Pub Date : 2022-06-30DOI: 10.57044/samr.2022.1.1.2201
S. Abdullah
This researcher aimed to identify the relationship between lean production, modern technology, technology integration, and supply chain performance. A quantitative approach was adopted for this study with a multi-item measurement scale adapted from previous studies to collect primary data—a total of 100 responses were collected. Descriptive analysis, along with the correlation examination, was utilized to test the hypothesis. It was observed that hypotheses H1 and H2 were supported, whereas hypothesis H3 was rejected. The findings from the analysis identified that there is a significant relationship between lean manufacturing on the performance of the supply chain in the fertilizer industry. It is found that lean manufacturing can efficiently overcome supply chain challenges and improve efficiency, leading to improved overall performance. Further, the technology integration in SCM processes must be studied and analyzed. The businesses are recommended to develop further strategies to integrate technology into the SCM process and improve productivity and performance.
{"title":"Lean Manufacturing and Supply Chain Performance","authors":"S. Abdullah","doi":"10.57044/samr.2022.1.1.2201","DOIUrl":"https://doi.org/10.57044/samr.2022.1.1.2201","url":null,"abstract":"This researcher aimed to identify the relationship between lean production, modern technology, technology integration, and supply chain performance. A quantitative approach was adopted for this study with a multi-item measurement scale adapted from previous studies to collect primary data—a total of 100 responses were collected. Descriptive analysis, along with the correlation examination, was utilized to test the hypothesis. It was observed that hypotheses H1 and H2 were supported, whereas hypothesis H3 was rejected. The findings from the analysis identified that there is a significant relationship between lean manufacturing on the performance of the supply chain in the fertilizer industry. It is found that lean manufacturing can efficiently overcome supply chain challenges and improve efficiency, leading to improved overall performance. Further, the technology integration in SCM processes must be studied and analyzed. The businesses are recommended to develop further strategies to integrate technology into the SCM process and improve productivity and performance.","PeriodicalId":278037,"journal":{"name":"South Asian Management Review","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133347904","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 : 2022-06-30DOI: 10.57044/samr.2022.1.1.2206
A. Basit
This study examines the influence of green supply chain management on sustainable performance. The natural resource-based theory was tested on manufacturing firms in Karachi, Pakistan. A quantitative approach was adopted for this study, and a multi-item measurement scale was adapted from previous studies. A structured questionnaire was developed to collect primary data—the total number of 224 responses collected from textile manufacturing firms. Structural equation modeling was applied for hypothesis testing. The findings supported three hypotheses with positive and significant results, whereas two were rejected. This research study can be helpful for supply chain managers and decision-makers. It gives them guidance for enhancing sustainability performance. It provides a framework for manufacturing firms to enhance environmental sustainability to reduce global warming and nature destruction.
{"title":"The Influence of Green Supply Chain Management on Sustainable Performance","authors":"A. Basit","doi":"10.57044/samr.2022.1.1.2206","DOIUrl":"https://doi.org/10.57044/samr.2022.1.1.2206","url":null,"abstract":"This study examines the influence of green supply chain management on sustainable performance. The natural resource-based theory was tested on manufacturing firms in Karachi, Pakistan. A quantitative approach was adopted for this study, and a multi-item measurement scale was adapted from previous studies. A structured questionnaire was developed to collect primary data—the total number of 224 responses collected from textile manufacturing firms. Structural equation modeling was applied for hypothesis testing. The findings supported three hypotheses with positive and significant results, whereas two were rejected. This research study can be helpful for supply chain managers and decision-makers. It gives them guidance for enhancing sustainability performance. It provides a framework for manufacturing firms to enhance environmental sustainability to reduce global warming and nature destruction.","PeriodicalId":278037,"journal":{"name":"South Asian Management Review","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128099302","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 : 2022-06-30DOI: 10.57044/samr.2022.1.1.2204
M. Muzammil
This study aimed to develop a theoretical framework to identify and evaluate the factors that improve organizational performance as several ways to increase operational performance have been introduced. The survey in this paper comprised 111 respondents who were drawn from various organizations across Pakistan. The deductive approach followed by the quantitative research method was used to test the study hypotheses through IBM SPSS version 22.0 as a statistical tool. Data analysis was performed by evaluating the regression model. The findings demonstrate that all the hypotheses were supported and significantly contributed to organizational performance. Further, this study will help practitioners to identify and shape their businesses for enhanced organizational performance. Future research can be done on the other factors that could influence organizational performance and can be tested using other research techniques.
{"title":"Evaluating the Factors to Improve the Organizational Performance","authors":"M. Muzammil","doi":"10.57044/samr.2022.1.1.2204","DOIUrl":"https://doi.org/10.57044/samr.2022.1.1.2204","url":null,"abstract":"This study aimed to develop a theoretical framework to identify and evaluate the factors that improve organizational performance as several ways to increase operational performance have been introduced. The survey in this paper comprised 111 respondents who were drawn from various organizations across Pakistan. The deductive approach followed by the quantitative research method was used to test the study hypotheses through IBM SPSS version 22.0 as a statistical tool. Data analysis was performed by evaluating the regression model. The findings demonstrate that all the hypotheses were supported and significantly contributed to organizational performance. Further, this study will help practitioners to identify and shape their businesses for enhanced organizational performance. Future research can be done on the other factors that could influence organizational performance and can be tested using other research techniques.","PeriodicalId":278037,"journal":{"name":"South Asian Management Review","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115689427","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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