Competition and operating efficiency of manufacturing companies in E-commerce environment: empirical evidence from Chinese garment companies

References

• Ali, A.I., and L. M. Seiford. 1990. “Translation Invariance in Data Envelopment Analysis.” Operations Research Letters 9 (6): 403–405. doi:10.1016/0167-6377(90)90061-9.
   Web of Science ®Google Scholar
• Arshada, S., S. A. R. Rizvi, G. M. Ghani, and J. Duasa. 2016. “Investigating Stock Market Efficiency: A Look at OIC Member Countries.” Research in International Business and Finance 36: 402–413.
   Web of Science ®Google Scholar
• Avkiran, N. K., and H. Morita. 2010. “Predicting Japanese Bank Stock Performance with a Composite Relative Efficiency Metric: A New Investment Tool.” Pacific-Basin Finance Journal 18 (3): 254–271. doi:10.1016/j.pacfin.2010.01.002.
   Web of Science ®Google Scholar
• Banker, R. D., A. Charnes, and W. W. Cooper. 1984. “Some Models for Estimating Technological and Scale Inefficiencies in Data Envelopment Analysis.” Management Science 30 (9): 1078–1092.
   Web of Science ®Google Scholar
• Baršauskas, P., T. Šarapovas, and A. Cvilikas. 2008. “The Evaluation of E-Commerce Impact on Business Efficiency.” Baltic Journal of Management 3 (1): 71–91. doi:10.1108/17465260810844275.
   Web of Science ®Google Scholar
• Beck, T., A. D. Kunt, and R. Levine. 2006. “Bank Concentration, Competition, and Crises: First Results.” Journal of Banking & Finance 30 (5): 1581–1603. doi:10.1016/j.jbankfin.2005.05.010.
   Web of Science ®Google Scholar
• Bendoly, E., and F. Kaefer. 2004. “Business Technology Complementarities: Impacts of the Presence and Strategic Timing of ERP on B2B E-Commerce Technology Efficiencies.” Omega 32 (5): 395–405. doi:10.1016/j.omega.2004.02.004.
   Web of Science ®Google Scholar
• Berger, A. N., and T. H. Hannan. 1998. “The Efficiency Cost of Market Power in the Banking Industry: A Test of the ‘Quiet Life’ and Related Hypotheses.” The Review of Economics and Statistics 80 (3): 454–465.
   Web of Science ®Google Scholar
• Bonetti, F., and P. Perry 2017. “A Review of Consumer-Facing Digital Technologies Across Different Types of Fashion Store Formats.” In The Book of Advanced Fashion Technology and Operations Management, edited by A. Vecchi, 9781522518655: 137–163 (Chapter 6). Hershey: IGI Global.
   Google Scholar
• Burinskas, A., and A. Burinskiene. 2019. “Cash-Flow Model for Efficiency Evaluation in Multinational Trade Enterprises Applying E-Commerce.” Inzinerine Ekonomika-Engineering Economics 30 (5): 515–529.
   Web of Science ®Google Scholar
• Cassidy, T. D. 2017. “Conceptualizing Sustained High Quality Fashion Products in a Devalue Dominated Marketplace.” Fashion Practice 9 (2): 235–253. doi:10.1080/17569370.2016.1220136.
   Web of Science ®Google Scholar
• Charnes, A., W. W. Cooper, and E. Rhodes. 1978. “Measuring Efficiency of Decision Making Units.” European Journal of Operational Research 2 (6): 429–444.
   Web of Science ®Google Scholar
• Charoenrat, T., C. Harvie, and Y. Amornkitvikai. 2013. “Thai Manufacturing Small and Medium Sized Enterprise Technical Efficiency: Evidence from Firm-Level Industrial Census Data.” Journal of Asian Economics 27: 42–56. doi:10.1016/j.asieco.2013.04.011.
   Google Scholar
• Chen, N., and J. Yang. 2017. “Mechanism of Government Policies in Cross-Border E-Commerce on Firm Performance and Implications on M-Commerce.” International Journal of Mobile Communications 15 (1): 69.
