Factors Affecting Routes Consumers’ Contentment
A Case of Corridor 3 and Corridor 4
Keywords:Routes Consumers’ Contentment, Corridor 3, Corridor 4, Contentment Level
The purpose of this study is to assess and recognize the vital factors affecting routes consumers’ contentment level. The main emphasis of this learning is to inspect those causes which completely or undesirably affect the contentment level of all routes consumers on C 3 and C 4 and which ultimately affect the occurrence of using these substructures. It is supposed that well prepared and competent routes substructure extremely donates to the provincial incorporation and raises contentment level of routes consumers. The routes are established and its standard is set by possession in mind the necessity of the routes consumers’. Therefore, the survey are established and divided into two main units, first one include respondent outlines whereas second one measures the level of contentment towards each pointers. Later in this study, quantifiable method is carried out in which data is composed from 400 contributors casually and numerous arithmetical methods are suggested to extract the factors affecting routes consumers’ contentment, which shows that the independent variable contributes to the dependent variable. This study shows that there are numerous aspects that affect the routes consumers’ contentment but routes way situations are the commendation to the consultants, which ultimately help them to improve their service aptitude level on C 3 and C4 and help them to respond to the need of routes consumers consequently. At the end, proposal and endorsements are also deliberated.
Bates, O. E. G., Friday, A. J., Allen, J., Cherrett, T., McLeod, F., Bektas, T., ... and Davies, N. A. J. (2018). Transforming Last-mile Logistics: Opportunities for more Sustainable Parcel Deliveries.
Converse, J. M. (2017). Survey research in the United States: Roots and emergence 1890-1960. Routledge.
Fallon, M. (2016). Writing up quantitative research in the social and behavioral sciences. Brill Sense.
Harrington, T. S., Singh Srai, J., Kumar, M., and Wohlrab, J. (2016). Identifying design criteria for urban system ‘last-mile’solutions–a multi-stakeholder perspective. Production Planning and Control, 27(6), 456-476.
Hu, B., Kong, Y., Sun, M., Dong, X., and Zong, G. (2018). Understanding the unbalance of interest in taxi market based on drivers' service profit margins. PloS one, 13(6), e0198491.
Huckle, S., Bhattacharya, R., White, M., and Beloff, N. (2016). Internet of things, blockchain and shared economy applications. Procedia computer science, 98, 461-466.
Joo, J. H. (2017). Motives for Participating in Sharing Economy: Intentions to Use Car Sharing Services. J. Distrib. Sci, 15, 21-26.
Kim, H. J., Kim, J., Yang, W., Lee, K. Y., and Kwon, O. S. (2016). Effects of Truck-shared Delivery: A Case of a Korean Mixed Feed Company. Journal of International Logistics and Trade, 14(2), 165-173.
Kreeger, J. C., and Smith, S. (2017). Amateur innkeepers utilization of minimum length stay restrictions. International Journal of Contemporary Hospitality Management, 29(9), 2483-2496.
Li, X., Yang, Z., and Zhou, S. (2018, September). Research on Legal Risk Prevention and Control Mechanism of Personal Data in China’s Shared Economy Model. In 2018 4th International Conference on Social Science and Higher Education (ICSSHE 2018). Atlantis Press.
Lim, S. F. W., and Winkenbach, M. (2019). Configuring the Last-Mile in Business-to-Consumer E-Retailing. California Management Review, 61(2), 132-154.
Lim, S. F. W., Jin, X., and Srai, J. S. (2018). Consumer-driven e-commerce: A literature review, design framework, and research agenda on last-mile logistics models. International Journal of Physical Distribution and Logistics Management, 48(3), 308-332.
Malik, F., and Wahaj, Z. (2019, May). Sharing Economy Digital Platforms and Social Inclusion/Exclusion: A Research Study of Uber and Careem in Pakistan. In International Conference on Social Implications of Computers in Developing Countries (pp. 248-259). Springer, Cham.
Pearson, J. A., and Geronimus, A. T. (2018). A Practical Guide to Biological Primary Data Collection in an Impoverished Urban Setting: Illuminating Structural and Social Influences on Population Health Inequity. SAGE Publications Ltd.
Sarwar, S., Khan, F., & Manzoor, S. (2019, March). Gender Oriented Performance of Language Learners: Examining the Case of Business Schools in Karachi. In Proceedings of INTED2019 Conference 11th-13th March.
Su, R., and Fang, Z. (2019). A review of studies in taxi mobility and e-hailing taxi service. Journal of Smart Cities, 4(1).
Sutherland, W., and Jarrahi, M. H. (2018). The sharing economy and digital platforms: A review and research agenda. International Journal of Information Management, 43, 328-341.
Vakulenko, Y., Shams, P., Hellström, D., and Hjort, K. (2019). Service innovation in e-commerce last mile delivery: Mapping the e-customer journey. Journal of Business Research, 101, 461-468.
Van den Heuvel, F., Van Donselaar, K., De Langen, P., and Fransoo, J. (2016). Co‐Location Synergies: Specialised Versus Diverse Logistics Concentration Areas. Tijdschrift voor economische en sociale geografie, 107(3), 331-346.
Wang, X., Yuen, K. F., Wong, Y. D., and Teo, C. C. (2019). Consumer participation in last-mile logistics service: an investigation on cognitions and affects. International Journal of Physical Distribution and Logistics Management, 49(2), 217-238.
Woiceshyn, J., and Daellenbach, U. (2018). Evaluating inductive vs deductive research in management studies: Implications for authors, editors, and reviewers. Qualitative Research in Organizations and Management: An International Journal, 13(2), 183-195.
Zhang, T. C., Gu, H., and Jahromi, M. F. (2019). What makes the sharing economy successful? An empirical examination of competitive customer value propositions. Computers in Human Behavior, 95, 275-283.
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