Pub Date : 2022-01-01DOI: 10.1177/18479790221097235
Yang Song, R. Berger, Matti Rachamim, Andrew Johnston, A. F. Colladon
Many firms find it challenging to develop innovations, evidenced by the ever-mounting number of university-industry research alliances. This study examines the strategic choices of actors who participate in collaborative innovation alliances involving partnerships between industry and universities (U-I) based on a stochastic evolutionary game model. White noise was introduced to reflect uncertainty and the stochastic interferences caused by the differences between actors. Using the Itô stochastic differential equation theory, we analyze stability issues of player behaviors in the evolution of a collaborative innovation alliance. The results illustrate that improvements in innovation efficiency can contribute to U-I collaborative innovation alliances. High knowledge complementarity appears to be unbeneficial to the stability of these alliances, and controlling knowledge spillovers may suppress free-rider problems from both sides of the game. Our study contributes to innovation research by providing a decision-making reference for the design of U-I cooperation.
{"title":"Modeling the industry perspective of university-industry collaborative innovation alliances: Player behavior and stability issues","authors":"Yang Song, R. Berger, Matti Rachamim, Andrew Johnston, A. F. Colladon","doi":"10.1177/18479790221097235","DOIUrl":"https://doi.org/10.1177/18479790221097235","url":null,"abstract":"Many firms find it challenging to develop innovations, evidenced by the ever-mounting number of university-industry research alliances. This study examines the strategic choices of actors who participate in collaborative innovation alliances involving partnerships between industry and universities (U-I) based on a stochastic evolutionary game model. White noise was introduced to reflect uncertainty and the stochastic interferences caused by the differences between actors. Using the Itô stochastic differential equation theory, we analyze stability issues of player behaviors in the evolution of a collaborative innovation alliance. The results illustrate that improvements in innovation efficiency can contribute to U-I collaborative innovation alliances. High knowledge complementarity appears to be unbeneficial to the stability of these alliances, and controlling knowledge spillovers may suppress free-rider problems from both sides of the game. Our study contributes to innovation research by providing a decision-making reference for the design of U-I cooperation.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"140 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77702408","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: 10.1177/18479790221124641
Francisco J. Navarro-Meneses
The creation of value is a critical factor that determines the competitive capacity of firms and their ability to survive. Notwithstanding its importance, value creation usually becomes a fuzzy concept that is difficult to grasp, especially when increasingly complex elements of reality are incorporated into its analysis. Building on the narrative of the firm as a complex adaptive system, this article provides empirical evidence showing value creation as emergent behavior resulting from hyper-connected value repositories. Several implications for scholars and practitioners are discussed. For scholars, expert knowledge is provided from 28 airline industry executives around the world together with a method based on fuzzy cognitive maps that allows modeling and simulating value creation in airlines through 26 value repositories and 77 interdependencies. For practitioners, the article raises awareness of the need to incorporate a complexity mindset into value creation analysis and smooths the transition towards a value performance management tool.
