Purpose: This study examined the performance of food and beverage industries in Tanzania in terms of productive and technical efficiency. The specific objectives of the study were to evaluate the productive efficiency performance of food and beverage industries in Tanzania, to determine the level and trend of efficiency of food and beverage of food and beverage industry in Tanzania, and to assess the levels of productive efficiency performance in the food and beverage subsectors in Tanzania
Methodology: The study used secondary data to achieve its objectives. The study employed a Panel data analysis technique using 40 companies in the manufacturing sector over a period of three years, 2018-2020. A stochastic frontier production model was applied using a linearized Translog production function to determine the performance elasticity coefficients of inputs and technical efficiency. The study used production theory advanced by Koutsoyiannis (1979) to explain the relatonship between input and output factors.
Findings: One of the key findings was that the level and trend of efficiency in food and beverage industry demonstrated an upward trend for the period between 2018 and 2020 as evidenced by the changes in average in both food and beverage sub-sector which grew from 0.776 in 2018 to 0.7557 in 2019 and finally to 0.7746 in 2020. Another finding of the study was that, the individual productive efficiency distribution between food and beverage sub-sector revealed that beverage sub-sector performs much better than food sub-sectors, with an average technical efficiency of 77.85% and 81.36% for both food and beverage sub-sectors, respectively.
Unique Contribution to Theory, Practice and Policy: The study’s unique contributions to theory include its assessment of efficiency levels, analysis of efficiency trends, and exploration of sector-specific variations. Its practical contributions encompass policy recommendations, guidance on modernization and technology adoption, and the importance of skills development and export promotion. These insights have direct implications for policymakers, industry stakeholders, and practitioners in Tanzania's food and beverage sector, aiding in the formulation of effective strategies to enhance efficiency and competitiveness.
The study recommends that the government and other stakeholders comes up with policy reforms to address the underlying factors contributing to the underutilization of each firm’s production capacity. This includes reforming the input market in the manufacturing sector in order to increase the level of efficiency to 100%. There should be establishment of an efficient marketing mechanism that reduces the involvement of many parties in the supply chain and hence high transaction costs.
{"title":"Efficiency Analysis of the Food and Beverage Industry in Tanzania: A Comparative Analysis","authors":"Veneranda Lufano, Gabriel Kirori, Rose Mugiira","doi":"10.47604/ijecon.2119","DOIUrl":"https://doi.org/10.47604/ijecon.2119","url":null,"abstract":"Purpose: This study examined the performance of food and beverage industries in Tanzania in terms of productive and technical efficiency. The specific objectives of the study were to evaluate the productive efficiency performance of food and beverage industries in Tanzania, to determine the level and trend of efficiency of food and beverage of food and beverage industry in Tanzania, and to assess the levels of productive efficiency performance in the food and beverage subsectors in Tanzania
 Methodology: The study used secondary data to achieve its objectives. The study employed a Panel data analysis technique using 40 companies in the manufacturing sector over a period of three years, 2018-2020. A stochastic frontier production model was applied using a linearized Translog production function to determine the performance elasticity coefficients of inputs and technical efficiency. The study used production theory advanced by Koutsoyiannis (1979) to explain the relatonship between input and output factors.
 Findings: One of the key findings was that the level and trend of efficiency in food and beverage industry demonstrated an upward trend for the period between 2018 and 2020 as evidenced by the changes in average in both food and beverage sub-sector which grew from 0.776 in 2018 to 0.7557 in 2019 and finally to 0.7746 in 2020. Another finding of the study was that, the individual productive efficiency distribution between food and beverage sub-sector revealed that beverage sub-sector performs much better than food sub-sectors, with an average technical efficiency of 77.85% and 81.36% for both food and beverage sub-sectors, respectively.
 Unique Contribution to Theory, Practice and Policy: The study’s unique contributions to theory include its assessment of efficiency levels, analysis of efficiency trends, and exploration of sector-specific variations. Its practical contributions encompass policy recommendations, guidance on modernization and technology adoption, and the importance of skills development and export promotion. These insights have direct implications for policymakers, industry stakeholders, and practitioners in Tanzania's food and beverage sector, aiding in the formulation of effective strategies to enhance efficiency and competitiveness.
