Pub Date : 2022-07-01DOI: 10.1177/18479790221113621
Pornrat Sadangharn
This study aims to develop a model for the acceptance of robots as co-workers from the perspective of hotel employees and uses empirical model testing to validate the findings. Mixed-methods research was conducted by employing a sequential exploratory strategy, whereas qualitative research was conducted using interpretative phenomenological analysis (IPA). The key informants were executives, HR managers, reception managers, and some staff of three hotels in Thailand. Five main themes were uncovered from the IPA: human, robot, organization, human–robot collaboration (HRC), and robot acceptance. Relationships between the themes were established and were promoted as the premise for an initial robot acceptance model. Thereafter, the survey questionnaire was drafted using the instrumental development approach. The model is a good fit with the empirical data. Human, robot, and organizational factors significantly affect robot acceptance and HRC. Meanwhile, HRC plays a mediator role in the relationship of human, robot, and organizational factors with robot acceptance, but in a negative direction. This implies that the respondents generally accept robots. However, the level of acceptance decreases when HRC is involved.
{"title":"Acceptance of robots as co-workers: Hotel employees’ perspective","authors":"Pornrat Sadangharn","doi":"10.1177/18479790221113621","DOIUrl":"https://doi.org/10.1177/18479790221113621","url":null,"abstract":"This study aims to develop a model for the acceptance of robots as co-workers from the perspective of hotel employees and uses empirical model testing to validate the findings. Mixed-methods research was conducted by employing a sequential exploratory strategy, whereas qualitative research was conducted using interpretative phenomenological analysis (IPA). The key informants were executives, HR managers, reception managers, and some staff of three hotels in Thailand. Five main themes were uncovered from the IPA: human, robot, organization, human–robot collaboration (HRC), and robot acceptance. Relationships between the themes were established and were promoted as the premise for an initial robot acceptance model. Thereafter, the survey questionnaire was drafted using the instrumental development approach. The model is a good fit with the empirical data. Human, robot, and organizational factors significantly affect robot acceptance and HRC. Meanwhile, HRC plays a mediator role in the relationship of human, robot, and organizational factors with robot acceptance, but in a negative direction. This implies that the respondents generally accept robots. However, the level of acceptance decreases when HRC is involved.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"25 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91047459","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 : 2022-04-07DOI: 10.1177/18479790221095641
Sukathong S, Suksawang P and Naenna T. Analyzing the importance of critical success factors for the adoption of advanced manufacturing technologies. International Journal of Engineering Business Management 2021; 13: 1–16. DOI: 10.1177/18479790211055057
{"title":"Correction notice to “Analyzing the importance of critical success factors for the adoption of advanced manufacturing technologies”","authors":"","doi":"10.1177/18479790221095641","DOIUrl":"https://doi.org/10.1177/18479790221095641","url":null,"abstract":"Sukathong S, Suksawang P and Naenna T. Analyzing the importance of critical success factors for the adoption of advanced manufacturing technologies. <i>International Journal of Engineering Business Management</i> 2021; 13: 1–16. DOI: 10.1177/18479790211055057","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"151 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138532026","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 : 2022-01-27DOI: 10.1177/18479790211067345
Su-Ju Lu, Yu-Chiao Lin, K. Tan, Ying-Chieh Liu
In light of a recent spike in natural and man-made disasters, there has been an increase in interest in disaster prevention education and training. The effectiveness of both publicly-funded and voluntarily organized disaster education (DE) has attracted wide attention. More studies are needed to understand the innovative pedagogical practice and the impact of technological advances on disaster learning content development, effectiveness and motivation. This study investigates the application of augmented reality (AR) in DE and training. An AR-enhanced tool named ‘disaster-proof warrior’ was developed and tested to evaluate its enhancement effect on learning under two collaborative learning modes. A series of quasi-experiments involving 85 elementary school subjects was carried out to assess the learning effectiveness and the subjective reaction in learning motivation. The results showed the AR embedded learning tool is effective in engaging and motivating collaborative team knowledge building. This study adds to the existing literature of AR applications in education and training as well as providing a useful reference for future development and improvement of national DE and training.
