Maritime Energy Efficiency in a Sociotechnical System: A Collaborative Learning Synergy via Mediating Technologies

Man, Y.; Lundh, M.; MacKinnon, S.

doi:10.12716/1001.12.02.03

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Tytuł artykułu

Maritime Energy Efficiency in a Sociotechnical System: A Collaborative Learning Synergy via Mediating Technologies

Autorzy

Man Y. , Lundh M. , MacKinnon S.

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DOI

10.12716/1001.12.02.03

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Abstrakty

Previous research in the domain of maritime energy efficiency has mainly addressed concerns regarding individual experiences and organizational barriers. Reflection on the reciprocal human-technology relationship, interaction design and its impact on the practitioners’ learning and organizational decision-making process is rather scarce. Informed by focus group interviews, this paper describes the essence of practitioners’ activities and the nature of interaction design and proposed improved design for energy efficiency monitoring systems. Findings suggest knowledge sharing for a mutual understanding onboard ships is critical to energy efficiency. Learning can go beyond the embodiment of individual cognitive change but becomes a collective and collaborative achievement mediated by technology, which informs opportunities for interaction design. The design needs to consider the context in which knowledge mobilisation occurs and facilitate collaborative learning. With more intelligent systems introduced to the shipping industry, it is important to consider the impact of mediating technologies in management practices and mediating technologies can be integrated into a broader collaborative learning paradigm emerging between the ship and shore. This study highlights those social-cultural dimensions important to establishing a common ground between practitioners, management and advanced technologies.

Słowa kluczowe

energy efficiency sociotechnical system mediating technologies learning synergy maritime energy collaborative learning synergy collaborative learning decision-making process

Wydawca

Faculty of Navigation, Gdynia Maritime University

Czasopismo

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

Rocznik

2018

Tom

Vol. 12, no. 2

Strony

239--250

Opis fizyczny

Bibliogr. 79 poz., rys.

Twórcy

autor

Man Y.

Chalmers University of Technology, Gothenburg, Sweden

autor

Lundh M.

Chalmers University of Technology, Gothenburg, Sweden

autor

MacKinnon S.

