МЕРЫ ПО ОЦЕНКЕ ЭФФЕКТИВНОСТИ РАБОТЫ АДМИНИСТРАЦИИ СЕЛЬСКОГО ХОЗЯЙСТВА: ИССЛЕДОВАНИЕ ПЕРЕКРЕСТНОЙ ПРОВЕРКИ НА ОСНОВЕ SEM
Аннотация
This study develops the performance measures for the village administration, the lowest tier of government in Indonesia's government hierarchy. Data was collected through the survey, and two hundred nineteen useful questionnaires were analyzed. The exploratory factor analysis (EFA) was conducted using SPSS. The results of EFA were then validated using confirmatory factor analysis by applying the SEM-PLS. Based on the literature review, we identified twenty-six performance measures. The result reveals four factors of village administration performance, i.e., society, learning and growth, internal monitoring mechanism, and external monitoring mechanism. This study has several limitations, particularly the limited sample and village administration in only one city. Future studies could use more samples and widen the number of villages by combining villages of several towns or regencies. Practically, this finding contributes to the village administration so that this performance measure can be implemented to measure its performance. These performance measures are balanced measures among village society, village administration personnel, village administration human resources, and internal and external monitoring agencies. This study also has social implications in that the village community can assess the village administration's performance as the performance measures have a societal dimension. This is the first study developing performance measure for village administration. However, previous studies failed to pay attention to performance measurement development for village administration, the lowest tier of government in Indonesia.
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Литература
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2. Antlöv, H. (2003) ‘Village government and rural development in Indonesia: the new democratic framework’, Bulletin of Indonesian Economic Studies, 39(2), pp. 193–214. DOI: 10.1080/00074910302013.
3. Antlöv, H., Wetterberg, A. and Dharmawan, L. (2016) ‘Village governance, community life, and the 2014 village law in Indonesia’, Bulletin of Indonesian Economic Studies, 52(2), pp. 161–183. DOI: 10.1080/00074918.2015.1129047.
4. Arifin, B. et al. (2020) ‘Village fund, village-owned-enterprises, and employment : Evidence from Indonesia’, Journal of Rural Studies, 79, pp. 382–394. DOI: 10.1016/j.jrurstud.2020.08.052.
5. Bagozzi, R. R. and Yi, Y. (1988) ‘On the Evaluation of Structural Equation Models’, Journal of the Academy of Marketing Science, 16(1), pp. 74–94.
6. Beavers, A. S. et al. (2013) ‘Practical Considerations for Using Exploratory Factor Analysis in Educational Research’, Practical Assessment, Research, and Evaluation, 18(6), pp. 1–13.
7. Bitner, M.J. (1992) ‘Servicescapes: The impact of physical surroundings on customers and employees’, Journal of Marketing, 56(2), pp. 57–71. DOI: 10.1177/002224299205600205.
8. Bobe, B.J., Mihret, D.G. and Obo, D.D. (2017) 'Public-sector reforms and balanced scorecard adoption: an Ethiopian case study', Accounting, Auditing and Accountability Journal. DOI: 10.1108/AAAJ-03-2016-2484.
9. Cavalluzzo, K.S. and Ittner, C.D. (2004) ‘Implementing performance measurement innovations : evidence from government’, Accounting, Organizations and Society, 29, pp. 243–267. DOI: 10.1016/S0361-3682(03)00013-8.
10. Chin, W.W. (1998) ‘The partial least squares approach to structural equation modeling', in: G.A. Marcoulides (Ed.) Modern methods for business research. London: Lawrence Erlbaum Associates, pp. 295–236.
11. Conaty, F.J. (2012) ‘Performance management challenges in hybrid NPO / public sector settings: An Irish case’, International Journal of Productivity and Performance Management, 61(3), pp. 290–309. DOI: 10.1108/17410401211205650.
12. Costello, A.B.б and Osborne, J.W. (2005) ‘Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis’, Practical Assessment, Research & Evaluation, 10(7), pp. 1–9.
