Smart sustainability ranking system within local budgeting
-
Author(s)Pankaj SrivastavaLink to ORCID Index: https://orcid.org/0000-0003-2437-4827
,
Saurabh SrivastavLink to ORCID Index: https://orcid.org/0000-0002-9185-6538
,
Tetiana ZhyberLink to ORCID Index: https://orcid.org/0000-0002-4557-023XResearcherID: http://www.researcherid.com/rid/O-2790-2016
,
Denys HryzohlazovLink to ORCID Index: https://orcid.org/0000-0001-7062-5442
-
DOIhttp://dx.doi.org/10.21511/ed.19(4).2020.03
-
Article InfoVolume 19 2020, Issue #4, pp. 24-34
- Cited by
- 436 Views
-
166 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
The study focuses on the need to update tools for making local governance decisions using modern information technology in an environment of unpredictability added by the pandemic. Policy formulation by the authorities, especially local governments, is faced with the demand for sustainable development due to the obstacles and risks that have arisen. The purpose of the paper was to create a model for an intelligent information system to rank input qualitative information as an object in accordance with sustainability criteria for determining the local government’s policy on budgetary support for entrepreneurial activity. Fuzzy informatics methods used in soft computing based on fuzzy logic improve estimation potential. The activity in сommunity-based tourism (CBT) was chosen as a basis for simulating the “Intelligent Ranking System” for local budgeting. In the paper, the system ranks four factors of sustainability according to the importance of local government activity by nine criteria, whose fuzzy values are calculated based on expert judgments within the framework of six linguistic variations. Simulation of future directions of budgeting was developed using unified answers from the example of India for applying in local tourism. The basis of the system matrix is formed through the subsequent analysis of deviations from the limiting variations of the maximum positive and maximum negative impressions of experts. The model of this ranking system will be useful for service-oriented activities where consumer impressions are an important development requirement.
- Keywords
-
JEL Classification (Paper profile tab)C60, H11, H61, R51
-
References19
-
Tables12
-
Figures0
-
- Table 1. Fuzzified scale for pairwise comparison
- Table 2. Ratings by First Expert Group Opinion
- Table 3. Ratings by Second Expert Group Opinion
- Table 4. Pairwise comparison table for the main criteria
- Table 5. Evaluation of Normalized weights
- Table 6. Normalized weights of each alternative corresponding to each criterion
- Table 7. Fuzzy weights of each criteria
- Table 8. Normalized weights of each alternative corresponding to each criterion
- Table 9. FPIS and FNIS of each criteria
- Table 10. Final output obtained by Fuzzy TOPSIS using Ebadi et al. (2013) method
- Table 11. Final output obtained by Fuzzy TOPSIS using Hamming Distance
- Table 12. Fuzzy TOPSIS results of the simulation
-
- Beekaroo, D., Callychurn, D., & Hurreeram, D. (2019). Developing a sustainability index for Mauritian manufacturing companies
- Butnariu, A., & Avasilcai, S. (2015). The assessment of the companies’ sustainable development performance. Procedia Economics and Finance, 23, 1233-1238.
- Chakraborty, D., & Guha, D. (2010). A theoretical development of distance measure for intuitionistic fuzzy numbers. International Journal of Mathematics and Mathematical Sciences, 1-25
- Chen, Ch.-T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114(1), 1-9.
- Chohan, U., & Jacobs, K. (2018). Public value as rhetoric: a budgeting approach. International Journal of Public Administration, 41(15), 1217-1227.
- Cifuentes-Silva, F., Fernández-Álvarez, D., & Labra-Gayo, J. (2020). National Budget as Linked Open Data: New Tools for Supporting the Sustainability of Public Finances. Sustainability, 12(11), 4551.
- Ebadi, M., Suleiman, M., & Ismail, F. et al. (2013). A New Distance Measure for Trapezoidal Fuzzy Numbers. Mathematical Problems in Engineering, 1-4.
- Giampiccoli, A., Mtapuri, O., & Nauright, J. (2020). Tourism development in the Seychelles: a proposal for a unique community-based tourism alternative. Journal of Tourism and Cultural Change.
- Han, H., Eom, T., Al-Ansi, A., Ryu, H., & Kim, W. (2019). Community-Based Tourism as a Sustainable Direction in Destination Development: An Empirical Examination of Visitor Behaviors. Sustainability, 11(10), 2864.
- Heald, D., & Hodges, R. (2020). The accounting, budgeting and fiscal impact of COVID-19 on the United Kingdom. Journal of Public Budgeting, Accounting and Financial Management, 32(5), 785-795.
- Innes, J., & Booher, D. (2010). Planning with complexity: An introduction to collaborative rationality for public policy (246 p). London: Routledge.
- Khan, A. (2019). Fundamentals of Public Budgeting and Finance (438 p.). London: Springer Nature.
- Klir, G., & Yuan, Bo. (2015). Fuzzy sets and fuzzy logic: theory and applications. London: Pearson.
- Lee, K., & Saen, R. (2012). Measuring corporate sustainability management: A data envelopment analysis approach. International Journal of Production Economics, 140(1), 219-226.
- Shrivastava, P., & Berger, S. (2010). Sustainability principles: A review and directions. Organization Management Journal, 7(4), 246-261.
- Srivastava, P., & Srivastav, S. (2020). Soft computing market research analytics on recommendation for tourists destinations in Varanasi-India. International Journal Of Advanced Science And Technology, 29(4s), 791-807.
- Srivastava, S. (2020). Being Vocal for Local Brands: A New Mantra of Success for Indian FMCG Companies. National Multidisciplinary E-Conference on Opportunities and Challenges for Indian Business: Self Reliance and Development through Vocal for Local to Global approach – 2020.
- Verawati, H. (2020). The Balanced Scorecard Design Proposal as an Approach in Performance-Based Budgeting at the Cabinet Secretariat of the Republic of Indonesia. 3rd International Conference on Research in Business, Management and Economics (27-29 November).
- Zadeh, L. (1965). Fuzzy sets. Information and Control, 8(3), 338-353.
-
Methodological support for estimating the level of internal communications efficiency at an enterprise
Hanna Demchenko
doi: http://dx.doi.org/10.21511/dm.17(2).2019.05
Systematic analysis of the level of communication efficiency at an enterprise ensures its increased performance. Thus, it helps to establish long-term partnership relations with contact audiences and to form consumer loyalty in the external environment. As for the internal environment of an enterprise, the analysis of communication processes can reveal the “unformalized” relations between management and subordinates, determine the degree of autonomy of the individual units, evaluate the effectiveness of the feedback between the components of the management structure. It thus helps to establish effective communication processes within the enterprise. Therefore, assessing the effectiveness of communication processes at an enterprise is of particular significance. In view of this, the purpose of the article is to develop a methodological support for estimating the level of internal communications efficiency at the enterprise. The system of indicators for the internal communications assessment has been proposed, which includes quantitative and qualitative indicators and makes it possible to comprehensively assess the state and the level of internal communications efficiency. In order to assess the level of internal communications effectiveness, the methodological approach is proposed, which is based on the use of expert methods, taking into account logical rules for constructing functions of each element attribute and the process of internal communications. This methodological approach may be used at the industrial enterprises in order to determine the level of internal communications efficiency at the operating departments or at the enterprise as a whole.
