Brad Beauvais, Rohit Pradhan, Diane Dolezel, Ramalingam Shanmugam, Dan Wood, Zo Ramamonjiarivelo
Objectives: To address urgent staffing shortages, hospitals increasingly rely on agency labor. Given that staffing can significantly impact hospital performance, the aim of this study was to understand the organizational and market factors associated with agency labor utilization in US hospitals. Methods: Utilizing concepts from the Resource Dependence Theory (RDT), data for the calendar year 2022 for short-term acute care in United States hospitals (n = 2756) were analyzed with logistic regression analysis. We explored total agency labor expense (operationalized as a dichotomous variable at the 75th and 90th percentiles) in the presence of numerous organizational and market independent variables. Results: The results revealed that as markets become less complex (as measured by market concentration), the level of agency labor expense increases (β: 0.843, p < 0.001), while our chosen variables related to munificence (rural location; β: −1.634, p < 0.001) and dynamism (Medicare payor mix; β: −0.025, p < 0.001) were negatively associated with an increase in total agency labor expense. Conclusions: In general, our results appear to support the tenets of the RDT. We find that increased use of agency labor in hospitals is predicated on the hospital having the financial resources and flexibility to be able to afford the higher cost of agency labor.
{"title":"The Association between Organizational Market Factors and Agency Labor Utilization in U.S. Hospitals","authors":"Brad Beauvais, Rohit Pradhan, Diane Dolezel, Ramalingam Shanmugam, Dan Wood, Zo Ramamonjiarivelo","doi":"10.3390/admsci14090192","DOIUrl":"https://doi.org/10.3390/admsci14090192","url":null,"abstract":"Objectives: To address urgent staffing shortages, hospitals increasingly rely on agency labor. Given that staffing can significantly impact hospital performance, the aim of this study was to understand the organizational and market factors associated with agency labor utilization in US hospitals. Methods: Utilizing concepts from the Resource Dependence Theory (RDT), data for the calendar year 2022 for short-term acute care in United States hospitals (n = 2756) were analyzed with logistic regression analysis. We explored total agency labor expense (operationalized as a dichotomous variable at the 75th and 90th percentiles) in the presence of numerous organizational and market independent variables. Results: The results revealed that as markets become less complex (as measured by market concentration), the level of agency labor expense increases (β: 0.843, p < 0.001), while our chosen variables related to munificence (rural location; β: −1.634, p < 0.001) and dynamism (Medicare payor mix; β: −0.025, p < 0.001) were negatively associated with an increase in total agency labor expense. Conclusions: In general, our results appear to support the tenets of the RDT. We find that increased use of agency labor in hospitals is predicated on the hospital having the financial resources and flexibility to be able to afford the higher cost of agency labor.","PeriodicalId":30376,"journal":{"name":"Administrative Sciences","volume":"3 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142202158","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}
Ahmad Nasser Abuzaid, Mohammed Yasin Ghadi, Saif-aldeen Marwan Madadha, Manal Mohammad Alateeq
The study assesses a model designed to investigate the mediating impact of psychological empowerment, job crafting, and proactive personality, and to examine the moderating influence of person–organization fit on the relationship between ethical leadership and employee innovative behavior. A sample of 782 full-time employees from various industries in Jordan were surveyed to gather data on ethical leadership, innovative work behaviors, psychological empowerment, job crafting, proactive personality, and person–organization fit. The study employed an empirical research design, with data collected through surveys. The results reveal a positive correlation between ethical leadership and innovative work behavior, with psychological empowerment, job crafting, and proactive personality as the mediators in this relationship. The link between ethical leadership and innovation work behaviors is also moderated by person–organization fit. The study’s model suggests that ethical leadership practices enhance innovation. Prioritizing ethical principles, transparency, fairness, trust, and accountability cultivates a culture valuing ethics and encouraging innovation. The results provide insights to boost empowerment and proactive behaviors and highlight the importance of a person–organization fit that aligns values for an innovation-friendly workplace. Fit considerations should also be incorporated in recruitment and retention processes. The study makes significant theoretical contributions by synthesizing insights from ethical leadership theory and developing a comprehensive framework to understand how ethical leadership influences innovative work behavior. The research also extends prior work by examining the moderating role of person–organization fit by emphasizing the importance of aligning individual and organizational values in fostering innovation.