{"title":"Unraveling the airline value creation network with fuzzy cognitive maps","authors":"Francisco J. Navarro-Meneses","doi":"10.1177/18479790221124641","DOIUrl":"https://doi.org/10.1177/18479790221124641","url":null,"abstract":"The creation of value is a critical factor that determines the competitive capacity of firms and their ability to survive. Notwithstanding its importance, value creation usually becomes a fuzzy concept that is difficult to grasp, especially when increasingly complex elements of reality are incorporated into its analysis. Building on the narrative of the firm as a complex adaptive system, this article provides empirical evidence showing value creation as emergent behavior resulting from hyper-connected value repositories. Several implications for scholars and practitioners are discussed. For scholars, expert knowledge is provided from 28 airline industry executives around the world together with a method based on fuzzy cognitive maps that allows modeling and simulating value creation in airlines through 26 value repositories and 77 interdependencies. For practitioners, the article raises awareness of the need to incorporate a complexity mindset into value creation analysis and smooths the transition towards a value performance management tool.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"53 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72529531","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: 10.1177/18479790221131612
Tina Asgari, A. Daneshvar, Adel Pourghader Chobar, Maryam Ebrahimi, Simon Abrahamyan
It is aimed to identify the basic success factors, which are essential for startups as they intend to develop successful and profitable business models over time. To this end, it is attempted to analyze the sentiments on user-generated content (UGC) on Twitter. First, trigram word cloud is used. Then, a sentiment analysis is done with various predictive models including random forest, support-vector machine (SVM) and multilayer perceptron (MLP) to test the labeling of unlabeled data. To divide topics into negative, positive, and neutral sentiments, latent Dirichlet allocation (LDA) has been applied. According to the results, the MLP method on the basis of accuracy criterion offers an accuracy of 0.81, which is higher than other tested methods. In this regard, random forest and SVM methods provide accuracy of 0.78 and 0.80, respectively. Voting and stacking algorithms were used to increase the accuracy of the algorithms. However, it is found that with the use of voting method, the accuracy is almost equal to the results obtained from the MLP and with stacking method the accuracy is less than all three methods. Using word cloud, it is indicated that the most negative trigram is startups innovation regarding climate change, the most positive one is product marketing management and business-related concepts are determined as neutral. It is found that startup acceleration process, pushing for quicker completion, delivering the best product at the beginning of the project, poor management practices, and focusing just on properties are grouped as negative sentiments. On the other hand, sustainable and innovative business plan, the presence of experienced entrepreneurs and investors, coronavirus (COVID-19), and innovation are recognized as positive sentiments, and no analysis is given for neutral sentiments.
{"title":"Identifying key success factors for startups With sentiment analysis using text data mining","authors":"Tina Asgari, A. Daneshvar, Adel Pourghader Chobar, Maryam Ebrahimi, Simon Abrahamyan","doi":"10.1177/18479790221131612","DOIUrl":"https://doi.org/10.1177/18479790221131612","url":null,"abstract":"It is aimed to identify the basic success factors, which are essential for startups as they intend to develop successful and profitable business models over time. To this end, it is attempted to analyze the sentiments on user-generated content (UGC) on Twitter. First, trigram word cloud is used. Then, a sentiment analysis is done with various predictive models including random forest, support-vector machine (SVM) and multilayer perceptron (MLP) to test the labeling of unlabeled data. To divide topics into negative, positive, and neutral sentiments, latent Dirichlet allocation (LDA) has been applied. According to the results, the MLP method on the basis of accuracy criterion offers an accuracy of 0.81, which is higher than other tested methods. In this regard, random forest and SVM methods provide accuracy of 0.78 and 0.80, respectively. Voting and stacking algorithms were used to increase the accuracy of the algorithms. However, it is found that with the use of voting method, the accuracy is almost equal to the results obtained from the MLP and with stacking method the accuracy is less than all three methods. Using word cloud, it is indicated that the most negative trigram is startups innovation regarding climate change, the most positive one is product marketing management and business-related concepts are determined as neutral. It is found that startup acceleration process, pushing for quicker completion, delivering the best product at the beginning of the project, poor management practices, and focusing just on properties are grouped as negative sentiments. On the other hand, sustainable and innovative business plan, the presence of experienced entrepreneurs and investors, coronavirus (COVID-19), and innovation are recognized as positive sentiments, and no analysis is given for neutral sentiments.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"35 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80888472","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: 10.1177/18479790211073443
Muhammad K Ahmad, A. Abdulhamid, S. A. Wahab, Ali N Pervaiz, Muhammad Imtiaz
Leadership is considered to be a viable solution to avoid persistent project failures in an increasingly volatile and uncertain competitive business environment; however, practitioners and researchers have yet to reach a consensus on the best leadership style to prevent project failure. Although past studies have examined different leadership models in the project environment, they have overlooked the importance of emerging leadership styles in managing new business realities. This article thus attempts to determine whether two leadership styles, that is, contingent reward and empowering, directly and indirectly achieve project success. Data were collected from 289 project team members in the IT sector and analysed using partial least squares structural equation modelling. The results demonstrate the positive impact of empowering leadership on employee self-leadership, which leads to project success. Further, employee self-leadership positively mediates the link between empowering leadership and project success, while goal clarity moderates the influence of self-leadership on project success. However, contingent reward leadership neither directly nor indirectly (through self-leadership) showed any significant relationship with project success.
