Pub Date : 2023-02-14DOI: 10.11648/j.ijber.20231201.15
Yujun Xiao, Can Tian, Jiangang Wu, Jiamei Luo
: Under the background of digital economy era, manufacturing enterprises are faced with complex and changeable economic environment, competitive market environment and policy environment for transformation and upgrading. In order to adapt to environmental development, maintain competitive advantages and achieve new value creation goals, it is necessary to cultivate and build appropriate digital capabilities, including digital opportunity identification and digital resource coordination. This paper takes resource reconstruction as a subdivision perspective, takes manufacturing enterprises as the research object
{"title":"Digital Capability and Business Model Innovation by Big Data Technology: The Mediating Role of Resource Reconfiguration","authors":"Yujun Xiao, Can Tian, Jiangang Wu, Jiamei Luo","doi":"10.11648/j.ijber.20231201.15","DOIUrl":"https://doi.org/10.11648/j.ijber.20231201.15","url":null,"abstract":": Under the background of digital economy era, manufacturing enterprises are faced with complex and changeable economic environment, competitive market environment and policy environment for transformation and upgrading. In order to adapt to environmental development, maintain competitive advantages and achieve new value creation goals, it is necessary to cultivate and build appropriate digital capabilities, including digital opportunity identification and digital resource coordination. This paper takes resource reconstruction as a subdivision perspective, takes manufacturing enterprises as the research object","PeriodicalId":38095,"journal":{"name":"International Journal of Economics and Business Research","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75205382","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 : 2023-02-14DOI: 10.11648/j.ijber.20231201.16
Can Tian, Jiangang Wu, Yujun Xiao
: As the core technology to lead the digital future and promote the industrial revolution, artificial intelligence (AI) technology can empower the whole chain of manufacturing enterprises, accelerate the fundamental transformation of production mode and enterprise form, guide enterprises to integrate artificial intelligence with green innovative technology, and improve energy efficiency. Based on the background of green transformation faced by the manufacturing industry, we discuss the mechanism of artificial intelligence to realize green innovation of enterprises through dynamic capabilities. AI orientation refers to the tendency and strategy of enterprises in introducing and applying AI technology. Based on the strategic management theory and the resource-based view, a questionnaire survey for manufacturing enterprises was conducted. Using regression analysis method to conduct empirical research on 204 valid questionnaire data, to test the hypothesis. The result shows that AI has a significant positive effect on the green innovation of enterprises. Both strategic sensing capacity and timely decision-making capacity positively affect the green innovation of enterprises. Strategic sensing capacity and timely decision-making capacity play a partial mediating role between AI and green innovation. AI gives the light to enterprise development to clarify the direction of progress of the production technology. Enterprises need to establish AI-orientated strategies in many aspects to realize green innovation and improve environmental performance.
{"title":"Research on Impact of Artificial Intelligence Orientation on Enterprise Green Innovation","authors":"Can Tian, Jiangang Wu, Yujun Xiao","doi":"10.11648/j.ijber.20231201.16","DOIUrl":"https://doi.org/10.11648/j.ijber.20231201.16","url":null,"abstract":": As the core technology to lead the digital future and promote the industrial revolution, artificial intelligence (AI) technology can empower the whole chain of manufacturing enterprises, accelerate the fundamental transformation of production mode and enterprise form, guide enterprises to integrate artificial intelligence with green innovative technology, and improve energy efficiency. Based on the background of green transformation faced by the manufacturing industry, we discuss the mechanism of artificial intelligence to realize green innovation of enterprises through dynamic capabilities. AI orientation refers to the tendency and strategy of enterprises in introducing and applying AI technology. Based on the strategic management theory and the resource-based view, a questionnaire survey for manufacturing enterprises was conducted. Using regression analysis method to conduct empirical research on 204 valid questionnaire data, to test the hypothesis. The result shows that AI has a significant positive effect on the green innovation of enterprises. Both strategic sensing capacity and timely decision-making capacity positively affect the green innovation of enterprises. Strategic sensing capacity and timely decision-making capacity play a partial mediating role between AI and green innovation. AI gives the light to enterprise development to clarify the direction of progress of the production technology. Enterprises need to establish AI-orientated strategies in many aspects to realize green innovation and improve environmental performance.","PeriodicalId":38095,"journal":{"name":"International Journal of Economics and Business Research","volume":"63 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83939919","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 : 2023-02-06DOI: 10.11648/j.ijber.20231201.14
