Các yếu tố thành công then chốt của ngành tàu hỗ trợ ngoài khơi Brasil: Một phương pháp hệ thống linh hoạt

Global Journal of Flexible Systems Management - Tập 21 - Trang 33-48 - 2020
Maciel M. Queiroz1, André Bergsten Mendes2
1Postgraduate Program in Business Administration, Universidade Paulista - UNIP, São Paulo, Brazil
2Department of Naval Architecture and Ocean Engineering, University of Sao Paulo, São Paulo, Brazil

Tóm tắt

Ngành tàu hỗ trợ ngoài khơi (OSV) là rất cần thiết cho sự khám phá và sản xuất dầu khí thành công trên biển. Hiểu rõ các yếu tố quyết định sự thành công của ngành này là rất quan trọng và có thể chỉ ra các hành động cần thực hiện bởi các bên trong ngành để tồn tại trong thị trường này. Mặc dù ngành OSV ở Brasil là một phần của mạng lưới cung ứng rộng lớn, nhưng những người ra quyết định hoạt động trong ngành này vẫn chưa biết rõ các yếu tố thành công then chốt (CSFs) là gì, điều này có tác động đến khả năng linh hoạt của các công ty trong ngành này. Trong bối cảnh này, bài báo này nhằm xác định các CSFs của ngành OSV tại Brasil, một quốc gia mà 95% sản lượng dầu của nó được lấy từ biển và đã phải đối mặt với những biến động kinh tế và chính trị trong những năm gần đây. Trong nghiên cứu này, chín CSFs vĩ mô và 25 CSFs vi mô đã được xác định thông qua một phương pháp tiếp cận hỗn hợp. Nghiên cứu này cung cấp những hiểu biết cho cả các học giả và thực hành liên quan không chỉ đến ngành OSV mà còn đến toàn bộ chuỗi cung ứng dầu khí.

Từ khóa

#tàu hỗ trợ ngoài khơi #ngành công nghiệp dầu khí #yếu tố thành công then chốt #Brasil #phương pháp hệ thống linh hoạt

Tài liệu tham khảo

Aas, B., Gribkovskaia, I., Halskau, Ø., & Shlopak, A. (2007). Routing of supply vessels to petroleum installations. International Journal of Physical Distribution and Logistics Management,37(2), 164–179. https://doi.org/10.1108/09600030710734866. Aas, B., Halskau, Ø. S., & Wallace, S. W. (2009). The role of supply vessels in offshore logistics. Maritime Economics and Logistics,11(3), 302–325. https://doi.org/10.1057/mel.2009.7. Ahmad, N., Haleem, A., & Syed, A. A. (2012). Compilation of critical success factors in implementation of enterprise systems: A study on Indian organisations. Global Journal of Flexible Systems Management,13(4), 217–232. https://doi.org/10.1007/s40171-013-0019-8. Ajmal, M., Helo, P., & Kekäle, T. (2010). Critical factors for knowledge management in project business. Journal of Knowledge Management,14(1), 156–168. https://doi.org/10.1108/13673271011015633. Alhuraish, I., Robledo, C., & Kobi, A. (2017). A comparative exploration of lean manufacturing and six sigma in terms of their critical success factors. Journal of Cleaner Production,164, 325–337. https://doi.org/10.1016/j.jclepro.2017.06.146. Alreemy, Z., Chang, V., Walters, R., & Wills, G. (2016). Critical success factors (CSFs) for information technology governance (ITG). International Journal of Information Management,36(6), 907–916. https://doi.org/10.1016/j.ijinfomgt.2016.05.017. Apreda, R., Bonaccorsi, A., Orletta, F., & Fantoni, G. (2019). Expert forecast and realized outcomes in technology foresight. Technological Forecasting and Social Change,141(C), 277–288. https://doi.org/10.1016/j.techfore.2018.12.006. Azevedo Filho, E. T., Molina Palma, M. A., Perestrelo, M., da Hora, H. R., & Anido Lira, R. (2019). The pre-salt layer and challenges to competitiveness in Brazil: Critical reflections on the local content policy in the oil and gas Sector. The Extractive Industries and Society,6(4), 1168–1173. https://doi.org/10.1016/j.exis.2019.09.009. Bacon, M., Simm, R., & Redshaw, T. (2007). 