Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9673013
Jonny, Kriswanto
Big Data Analytics (BDA) adoption in Indonesia is modelled in this paper. Lack of knowledge on this field has urge the importance of modeling factors that impacts company to adopt BDA as its strategic initiative to win contested market. Thus, knowledge contribution related to factors influencing BDA adoption using TOE framework is the goal of this paper. For this purpose, 206 companies were surveyed using questionnaire as its research instrument. Among these companies, only 124 companies have given their responses. SmartPLS 3.0 was used to process them. There are two significant findings in the result. First, technology savviness (TS), organizational readiness (OR) and environmental change anticipation (ECA) influence the adoption of BDA in Indonesian companies. Second, TS and ECA influence OR. As managerial implications, companies in Indonesia need to promote mainly TS and OR to gain maximum benefits of BDA adoption.
{"title":"Modelling Big Data Analytics Adoption: An Indonesian Case","authors":"Jonny, Kriswanto","doi":"10.1109/IEEM50564.2021.9673013","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673013","url":null,"abstract":"Big Data Analytics (BDA) adoption in Indonesia is modelled in this paper. Lack of knowledge on this field has urge the importance of modeling factors that impacts company to adopt BDA as its strategic initiative to win contested market. Thus, knowledge contribution related to factors influencing BDA adoption using TOE framework is the goal of this paper. For this purpose, 206 companies were surveyed using questionnaire as its research instrument. Among these companies, only 124 companies have given their responses. SmartPLS 3.0 was used to process them. There are two significant findings in the result. First, technology savviness (TS), organizational readiness (OR) and environmental change anticipation (ECA) influence the adoption of BDA in Indonesian companies. Second, TS and ECA influence OR. As managerial implications, companies in Indonesia need to promote mainly TS and OR to gain maximum benefits of BDA adoption.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"53 1","pages":"1122-1126"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90812225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672912
De-Yu Chen, Haixin Zhang, Yali Zhang
In recent years, environmental public welfare projects have mushroomed on major online public welfare platforms, reflecting people's strong desire to improve the current environment. However, China's “Internet +” environmental public welfare undertakings started late. The current academic studies on promoting the development of such projects mostly start from the perspective of a single stakeholder and study the factors affecting their participation, without analyzing how the project's text, as the primary information carrier of the project, promotes the success of the project fundraising. This paper takes the environmental public welfare projects of Tencent Charity as the research object, conducts text sentiment tendency analysis on 393 collected data, and then uses a generalized linear model to analyze the influence of different fundraising duration and target amounts on fundraising effects. The results show that positive text is beneficial to the success of project fundraising, negative text is detrimental to the success of project fundraising, and neutral text has almost no effect on the effect of project fundraising.
{"title":"How Does the Text Sentiment Tendency Affect the Fundraising Effect of Digital Environmental Protection Public Welfare Projects?—Moderating Effect of Projects' Information","authors":"De-Yu Chen, Haixin Zhang, Yali Zhang","doi":"10.1109/IEEM50564.2021.9672912","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672912","url":null,"abstract":"In recent years, environmental public welfare projects have mushroomed on major online public welfare platforms, reflecting people's strong desire to improve the current environment. However, China's “Internet +” environmental public welfare undertakings started late. The current academic studies on promoting the development of such projects mostly start from the perspective of a single stakeholder and study the factors affecting their participation, without analyzing how the project's text, as the primary information carrier of the project, promotes the success of the project fundraising. This paper takes the environmental public welfare projects of Tencent Charity as the research object, conducts text sentiment tendency analysis on 393 collected data, and then uses a generalized linear model to analyze the influence of different fundraising duration and target amounts on fundraising effects. The results show that positive text is beneficial to the success of project fundraising, negative text is detrimental to the success of project fundraising, and neutral text has almost no effect on the effect of project fundraising.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"88 1","pages":"890-894"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76668091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672880
M. Bonini, M. Mete, T. Nguyen, Augusto Urru, W. Echelmeyer
Compared to the automotive sector, where automation is the rule, in many other less standardized sectors automation is still the exception. This could soon hurt the productivity of industrialized countries, where the unemployment is low and the population is aging. Phenomena like the recent downfall in productivity, due to lockdowns and social distancing for prevention of health hazards during the COVID19 pandemic, only add to the problem. For these reasons, the relevance, motivation and intention for more automation in less standardized sectors has probably never been higher. However, available statistics say that providers and users of technologies struggle to bring more automation into action in automation-unfriendly sectors. In this paper, we present a decision support method for investment in automation that tackles the problem: the STIC analysis. The method takes a holistic and quantitative approach tying together technological, context-related and economic input parameters and synthetizing them in a final economic indicator. Thanks to the modelling of such parameters, it is possible to gain sensibility on the technological and/or process adjustments that would have the highest impact on the efficiency of the automation, thereby delivering value for both technology users and technology providers.
