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L’impatto dei Big Data sulle attività di pianificazione & controllo aziendali: In caso di studio di una PMI agricola Italiana
Titolo Rivista: MANAGEMENT CONTROL 
Autori/Curatori: Sebastiano Cupertino, Gianluca Vitale, Angelo Riccaboni 
Anno di pubblicazione:  2018 Fascicolo: Lingua: Italiano 
Numero pagine:  28 P. 59-86 Dimensione file:  320 KB
DOI:  10.3280/MACO2018-003004
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This contribution represents one of the first studies that analyze the role of the current process of digitization and automation in facilitating the introduction of new planning and control practices and/or modifying some already existing ones for small and medium-sized enterprises (SMEs). In particular, the analysis of the case study shows how the adoption of a Decision Support System (DSS) by a SME has led to the formalization of some control activities traditionally processed in a consuetudinary way in the agricultural sector. The analysis also revealed that the company manager has played a decisive role in the introduction of the DSS and that the implementation of such an innovation has improved the awareness of managerial and production actions with a view also to sustainability issues.
Keywords: Big data, DSS, Programming & Control, Agricultural SME, Integrated Governan.

  1. Acemoglu D., Restrepo P. (2017), Robots and Jobs: Evidence from Us Labor Markets (March 2017). NBER Working Paper No. w23285. Consultabile presso: -- https://ssrn.com/abstract=2941263.
  2. Akter Shahriar et al. (2016), How to improve firm performance using big data analytics capability and business strategy alignment?, International Journal of Production Economics 182, pp. 113-131.
  3. Allen R. (1994), Farm potential: high tech leads the average farmer’s know-how, Texas Banking, 88, 11 , pp. 26.
  4. Al-Sharafat A. (2016a), Analyzing Farm Accounting Skills Related to Financial Performance of Dairy Industry: An Evidence from Jordan, Journal of Agricultural Science, 8, 12, pp. 174.
  5. Al-Sharafat A. (2016b), The Impact of the Use of Agricultural Accounting on the Financial Performance of Broiler Industry: A Comparative Evaluation Approach on Broiler Industry in Jordan, Journal of Agricultural Science, 8, 12, pp. 164.
  6. Argiles J.M., Slof E.J. (2001), New opportunities for farm accounting, European Accounting Review, 10, 2, pp. 361-383., 10.1080/09638180126640DOI: 10.1080/09638180126640
  7. Chen H., Chiang R.H., Storey V.C. (2012), Business intelligence and analytics: From big data to big impact, MIS quarterly, 36, 4.
  8. Argiles J.M., Slof E.J. (2003), The use of financial accounting information and firm performance: an empirical quantification for farms, Accounting and Business Research, 33, 4, pp. 251-273., 10.1080/00014788.2003.9729653DOI: 10.1080/00014788.2003.9729653
  9. Balda F., Castelli C., Negri F., Raffi L., Romano G., Sampoli L., Schivardi F. (2017), Rapporto Cerved PMI 2017. Consultabile presso: -- http://know.cerved.com/wp-content/uploads/2018/02/RAPPORTO-CERVED-PMI-2017-min.pdf.
  10. Barmpounakis S., Kaloxylos A., Groumas, A., Katsikas L., Sarris V., Dimtsa K., Wolfert S. (2015), Management and control applications in Agriculture domain via a Future Internet Business-to-Business platform, Information processing in agriculture, 2, 1, pp. 51-63.
  11. Beyer M.A., Laney D. (2012), The importance of ‘big data’: a definition, Stamford, CT, Gartner, 2014-2018.
  12. Bronson K., Knezevic I. (2016), Big Data in food and agriculture, Big Data & Society, 3, 1.
  13. Brown B., Chui M., Manyika J. (2011), Are you ready for the era of ‘big data’, McKinsey Quarterly, 4, 1, 24-35.
  14. Buonanno G., Faverio P., Pigni F., Ravarini A., Sciuto D., Tagliavini M., (2005), Factors affecting ERP system adoption: A comparative analysis between SMEs and large companies, Journal of Enterprise Information Management, 18, 4, pp. 384-426., 10.1108/17410390510609572DOI: 10.1108/17410390510609572
  15. Cheng Y., Kuang Y., Shi X., Dong C. (2018), Sustainable Investment in a Supply Chain in the Big Data Era: An Information Updating Approach, Sustainability, 10, 2, 403.
  16. Burns J., Scapens R.W. (2000), Conceptualising management accounting change: An institutional framework, Management Accounting Research, 11, pp. 3-25.
  17. Byrne A., Kelly T., Ruane D.J. (2003), Business Management Practices on Irish Dairy Farms-The Role Played by Extension, Journal of International Agricultural and Extension Education, 10, 3, pp. 5-11.