{"title":"Revolutionizing elementary disaster prevention education and training via augmented reality-enhanced collaborative learning","authors":"Su-Ju Lu, Yu-Chiao Lin, K. Tan, Ying-Chieh Liu","doi":"10.1177/18479790211067345","DOIUrl":"https://doi.org/10.1177/18479790211067345","url":null,"abstract":"In light of a recent spike in natural and man-made disasters, there has been an increase in interest in disaster prevention education and training. The effectiveness of both publicly-funded and voluntarily organized disaster education (DE) has attracted wide attention. More studies are needed to understand the innovative pedagogical practice and the impact of technological advances on disaster learning content development, effectiveness and motivation. This study investigates the application of augmented reality (AR) in DE and training. An AR-enhanced tool named ‘disaster-proof warrior’ was developed and tested to evaluate its enhancement effect on learning under two collaborative learning modes. A series of quasi-experiments involving 85 elementary school subjects was carried out to assess the learning effectiveness and the subjective reaction in learning motivation. The results showed the AR embedded learning tool is effective in engaging and motivating collaborative team knowledge building. This study adds to the existing literature of AR applications in education and training as well as providing a useful reference for future development and improvement of national DE and training.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"14 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81554339","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 : 2022-01-01DOI: 10.1177/18479790221097528
Mingyao Hu, P. E. Chaudhry, S. Chaudhry
Online retailers are providing customized logistics service to meet heterogeneous customer demand. However, the value of customized logistics service is not clear. We study conceptually and empirically how customized logistics service influences online customer post-purchase behavior, specifically e-satisfaction and e-loyalty. Primary data on customized logistics service were collected from an online field study involving direct observation. Secondary data on e-satisfaction and e-loyalty were collected from Bizrate.com. We used hierarchical multiple regression analyses and constrained nonlinear regression for empirical analysis. The results indicate that customized logistics service contributes significantly to e-satisfaction and, in turn, to e-loyalty. Furthermore, shipping rates significantly moderate the indirect effect of customized logistics service on e-loyalty through e-satisfaction. This research contributes to the understanding of the nature and consequences of customized logistics service in online retailing. Our findings underscore the effect of customized logistics service on e-satisfaction and e-loyalty, and the critical moderation effects of shipping rate on these relationships. Results from this study hold implications for the way online service operations managers employ logistics service strategy.
{"title":"Linking customized logistics service in online retailing with E-satisfaction and E-loyalty","authors":"Mingyao Hu, P. E. Chaudhry, S. Chaudhry","doi":"10.1177/18479790221097528","DOIUrl":"https://doi.org/10.1177/18479790221097528","url":null,"abstract":"Online retailers are providing customized logistics service to meet heterogeneous customer demand. However, the value of customized logistics service is not clear. We study conceptually and empirically how customized logistics service influences online customer post-purchase behavior, specifically e-satisfaction and e-loyalty. Primary data on customized logistics service were collected from an online field study involving direct observation. Secondary data on e-satisfaction and e-loyalty were collected from Bizrate.com. We used hierarchical multiple regression analyses and constrained nonlinear regression for empirical analysis. The results indicate that customized logistics service contributes significantly to e-satisfaction and, in turn, to e-loyalty. Furthermore, shipping rates significantly moderate the indirect effect of customized logistics service on e-loyalty through e-satisfaction. This research contributes to the understanding of the nature and consequences of customized logistics service in online retailing. Our findings underscore the effect of customized logistics service on e-satisfaction and e-loyalty, and the critical moderation effects of shipping rate on these relationships. Results from this study hold implications for the way online service operations managers employ logistics service strategy.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"14 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78323806","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 : 2022-01-01DOI: 10.1177/18479790221080214
Alhamzah Alnoor, K. W. Khaw, Hadi Al‐Abrrow, Raed Alharbi
The fact pure strategy leads to superior performance was widely criticized. Academics have argued there has been a shift in emphasis from pure strategy to hybrid (integrating a set of strategies). This transformation is constantly increasing. Therefore, from now on, the hybrid strategy based on Miles and Snow and Porter’s strategies is a vital concept to successful performance. Researchers investigated different cases of adoption of Miles and Snow or Porter strategies. Regardless of the prevalence and value of Miles and Snow and Porter’s strategies, they often lead to disappointing performances. The disappointing results of Miles and Snow and Porter’s strategies are due to several firms adopting the hybrid strategy. A holistic view of prior research is needed to understand the importance of a hybrid strategy on performance based on Miles and Snow and Porter. Accordingly, this study provides a comprehensive review of hybrid strategies based on Miles and Snow and Porter’s strategies. The reviewed literature regarding hybrid strategy based on Miles and Snow and Porter’s strategies is categorized and discussed in two directions. Firstly, Miles and Snow’s strategies. Secondly, Porter’s strategies. We analyze the essential characteristics of the emerging field for the hybrid strategy along with the issues, challenges, advantages of a hybrid strategy, theoretical, and practical implications.
