The Influence of Knowledge Management, Safety Climate, and Information Technology Capabilities on a Smart Emergency Logistics System: A Study of BDMS Emergency Services
Article Sidebar
Main Article Content
Abstract
OBJECTIVES: This research is to study a causal relationship model of knowledge management (KM), safety climate (SCL), and information technology capabilities (ITC) that affect the smart emergency logistics system (SELS) at the emergency services network at Bangkok Dusit Medical Services Public Company Limited (BDMS).
MATERIALS AND METHODS: This research used the mixed-methods research technique: starting first with a qualitative research approach, via in-depth interviews with senior executives, managers, employees, and specialists in emergency services, totaling 16 people, and; by collecting a questionnaire completed by 378 people at EMS-BDMS. Data were analyzed using descriptive statistics and inferential statistics with structural equation modeling.
RESULTS: From the study, it was found that KM, SC, and ITC had a positive influence on SELS. The analysis of the structural equation model found that it was in line with the empirical data and scored at a good level. The Cronbach’s alpha coefficient confidential score was between 0.82 - 0.94.
CONCLUSION: This research shows that the development and mobilization of emergency care with KM, SCL, and ITC as SELS forms an innovative model (Kritwaroj Model) of the SELS.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
References
Jittamai P. Supply chain planning for emergency service management in regional level. National Institute for Emergency
Medicine.2014:11-15. (Accessed April 4,2022, at https://www.niems.go.th/1/upload/migrate/ file/255907041830181834_kqymARLsVzKmKsMN.pdf.) 2. Martin JL, Varilly H, Cohn J, et al. Preface: Technologies for a Smarter Planet. IBM JRD 2010;54(4):1-2. doi:10.1147/ JRD.2010.2051498
National Institute for Emergency Medicine.The 4th Emergency Medical Principle Plan, 2023-2027.2022 (Accessed December 15, 2022, at https://www.niems.go.th/1/ UploadAttachFile/2022/EBook/416665_20221031093559. pdf
Wongchaisuriya R, Pintatham K, Kowjiriyaphan Y, et al. Factors related to mortality of accidental patients delivered with the advanced emergency kit of Chiang Rai Prajanukroh Hospital. J Emer Med Serv Thai 2021;1(1), 14-22. doi: 10.14456/jemst.2021.2
Mulholland RH, Wood R, Stagg HR, et al. Impact of COVID-19 on accident and emergency attendances and emergency and planned hospital admissions in Scotland: an interrupted time-series analysis. J R Soc Med 2020;113(11):444– 53. doi: 10.1177/0141076820962447.
Reschen ME, Bowen J, Novak A, et al. Impact of the COVID-19 pandemic on emergency department attendances and acute medical admissions. BMC Emerg Med 2021;21(1):143. doi: 10.1186/s12873-021-00529-w.
Paoli A, Brischigliaro L, Scquizzato T, et al. Out-of-hospital cardiac arrest during the COVID-19 pandemic in the province of Padua, Northeast Italy. Resuscitation 2020;4(1):47–9. doi: 10.1016/j.resuscitation.2020.06.031.
Thuewan R, Prabpai S. Accidents experiences and safety behavior among emergency medical personnel with ambulance: qualitative research. JHNR 2021;37(1):142-55. (Accessed June 27, 2023, at https://he01.tci-thaijo.org/index. php/bcnbangkok/article/view/248863).
Thai Health Promotion Foundation. Accelerate the development of an emergency medical system. 2022. (Accessed June 27, 2023, at https://www.thaihealth.or.th/?p=236280).
Sittichanbuncha Y, Prachanukool T, Sarathep P, et al. An emergency medical service system in Thailand: providers’ perspectives. J Med Assoc Thai 2014;97(10):1016-21.
Khattak AZ, Qureshi MS. Relationship between job stress and job satisfaction among rescuers of rescue 1122 Khyber Pakhtunkhwa. JPAP 2020;1(1):3-9. doi: 10.52053/jpap.v1i1.1.
Tian S, Yang W, Grange JML, et al. Smart healthcare: making medical care more intelligent. Glob Health J 2019;3(3):62-5. doi: 10.1016/j.glohj.2019.07.001
Thuewan R, Prabpai R. Accidents experiences and safety behavior among emergency medical personnel with ambulance: qualitative research. J Health Nurs Resear 2020; 37(1), 142-155. (Accessed October, 15 2022, at https://he01. tci-thaijo.org/index.php/bcnbangkok/article/view/248863)
National Institute for Emergency Medicine. The 4th national emergency medical principle plan, B.E. 2566-2570, 2022. (Accessed June 27, 2023, at https://online.fliphtml5.com/ auukz/koew/#p=18).
