BIG DATA IN PROCUREMENT: THE ROLE OF PEOPLE BEHAVIOUR AND ORGANIZATION ALIGNMENT

Cristiane Biazzin; Luciano Castro Carvalho

Autores

Cristiane Biazzin Northern Kentucky University
Luciano Castro Carvalho Professor at FURB - Universidade Federal de Blumenau

Resumo

A análise de big data atrai um interesse crescente em estratégias de compras devido à possibilidade de diminuir a complexidade, reduzir custos, dar suporte ao processo assertivo de tomada de decisão e evitar fraudes. No entanto, os profissionais de compras parecem ter dificuldade em definir a melhor maneira de implementar análises complexas de dados. Este artigo tem como objetivo explorar o papel do alinhamento organizacional e do comportamento das pessoas em iniciativas de big data em compras. Em uma pesquisa com 219 executivos, os resultados sugerem que as estratégias de organização e compras devem ser alinhadas e o principal fator a avançar é a redução de custos e a disposição de usar novas tecnologias. Embora os comportamentos sejam relevantes nos processos de gerenciamento de mudanças, os comportamentos atuais do comprador não afetam significativamente a implantação de estratégias de big data.

Biografia Autor

Cristiane Biazzin, Northern Kentucky University

Professor of Supply Chain Management

Referências

Anderson, J. C., Thomson, J. B., and Wynstra, F. (2000). Combining value and price to make purchase decisions in business markets. International Journal of Research in Marketing, 17(4), 307-329.

Agarwal, R., and Dhar, V. (2014). Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research. Information Systems Research, 25(3), 443-448.

Akter, S., Wamba, S. F., Gunasekaran, A., Dubey, R., and Childe, S. J. (2016). How to improve firm performance using big data analytics capability and business strategy alignment? International Journal of Production Economics, 182, 113-131.

Arnold, U., Karner, H. and Schnabel, M. (2005).Target-oriented use of strategic sourcing tools: a critical analysis creating process awareness for electronic reverse auctions. Journal of Purchasing and Supply Management, 11 (2–3), pp.116–128.

Ateş, M. A., van Raaij, E. M., and Wynstra, F. (2018). The impact of purchasing strategy-structure (mis) fit on purchasing cost and innovation performance. Journal of Purchasing and Supply Management, 24(1), 68-82.

Awanis, S., Schlegelmilch, B.B., Cui, C.C. (2017). Asia’s materialists: Reconciling collectivism and materialism. Journal of International Business Studies, 48(8), 964-991.

Badenhorst, J. A. (1994). Unethical behaviour in procurement: A perspective on causes and solutions. Journal of Business Ethics, 13(9), 739-745.

Baier, C., Hartmann, E., and Moser, R. (2008). Strategic alignment and purchasing efficacy: an exploratory analysis of their impact on financial performance. Journal of Supply Chain Management, 44(4), 36-52.

Bao, Y., Zhou, K. Z., and Su, C. (2003). Face consciousness and risk aversion: do they affect consumer decision‐making?. Psychology and Marketing, 20(8), 733-755.

Barbosa, M. W., Vicente, A. D. L. C., Ladeira, M. B., and Oliveira, M. P. V. D. (2018). Managing supply chain resources with Big Data Analytics: a systematic review. International Journal of Logistics Research and Applications, 21(3), 177-200.

Bell, E., and Bryman, A. (2007). The ethics of management research: an exploratory content analysis. British Journal of Management, 18(1), 63-77.

Bello-Orgaz, G., Jung, J. J., and Camacho, D. (2016). Social big data: Recent achievements and new challenges. Information Fusion, 28, 45-59.

Bendoly, E., Donohue, K., and Schultz, K. L. (2006). Behavior in operations management: Assessing recent findings and revisiting old assumptions. Journal of operations management, 24(6), 737-752.

Bendoly, E., and Schoenherr, T. (2005). ERP system and implementation-process benefits: Implications for B2B e-procurement. International Journal of Operations and Production Management, 25(4), 304-319.

Boudreau, J., Hopp, W., McClain, J. O., and Thomas, L. J. (2003). On the interface between operations and human resources management. Manufacturing and Service Operations Management, 5(3), 179-202.

Braganza, A., Brooks, L., Nepelski, D., Ali, M., and Moro, R. (2017). Resource management in big data initiatives: Processes and dynamic capabilities. Journal of Business Research, 70, 328-337.

Buchanan, E. A., and Hvizdak, E. E. (2009). Online survey tools: Ethical and methodological concerns of human research ethics committees. Journal of Empirical Research on Human Research Ethics, 4(2), 37-48.

