Leveraging internet of things and big data analytics initiatives in European and American firms: Is data quality a way to extract business value?

Abstract Big data analytics (BDA) and the Internet of Things (IoT) tools are considered crucial investments for firms to distinguish themselves among competitors. Drawing on a strategic management perspective, this study proposes that BDA and IoT capabilities can create significant value in business processes if supported by a good level of data quality, which will lead to a better competitive advantage. Responses are collected from 618 European and American firms that use IoT and BDA applications. Partial least squares results reveal that better data quality is needed to unlock the value of IoT and BDA capabilities.

[1]  Véronique Ambrosini,et al.  What are Dynamic Capabilities and are They a Useful Construct in Strategic Management? , 2009 .

[2]  Michail N. Giannakos,et al.  Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies , 2018, Inf. Syst. E Bus. Manag..

[3]  D. Teece,et al.  DYNAMIC CAPABILITIES AND STRATEGIC MANAGEMENT , 1997 .

[4]  Oliver Schilke On the Contingent Value of Dynamic Capabilities for Competitive Advantage: The Nonlinear Moderating Effect of Environmental Dynamism , 2014 .

[5]  D. Straub,et al.  Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly , 2012 .

[6]  Lida Xu,et al.  The internet of things: a survey , 2014, Information Systems Frontiers.

[7]  Wolfgang Wahlster,et al.  New Horizons for a Data-Driven Economy , 2016, Springer International Publishing.

[8]  Shahriar Akter,et al.  Quality dominant logic in big data analytics and firm performance , 2018, Bus. Process. Manag. J..

[9]  Gary P. Pisano,et al.  Learning How and Learning What: Effects of Tacit and Codified Knowledge on Performance Improvement Following Technology Adoption , 2003, Decis. Sci..

[10]  Rudolf R. Sinkovics,et al.  The Use of Partial Least Squares Path Modeling in International Marketing , 2009 .

[11]  Graeme G. Shanks,et al.  Creating Value From Business Analytics Systems: The Impact Of Strategy , 2011, PACIS.

[12]  Bongsik Shin,et al.  Data quality management, data usage experience and acquisition intention of big data analytics , 2014, Int. J. Inf. Manag..

[13]  M. Sarstedt,et al.  A new criterion for assessing discriminant validity in variance-based structural equation modeling , 2015 .

[14]  Jae Kyeong Kim,et al.  Data quality and firm performance: empirical evidence from the Korean financial industry , 2013, Inf. Technol. Manag..

[15]  Shahriar Akter,et al.  Big Data Analytics for Supply Chain Management: A Literature Review and Research Agenda , 2015, EOMAS@CAiSE.

[16]  María Magdalena Jiménez-Barrionuevo,et al.  Transformational Leadership Influence on Organizational Performance Through Organizational Learning and Innovation , 2012 .

[17]  Pedro Miguel Fernandes Ruivo,et al.  Using resource-based view theory to assess the value of ERP commercial-packages in SMEs , 2015, Comput. Ind..

[18]  Andrew Schwarz,et al.  Examining the Impact of Multicollinearity in Discovering Higher-Order Factor Models , 2014, Commun. Assoc. Inf. Syst..

[19]  Gary L. Frankwick,et al.  Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective , 2016 .

[20]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[21]  Yangyong Zhu,et al.  The Challenges of Data Quality and Data Quality Assessment in the Big Data Era , 2015, Data Sci. J..

[22]  Arkady B. Zaslavsky,et al.  Sensing as a service model for smart cities supported by Internet of Things , 2013, Trans. Emerg. Telecommun. Technol..

[23]  I. Nonaka,et al.  How Japanese Companies Create the Dynamics of Innovation , 1995 .

[24]  R. Grant,et al.  Environments: Organizational Capability as Knowledge Integration , 2022 .

[25]  Yunhao Liu,et al.  Big Data: A Survey , 2014, Mob. Networks Appl..

[26]  Diane M. Strong,et al.  Data quality in context , 1997, CACM.

[27]  Anurag Agarwal,et al.  The Internet of Things—A survey of topics and trends , 2014, Information Systems Frontiers.

[28]  Hasso Plattner,et al.  The In-Memory Revolution: How SAP HANA Enables Business of the Future , 2015 .