Comrey AL, Lee HB. A first course in factor analysis, 2nd ed. Hillsdale, NJ, US: Lawrence Erlbaum Associates, Inc; 1992. xii, 430-xii, 125 doi:10.4324/9781315827506
Hair JF, Black WC, Babin BJ, et al. Multivariate data analysis: Pearson Prentice Hall; 2018
Kao K-Y, Spitzmueller C, Cigularov K, et al. Linking safety knowledge to safety behaviours: a moderated mediation of supervisor and worker safety attitudes. Eur J Work Org Psyc 2019;28(2):206-20. doi: 10.1080/1359432X.2019.1567492
Bevilacqua M, Ciarapica FE. Human factor risk management in the process industry: A case study. Relia Engin Syst Saf. 2018;169:149-59. doi:10.1016/j.ress.2017.08.013
Naqshbandi MM, Jasimuddin SM. Knowledge-oriented leadership and open innovation: role of knowledge management capability in France-based multinationals. Int Busi Rev 2018;27(3):701-13. doi: 10.1016/j.ibusrev.2017.12.001.
Huang Y-H, Yang T-R. Exploring on-site safety knowledge transfer in the construction industry. Sustainability 2019;11(22):6426. doi:10.3390/su11226426
Cooper AL, Huscroft JR, Overstreet RE, et al. Knowledge management for logistics service providers: the role of learning culture. Indus Manag Data Syst 2016;116(3):584- 602. doi:10.1108/IMDS-06-2015-0262
Lim MK, Tseng M-L, Tan KH, et al. Knowledge management in sustainable supply chain management: Improving perfor mance through an interpretive structural modelling approach. J Clean Produc 2017;162:806-16. doi:10.1016/j. jclepro.2017.06.056.
Kucharska W. Leadership, culture, intellectual capital and knowledge processes for organizational innovativeness across industries: the case of Poland. J Intel Cap 2021;22(7):121-41. doi: 10.1108/JIC-02-2021-0047
Alshahrani A, Stewart D, MacLure K. A systematic review of the adoption and acceptance of eHealth in Saudi Arabia: Views of multiple stakeholders. Int J Med Infor 2019;128:7-17. doi:10.1016/j.ijmedinf.2019.05.007
Philsoophian M, Akhavan P, Namvar M. The mediating role of blockchain technology in improvement of knowledge shar ing for supply chain management. Manag Deci 2022;60(3):784- 805. doi:10.1108/MD-08-2020-1122
Akhavan P, Philsoophian M, Rajabion L, et al. Developing a block-chained knowledge management model (BCKMM): beyond traditional knowledge management. Infor Syst Econ J 2018 (Accessed December 15, 2022, at https://papers.ssrn. com/sol3/papers.cfm?abstract_id=3253847) 27. Karnouskos S. The role of utilitarianism, self-safety, and technology in the acceptance of self-driving cars. Cogn Techno Work 2021;23(4):659-67. doi: 10.1007/s10111-020- 00649-6
Man SS, Alabdulkarim S, Chan AHS, et al. The acceptance of personal protective equipment among Hong Kong construction workers: An integration of technology acceptance model and theory of planned behavior with risk perception and safety climate. J Safe Resear2021;79:329- 40. doi:10.1108/ MD-08-2020-1122
Wishart D, Rowland B, Somoray K. Safety citizenship behavior: a complementary paradigm to improving safety culture within the organizational driving setting. In: Ward NJ, Watson B, Fleming-Vogl K, editors. Traffic Safety Culture: Emerald Publishing Limited; 2019:145-71. doi:10.1108/978-1-78714- 617-420191011
Fiorentino R, Grimaldi F, Lamboglia R, et al. How smart technologies can support sustainable business models: insights from an air navigation service provider. Manag Dec 2020;58:1715-36 doi: 10.1108/MD-09-2019-1327
Mikalef P, Pappas IO, Krogstie J, et al. Big data analytics capabilities: a systematic literature review and research agenda. Inf Syst Bus Manag 2018;16(3):547-78. doi: 10.1007/ s10257-017-0362-y
Lyu S, Hon CKH, Chan APC, et al. Relationships among safety climate, safety behavior, and asfety offer ethnic minority construction workers. Int J Envir l Resea a Pub Health 2018;15(3):484. doi: 10.3390/ijerph15030484
Bag S, Gupta S, Luo Z. Examining the role of logistics 4.0 enabled dynamic capabilities on firm performance. Int J Logis Manag 2020;31(3):607-28. doi: 10.1108/IJLM-11- 2019-031
Granlund A, Wiktorsson M. Automation in Healthcare Inter nal Logistics: A Case Study on Practice and Potential. Int J Innov Tech Manag 2013;10:1-20. doi: 10.1142/ S0219877013400129
Xie Y, Breen L, Cherrett TJ, et al. An exploratory study of reverse exchange systems used for medical devices in the UK National Health Service (NHS). Supp Chain Manag 2016;21:194-215. doi: 10.1108/SCM-07-2015-0278
Feibert DC, Jacobsen P. Factors impacting technology adoption in hospital bed logistics. Int J Logi Manag 2019;30(1):195-230. doi: 10.1108/IJLM-02-2017-0043.