   Web of Science ®Google Scholar
• Du, J., J. Wang, Y. Chen, S. Y. Chou, and J. Zhu. 2014. “Incorporating Health Outcomes in Pennsylvania Hospital Efficiency: An Additive Super-Efficiency DEA Approach.” Annals of Operations Research 221 (1): 161–172.
   Web of Science ®Google Scholar
• El-Aleem, A. K., W. F. El-Wahed, N. A. Ismail, and F. A. Torkey. 2007. ”Efficiency Evaluation of E-Commerce Websites.” World Academy of Science, Engineering and Technology 4: 20–23. [ online]. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.307.9984&rep=rep1&type=pdf.
   Google Scholar
• Engle, R. F., and C. W. J. Granger. 1987. “Co-Integration and Error Correction: Representation, Estimation, and Testing.” Econometrica 55 (2): 251–276. doi:10.2307/1913236.
   Web of Science ®Google Scholar
• Fang, H., J. J. Wu, and C. Zeng. 2009. “Comparative Study on Efficiency Performance of Listed Coal Mining Companies in China and the US.” Energy Policy 37 (12): 5140–5148. doi:10.1016/j.enpol.2009.07.027.
   Web of Science ®Google Scholar
• Fang, W. 2021. “Energy Efficiency Analysis of E-Commerce Customer Management System Based on Intelligent Network Communication.” International Journal of System Assurance Engineering and Management 1: 1–9.
   Google Scholar
• Gökmen, A. 2011. “Virtual Business Operations, E-Commerce & Its Significance and the Case of Turkey: Current Situation and Its Potential.” Electronic Commerce Research 12 (1): 31–51.
   Web of Science ®Google Scholar
• Gregory, G.D., Ngo, L.V., and Karavdic, M. 2019 “Developing e-commerce marketing capabilities and efficiencies for enhanced performance in business-to-business export ventures.” Industrial Marketing Management 78 146–157
   Web of Science ®Google Scholar
• Hariandi, M. S. I., T. A. Gumanti, and E. Wahyudi. 2019. “E-Commerce, Competitive Advantage and Business Performance of Banyuwangi Small and Medium-Sized Enterprises.” International Journal of Scientific & Technology Research 8 (8): 1216–1220.
   Google Scholar
• Hausman, J. A. 1978. “Speci?cation Tests in Econometrics.” Econometrica 46 (6): 1251–1271. doi:10.2307/1913827.
   Web of Science ®Google Scholar
• Heckman, J. J. 2001. “Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture.” The Journal of Political Economy 109 (4): 673–748. doi:10.1086/322086.
   Web of Science ®Google Scholar
• Hu, X., C. E. Ocloo, S. Akaba, and D. Worwui-Brown. 2019. “Effects of Business to Business E-Commerce Adoption on Competitive Advantage of Small and Medium-Sized Manufacturing Enterprises.” Economics and Sociology 12 (1): 80–99.
   Web of Science ®Google Scholar
• Huang, J., X. Jiang, and Q. Tang. 2009. “An E-Commerce Performance Assessment Model: Its Development and an Initial Test on E-Commerce Applications in the Retail Sector of China.” Information & Management 46 (2): 100–108. doi:10.1016/j.im.2008.12.003.
   Web of Science ®Google Scholar
• Hung, S. W., W. M. Lu, and T. P. Wang. 2010. “Benchmarking the Operating Efficiency of Asia Container Ports.” European Journal of Operational Research 203 (3): 706–713.
   Web of Science ®Google Scholar
• Hussain, A., M. Akbar, A. Shahzad, P. Poulova, A. Akbar, and R. Hassan. 2022. “E-Commerce and SME Performance: The Moderating Influence of Entrepreneurial Competencies.” Administrative Sciences 12 (1): 13. doi:10.3390/admsci12010013.