[29]  Kenneth L. Kraemer,et al.  Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value , 2004, MIS Q..

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

[31]  Anandhi S. Bharadwaj,et al.  A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation , 2000, MIS Q..

[32]  Constance E. Helfat,et al.  The dynamic resource-based view: capability lifecycles , 2003 .

[33]  Catherine L. Wang,et al.  Dynamic Capabilities: A Review and Research Agenda , 2007 .

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

[35]  Dusya Vera,et al.  Dynamic capabilities and operational capabilities: A knowledge management perspective , 2007 .

[36]  Maurizio Zollo,et al.  Deliberate Learning and the Evolution of Dynamic Capabilities , 2002 .

[37]  José Manuel Cristóvão Veríssimo,et al.  Does Integrity Matter for CSR Practice in Organizations? The Mediating Role of Transformational Leadership , 2015 .

[38]  Paul P. Tallon Inside the adaptive enterprise: an information technology capabilities perspective on business process agility , 2008, Inf. Technol. Manag..

[39]  Michail N. Giannakos,et al.  Big data analytics capabilities: a systematic literature review and research agenda , 2017, Information Systems and e-Business Management.

[40]  O. A. Sawy,et al.  Digital business strategy: toward a next generation of insights , 2013 .

[41]  Paul A. Pavlou,et al.  From IT Leveraging Competence to Competitive Advantage in Turbulent Environments: The Case of New Product Development , 2006, Inf. Syst. Res..

[42]  Richard Vidgen,et al.  Management challenges in creating value from business analytics , 2017, Eur. J. Oper. Res..

[43]  Wu He,et al.  Internet of Things in Industries: A Survey , 2014, IEEE Transactions on Industrial Informatics.

[44]  Marko Sarstedt,et al.  Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .

[45]  Veda C. Storey,et al.  Business Intelligence and Analytics: From Big Data to Big Impact , 2012, MIS Q..

[46]  Pedro Ruivo,et al.  Understanding the hidden value of business intelligence and analytics (BI&A) Research-in-Progress , 2014 .

[47]  Toni M. Somers,et al.  The Role of Information Systems Resources in ERP Capability Building and Business Process Outcomes , 2007, J. Manag. Inf. Syst..

[48]  Samuel Fosso Wamba,et al.  Research Directions on the Adoption, Usage, and Impact of the Internet of Things through the Use of Big Data Analytics , 2015, 2015 48th Hawaii International Conference on System Sciences.

[49]  Viswanath Venkatesh,et al.  Leveraging Digital Technologies: How Information Quality Leads to Localized Capabilities and Customer Service Performance , 2013, MIS Q..

[50]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[51]  Michael H. Zack,et al.  Managing Codified Knowledge , 1999 .

[52]  Narasimhaiah Gorla,et al.  Organizational impact of system quality, information quality, and service quality , 2010, J. Strateg. Inf. Syst..

[53]  In Lee,et al.  The Internet of Things (IoT): Applications, investments, and challenges for enterprises , 2015 .

[54]  Adrian B. Ryans Estimating Consumer Preferences for a New Durable Brand in an Established Product Class , 1974 .

[55]  Lei-Yu Wu,et al.  Resources, dynamic capabilities and performance in a dynamic environment: Perceptions in Taiwanese IT enterprises , 2006, Inf. Manag..

[56]  Roger H. L. Chiang,et al.  Big Data Research in Information Systems: Toward an Inclusive Research Agenda , 2016, J. Assoc. Inf. Syst..

[57]  Peter J. Sher,et al.  Information Technology as a Facilitator of Enhancing Dynamic Capability through Knowledge Management , 2020 .

[58]  Andrew Pettigrew,et al.  The Handbook of Strategy and Management , 2001 .

[59]  T. Oliveira,et al.  Assessing business value of Big Data Analytics in European firms , 2017 .

[60]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[61]  Kathleen M. Eisenhardt,et al.  DYNAMIC CAPABILITIES, WHAT ARE THEY? , 2000 .

[62]  Dimitris Mourtzis,et al.  Industrial Big Data as a Result of IoT Adoption in Manufacturing , 2016 .

[63]  Sunil Erevelles,et al.  Big Data consumer analytics and the transformation of marketing , 2016 .