{"title":"The hybrid strategy on the basis of Miles and Snow and Porter’s strategies: An overview of the current state-of-the-art of research","authors":"Alhamzah Alnoor, K. W. Khaw, Hadi Al‐Abrrow, Raed Alharbi","doi":"10.1177/18479790221080214","DOIUrl":"https://doi.org/10.1177/18479790221080214","url":null,"abstract":"The fact pure strategy leads to superior performance was widely criticized. Academics have argued there has been a shift in emphasis from pure strategy to hybrid (integrating a set of strategies). This transformation is constantly increasing. Therefore, from now on, the hybrid strategy based on Miles and Snow and Porter’s strategies is a vital concept to successful performance. Researchers investigated different cases of adoption of Miles and Snow or Porter strategies. Regardless of the prevalence and value of Miles and Snow and Porter’s strategies, they often lead to disappointing performances. The disappointing results of Miles and Snow and Porter’s strategies are due to several firms adopting the hybrid strategy. A holistic view of prior research is needed to understand the importance of a hybrid strategy on performance based on Miles and Snow and Porter. Accordingly, this study provides a comprehensive review of hybrid strategies based on Miles and Snow and Porter’s strategies. The reviewed literature regarding hybrid strategy based on Miles and Snow and Porter’s strategies is categorized and discussed in two directions. Firstly, Miles and Snow’s strategies. Secondly, Porter’s strategies. We analyze the essential characteristics of the emerging field for the hybrid strategy along with the issues, challenges, advantages of a hybrid strategy, theoretical, and practical implications.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"1 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80763418","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 : 2022-01-01DOI: 10.1177/18479790221074477
M. Abdeldayem, S. Aldulaimi
This study aims to analyze crowdfunding’s economic success in the Gulf region as the Crowdfunding (CF) experience and practice in this part of the world tend to be unexplored in terms of research. In particular, the study examines whether the adoption of entrepreneurial finance (EF) principles in crowdfunding platforms affects the economic success of funding and entrepreneurs’ ability in the Gulf Cooperation Council (GCC) to access financial resources. The study uses an online questionnaire survey on Crowdfunding economic success in the GCC to collect information from the participants. Participants are investors, entrepreneurs, and startups from five Gulf countries (i.e., Saudi Arabia, Bahrain, Kuwait, Oman and UAE) in addition to several Crowdfunding platforms commonly used by crowdfunders in this region (such as Indiegogo, Kickstarter, Eureeca, Beehive and GoFundMe) with total members (102964). Signaling theory and principle-agent theory combine to make a theoretical foundation that explains the relationship between funders and fundraisers. The pilot sample consisting of 10 units was used to validate and verify the research instrument of the study. The research sample consists of 1145 respondents (sample size n = 1145) selected randomly from the five Gulf countries included in the study. The findings reveal that CF’s presence positively impacts economic fundraising success and that crowdfunding platforms are an effective financial technology (Fintech) tool for financing entrepreneurs in the GCC. We conclude with recommendations for future EF and CF research. The findings of this study will have implications for improvements in practices of economic and finance. They may be used as a guide towards advancing the management and performance of the crowdfunding platforms in the Gulf region. Presently, a very few number of published research on crowdfunding exist in this region. Moreover, to the best of our knowledge, there is no single study investigating crowdfunding as an alternative financing source in the GCC.