13. Dimitropoulos, P., Kosmas, I., and Loannis, D. (2017) ‘Implementing the balanced scorecard in a local government sport organization: Evidence from Greece Panagiotis Dimitropoulos Ioannis Kosmas Ioannis Douvis’, International Journal of Productivity and Performance Management, 66(3), pp. 362–379.
14. Distefano, C., and Hess, B. (2014) ‘Using confirmatory factor analysis for construct validation: An empirical review’, Journal of Psychoeducational Assessment, 23(3), pp. 225–241. DOI: 10.1177/073428290502300303.
15. Ellingson, D.A., and Wambsganss, J.R. (2001) ‘Modifying the approach to planning and evaluation in governmental entities: “A balanced scorecard” approach’, J. Public Budg. Account. Financ. Manag., 13(1), pp. 103–120.
16. Fatima, T., and Elbanna, S. (2020) ‘Balanced scorecard in the hospitality and tourism industry: Past, present and future’, International Journal of Hospitality Management, 91, p. 102656. DOI: 10.1016/j.ijhm.2020.102656.
17. Fornell, C., and Larcker, D.F. (1981) ‘Structural equation models with unobservable variables and measurement error: Algebra and statistics’, Journal of Marketing Research, 18(3), p. 382. DOI: 10.2307/3150980.
18. Gumbus, A., and Lyons, B. (2002) ‘The balanced scorecard at Philips Electronics’, Strategic Finance, 84(5), pp. 45–49.
19. Hair, J. F. et al. (2014) Multivariate Data Analysis. 7th Edition. Harlow: Pearson Education Limited.
20. Hair, J.F. et al. (2017) A primer on partial least squares structural equation modeling (PLS-SEM). Los Angeles: SAGE Publication. DOI: 10.1017/CBO9781107415324.004.
21. Hamied, M.S.A., and Elbagoury, A. (2022) ‘Balanced scorecards: proposed framework for application at the local system level insights from international experiences’, Review of Economics and Political Science, Vol. ahead (Vol. ahead-of-print). DOI: 10.1108/reps-08-2020-0109.
22. Henseler, J. (2010) ‘On the convergence of the partial least squares path modeling algorithm’, Computational Statistics, 25(1), pp. 107–120. DOI: 10.1007/s00180-009-0164-x.
23. Henseler, J., Ringle, C.M., and Sarstedt, M. (2015) ‘A new criterion for assessing discriminant validity in variance-based structural equation modeling’, J. of the Acad. Mark. Sci., 43, pp. 115–135. DOI: 10.1007/s11747-014-0403-8.
24. Hood, C. (1991) ‘A publıc management for all seasons’, Public Administration, 69(1), pp. 3–19.
25. Hoque, Z. (2014) ‘20 years of studies on the balanced scorecard: Trends, accomplishments, gaps and opportunities for future research’, British Accounting Review, 46(1), pp. 33–59. DOI: 10.1016/j.bar.2013.10.003.
26. Hoque, Z., and James, W. (2000) ‘Linking balanced scorecard measures to size and market factors : Impact on organizational performance’, Journal of Management Accounting Research, 12(1), pp. 1–17.
27. Hulland, J. (1999) ‘Use of partial least square (PLS) in strategic management research: a review of four recent studies’, Strategic Management Journal, 20, pp. 195–204.
28. Indriasari, D. et al. (2020) ‘Determinants of village financial management accountability’, in Advances in Social Science, Education and Humanities Researchm volume, FIRST 2019, pp. 182–188. DOI: 10.2991/assehr.k.200407.032.
29. Kaplan, R.S., and Norton, D.P. (1992) ‘The balanced scorecard — Measures that drive performance’, Harvard Business Review, January-February, pp. 71–79.
30. Kaplan, R.S., and Norton, D.P. (2004) Strategy maps: Converting Intangible assets into tangible outcomes. Boston, MA: Harvard Business School Press.