 The study recommends that the government and other stakeholders comes up with policy reforms to address the underlying factors contributing to the underutilization of each firm’s production capacity. This includes reforming the input market in the manufacturing sector in order to increase the level of efficiency to 100%. There should be establishment of an efficient marketing mechanism that reduces the involvement of many parties in the supply chain and hence high transaction costs.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135959929","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 : 2023-09-17DOI: 10.34104/ijma.023.0074090
Ever since the commercialization of the Internet in the '90s, technology has been evolving faster than ever with the advent of cloud computing, social media, ubiquitous mobile devices, the Internet of Things (IoT), blockchain, and more. A staggering number of three billion internet users, five billion mobile users, and six billion devices are now connected through this massive global network of networks, facilitating customer information exchange and interaction never before seen in history. Driven by recent technological advances in computing power, big data, high-speed internet connection, and easier access to models built with advanced algorithms, Artificial Intelligence (AI) is the next wave of innovation, which has already come into widespread awareness in the consumer world with the emergence of virtual assistants and chatbots (e.g., Amazon's Alexa, Apple's Siri, Google's Assistant), image recognition (e.g., Facebook Photos, Google ImageNet), personalized recommendations (e.g., Netflix, Amazon) and autonomous driving (e.g., Tesla, Google Waymo). This qualitative research study intends to learn about the impact of AI on customer relationship management (CRM), specifically in the area of customer service of problem resolution. Most prior research focuses on the AI technologies leveraged in CRM systems, such as machine learning, natural language processing, voice recognition, chatbots, data analytics, and cloud infrastructure. Few extant studies have used a qualitative research methodology to gather data from industry experts to truly understand the impact of AI technologies on customer relationship management, especially in the area of customer service and problem resolution. This study aims to fill this research gap. This research contributes to the literature on AI in the context of CRM and is of value to both academics and practitioners as it provides a detailed analysis and documentation of the impact of AI on the customer service domain.
{"title":"The Impact of Artificial Intelligence (AI) on Customer Relationship Management: A Qualitative Study","authors":"","doi":"10.34104/ijma.023.0074090","DOIUrl":"https://doi.org/10.34104/ijma.023.0074090","url":null,"abstract":"Ever since the commercialization of the Internet in the '90s, technology has been evolving faster than ever with the advent of cloud computing, social media, ubiquitous mobile devices, the Internet of Things (IoT), blockchain, and more. A staggering number of three billion internet users, five billion mobile users, and six billion devices are now connected through this massive global network of networks, facilitating customer information exchange and interaction never before seen in history. Driven by recent technological advances in computing power, big data, high-speed internet connection, and easier access to models built with advanced algorithms, Artificial Intelligence (AI) is the next wave of innovation, which has already come into widespread awareness in the consumer world with the emergence of virtual assistants and chatbots (e.g., Amazon's Alexa, Apple's Siri, Google's Assistant), image recognition (e.g., Facebook Photos, Google ImageNet), personalized recommendations (e.g., Netflix, Amazon) and autonomous driving (e.g., Tesla, Google Waymo). This qualitative research study intends to learn about the impact of AI on customer relationship management (CRM), specifically in the area of customer service of problem resolution. Most prior research focuses on the AI technologies leveraged in CRM systems, such as machine learning, natural language processing, voice recognition, chatbots, data analytics, and cloud infrastructure. Few extant studies have used a qualitative research methodology to gather data from industry experts to truly understand the impact of AI technologies on customer relationship management, especially in the area of customer service and problem resolution. This study aims to fill this research gap. This research contributes to the literature on AI in the context of CRM and is of value to both academics and practitioners as it provides a detailed analysis and documentation of the impact of AI on the customer service domain.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135303865","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 : 2023-08-08DOI: 10.34104/ijma.023.0066073
This paper aims to measure and identify the determinants of financial stability of conventional commercial banks of Bangladesh listed on the Dhaka Stock Exchange. In the first step, the researcher calculates an accounting-based Z-score to measure the financial stability of the 23 sample banks over the period 2013-2022. In the second phase of the study, panel data regression analysis is conducted to identify the bank-specific determinants of financial stability. The exogenous variables include return on asset, income diversity, bank size, non-performing loan liquidity, capital adequacy, and management efficiency. The endogenous variable is the financial stability measured by z-score. The study provides empirical evidence of the bank-specific factors affecting the solvency of conventional commercial banks in Bangladesh.