{"title":"Direct and indirect influence of project managers’ contingent reward leadership and empowering leadership on project success","authors":"Muhammad K Ahmad, A. Abdulhamid, S. A. Wahab, Ali N Pervaiz, Muhammad Imtiaz","doi":"10.1177/18479790211073443","DOIUrl":"https://doi.org/10.1177/18479790211073443","url":null,"abstract":"Leadership is considered to be a viable solution to avoid persistent project failures in an increasingly volatile and uncertain competitive business environment; however, practitioners and researchers have yet to reach a consensus on the best leadership style to prevent project failure. Although past studies have examined different leadership models in the project environment, they have overlooked the importance of emerging leadership styles in managing new business realities. This article thus attempts to determine whether two leadership styles, that is, contingent reward and empowering, directly and indirectly achieve project success. Data were collected from 289 project team members in the IT sector and analysed using partial least squares structural equation modelling. The results demonstrate the positive impact of empowering leadership on employee self-leadership, which leads to project success. Further, employee self-leadership positively mediates the link between empowering leadership and project success, while goal clarity moderates the influence of self-leadership on project success. However, contingent reward leadership neither directly nor indirectly (through self-leadership) showed any significant relationship with project success.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"30 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89568017","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: 10.1177/18479790221112797
Ali Matar, Abdelbaset M. Alkhawaldeh
Wi-Fi technology is one of the most electronic services that recently emerged in the banking sector that provides significant benefits to clients and banks. Thus, the study aims to validate the factors influencing the adoption of Wi-Fi (Near Field Communication) technology by banking sector clients using an extended technology acceptance model. One hundred sixty-two valid surveys were gained from Jordanian clients via an online survey. Data were analyzed using the PLS-SEM technique. Perceived usefulness, perceived ease of use, and perceived bank credibility all have a significant effect on the adoption of Wi-Fi technology services. However, perceived awareness, reference groups, and security concerns have no significant effect on the adoption of Wi-Fi technology services. The research has several implications for theory and practice. It also makes several suggestions for future studies and points out some limitations.
{"title":"Adoption of electronic cards using Wi-Fi platform services by clients of banking sector during COVID-19 pandemic","authors":"Ali Matar, Abdelbaset M. Alkhawaldeh","doi":"10.1177/18479790221112797","DOIUrl":"https://doi.org/10.1177/18479790221112797","url":null,"abstract":"Wi-Fi technology is one of the most electronic services that recently emerged in the banking sector that provides significant benefits to clients and banks. Thus, the study aims to validate the factors influencing the adoption of Wi-Fi (Near Field Communication) technology by banking sector clients using an extended technology acceptance model. One hundred sixty-two valid surveys were gained from Jordanian clients via an online survey. Data were analyzed using the PLS-SEM technique. Perceived usefulness, perceived ease of use, and perceived bank credibility all have a significant effect on the adoption of Wi-Fi technology services. However, perceived awareness, reference groups, and security concerns have no significant effect on the adoption of Wi-Fi technology services. The research has several implications for theory and practice. It also makes several suggestions for future studies and points out some limitations.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"5 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84627743","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: 10.1177/18479790211069745
Saima Mirza, Asif Mahmood, Hassan Waqar
We explore the open innovation research model in order to remove barriers in service organizations, where lack of knowledge is the main barrier to innovation. The purpose of this paper is to propose a research model exploring the relationship between open innovation, organizational learning ability, absorptive capacity, and strategic innovation. In this study, we collected data from 330 pharmaceutical companies in Lahore and Karachi (Pakistan). The Structural equation model analysis was used through analysis of moment structures and statistical package for the social sciences to check the relationship between the variables. The results reveal that hypotheses related to innovation have been accepted. The findings of this study are evidence that various types of open innovation have different effects on strategic innovation. The inbound and outbound open innovation directly affects strategic innovation; the mutual effect of exploitative learning ability and explorative learning ability between open innovation and strategic innovation have indirect effects. Similarly, the empirical findings of absorptive capacity also significantly impact open innovation and organizational learning ability. This study contributes to the theory by introducing exploitative and explorative learning abilities as mediators between open innovation and strategic innovation. Moreover, it analyzes how absorptive capacity may enhance learning abilities through the open innovation phenomenon. Practically, this study would help the managers understand and improve organizational productivity and gain competitive advantage by creating, sharing, and utilizing knowledge through internal and external avenues.
