Digital Transformation of Informal Workers in the New Normal Era: “Can It Be the Solution We Are Searching For?”

Authors

  • Suryo Adi Rakhmawan King Fahd University of Petroleum and Mineral (KFUPM), Saudi Arabia and BPS-Statistics Indonesia

DOI:

https://doi.org/10.53572/ejavec.v6i2.87

Keywords:

Informal workers, Digital transformation, Economic welfare, Formalisation, Logistic regression

Abstract

The COVID-19 pandemic has proven to accelerate digitalisation transformation in Indonesia. Various economic activities have involved digital media, the internet, and information technology to support productivity, including informal workers who make up the majority of workers in East Java. This research can provide an initial picture of digital transformation and its impact on informal workers in the new normal through the National Labor Force Survey Data from 2019 to 2022, complemented by other data. Using binary logistic regression analysis, all independent variables in the form of digitalisation, social security, productive age, and risk of exposure to COVID-19 proved to have a significant effect on the welfare of informal workers in the new normal. Furthermore, with the focus of the analysis on digitisation, this study shows that digitalisation can significantly catalyse the formalisation of the informal workforce. The formalisation will reduce the vulnerability of informal workers so that microeconomic activity can be accelerated, which impacts the macroeconomy and society in East Java. This study can also describe the specific segmentation of regencies/cities in East Java regarding the readiness for digitalisation transformation as measured by analysis of variable factors related to the demand and supply sides of digital transformation. Both sides were then carried out a cluster analysis of the Regency/City area in East Java.

References

Aji, M. M. S., & Nasriyah, N. (2022). Determinan Konsumsi Rumah Tangga: Upaya Optimaliasi Pemulihan Perekonomian Indonesia.

Akuoko, P. B., Aggrey, V., & Amoako-Arhen, A. (2021). Ghana’s informal economic sector in the face of a pandemic. Social Sciences & Humanities Open, 3(1), 100094.

Ali, B. J. (2020). Impact of COVID-19 on consumer buying behavior toward online shopping in Iraq. Ali, BJ (2020). Impact of COVID-19 on Consumer Buying Behavior toward Online Shopping in Iraq. Economic Studies Journal, 18(42), 267–280.

Almeida, F., Santos, J. D., & Monteiro, J. A. (2020). The challenges and opportunities in the digitalization of companies in a post-COVID-19 World. IEEE Engineering Management Review, 48(3), 97–103.

Amankwah-Amoah, J., Khan, Z., Wood, G., & Knight, G. (2021). COVID-19 and digitalization: The great acceleration. Journal of Business Research, 136, 602–611.

Anthony Jnr, B., & Abbas Petersen, S. (2021). Examining the digitalisation of virtual enterprises amidst the COVID-19 pandemic: a systematic and meta-analysis. Enterprise Information Systems, 15(5), 617–650.

Asmono, Y. A., & Radjikan, R. (2022). Kebijakan Pelaksanaan PPKM Darurat Sebagai Upaya Pengendalian Covid-19 di Provinsi Jawa Timur. PRAJA Observer: Jurnal Penelitian Administrasi Publik (e-ISSN: 2797-0469), 2(01), 70–88.

Autor, D., Dorn, D., Katz, L. F., Patterson, C., & van Reenen, J. (2020). The Fall of the Labor Share and the Rise of Superstar Firms*. The Quarterly Journal of Economics, 135(2), 645–709. https://doi.org/10.1093/qje/qjaa004

Bangasser, P. E. (2000). The ILO and the informal sector: an institutional history. International Labour Organization Geneva.

Beyer, R., Jain, T., & Sinha, S. (2021). Lights out? COVID-19 containment policies and economic activity. COVID-19 Containment Policies and Economic Activity (May 29, 2021).

Bonner, C., & Carré, F. (2013). Global networking: Informal workers build solidarity, power and representation through networks and alliances. WIEGO working paper.

