JIEM: Journal of Industrial Engineering and Management
http://hdl.handle.net/2099/5774
2024-03-29T07:27:25ZDriving supply chain performance through digital HRM: The mediating role of green orientation and the moderating role of green innovation
http://hdl.handle.net/2117/404848
Driving supply chain performance through digital HRM: The mediating role of green orientation and the moderating role of green innovation
Setyaningrum, Retno Purwani; Muafi, Muafi; Purnamasari, Pupung; Nuraeni, Nuraeni; Hermiati, Novi Fitria
Design/Methodology: This study involved supply chain managers in manufacturing companies in DKI Jakarta and West Java Provinces, Indonesia. The reason is that these two provinces had many manufacturing companies and were two of the largest industrial cities in Southeast Asia. Based on the survey conducted, there were 160 questionnaires distributed. However, the data that meets the requirements is 145 and can be processed further. This study used the Structural Equation Model (SEM) analysis technique using Partial Least Square. Findings: This study has confirmed a number of findings including: (1) Digital HRM had a positive and significant influence on SC performance, (2) Digital HRM had a positive and significant influence on green orientation, (3) Green Orientation had no positive and significant influence on SC performance, (4) ) Green Orientation did not mediate the effect of Digital HRM on SC performance, (5) Green Innovation had a positive and significant influence on green orientation and Green Innovation did not moderate the influence of digital HRM on SC performance. Research Limitation/Implications: This study only focuses on the scope of Digital Human Resource Management (DHRM) on Supply Chain Performance (SCP). The mediating role of Green Orientation and the moderating role of Green Innovation in research findings did not have a significant contribution. The next study is expected to examine the concept of digital HRM which is not only oriented towards green orientation and green innovation in manufacturing companies. Other considerations are needed such as digital entrepreneurship, digital business and digital skills which are currently developing in the world and even in Indonesia. This is because Digital entrepreneurship, digital business and digital skills are one of the supporters of economic growth and company performance in a sustainable manner. Managerial Implication: This study is expected to be a reference for practitioners, especially in the field of Digital Human Resource Management (DHRM) on Supply Chain Performance (SCP). Furthermore, the concept of digital HRM by organizations can be used as an effective alternative in continuously improving SC performance in manufacturing companies in Indonesia. Theoretical Implication: The findings of this research provide a theoretical contribution related to the pattern of relationship between digital HRM and SC performance, although green orientation did not mediate the pattern of relationship between digital HRM and SC performance, likewise, green innovation did not mediate the pattern of relationship between digital HRM and SC performance. However, these two aspects can be an important focus in this research and must be considered for further research. Originality/Value: This study has originality because it examines the role of digital HRM on SC performance which is still very rarely researched especially when it is associated with the mediating role of green orientation and green innovation
2024-03-18T13:59:49ZSetyaningrum, Retno PurwaniMuafi, MuafiPurnamasari, PupungNuraeni, NuraeniHermiati, Novi FitriaDesign/Methodology: This study involved supply chain managers in manufacturing companies in DKI Jakarta and West Java Provinces, Indonesia. The reason is that these two provinces had many manufacturing companies and were two of the largest industrial cities in Southeast Asia. Based on the survey conducted, there were 160 questionnaires distributed. However, the data that meets the requirements is 145 and can be processed further. This study used the Structural Equation Model (SEM) analysis technique using Partial Least Square. Findings: This study has confirmed a number of findings including: (1) Digital HRM had a positive and significant influence on SC performance, (2) Digital HRM had a positive and significant influence on green orientation, (3) Green Orientation had no positive and significant influence on SC performance, (4) ) Green Orientation did not mediate the effect of Digital HRM on SC performance, (5) Green Innovation had a positive and significant influence on green orientation and Green Innovation did not moderate the influence of digital HRM on SC performance. Research Limitation/Implications: This study only focuses on the scope of Digital Human Resource Management (DHRM) on Supply Chain Performance (SCP). The mediating role of Green Orientation and the moderating role of Green Innovation in research findings did not have a significant contribution. The next study is expected to examine the concept of digital HRM which is not only oriented towards green orientation and green innovation in manufacturing companies. Other considerations are needed such as digital entrepreneurship, digital business and digital skills which are currently developing in the world and even in Indonesia. This is because Digital entrepreneurship, digital business and digital skills are one of the supporters