[64]  Paolo Neirotti,et al.  On the contingent value of IT-based capabilities for the competitive advantage of SMEs: Mechanisms and empirical evidence , 2017, Inf. Manag..

[65]  Patrick Mikalef,et al.  Big Data Analytics Capability: Antecedents and Business Value , 2017, PACIS.

[66]  B. Menguc,et al.  Creating a firm-level dynamic capability through capitalizing on market orientation and innovativeness , 2006 .

[67]  Y. Caloghirou,et al.  Dynamic capabilities and their indirect impact on firm performance , 2012 .

[68]  P. Drnevich,et al.  Clarifying the conditions and limits of the contributions of ordinary and dynamic capabilities to relative firm performance , 2011 .

[69]  Christina Soh,et al.  How IT Creates Business Value: A Process Theory Synthesis , 1995, ICIS.

[70]  Paul Louis Drnevich,et al.  Information Technology and Business-Level Strategy: Toward an Integrated Theoretical Perspective , 2013, MIS Q..

[71]  Mikael Stenkula The European Size Distribution of Firms and Employment , 2006 .

[72]  Paul P. Tallon,et al.  Competing Perspectives on the Link Between Strategic Information Technology Alignment and Organizational Agility: Insights from a Mediation Model , 2011, MIS Q..

[73]  Constance E. Helfat,et al.  Dynamic capabilities : understanding strategic change in organizations , 2007 .

[74]  Morgan Swink,et al.  How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management , 2015, J. Manag. Inf. Syst..

[75]  Nilesh Saraf,et al.  IS Application Capabilities and Relational Value in Interfirm Partnerships , 2007, Inf. Syst. Res..

[76]  M. Porter,et al.  How Information Gives You Competitive Advantage , 1985 .

[77]  Shahriar Akter,et al.  How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study , 2015 .

[78]  Varun Grover,et al.  Building and leveraging information in dynamic environments: The role of IT infrastructure flexibility as enabler of organizational responsiveness and competitive advantage , 2010, Inf. Manag..

[79]  S. West,et al.  Multiple Regression: Testing and Interpreting Interactions. , 1994 .

[80]  R. Bagozzi Evaluating Structural Equation Models with Unobservable Variables and Measurement Error: A Comment , 1981 .

[81]  Barbara H Wixom,et al.  A Theoretical Integration of User Satisfaction and Technology Acceptance , 2005, Inf. Syst. Res..

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

[83]  Hajar Mousannif,et al.  Data quality in internet of things: A state-of-the-art survey , 2016, J. Netw. Comput. Appl..

[84]  Athanasios V. Vasilakos,et al.  Data Mining for the Internet of Things: Literature Review and Challenges , 2015, Int. J. Distributed Sens. Networks.

[85]  Mumbai,et al.  Internet of Things (IoT): A Literature Review , 2015 .

[86]  Zahir Irani,et al.  Investment evaluation within project management: an information systems perspective , 2010, J. Oper. Res. Soc..

[87]  Aleš Popovič,et al.  Towards business intelligence systems success: Effects of maturity and culture on analytical decision making , 2012, Decis. Support Syst..

[88]  Margaret A. Peteraf,et al.  Published online in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/mde.1126 Unraveling The Resource-Based Tangle , 2022 .

[89]  John P. Slone INFORMATION QUALITY STRATEGY: AN EMPIRICAL INVESTIGATION OF THE RELATIONSHIP BETWEEN INFORMATION QUALITY IMPROVEMENTS AND ORGANIZATIONAL OUTCOMES , 2006 .

[90]  Thiagarajan Ravichandran,et al.  Effect of Information Systems Resources and Capabilities on Firm Performance: A Resource-Based Perspective , 2005, J. Manag. Inf. Syst..

[91]  Peter B. Seddon,et al.  A Multi-Project Model of Key Factors Affecting Organizational Benefits from Enterprise Systems , 2010, MIS Q..

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

[93]  Charles H. Kriebel,et al.  Information Technologies and Business Value: An Analytic and Empirical Investigation , 1995, Inf. Syst. Res..

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

[95]  A. Gunasekaran,et al.  Big data analytics capability in supply chain agility , 2019, Management Decision.

[96]  Rajeev Sharma,et al.  Transforming Decision-Making Processes Transforming decision-making processes : a research agenda for understanding the impact of business analytics on organizations , 2017 .