{"title":"The interplay of open innovation and strategic innovation: Unpacking the role of organizational learning ability and absorptive capacity","authors":"Saima Mirza, Asif Mahmood, Hassan Waqar","doi":"10.1177/18479790211069745","DOIUrl":"https://doi.org/10.1177/18479790211069745","url":null,"abstract":"We explore the open innovation research model in order to remove barriers in service organizations, where lack of knowledge is the main barrier to innovation. The purpose of this paper is to propose a research model exploring the relationship between open innovation, organizational learning ability, absorptive capacity, and strategic innovation. In this study, we collected data from 330 pharmaceutical companies in Lahore and Karachi (Pakistan). The Structural equation model analysis was used through analysis of moment structures and statistical package for the social sciences to check the relationship between the variables. The results reveal that hypotheses related to innovation have been accepted. The findings of this study are evidence that various types of open innovation have different effects on strategic innovation. The inbound and outbound open innovation directly affects strategic innovation; the mutual effect of exploitative learning ability and explorative learning ability between open innovation and strategic innovation have indirect effects. Similarly, the empirical findings of absorptive capacity also significantly impact open innovation and organizational learning ability. This study contributes to the theory by introducing exploitative and explorative learning abilities as mediators between open innovation and strategic innovation. Moreover, it analyzes how absorptive capacity may enhance learning abilities through the open innovation phenomenon. Practically, this study would help the managers understand and improve organizational productivity and gain competitive advantage by creating, sharing, and utilizing knowledge through internal and external avenues.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"21 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77227151","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: 10.1177/18479790221106307
Thamaraiselvi Arivazhagan, S. Srikrishna, Naveenkumar Kaliyan, Ganesan Sivarajan
Among Renewable Energy Sources wind and solar energy are the most prominent and favorable substitutes to meet mankind’s future electricity requirements. Typically, these resources are combined in a distribution network to provide local distribution users. The amalgamation of these upgrades into the distribution network may modify the malfunction and network topologies, which may fail due to their pre-set state. Therefore, an advanced and accurate tracking device must continuously monitor topology changes, which is the Phasor Measuring Unit (PMU). This work proposes a new technique based on the Sea Lion Optimization Algorithm to determine the Optimal PMU Placements and its employment positions, i.e. the power structure is completely perceptible. In addition, the cost of system losses can be calculated with or without wind energy to achieve energy reserves. The energy losses before and after the wind turbine connection is compared to realize energy reserves. This comparison of energy reserves is made using Realistic and Stochastic platforms. Comparison and proposed formulas offered in the IEEE 15, 33, 69, and 85 bus distribution networks were explored to prove their effectiveness. Moreover, the proposed methodology produces more trusted results than those of other methods in the literature.
