The impact of business analytics on supply chain performance

The paper investigates the relationship between analytical capabilities in the plan, source, make and deliver area of the supply chain and its performance using information system support and business process orientation as moderators. Structural equation modeling employs a sample of 310 companies from different industries from the USA, Europe, Canada, Brazil and China. The findings suggest the existence of a statistically significant relationship between analytical capabilities and performance. The moderation effect of information systems support is considerably stronger than the effect of business process orientation. The results provide a better understanding of the areas where the impact of business analytics may be the strongest.

[1]  Simon Cadez,et al.  An exploratory investigation of an integrated contingency model of strategic management accounting , 2008 .

[2]  D. Ketchen,et al.  Information Processing, Knowledge Development, and Strategic Supply Chain Performance , 2004 .

[3]  R. Kelly Rainer,et al.  Business intelligence: an analysis of the literature , 2008, IEEE Engineering Management Review.

[4]  Cindi Howson,et al.  Successful Business Intelligence: Secrets to Making BI a Killer App , 2007 .

[5]  Peter Trkman,et al.  International Journal of Information Management , 2022 .

[6]  Jurij Jaklic,et al.  The Impact of Business Intelligence System Maturity on Information Quality , 2009, Inf. Res..

[7]  Robert J. Kauffman,et al.  Option-Based Risk Management: A Field Study of Sequential Information Technology Investment Decisions , 2007, J. Manag. Inf. Syst..

[8]  Jeremy F. Shapiro,et al.  Challenges of strategic supply chain planning and modeling , 2004, Comput. Chem. Eng..

[9]  Jayanthi Ranjan,et al.  Real time business intelligence in supply chain analytics , 2008, Inf. Manag. Comput. Secur..

[10]  Sunil K. Sheoran,et al.  A review and analysis of supply chain operations reference (SCOR) model , 2004 .

[11]  Jan Emblemsvåg,et al.  Business analytics: getting behind the numbers , 2005 .

[12]  M. Stemberger,et al.  Process approach to supply chain integration , 2007 .

[13]  Vernon J. Richardson,et al.  The financial performance effects of IT-based supply chain management systems in manufacturing firms , 2007 .

[14]  Dale Goodhue,et al.  Understanding user evaluations of information systems , 1995 .

[15]  William T. Walker,et al.  Supply Chain Networks and Business Process Orientation: Advanced Strategies and Best Practices , 2002 .

[16]  Bongsug Chae,et al.  Information technology and supply chain collaboration: moderating effects of existing relationships between partners , 2005, IEEE Trans. Engineering Management.

[17]  M. Barratt.  Understanding the meaning of collaboration in the supply chain , 2004 .

[18]  T. Davenport,et al.  Make better decisions. , 2009, Harvard business review.

[19]  John C. Henderson,et al.  Strategic alignment: a model for organizational transformation via information technology , 2011 .

[20]  Jayanthi Ranjan.  Business justification with business intelligence , 2008 .

[21]  Fernando Bins Luce,et al.  Information technology impact on market orientation in e-business , 2009 .

[22]  Gautam Mitra,et al.  The evolution of web-based optimisation: From ASP to e-Services , 2007, Decis. Support Syst..

[23]  D. Lambert,et al.  Issues in Supply Chain Management , 2000 .

[24]  H. Martens.  Partial least squares regression (PLSR) , 1993 .

[25]  B. Ritchie,et al.  Supply chain risk management and performance: A guiding framework for future development , 2007 .

[26]  Josef Schiefer,et al.  Management and Controlling of Time-Sensitive Business Processes with Sense & Respond , 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

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

[28]  Hartmut Stadtler,et al.  Supply chain management and advanced planning--basics, overview and challenges , 2005, Eur. J. Oper. Res..

[29]  D. B. Hibbert,et al.  Partial Least Squares Regression (PLS) , 2008 .

[30]  Kevin McCormack,et al.  Supply Chain Risk in Turbulent Environments – A Conceptual Model for Managing Supply Chain Network Risk , 2009 .

[31]  Steve Williams,et al.  The Profit Impact of Business Intelligence , 2006 .

[32]  Kevin McCormack,et al.  Business Process Orientation: Gaining the E-Business Competitive Advantage , 2001 .

[33]  Andrej Kovacic,et al.  The Role of Business Renovation and Information in E-Government , 2008, J. Comput. Inf. Syst..

[34]  I. Bardhan,et al.  A Model to Measure the Business Value of Information Technology: The Case of Project and Information Work , 2005 .

[35]  W. C. Benton,et al.  Supply chain practice and information sharing , 2007 .

[36]  Mary J. Meixell,et al.  Global supply chain design: A literature review and critique , 2005 .

[37]  Mojca Indihar Stemberger,et al.  A global investigation of key turning points in business process maturity , 2009, Bus. Process. Manag. J..

[38]  Andrew Greasley,et al.  Using process mapping and business process simulation to support a process-based approach to change in a public sector organisation , 2006 .

[39]  Michael J. Davern,et al.  Measuring the effects of business intelligence systems: The relationship between business process and organizational performance , 2008, Int. J. Account. Inf. Syst..

[40]  Rick Hoole,et al.  Five ways to simplify your supply chain , 2005 .

[41]  B. Azvine,et al.  Towards real-time business intelligence , 2005 .

[42]  I. Helland.  Partial Least Squares Regression , 2006 .

[43]  Robert J. Kauffman,et al.  Service-oriented technology and management: Perspectives on research and practice for the coming decade , 2008, Electron. Commer. Res. Appl..

[44]  Ron Kohavi,et al.  Emerging trends in business analytics , 2002, CACM.