{"title":"The STIC Analysis: A Decision Support Method for Investments in Automation","authors":"M. Bonini, M. Mete, T. Nguyen, Augusto Urru, W. Echelmeyer","doi":"10.1109/IEEM50564.2021.9672880","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672880","url":null,"abstract":"Compared to the automotive sector, where automation is the rule, in many other less standardized sectors automation is still the exception. This could soon hurt the productivity of industrialized countries, where the unemployment is low and the population is aging. Phenomena like the recent downfall in productivity, due to lockdowns and social distancing for prevention of health hazards during the COVID19 pandemic, only add to the problem. For these reasons, the relevance, motivation and intention for more automation in less standardized sectors has probably never been higher. However, available statistics say that providers and users of technologies struggle to bring more automation into action in automation-unfriendly sectors. In this paper, we present a decision support method for investment in automation that tackles the problem: the STIC analysis. The method takes a holistic and quantitative approach tying together technological, context-related and economic input parameters and synthetizing them in a final economic indicator. Thanks to the modelling of such parameters, it is possible to gain sensibility on the technological and/or process adjustments that would have the highest impact on the efficiency of the automation, thereby delivering value for both technology users and technology providers.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"86 1","pages":"427-434"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75395077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672919
M. Tanwar, N. Raghavan, Sidra Khanam
Crankcase lubricating oil minimizes friction and wear. It reflects the condition of the components of the system through its physical properties, chemical properties, and contaminants. In the rail industry, its role is significant for locomotives as oil failure may lead to catastrophic system failure. In this paper, the authors consider oil replenishment quantity, replenishment periodicity, and oil degradation as the basis for oil reliability evaluation. The lubricating oil reliability is evaluated using a polygraph approach for chemical properties and contaminants, i.e., viscosity, insoluble, Total Base Number (TBN), and pH. Lubricating oil life cycle data is collected for five different locomotives. The performance parameters are then estimated, considering oil as repairable and non-repairable systems. A condition-based maintenance policy is derived based on the reliability assessment for the five locomotives.
{"title":"Condition Based Maintenance Policy for Crankcase Lubricating Oil in Diesel Locomotives","authors":"M. Tanwar, N. Raghavan, Sidra Khanam","doi":"10.1109/IEEM50564.2021.9672919","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672919","url":null,"abstract":"Crankcase lubricating oil minimizes friction and wear. It reflects the condition of the components of the system through its physical properties, chemical properties, and contaminants. In the rail industry, its role is significant for locomotives as oil failure may lead to catastrophic system failure. In this paper, the authors consider oil replenishment quantity, replenishment periodicity, and oil degradation as the basis for oil reliability evaluation. The lubricating oil reliability is evaluated using a polygraph approach for chemical properties and contaminants, i.e., viscosity, insoluble, Total Base Number (TBN), and pH. Lubricating oil life cycle data is collected for five different locomotives. The performance parameters are then estimated, considering oil as repairable and non-repairable systems. A condition-based maintenance policy is derived based on the reliability assessment for the five locomotives.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"37 1","pages":"1593-1598"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78334362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672895
Kun Xu, M. Zheng, X. Liu
In this paper, the vehicles choosing and routes planning problem in the urban food waste collection network is addressed. Considering service demands uncertainty and traversing costs uncertainty on roads, a bi-objective two-stage binary robust model is formulated to derive cost-effective and public-friendly strategies for collection vehicles. One objective is to minimize the worst-case total cost, while the other minimizes the environmental-disutility. A solution procedure based on the combination of the $epsilon$-constraint method and the modified column-and-constraint generation algorithm is developed to solve the model. A case study is finally performed to validate the effectiveness of the robust model and the solution procedure.
{"title":"A Two-stage Robust Model for Urban Food Waste Collection Network Under Uncertainty","authors":"Kun Xu, M. Zheng, X. Liu","doi":"10.1109/IEEM50564.2021.9672895","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672895","url":null,"abstract":"In this paper, the vehicles choosing and routes planning problem in the urban food waste collection network is addressed. Considering service demands uncertainty and traversing costs uncertainty on roads, a bi-objective two-stage binary robust model is formulated to derive cost-effective and public-friendly strategies for collection vehicles. One objective is to minimize the worst-case total cost, while the other minimizes the environmental-disutility. A solution procedure based on the combination of the $epsilon$-constraint method and the modified column-and-constraint generation algorithm is developed to solve the model. A case study is finally performed to validate the effectiveness of the robust model and the solution procedure.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"5 1","pages":"824-828"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78420905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672846
M. Bhardwaj, R. Agrawal
This research investigates the impact of pandemic COVID-19, on the perishable product supply chain (PPSC). Thematic analysis for the cause of failure in PPSC has been identified through the NVivo application. It examines the events that cause disruption. Secondly, fault tree methodology has adopted qualitative evaluation using the minimum cut set analysis and importance measures. A case study of the apple supply chain in Shimla, India has been included, collecting data from respondents, research papers, government reports, and newspaper articles published from the period March 2020 to December 2020. The occurrence of failure in the apple supply chain included crop yield loss, unavailability, and inaccessibility of apple products. After analysis, 13 minimum cut sets are obtained. These include critical failure event as: assistance in failure from government and organization, high food prices, labour shortage, and cross border restriction. Potential strategies for resilient PPSC have been proposed for an efficient decision-making process.