Michael Kalu Mba, Olutope Olufunso Olorunfemi, Adeyemi Adebayo Adeboye, Valli Asabe Takaya, Mohammed Gana Mohammed, Amechi Henry Igweze, Lailah Sanusi Gumbi, Ogochukwu Gina Onumonu
: We employ the web-scraping technique and IMF residential property prices index methodology outlined in the latest RPPI practical compilation guide to compute the Nigeria’s Real Estate property Price Index (RPPI). The data was scraped from one of the largest real estate website in Nigeria hosting the largest real estate ads online. A total of 35,957 residential property sales ads comprising of 30,693 house and 5,264 flat/apartment listing from October 2021 to October 2022 was used for the study. A web scraping code was implemented in R-statistics to get the data. The asking price and other related information gotten from the website was used to compute the overall RPPI and its sub indices (for house and flats/apartments). The findings present the RPP national (total) index and sub-indices for the residential building (house) and residential flat/apartment. While the various data sources used in generating data for the RPPI computation have their advantages and disadvantages, the web scraping method provides a very timely approach, as data can be scraped almost immediately. This ensures timely policy decisions and implementation and also reduce the cost of survey tremendously if not totally. The study recommends the use of the web scraping technique in the generation of RPPI data to ensure timely policy decisions and internationally acceptable standard of RPPI compilation. With the web scraping approach to data collection, high frequency RPPI like monthly or weekly may be computed for the country.
{"title":"Residential Property Price Index in Nigeria: A Data Mining Approach","authors":"Michael Kalu Mba, Olutope Olufunso Olorunfemi, Adeyemi Adebayo Adeboye, Valli Asabe Takaya, Mohammed Gana Mohammed, Amechi Henry Igweze, Lailah Sanusi Gumbi, Ogochukwu Gina Onumonu","doi":"10.11648/j.ijber.20231201.14","DOIUrl":"https://doi.org/10.11648/j.ijber.20231201.14","url":null,"abstract":": We employ the web-scraping technique and IMF residential property prices index methodology outlined in the latest RPPI practical compilation guide to compute the Nigeria’s Real Estate property Price Index (RPPI). The data was scraped from one of the largest real estate website in Nigeria hosting the largest real estate ads online. A total of 35,957 residential property sales ads comprising of 30,693 house and 5,264 flat/apartment listing from October 2021 to October 2022 was used for the study. A web scraping code was implemented in R-statistics to get the data. The asking price and other related information gotten from the website was used to compute the overall RPPI and its sub indices (for house and flats/apartments). The findings present the RPP national (total) index and sub-indices for the residential building (house) and residential flat/apartment. While the various data sources used in generating data for the RPPI computation have their advantages and disadvantages, the web scraping method provides a very timely approach, as data can be scraped almost immediately. This ensures timely policy decisions and implementation and also reduce the cost of survey tremendously if not totally. The study recommends the use of the web scraping technique in the generation of RPPI data to ensure timely policy decisions and internationally acceptable standard of RPPI compilation. With the web scraping approach to data collection, high frequency RPPI like monthly or weekly may be computed for the country.","PeriodicalId":38095,"journal":{"name":"International Journal of Economics and Business Research","volume":"80 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83330359","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}
Sanayileşme süreci ile artan enerji tüketimi ve gelişen teknoloji birçok sorunu beraberinde getirmiştir. Özellikle artan sera gazı salınımının yol açtığı küresel ısınma ve çevre tahribatı insan sağlığını olumsuz yönde etkileyerek sağlık harcamalarının artmasına neden olmuştur. Bu doğrultuda çalışma, 1995-2018 dönemi için seçilmiş 10 OECD ülkesinde sera gazı salınımının ve kişi başı gelirin sağlık harcamaları üzerindeki etkisini araştırmayı amaçlamaktadır. Analizler için yatay kesit bağımlılığını dikkate alan “Westerlund (2007) ECM panel eşbütünleşme” testinden yararlanılmıştır. Elde edilen bulgular, kişi başı sağlık harcamaları, kişi başı gelir ve kişi başı karbondioksit emisyonu arasında uzun dönemli ilişkinin olduğunu göstermiştir. Ayrıca kişi başı gelirin kişi başı sağlık harcamaları üzerindeki etkisinin istatiksel olarak anlamlı olduğu; ancak karbondioksit emisyonu değişkeninin eşbütünleşme katsayısının istatiksel olarak anlamsız olduğu bulgusuna ulaşılmıştır.