of economic growth and company performance in a sustainable manner. Managerial Implication: This study is expected to be a reference for practitioners, especially in the field of Digital Human Resource Management (DHRM) on Supply Chain Performance (SCP). Furthermore, the concept of digital HRM by organizations can be used as an effective alternative in continuously improving SC performance in manufacturing companies in Indonesia. Theoretical Implication: The findings of this research provide a theoretical contribution related to the pattern of relationship between digital HRM and SC performance, although green orientation did not mediate the pattern of relationship between digital HRM and SC performance, likewise, green innovation did not mediate the pattern of relationship between digital HRM and SC performance. However, these two aspects can be an important focus in this research and must be considered for further research. Originality/Value: This study has originality because it examines the role of digital HRM on SC performance which is still very rarely researched especially when it is associated with the mediating role of green orientation and green innovationDevelopment of workplace design framework for manufacturing small and medium-sized enterprises in Indonesia
http://hdl.handle.net/2117/404838
Development of workplace design framework for manufacturing small and medium-sized enterprises in Indonesia
Herwanto, Dene; Suzianti, Amalia
Purpose: This study aims to develop a workplace design framework suitable for manufacturing SMEs in developing countries, particularly in Indonesia, as a guide for manufacturing SME managers. Design/methodology/approach: The development of workplace design framework in this study was initiated by reviewing the literature on the methodology or framework of workplace design in the manufacturing industry. The methodology or framework of workplace design was then analysed and evaluated based on the characteristics of SMEs to determine the possibility of its implementation in Indonesian manufacturing SMEs. Based on the analysis and evaluation results, a workplace design framework then proposed to assist SME managers in designing their workplaces. Findings: Two of the five workplace design frameworks introduced by previous researchers have many conformities with the characteristics of manufacturing SMEs in Indonesia and can be implemented with minor adjustments. Finally, a workplace design framework has been developt and proposed to assist managers of manufacturing SMEs in Indonesia in designing their workplaces. Research limitations/implications: This study offers a workplace design framework that can be applied by managers of manufacturing SMEs in designing their workplaces to obtain a safe, healthy and productive workplace. Originality/value: This study is the first in developing a workplace design framework for manufacturing SMEs in developing countries, particularly Indonesia. The results of this study will be able to assist manufacturing SME managers in designing their workplace
2024-03-18T13:23:01ZHerwanto, DeneSuzianti, AmaliaPurpose: This study aims to develop a workplace design framework suitable for manufacturing SMEs in developing countries, particularly in Indonesia, as a guide for manufacturing SME managers. Design/methodology/approach: The development of workplace design framework in this study was initiated by reviewing the literature on the methodology or framework of workplace design in the manufacturing industry. The methodology or framework of workplace design was then analysed and evaluated based on the characteristics of SMEs to determine the possibility of its implementation in Indonesian manufacturing SMEs. Based on the analysis and evaluation results, a workplace design framework then proposed to assist SME managers in designing their workplaces. Findings: Two of the five workplace design frameworks introduced by previous researchers have many conformities with the characteristics of manufacturing SMEs in Indonesia and can be implemented with minor adjustments. Finally, a workplace design framework has been developt and proposed to assist managers of manufacturing SMEs in Indonesia in designing their workplaces. Research limitations/implications: This study offers a workplace design framework that can be applied by managers of manufacturing SMEs in designing their workplaces to obtain a safe, healthy and productive workplace. Originality/value: This study is the first in developing a workplace design framework for manufacturing SMEs in developing countries, particularly Indonesia. The results of this study will be able to assist manufacturing SME managers in designing their workplaceEffectiveness of the use of open-ended questions in student evaluation of teaching in an engineering degree
http://hdl.handle.net/2117/404831
Effectiveness of the use of open-ended questions in student evaluation of teaching in an engineering degree
Aznar Mas, Lourdes E.; Atarés Huerta, Lorena; Marin Garcia, Juan Antonio