{"title":"Predicting crowdfunding economic success in the gulf cooperation council","authors":"M. Abdeldayem, S. Aldulaimi","doi":"10.1177/18479790221074477","DOIUrl":"https://doi.org/10.1177/18479790221074477","url":null,"abstract":"This study aims to analyze crowdfunding’s economic success in the Gulf region as the Crowdfunding (CF) experience and practice in this part of the world tend to be unexplored in terms of research. In particular, the study examines whether the adoption of entrepreneurial finance (EF) principles in crowdfunding platforms affects the economic success of funding and entrepreneurs’ ability in the Gulf Cooperation Council (GCC) to access financial resources. The study uses an online questionnaire survey on Crowdfunding economic success in the GCC to collect information from the participants. Participants are investors, entrepreneurs, and startups from five Gulf countries (i.e., Saudi Arabia, Bahrain, Kuwait, Oman and UAE) in addition to several Crowdfunding platforms commonly used by crowdfunders in this region (such as Indiegogo, Kickstarter, Eureeca, Beehive and GoFundMe) with total members (102964). Signaling theory and principle-agent theory combine to make a theoretical foundation that explains the relationship between funders and fundraisers. The pilot sample consisting of 10 units was used to validate and verify the research instrument of the study. The research sample consists of 1145 respondents (sample size n = 1145) selected randomly from the five Gulf countries included in the study. The findings reveal that CF’s presence positively impacts economic fundraising success and that crowdfunding platforms are an effective financial technology (Fintech) tool for financing entrepreneurs in the GCC. We conclude with recommendations for future EF and CF research. The findings of this study will have implications for improvements in practices of economic and finance. They may be used as a guide towards advancing the management and performance of the crowdfunding platforms in the Gulf region. Presently, a very few number of published research on crowdfunding exist in this region. Moreover, to the best of our knowledge, there is no single study investigating crowdfunding as an alternative financing source in the GCC.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"34 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83080748","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 : 2022-01-01DOI: 10.1177/18479790221082605
M. Salama, Hatem M. Abdelkader, A. Abdelwahab
At present, millions of internet users are contributing a huge amount of data. This data is extremely heterogeneous, and so, it is hard to analyze and derive information from this data that is considered an indispensable source for decision-makers. Due to this massive growth, the classification of data and analysis has become an important research subject. Extracting information from this data has become a necessity. As a result, it was necessary to process these enormous volumes of data to uncover hidden information and therefore improve data analysis and, in turn, classification accuracy. In this paper, firstly, we focus on developing an ensemble machine-learning model based on active learning which identifies the most effective feature extraction strategy for heterogeneous data analysis, and compare it with traditional machine-learning algorithms. Secondly, we evaluate the proposed model during the experiments; five heterogeneous datasets from various domains were used, such as a Health Care Reform dataset, Sander Frandsen dataset, Financial Phrase Bank dataset, SMS Spam Collection dataset, and Textbook sales dataset. According to the results, the novel approach for data analysis performed better than conventional methods. Finally, the study’s findings confirmed the validity of the suggested technique, meeting the study’s goal of using ensemble methods with active learning to raise the model’s overall accuracy for effectively classifying and analyzing heterogeneous data, reducing the time and money spent training the model, and delivering superior analysis performance as well as insights into other elements of extracting information from heterogeneous data.