{"title":"Exploring Critical Events of Perishable Product Supply Chain Using Fault Tree Methodology to Deal with Impacts of COVID-19","authors":"M. Bhardwaj, R. Agrawal","doi":"10.1109/IEEM50564.2021.9672846","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672846","url":null,"abstract":"This research investigates the impact of pandemic COVID-19, on the perishable product supply chain (PPSC). Thematic analysis for the cause of failure in PPSC has been identified through the NVivo application. It examines the events that cause disruption. Secondly, fault tree methodology has adopted qualitative evaluation using the minimum cut set analysis and importance measures. A case study of the apple supply chain in Shimla, India has been included, collecting data from respondents, research papers, government reports, and newspaper articles published from the period March 2020 to December 2020. The occurrence of failure in the apple supply chain included crop yield loss, unavailability, and inaccessibility of apple products. After analysis, 13 minimum cut sets are obtained. These include critical failure event as: assistance in failure from government and organization, high food prices, labour shortage, and cross border restriction. Potential strategies for resilient PPSC have been proposed for an efficient decision-making process.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"260 1","pages":"148-152"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73050956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9673023
Jung-Ching Lin
The uncertainty of outcomes from innovation typically affects related decision-making in family firms. Innovation presents both opportunities for business growth and investment risks, and the relationship between family firms and innovation remains inconclusive. Moreover, the interplay between family firm ownership and control rights may result in agency problems. Ownership by family members can be regarded as a real option for family shareholders. Thus, we combine agency theory and the real option view to argue that ownership structure characteristics among family members in board affect innovation in family firms. Examination of the innovation behaviors of Taiwanese family firms reveals that ownership concentration among family board directors positively influences innovation in family firms. In addition, family board directors without personal ownership in the family firm are more supportive of innovation than those who have such ownership.
{"title":"To Support or Not to Support the Innovation? A Preliminary Study on the Effect of Family Ownership in Board on Innovation in Taiwan Family Firms","authors":"Jung-Ching Lin","doi":"10.1109/IEEM50564.2021.9673023","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673023","url":null,"abstract":"The uncertainty of outcomes from innovation typically affects related decision-making in family firms. Innovation presents both opportunities for business growth and investment risks, and the relationship between family firms and innovation remains inconclusive. Moreover, the interplay between family firm ownership and control rights may result in agency problems. Ownership by family members can be regarded as a real option for family shareholders. Thus, we combine agency theory and the real option view to argue that ownership structure characteristics among family members in board affect innovation in family firms. Examination of the innovation behaviors of Taiwanese family firms reveals that ownership concentration among family board directors positively influences innovation in family firms. In addition, family board directors without personal ownership in the family firm are more supportive of innovation than those who have such ownership.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"593-597"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73874531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9673086
Yotsuda Buranasing, M. Jongprasithporn, N. Yodpijit
The COVID-19 outbreak has affected business activities in many industries that can be disrupted by customer behavior. Logistics system plays the major role for response customer satisfaction. This research aims to develop logistics system in customer satisfaction context during COVID-19 situation in Thailand using Industry 4.0 principles. This paper presents the overview of Industry 4.0 and logistics system, the evaluation of customer satisfaction in logistics system during COVID-19 situation, and the applications of Industry 4.0 for logistics system in customer satisfaction context during COVID-19 situation. This study is conducted using focus group and interview with managers from large logistics service providers in Thailand. Results indicate that the use of Industry 4.0 technologies and the development of employees' skills are the potential solutions for reducing the effects of COVID-19 in logistics system. IoT, Cloud, and Big Data support all of customer satisfaction factors. It is also found that the use of appropriate Industry 4.0 technologies and the improvement of the logistics system are the critical aspects for enhancing business competitiveness during the COVID-19 pandemic.