BPS. (2009). Analisis Hasil Survei Ketenagakerjaan.

BPS. (2021a). Analisis Hasil Survei Dampak Covid-19 Terhadap Pelaku Usaha.

BPS. (2021b). Berita Resmi Statistik: Ekonomi Jawa Timur Triwulan IV-2021.

BPS. (2021c). Berita Resmi Statistik Ketenagakerjaan.

BPS. (2021d). Berita Resmi Statistik Ketenagakerjan Provinsi Jawa Timur.

BPS. (2021e). Berita Resmi Statistik Pertumbuhan Ekonomi Indonesia.

Busulwa, R., Pickering, M., & Mao, I. (2022). Digital transformation and hospitality management competencies: Toward an integrative framework. International Journal of Hospitality Management, 102, 103132. https://doi.org/https://doi.org/10.1016/j.ijhm.2021.103132

Chaerani, D., Talytha, M. N., Perdana, T., Rusyaman, E., & Gusriani, N. (2020). Pemetaan Usaha Mikro Kecil Menengah (UMKM) Pada Masa Pandemi Covid-19 Menggunakan Analisis Media Sosial Dalam Upaya Peningkatan Pendapatan. Dharmakarya, 9(4), 275–282.

Coderre-LaPalme, G., Greer, I., & Schulte, L. (2021). Welfare, Work and the Conditions of Social Solidarity: British Campaigns to Defend Healthcare and Social Security. Work, Employment and Society, 09500170211031454. https://doi.org/10.1177/09500170211031454

Day, C., & Day, G. (2021). Aging, voters and lower income tax: A role for pension design. Economic Modelling, 94, 560–569. https://doi.org/https://doi.org/10.1016/j.econmod.2020.02.002

Deja, M., Rak, D., & Bell, B. (2021). Digital transformation readiness: perspectives on academia and library outcomes in information literacy. The Journal of Academic Librarianship, 47(5), 102403.

Dewi, S., Listyowati, D., & Napitupulu, B. E. (2020). Sektor Informal dan kemajuan Teknologi Informasi di Indonesia. Jurnal Mitra Manajemen, 11(1).

Febrianto, E. N. (2020). Hubungan Sektor Informal dan Pertumbuhan Ekonomi Di Indonesia. Jurnal Ilmiah Ilmu Pendidikan, Ilmu Ekonomi, Dan Ilmu Sosial, 14, 151–158.

Feierherd, G. (2022). Courting Informal Workers: Exclusion, Forbearance, and the Left. American Journal of Political Science, 66(2), 418–433. https://doi.org/https://doi.org/10.1111/ajps.12576

Fleche, S., Lepinteur, A., & Powdthavee, N. (2018). Gender Norms and Relative Working Hours: Why Do Women Suffer More Than Men from Working Longer Hours Than Their Partners? AEA Papers and Proceedings, 108, 163–168. https://doi.org/10.1257/pandp.20181098

Gimpelson, V., & Zudina, A. (2011). Informal workers in the Russian economy: Who are they and how many? Voprosy Economiki, 10.

Globalstats. (2021). Mobile Operating System Market Share Indonesia.

Gordon, J., & Evans, J. D. (2021). Aging, mental illness and COVID-19: Focusing research on vulnerable populations. Aging Brain, 1, 100007. https://doi.org/https://doi.org/10.1016/j.nbas.2021.100007

Guo, F., Huang, Y., Wang, J., & Wang, X. (2022a). The informal economy at times of COVID-19 pandemic. China Economic Review, 71, 101722.

Guo, F., Huang, Y., Wang, J., & Wang, X. (2022b). The informal economy at times of COVID-19 pandemic. China Economic Review, 71, 101722. https://doi.org/https://doi.org/10.1016/j.chieco.2021.101722

Horgan, D., Hackett, J., Westphalen, C. B., Kalra, D., Richer, E., Romao, M., Andreu, A. L., Lal, J. A., Bernini, C., & Tumiene, B. (2020). Digitalisation and COVID-19: the perfect storm. Biomedicine Hub, 5(3), 1–23.