Chalmers University of Technology, Gothenburg, Sweden

Bibliografia

1. IMO, Third IMO Greenhouse Gas Study: Executive Summary and Final Report. 2014, International Maritime Organization (IMO): London, UK.
2. Eyring, V., et al., Transport impacts on atmosphere and climate: Shipping. Atmospheric Environment, 2010. 44(37): p. 4735‐4771.
3. Buhaug, Ø., et al., Second IMO GHG Study. 2009, International Maritime Organization: London, UK.
4. IMO, ANNEX 19, RESOLUTION MEPC.203(62) ‐ AMENDMENTS TO THE ANNEX OF THE PROTOCOL OF 1997 TO AMEND THE INTERNATIONAL CONVENTION FOR THE PREVENTION OF POLLUTION FROM SHIPS, 1973, AS MODIFIED BY THE PROTOCOL OF 1978 RELATING THERETO 2011.
5. Bännstrand, M., et al., Study on the optimization of energy consumption as part of implementation of a Ship Energy Efficiency Management Plan (SEEMP). 2016, International Maritime Organisation (IMO): London, UK.
6. Viktorelius, M. and M. Lundh, The Role of Distributed Cognition in Ship Energy Optimization, in Energy Efficient Ships. 2016: London, UK.
7. Johnson, H. and K. Andersson, Barriers to energy efficiency in shipping. WMU Journal of Maritime Affairs, 2016. 15(1): p. 79‐96.
8. van Dokkum, K., Ship Knowledge (8ed). 2013, Enkhuizen, The Netherlands: Dokmar Maritime Publishers BV.
9. Flin, R., P. OʹConnor, and M. Crichton, Safety at the sharp end ‐ a guide to non‐technical skills. 2008, London: Ashgate.
10. Kataria, A., et al., Exploring Bridge‐Engine Control Room Collaborative Team Communication. TransNav ‐ the International Journal on Marine Navigation and Safety of Sea Transportation, 2015. 9(2): p. 169‐176
11. Klein, G., et al., Common ground and coordination in joint activity. Organzational simulation, ed. W.R.K. Boff. 2005, New York: Wiley.
12. Brennan, S.E., The grounding problem in conversations with and through computers. Social and cognitive psychological approaches to interpersonal communication ed. S.R. Fussel and R.J. Kreuz. 1998, Mahwah, NJ: Lawrence Erlbaum Associates.
13. Clark, H., Using language. 1996, Cambridge: Cambridge University Press.
14. Vygotsky, L., Mind in Society: The Development of Higher Psychological Processes. 1978, Cambridge, Massachusetts: Harvard University Press.
15. Leontʹev, A.N., Activity Consciousness and Peronality. 1978, Engelwood Cliffs, NJ: Prentice‐Hall.
16. Kaptelinin, V. and B.A. Nardi, Acting with Technology: Activity Theory and Interaction Design. 2006, Cambridge: MIT Press.
17. Banks, C., et al., Seafarersʹs current awareness, knowledge, motivation and ideas towards low carbon ‐ energy efficient operations, in LCS 2012 ‐ 2nd International Conference on Technologies, Operations, Logistics and Modelling for Low Carbon Shipping. 2012: School of Marine Science and Technology.
18. Kitada, M. and A. Ölçer. A Contemporary Outlook on Human Element in Energy Efficient Seaborne Transportation. in 16th IAMU Annual General Assembly. 2015. Opatija, Croatia.
19. Schultze, U. and D.E. Leidner, Studying knowledge management in information systems research: discourses and theoretical assumptions. MIS Q., 2002. 26(3): p. 213‐242.
20. Röling, N., The emergence of knowledge systems thinking: A changing perception of relationships among innovation, knowledge process and configuration. Knowledge and Policy, 1992. 5(1): p. 42‐64.
21. Dissanayake, W., Communication Models in Knowledge Generation, Dissemination and utilization Activities, in Knowledge Generation, Exchange, and Utilization, G.M.B.e. al., Editor. 1986, Westview Press: Boulder, Colorado,.
22. Büchel, B. and S. Raub, Building Knowledge‐creating Value Networks. European Management Journal, 2002. 20(6): p. 587‐596.
23. Flach, J.M., et al., Decisionmaking in practice: The dynamics of muddling through. Applied Ergonomics, 2017. 63: p. 133‐141.
24. Vicente, K.J., Cognitive work analysis: Toward safe, productive, and healthy computer‐based work. 1999, Mahwah, NJ: Lawrence Erlbaum Associates Inc. .
25. Engeström, Y., Learning by expanding: An activitytheoretical approach to developmental research. 1987, Helsinki: Orienta‐Konsultit Oy.
26. Engeström, Y., Expansive Learning at Work: Toward an activity theoretical reconceptualization. Journal of Education and Work, 2001. 14(1): p. 133‐156.