{"title":"Applications of Industry 4.0 During COVID-19 Situation for Thailand's Logistics System in Customer Satisfaction Context","authors":"Yotsuda Buranasing, M. Jongprasithporn, N. Yodpijit","doi":"10.1109/IEEM50564.2021.9673086","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673086","url":null,"abstract":"The COVID-19 outbreak has affected business activities in many industries that can be disrupted by customer behavior. Logistics system plays the major role for response customer satisfaction. This research aims to develop logistics system in customer satisfaction context during COVID-19 situation in Thailand using Industry 4.0 principles. This paper presents the overview of Industry 4.0 and logistics system, the evaluation of customer satisfaction in logistics system during COVID-19 situation, and the applications of Industry 4.0 for logistics system in customer satisfaction context during COVID-19 situation. This study is conducted using focus group and interview with managers from large logistics service providers in Thailand. Results indicate that the use of Industry 4.0 technologies and the development of employees' skills are the potential solutions for reducing the effects of COVID-19 in logistics system. IoT, Cloud, and Big Data support all of customer satisfaction factors. It is also found that the use of appropriate Industry 4.0 technologies and the improvement of the logistics system are the critical aspects for enhancing business competitiveness during the COVID-19 pandemic.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"23 1","pages":"588-592"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73959886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9673022
K. H. Lee, J. H. Kim, H. M. Lee, C. Cha
The accurate measurement of erection ability of men is important for prognosis of urinary surgery as well as for mental health. However, conventional penile size measurement methods are less accurate, and the intervention of doctor or nurse in the process can cause the patient to feel sexual humiliated. In this paper, in order to measure the erection correctly, the condom type sensor is fabricated with resistive strain gauge using carbon black. The resistive strain gauge is fabricated on the latex condom by spraying the carbon black diluted with the water. In the fabrication process, the pre-stretching technique is also applied to increase the flexibility of the sensor. The performance of the sensor is measured through the experiment with digital multi meter.
{"title":"Carbon Black Based Resistive Strain Gauge Sensor for Penile Measurement","authors":"K. H. Lee, J. H. Kim, H. M. Lee, C. Cha","doi":"10.1109/IEEM50564.2021.9673022","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673022","url":null,"abstract":"The accurate measurement of erection ability of men is important for prognosis of urinary surgery as well as for mental health. However, conventional penile size measurement methods are less accurate, and the intervention of doctor or nurse in the process can cause the patient to feel sexual humiliated. In this paper, in order to measure the erection correctly, the condom type sensor is fabricated with resistive strain gauge using carbon black. The resistive strain gauge is fabricated on the latex condom by spraying the carbon black diluted with the water. In the fabrication process, the pre-stretching technique is also applied to increase the flexibility of the sensor. The performance of the sensor is measured through the experiment with digital multi meter.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"57 1","pages":"1363-1366"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74072860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672866
F. Alamsjah, M. Asrol
Indonesia consists of 17,000 islands, and this geographical condition presents unique supply chain challenges. Limited research has been conducted to study the impact of inter-island logistics on agile and supply chain performance. Therefore, this research is a pioneering study that analyzes the correlation between these variables. In addition, this research investigates the relationship of ambidextrous, agile, and lean supply chains to supply chain performance while examining the moderating effect of inter-island logistics. A theoretical design was developed to study the above relationship. As an initial analysis, hypotheses were tested with data from 34 manufacturing firms in Indonesia, using SmartPLS with 500 bootstrap samples. This research contributes to the supply chain management literature in three ways. First, it found that an agile supply chain mediates ambidextrous and lean supply chains to improve supply chain performance. Second, inter-island logistics, however, negatively moderates the relationship between an agile supply chain and supply chain performance. Finally, it strengthens the conceptual definition of the relationship between ambidextrous, lean, agile supply chains and supply chain performance.
{"title":"Inter-island Logistics and the Role of an Agile Supply Chain to Achieve Supply Chain Performance: Initial Findings","authors":"F. Alamsjah, M. Asrol","doi":"10.1109/IEEM50564.2021.9672866","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672866","url":null,"abstract":"Indonesia consists of 17,000 islands, and this geographical condition presents unique supply chain challenges. Limited research has been conducted to study the impact of inter-island logistics on agile and supply chain performance. Therefore, this research is a pioneering study that analyzes the correlation between these variables. In addition, this research investigates the relationship of ambidextrous, agile, and lean supply chains to supply chain performance while examining the moderating effect of inter-island logistics. A theoretical design was developed to study the above relationship. As an initial analysis, hypotheses were tested with data from 34 manufacturing firms in Indonesia, using SmartPLS with 500 bootstrap samples. This research contributes to the supply chain management literature in three ways. First, it found that an agile supply chain mediates ambidextrous and lean supply chains to improve supply chain performance. Second, inter-island logistics, however, negatively moderates the relationship between an agile supply chain and supply chain performance. Finally, it strengthens the conceptual definition of the relationship between ambidextrous, lean, agile supply chains and supply chain performance.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"23 1","pages":"270-274"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84568865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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