{"title":"Using the Z-score to analyze the Financial Stability of Conventional Commercial Banks in Bangladesh","authors":"","doi":"10.34104/ijma.023.0066073","DOIUrl":"https://doi.org/10.34104/ijma.023.0066073","url":null,"abstract":"This paper aims to measure and identify the determinants of financial stability of conventional commercial banks of Bangladesh listed on the Dhaka Stock Exchange. In the first step, the researcher calculates an accounting-based Z-score to measure the financial stability of the 23 sample banks over the period 2013-2022. In the second phase of the study, panel data regression analysis is conducted to identify the bank-specific determinants of financial stability. The exogenous variables include return on asset, income diversity, bank size, non-performing loan liquidity, capital adequacy, and management efficiency. The endogenous variable is the financial stability measured by z-score. The study provides empirical evidence of the bank-specific factors affecting the solvency of conventional commercial banks in Bangladesh.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78449173","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 : 2023-07-30DOI: 10.38203/jiem.023.2.0065
Bilame Odass
Domestic investment is a key component of the economic growth of any country. In recent years, the growth of domestic investment has not been optimistic. This study aims at analyzing the factors affecting domestic investment in Tanzania. Time-series data of the 1980- 2020 period is used to empirically analyse the performance of the domestic investment. The study applies the Error Correction Model (ECM) to estimate the parameters. Factors affecting domestic investment in Tanzania are critically analysed. The factors influencing domestic investment includes money supply, interest rate, savings rate, and government expenditure. The regression results of this study show that government expenditure is insignificant in influencing domestic investment while money supply, interest rate, and savings rate are statistically significant. To this end, measures that influence domestic investment are indeed called for, implying a need for policies that can control interest rates, savings rates, and money supply . This paper recommends putting in place a conducive environment that could accelerate financial intermediation and domestic savings mobilization in order to improve domestic investment. Furthermore, the study suggests the encouragement of investment incentives and the establishment of vibrant investment promotion agencies.
{"title":"Performance of domestic investment in Tanzania: an empirical analysis over the 1980 – 2020 period","authors":"Bilame Odass","doi":"10.38203/jiem.023.2.0065","DOIUrl":"https://doi.org/10.38203/jiem.023.2.0065","url":null,"abstract":"Domestic investment is a key component of the economic growth of any country. In recent years, the growth of domestic investment has not been optimistic. This study aims at analyzing the factors affecting domestic investment in Tanzania. Time-series data of the 1980- 2020 period is used to empirically analyse the performance of the domestic investment. The study applies the Error Correction Model (ECM) to estimate the parameters. Factors affecting domestic investment in Tanzania are critically analysed. The factors influencing domestic investment includes money supply, interest rate, savings rate, and government expenditure. The regression results of this study show that government expenditure is insignificant in influencing domestic investment while money supply, interest rate, and savings rate are statistically significant. To this end, measures that influence domestic investment are indeed called for, implying a need for policies that can control interest rates, savings rates, and money supply . This paper recommends putting in place a conducive environment that could accelerate financial intermediation and domestic savings mobilization in order to improve domestic investment. Furthermore, the study suggests the encouragement of investment incentives and the establishment of vibrant investment promotion agencies.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90666735","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 : 2023-07-30DOI: 10.38203/jiem.023.2.0066
Binh Nguyen Thi, Hương Trần Mai, Trang Hoàng Thị Đoan, L. Nguyen, Y. T. Nguyen
This study aims to examine factors influencing global value chain position of enterprises from main industry sectors of Vietnam. In order to attain such objectives, the panel data analysis was conducted based on 208 observations from 52 enterprises in the automobile production and assembly, electronics and textile industries during the 2016 to 2020 period. The multiple linear regression model is utilized to analyse the factors influencing the participation of such industry sectors in the global value chain. The results indicate that technological capability has the most significant positive influence on the participation of Vietnamese enterprises in the global value chain, followed by FDI and business size. In contrast, the factor of business age does not seem to have a discernible effect. These findings bring some policy implications on the improvement of the country's position in the global value chain, focusing on selected industries including automotive, electronics and textile.
