A Longitudinal Study of the Influence of Alliance Network Structure and Composition on Firm Exploratory Innovation , 2009 .

[90]  Anders Frederiksen,et al.  Competing on analytics: The new science of winning , 2009 .

[91]  Michael J. Braunscheidel,et al.  The organizational antecedents of a firm’s supply chain agility for risk mitigation and response , 2009 .

[92]  Mie Augier,et al.  Dynamic Capabilities and the Role of Managers in Business Strategy and Economic Performance , 2009, Organ. Sci..

[93]  D. Flint,et al.  Exploring processes for customer value insights, supply chain learning and innovation: An international study , 2008 .

[94]  D. Teece.  Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance , 2007 .

[95]  Thomas Ritter,et al.  The impact of network capabilities and entrepreneurial orientation on university spin-off performance , 2006 .

[96]  Robert J. Vandenberg,et al.  Introduction: Statistical and Methodological Myths and Urban Legends , 2006 .

[97]  Bhanu S. Ragu-Nathan,et al.  The impact of supply chain management practices on competitive advantage and organizational performance , 2006 .

[98]  J. Farley,et al.  ORGANIZATIONAL CULTURE, MARKET ORIENTATION, INNOVATIVENESS, AND FIRM PERFORMANCE: AN INTERNATIONAL RESEARCH ODYSSEY , 2004 .

[99]  S. Winter.  Understanding dynamic capabilities , 2003 .

[100]  Christopher S. Tang,et al.  The Value of Information Sharing in a Two-Level Supply Chain , 2000 .

[101]  C. Fornell,et al.  Evaluating Structural Equation Models with Unobservable Variables and Measurement Error , 1981 .