Byrd, T. A., and Turner, D. E. (2000). Measuring the Flexibility of Information Technology Infrastructure: Exploratory Analysis of a Construct. Journal of Management Information Systems, 17(1), 167-208.

Caniato, F., Luzzini, D., and Ronchi, S. (2014). Purchasing performance management systems: an empirical investigation. Production Planning and Control, 25(7), 616-635.

Carillo, K. D. A. (2017). Let’s stop trying to be “sexy”–preparing managers for the (big) data-driven business era. Business Process Management Journal, 23(3), 598-622.

Carr, A.S., Smeltzer, L.R., (2000). An empirical study of the relationships among purchasing skills and strategic purchasing, financial performance and supplier responsiveness. Journal of Supply Chain Management 36(3), 40–54.

Carr, A.S., Pearson, J.N. (2002). The impact of purchasing and supplier involvement on strategic purchasing and its impact on firm’s performance. International Journal of Operations and Production Management. 22 (9), 1032–1053.

Carter, J.R., Narasimhan, R. (1996). Purchasing and supply management: future directions and trends. Journal of Supply Chain Management, 32 (4), 2–12.

Castells, M. (2011). The rise of the network society. John Wiley and Sons.

Chae, B., Olson, D., and Sheu, C. (2014). The impact of supply chain analytics on operational performance: a resource-based view. International Journal of Production Research, 52(16), 4695-4710.

Chen, H., Chiang, R. H., and Storey, V. C. (2012). Business intelligence and analytics: from big data to big impact. MIS quarterly, 1165-1188.

Chick, G., and Handfield, R. (2014). The Procurement Value Proposition: The Rise of Supply Management. Kogan Page Publishers.

Choo, C. W. (1996). The knowing organization: How organizations use information to construct meaning, create knowledge and make decisions. International Journal of Information Management, 16(5), 329-340.

Constantiou, I. D., and Kallinikos, J. (2015). New games, new rules: big data and the changing context of strategy. Journal of Information Technology, 30(1), 44-57.

Cousins, P. D., Handfield, R. B., Lawson, B., and Petersen, K. J. (2006). Creating supply chain relational capital: the impact of formal and informal socialization processes. Journal of operations management, 24(6), 851-863.

Cox, A., Chicksand, D., Ireland, P., and Davies, T. (2005). Sourcing indirect spend: a survey of current internal and external strategies for non‐revenue‐generating goods and services. Journal of Supply Chain Management, 41(2), 39-51.

Cuganesan, S., and Lee, R. (2006). Intra-organisational influences in procurement networks controls: The impacts of information technology. Management Accounting Research, 17(2), 141-170.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.

Eisenhardt, K. M. (1989). Making Fast Strategic Decisions in High-Velocity Environments. The Academy of Management Journal, 32 (3), 543-57.

Ellram, L. M., and Carr, A. (1994). Strategic purchasing: a history and review of the literature. International journal of purchasing and materials management, 30(1), 9-19.

Ernst, H., and Teichert, T. (1998). The RandD/marketing interface and single informant bias in new product development research: An illustration of a benchmarking case study. Technovation, 18, 721–739.

Evans, J. R., and Mathur, A. (2005). The value of online surveys. Internet research, 15(2), 195-219.

Forza, C. (2002). Survey Research in operations management: a process-based perspective. International Journal of Operations and Production Management, 22(2), 152-194

Flynn, B., Pagell, M., and Fugate, B. (2018). Survey Research Design in Supply Chain Management: The Need for Evolution in Our Expectations. Journal of Supply Chain Management, 54(1), 1-15.

Gadde, L. E., and Håkansson, H. (1994). The changing role of purchasing: reconsidering three strategic issues. European Journal of Purchasing and Supply Management, 1(1), 27-35.

Gebauer, J., and Segev, A. (2001). Changing Shapes of Supply Chains - How the internet could lead to a more integrated procurement function. Supply Chain Forum: An International Journal, 2 (1) pp. 2-9

Gerstner, E. (1985). Do higher prices signal higher quality?. Journal of marketing research, 209-215.

Gino, F., and Pisano, G. (2008). Toward a theory of behavioral operations. Manufacturing and Service Operations Management, 10(4), 676-691.

Gonzalez-Benito, J. (2007). A theory of purchasing's contribution to business performance. Journal of Operations Management, 25(4), 901-917.

Giunipero, L.C., Pearcy, D.H., (2000). World class purchasing skills: an empirical investigation. Journal of Supply Chain Management 36 (4), 4–13.

Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., and Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308-317.

Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., and Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47, 98-115.

Hong, P., and Kwon, H. B. (2012). Emerging issues of procurement management: a review and prospect. International Journal of Procurement Management 4, 5(4), 452-469.

Jacoby, J., and Kyner, D. B. (1973). Brand loyalty vs. repeat purchasing behavior. Journal of Marketing research, 1-9.

Johnston, W. J., and Lewin, J. E. (1996). Organizational buying behavior: Toward an integrative framework. Journal of Business research, 35(1), 1-15.

Kache, F., and Seuring, S. (2017). Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management. International Journal of Operations and Production Management, 37(1), 10-36.

Karjalainen, K., Kemppainen, K., and Van Raaij, E. M. (2009). Non-compliant work behaviour in purchasing: An exploration of reasons behind maverick buying. Journal of business ethics, 85(2), 245.

Kayser, V., Nehrke, B., and Zubovic, D. (2018). Data Science as an Innovation Challenge: From Big Data to Value Proposition. Technology Innovation Management Review, 8(3).

Kim, G., Shin, B., and Kwon, O. (2012). Investigating the value of sociomaterialism in conceptualizing IT capability of a firm. Journal of Management Information Systems, 29(3), 327-362.

Kiron, D., and Shockley, R. (2011). Creating business value with analytics. MIT Sloan Management Review, 53(1), 57.

Knudsen, D. (2003). Aligning corporate strategy, procurement strategy and e-procurement tools. International Journal of Physical Distribution and Logistics Management, 33(8), 720-734.

Krause, D., Luzzini, D., and Lawson, B. (2018). Building the case for a single informant in supply chain management survey research. Journal of Supply Chain Management, 54, 42–50.

Kulp, S. L., Randall, T., Brandyberry, G., and Potts, K. (2006). Using organizational control mechanisms to enhance procurement efficiency: how GlaxoSmithKline improved the effectiveness of e-procurement. Interfaces, 36(3), 209-219.

Lilien, G. L. (2016). The B2B knowledge gap. International Journal of Research in Marketing, 33(3), 543-556.

Lonsdale, C., and Watson, G. (2005). The internal client relationship, demand management and value for money: a conceptual model. Journal of Purchasing and Supply Management, 11(4), 159-171.

MacKenzie, S. B., and Podsakoff, P. M. (2012). Common method bias in marketing: Causes, mechanisms and procedural remedies. Journal of Retailing, 88, 542–555.

Malhotra, N. K. (1984). Reflections on the information overload paradigm in consumer decision making. Journal of consumer research, 10(4), 436-440.

Maruping, L. M., Bala, H., Venkatesh, V., and Brown, S. A. (2017). Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology. Journal of the Association for Information Science and Technology, 68(3), 623-637.

Mitchell, V. W., Walsh, G., and Yamin, M. (2005). Towards a conceptual model of consumer confusion. ACR North American Advances.

Mogre, R., Lindgreen, A., and Hingley, M. (2017). Tracing the evolution of purchasing research: future trends and directions for purchasing practices. Journal of Business and Industrial Marketing, 32(2), 251-257.

Montabon, F., Daugherty, P. J., and Chen, H. (2018). Setting standards for single respondent survey design. Journal of Supply Chain Management, 54(1), 35-41.

Narasimhan, R. and Carter, J.R. (1998). Linking business unit and material sourcing strategies. Journal of Business Logistics, 19(2), 155-71.

Narasimhan, R., and Das, A. (2001). The impact of purchasing integration and practices on manufacturing performance. Journal of operations Management, 19(5), 593-609.

Nicoletti, B. (2013). Lean Six Sigma and digitize procurement. International Journal of Lean Six Sigma, 4(2), 184-203.

Nollet, J., and Beaulieu, M. (2010). L’impact des technologies de linformatioi sur les structures de gestion des achats: des leçons pour la gestion de la chaîne logistique. Logistique and Management, 18(1), 3-16.

Paulraj, A., Chen, I.J., Flynn, J. (2006). Levels of strategic purchasing: impact on supply integration and performance. Journal of Purchasing and Supply Management 12 (3), 107–122.

Phillips, L. W. (1981). Assessing measurement error in key informant reports: A methodological note on organizational analysis in marketing. Journal of Marketing Research, 395-415.

Pohl, M., and Förstl, K. (2011). Achieving purchasing competence through purchasing performance measurement system design—A multiple-case study analysis. Journal of Purchasing and Supply Management, 17(4), 231-245.

Presutti Jr, W. D. (2003). Supply management and e-procurement: creating value added in the supply chain. Industrial marketing management, 32(3), 219-226.