Purpose: The purpose of our research is to show the point of view of the members of the Board concerning advantages, disadvantages and effectiveness of open ended questions used as a complement to closed response questionnaires. Design/methodology/approach: In this paper, we will describe a pilot experience carried out at a Spanish public university where a short questionnaire with open ended questions was launched, and students were invited to comment on their perception of the teaching received. Findings: The response return rate (about 35%) was relatively high compared to other online closed response questionnaires delivered. Moreover, the students’ comments provided valuable information which made the members of the Board of the Engineering Degree chosen reflect. Their reflection was evidence based and led to initiatives and actions to improve the quality of teaching, as well as to get an extensive view of the Degree. Practical implications: Findings reveal that the information retrieved can also be used in multiple ways such as formative feedback or even for improvement of courses and instruction. Originality/value: Student evaluation of teaching is a powerful tool for continuous teaching improvement but the information provided by conventional closed response questionnaires may not be sufficient
2024-03-18T12:45:44ZAznar Mas, Lourdes E.Atarés Huerta, LorenaMarin Garcia, Juan AntonioPurpose: The purpose of our research is to show the point of view of the members of the Board concerning advantages, disadvantages and effectiveness of open ended questions used as a complement to closed response questionnaires. Design/methodology/approach: In this paper, we will describe a pilot experience carried out at a Spanish public university where a short questionnaire with open ended questions was launched, and students were invited to comment on their perception of the teaching received. Findings: The response return rate (about 35%) was relatively high compared to other online closed response questionnaires delivered. Moreover, the students’ comments provided valuable information which made the members of the Board of the Engineering Degree chosen reflect. Their reflection was evidence based and led to initiatives and actions to improve the quality of teaching, as well as to get an extensive view of the Degree. Practical implications: Findings reveal that the information retrieved can also be used in multiple ways such as formative feedback or even for improvement of courses and instruction. Originality/value: Student evaluation of teaching is a powerful tool for continuous teaching improvement but the information provided by conventional closed response questionnaires may not be sufficientSupply chain disruptions and resilience in manufacturing industry during covid-19: Additive manufacturing intervention in perspective
http://hdl.handle.net/2117/404806
Supply chain disruptions and resilience in manufacturing industry during covid-19: Additive manufacturing intervention in perspective
Dzogbewu, Thywill Cephas; Jnr, Sampson Afrifa; Amoah, Nathaniel; Koranteng Fianko, Samuel; Imdaadulah, Adam; de Beer, Deon Johan
Purpose: This paper examined supply chain disruptions in the manufacturing industry in South Africa and how additive manufacturing technology was used to help deal with disruptions encountered. Design/methodology/approach: The study adopted a qualitative research approach in order to meet the objectives of the study. A total of ten (10) managers of conventional manufacturing firms and ten (10) managers of 3D printing firms in Free State, South Africa participated in the study through the use of a purposive sampling technique. Interview guides were used in the collection of data. Data transcriptions and thematic analysis were used to analyze data gathered from the interviews. Findings: The results of the study showed that 3D printing contributed positively in dealing with manufacturing disruptions that were encountered by manufacturing firms in Free State, South Africa through the production of components and spare parts that were broken down in manufacturing machinery/plants. From the study, the researchers recommend that 3D printing technology should be adopted by manufacturing firms because of its practicality in providing manufacturing support and production continuity even in supply chain disruptive experiences caused by pandemics such as Covid-19. Originality/value: The study proves that due to the versatility of the 3D printing technology it could be used to minimize the effect of supply chain disruption during cries such as the Covid-19 pandemic. One of the unique contributions of the current study is the realization that additive manufacturing was not of much relevance to the generic supply chain challenges encountered in supply chain activiteis, but rather very relevant in helping to prevent disruptions of the manufacturing process by improvising spare parts at the peak of the Covid-19 pandemic
2024-03-18T11:22:55ZDzogbewu, Thywill CephasJnr, Sampson AfrifaAmoah, NathanielKoranteng Fianko, SamuelImdaadulah, Adamde Beer, Deon JohanPurpose: This paper examined supply chain disruptions in the manufacturing industry in South Africa and how additive manufacturing technology was used to help deal with disruptions encountered. Design/methodology/approach: The study adopted a qualitative research approach in order to meet the objectives of the study. A total of ten (10) managers of conventional manufacturing firms and ten (10) managers of 3D printing firms in Free State, South Africa participated in the study through the use of a purposive sampling technique. Interview guides were used in the collection of data. Data transcriptions and thematic analysis were used to analyze data gathered from the interviews. Findings: The results of the study showed that 3D printing contributed