ILO. (2021). Extending social security to workers in the informal economy. Information and awareness.

ILO. (2022). Trends 2022 ILO Flagship Report World Employment and Social Outlook.

Ing, L. Y., & Basri, M. C. (2022). COVID-19 in Indonesia: Impacts on the Economy and Ways to Recovery. Routledge.

Islamiah, A. P., Priana, W., & Wahed, M. (2021). Analisis Pengaruh Konsumsi Rumah Tangga, Investasi, dan Jumlah Usaha terhadap Pertumbuhan Ekonomi Di Kota Surabaya. Jurnal Syntax Admiration, 2(6), 963–977.

Janet Yellen. (2021). The history of women’s work and wages and how it has created success for us all. Brookings.

Karno, D., & Sulaiman, L. (2021). Peran pemerintah dan tenaga kesehatan dalam penanggulangan COVID-19. Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal, 665–672.

Komin, W., Thepparp, R., Subsing, B., & Engstrom, D. (2021). Covid-19 and its impact on informal sector workers: a case study of Thailand. Asia Pacific Journal of Social Work and Development, 31(1–2), 80–88.

Konopik, J., Jahn, C., Schuster, T., Hoßbach, N., & Pflaum, A. (2022). Mastering the digital transformation through organizational capabilities: A conceptual framework. Digital Business, 2(2), 100019. https://doi.org/https://doi.org/10.1016/j.digbus.2021.100019

Losby, J. L., Else, J. F., Kingslow, M. E., Edgcomb, E. L., Malm, E. T., & Kao, V. (2002). Informal economy literature review. ISED Consulting and Research, 1, 55.

Machin, R. (2021). COVID-19 and the temporary transformation of the UK social security system. Critical Social Policy, 41(4), 651–662. https://doi.org/10.1177/0261018320986793

Martínez, L., Young, G., Trofimoff, V., Valencia, I., Vidal, N., Espada, A. D., & Robles, E. (2022). The hardships of the poorest during the COVID-19 pandemic: Data about the socioeconomic conditions and governance of informal workers. Data in Brief, 40, 107728. https://doi.org/https://doi.org/10.1016/j.dib.2021.107728

Martı́n Andrés, A., & Herranz Tejedor, I. (2004). Exact unconditional non-classical tests on the difference of two proportions. Computational Statistics & Data Analysis, 45(2), 373–388. https://doi.org/https://doi.org/10.1016/S0167-9473(02)00351-1

May, S., & Hosmer, D. W. (2003). Hosmer and Lemeshow type Goodness-of-Fit Statistics for the Cox Proportional Hazards Model. In Handbook of Statistics (Vol. 23, pp. 383–394). Elsevier. https://doi.org/https://doi.org/10.1016/S0169-7161(03)23021-2

McKinsey and Company. (2017). Digitization, AI, And the Future of Work: Imperatives For Europe.

Mediavilla, R., Fernández-Jiménez, E., Martínez-Alés, G., Moreno-Küstner, B., Martínez-Morata, I., Jaramillo, F., Morán-Sánchez, I., Minué, S., Torres-Cantero, A., Alvarado, R., Ayuso-Mateos, J. L., Mascayano, F., Susser, E., & Bravo-Ortiz, M.-F. (2021). Role of access to personal protective equipment, treatment prioritization decisions, and changes in job functions on health workers’ mental health outcomes during the initial outbreak of the COVID-19 pandemic. Journal of Affective Disorders, 295, 405–409. https://doi.org/https://doi.org/10.1016/j.jad.2021.08.059

Meindl, B., Ayala, N. F., Mendonça, J., & Frank, A. G. (2021). The four smarts of Industry 4.0: Evolution of ten years of research and future perspectives. Technological Forecasting and Social Change, 168, 120784. https://doi.org/https://doi.org/10.1016/j.techfore.2021.120784

Mirani, K. P., Margareth, A. N., Cahyarani, N., & Maulana, A. (2021). Strategi Kebijakan Fiskal Pemerintah Dalam Meningkatkan Perekonomian Indonesia pada Masa Pandemi Covid-19. Bilancia: Jurnal Ilmiah Akuntansi, 5(2), 193–204.