  18. Coleman S., Göb R., Manco G., Pievatolo A., Tort‐Martorell X., Reis M.S. (2016), How can SMEs benefit from big data? Challenges and a path forward, Quality and Reliability Engineering International, 32, 6, pp. 2151-2164.
  19. Deakins D., Bensemann J., Battisti M. (2016), Entrepreneurial skill and regulation: Evidence from primary sector rural entrepreneurs, International Journal of Entrepreneurial Behavior & Research, 22, 2, 234-259.
  20. Cardoni A. (2018), Le sfide evolutive del Management Control tra relazioni strategiche, innovazione e discontinuità: a knowledge transfer matter?, Management Control, 1, pp. 5-15., 10.3280/MACO2018-001001DOI: 10.3280/MACO2018-001001
  21. Esmeijer J., Bakker T., Ooms M., Kotterink B. (2015), Data-driven innovation in agriculture: case study for the OECD KBC2-programme, TNO Report, TNO 2015 R10154.
  22. Etzion D., Alberto Aragon-Correa J.A. (2016), Big data, management, and sustainability: Strategic opportunities ahead, pp. 147-155.
  23. Catturi C. (2012), Principi di Economia Aziendale, Padova, CEDAM.
  24. European Commission (2017), Annual report on European SMEs 2016/2017, SME recovery continues. -- Accessibile al: http://ec.europa.eu/growth/smes/business-friendly-environment/performance-review-2016_en.
  25. Faulkner A., Cebul K. (2014), Agriculture Gets Smart: The Rise of Data and Robotics, Cleantech Agriculture Report, Cleantech Group.
  26. Fountas S., Carli G., Sørensen C.G., Tsiropoulos Z., Cavalaris C., Vatsanidou A., Tisserye B. (2015), Farm management information systems: Current situation and future perspectives, Computers and Electronics in Agriculture, 115, 40-50.
  27. Frizzo-Barker J., Chow-White P.A. Mozafari M. Ha D. (2016), An empirical study of the rise of big data in business scholarship, International Journal of Information Management, 36, 3, pp. 403-413.
  28. Galanopoulos K., Aggelopoulos S., Kamenidou I., Mattas K. (2006), Assessing the effects of managerial and production practices on the efficiency of commercial pig farming, Agricultural systems, 88, 2-3, pp. 125-141.
  29. Gandomi A., Haider M. (2015), Beyond the hype: Big data concepts, methods, and analytics, International Journal of Information Management, 35, 2, pp. 137-144.
  30. Garengo P., Biazzo S., Bititci U.S. (2005), Performance measurement systems in SMEs: A review for a research agenda, International journal of management reviews, 7, 1, pp. 25-47.
  31. Giraudeau M. (2017), The farm as an accounting laboratory: an essay on the history of accounting and agriculture, Accounting History Review, 27, 2, pp. 201-215.
  32. Hared B.A., Abdullah Z., Huque S.M.R. (2013), Management Control Systems: A review of literature and a theoretical framework for future researches, Management, 5, 26.
  33. Heuvel R.M.V. (1996), The promise of precision agriculture, Journal of Soil and Water Conservation, 51, 1, pp. 38-40.
  34. Hočevar B., Jaklic J. (2010), Assessing benefits of business intelligence systems – a case study, Management journal of contemporary management issues, 15, 1, pp. 87-119.
  35. IDC (2011), Big Data analytics. Future architectures, skills and roadmaps for the CIO.
  36. Italian Trade Agency (2017), Rapporto ICE 2016-2017. L’Italia nell’economia internazionale.
  37. Jack L. (2006), Protecting agricultural accounting in the UK. Accounting forum, 30, 3, pp. 227-243.
  38. Jack L. (2015), Future making in farm management accounting: The Australian “Blue Book”, Accounting History, 20, 2, pp. 158-182.
  39. Jack L., Florez-Lopez R., Ramon-Jeronimo J.M. (2018), Accounting, performance measurement and fairness in UK fresh produce supply networks, Accounting, Organizations and Society.
  40. Jakobsen M. (2017), Consequences of intensive use of non-financial performance measures in Danish family farm holdings, Qualitative Research in Accounting & Management, 14, 2.
  41. Janssen M., van der Voort H., Wahyudi A. (2017), Factors influencing big data decision-making quality, Journal of Business Research, 70, pp. 338-345.
  42. Jin X., Wah B.W., Cheng X., Wang Y. (2015), Significance and challenges of big data research, Big Data Research, 2, 2, pp. 59-64.
  43. Jonsson F., Sandlund M. (2017), Farmers’ perception of management accounting, Swedish University of Agricultural Science, Department of Economics, Master thesis.
  44. Kohli R., Grover V. (2008), Business Value of IT: An Essay on Expanding Research Directions to Keep up with the Times, Journal of the Association for Information Systems, 9, 1, pp. 23-39.