31. Kaplan, Robert S., and Norton, D.P. (2004) ‘The strategy map: guide to aligning intangible assets’, Strategy & Leadership, 32(5), pp. 10–17.
32. Keyes, J. (2005) Aligning IT with coporate strategy-implementing the IT balanced scorecard. Auerbach Publications, Taylor & Francis Group.
33. Kotler, P., and Keller, K. (2009) Marketing Management: International Version. 13th edn. New Jersey: Pearson Education.
34. Libby, T., Salterio, S.E. and Webb, A. (2004) ‘The balanced scorecard: the effects of assurance and process accountability on managerial judgment’, IThe Accounting Review, 79(4), pp. 1075–1094.
35. LOGOTRI (2003) Performance measurement and management in Asian-Pacific local government, a discussion paper and investigation into future directions, centre for local government at the University of Technology, Sydney, Australia, 23 September. Sydney, Australia.
36. Lukiastuti, F., Iskanto, I., and Djou, L.G. (2022) ‘The mediation role of the village fund management system on the relationship between HR advantages, utilization of IT, and Village Government performance’, Jurnal Bina Praja, 14(2), pp. 349–359. DOI: 10.21787/jbp.14.2022.349-359.
37. Mahmudi (2007) Manajemen Kinerja Sektor Publik. Yogyakarta: UPP STIM YKPN.
38. Maiga, A.S. and Jacobs, F.A. (2003) ‘Balanced scorecard , activity-based costing and company performance: An empirical analysis’, Journal of Managerial Issues, 15(3), pp. 283–301.
39. Maiga, A.S., Nilsson, A. and Jacobs, F.A. (2014) ‘Assessing the interaction effect of cost control systems and information technology integration on manufacturing plant financial performance’, British Accounting Review, 46(1), pp. 77–90. DOI: 10.1016/j.bar.2013.10.001.
40. Maimun et al. (2023) ‘Activating and organizing village economic potential through continuously strengthening BUMDES: A community service’, in: International conference of community services, pp. 400–407. DOI: 10.18196/iccs.v1i1.82.
41. Mardiasmo (2009) Akuntansi sektor publik. Yogyakarta. Yogyakarta: Andi Yogyakarta.
42. Mulaik, S.A. (2009) Foundations of factor analysis. New York, NY: Chapman & Hall.
43. Neely, A., Gregory, M., and Platts, K. (1995) ‘Performance measurement system design: A literature review and research agenda’, International Journal of Operations & Production Management, 15(4), pp. 80–116.
44. Nurlinah, Haryanto and Sunardi (2020) ‘New development , old migration , and governance at two villages in Jeneponto, Indonesia’, World Development Perspectives, 19, p. 100223. DOI: 10.1016/j.wdp.2020.100223.
45. Parasuman, A., Zeithaml, V., and Berry, L. (1988) ‘A multiple item scale for measuring consumer perceptions of service quality’, Journal of Retailing, 64(1), pp. 12–37. DOI: 10.1016/S0148-2963(99)00084-3.
46. Perkins, M., Grey, A., and Remmers, H. (2014) ‘What do we really mean by “Balanced Scorecard”?’, International Journal of Productivity and Performance Management, 63(2), pp. 148–169.
47. Pett, M., Lackey, N., and Sullivan, J. (2003) Making sense of factor analysis. Thousand Oaks, CA: Sage Publications, Inc.
48. Pratolo, S., and Jatmiko, B. (2020) ‘IT-based financial management and governance training role toward village government employee understanding on financial management’, e-Jurnal Akuntansi, 30(4), pp. 851–860.
49. Rompho, N. (2020) ‘The balanced scorecard for school management: case study of Thai public schools’, Measuring Business Excellence, 24(3), pp. 285–300. DOI: 10.1108/MBE-02-2019-0012.
50. Sofyani, H. et al. (2020) ‘The role of budgetary participation and environmental uncertainty in influencing managerial performance of village government’, Journal of Accounting and Investment, 21(2), pp. 258–276. DOI: 10.18196/jai.2102148.