Mugge, P., Abbu, H., Michaelis, T. L., Kwiatkowski, A., & Gudergan, G. (2020). Patterns of digitization: A practical guide to digital transformation. Research-Technology Management, 63(2), 27–35.

Naik, A. K. (2009). Informal sector and informal workers in India. Special IARIW-SAIM Conference on ‘Measuring the Informal Economy in Developing Countries’ September, 23–26.

Nazara, Suahasil., & International Labour Office. (2010). Ekonomi informal di Indonesia : ukuran, komposisi dan evolusi. ILO.

Noja, G. G., Cristea, M., Sîrghi, N., & Vădăsan, I. (2022). The Role of Digitalisation in Reducing Risks and Bridging Regional Economic Welfare Gaps within a Sustainable Development Framework: The Case of Romania. In S. Grima, E. Özen, & I. Romānova (Eds.), Managing Risk and Decision Making in Times of Economic Distress, Part B (Vol. 108B, pp. 131–142). Emerald Publishing Limited. https://doi.org/10.1108/S1569-37592022000108B037

Nordesjö, K., Scaramuzzino, G., & Ulmestig, R. (2022). The social worker-client relationship in the digital era: a configurative literature review. European Journal of Social Work, 25(2), 303–315. https://doi.org/10.1080/13691457.2021.1964445

OECD. (2018). Usual working hoursper week by gender. OECD Employment Outlook 2018. https://doi.org/10.1787/empl_outlook-2018

OECD. (2020a). Informality and Social Protection in the time of COVID-19.

OECD. (2020b). What have platforms done to protect workers during the coronavirus (COVID-19) crisis?

OECD. (2021). Informality and COVID-19 in Eurasia: The Sudden Loss of a Social Buffer. www.oecd.org/eurasia

Osina, D. M., Tolstopyatenko, G. P., & Malinovsky, A. A. (2020). Digitalization of higher legal education in russia in the age of covid-19. International Scientific and Practical Conference, 392–398.

Papadopoulos, T., Baltas, K. N., & Balta, M. E. (2020). The use of digital technologies by small and medium enterprises during COVID-19: Implications for theory and practice. International Journal of Information Management, 55, 102192.

Pisani, M. J. (2021). New age informality: Hispanics and the sharing economy. Administrative Sciences, 11(1), 23.

Potia, A., & Dahiya, K. (2020). Optimistic, digital, generous: COVID-19’s impact on Indonesian consumer sentiment.

Purba, I. P. (2021). Implementasi Undang-Undang Nomor 6 Tahun 2018 Tentangkekarantinaan Kesehatan Di Jawa Timur Menghadapi Pandemi Covid 19. Jurnal Pahlawan, 4(1), 1–11.

Rebekah Smith. (2021). Digital transformation – benefits for all?

Riffenburgh, R. H., & Gillen, D. L. (2020). 17 - Logistic regression for binary outcomes. In R. H. Riffenburgh & D. L. Gillen (Eds.), Statistics in Medicine (Fourth Edition) (pp. 437–457). Academic Press. https://doi.org/https://doi.org/10.1016/B978-0-12-815328-4.00017-6

Sánchez, M. A. (2017). A framework to assess organizational readiness for the digital transformation. Dimensión Empresarial, 15(2), 27–40.

Sari, E. K., & Zufar, B. N. F. (2021). Perempuan pencari nafkah selama pandemi COVID-19. Al-Mada: Jurnal Agama, Sosial, Dan Budaya, 4(1), 13–29.