  45. Laney D. (2001), 3D data management: Controlling data volume, velocity and variety, META Group Research Note, 6, 70.
  46. Langfield-Smith K. (1997), Management control systems and strategy: a critical review, Accounting, organizations and society, 22, 2, pp. 207-232., 10.1016/S0361-3682(95)00040-2DOI: 10.1016/S0361-3682(95)00040-2
  47. Lavia López O.L., Hiebl M.R.W. (2015), Management Accounting in Small and Medium-Sized Enterprises: Current Knowledge and Avenues for Further Research, Journal of Management Accounting Research, Spring, 27, 1, pp. 81-119.
  48. Lesser A. (2014), Big Data and Big Agriculture, Gigaom Research.
  49. Liu P., Yi S.P. (2017), Pricing policies of green supply chain considering targeted advertising and product green degree in the big data environment, Journal of Cleaner Production, 164, pp. 1614-1622.
  50. Liu Y. (2014), Big data and predictive business analytics, The Journal of Business Forecasting, 33, pp. 40-42.
  51. Lueg R., S. Lu (2013), How to improve efficiency in budgeting-The case of business intelligence in SMEs, European Journal of Management, 13, 2, pp. 109-120
  52. Malmi T., Brown D.A. (2008), Management control systems as a package – Opportunities, challenges and research directions, Management accounting research, 19, 4, pp. 287-300.
  53. Mancini D. (2016), Accounting Information Systems in an Open Society. Emerging Trends and Issues, Management Control, 1, pp. 5-16., 10.3280/MACO2016-001001DOI: 10.3280/MACO2016-001001
  54. Marchi L. (2018), Quale metodologia di ricerca sulle tematiche di management Control?, Management Control, 2, pp. 5-10., 10.3280/MACO2018-002001DOI: 10.3280/MACO2018-002001
  55. McAfee A, Brynjolfsson E. (2012), Big data: the management revolution, Harvard Business Review, 90, October, pp. 61-68.
  56. Merchant K.A., Riccaboni A. (2001), Il controllo di gestione, Milano, McGraw-Hill.
  57. Morton L.W., McGuire J.M., Cast A.D. (2017), A good farmer pays attention to the weather, Climate Risk Management, 15, pp. 18-31.
  58. O’Connor C., O’Connor C., Kelly S., Kelly S. (2017), Facilitating knowledge management through filtered big data: SME competitiveness in an agrifood sector, Journal of Knowledge Management, 21, 1, pp. 156-179.
  59. Olsson R. (1988), Management for success in modern agriculture, European Review of Agricultural Economics, 15, pp. 239-259.
  60. Oricchio G., Lugaresi S., Crovetto A., Fontana S. (2017), SMEs in Europe: An Overview. In SME Funding (pp. 7-41), London, Palgrave Macmillan.
  61. Osservatorio PoliMI Smart AgriFood (2018), Coltiva dati. Raccogli valore. La trasformazione digitale dell’agroalimentare. Report.
  62. Otley D.T. (1980), The Contingency Theory of Management Accounting: Achievement and Prognosis, Accounting, Organizations and Society, pp. 413-428., 10.1016/0361-3682(80)90040-9DOI: 10.1016/0361-3682(80)90040-9
  63. Ouchi W.G.A (1979), Conceptual Framework for the Design of Organizational Control Mechanisms, Management Science, pp. 833-849.
  64. Paraforos D.S., Vassiliadis V., Kortenbruck D., Stamkopoulos K., Ziogas V., Sapounas A.A., Griepentrog H.W. (2016), A farm management information system using future internet technologies, IFAC-PapersOnLine, 49(16), pp. 324-329.
  65. Phillipson J., Gorton M., Raley M., Moxey A. (2004), Treating farms as firms? The evolution of farm business support from productionist to entrepreneurial models, Environment and Planning C, Government and policy, 22, 1, pp. 31-54.
  66. Ponzanelli G. (1977), Lezioni di Ragioneria generale, Siena, Libreria Ticci.
  67. Poppe K.J. (1991), Information needs and accounting in agriculture, Agric. Econ. Res. Institute LEI, 444, pp. 1-51.
  68. Poppe K.J., Wolfert J., Verdouw C.N., Renwick A. (2015), A European perspective on the economics of Big Data, Farm Policy Journal, 12, pp. 11-19.
  69. Puig-Junoy J, Argiles JM. (2004), The influence of management accounting use on farm inefficiency, Agricultural Economics Review, 5, pp. 47-66.
  70. Quattrone P. (2016), Management accounting goes digital: Will the move make it wiser?. Management Accounting Research, 31, pp. 118-122.