{"title":"A novel ensemble approach for heterogeneous data with active learning","authors":"M. Salama, Hatem M. Abdelkader, A. Abdelwahab","doi":"10.1177/18479790221082605","DOIUrl":"https://doi.org/10.1177/18479790221082605","url":null,"abstract":"At present, millions of internet users are contributing a huge amount of data. This data is extremely heterogeneous, and so, it is hard to analyze and derive information from this data that is considered an indispensable source for decision-makers. Due to this massive growth, the classification of data and analysis has become an important research subject. Extracting information from this data has become a necessity. As a result, it was necessary to process these enormous volumes of data to uncover hidden information and therefore improve data analysis and, in turn, classification accuracy. In this paper, firstly, we focus on developing an ensemble machine-learning model based on active learning which identifies the most effective feature extraction strategy for heterogeneous data analysis, and compare it with traditional machine-learning algorithms. Secondly, we evaluate the proposed model during the experiments; five heterogeneous datasets from various domains were used, such as a Health Care Reform dataset, Sander Frandsen dataset, Financial Phrase Bank dataset, SMS Spam Collection dataset, and Textbook sales dataset. According to the results, the novel approach for data analysis performed better than conventional methods. Finally, the study’s findings confirmed the validity of the suggested technique, meeting the study’s goal of using ensemble methods with active learning to raise the model’s overall accuracy for effectively classifying and analyzing heterogeneous data, reducing the time and money spent training the model, and delivering superior analysis performance as well as insights into other elements of extracting information from heterogeneous data.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"80 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90429080","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 : 2022-01-01DOI: 10.1177/18479790221110835
S. Aldulaimi, M. Abdeldayem
The aims of this study are two folds: First to examine the impact of renewable energy technologies on sustainability development in the Middle East and North Africa (MENA). Second to test the awareness and cultural acceptance of societies in MENA region of the need to preserve the environment and reduce pollution by paving the way for finding alternatives to energy and developing emerging energy, which in turn will contribute to sustainable development and preserve the environment from pollution due to energy produced through fossil sources. The method of the current study relied on both primary data and secondary data. Hence, a questionnaire survey was developed to collect the required data. While, secondary data sources are obtained through the Web site finance.yahoo.com. The data processing techniques were carried out using Stata 16 software and using the Multiple Linear Regression method. The sample of the study consisted of 653 people from different MENA countries, i.e. Egypt, Jordan, Algeria, Bahrain, Iraq, Kuwait, UAE, and Saudi Arabia. The results revealed two types of data, quantitative data and qualitative data. Quantitative data is excluded from the secondary data analysis that renewable energy technologies have a positive effect on sustainability development in the MENA region. Qualitative data; as the survey includes some open ended questions to give an avenue to respondents to provide further feedback regarding their experience and perception of renewable energy. The results revealed a high degree of cultural perception of Renewable Energy Technologies of the communities in the MENA. Also, people are aware and ready to afford the cost and efforts to generate clean energy that promote sustainability. This study recommends that governments should invest in renewable energy and highlights the urgent need for clean energy to emerge in the MENA region. JEL classifications Q43. Q32. O13
{"title":"Examining the impact of renewable energy technologies on sustainability development in the middle east and north Africa region","authors":"S. Aldulaimi, M. Abdeldayem","doi":"10.1177/18479790221110835","DOIUrl":"https://doi.org/10.1177/18479790221110835","url":null,"abstract":"The aims of this study are two folds: First to examine the impact of renewable energy technologies on sustainability development in the Middle East and North Africa (MENA). Second to test the awareness and cultural acceptance of societies in MENA region of the need to preserve the environment and reduce pollution by paving the way for finding alternatives to energy and developing emerging energy, which in turn will contribute to sustainable development and preserve the environment from pollution due to energy produced through fossil sources. The method of the current study relied on both primary data and secondary data. Hence, a questionnaire survey was developed to collect the required data. While, secondary data sources are obtained through the Web site finance.yahoo.com. The data processing techniques were carried out using Stata 16 software and using the Multiple Linear Regression method. The sample of the study consisted of 653 people from different MENA countries, i.e. Egypt, Jordan, Algeria, Bahrain, Iraq, Kuwait, UAE, and Saudi Arabia. The results revealed two types of data, quantitative data and qualitative data. Quantitative data is excluded from the secondary data analysis that renewable energy technologies have a positive effect on sustainability development in the MENA region. Qualitative data; as the survey includes some open ended questions to give an avenue to respondents to provide further feedback regarding their experience and perception of renewable energy. The results revealed a high degree of cultural perception of Renewable Energy Technologies of the communities in the MENA. Also, people are aware and ready to afford the cost and efforts to generate clean energy that promote sustainability. This study recommends that governments should invest in renewable energy and highlights the urgent need for clean energy to emerge in the MENA region. JEL classifications Q43. Q32. O13","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"155 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86305057","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 : 2022-01-01DOI: 10.1177/18479790221100075
Najib Abdi, S. Bait, Asif Hasnain, Serena Marino Lauria, R. Savigliano, Ygor Scarcia, M. Schiraldi
This paper aims to present the analysis results on the feasibility and assessment of Special Economic Zone (SEZ) implementation across the seven Federal States of Somalia. Specifically, the research leads to defining the most important criteria used to evaluate different locations to establish SEZs, understanding the priorities and perceptions of different groups of stakeholders. Moreover, it allows quantitatively assess States’ conditions to reduce the risk of wasted investment or unsuccessful development. Finally, it ranks alternatives based on the stakeholder perspectives and territorial realities. The analysis is based on a multi-criteria decision-making methodology, specifically on the Analytic Hierarchy Process and Technique for Order of Preference by Similarity to Ideal Solution. On a national basis, the most relevant criteria, in the view of stakeholders, are the availability of a skilled workforce. The “economic prosperity” and “financial investments and external aid” are the most critical gaps commonly perceived in all the States. The most applicable State to locate a Special Economic Zone is Banadir Regional Administration, which is perceived to be relatively better off concerning Environmental Conditions, Workforce Skills, Finance and External Aid, and Government Policies and Security. Moreover, the discrepancy between Banadir Regional Administration, but also Somaliland, and the other States is alarming, showing that the more advanced States are the ones that have a higher level of security, population, and also more reliable infrastructure. This information is vital for government and policymakers to support less developed countries' economic and social growth.