   Web of Science ®Google Scholar
• Jamasb, T., D. Newbery, and M. Pollitt 2005. “Core Indicators for Determinants and Performance of the Electricity Sector in Developing Countries.” World Bank Policy Research Working Paper 3599. [ online]. https://www.researchgate.net/publication/286623372.
   Google Scholar
• John, V. K., and N. Vikitset 2019. “Impact of B2C E-Commerce on Small Retailers in Thailand: An Investigation into Profitability, Operating Efficiency, and Employment Generation.” 1–18. [ online] https://ssrn.com/abstract=3309472
   Google Scholar
• Ju, S. M., and N. Liu. 2015. “Efficiency and Its Influencing Factors in Port Enterprises: Empirical Evidence from Chinese Port-Listed Companies.” Maritime Policy & Management 42 (6): 571–590.
   Web of Science ®Google Scholar
• Kasman, A., and C. Yildirim. 2006. “Cost and Profit Efficiencies in Transition Banking: The Case of New EU Members.” Applied Economics 38 (9): 1079–1090. doi:10.1080/00036840600639022.
   Web of Science ®Google Scholar
• Lee, C.-C. 2009. “Analysis of Overall Technical Efficiency, Pure Technical Efficiency and Scale Efficiency in the Medium-Sized Audit Firms.” Expert Systems with Applications 36 (8): 11156–11171. doi:10.1016/j.eswa.2009.02.092.
   Web of Science ®Google Scholar
• Lee, S. 2010. “Using Data Envelopment Analysis and Decision Trees for Efficiency Analysis and Recommendation of B2C Controls.” Decision Support Systems 49 (4): 486–497. doi:10.1016/j.dss.2010.06.002.
   Web of Science ®Google Scholar
• Leibenstein, H. 1966. “Allocative Efficiency versus X-Efficiency.” The American Economic Review 56 (3): 392–415.
   Web of Science ®Google Scholar
• Li, L., J. Lin, O. Turel, P. Liu, and X. Luo. 2020. “The Impact of E-Commerce Capabilities on Agricultural Firms’ Performance Gains: The Mediating Role of Organizational Agility.” Industrial Management & Data Systems 120 (7): 1265–1286. doi:10.1108/IMDS-08-2019-0421.
   Web of Science ®Google Scholar
• Liang, L., J. Wu, W. D. Cook, and J. Zhu. 2008. “The DEA Game Cross Efficiency Model and Its Nash Equilibrium.” Operations Research 56 (5): 1278–1288.
   Web of Science ®Google Scholar
• Liu, W., J. Zhang, S. Wei, and D. Wang. 2020. “Factors Influencing Organisational Efficiency in a Smart-Logistics Ecological Chain Under E-Commerce Platform Leadership.” International Journal of Logistics Research and Applications 24 (4): 364–391.
   Web of Science ®Google Scholar
• Lu, W. M., K. C. Kuo, and T. H. Tran. 2022. “Impacts of Positive and Negative Corporate Social Responsibility on Multinational Enterprises in the Global Retail Industry: DEA Game Cross-Efficiency Approach.” The Journal of the Operational Research Society 1: 1–16.
   Web of Science ®Google Scholar
• Luo, Y., and X. Gui. 2022. “Logistics Efficiency Evaluation Model of Small and Medium Sized Cross Border E-Commerce Enterprises.” In Innovative Computing. Lecture Notes in Electrical Engineering, edited by J. C. Hung, J. Chang, Y. Pei, W. Wu, 791. Singapore: Springer.
   Google Scholar
• Maddala, G. S., and S. Wu. 1999. “A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test.” Oxford Bulletin of Economics and Statistics 61 (S1): 631–652. doi:10.1111/1468-0084.0610s1631.
   Google Scholar
• Maudos, J., and J. F. De Guevara. 2007. “The Cost of Market Power in Banking: Social Welfare Loss Vs. Cost Inefficiency.” Journal of Banking & Finance 31 (7): 2103–2125. doi:10.1016/j.jbankfin.2006.10.028.