{"title":"Factors influencing the participation of Vietnamese enterprises in global value chains: insights from automobile production and assembly, electronics and textile industries","authors":"Binh Nguyen Thi, Hương Trần Mai, Trang Hoàng Thị Đoan, L. Nguyen, Y. T. Nguyen","doi":"10.38203/jiem.023.2.0066","DOIUrl":"https://doi.org/10.38203/jiem.023.2.0066","url":null,"abstract":"This study aims to examine factors influencing global value chain position of enterprises from main industry sectors of Vietnam. In order to attain such objectives, the panel data analysis was conducted based on 208 observations from 52 enterprises in the automobile production and assembly, electronics and textile industries during the 2016 to 2020 period. The multiple linear regression model is utilized to analyse the factors influencing the participation of such industry sectors in the global value chain. The results indicate that technological capability has the most significant positive influence on the participation of Vietnamese enterprises in the global value chain, followed by FDI and business size. In contrast, the factor of business age does not seem to have a discernible effect. These findings bring some policy implications on the improvement of the country's position in the global value chain, focusing on selected industries including automotive, electronics and textile.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77215119","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 : 2023-07-30DOI: 10.38203/jiem.023.2.0067
Van Mung Ho, Hong Manh Pham, Van Dung Dinh
This study aims to determine factors affecting incomes of poor ethnic minority households in the Khanh Vinh district, Khanh Hoa province. Through survey data of ethnic minority households in Khanh Vinh district, this study used an econometric model to analyze the influence of factors on the incomes of ethnic minority households in the area. The research results found that the factors having the impact on the incomes of ethnic minority households in this area include: ethnic characteristics, household size, number of livelihood activities, leisure time during the year, and time to access productive land. The results of this study provide more empirical evidence in the study on factors affecting the income of ethnic minority households in Vietnam in general and in Khanh Hoa province in particular. By detailed analysis the factors affecting the income of ethnic minority households in Khanh Vinh district, Khanh Hoa province, the study enriches the literature on poverty and livelihoods in ethinic minority household’s community and provides useful information for policymakers and practitioners in designing effective programs to improve household incomes and develop sustainable livelihoods for ethnic minority households in this area.
{"title":"Factors affecting incomes of ethnic minority households: a case study in Khanh Vinh district, Khanh Hoa province","authors":"Van Mung Ho, Hong Manh Pham, Van Dung Dinh","doi":"10.38203/jiem.023.2.0067","DOIUrl":"https://doi.org/10.38203/jiem.023.2.0067","url":null,"abstract":"This study aims to determine factors affecting incomes of poor ethnic minority households in the Khanh Vinh district, Khanh Hoa province. Through survey data of ethnic minority households in Khanh Vinh district, this study used an econometric model to analyze the influence of factors on the incomes of ethnic minority households in the area. The research results found that the factors having the impact on the incomes of ethnic minority households in this area include: ethnic characteristics, household size, number of livelihood activities, leisure time during the year, and time to access productive land. The results of this study provide more empirical evidence in the study on factors affecting the income of ethnic minority households in Vietnam in general and in Khanh Hoa province in particular. By detailed analysis the factors affecting the income of ethnic minority households in Khanh Vinh district, Khanh Hoa province, the study enriches the literature on poverty and livelihoods in ethinic minority household’s community and provides useful information for policymakers and practitioners in designing effective programs to improve household incomes and develop sustainable livelihoods for ethnic minority households in this area.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89430780","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 : 2023-07-30DOI: 10.38203/jiem.023.2.0068
Thi Mai Chi Nguyen, M. P. Tran, Le Nhu Y Nguyen, Hien Hai Huynh
This research analyzes the factors that affect resilience after natural disasters of 997 households in rural areas of Vietnam in 2008, 2010, 2012, 2014, and 2016 by using logistic regression. The research results show that factors such as receiving timely warnings related to natural disasters, not taking measures to respond to natural disasters, and putting trust in the community will improve resilience after natural disasters. If the household head is of Kinh ethnicity and participates in community organizations, the response capacity whenever a disaster occurs is higher, and vice versa. Additionally, household heads not responding to natural disasters, instead receiving support from their relatives and friends and borrowing capital positively affect resilience capacity after one year since the disaster. In cases where Kinh women are household heads and join social communities, the resilience capacity after one year also increases. Besides, the research suggests some solutions to develop resilience capacity, which focus on the relationship between characteristics of households, household heads, and disaster response with the resilience capacity of rural households in Vietnam. Finally, this research proposes some suitable policies to improve resilience capacity in Vietnamese rural areas.