3-D seismic interpretation. Cambridge: Cambridge University Press. Bai, Y. (2012). Subsea engineering handbook/Yong Bai, Qiang Bai (1st ed.). Amsterdam: Gulf Professional Publishing. Bassi, H. V., Ferreira Filho, V. J. M., & Bahiense, L. (2012). Planning and scheduling a fleet of rigs using simulation-optimization. Computers and Industrial Engineering,63(4), 1074–1088. https://doi.org/10.1016/j.cie.2012.08.001. Bishara, A. J., & Hittner, J. B. (2015). Reducing bias and error in the correlation coefficient due to nonnormality. Educational and Psychological Measurement,75(5), 785–804. https://doi.org/10.1177/0013164414557639. Bonett, D. G., & Wright, T. A. (2000). Sample size requirements for estimating Pearson, Kendall and Spearman correlations. Psychometrika,65(1), 23–28. https://doi.org/10.1007/BF02294183. Brazilian National Agency of Petroleum, Natural Gas and Biofuels. (2017a). Brazil bidding rounds. Rio de Janeiro: Brazilian National Agency of Petroleum, Natural Gas and Biofuels. Brazilian National Agency of Petroleum, Natural Gas and Biofuels. (2017b). Oil and gas opportunities in Brazil 2017–2019 bidding rounds. Rio de Janeiro: Brazilian National Agency of Petroleum, Natural Gas and Biofuels. Brazilian National Agency of Petroleum, Natural Gas and Biofuels. (2019). Oil, natural gas and biofuels statistical yearbook. Rio de Janeiro: Brazilian National Agency of Petroleum, Natural Gas and Biofuels. Retrieved January 13, 2020 from http://www.anp.gov.br/publicacoes/anuario-estatistico/5237-anuario-estatistico-2019. Carmines, E., & Zeller, R. (1979). Reliability and validity assessment, series: Quantitative applications in social science. Newbury Park, CA: Sage. Cheng, T. C. E., & Choy, P. W. C. (2007). Measuring success factors of quality management in the shipping industry. Maritime Economics and Logistics,9(3), 234–253. https://doi.org/10.1057/palgrave.mel.9100179. Chowdhury, M., Paul, H., & Das, A. (2007). The impact of top management commitment on total quality management practice: An exploratory study in the Thai garment industry. Global Journal of Flexible Systems Management,8(1–2), 17–29. https://doi.org/10.1007/BF03396517. Cruz, R., Bergsten Mendes, A., Bahiense, L., & Wu, Y. (2019). Integrating berth allocation decisions in a fleet composition and periodic routing problem of platform supply vessels. European Journal of Operational Research,275(1), 334–346. https://doi.org/10.1016/j.ejor.2018.11.030. Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods,1(1), 16–29. https://doi.org/10.1037/1082-989X.1.1.16. Da Silva Maciel, G., Meza, L. A., & Da Silveira, V. L. F. (2014). Data envelopment analysis in a bidding process: Hiring offshore support vessels by Petrobras (Brazil). Maritime Economics and Logistics,16(2), 127–140. https://doi.org/10.1057/mel.2014.1. Daniel, D. R. (1961). Management information crisis. Harvard Business Review,39(5), 111–116. De Martino, M., & Morvillo, A. (2008). Activities, resources and inter-organizational relationships: Key factors in port competitiveness. Maritime Policy and Management,35(6), 571–589. https://doi.org/10.1080/03088830802469477. Deepali, S. K., & Chaudhary, H. (2017). Quest for effective mentors: A way of mentoring potential entrepreneurs successfully. Global Journal of Flexible Systems Management,18(2), 99–109. https://doi.org/10.1007/s40171-016-0141-5. Dezdar, S., & Sulaiman, A. (2009). Successful enterprise resource planning implementation: Taxonomy of critical factors. Industrial