   Web of Science ®Google Scholar
• Mutuku, M. K., S. Muathe, and R. James. 2019. “Mediating Effect of Competitive Advantage on the Relationship Between E-Commerce Capability and Performance: Empirical Evidence from Commercial Banks in Kenya.” European Journal of Business and Management 11 (17): 48–57.
   Google Scholar
• Okunade, A. A., and M. C. Karakus. 2001. “Unit Root and Cointegration Tests: Time Series versus Panel Estimates for International Health Expenditure Models.” Applied Economics 33 (9): 1131–1137.
   Web of Science ®Google Scholar
• Pastor, J. T. 1996. “Translation Invariance in Data Envelopment Analysis: A Generalization.” Annals of Operations Research 66 (2): 93–102.
   Google Scholar
• Pedroni, P. 1999. “Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors.” Oxford Bulletin of Economics and Statistics 61 (S1): 653–670. doi:10.1111/1468-0084.61.s1.14.
   Google Scholar
• Peng, B., and C. He. 2021. “Does ‘Internet+sales’ Business Model Help Managers Improve Earnings Forecast Quality? – Based on the Data of E-Commerce Platforms.” China Journal of Accounting Studies 9 (2): 268–288. doi:10.1080/21697213.2021.1992937.
   Google Scholar
• Pratama, S. 2017. “Measuring Financial Performance of PT. Pos Indonesia During the E-Commerce Booming.” International Journal of Business Studies 1 (1): 32–40. doi:10.32924/ijbs.v1i1.12.
   Google Scholar
• Ramanathan, R. 2010. “The Moderating Roles of Risk and Efficiency on the Relationship Between Logistics Performance and Customer Loyalty in E-Commerce.” Transportation Research Part E 46 (6): 950–962.
   Google Scholar
• Romero, C. Q., and D. R. Rodríguez. 2010. “E-Commerce and Efficiency at the Firm Level.” International Journal of Production Economics 126 (2): 299–305. doi:10.1016/j.ijpe.2010.04.004.
   Web of Science ®Google Scholar
• Rothaermel, F. T., and C. W. L. Hill. 2005. “Technological Discontinuities and Complementary Assets: A Longitudinal Study of Industry and Firm Performance.” Organization Science 16 (1): 52–70.
   Web of Science ®Google Scholar
• Runyan, B., K. T. Smith, and L. M. Smith. 2008. “Implications of Web Assurance Services on E-Commerce.” Accounting Forum 32 (1): 46–61. doi:10.1016/j.accfor.2007.10.002.
   Google Scholar
• Sathye, M. 2001. “X-Efficiency in Australian Banking: An Empirical Investigation.” Journal of Banking & Finance 25 (3): 613–630. doi:10.1016/S0378-4266(00)00156-4.
   Web of Science ®Google Scholar
• Sexton, T. R., R. H. Silkman, and A. J. Hogan. 1986. “Data Envelopment Analysis: Critique and Extensions.” New Directions for Program Evaluation 1986 (32): 73–105. doi:10.1002/ev.1441.
   Google Scholar
• Shahzad, A., H. K. Chin, M. Altaf, and F. A. Bajwa. 2020. “Malaysian Smes Performance and the Use of E-Commerce: A Multi-Group Analysis of Click-And-Mortar and Pure-Play E-Retailers.” Pakistan Journal of Commerce and Social Sciences 14 (1): 1–33.
   Google Scholar
• Song, P., C. Zheng, C. Zhang, and X. Yu. 2018. “Data Analytics and Firm Performance: An Empirical Study in an Online B2C Platform.” Information & Management 55 (5): 633–642. doi:10.1016/j.im.2018.01.004.
   Web of Science ®Google Scholar
• Su, W., Y. Wang, L. Qian, S. Zeng, T. Baležentis, and D. Streimikiene. 2019. “Creating a Sustainable Policy Framework for Cross-Border E-Commerce in China.” Sustainability 11 (4): 943. doi:10.3390/su11040943.