{"title":"The factors impact to resilience capacity after natural disasters of rural households in Vietnam","authors":"Thi Mai Chi Nguyen, M. P. Tran, Le Nhu Y Nguyen, Hien Hai Huynh","doi":"10.38203/jiem.023.2.0068","DOIUrl":"https://doi.org/10.38203/jiem.023.2.0068","url":null,"abstract":"This research analyzes the factors that affect resilience after natural disasters of 997 households in rural areas of Vietnam in 2008, 2010, 2012, 2014, and 2016 by using logistic regression. The research results show that factors such as receiving timely warnings related to natural disasters, not taking measures to respond to natural disasters, and putting trust in the community will improve resilience after natural disasters. If the household head is of Kinh ethnicity and participates in community organizations, the response capacity whenever a disaster occurs is higher, and vice versa. Additionally, household heads not responding to natural disasters, instead receiving support from their relatives and friends and borrowing capital positively affect resilience capacity after one year since the disaster. In cases where Kinh women are household heads and join social communities, the resilience capacity after one year also increases. Besides, the research suggests some solutions to develop resilience capacity, which focus on the relationship between characteristics of households, household heads, and disaster response with the resilience capacity of rural households in Vietnam. Finally, this research proposes some suitable policies to improve resilience capacity in Vietnamese rural areas.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77715462","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 : 2023-07-30DOI: 10.38203/jiem.023.2.0070
Thu Hien Bui, Thi Minh Phuong Tran, T. Lê, Thi Kim Anh Tran, Tuan Duc Bui, Sinbandhit Sinmanolack
In recent years, the number of publications related to entrepreneurship education (EE) has increased rapidly. This change requires a systematic review and evaluate the trends, changes and development of this subject. Based on the bibliometric analysis, this paper investigates 1782 EE-related documents published between 1977 and 2022 from Scopus database to assess the growth trajectory of publications, most cited papers, key authors, most prolific countries, and institutions. The results show an explosive growth in the academic literature on EE in the last decade. In addition, results of bibliographic coupling of documents and co-occurrence of authors’ keywords analyses reveal three main schools of thought in EE research including EE in higher education, EE and entrepreneurial intention, and motivation of EE. The paper contributes to the existing literature by providing a comprehensive picture of EE. More importantly, the study calls for more research on the relationship between EE and big data, EE and self-efficacy, and EE and deep learning.