positively in dealing with manufacturing disruptions that were encountered by manufacturing firms in Free State, South Africa through the production of components and spare parts that were broken down in manufacturing machinery/plants. From the study, the researchers recommend that 3D printing technology should be adopted by manufacturing firms because of its practicality in providing manufacturing support and production continuity even in supply chain disruptive experiences caused by pandemics such as Covid-19. Originality/value: The study proves that due to the versatility of the 3D printing technology it could be used to minimize the effect of supply chain disruption during cries such as the Covid-19 pandemic. One of the unique contributions of the current study is the realization that additive manufacturing was not of much relevance to the generic supply chain challenges encountered in supply chain activiteis, but rather very relevant in helping to prevent disruptions of the manufacturing process by improvising spare parts at the peak of the Covid-19 pandemicStatistical analysis of stoppages in a metal stamping line: a case study
http://hdl.handle.net/2117/404803
Statistical analysis of stoppages in a metal stamping line: a case study
Rodríguez Alvarado, Lisaura; Silva Rivera, Usiel; Loyo Quijada, Jesús
Purpose: This article seeks to establish a statistical analysis to estimate the time of stoppages in a stamping line, which have a high variability that generates an unreliable scenario for the production program. Likewise, this document shows the methodological sequence to carry out a statistical analysis in a case study at an industrial level, considering variables of a real scenario. Design/methodology/approach: The methodological sequence is divided into five stages. Initially, the information of the stamping process was collected, later the types of stoppage were categorized according to the characteristics of the process. A collection of historical data information on stoppage times was carried out. With the information collected, the percentage frequency of occurrence of stops due to tool changes and incidents in the process was determined, and they were characterized by a Weibull distribution. Finally, to verify the effectiveness of the downtime behavior, a model was developed to simulate the availability of the stamping line in the Vensim Ple ® program. Findings: The model showed that the frequency analysis and the Weibull distribution obtained a similar behavior to reality. The study verified that it is necessary to establish a categorization of the characteristics of the downtimes, according to the characteristics of the pieces produced to evaluate the information, in this way, the times of change by tooling were established through a frequency of use and the stoppages by additional incidences to the process were better. Research limitations/implications: The basis for this study is the reliability of the information, especially in the data record. It has the disadvantage that the bias of the analyst is present when the information is recorded and analyzed. Practical implications: The methodology presented in this article is a reference for industrial applications in which it is required to establish improvement scenarios based on the reduction of stoppages present in the production lines. Originality/value: The importance of this study is that it was possible to establish a suitable workload allocation in the presses to optimize production
2024-03-18T11:08:54ZRodríguez Alvarado, LisauraSilva Rivera, UsielLoyo Quijada, JesúsPurpose: This article seeks to establish a statistical analysis to estimate the time of stoppages in a stamping line, which have a high variability that generates an unreliable scenario for the production program. Likewise, this document shows the methodological sequence to carry out a statistical analysis in a case study at an industrial level, considering variables of a real scenario. Design/methodology/approach: The methodological sequence is divided into five stages. Initially, the information of the stamping process was collected, later the types of stoppage were categorized according to the characteristics of the process. A collection of historical data information on stoppage times was carried out. With the information collected, the percentage frequency of occurrence of stops due to tool changes and incidents in the process was determined, and they were characterized by a Weibull distribution. Finally, to verify the effectiveness of the downtime behavior, a model was developed to simulate the availability of the stamping line in the Vensim Ple ® program. Findings: The model showed that the frequency analysis and the Weibull distribution obtained a similar behavior to reality. The study verified that it is necessary to establish a categorization of the characteristics of the downtimes, according to the characteristics of the pieces produced to evaluate the information, in this way, the times of change by tooling were established through a frequency of use and the stoppages by additional incidences to the process were better. Research limitations/implications: The basis for this study is the reliability of the information, especially in the data record. It has the disadvantage that the bias of the analyst is present when the information is recorded and analyzed. Practical implications: The methodology presented in this article is a reference for industrial applications in which it is required to establish improvement scenarios based on the reduction of stoppages present in the production lines. Originality/value: The importance of this study is that it was possible to establish a suitable workload allocation in the presses to optimize productionSupply chain risk model for cement industry based on interpretive structural model driven by FMEA