{"title":"OECD ÜLKELERİNDE SERA GAZI SALINIMI VE SAĞLIK HARCAMALARI İLİŞKİSİ: YATAY KESİT BAĞIMLILIĞI ALTINDA PANEL VERİ ANALİZİ","authors":"Seyhan Taş, Dilek Atilgan, Tuba İspi̇r","doi":"10.53280/jer.1218749","DOIUrl":"https://doi.org/10.53280/jer.1218749","url":null,"abstract":"Sanayileşme süreci ile artan enerji tüketimi ve gelişen teknoloji birçok sorunu beraberinde getirmiştir. Özellikle artan sera gazı salınımının yol açtığı küresel ısınma ve çevre tahribatı insan sağlığını olumsuz yönde etkileyerek sağlık harcamalarının artmasına neden olmuştur. Bu doğrultuda çalışma, 1995-2018 dönemi için seçilmiş 10 OECD ülkesinde sera gazı salınımının ve kişi başı gelirin sağlık harcamaları üzerindeki etkisini araştırmayı amaçlamaktadır. Analizler için yatay kesit bağımlılığını dikkate alan “Westerlund (2007) ECM panel eşbütünleşme” testinden yararlanılmıştır. Elde edilen bulgular, kişi başı sağlık harcamaları, kişi başı gelir ve kişi başı karbondioksit emisyonu arasında uzun dönemli ilişkinin olduğunu göstermiştir. Ayrıca kişi başı gelirin kişi başı sağlık harcamaları üzerindeki etkisinin istatiksel olarak anlamlı olduğu; ancak karbondioksit emisyonu değişkeninin eşbütünleşme katsayısının istatiksel olarak anlamsız olduğu bulgusuna ulaşılmıştır.","PeriodicalId":38095,"journal":{"name":"International Journal of Economics and Business Research","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73223731","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}
Despite being home to both some of the world's fastest emerging markets and a number of the poorest. The East and Southern Africa region exhibits noticeably a variety of levels of economic development either nationally or internationally. The region never attracted enough attention from the economist and policymakers. As a result, the current study placed Eastern and Southern African nations under the microscope to explore the determinants of monetary and fiscal policy during the period from 1990 to 2020. In addition, to carry on with the empirical findings a quantile regression and generalized linear model were performed. The study's findings indicate that elements like tax revenue and exportation have a significant impact on monetary policy, whereas interest rates, the labor force, exports, imports, and tax revenue have a significant impact on fiscal policy. In conclusion, it is important to highlight that in Eastern and Southern Africa, macromicroeconomic factors appear to be affecting fiscal policy in contrast with the monetary policy, which is only influenced by exportation and tax revenue. The study advances empirical research in the field of economic development and offers information to decision-makers and the African community about how to manage monetary and fiscal policy in accordance with national needs.