51. Solano, J. et al. (2013) ‘Integration of systemic quality and the balanced scorecard’, Information System Management, 20(1), pp. 64–79.
52. Speklé, R.F., and Verbeeten, F.H.M. (2014) ‘The use of performance measurement systems in the public sector: Effects on performance’, Management Accounting Research, 25(2), pp. 131–146. DOI: 10.1016/j.mar.2013.07.004.
53. Susan, N., and Budirahayu, T. (2018) ‘Village government capacity in the implementation of Village Law No. 6 of 2015 in Indonesia’, in: McLellan, B. (ed.) Sustainable Future for Human Security. Springer, pp. 17–27.
54. Tabachnick, B.G. and Fidell, L.S. (2019) Using Multivariate Statistics. 7th Editio. Boston: Pearson Education.
55. Tabacknick, B.G., and Fidell, L.S. (1996) Using multivariate statistic. 3rd edn. New York: Harpour collings collers publishers.
56. Tanaamah, A.R., Hastari, P., and Tanaem, P.F. (2019) ‘Silon KPU: The perspective of IT balanced scorecard framework in general election commissions (KPU) of Surakarta’, Procedia Computer Science, 161, pp. 4–14. DOI: 10.1016/j.procs.2019.11.093.
57. Wu, I.L., and Chen, J.L. (2014) ‘A stage-based diffusion of IT innovation and the BSC performance impact: A moderator of technology-organization-environment’, Technological Forecasting and Social Change, 88, pp. 76–90. DOI: 10.1016/j.techfore.2014.06.015.
58. Yeniyurt, S. (2003) ‘A literature review and integrative performance measurement framework for multinational companies’, Marketing Intelligence & Planning, 21(3), pp. 134–142. DOI: 10.1108/02634500310474957.
59. Yong, A.G. and Pearce, S. (2013) ‘A beginner’s guide to factor analysis : Focusing on exploratory factor analysis’, Tutorials in Quantitative Methods for Psychology, 9(2), pp. 79–94.
60. Zuhriyah, F. et al. (2022) ‘The role of village government policies in improving the economy in Sumbermulyo village’, Jurnal Kewarganegaraan, 6(2), pp. 3975–3983.
2. Antlöv, H. (2003) ‘Village government and rural development in Indonesia: the new democratic framework’, Bulletin of Indonesian Economic Studies, 39(2), pp. 193–214. DOI: 10.1080/00074910302013.
3. Antlöv, H., Wetterberg, A. and Dharmawan, L. (2016) ‘Village governance, community life, and the 2014 village law in Indonesia’, Bulletin of Indonesian Economic Studies, 52(2), pp. 161–183. DOI: 10.1080/00074918.2015.1129047.
4. Arifin, B. et al. (2020) ‘Village fund, village-owned-enterprises, and employment : Evidence from Indonesia’, Journal of Rural Studies, 79, pp. 382–394. DOI: 10.1016/j.jrurstud.2020.08.052.
5. Bagozzi, R. R. and Yi, Y. (1988) ‘On the Evaluation of Structural Equation Models’, Journal of the Academy of Marketing Science, 16(1), pp. 74–94.
6. Beavers, A. S. et al. (2013) ‘Practical Considerations for Using Exploratory Factor Analysis in Educational Research’, Practical Assessment, Research, and Evaluation, 18(6), pp. 1–13.
7. Bitner, M.J. (1992) ‘Servicescapes: The impact of physical surroundings on customers and employees’, Journal of Marketing, 56(2), pp. 57–71. DOI: 10.1177/002224299205600205.
8. Bobe, B.J., Mihret, D.G. and Obo, D.D. (2017) 'Public-sector reforms and balanced scorecard adoption: an Ethiopian case study', Accounting, Auditing and Accountability Journal. DOI: 10.1108/AAAJ-03-2016-2484.