http://hdl.handle.net/2117/404801
Supply chain risk model for cement industry based on interpretive structural model driven by FMEA
Sangode, Pallawi Baldeo
Purpose: This paper aims to identify, analyze, model the risk elements in the supply chain and further set future trends to evaluate risks in other domains of cement manufacturing industry. Cement is the second most consumed material in the world, has a fast supply chain in the global market. This has driven the authors to study the supply chain risks for this sector. Design/methodology/approach: Through a detailed literature review and interaction with industry experts, 19 risk elements have been identified that may disrupt the supply chain activities. Failure Mode and Effect Analysis (FMEA) is used to prioritize these risk elements based on the risk priority number (RPN). RPN is derived from the severity, occurrence, and detectability of these risk elements in various process functions of the supply chain. 10 risk elements are selected from this analysis that have higher priority number. Further, these elements have been fed to the Interpretive Structural Model (ISM) that derived the contextual interrelationship among these elements. Further MICMAC analysis has been implemented on the risk elements based on their driving and dependency power. Findings: Unpredicted heavy rainfall and energy shortages have been identified as the root causes of other risk elements. Increasing turnaround time in logistics and fleet adjustment during heavy demand, having the highest dependence power, are considered as the most important risk elements in the cement industry supply chain. Originality/value: This is the first study in the domain of supply chain risks which has analyzed and modelled risks for cement industry. This work would provide the decision-makers of cement industry to focus on the specific risk elements for reducing disruptions in the supply chain
2024-03-18T10:51:44ZSangode, Pallawi BaldeoPurpose: This paper aims to identify, analyze, model the risk elements in the supply chain and further set future trends to evaluate risks in other domains of cement manufacturing industry. Cement is the second most consumed material in the world, has a fast supply chain in the global market. This has driven the authors to study the supply chain risks for this sector. Design/methodology/approach: Through a detailed literature review and interaction with industry experts, 19 risk elements have been identified that may disrupt the supply chain activities. Failure Mode and Effect Analysis (FMEA) is used to prioritize these risk elements based on the risk priority number (RPN). RPN is derived from the severity, occurrence, and detectability of these risk elements in various process functions of the supply chain. 10 risk elements are selected from this analysis that have higher priority number. Further, these elements have been fed to the Interpretive Structural Model (ISM) that derived the contextual interrelationship among these elements. Further MICMAC analysis has been implemented on the risk elements based on their driving and dependency power. Findings: Unpredicted heavy rainfall and energy shortages have been identified as the root causes of other risk elements. Increasing turnaround time in logistics and fleet adjustment during heavy demand, having the highest dependence power, are considered as the most important risk elements in the cement industry supply chain. Originality/value: This is the first study in the domain of supply chain risks which has analyzed and modelled risks for cement industry. This work would provide the decision-makers of cement industry to focus on the specific risk elements for reducing disruptions in the supply chainPallet loading optimization considering storage time and relative humidity
http://hdl.handle.net/2117/395278
Pallet loading optimization considering storage time and relative humidity
Almasarwah, Najat; Abdelall, Esraa; Suer, Gursel; Egilmez, Gokhan; Singh, Manjeet; Ramadan, Saleem
Purpose: This paper studies a 3-dimensional pallet loading problem considering interlock stacking pattern, box dimensions, humidity, and storage time, where overlapping and overhanging are not allowed. Despite the importance of this problem in the literature, our work provides the first method that considers the environmental conditions such as 1) storage time and 2) humidity, and their tremendous impacts on the strength of the boxes, as has been observed widely in the DHL supply chain. Design/methodology/approach: This paper proposes a two-phase heuristic algorithm to solve a 3-dimensional pallet loading problem under real conditions (relative humidity, and storage time) considering interlock stacking patterns, where overlapping and overhanging are not allowed. In phase 1, the horizontal layer configuration is determined by block techniques. Three types of horizontal layers are created based on box dimensions perpendicular to the base. In phase 2, a novel mathematical model is propounded to improve the pallet