{"title":"PARA VE MALİYE POLİTİKASININ BELİRLEYİCİLERİNİ BELİRLEMEK İÇİN DOĞU VE GÜNEY AFRİKA'NIN MERCİ ALTINA YERLEŞTİRİLMESİ","authors":"Sadık Aden Dirir","doi":"10.53280/jer.1201913","DOIUrl":"https://doi.org/10.53280/jer.1201913","url":null,"abstract":"Despite being home to both some of the world's fastest emerging markets and a number of the poorest. The East and Southern Africa region exhibits noticeably a variety of levels of economic development either nationally or internationally. The region never attracted enough attention from the economist and policymakers. As a result, the current study placed Eastern and Southern African nations under the microscope to explore the determinants of monetary and fiscal policy during the period from 1990 to 2020. In addition, to carry on with the empirical findings a quantile regression and generalized linear model were performed. The study's findings indicate that elements like tax revenue and exportation have a significant impact on monetary policy, whereas interest rates, the labor force, exports, imports, and tax revenue have a significant impact on fiscal policy. In conclusion, it is important to highlight that in Eastern and Southern Africa, macromicroeconomic factors appear to be affecting fiscal policy in contrast with the monetary policy, which is only influenced by exportation and tax revenue. The study advances empirical research in the field of economic development and offers information to decision-makers and the African community about how to manage monetary and fiscal policy in accordance with national needs.","PeriodicalId":38095,"journal":{"name":"International Journal of Economics and Business Research","volume":"229 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77072369","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 : 2023-01-17DOI: 10.11648/j.ijber.20231201.12
Huanzhou Hong
{"title":"Research on Evolutionary Game of Collaborative Innovation Among High - Tech Industries - From the Perspective of Trust Relationship","authors":"Huanzhou Hong","doi":"10.11648/j.ijber.20231201.12","DOIUrl":"https://doi.org/10.11648/j.ijber.20231201.12","url":null,"abstract":"","PeriodicalId":38095,"journal":{"name":"International Journal of Economics and Business Research","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74606377","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 : 2023-01-17DOI: 10.11648/j.ijber.20231201.13
Trinh Tran Thi Thuy, Long Le Phuoc Cuu
{"title":"A Study of the Impact of Social Media Marketing Efforts on Brand Awareness in the Real Estate Industry in Vietnam","authors":"Trinh Tran Thi Thuy, Long Le Phuoc Cuu","doi":"10.11648/j.ijber.20231201.13","DOIUrl":"https://doi.org/10.11648/j.ijber.20231201.13","url":null,"abstract":"","PeriodicalId":38095,"journal":{"name":"International Journal of Economics and Business Research","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80946402","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 : 2023-01-10DOI: 10.11648/j.ijber.20231201.11
Itoba Ongagna Ipaka Safnat Kaito, Zhang Ding Hai
{"title":"Application of the ARIMAX Model in Forecasting the Population Growth Rate of Congo B","authors":"Itoba Ongagna Ipaka Safnat Kaito, Zhang Ding Hai","doi":"10.11648/j.ijber.20231201.11","DOIUrl":"https://doi.org/10.11648/j.ijber.20231201.11","url":null,"abstract":"","PeriodicalId":38095,"journal":{"name":"International Journal of Economics and Business Research","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81968002","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 : 2023-01-01DOI: 10.1504/IJEBR.2022.10040749
Awatef Ourir, Essahbi Essaadi
{"title":"An analysis of Asia-Pacific regional integration: time-varying SVAR approach","authors":"Awatef Ourir, Essahbi Essaadi","doi":"10.1504/IJEBR.2022.10040749","DOIUrl":"https://doi.org/10.1504/IJEBR.2022.10040749","url":null,"abstract":"","PeriodicalId":38095,"journal":{"name":"International Journal of Economics and Business Research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66741879","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 : 2023-01-01DOI: 10.1504/ijebr.2023.10041882
L. Pacheco
: The relationship between gender and profitability in the context of Small and Medium Enterprises (SMEs) is a less studied topic in the broader context of performance determinants. Thus, the objective of this paper is to examine whether women’s leadership of the firms’ board of directors and senior management teams enhances financial performance. Contributing to fill this research gap and based on the agency and stakeholder theories, it is used a balanced panel data of 4.806 Portuguese SMEs for the period from 2010 to 2019. The results from the random-effects model evidence the absence of a broad significant relationship, albeit with some slight evidence of a negative relation, moderated by firm age and present in some specific sectors of activity. Given the SMEs importance in the majority of countries, the results and implications of this paper can be generalized to other economies.
{"title":"The impact of gender on financial performance: Evidence for Portuguese SMEs","authors":"L. Pacheco","doi":"10.1504/ijebr.2023.10041882","DOIUrl":"https://doi.org/10.1504/ijebr.2023.10041882","url":null,"abstract":": The relationship between gender and profitability in the context of Small and Medium Enterprises (SMEs) is a less studied topic in the broader context of performance determinants. Thus, the objective of this paper is to examine whether women’s leadership of the firms’ board of directors and senior management teams enhances financial performance. Contributing to fill this research gap and based on the agency and stakeholder theories, it is used a balanced panel data of 4.806 Portuguese SMEs for the period from 2010 to 2019. The results from the random-effects model evidence the absence of a broad significant relationship, albeit with some slight evidence of a negative relation, moderated by firm age and present in some specific sectors of activity. Given the SMEs importance in the majority of countries, the results and implications of this paper can be generalized to other economies.","PeriodicalId":38095,"journal":{"name":"International Journal of Economics and Business Research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66743066","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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