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Sustainable reverse logistics scorecards for the performance measurement of informal e-waste businesses
Maheswari H.a,b, Yudoko G.a, Adhiutama A.a, Agustina H.c
a School of Business and Management, Institut Teknologi Bandung, Indonesia
b Pertamina University, Indonesia
c Ministry of Environment and Forestry Republic Indonesia, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2020 The AuthorsMany countries depend on businesses in reverse chains to tackle the environmental pollution caused by the tremendous amount of e-waste. Furthermore, due to the domination of informal businesses in many developing countries, environmental rules are not considered during operation, and these violations tend to affect public health adversely. The government in these developing countries finds it difficult to manage and utilize e-waste due to insufficient resources properly. The existing performance measures are only appropriate for implementation in developed countries with the inability to assess informal e-waste businesses in developing countries. Therefore, to address this gap, this research proposes sustainable reverse logistics scorecards (SRLS) to identify informal e-waste businesses’ performance. Data were obtained through in-depth interviews with eleven experts, questionnaire survey with one hundred eighty-six informal e-waste businesses in Indonesia using the snowball sampling method and by measurement identification using the statistical descriptive analysis such as mean, geometric mean, mode, and sign-test median including experts’ confirmation. The results showed that there are twenty-two parameters from six perspectives namely financial, stakeholders’ value, internal business processes, innovation and growth, environment, and social. These parameters can be used as a performance measurement following government regulation and adjusting the motivation, strategy, capability, and activities of informal e-waste businesses. They are also useful for practical assessment and decision purposes, such as process safety and economic impact evaluation of businesses with the ability to create job opportunities, satisfy employees, and provide persuasive incentives. The balance between environment, welfare, and e-waste management is realized through SRLS. We suggested that other researchers use these parameters to assess the performance of informal e-waste throughout Indonesia and the government considered these parameters to assess them before deciding to collaborate for handling e-waste problems.© 2020 The AuthorsPerformance measurement; Sustainable reverse logistics scorecard; Informal electronic waste businesses; Developing countries; Sustainable development; Waste; Sustainable business; Operations management; Logistics; Business management; Family business, Business, Environmental science.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Business,Business management,Developing countries,Environmental science,Family business,Informal electronic waste businesses,Logistics,Operations management,Performance measurement,Sustainable business,Sustainable development,Sustainable reverse logistics scorecard,Waste[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][{‘$’: ‘This work was supported by LPDP Scholarship from Ministry of Finance and Ministry Research and Higher Education of Indonesia , Pertamina University.’}, {‘$’: ‘This study would not have been possible without support material and non-material from LPDP scholarship from The Ministry of Finance, The Ministry of Research Technology and Higher Education, and Pertamina University.’}][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1016/j.heliyon.2020.e04834[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]