volume utilization, and stability considering the pallet's maximum allowable height and weight, and the dynamic compression strength of boxes. The dynamic compression strength of boxes is calculated by the modified McKee formula. Two performance measures, pallet volume utilization and stability (load height), are utilized to evaluate the performance of the proposed heuristic algorithm in real-world instances (DHL Supply Chain). Findings: The results illustrated that the dynamic compression strength of boxes decreases as the relative humidity and storage time increase. The load height changes dynamically along with box dimensions, box alignment, direction, relative humidity, and storage time. Increasing relative humidity and storage time and applying an interlock stacking pattern reduce the pallet utilization, however, enhance the pallet stability. Finally, the proposed heuristic algorithm's efficacy increases as the identical boxes dimensions' heterogeneity increases. Originality/value: It is believed in the supply chain where these characteristics are observed, the implementation of the heuristic algorithm will help them improve the pallet volume utilization and stability
2023-10-23T13:02:07ZAlmasarwah, NajatAbdelall, EsraaSuer, GurselEgilmez, GokhanSingh, ManjeetRamadan, SaleemPurpose: This paper studies a 3-dimensional pallet loading problem considering interlock stacking pattern, box dimensions, humidity, and storage time, where overlapping and overhanging are not allowed. Despite the importance of this problem in the literature, our work provides the first method that considers the environmental conditions such as 1) storage time and 2) humidity, and their tremendous impacts on the strength of the boxes, as has been observed widely in the DHL supply chain. Design/methodology/approach: This paper proposes a two-phase heuristic algorithm to solve a 3-dimensional pallet loading problem under real conditions (relative humidity, and storage time) considering interlock stacking patterns, where overlapping and overhanging are not allowed. In phase 1, the horizontal layer configuration is determined by block techniques. Three types of horizontal layers are created based on box dimensions perpendicular to the base. In phase 2, a novel mathematical model is propounded to improve the pallet volume utilization, and stability considering the pallet's maximum allowable height and weight, and the dynamic compression strength of boxes. The dynamic compression strength of boxes is calculated by the modified McKee formula. Two performance measures, pallet volume utilization and stability (load height), are utilized to evaluate the performance of the proposed heuristic algorithm in real-world instances (DHL Supply Chain). Findings: The results illustrated that the dynamic compression strength of boxes decreases as the relative humidity and storage time increase. The load height changes dynamically along with box dimensions, box alignment, direction, relative humidity, and storage time. Increasing relative humidity and storage time and applying an interlock stacking pattern reduce the pallet utilization, however, enhance the pallet stability. Finally, the proposed heuristic algorithm's efficacy increases as the identical boxes dimensions' heterogeneity increases. Originality/value: It is believed in the supply chain where these characteristics are observed, the implementation of the heuristic algorithm will help them improve the pallet volume utilization and stabilityFactor analysis of dynamic capabilities on public health centers operation performance
http://hdl.handle.net/2117/395276
Factor analysis of dynamic capabilities on public health centers operation performance
Perdana, Riky; Kartini, Dwi; Azis, Yudi; Kaltum, Umi
Purpose: The purpose of this study was to determine how the variables of supply chain performance, performance of medical personnel, and occupancy overload affect operating performance moderated by dynamic capability variables. In a case study of public health center in Indonesia. Design/methodology/approach: This study uses the SEM-PLS quantitative method to analyze the questionnaire data obtained from 112 respondents consisting of medical administrators, nurses, and doctors. Validity and reliability tests were also used to ensure that the data were normally distributed and reliable. Findings: This study found that the supply chain performance variable and the performance of medical personnel had a positive effect on the operational performance of the public health center either through moderating the dynamic capability variable or not. Meanwhile, occupancy overload was found to have a negative effect on the operational performance of the public health center. And the moderating of the dynamic capability variable is only able to reduce its negative impact. Research limitations/implications: This study covers only a small number of public health center in Indonesia, so it is quite difficult to produce generalizable findings. This study also did not involve other internal and external variables that could potentially affect the operational performance of the public health center. Practical implications: The findings of this study can be a suggestion for the government and the management of the public health center to pay more attention to the variables that affect the operational performance of the public health center. Variables that have a positive impact should be increased and variables that have a negative impact should be mitigated. Social implications: Health centers that have effective and efficient operating management will be able to maximize the performance of patient services armed with available resources. The findings of this study can help the public health center to anticipate a surge in patient visits which can reduce the operating performance of the public health center. Originality/value: This study combines the variables of supply chain performance, medical personnel performance, occupancy overload, dynamic capability, and operating performance in one causality model framework. In contrast to other studies that did it separately