27. Lave, J., Situating learning in communities of practice. Perspectives on socially shared cognition, ed. J.L. L. Resnick, and S. Teasley. 1991, Washington, DC: APA.
28. Roselli, N.D., Collaborative learning: Theoretical foundations and applicable strategies to university. Journal of Educational Psychology, 2016. 4(1): p. 219‐280.
29. Lave, J., Cognition in practice: Mind, mathematics and culture in everyday life. 1988, New York, US: Cambridge University Press.
30. Orr, J.E., Talking About Machines: An Ethnography of A Modern Job 1996, U.S.: Cornell University Press.
31. Parent, R., M. Roy, and D. St‐Jacques, A systems based dynamic knowledge transfer capacity model. Journal of Knowledge Management, 2007. 11(6): p. 81‐93.
32. Lave, J. and E. Wenger, Situated Learning ‐ Legitimate peripheral participation. 1991, Cambrige, UK: Cambridge University Press.
33. Lundin, J., Talking about work. Designing information technology for learning in interaction, in Department of Informatics. 2005, University of Gothenburg: Gothenburg Sweden.
34. Leidner, D.E. and S.L. Jarvenpaa, The use of information technology to enhance management school education: a theoretical view. MIS Q., 1995. 19(3): p. 265‐291.
35. Wenger, E., Communities of practice: Learning, meaning, and identity. 1998: Cambridge university press.
36. Wenger, E., R.A. McDermott, and W. Snyder, Cultivating communities of practice: A guide to managing knowledge. 2002: Harvard Business Press.
37. Dillenbourg, P., What do you mean by collaborative learning? Collaborative‐learning: Cognitive and. Computational Approaches, ed. P. Dillenbourg. 1999, Oxford, UK: Elsevier Publishing.
38. Johnson, D.W., et al., Impact of group processing on achievement in cooperative groups. The Journal of Social Psychology, 1990. 130(4): p. 507‐516.
39. Vygotsky, L., Thought and language. 1962, Cambridge, MA: MIT Press.
40. Leontʹev, A.N., Problems of the development of the mind 1981, Moscow: Progress.
41. Cole, M. and Y. Engeström, A Cultural‐Historical Approach to Distributed Cognition. Distributed Cognitions: Psychological and Educational Considerations, ed. G. Salomon. 1993, New York: Cambridge University Press.
42. Acciaro, M., P.N. Hoffmann, and M.S. Eide, The Energy Efficiency Gap in Maritime Transport. Journal of Shipping and Ocean Engineering, 2013. 3(10): p. 1‐10.
43. Jafarzadeh, S. and I.B. Utne, A framework to bridge the energy efficiency gap in shipping. Energy, 2014. 69(Supplement C): p. 603‐612.
44. Johnson, H., et al., Will the ship energy efficiency management plan reduce CO2 emissions? A comparison with ISO 50001 and the ISM code. Maritime Policy & Management, 2013. 40(2): p. 177‐190.
45. Poulsen, R.T. and H. Johnson, The logic of business vs. the logic of energy management practice: understanding the choices and effects of energy consumption monitoring systems in shipping companies. Journal of Cleaner Production, 2016. 112: p. 3785‐3797.
46. Johnson, H., M. Johansson, and K. Andersson, Barriers to improving energy efficiency in short sea shipping: an action research case study. Journal of Cleaner Production, 2014. 66(Supplement C): p. 317‐327
47. Hetherington, C., R. Flin, and K. Mearns, Safety in shipping: The human element. Journal of Safety Research, 2006. 37(4): p. 401‐411.
48. Nardi, B.A., Context and Consciousness: Activity Theory and Human‐computer Interaction. 1996, Cambridge: MIT Press.
49. Baldi, F., Improving Ship Energy Efficiency through a Systems Perspective, in Institutionen för sjöfart och marin teknik, Maritime Operations. 2013, Chalmers University of Technology: Göteborg.
50. Vesting, F., et al., Procedure for Application‐Oriented Optimisation of Marine Propellers. Journal of Marine Science and Engineering, 2016. 4(4): p. 83.
51. UNECLAC, Measures to improve energy efficiency in shipping. FACILITATION OF TRANSPORT AND TRADE IN LATIN AMERICA AND THE CARIBBEAN, 2013. 8(324).
52. Bazari, Z. and T. Longva, Assessment of IMO Mandated Energy Efficiency Measures for International Shipping. 2011: London.
53. Kaptelinin, V., Distribution of cognition between minds and artifacts: Augmentation of mediation? AI & SOCIETY, 1996. 10(1): p. 15‐25.