Management and Data Systems,109(8), 1037–1052. https://doi.org/10.1108/02635570910991283. Doty, D. H., & Glick, W. H. (1998). Common methods bias: Does common methods variance really bias results? Organizational Research Methods,1(4), 374–406. https://doi.org/10.1177/109442819814002. Dubey, R., Gunasekaran, A., Childe, S. J., Wamba, S. F., & Papadopoulos, T. (2016). The impact of big data on world-class sustainable manufacturing. International Journal of Advanced Manufacturing Technology,84, 631–645. https://doi.org/10.1007/s00170-015-7674-1. El-Reedy, M. (2012). Offshore structures: Design, construction and maintenance (1st ed.). Amsterdam: Gulf Professional Publishing. Estrella, G. (2009). Pré-sal: regime de partilha: Apresentação na Comissão de Serviços de Infraestrutura do Senado Federal. Retrieved May 13, 2018 from http://www.senado.gov.br/sf/comissoes/ci/ap/AP20091005_Senado_E.pdf. Fagerholt, K., & Lindstad, H. (2000). Optimal policies for maintaining a supply service in the Norwegian Sea. Omega-International Journal of Management Science,28(3), 269–275. https://doi.org/10.1016/s0305-0483(99)00054-7. Farooq, M., & Raju, V. (2019). Impact of over-the-top (OTT) services on the telecom companies in the era of transformative marketing. Global Journal of Flexible Systems Management,20(2), 177–188. https://doi.org/10.1007/s40171-019-00209-6. Fernández Cuesta, E., Andersson, H., Fagerholt, K., & Laporte, G. (2017). Vessel routing with pickups and deliveries: An application to the supply of offshore oil platforms. Computers and Operations Research,79(October), 140–147. https://doi.org/10.1016/j.cor.2016.10.014. Fui-Hoon Nah, F., Lee-Shang Lau, J., & Kuang, J. (2001). Critical factors for successful implementation of enterprise systems. Business Process Management Journal,7(3), 285–296. https://doi.org/10.1108/14637150110392782. Gerwick, C. B. (2007). Marine and offshore structures construction (3rd ed.). London: CRC Press. Goel, S., Dwivedi, R., & Sherry, A. M. (2012). Critical factors for successful implementation of e-governance programs: A case study of HUDA. Global Journal of Flexible Systems Management,13(4), 233–244. https://doi.org/10.1007/s40171-013-0021-1. Gribkovskaia, I., Laporte, G., & Shlopak, A. (2008). A tabu search heuristic for a routing problem arising in servicing of offshore oil and gas platforms. Journal of the Operational Research Society,59(11), 1449–1459. https://doi.org/10.1057/palgrave.jors.2602469. Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., et al. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research,70(January), 308–317. https://doi.org/10.1016/j.jbusres.2016.08.004. Halvorsen-Weare, E. E., Fagerholt, K., Nonås, L. M., & Asbjornslett, B. E. (2012). Optimal fleet composition and periodic routing of offshore supply vessels. European Journal of Operational Research,223(2), 508–517. https://doi.org/10.1016/j.ejor.2012.06.017. Hofer, C. W., & Schendel, D. (1978). Strategy formulation: Analytical concepts. Cincinnati, OH: South-Western. Hu, A. H., & Hsu, C. (2010). Critical factors for implementing green supply chain management practice. Management Research Review,33(6), 586–608. https://doi.org/10.1108/01409171011050208. Inoue, H., & Yamada, S. (2013). Critical factors for process improvement in pharmaceutical research. The TQM Journal,25(2), 141–152. https://doi.org/10.1108/17542731311299582. Jabbour, C. J. C., & de Jabbour, A. B. L. S. (2014). Latin America: Research opportunities on management for sustainable development. Latin American Journal of