9. Cavalluzzo, K.S. and Ittner, C.D. (2004) ‘Implementing performance measurement innovations : evidence from government’, Accounting, Organizations and Society, 29, pp. 243–267. DOI: 10.1016/S0361-3682(03)00013-8.
10. Chin, W.W. (1998) ‘The partial least squares approach to structural equation modeling', in: G.A. Marcoulides (Ed.) Modern methods for business research. London: Lawrence Erlbaum Associates, pp. 295–236.
11. Conaty, F.J. (2012) ‘Performance management challenges in hybrid NPO / public sector settings: An Irish case’, International Journal of Productivity and Performance Management, 61(3), pp. 290–309. DOI: 10.1108/17410401211205650.
12. Costello, A.B.б and Osborne, J.W. (2005) ‘Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis’, Practical Assessment, Research & Evaluation, 10(7), pp. 1–9.
13. Dimitropoulos, P., Kosmas, I., and Loannis, D. (2017) ‘Implementing the balanced scorecard in a local government sport organization: Evidence from Greece Panagiotis Dimitropoulos Ioannis Kosmas Ioannis Douvis’, International Journal of Productivity and Performance Management, 66(3), pp. 362–379.
14. Distefano, C., and Hess, B. (2014) ‘Using confirmatory factor analysis for construct validation: An empirical review’, Journal of Psychoeducational Assessment, 23(3), pp. 225–241. DOI: 10.1177/073428290502300303.
15. Ellingson, D.A., and Wambsganss, J.R. (2001) ‘Modifying the approach to planning and evaluation in governmental entities: “A balanced scorecard” approach’, J. Public Budg. Account. Financ. Manag., 13(1), pp. 103–120.
16. Fatima, T., and Elbanna, S. (2020) ‘Balanced scorecard in the hospitality and tourism industry: Past, present and future’, International Journal of Hospitality Management, 91, p. 102656. DOI: 10.1016/j.ijhm.2020.102656.
17. Fornell, C., and Larcker, D.F. (1981) ‘Structural equation models with unobservable variables and measurement error: Algebra and statistics’, Journal of Marketing Research, 18(3), p. 382. DOI: 10.2307/3150980.
18. Gumbus, A., and Lyons, B. (2002) ‘The balanced scorecard at Philips Electronics’, Strategic Finance, 84(5), pp. 45–49.
19. Hair, J. F. et al. (2014) Multivariate Data Analysis. 7th Edition. Harlow: Pearson Education Limited.
20. Hair, J.F. et al. (2017) A primer on partial least squares structural equation modeling (PLS-SEM). Los Angeles: SAGE Publication. DOI: 10.1017/CBO9781107415324.004.
21. Hamied, M.S.A., and Elbagoury, A. (2022) ‘Balanced scorecards: proposed framework for application at the local system level insights from international experiences’, Review of Economics and Political Science, Vol. ahead (Vol. ahead-of-print). DOI: 10.1108/reps-08-2020-0109.
22. Henseler, J. (2010) ‘On the convergence of the partial least squares path modeling algorithm’, Computational Statistics, 25(1), pp. 107–120. DOI: 10.1007/s00180-009-0164-x.
23. Henseler, J., Ringle, C.M., and Sarstedt, M. (2015) ‘A new criterion for assessing discriminant validity in variance-based structural equation modeling’, J. of the Acad. Mark. Sci., 43, pp. 115–135. DOI: 10.1007/s11747-014-0403-8.
24. Hood, C. (1991) ‘A publıc management for all seasons’, Public Administration, 69(1), pp. 3–19.
25. Hoque, Z. (2014) ‘20 years of studies on the balanced scorecard: Trends, accomplishments, gaps and opportunities for future research’, British Accounting Review, 46(1), pp. 33–59. DOI: 10.1016/j.bar.2013.10.003.
26. Hoque, Z., and James, W. (2000) ‘Linking balanced scorecard measures to size and market factors : Impact on organizational performance’, Journal of Management Accounting Research, 12(1), pp. 1–17.