   Web of Science ®Google Scholar
• Vaithianathan, S. 2010. “A Review of E-Commerce Literature on India and Research Agenda for the Future.” Electronic Commerce Research 10 (1): 83–97.
   Web of Science ®Google Scholar
• Vaninsky, A. 2006. “Efficiency of Electric Power Generation in the United States: Analysis and Forecast Based on Data Envelopment Analysis.” Energy Economics 28 (3): 326–338. doi:10.1016/j.eneco.2006.02.007.
   Web of Science ®Google Scholar
• Wan, X., and J. Chen. 2019. “The Relationship Between Platform Choice and Supplier’s Efficiency- Evidence from China’s Online to Offline (O2o)e-Commerce Platforms.” Electron Markets 29 (2): 153–166. doi:10.1007/s12525-017-0280-3.
   Web of Science ®Google Scholar
• Wang, Y. M., and K. S. Chin. 2010. “Some Alternative Models for DEA Cross-Efficiency Evaluation.” International Journal of Production Economics 128 (1): 332–338.
   Web of Science ®Google Scholar
• Wang, C. N., T. T. Dang, N. A. T. Nguyen, and T. T. H. Le. 2020. “Supporting Better Decision-Making: A Combined Grey Model and Data Envelopment Analysis for Efficiency Evaluation in E-Commerce Marketplaces.” Sustainability 12 (24): 10385.
   Web of Science ®Google Scholar
• Wang, M., Y. Huang, and D. Li. 2021. “Assessing the Performance of Industrial Water Resource Utilization Systems in China Based on a Two-Stage DEA Approach with Game Cross Efficiency.” Journal of Cleaner Production 312 (1): 127722. doi:10.1016/j.jclepro.2021.127722.
   Web of Science ®Google Scholar
• Wen, H. J., B. Lim, and H. L. Huang. 2003. “Measuring E-Commerce Efficiency: A Data Envelopment Analysis (DEA) Approach.” Industrial Management & Data Systems 103 (9): 73–710. doi:10.1108/02635570310506124.
   Web of Science ®Google Scholar
• Wen, Y., L. X. Kong, and G. X. Liu. 2021. “Big Data Analysis of E-Commerce Efficiency and Its Influencing Factors of Agricultural Products in China.” Mobile Information Systems 2021: 1–8.
   Web of Science ®Google Scholar
• Wu, J. W., Y. H. Wei, Q. Z. Li, and Y. Feng. 2018. “Economic Transition and Changing Location of Manufacturing Industry in China: A Study of the Yangtze River Delta.” Sustainability 10 (8): 2624.
   Web of Science ®Google Scholar
• Xiao, K. H. 2009. “An Empirical Study of E-Commerce Trust Promotion Strategies Efficiency Based on Chinese Samples.” International Asia Symposium on Intelligent Interaction and Affective Computing, Wuhan, China, 124–127. [ online]. https://ieeexplore.ieee.org/abstract/document/5376042.
   Google Scholar
• Yang Zh, F., Y. Shi, and H. Yan. 2016. “Scale, Congestion, Efficiency and Effectiveness in E-Commerce Firms.” Electronic Commerce Research and Applications 20: 171–182.
   Web of Science ®Google Scholar
• Yu, Y., B. Huo, and Z. Zhang. 2021. “Impact of Information Technology on Supply Chain Integration and Company Performance: Evidence from Cross-Border E-Commerce Companies in China.” Journal of Enterprise Information Management 34 (1): 460–489. doi:10.1108/JEIM-03-2020-0101.
   Web of Science ®Google Scholar
• Zheng, S. F., R. Khan, and L. Vasa. 2021. “Performance Evaluation of E-Commerce Firms in China: Using Three-Stage Data Envelopment Analysis and the Malmquist Productivity Index.” PLoS ONE 16 (8): e0255851. doi:10.1371/journal.pone.0255851.
   PubMed Web of Science ®Google Scholar