Management for Sustainable Development. https://doi.org/10.1504/LAJMSD.2014.059780. Jenssen, J. I., & Randøy, T. (2002). Factors that promote innovation in shipping companies. Maritime Policy and Management,29(2), 119–133. https://doi.org/10.1080/03088830600895485. Jenssen, J. I., & Randøy, T. (2006). The performance effect of innovation in shipping companies. Maritime Policy and Management,33(4), 327–343. https://doi.org/10.1080/03088830600895485. Kache, F., & Seuring, S. (2014). Linking collaboration and integration to risk and performance in supply chains via a review of literature reviews. Supply Chain Management: An International Journal,19(5/6), 664–682. https://doi.org/10.1108/SCM-12-2013-0478. Kaiser, M. J. (2010). An integrated systems framework for service vessel forecasting in the Gulf of Mexico. Energy,35(7), 2777–2795. https://doi.org/10.1016/j.energy.2010.02.028. Kaiser, M. J. (2015). Offshore service vessel activity forecast and regulatory modeling in the U.S. Gulf of Mexico, 2012–2017. Marine Policy,57(2015), 132–146. https://doi.org/10.1016/j.marpol.2015.03.022. Kaiser, M. J. (2016). Service vessel activity in the U.S. Gulf of Mexico in support of the oil and gas industry using AIS data, 2009–2010. Marine Policy,63, 61–80. https://doi.org/10.1016/j.marpol.2015.09.032. Kaiser, M. J., & Narra, S. (2014). Application of AIS data in service vessel activity description in the Gulf of Mexico. Maritime Economics and Logistics,16(4), 436–466. https://doi.org/10.1057/mel.2014.25. Kaiser, M. J., & Snyder, B. (2010). An empirical analysis of offshore service vessel utilization in the US Gulf of Mexico. International Journal of Energy Sector Management,4(2), 152–182. https://doi.org/10.1108/17506221011058687. Kaiser, M. J., & Snyder, B. (2013a). Modelling service vessel activity in the Outer Continental Shelf Gulf of Mexico. International Journal of Logistics Research and Applications,16(1), 51–85. https://doi.org/10.1080/13675567.2013.772958. Kaiser, M. J., & Snyder, B. F. (2013b). Economic impacts of the offshore supply vessel shipbuilding market in the Gulf of Mexico. Maritime Economics and Logistics,15(2), 256–287. https://doi.org/10.1057/mel.2013.4. Kess, P., Law, K. M. Y., Kanchana, R., & Phusavat, K. (2010). Critical factors for an effective business value chain. Industrial Management and Data Systems,110(1), 63–77. https://doi.org/10.1108/02635571011008407. Kulshreshtha, R., Kumar, A., Tripathi, A., & Likhi, D. K. (2017). Critical success factors in implementation of urban metro system on PPP: A case study of Hyderabad Metro. Global Journal of Flexible Systems Management,18(4), 303–320. https://doi.org/10.1007/s40171-017-0164-6. Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics,33(1), 159–174. https://doi.org/10.2307/2529310. Li, P., Cai, Q., Lin, W., Chen, B., & Zhang, B. (2016). Offshore oil spill response practices and emerging challenges. Marine Pollution Bulletin,110(1), 6–27. https://doi.org/10.1016/j.marpolbul.2016.06.020. Lin, C., Tan, B., & Chang, S. (2002). The critical factors for technology absorptive capacity. Industrial Management and Data Systems,102(6), 300–308. https://doi.org/10.1108/02635570210431993. Martins, I. D., Bahiense, L., Infante, C. E. D., & Arruda, E. F. (2020). Dimensionality reduction for multi-criteria problems: An application to the decommissioning of oil and gas installations. Expert Systems with Applications,148, e113236. https://doi.org/10.1016/j.eswa.2020.113236. McKinnon, A. (2014). The possible influence of the shipper on carbon emissions