[45]  Pedro M. Reyes.  Logistics networks: A game theory application for solving the transshipment problem , 2005, Appl. Math. Comput..

[46]  Barbara Wixom,et al.  Continental Airlines Continues to Soar with Business Intelligence , 2008, Inf. Syst. Manag..

[47]  Steven Kerr,et al.  Moderator Variables in Leadership Research , 1986 .

[48]  Bill Curtis,et al.  The Case for Quantitative Process Management , 2008, IEEE Software.

[49]  Barbara Wixom,et al.  Real-Time Business Intelligence: Best Practices at Continental Airlines , 2005, Inf. Syst. Manag..

[50]  Jian Cai,et al.  Improving supply chain performance management: A systematic approach to analyzing iterative KPI accomplishment , 2009, Decis. Support Syst..

[51]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[52]  Robert Jacobson,et al.  The recency of technological inputs and financial performance , 2008 .

[53]  Prakash J. Singh,et al.  Supply chain management: a structured literature review and implications for future research , 2006 .

[54]  K. Pramatari.  Collaborative supply chain practices and evolving technological approaches , 2007 .

[55]  Robert Rosenbaum,et al.  Supply chain excellence : a handbook for dramatic improvement using the SCOR model , 2007 .

[56]  Gordon Stewart,et al.  Supply‐chain operations reference model (SCOR): the first cross‐industry framework for integrated supply‐chain management , 1997 .

[57]  Kevin McCormack,et al.  Linking SCOR planning practices to supply chain performance: An exploratory study , 2004 .

[58]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[59]  Giuseppe Labianca,et al.  Information Processing Design Choices, Strategy, and Risk Management Performance , 2006, J. Manag. Inf. Syst..

[60]  S.M. Harris,et al.  Information Processing , 1977, Nature.

[61]  Qing Li,et al.  Challenges and opportunities in collaborative business process management: Overview of recent advances and introduction to the special issue , 2009, Inf. Syst. Frontiers.

[62]  T. Davenport.  Competing on analytics. , 2006, Harvard business review.

[63]  John Ozment,et al.  Logistics capability, logistics outsourcing and firm performance in an e‐commerce market , 2008 .

[64]  Herman Aguinis,et al.  Testing Moderator Variable Hypotheses Meta-Analytically: , 1998 .

[65]  Waleed A. Muhanna,et al.  IT capabilities and firm performance: A contingency analysis of the role of industry and IT capability type , 2009, Inf. Manag..

[66]  Patricia J. Daugherty,et al.  Firm-wide integration and firm performance , 2007 .

[67]  Ranjit Bose,et al.  Advanced analytics: opportunities and challenges , 2009, Ind. Manag. Data Syst..

[68]  Markus Grünwald,et al.  Business Intelligence , 2009, Informatik-Spektrum.

[69]  N. Carr.  IT doesn't matter , 2003, IEEE Engineering Management Review.

[70]  Henry C. W. Lau,et al.  Design and development of agent-based procurement system to enhance business intelligence , 2009, Expert Syst. Appl..

[71]  Darius Hedgebeth.  Data‐driven decision making for the enterprise: an overview of business intelligence applications , 2007 .

[72]  Wil M. P. van der Aalst,et al.  Towards comprehensive support for organizational mining , 2008, Decis. Support Syst..

[73]  Steve Muylle,et al.  Online support for business processes by electronic intermediaries , 2008, Decis. Support Syst..

[74]  Christian M. Ringle,et al.  Finite Mixture Partial Least Squares Analysis: Methodology and Numerical Examples , 2010 .

[75]  Boudewijn F. van Dongen,et al.  Business process mining: An industrial application , 2007, Inf. Syst..

[76]  Brian DosSantos,et al.  Justifying Investments in New Information Technologies , 1991, J. Manag. Inf. Syst..

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

[78]  Kevin McCormack,et al.  The development of a supply chain management process maturity model using the concepts of business process orientation , 2004 .

[79]  Michel Tenenhaus,et al.  PLS path modeling , 2005, Comput. Stat. Data Anal..

[80]  J. Auramo,et al.  Benefits of IT in supply chain management: an explorative study of progressive companies , 2005 .

[81]  Elizabeth Winter,et al.  Out of stock , 1994 .

[82]  Sergio Cavalieri,et al.  Simulation in the supply chain context: a survey , 2004, Comput. Ind..

[83]  Efraim Turban,et al.  Business Intelligence: Second European Summer School, eBISS 2012, Brussels, Belgium, July 15-21, 2012, Tutorial Lectures , 2013 .

[84]  J. Holmström,et al.  Supply chain collaboration: making sense of the strategy continuum , 2005 .

[85]  Thomas Gulledge,et al.  Automating the construction of supply chain key performance indicators , 2008, Ind. Manag. Data Syst..

[86]  Hajo A. Reijers,et al.  Best practices in business process redesign: use and impact , 2007, Bus. Process. Manag. J..

[87]  Robert J. Kauffman,et al.  OPTION-BASED RISK MANAGEMENT: A FIELD STUDY OF SEQUENTIAL IT INVESTMENT DECISIONS , 2007 .

[88]  Marilyn Bohl,et al.  Information processing , 1971 .

[89]  Ajay S. Vinze,et al.  A business process context for Knowledge Management , 2007, Decis. Support Syst..

[90]  児玉 文雄.  Harvard Business Review : 抄録雑誌の概要 , 1987 .

[91]  Pandu R. Tadikamalla,et al.  A decision support system for managing inventory at GlaxoSmithKline , 2008, Decis. Support Syst..