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Recommended Readings and References

Recommended Readings

References

Adrianto, W, dan Kholil (2015). Analisis Penerapan Lean Production Process untuk Mengurangi Lead Time Process Perawatam Engine (Studi Kasus PT. GMF Aeroasia). Jurnal Optimasi Sistem Industri, (14)2.

Amrina, U., & Fitrahaj, M. U. R. (2020). An application of value stream mapping to reduce waste in livestock vitamin raw material warehouse. International Journal of Science and Research, 9(3), 1541-1546. Retrieved from An Application of Value Stream Mapping to Reduce Waste in Livestock Vitamin Raw Material Warehouse.

Amrina, U., & Zagloel, T. Y. M. (2019). The harmonious strategy of lean and green production: Future opportunities to achieve sustainable productivity and quality. In 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA) (pp. 187-192). IEEE. https://doi.org/10.1109/IEA.2019.8714768

Anjum, M. N., & Khan, M. K. (2024). Impact of public procurement rules on the efficient procurement processes mediated by technology integration: Health sector: A case of Punjab. Research Journal of Social Innovation, 6(2), 45-60. https://doi.org/10.56976/rjsi.v6i2.226

Arnaboldi, M., & Azzone, G. (2020). Data science in the design of public policies: Dispelling the obscurity in matching policy demand and data offer. Heliyon, 6(6), e04300. https://doi.org/10.1016/j.heliyon.2020.e04300

Bernstein, S., & Cashore, B. (2007). Can non-state global governance be legitimate? An analytical framework. Regulation & Governance, 1(4), 347-371. https://doi.org/10.1111/j.1748-5991.2007.00021.x

Bright, J., & Margetts, H. (2016). Big data and public policy: Can it succeed where e-participation has failed? Policy & Internet, 8(3), 218-224. https://doi.org/10.1002/poi3.130

Casanovas, P., De Koker, L., Mendelson, D., & Watts, D. (2017). Regulation of big data: Perspectives on strategy, policy, law and privacy. Health Technology, 7(4), 335-349. https://doi.org/10.1007/s12553-017-0190-6

Desouza, K. C., & Jacob, B. (2017). Big data in the public sector: Lessons for practitioners and scholars. Administration & Society, 49(7), 1043-1064. https://doi.org/10.1177/0095399714555751

Firdaus, D. A. 2018. Identifikasi waste dengan pendekatan value stream mapping di Bagian Sanding Balikan Flow Coater (Studi Kasus PT. Yamaha
Indonesia). Sarjana. Universitas Islam Indonesia

Ge, H., & Wang, B. (2019). Research on management model of network public opinion based on big data technology. Journal of Physics Conference Series, 1345(5), 0-5. https://doi.org/10.1088/1742-6596/1345/5/052043

Giest, S. (2017). Big data for policymaking: Fad or fast-track? Policy Sciences, 50(3), 367-382. https://doi.org/10.1007/s11077-017-9293-1

Goyal, N., El-Taliawi, O. G., & Howlett, M. (2022). The prevalence of big data analytics in public policy: Is there a research-pedagogy gap? In S. Nair & N. Varma (Eds.), Emerging pedagogies for policy education (pp. 1-20). Palgrave Macmillan. https://doi.org/10.1007/978-981-16-5864-8_6

Gregory A., Halff G. (2020). The damage done by big data-driven public relations. Public Relations Review, 46(2), 101902.

Guenduez, A. A., Mettler, T., & Schedler, K. (2020). Technological frames in public administration: What do public managers think of big data? Government Information Quarterly, 37(1), 101406. https://doi.org/10.1016/j.giq.2019.101406

Helleno, A. L., Moraes, A., & Simon, A. T. (2017). Integrating sustainability indicators and lean manufacturing to assess manufacturing processes: Application case studies in Brazilian industry. Journal of Cleaner Production, 153, 405-416. https://doi.org/10.1016/j.jclepro.2016.12.072

Höchtl J., Parycek P., Schöllhammer R. (2016). Big data in the policy cycle: Policy decision making in the digital era. Journal of Organizational Computing and Electronic Commerce, 26(1–2), 147–169.

Kandt, J., & Batty, M. (2021). Smart cities, big data and urban policy: Towards urban analytics for the long run. Cities, 109, 102992. https://doi.org/10.1016/j.cities.2020.102992

Kekez, A., Howlett, M., & Ramesh, M. (2019). Collaboration in public service delivery: What, when and how. In Collaboration in public service delivery (pp. 1-20). Edward Elgar Publishing. https://doi.org/10.4337/9781788978583.00009

Khurshid, M. M., Zakaria, N. H., Rashid, A., Kazmi, R., Shafique, M. N., & Nazir Ahmad, M. (2019). Analyzing diffusion patterns of big open data as policy innovation in public sector. Computers & Electrical Engineering, 78, 148-161. https://doi.org/10.1016/j.compeleceng.2019.07.010

Kiggins R. D. (2018). Big data, artificial intelligence, and autonomous policy decision-making: A crisis in international relations theory? In Kiggins R. (Ed.), The political economy of robots (pp. 211–234). Springer International Publishing.