from deep-sea container supply chains: An empirical analysis. Maritime Economics and Logistics,16(1), 1–19. https://doi.org/10.1057/mel.2013.25. Mittal, S. (2019). Role of continuity, specificity and frequency of firm–supplier exchanges in customer fulfilment: Evidence from Latin America. Global Journal of Flexible Systems Management,20(s1), 25–37. https://doi.org/10.1007/s40171-019-00222-9. Motwani, J. (2001). Critical factors and performance measures of TQM. The TQM Magazine,13(4), 292–300. https://doi.org/10.1108/13683040010362300. Norlund, E. K., & Gribkovskaia, I. (2013). Reducing emissions through speed optimization in supply vessel operations. Transportation Research Part D: Transport and Environment,23, 105–113. https://doi.org/10.1016/j.trd.2013.04.007. Norlund, E. K., Gribkovskaia, I., & Laporte, G. (2015). Supply vessel planning under cost, environment and robustness considerations. Omega,57, 271–281. https://doi.org/10.1016/j.omega.2015.05.006. Patil, M., & Suresh, M. (2019). Modelling the enablers of workforce agility in IoT projects: A TISM approach. Global Journal of Flexible Systems Management,20(2), 157–175. https://doi.org/10.1007/s40171-019-00208-7. Phusavat, K., Kess, P., Law, K., & Kanchana, R. (2010). Sustaining effective business value chain: Future challenges. Industrial Management and Data Systems,110(8), 1176–1191. https://doi.org/10.1108/02635571011077825. Podsakoff, P. M., & Organ, D. W. (1986). Self-Reports in organizational research: Problems and prospects. Journal of Management,12(4), 531–544. https://doi.org/10.1177/014920638601200408. Psomas, E. L., Fotopoulos, C. V., & Kafetzopoulos, D. P. (2010). Critical factors for effective implementation of ISO 9001 in SME service companies. Managing Service Quality: An International Journal,20(5), 440–457. https://doi.org/10.1108/09604521011073731. Queiroz, M. M., Fosso Wamba, S., Machado, M. C., & Telles, R. (2020). Smart production systems drivers for business process management improvement: An integrative framework. Business Process Management Journal. https://doi.org/10.1108/BPMJ-03-2019-0134. Queiroz, M. M., Pereira, S. C. F., Telles, R., & Machado, M. C. (2019). Industry and digital supply chain capabilities. Benchmarking: An International Journal. https://doi.org/10.1108/BIJ-12-2018-0435. Ritchie, G. (2004). Practical introduction to anchor handling and supply vessel operations. London: Oilfield Publications Ltd. Ritchie, G. (2008). Offshore support vessels: A practical guide. London: The Nautical Institute. Roberta Pereira, C., Christopher, M., & Lago Da Silva, A. (2014). Achieving supply chain resilience: The role of procurement. Supply Chain Management: An International Journal,19(5/6), 626–642. https://doi.org/10.1108/SCM-09-2013-0346. Rockart, J. F. (1979). Chief executives define their own information needs. Harvard Business Review,57, 81–92. Rosa Pires Da Cruz, M., Ferreira, J. J., & Garrido Azevedo, S. (2013). Key factors of seaport competitiveness based on the stakeholder perspective: An analytic hierarchy process (AHP) model. Maritime Economics and Logistics,15(4), 416–443. https://doi.org/10.1057/mel.2013.14. Scaglione, V. L. T., Meyer, V., & Mamédio, D. F. (2019). Improvisation in higher education management: Coping with complexity and organizational dynamics. Global Journal of Flexible Systems Management,20(4), 291–302. https://doi.org/10.1007/s40171-019-00215-8. Seixas, M. P., Mendes, A. B., Pereira Barretto, M. R., Da Cunha, C. B., Brinati, M. A., Cruz, R. E., et al. (2016). A heuristic approach to stowing