2023-10-23T12:49:53ZPerdana, RikyKartini, DwiAzis, YudiKaltum, UmiPurpose: The purpose of this study was to determine how the variables of supply chain performance, performance of medical personnel, and occupancy overload affect operating performance moderated by dynamic capability variables. In a case study of public health center in Indonesia. Design/methodology/approach: This study uses the SEM-PLS quantitative method to analyze the questionnaire data obtained from 112 respondents consisting of medical administrators, nurses, and doctors. Validity and reliability tests were also used to ensure that the data were normally distributed and reliable. Findings: This study found that the supply chain performance variable and the performance of medical personnel had a positive effect on the operational performance of the public health center either through moderating the dynamic capability variable or not. Meanwhile, occupancy overload was found to have a negative effect on the operational performance of the public health center. And the moderating of the dynamic capability variable is only able to reduce its negative impact. Research limitations/implications: This study covers only a small number of public health center in Indonesia, so it is quite difficult to produce generalizable findings. This study also did not involve other internal and external variables that could potentially affect the operational performance of the public health center. Practical implications: The findings of this study can be a suggestion for the government and the management of the public health center to pay more attention to the variables that affect the operational performance of the public health center. Variables that have a positive impact should be increased and variables that have a negative impact should be mitigated. Social implications: Health centers that have effective and efficient operating management will be able to maximize the performance of patient services armed with available resources. The findings of this study can help the public health center to anticipate a surge in patient visits which can reduce the operating performance of the public health center. Originality/value: This study combines the variables of supply chain performance, medical personnel performance, occupancy overload, dynamic capability, and operating performance in one causality model framework. In contrast to other studies that did it separatelyClassification of industrial sectors based on their profiles of greenhouse gas emissions and policy implications
http://hdl.handle.net/2117/395275
Classification of industrial sectors based on their profiles of greenhouse gas emissions and policy implications
Retegi Albisua, Jabier; Igartua López, Juan Ignacio; Kamp, Bart
Purpose: This article reports on a study of greenhouse gases emitted by industrial manufacturing sectors and gives insights into the appropriate orientation of emission reduction public programmes for better efficiency. Design/methodology/approach: For this study, a classification of industrial manufacturing sectors based on their greenhouse gas emissions profiles was performed. Using economic data on the consumption of energy sources and a conversion process to obtain an estimation of greenhouse gas emissions, a profile of the direct/indirect emissions, concentration of emissions, total emissions and electrification level of each sector was developed. Finally, the sectors were segmented into four groups. Findings: The emissions profile of each of the identified sector segments features specific characteristics; therefore, public programmes promoting greenhouse gas reduction should be specific to each segment. Special attention should be given to the segment that features a large amount of emissions concentrated in a relatively low number of firms and a low level of electrification but appears to use public funds disproportionate to their emissions. Research limitations/implications: Due to the lack of data, some big emitter sectors, such as extractive industries and petroleum refining industries, are not included in the study. Practical implications: Public programmes should consider different approaches to reducing greenhouse gas emissions based on sectoral segmentation. General projects are proposed for each of the identified segments. Social implications: Improved public programmes should foster the reduction of greenhouse gas emissions and the United Nation’s Sustainable Development Goals 7 and 12. Originality/value: The methodology proposed in this paper allows research to go beyond consideration of the local emissions of an industry to measure its direct and indirect emissions and focus on the firms that should invest in reducing them