{"title":"Prioritize special economic zones establishment through a multi-criteria decision-making approach: A case study on the federal states of Somalia","authors":"Najib Abdi, S. Bait, Asif Hasnain, Serena Marino Lauria, R. Savigliano, Ygor Scarcia, M. Schiraldi","doi":"10.1177/18479790221100075","DOIUrl":"https://doi.org/10.1177/18479790221100075","url":null,"abstract":"This paper aims to present the analysis results on the feasibility and assessment of Special Economic Zone (SEZ) implementation across the seven Federal States of Somalia. Specifically, the research leads to defining the most important criteria used to evaluate different locations to establish SEZs, understanding the priorities and perceptions of different groups of stakeholders. Moreover, it allows quantitatively assess States’ conditions to reduce the risk of wasted investment or unsuccessful development. Finally, it ranks alternatives based on the stakeholder perspectives and territorial realities. The analysis is based on a multi-criteria decision-making methodology, specifically on the Analytic Hierarchy Process and Technique for Order of Preference by Similarity to Ideal Solution. On a national basis, the most relevant criteria, in the view of stakeholders, are the availability of a skilled workforce. The “economic prosperity” and “financial investments and external aid” are the most critical gaps commonly perceived in all the States. The most applicable State to locate a Special Economic Zone is Banadir Regional Administration, which is perceived to be relatively better off concerning Environmental Conditions, Workforce Skills, Finance and External Aid, and Government Policies and Security. Moreover, the discrepancy between Banadir Regional Administration, but also Somaliland, and the other States is alarming, showing that the more advanced States are the ones that have a higher level of security, population, and also more reliable infrastructure. This information is vital for government and policymakers to support less developed countries' economic and social growth.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"60 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73792383","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 : 2022-01-01DOI: 10.1177/18479790211037222
Hajat Hajizadeh, F. Makvandi, G. Amirnejad
Coaching encourages individuals to focus on their strengths instead of their weaknesses. The studies show that emphasizing the employees’ strengths can reduce turnover, increase productivity, and improve job satisfaction. This study investigated the effective coaching factors in operational managers of the Persian Gulf Petrochemical Company in motivation of human resources. The present study is practical and descriptive-correlational in terms of objective and data gathering, respectively. Structural Equation Modeling (SEM) was performed in SMART PLS to model the collected data. The statistical population included all the 340 operational managers of the Persian Gulf Petrochemical Company. 182 individuals were selected and evaluated from this statistical population. Questionnaires were used for data collection. The researcher-made questionnaire was extracted based on the model prepared in the previous stage using a grounded theory approach. The results showed that communication, organizational strategy and goals, legal requirements, motivation, organizational training, empowerment, teamwork, succession, organizational agility, job satisfaction, organizational structure, human resources management, organizational culture, participatory management, talent management, knowledge management, coaching, managers’ competencies, compensation system, job satisfaction, staff characteristics, organizational characteristics, and learning have significant impacts in motivation of human resources.
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