general cargo into platform supply vessels. Journal of the Operational Research Society,67(1), 148–158. https://doi.org/10.1057/jors.2015.62. Shahu, R., Pundir, A. K., & Ganapathy, L. (2012). An empirical study on flexibility: A critical success factor of construction projects. Global Journal of Flexible Systems Management,13(3), 123–128. https://doi.org/10.1007/s40171-012-0014-5. Sharaan, M., Negm, A., Iskander, M., & Nadaoka, K. (2017). Questionnaire-based assessment of Mediterranean fishing ports, Nile Delta, Egypt. Marine Policy,81, 98–108. https://doi.org/10.1016/j.marpol.2017.03.024. Sharma, A., Medudula, M. K., & Patro, S. (2015). Marketing flexibility interaction matrix and consumer clusters preference criteria in telecommunication sector. Global Journal of Flexible Systems Management,16(3), 295–307. https://doi.org/10.1007/s40171-015-0101-5. Shyshou, A., Gribkovskaia, I., & Barceló, J. (2010). A simulation study of the fleet sizing problem arising in offshore anchor handling operations. European Journal of Operational Research,203(1), 230–240. https://doi.org/10.1016/j.ejor.2009.07.012. Silvestre, B. S., Gimenes, F. A. P., & e Silva Neto, R. (2017). A sustainability paradox? Sustainable operations in the offshore oil and gas industry: The case of Petrobras. Journal of Cleaner Production,142, 360–370. https://doi.org/10.1016/j.jclepro.2016.07.215. Singh, R. K. (2015). Modelling of critical factors for responsiveness in supply chain. Journal of Manufacturing Technology Management,26(6), 868–888. https://doi.org/10.1108/JMTM-04-2014-0042. Stavroulakis, P. J., & Papadimitriou, S. (2016). The strategic factors shaping competitiveness for maritime clusters. Research in Transportation Business and Management,19, 34–41. https://doi.org/10.1016/j.rtbm.2016.03.004. Su, J., & Liu, J. (2012). Exploring critical factors in China’s manufacturing technology innovation: Based on a case study from CNR Dalian. Journal of Knowledge-Based Innovation in China,4(2), 104–117. https://doi.org/10.1108/17561411211235712. Sushil. (2018a). Flexible systems methodology: A mixed-method/multi-method research approach. Global Journal of Flexible Systems Management,19(2), 109–110. https://doi.org/10.1007/s40171-018-0190-z. Sushil. (2018b). Is management science applicable at the top level? Global Journal of Flexible Systems Management. https://doi.org/10.1007/s40171-017-0175-3. Ullah, F., Ayub, B., Siddiqui, S. Q., & Thaheem, M. J. (2016). A review of public-private partnership: critical factors of concession period. Journal of Financial Management of Property and Construction,21(3), 269–300. https://doi.org/10.1108/JFMPC-02-2016-0011. World Economic Forum. (2020). India is now the world’s 5th largest economy. Retrieved March 13, 2020 from https://www.weforum.org/agenda/2020/02/india-gdp-economy-growth-uk-france/. Yadav, M., Rangnekar, S., & Bamel, U. (2016). Workplace flexibility dimensions as enablers of organizational citizenship behavior. Global Journal of Flexible Systems Management,17(1), 41–56. https://doi.org/10.1007/s40171-015-0117-x. Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). Beverly Hills, CA: Sage. Yuen, K. F., & Thai, V. (2017). Barriers to supply chain integration in the maritime logistics industry. Maritime Economics and Logistics,19(3), 551–572. https://doi.org/10.1057/mel.2016.10. Zhu, L., & Zhao, Y. C. (2015). A feasibility assessment of the application of the polluter-pays principle to ship-source pollution in Hong Kong. Marine Policy,57, 36–44. https://doi.org/10.1016/j.marpol.2015.03.010.