Klievink, B., Romijn, B.-J., Cunningham, S., & de Bruijn, H. (2017). Big data in the public sector: Uncertainties and readiness. Information Systems Frontiers, 19(2), 267-283. https://doi.org/10.1007/s10796-016-9686-2

Korhonen, J., Honkasalo, A., & Seppälä, J. (2018). Circular economy: The concept and its limitations. Ecological Economics, 143, 37-46. https://doi.org/10.1016/j.ecolecon.2017.06.041

Lavertu S. (2016). We all need help: “Big Data” and the mismeasure of public administration. Public Administration Review, 76(6), 864–872.

Lee, J. W. (2020). Big data strategies for government, society and policy-making. Journal of Asian Finance, Economics and Business, 7(7), 475-487. https://doi.org/10.13106/jafeb.2020.vol7.no7.475

Maciejewski, M. (2017). To do more, better, faster and more cheaply: Using big data in public administration. International Review of Administrative Sciences, 83(1_suppl), 120-135. https://doi.org/10.1177/0020852316640058

Mavriki P., Karyda M. (2020). Big data analytics: From threatening privacy to challenging democracy. In: Katsikas S., Zorkadis V. (eds) E-Democracy – Safeguarding Democracy and Human Rights in the Digital Age. e-Democracy 2019. Communications in computer and information science:, vol. 1111. Springer, Cham.

Miljand, M. (2020, December). Using systematic review methods to evaluate environmental public policy: Methodological challenges and potential usefulness. Environmental Science & Policy, 105, 47-55. https://doi.org/10.1016/j.envsci.2019.12.008

Panagiotopoulos P., Bowen F., Brooker P. (2017). The value of social media data: Integrating crowd capabilities in evidence-based policy. Government Information Quarterly, 34(4), 601–612.

Poel M., Meyer E. T., Schroeder R. (2018). Big data for policymaking: Great expectations, but with limited progress? Policy & Internet, 10(3), 347–367.

Rother, M., & Shook, J. (2018). Learning to see: Value stream mapping to create value and eliminate muda. Lean Enterprise Institute.

Sarker, M. N. I., Wu, M., & Hossin, M. A. (2018). Smart governance through big data: Digital transformation of public agencies [Conference session]. In 2018 International Conference on Artificial Intelligence and Big Data (ICAIBD) (pp. 1-6). IEEE. https://doi.org/10.1109/ICAIBD.2018.8396168

Shah, S. I. H., Peristeras, V., & Magnisalis, I. (2021). Government big data ecosystem: Definitions, types of data, actors, and roles and the impact in public administrations. Journal of Data and Information Quality, 13(2), 1-25. https://doi.org/10.1145/3425709

Spence, E. H. (2021). Public policy and regulative change to combat media corruption. In Media corruption in the age of information (pp. 141-162). Springer. https://doi.org/10.1007/978-3-030-61612-0_

Studinka J., Guenduez A. A. (2018). The use of big data in the public policy process: Paving the way for evidence-based governance. Smart Government Lab, Institute for Public Management and Governance.

Suominen, A., & Hajikhani, A. (2021). Research themes in big data analytics for policymaking: Insights from a mixed-methods systematic literature review. Policy & Internet, 13(4), 464–484. https://doi.org/10.1002/poi3.258

Taylor L., Schroeder R. (2015). Is bigger better? The emergence of big data as a tool for international development policy. GeoJournal, 80(4), 503–518.

van der Voort, H. G., Klievink, A. J., Arnaboldi, M., & Meijer, A. J. (2019). Rationality and politics of algorithms. Will the promise of big data survive the dynamics of public decision making? Government Information Quarterly, 36(1), 27–38. https://doi.org/10.1016/j.giq.2018.10.011

Visvizi, A., Lytras, M. D., & Aljohani, N. (2021). Big data research for politics: Human centric big data research for policy making, politics, governance and democracy. Journal of Ambient Intelligence and Humanized Computing, 12(4), 4303–4304. https://doi.org/10.1007/s12652-021-03171-3

Vydra, S., & Klievink, B. (2019). Techno-optimism and policy-pessimism in the public sector big data debate. Government Information Quarterly, 36(4), 101383. https://doi.org/10.1016/j.giq.2019.05.010

Wahyunengseh, R., & Hastjarjo, S. (2021). Big data analysis of policies on disaster communication: Mapping the issues of communication and public responses in the government social media. IOP Conference Series: Earth and Environmental Science, 717(1), 012004. https://doi.org/10.1088/1755-1315/717/1/012004

Xu, B., & Liu, Y. (2022). The role of big data in network public opinion within the colleges and universities. Soft Computing, 26, 10853–10862. https://doi.org/10.1007/s00500-022-07082

Zelli, F., Möller, I., & van Asselt, H. (2017). Institutional complexity and private authority in global climate governance: The cases of climate engineering, REDD+, and short-lived climate pollutants. Environmental Politics, 26(4), 669-693. https://doi.org/10.1080/09644016.2017.1319020

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