{"title":"Forty-five years of research on entrepreneurship education: a review and bibliometric analysis from Scopus dataset","authors":"Thu Hien Bui, Thi Minh Phuong Tran, T. Lê, Thi Kim Anh Tran, Tuan Duc Bui, Sinbandhit Sinmanolack","doi":"10.38203/jiem.023.2.0070","DOIUrl":"https://doi.org/10.38203/jiem.023.2.0070","url":null,"abstract":"In recent years, the number of publications related to entrepreneurship education (EE) has increased rapidly. This change requires a systematic review and evaluate the trends, changes and development of this subject. Based on the bibliometric analysis, this paper investigates 1782 EE-related documents published between 1977 and 2022 from Scopus database to assess the growth trajectory of publications, most cited papers, key authors, most prolific countries, and institutions. The results show an explosive growth in the academic literature on EE in the last decade. In addition, results of bibliographic coupling of documents and co-occurrence of authors’ keywords analyses reveal three main schools of thought in EE research including EE in higher education, EE and entrepreneurial intention, and motivation of EE. The paper contributes to the existing literature by providing a comprehensive picture of EE. More importantly, the study calls for more research on the relationship between EE and big data, EE and self-efficacy, and EE and deep learning.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89105910","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 : 2023-07-30DOI: 10.38203/jiem.023.2.0069
T. Bui, M. Tran, T. A. Vũ
This paper aims to develop a scale for hard-life experiences through the psychological sense. Hardship in the past is a factor that has impacted the cognition, stress, or resilience of individuals, and could be applied in many research areas, such as psychology, health, behavior, and decision-making in organizations. Learning about hard-life experiences is one aspect of longitudinal studies on the historical life of key leaders, who are business owners, crucial managers, and entrepreneurs focusing on the traumatic feeling during lifetime living from childhood to adulthood. A total of 149 key leaders who are business owners, crucial managers, and entrepreneurs in Vietnam responded to a survey. Structural equation modeling investigated the validity and reliability of hard-life experience measurement scales with two coherent constructs. The findings of this research discovered two sub-scales chronic and acute hard-life experiences to measure key leaders’ hardship during their lifetime, equivalenting for the period of childhood up to adolescence, and the adult period of individual key leaders essentially. A major contribution of this study is that it adds a significant new benchmark to a growing body of literature on the experiences of business owners, crucial managers, and entrepreneurs. Scholars can later use this scale to investigate relationships between hard-life experience factors and others by quantitative methods.
{"title":"Measurement of hard-life experiences through the psychological sense: the SEM approach","authors":"T. Bui, M. Tran, T. A. Vũ","doi":"10.38203/jiem.023.2.0069","DOIUrl":"https://doi.org/10.38203/jiem.023.2.0069","url":null,"abstract":"This paper aims to develop a scale for hard-life experiences through the psychological sense. Hardship in the past is a factor that has impacted the cognition, stress, or resilience of individuals, and could be applied in many research areas, such as psychology, health, behavior, and decision-making in organizations. Learning about hard-life experiences is one aspect of longitudinal studies on the historical life of key leaders, who are business owners, crucial managers, and entrepreneurs focusing on the traumatic feeling during lifetime living from childhood to adulthood. A total of 149 key leaders who are business owners, crucial managers, and entrepreneurs in Vietnam responded to a survey. Structural equation modeling investigated the validity and reliability of hard-life experience measurement scales with two coherent constructs. The findings of this research discovered two sub-scales chronic and acute hard-life experiences to measure key leaders’ hardship during their lifetime, equivalenting for the period of childhood up to adolescence, and the adult period of individual key leaders essentially. A major contribution of this study is that it adds a significant new benchmark to a growing body of literature on the experiences of business owners, crucial managers, and entrepreneurs. Scholars can later use this scale to investigate relationships between hard-life experience factors and others by quantitative methods.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84518990","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}