54. Viktorelius, M., Expanding practice theory in energy research ‐ a cultural‐historical activity perspective. Energy Research and Social Science, 2017. Under reviewing. .
55. Viktorelius, M., The human and social dimension of energy efficient ship operation, in The International Conference on Maritime Energy Management. 2017: Malmö, Sweden.
56. Corbin, J. and A. Strauss, Basics of Qualitative Research 3e. 2008: SAGE Publications, Inc.
57. Patton, M.Q., Qualitative research & evaluation methods. 2002, Thousand Oaks Ca.: Sage. xxiv, 598 p.
58. Kuckartz, U., Qualitative Text Analysis: A Guide to Methods, Practice and Using Software. 2014, London, UK: SAGE Publications Inc.
59. Goodman, E., M. Kuniavsky, and A. Moed, Observing the User Experience, Second Edition: A Practitionerʹs Guide to User Research. 2012, USA: Morgan Kaufmann Publishers Inc. 608.
60. Ivey, J., Focus Groups. Pediatric Nursing, 2011. 37(5): p. 251.
61. Flach, J.M. and F. Voorhorst, What Matters: Putting Common Sense to Work. 2016, Dayton, USA: Wright State University Libraries.
62. Laal, M. and M. Laal, Collaborative learning: what is it? Procedia ‐ Social and Behavioral Sciences, 2012. 31: p. 491‐495.
63. Storey, V.C. and R.C. Goldstein, Knowledge‐based approaches to database design. MIS Q., 1993. 17(1): p. 25‐46.
64. Obretenov, D., et al., A knowledge‐based approach to relational database design. Data & Knowledge Engineering, 1988. 3(3): p. 173‐180.
65. Lee, S. and R. Oʹkeefe, An experimental investigation into the process of knowledge‐based systems development. European Journal of Information Systems, 1996. 5(4): p. 233‐249.
66. Alavi, M. and D.E. Leidner, Research Commentary: Technology‐Mediated Learning—A Call for Greater Depth and Breadth of Research. Information Systems Research, 2001. 12(1): p. 1‐10.
67. Johannsen, G., Human‐machine interaction., in Encyclopedia of Life Support Systems (EOLSS): Control Systems, Robotics, and Automation. 2007, EOLSS Publishers: Paris, France.
68. Flach, J.M., Situation Awareness: Context Matters! A Commentary on Endsley. Journal of Cognitive Engineering and Decision Making, 2015. 9(1): p. 59‐72.
69. Suchman, L.A., Human‐Machine Reconfigurations: Plans and Situated Actions. 2007, NY, USA: Cambridge University Press.
70. Carroll, J.M., W.A. Kellogg, and M.B. Rosson, The taskartifact cycle, in Designing interaction. 1991, Cambridge University Press. p. 74‐102.
71. Löwgren, J. and E. Stolterman, Thoughtful Interaction Design: A Design Perspective on Information Technology. 2004: The MIT Press.
72. Winograd, T., Bringing Design to Software. 1996, US: Addison‐Wesley.
73. Koschmann, T., Paradigm Shifts and Instructional Technology. CSCL: Theory and practice of an emerging paradigm, ed. T. Koschmann. 1996, Mahwah, NJ: Lawrence Erlbaum.
74. Stahl, G., T. Koschmann, and D. Suthers, Computersupported collaborative learning: An historical perspective. Cambridge handbook of the learning sciences, ed. R.K. Sawyer. 2006, Cambridge, UK: Cambridge University Press.
75. Lundh, M., et al., Working conditions in the engine department – A qualitative study among engine room personnel on board Swedish merchant ships. Applied Ergonomics, 2011. 42(2): p. 384‐390.
76. Lundh, M. and L.W. Rydstedt, A static organization in a dynamic context – A qualitative study of changes in working conditions for Swedish engine officers. Applied Ergonomics, 2016. 55: p. 1‐7.
77. Viktor Mayer‐Schönberger and K. Cukier, Big Data: A Revolution That Will Transform How We Live, Work, and Think. 2013, UK: John Murray.
78. Rødseth, Ø.J., L.P. Perera, and B. Mo. Big Data in Shipping ‐ Challenges and Opportunities. in 15th International Conference on Computer and IT Applications in the Maritime Industries ‐ COMPIT ʹ16. 2016. Lecce, Italy: Technische Universtat Hamburg.
79. PwC, The human factor: Working with machines to make big decisions, in PwCʹs Global Data and Analytics 2016: Big Data. 2016, PwC: US

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).

Typ dokumentu

Bibliografia

Identyfikator YADDA

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