{"title":"State estimation with trusted phasor measuring unit placements of distribution system involving renewable energy sources","authors":"Thamaraiselvi Arivazhagan, S. Srikrishna, Naveenkumar Kaliyan, Ganesan Sivarajan","doi":"10.1177/18479790221106307","DOIUrl":"https://doi.org/10.1177/18479790221106307","url":null,"abstract":"Among Renewable Energy Sources wind and solar energy are the most prominent and favorable substitutes to meet mankind’s future electricity requirements. Typically, these resources are combined in a distribution network to provide local distribution users. The amalgamation of these upgrades into the distribution network may modify the malfunction and network topologies, which may fail due to their pre-set state. Therefore, an advanced and accurate tracking device must continuously monitor topology changes, which is the Phasor Measuring Unit (PMU). This work proposes a new technique based on the Sea Lion Optimization Algorithm to determine the Optimal PMU Placements and its employment positions, i.e. the power structure is completely perceptible. In addition, the cost of system losses can be calculated with or without wind energy to achieve energy reserves. The energy losses before and after the wind turbine connection is compared to realize energy reserves. This comparison of energy reserves is made using Realistic and Stochastic platforms. Comparison and proposed formulas offered in the IEEE 15, 33, 69, and 85 bus distribution networks were explored to prove their effectiveness. Moreover, the proposed methodology produces more trusted results than those of other methods in the literature.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"3 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91277320","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: 10.1177/18479790221078130
H. Suh, Jiyeon Kim, Jinsoo So, J. Jung
Due to the rapid increase in images and image data, research examining the visual analysis of such unstructured data has recently come to be actively conducted. One of the representative image caption models the DenseCap model extracts various regions in an image and generates region-level captions. However, since the existing DenseCap model does not consider priority for region captions, it is difficult to identify relatively significant region captions that best describe the image. There has also been a lack of research into captioning focusing on the core areas for story content, such as images in movies and dramas. In this study, we propose a new image captioning framework based on DenseCap that aims to promote the understanding of movies in particular. In addition, we design and implement a module for identifying characters so that the character information can be used in caption detection and caption improvement in core areas. We also propose a core area caption detection algorithm that considers the variables affecting the area caption importance. Finally, a performance evaluation is conducted to determine the accuracy of the character identification module, and the effectiveness of the proposed algorithm is demonstrated by visually comparing it with the existing DenseCap model.
{"title":"A core region captioning framework for automatic video understanding in story video contents","authors":"H. Suh, Jiyeon Kim, Jinsoo So, J. Jung","doi":"10.1177/18479790221078130","DOIUrl":"https://doi.org/10.1177/18479790221078130","url":null,"abstract":"Due to the rapid increase in images and image data, research examining the visual analysis of such unstructured data has recently come to be actively conducted. One of the representative image caption models the DenseCap model extracts various regions in an image and generates region-level captions. However, since the existing DenseCap model does not consider priority for region captions, it is difficult to identify relatively significant region captions that best describe the image. There has also been a lack of research into captioning focusing on the core areas for story content, such as images in movies and dramas. In this study, we propose a new image captioning framework based on DenseCap that aims to promote the understanding of movies in particular. In addition, we design and implement a module for identifying characters so that the character information can be used in caption detection and caption improvement in core areas. We also propose a core area caption detection algorithm that considers the variables affecting the area caption importance. Finally, a performance evaluation is conducted to determine the accuracy of the character identification module, and the effectiveness of the proposed algorithm is demonstrated by visually comparing it with the existing DenseCap model.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"118 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87999875","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: 10.1177/18479790211045215
Xuqian Wen, Yong Ye
This paper uses a research sample listed manufacturing companies in China and systematically studies the impact of customer change and government support on corporate cash holdings and economic consequences. The empirical results show that there is a significant positive correlation between customer change and cash holdings, and the value of cash holdings is higher among enterprises with customer changes. This study enriches and expands the literature on customer relations and cash holdings, and we confirm the important practical significance of government support for the development of the manufacturing industry.