27. Hulland, J. (1999) ‘Use of partial least square (PLS) in strategic management research: a review of four recent studies’, Strategic Management Journal, 20, pp. 195–204.
28. Indriasari, D. et al. (2020) ‘Determinants of village financial management accountability’, in Advances in Social Science, Education and Humanities Researchm volume, FIRST 2019, pp. 182–188. DOI: 10.2991/assehr.k.200407.032.
29. Kaplan, R.S., and Norton, D.P. (1992) ‘The balanced scorecard — Measures that drive performance’, Harvard Business Review, January-February, pp. 71–79.
30. Kaplan, R.S., and Norton, D.P. (2004) Strategy maps: Converting Intangible assets into tangible outcomes. Boston, MA: Harvard Business School Press.
31. Kaplan, Robert S., and Norton, D.P. (2004) ‘The strategy map: guide to aligning intangible assets’, Strategy & Leadership, 32(5), pp. 10–17.
32. Keyes, J. (2005) Aligning IT with coporate strategy-implementing the IT balanced scorecard. Auerbach Publications, Taylor & Francis Group.
33. Kotler, P., and Keller, K. (2009) Marketing Management: International Version. 13th edn. New Jersey: Pearson Education.
34. Libby, T., Salterio, S.E. and Webb, A. (2004) ‘The balanced scorecard: the effects of assurance and process accountability on managerial judgment’, IThe Accounting Review, 79(4), pp. 1075–1094.
35. LOGOTRI (2003) Performance measurement and management in Asian-Pacific local government, a discussion paper and investigation into future directions, centre for local government at the University of Technology, Sydney, Australia, 23 September. Sydney, Australia.
36. Lukiastuti, F., Iskanto, I., and Djou, L.G. (2022) ‘The mediation role of the village fund management system on the relationship between HR advantages, utilization of IT, and Village Government performance’, Jurnal Bina Praja, 14(2), pp. 349–359. DOI: 10.21787/jbp.14.2022.349-359.
37. Mahmudi (2007) Manajemen Kinerja Sektor Publik. Yogyakarta: UPP STIM YKPN.
38. Maiga, A.S. and Jacobs, F.A. (2003) ‘Balanced scorecard , activity-based costing and company performance: An empirical analysis’, Journal of Managerial Issues, 15(3), pp. 283–301.
39. Maiga, A.S., Nilsson, A. and Jacobs, F.A. (2014) ‘Assessing the interaction effect of cost control systems and information technology integration on manufacturing plant financial performance’, British Accounting Review, 46(1), pp. 77–90. DOI: 10.1016/j.bar.2013.10.001.
40. Maimun et al. (2023) ‘Activating and organizing village economic potential through continuously strengthening BUMDES: A community service’, in: International conference of community services, pp. 400–407. DOI: 10.18196/iccs.v1i1.82.
41. Mardiasmo (2009) Akuntansi sektor publik. Yogyakarta. Yogyakarta: Andi Yogyakarta.
42. Mulaik, S.A. (2009) Foundations of factor analysis. New York, NY: Chapman & Hall.
43. Neely, A., Gregory, M., and Platts, K. (1995) ‘Performance measurement system design: A literature review and research agenda’, International Journal of Operations & Production Management, 15(4), pp. 80–116.
44. Nurlinah, Haryanto and Sunardi (2020) ‘New development , old migration , and governance at two villages in Jeneponto, Indonesia’, World Development Perspectives, 19, p. 100223. DOI: 10.1016/j.wdp.2020.100223.
45. Parasuman, A., Zeithaml, V., and Berry, L. (1988) ‘A multiple item scale for measuring consumer perceptions of service quality’, Journal of Retailing, 64(1), pp. 12–37. DOI: 10.1016/S0148-2963(99)00084-3.