Setyorini, N., Sumastuti, E., & Utami, R. H. (2022). Urgensi Keamanan Pangan Rumah Tangga dalam Menghadapi Pandemi Covid-19. Jurnal Sosial Ekonomi Pertanian, 18(1), 15–26.

Shek, D. T. L. (2021). COVID-19 and quality of life: Twelve reflections. Applied Research in Quality of Life, 16(1), 1–11.

Siddiqi, U. I., Akhtar, N., & Islam, T. (2022). Restaurant hygiene attributes and consumers’ fear of COVID-19: Does psychological distress matter? Journal of Retailing and Consumer Services, 67, 102972. https://doi.org/https://doi.org/10.1016/j.jretconser.2022.102972

Singh, B. (2021). Covid Pandemic, Welfare State, and Informality in India’s Manufacturing Sector: A Perspective. International Journal of Economics Business and Human Behaviour, 2(4), 1. https://doi.org/10.5281/zenodo.5810102

Sinuraya, M., & Darmawan, M. M. A. P. (n.d.). Sistematic Mapping Study Terhadap Peran Usaha Informal Sebagai Antisipasi Krisis Ekonomi di Era Covid 19.

Soliman, A. M. (2021). State Power, Society, Economy, and Urban Informality. In Urban Informality (pp. 157–188). Springer.

Tuukkanen, V., Wolgsjö, E., & Rusu, L. (2022). Cultural Values in Digital Transformation in a Small Company. Procedia Computer Science, 196, 3–12.

Utami, B. A., & Kafabih, A. (2021). Sektor pariwisata Indonesia di tengah pandemi COVID 19. Jurnal Dinamika Ekonomi Pembangunan, 4(1), 383–389.

Vargo, D., Zhu, L., Benwell, B., & Yan, Z. (2021). Digital technology use during COVID‐19 pandemic: A rapid review. Human Behavior and Emerging Technologies, 3(1), 13–24.

Vicky Leung. (2021). Case study: Fostering formal work with digital tools. In Development Co-operation Report 2021 : Shaping a Just Digital Transformation. OECD.

Vrana, J., & Singh, R. (2021). Digitization, digitalization, and digital transformation. Handbook of Nondestructive Evaluation 4.0, 1–17.

Walwei, U. (2016). Digitalization and structural labour market problems: The case of Germany.

Watanabe, T., & Omori, Y. (2020). Online consumption during the COVID-19 crisis: Evidence from Japan. Covid Economics, 38(16), 218–252.

Xiong, J., Wang, K., Yan, J., Xu, L., & Huang, H. (2021). The window of opportunity brought by the COVID-19 pandemic: an ill wind blows for digitalisation leapfrogging. Technology Analysis & Strategic Management, 1–13.

Yamamura, E., & Tsustsui, Y. (2021). The impact of closing schools on working from home during the COVID-19 pandemic: evidence using panel data from Japan. Review of Economics of the Household, 19(1), 41–60. https://doi.org/10.1007/s11150-020-09536-5

Zhou, X.-H., & Qin, G. (2005). A new confidence interval for the difference between two binomial proportions of paired data. Journal of Statistical Planning and Inference, 128(2), 527–542. https://doi.org/https://doi.org/10.1016/j.jspi.2003.11.005

Zou, G., & Donner, A. (2004). A simple alternative confidence interval for the difference between two proportions. Controlled Clinical Trials, 25(1), 3–12. https://doi.org/https://doi.org/10.1016/j.cct.2003.08.010

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Published

2022-09-29

How to Cite

Adi Rakhmawan, S. (2022). Digital Transformation of Informal Workers in the New Normal Era: “Can It Be the Solution We Are Searching For?”. East Java Economic Journal, 6(2), 182–207. https://doi.org/10.53572/ejavec.v6i2.87

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