{"title":"An analysis of customer change, government support, and cash holdings","authors":"Xuqian Wen, Yong Ye","doi":"10.1177/18479790211045215","DOIUrl":"https://doi.org/10.1177/18479790211045215","url":null,"abstract":"This paper uses a research sample listed manufacturing companies in China and systematically studies the impact of customer change and government support on corporate cash holdings and economic consequences. The empirical results show that there is a significant positive correlation between customer change and cash holdings, and the value of cash holdings is higher among enterprises with customer changes. This study enriches and expands the literature on customer relations and cash holdings, and we confirm the important practical significance of government support for the development of the manufacturing industry.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"9 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84488623","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: 10.1177/18479790211049706
Majed Bin Othayman, John Mulyata, Abdulrahim Meshari, Y. Debrah
This research examines the problems encountered by the Training Needs Assessment (TNA) system from the perspective of faculty members and Human Resources (HR) managers in emerging public universities in the Saudi Arabian Higher Education sector. It aims to understand how problems with this will affect the success rate of Training and Development (T&D) curriculums. The research comprises an analytical study using a case study method of analysis. Qualitative data collection was carried out using semi-structured interviews with 75 senior managers and faculty members of four selected universities, selected using purposive non-random sampling. The data was analysed using Thematic Analysis (TA). The results highlight the insufficiency of the TNA techniques applied to ascertain training requirements. The primary obstacles to successful TNA were inadequate HR processes, insufficiently experienced HR directors, poor engagement, and favouritism concerning the selection of candidates for T&D. These issues affect the enthusiasm of those in the department. Additionally, resources required for T&D, particularly time and money, are misused, which could influence the growth potential of the universities against the country’s Vision 2030 plan. The findings indicate procedural differences in selecting and approving staff requests for Human Resource Development (HRD) support, managerial discretion in selecting participants for HRD programmes, and selective or restricted access to HRD programmes for foreign-born employees, which raises significant questions about equality policies. This study is unique as a contribution to the literature in exploring the challenges faced by the TNA process in Saudi Arabian Higher Education, therefore broadening understanding in the field as a whole, especially concerning the developing countries and Gulf Cooperation Council of Nations. The study concludes that there is currently unsatisfactory commitment in determining the staff training needs by the HR departments of Saudi Arabian public universities, which damages morale and leads to a lack of faith between HR directors and departmental staff. Finally, this study contributes to the area of policy decision-making by reporting the present situation surrounding the issues related to the application of TNA in T&D.
{"title":"The challenges confronting the training needs assessment in Saudi Arabian higher education","authors":"Majed Bin Othayman, John Mulyata, Abdulrahim Meshari, Y. Debrah","doi":"10.1177/18479790211049706","DOIUrl":"https://doi.org/10.1177/18479790211049706","url":null,"abstract":"This research examines the problems encountered by the Training Needs Assessment (TNA) system from the perspective of faculty members and Human Resources (HR) managers in emerging public universities in the Saudi Arabian Higher Education sector. It aims to understand how problems with this will affect the success rate of Training and Development (T&D) curriculums. The research comprises an analytical study using a case study method of analysis. Qualitative data collection was carried out using semi-structured interviews with 75 senior managers and faculty members of four selected universities, selected using purposive non-random sampling. The data was analysed using Thematic Analysis (TA). The results highlight the insufficiency of the TNA techniques applied to ascertain training requirements. The primary obstacles to successful TNA were inadequate HR processes, insufficiently experienced HR directors, poor engagement, and favouritism concerning the selection of candidates for T&D. These issues affect the enthusiasm of those in the department. Additionally, resources required for T&D, particularly time and money, are misused, which could influence the growth potential of the universities against the country’s Vision 2030 plan. The findings indicate procedural differences in selecting and approving staff requests for Human Resource Development (HRD) support, managerial discretion in selecting participants for HRD programmes, and selective or restricted access to HRD programmes for foreign-born employees, which raises significant questions about equality policies. This study is unique as a contribution to the literature in exploring the challenges faced by the TNA process in Saudi Arabian Higher Education, therefore broadening understanding in the field as a whole, especially concerning the developing countries and Gulf Cooperation Council of Nations. The study concludes that there is currently unsatisfactory commitment in determining the staff training needs by the HR departments of Saudi Arabian public universities, which damages morale and leads to a lack of faith between HR directors and departmental staff. Finally, this study contributes to the area of policy decision-making by reporting the present situation surrounding the issues related to the application of TNA in T&D.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"52 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72564029","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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