2023-10-23T12:34:37ZRetegi Albisua, JabierIgartua López, Juan IgnacioKamp, BartPurpose: This article reports on a study of greenhouse gases emitted by industrial manufacturing sectors and gives insights into the appropriate orientation of emission reduction public programmes for better efficiency. Design/methodology/approach: For this study, a classification of industrial manufacturing sectors based on their greenhouse gas emissions profiles was performed. Using economic data on the consumption of energy sources and a conversion process to obtain an estimation of greenhouse gas emissions, a profile of the direct/indirect emissions, concentration of emissions, total emissions and electrification level of each sector was developed. Finally, the sectors were segmented into four groups. Findings: The emissions profile of each of the identified sector segments features specific characteristics; therefore, public programmes promoting greenhouse gas reduction should be specific to each segment. Special attention should be given to the segment that features a large amount of emissions concentrated in a relatively low number of firms and a low level of electrification but appears to use public funds disproportionate to their emissions. Research limitations/implications: Due to the lack of data, some big emitter sectors, such as extractive industries and petroleum refining industries, are not included in the study. Practical implications: Public programmes should consider different approaches to reducing greenhouse gas emissions based on sectoral segmentation. General projects are proposed for each of the identified segments. Social implications: Improved public programmes should foster the reduction of greenhouse gas emissions and the United Nation’s Sustainable Development Goals 7 and 12. Originality/value: The methodology proposed in this paper allows research to go beyond consideration of the local emissions of an industry to measure its direct and indirect emissions and focus on the firms that should invest in reducing themA simple and efficient method to allocate costs and benefits in energy communities
http://hdl.handle.net/2117/395272
A simple and efficient method to allocate costs and benefits in energy communities
Gonzalez Asenjo, David; Izquierdo, Luis R.; Sedano, Javier
Purpose: Define a simple and efficient method to allocate costs and benefits in energy communities, and characterize some of its key properties. Design/methodology/approach: The approach is theoretical. We define an algorithm to allocate costs and benefits in energy communities, and derive some of its formal properties using mathematical reasoning. We also compare the proposed algorithm with several alternatives. Findings: The proposed algorithm is simple and it ensures that the resulting distribution of costs and benefits is (i) beneficial for every member of the community, (ii) efficient, (iii) fair (in a formally defined sense), (iv) smooth (small changes in the consumption or in the generation of energy cannot lead to big changes in the allocation of costs and benefits), and (v) environmentally friendly in the sense that the individual allocated cost is a strictly increasing function of individual consumption. Research limitations/implications: The properties of the proposed algorithm are satisfied for a specific type of energy community that is defined in the manuscript. Practical implications: The algorithm is easy to implement in any energy community. Social implications: The algorithm is highly relevant for any community of prosumers who are willing to exchange energy internally. It guarantees a number of desirable properties that are formally defined in the paper. Originality/value: We prove that a simple algorithm to allocate costs and benefits in energy communities guarantees the fulfilment of several desirable properties
2023-10-23T12:09:41ZGonzalez Asenjo, DavidIzquierdo, Luis R.Sedano, JavierPurpose: Define a simple and efficient method to allocate costs and benefits in energy communities, and characterize some of its key properties. Design/methodology/approach: The approach is theoretical. We define an algorithm to allocate costs and benefits in energy communities, and derive some of its formal properties using mathematical reasoning. We also compare the proposed algorithm with several alternatives. Findings: The proposed algorithm is simple and it ensures that the resulting distribution of costs and benefits is (i) beneficial for every member of the community, (ii) efficient, (iii) fair (in a formally defined sense), (iv) smooth (small changes in the consumption or in the generation of energy cannot lead to big changes in the allocation of costs and benefits), and (v) environmentally friendly in the sense that the individual allocated cost is a strictly increasing function of individual consumption. Research limitations/implications: The properties of the proposed algorithm are satisfied for a specific type of energy community that is defined in the manuscript. Practical implications: The algorithm is easy to implement in any energy community. Social implications: The algorithm is highly relevant for any community of prosumers who are willing to exchange energy internally. It guarantees a number of desirable properties that are formally defined in the paper. Originality/value: We prove that a simple algorithm to allocate costs and benefits in energy communities guarantees the fulfilment of several desirable properties