46. Perkins, M., Grey, A., and Remmers, H. (2014) ‘What do we really mean by “Balanced Scorecard”?’, International Journal of Productivity and Performance Management, 63(2), pp. 148–169.
47. Pett, M., Lackey, N., and Sullivan, J. (2003) Making sense of factor analysis. Thousand Oaks, CA: Sage Publications, Inc.
48. Pratolo, S., and Jatmiko, B. (2020) ‘IT-based financial management and governance training role toward village government employee understanding on financial management’, e-Jurnal Akuntansi, 30(4), pp. 851–860.
49. Rompho, N. (2020) ‘The balanced scorecard for school management: case study of Thai public schools’, Measuring Business Excellence, 24(3), pp. 285–300. DOI: 10.1108/MBE-02-2019-0012.
50. Sofyani, H. et al. (2020) ‘The role of budgetary participation and environmental uncertainty in influencing managerial performance of village government’, Journal of Accounting and Investment, 21(2), pp. 258–276. DOI: 10.18196/jai.2102148.
51. Solano, J. et al. (2013) ‘Integration of systemic quality and the balanced scorecard’, Information System Management, 20(1), pp. 64–79.
52. Speklé, R.F., and Verbeeten, F.H.M. (2014) ‘The use of performance measurement systems in the public sector: Effects on performance’, Management Accounting Research, 25(2), pp. 131–146. DOI: 10.1016/j.mar.2013.07.004.
53. Susan, N., and Budirahayu, T. (2018) ‘Village government capacity in the implementation of Village Law No. 6 of 2015 in Indonesia’, in: McLellan, B. (ed.) Sustainable Future for Human Security. Springer, pp. 17–27.
54. Tabachnick, B.G. and Fidell, L.S. (2019) Using Multivariate Statistics. 7th Editio. Boston: Pearson Education.
55. Tabacknick, B.G., and Fidell, L.S. (1996) Using multivariate statistic. 3rd edn. New York: Harpour collings collers publishers.
56. Tanaamah, A.R., Hastari, P., and Tanaem, P.F. (2019) ‘Silon KPU: The perspective of IT balanced scorecard framework in general election commissions (KPU) of Surakarta’, Procedia Computer Science, 161, pp. 4–14. DOI: 10.1016/j.procs.2019.11.093.
57. Wu, I.L., and Chen, J.L. (2014) ‘A stage-based diffusion of IT innovation and the BSC performance impact: A moderator of technology-organization-environment’, Technological Forecasting and Social Change, 88, pp. 76–90. DOI: 10.1016/j.techfore.2014.06.015.
58. Yeniyurt, S. (2003) ‘A literature review and integrative performance measurement framework for multinational companies’, Marketing Intelligence & Planning, 21(3), pp. 134–142. DOI: 10.1108/02634500310474957.
59. Yong, A.G. and Pearce, S. (2013) ‘A beginner’s guide to factor analysis : Focusing on exploratory factor analysis’, Tutorials in Quantitative Methods for Psychology, 9(2), pp. 79–94.
60. Zuhriyah, F. et al. (2022) ‘The role of village government policies in improving the economy in Sumbermulyo village’, Jurnal Kewarganegaraan, 6(2), pp. 3975–3983.
Опубликован
2025-03-11
Как цитировать
З.З., Илона Д., Новианти Н., Суампери, & Расли А. (2025). МЕРЫ ПО ОЦЕНКЕ ЭФФЕКТИВНОСТИ РАБОТЫ АДМИНИСТРАЦИИ СЕЛЬСКОГО ХОЗЯЙСТВА: ИССЛЕДОВАНИЕ ПЕРЕКРЕСТНОЙ ПРОВЕРКИ НА ОСНОВЕ SEM. Вопросы государственного и муниципального управления, (5), 28-51. https://doi.org/10.17323/1999-5431-2025-0-5-28-51
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Раздел
ПРОБЛЕМЫ УПРАВЛЕНИЯ: ТЕОРИЯ И ПРАКТИКА