  71. Raj R., Wong S.H.S., Beaumont A.J. (2016), Business intelligence solution for an SME: a case study, In Proceedings of the International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 41-50), SCITEPRESS-Science and Technology Publications, Lda.
  72. Rogers E.M. (2003), Diffusion of innovations (5th ed.), New York, Free Press.
  73. Russom P. (2011), Big data analytics. TDWI best practices report, fourth quarter, 19, 4, pp. 1-34.
  74. Sandelin M. (2008), Operation of management control practices as a package – A case study on control system variety in a growth firm context, Management Accounting Research, 19, 4, pp. 324-343.
  75. Scapens R.W. (1990), Researching management accounting practice: the role of case study methods, The British Accounting Review, 22, 3, pp. 259-281., 10.1016/0890-8389(90)90008-6DOI: 10.1016/0890-8389(90)90008-6
  76. Sen D., Ozturk M., Vayvay O. (2016), An Overview of Big Data for Growth in SMEs, Procedia-Social and Behavioral Sciences, 235, pp. 159-167.
  77. Shao B.B., Lin W.T. (2016), Assessing output performance of information technology service industries: Productivity, innovation and catch-up, International Journal of Production Economics, 172, pp. 43-53.
  78. Sharma R.S. (2012), Accounting for Agriculture, International Journal of Recent Research and Review, 2, 1, pp. 62-66.
  79. Simons, R. (1994). How new top managers use control systems as levers of strategic renewal, Strategic Management Journal, 15, pp.169-189.
  80. Sivarajah U., Kamal M.M., Irani Z., Weerakkody V. (2017), Critical analysis of Big Data challenges and analytical methods, Journal of Business Research, 70, pp. 263-286.
  81. Sonka S., (2014), Big Data and the Ag sector: more than lots of numbers, International Food and Agribusiness Management Review, 17, 1.
  82. Sonka S. (2015), Big Data: from hype to agricultural tool, Farm Policy Journal, 12, pp. 1-9.
  83. Sun Z., Du K., Zheng F., Yin S. (2013), Perspectives of research and application of Big Data on smart agriculture, J. Agric. Sci. Technol, 15, pp. 63-71.
  84. Taragola N., Van Lierde D., Van Huylenbroeck G. (2002), Accounting data as an aid for decision making of Belgian glasshouse managers, in Beers G. et al. (eds), Pacioli 9 – Innovation in the FADN, pp. 131-146, The Hague.
  85. Tonea E., Butnariu M., Ruşeţ C., Tonea C. (2008), Does the accounting information influence the farm prosperity? Research Journal of Agricultural Science, 40, 3, pp. 355-358.
  86. Trip G., Thijssen G.J., Renkema J.A., Huirne R.B.M. (2002), Measuring managerial efficiency: the case of commercial greenhouse growers, Agricultural Economics, 27, 2, pp. 175-181.
  87. Tyrychtr J., Ulman M., Vostrovský V. (2015), Evaluation of the state of the Business Intelligence among small Czech farms, Agricultural Economics, 61, 2, pp. 63-71.
  88. Vajjhala N.R., Ramollari E. (2016), Big data using cloud computing-opportunities for small and medium-sized enterprises, European Journal of Economics and Business Studies, 4, 1, pp. 129-137.
  89. Wamba S.F., Akter S., Edwards A., Chopin G., Gnanzou D. (2015), How ‘big data’can make big impact: Findings from a systematic review and a longitudinal case study, International Journal of Production Economics, 165, pp. 234-246.
  90. Wamba S.F., Gunasekaran A., Akter S., Ren S. J.F., Dubey R., Childe S.J. (2017), Big data analytics and firm performance: Effects of dynamic capabilities, Journal of Business Research, 70, pp. 356-365.
  91. Ward J.S., Barker, A. (2013), Undefined by data: a survey of big data definitions. arXiv preprint arXiv:1309.5821.
  92. Warren Jr, J.D., Moffitt K.C., Byrnes P. (2015), How Big Data will change accounting, Accounting Horizons, 29, 2, pp. 397-407.
  93. Welfare Index, P. M. I. (2017), Rapporto 2017. Il welfare aziendale fa crescere l’impresa.
  94. Wolfert S., Ge L., Verdouw C., Bogaardt M.J. (2017), Big data in smart farming – a review, Agricultural Systems, 153, pp. 69-80.
  95. Yaaghubi A., Chizari M., Pezshkirad G., Foeli S. (2009), Importance of Farm Management Skills From the Viewpoint of Wheat Farmers in Tafresh Township, Journal of Agricultural Economic and Development, 17, 66, pp. 99-114.

Sebastiano Cupertino, Gianluca Vitale, Angelo Riccaboni, in "MANAGEMENT CONTROL" 3/2018, pp. 59-86, DOI:10.3280/MACO2018-003004

   

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