Purpose: Coffee is one of the most important agricultural commodities with a significant contribution to the growth and well-functioning of Ethiopia’s economy, and to the livelihoods of millions of smallholder farmers and laborers. Despite its importance, smallholder coffee production and marketing performance have been unsatisfactory due to various reasons. The introduction of voluntary coffee certification schemes such as Fairtrade (FT) and Organic (Org) certification schemes through cooperatives are viewed as mechanisms to overcome the constraints smallholder farmers face in accessing high value coffee markets and earn better income. However, the impacts of these schemes on the livelihoods of smallholder farmers were not analyzed yet. The main purpose of this study was to estimate the impact of joining (FT, Org or dual FT-Org) certified coffee cooperatives on gross annual incomes earned by member farmers. Methodology: The study employed cross-sectional data collected from randomly selected sample smallholder coffee farmers through a semi-structured questionnaire. Descriptive and simple inferential statistical tests (e.g., frequency, percentage, mean, t-and chi2-tests), and PSM methods were employed to analyze the data. Findings: Results of the descriptive statistics depict that 234 (62.07%) of the total 377 samples farmers were members of certified coffee marketing cooperatives. Among the cooperative members, 83 (35.47%), 84 (35.90%) and 67 (28.63%) were members of FT, Org and dual FT-Org certified coffee marketing cooperatives, respectively. The results of the binary probit model however show that the decisions to join certified coffee marketing cooperatives was significantly influenced by sex, marital status, total livestock holding size, total coffee land size (ha), log total quantity of coffee produced (kg), credit access, and walking distances to development agent’s office, coffee marketing center and all-weather road in minutes, respectively. The PSM analysis results show that membership to certified coffee marketing cooperatives has a positive and significant impact on average annual gross income (ETB) earned. The average gross annual income earned by coop member farmers was ETB 14639.15, which is by 36.51% higher than their counterpart non-coop member farmers. The difference is statistically significant at 1% probability level. Unique Contribution to Theory, Practice and Policy: The study recommended that Cooperatives should be encouraged to establish credit and saving units in their internal structure and/or work in collaboration with other saving and credit providing institutions (such as Cooperative Bank of Oromia) to be able to provide demand-driven credit services to member farmers.
{"title":"Impact of Membership to Certified Coffee Marketing Cooperatives on the Income of Smallholder Farmers in Jimma Zone of Oromia Region, Ethiopia","authors":"Zewdu Getachew, F. Beyene, J. Haji, T. Lemma","doi":"10.47604/ijecon.2047","DOIUrl":"https://doi.org/10.47604/ijecon.2047","url":null,"abstract":"Purpose: Coffee is one of the most important agricultural commodities with a significant contribution to the growth and well-functioning of Ethiopia’s economy, and to the livelihoods of millions of smallholder farmers and laborers. Despite its importance, smallholder coffee production and marketing performance have been unsatisfactory due to various reasons. The introduction of voluntary coffee certification schemes such as Fairtrade (FT) and Organic (Org) certification schemes through cooperatives are viewed as mechanisms to overcome the constraints smallholder farmers face in accessing high value coffee markets and earn better income. However, the impacts of these schemes on the livelihoods of smallholder farmers were not analyzed yet. The main purpose of this study was to estimate the impact of joining (FT, Org or dual FT-Org) certified coffee cooperatives on gross annual incomes earned by member farmers. \u0000Methodology: The study employed cross-sectional data collected from randomly selected sample smallholder coffee farmers through a semi-structured questionnaire. Descriptive and simple inferential statistical tests (e.g., frequency, percentage, mean, t-and chi2-tests), and PSM methods were employed to analyze the data. \u0000Findings: Results of the descriptive statistics depict that 234 (62.07%) of the total 377 samples farmers were members of certified coffee marketing cooperatives. Among the cooperative members, 83 (35.47%), 84 (35.90%) and 67 (28.63%) were members of FT, Org and dual FT-Org certified coffee marketing cooperatives, respectively. The results of the binary probit model however show that the decisions to join certified coffee marketing cooperatives was significantly influenced by sex, marital status, total livestock holding size, total coffee land size (ha), log total quantity of coffee produced (kg), credit access, and walking distances to development agent’s office, coffee marketing center and all-weather road in minutes, respectively. The PSM analysis results show that membership to certified coffee marketing cooperatives has a positive and significant impact on average annual gross income (ETB) earned. The average gross annual income earned by coop member farmers was ETB 14639.15, which is by 36.51% higher than their counterpart non-coop member farmers. The difference is statistically significant at 1% probability level. \u0000Unique Contribution to Theory, Practice and Policy: The study recommended that Cooperatives should be encouraged to establish credit and saving units in their internal structure and/or work in collaboration with other saving and credit providing institutions (such as Cooperative Bank of Oromia) to be able to provide demand-driven credit services to member farmers.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82353913","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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