پیوندهای مفید
آمار
| تعداد نشریات | 22 |
| تعداد شمارهها | 705 |
| تعداد مقالات | 10,146 |
| تعداد مشاهده مقاله | 71,450,492 |
| تعداد دریافت فایل اصل مقاله | 63,173,980 |
Supply chain management strategies for mobile value added services | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 30 آبان 1404 اصل مقاله (740.37 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2024.33585.5014 | ||
| نویسندگان | ||
| Mohammad Hossein Vaghefzadeh؛ Behrooz Karimi* ؛ Abbas Ahmadi | ||
| Faculty of Industrial Engineering and Management Systems, Department of Industrial Production Training, Amirkabir University of Technology, Tehran, Iran | ||
| تاریخ دریافت: 29 اسفند 1402، تاریخ بازنگری: 14 فروردین 1403، تاریخ پذیرش: 18 فروردین 1403 | ||
| چکیده | ||
| The aim of the current research was to provide strategies for the supply chain management of mobile phone value-added services. Therefore, in terms of the goal, this research was apart from developmental research and in terms of the method of collecting findings, it was apart from mixed (qualitative-quantitative) research. The data base method was used in the qualitative part, and the structural equation modeling method was used in the quantitative part. The statistical population in the qualitative section included university professors, managers and heads of the Ministry of Communications, and in the quantitative section included experts and managers of the Ministry of Communications. In the qualitative section, 15 people were selected as a sample using the purposeful snowball sampling method, and a semi-structured interview was conducted with them, and it went to the stage of theoretical saturation, and in the quantitative section, 280 people were selected by random sampling. The tool for collecting findings was a semi-structured interview in the qualitative part and a researcher-made questionnaire in the quantitative part. Validation of the research tool was calculated in the qualitative part with the criteria of Lincoln and Guba [13] and in the quantitative part with confirmatory factor analysis and Cronbach's alpha test. Data analysis was done in the qualitative part with Strauss and Corbin's three-step coding method [21] in the Maxqda software environment and in the quantitative part with structural equation modeling in the SmartPLS software. Based on the findings of the research in the qualitative part, 328 open codes, 26 core codes and 10 selective codes including agility and flexibility, customer orientation, innovation and creativity, risk management, cooperation with strategic suppliers, environmental and market analysis, use of information technology, Development of flexibility, development of sustainability and social and improvement of logistics processes were identified for the supply chain management strategies of mobile value added services. The findings of the quantitative section showed that all the identified components and strategies were able to predict the main structure well, and the fit rate of the model was calculated as 0.663. According to these findings, it is suggested that telecommunications and mobile phone companies use these identified strategies for supply chain management. | ||
| کلیدواژهها | ||
| supply chain management؛ value-added services؛ mobile phone؛ sustainable and social development | ||
| مراجع | ||
|
[1] R. Baggozi and Y. Yi, On the evaluation of structural equation models, J. Acad. Market. Sci. 16 (1998), no. 1, 74-94. [2] A. Bask, M. Halme, M. Kallio, and M. Kuula, Consumer preferences for sustainability and their impact on supply chain management: The case of mobile phones, Int. J. Phys. Distrib. Logistics Manag. 43 (2013), no. 5, 380-406. [3] S. S. Bhattacharyya and G. Sivanand, Mobile telephony network value added services, quest for capturing the value created most: Answers from the concept of value network, Synergy 9 (2011), no. 2. [4] A.J. Desmal and Z.M. Madan, Measuring the service quality of mobile smart devices: A framework for best practices, Quality Control and Quality Assurance-Techniques and Applications, 2024. [5] E. S. Hanandeh, L. Abualigah, R.A. Zitar, C.L. Thanh, S. Khatir, and A.H. Gandomi, Revolutionizing sustainable supply chain management: A review of metaheuristics, Engin. Appl. Artific. Intell. 126 (2023), no. 4, 106839. [6] C. Fornell and D.F. Larcker, Evaluating structural equation models with unobservable variables and measurement error, J. Market. Res. 18 (1981), no. 1, 39-50. [7] D. Gupta, R. Gupta, K. Jain, and K.S. Momaya, Innovations in mobile value-added services: Findings from cases in india, Int. J. Innov. Technol. Manag. 14 (2017), no. 6, 1750037. [8] J. Henseler, G. Hubona, and P.A. Ray, Using PLS path modeling in new technology research: Updated guidelines, Ind. Manag. Data Syst. 116 (2016), no. 1, 2-20. [9] J. Henseler, C. M. Ringle and R. R. Sinkovics, The use of partial least squares path modeling in international marketing, New Chall. Int. Market. 20 (2009), no. 4, 277-319. [10] Y. Khan, M.B.M. Su'ud, M.M. Alam, S.F. Ahmad, A.Y.B. Ahmad, and N. Khan, Application of Internet of Things (IoT) in sustainable supply chain management, Sustainability 15 (2023), no. 1, 694. [11] J.K. Kim and H. Chun, Strategies of Mobile Value-Added Services in Korea, IGI Global Publication, 2009. [12] R.B. Kline, Principles and Practice of Structural Equation Modeling, Guilford publications, 2023. [13] Y.S. Lincoln and E.G. Guba, Naturalistic Inquiry, Newbury Park, CA: Sage Publications, 1985. [14] H. Lu, G. Zhao, and S. Liu, Integrating circular economy and Industry 4.0 for sustainable supply chain management: a dynamic capability view, Prod. Plann. Control 35 (2024), no. 2, 170-186. [15] P.M. Madhani, Strategic supply chain management for enhancing competitive advantages: developing business value added framework, Int. J. Value Chain Manag. 10 (2019), no. 4, 316-338. [16] L. Meng, Using iot in supply chain risk management, to enable collaboration between business, community, and government, Smart Cities 4 (2021), no. 3, 995-1003. [17] L. Orlanyuk-Malitskaya, T. Plakhova, T. Sakulyeva and I. Glazkova, The impact of globalisation processes on supply chain management, Innov. Infrast. Sol. 9 (2024), no. 2, 35-69. [18] B.N. Pasi, S.K. Mahajan, and S.B. Rane, Smart supply chain management: A perspective of industry 4.0, Supply Chain Manag. 29 (2020), no. 5, 3016-3030. [19] D.S. Sharma and A.P. Sahu, A study on supply chain management using IoT, 11th Int. Conf. Emerg. Trends Engin. Technol.-Signal . Inf. Process., 2023, pp. 1-4. [20] M. Sigala, Mass customisation implementation models and customer value in mobile phones services: Preliminary findings from Greece, Manag. Serv. Qual.: Int. J. 16 (2006), no. 4, 395-420. [21] A. Strauss and J. Corbin, Basics of Qualitative Research: Grounded Theory Procedures and Techniques, Newbury Park, CA: Sage, 1990. [22] K.S. Taber, The use of Cronbach's alpha when developing and reporting research instruments in science education, Res. Sci. Educ. 48 (2018), no. 1, 1273-1296. [23] Y. Xing, Global value chains and the innovation of the Chinese mobile phone industry, Nat. Grad. Inst. Policy Stud. 12 (2020), no. 1, 95-109. [24] J. Xu and T. J. Yang, Telecom value-added service supply chain implanting advertising elements with two service providers, J. Interdiscipl. Math. 18 (2015), no. 3, 197-205. [25] Y. Ye, K. H. Lau, and L. Teo, Alignment of green supply chain strategies and operations from a product perspective, Int. J. Logistics Manag. 34 (2023), no. 6, 1566-1600. | ||
|
آمار تعداد مشاهده مقاله: 99 تعداد دریافت فایل اصل مقاله: 105 |
||