Provost, F., and Fawcett, T. (2013). Data science and its relationship to big data and data-driven decision making. Big data, 1(1), 51-59.

Ramamoorti, S., and Curtis, S. (2003). Procurement fraud and data analytics. The Journal of Government Financial Management, 52(4), 16.

Rodríguez-Escobar, J.A., González-Benito, J. (2017). The effect of strategic alignment on purchasing management, Management Research Review, 40 (11), 1175-1200

Roh, J. A., Whipple, J. M., and Boyer, K. K. (2013). The effect of single rater bias in multi-stakeholder research: A methodological evaluation of buyer-supplier relationships. Production and Operations Management, 22, 711–725

Roßmann, B., Canzaniello, A., von der Gracht, H., and Hartmann, E. (2018). The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study. Technological Forecasting and Social Change, 130, 135-149.

Sanders, N. R. (2014). Big data driven supply chain management: A framework for implementing analytics and turning information into intelligence. Pearson Education.

Setia, P., and Patel, P. C. (2013). How information systems help create OM capabilities: Consequents and antecedents of operational absorptive capacity. Journal of Operations Management, 31(6), 409-431.

Schoemaker, P. J., and Tetlock, P. E. (2017). Building a More Intelligent Enterprise. MIT Sloan Management Review, 58(3), 28.

Schoenherr, T., and Speier‐Pero, C. (2015). Data science, predictive analytics, and big data in supply chain management: Current state and future potential. Journal of Business Logistics, 36(1), 120-132.

Singhal, K., and Singhal, J. (2012). Opportunities for developing the science of operations and supply-chain management. Journal of Operations Management, 30(3), 245-252.

Sheth, J. N. (1973). A model of industrial buyer behaviour. The Journal of marketing, 50-56.

Tassabehji, R., and Moorhouse, A. (2008). The changing role of procurement: Developing professional effectiveness. Journal of Purchasing and Supply Management, 14(1), 55-68.

Terpend, R., Krause, D.R., Dooley, K.J. (2011). Managing buyer–supplier relationships: empirical patterns of strategy formulation in industrial purchasing. Journal of Supply Chain Management, 47 (1), 73–94.

Tippins, M. J., and Sohi, R. S. (2003). IT competency and firm performance: is organizational learning a missing link?. Strategic management journal, 24(8), 745-761.

Van Knippenberg, D., Van Prooijen, J. W., and Sleebos, E. (2015). Beyond social exchange: Collectivism’s moderating role in the relationship between perceived organizational support and organizational citizenship behaviour. European Journal of Work and Organizational Psychology, 24(1), 152-160.

Venkatesh, V., Maruping, L.M., and Brown, S.A. (2006). Role of time in self-prediction of behavior. Organizational Behavior and Human Decision Processes, 100, 160–176.

Walsh, G., and Mitchell, V. W. (2010). The effect of consumer confusion proneness on word of mouth, trust, and customer satisfaction. European Journal of Marketing, 44(6), 838-859.

Waller, M. A., and Fawcett, S. E. (2013). Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management. Journal of Business Logistics, 34(2), 77-84.

Walsh, G., Hennig-Thurau, T. and Mitchell, V.-W. (2007). Consumer confusion proneness: scale development, validation, and application. Journal of Marketing Management, 23 (7/8), pp. 697-721.

Wang, G., Gunasekaran, A., Ngai, E. W., and Papadopoulos, T. (2016). Big data analytics in logistics and supply chain management: Certain investigations for research and applications. International Journal of Production Economics, 176, 98-110.

Watts, C. A., Kim, K. Y., and Hahn, C. K. (1995). Linking purchasing to corporate competitive strategy. Journal of Supply Chain Management, 31(1), 2-8.

Westerski, A., Kanagasabai, R., Wong, J., and Chang, H. (2015). Prediction of enterprise purchases using markov models in procurement analytics applications. Procedia Computer Science, 60, 1357-1366.

Weele, A. J., and Raaij, E. M. (2014). The future of purchasing and supply management research: About relevance and rigor. Journal of Supply Chain Management, 50(1), 56-72.

Wiles, R., Crow, G., Heath, S., and Charles, V. (2008). The management of confidentiality and anonymity in social research. International Journal of Social Research Methodology, 11(5), 417-428.

Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. The Journal of marketing, 2-22.

Zheng, J., Knight, L., Harland, C., Humby, S., and James, K. (2007). An analysis of research into the future of purchasing and supply management. Journal of Purchasing and Supply Management, 13(1), 69-83.