{"title":"The Effect of Ethical Leadership on Innovative Work Behaviors: A Mediating–Moderating Model of Psychological Empowerment, Job Crafting, Proactive Personality, and Person–Organization Fit","authors":"Ahmad Nasser Abuzaid, Mohammed Yasin Ghadi, Saif-aldeen Marwan Madadha, Manal Mohammad Alateeq","doi":"10.3390/admsci14090191","DOIUrl":"https://doi.org/10.3390/admsci14090191","url":null,"abstract":"The study assesses a model designed to investigate the mediating impact of psychological empowerment, job crafting, and proactive personality, and to examine the moderating influence of person–organization fit on the relationship between ethical leadership and employee innovative behavior. A sample of 782 full-time employees from various industries in Jordan were surveyed to gather data on ethical leadership, innovative work behaviors, psychological empowerment, job crafting, proactive personality, and person–organization fit. The study employed an empirical research design, with data collected through surveys. The results reveal a positive correlation between ethical leadership and innovative work behavior, with psychological empowerment, job crafting, and proactive personality as the mediators in this relationship. The link between ethical leadership and innovation work behaviors is also moderated by person–organization fit. The study’s model suggests that ethical leadership practices enhance innovation. Prioritizing ethical principles, transparency, fairness, trust, and accountability cultivates a culture valuing ethics and encouraging innovation. The results provide insights to boost empowerment and proactive behaviors and highlight the importance of a person–organization fit that aligns values for an innovation-friendly workplace. Fit considerations should also be incorporated in recruitment and retention processes. The study makes significant theoretical contributions by synthesizing insights from ethical leadership theory and developing a comprehensive framework to understand how ethical leadership influences innovative work behavior. The research also extends prior work by examining the moderating role of person–organization fit by emphasizing the importance of aligning individual and organizational values in fostering innovation.","PeriodicalId":30376,"journal":{"name":"Administrative Sciences","volume":"104 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142202160","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}
Julio César Acosta-Prado, Carlos Guillermo Hernández-Cenzano, Carlos David Villalta-Herrera, Eloy Wilfredo Barahona-Silva
Insurance companies are experiencing unprecedented growth due to several emerging technology functionalities that have transformed the industry’s operations. Through the Three Horizons framework, this study explores the technical skills required to use artificial intelligence (AI) for the sustainability of insurance companies. Methodologically, it was carried out in two stages: First, defining the state-of-the-art, which included analysis of the current situation and studying technological surveillance. Second, technical skills and their strategic prevalence were identified for the design of each horizon. As a result, the adoption of AI in insurance companies allows them to transform their personal and data-intensive processes into engines of efficiency and knowledge, redefining the way companies in the sector offer their services. This study identifies the immediate benefits of AI in insurance companies. It provides a strategic framework for future innovation, emphasizing the importance of developing AI competencies to ensure long-term sustainability.
{"title":"Three Horizons of Technical Skills in Artificial Intelligence for the Sustainability of Insurance Companies","authors":"Julio César Acosta-Prado, Carlos Guillermo Hernández-Cenzano, Carlos David Villalta-Herrera, Eloy Wilfredo Barahona-Silva","doi":"10.3390/admsci14090190","DOIUrl":"https://doi.org/10.3390/admsci14090190","url":null,"abstract":"Insurance companies are experiencing unprecedented growth due to several emerging technology functionalities that have transformed the industry’s operations. Through the Three Horizons framework, this study explores the technical skills required to use artificial intelligence (AI) for the sustainability of insurance companies. Methodologically, it was carried out in two stages: First, defining the state-of-the-art, which included analysis of the current situation and studying technological surveillance. Second, technical skills and their strategic prevalence were identified for the design of each horizon. As a result, the adoption of AI in insurance companies allows them to transform their personal and data-intensive processes into engines of efficiency and knowledge, redefining the way companies in the sector offer their services. This study identifies the immediate benefits of AI in insurance companies. It provides a strategic framework for future innovation, emphasizing the importance of developing AI competencies to ensure long-term sustainability.","PeriodicalId":30376,"journal":{"name":"Administrative Sciences","volume":"14 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142202159","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}
Entrepreneurial endeavours often begin with entrepreneurship training. Such trainings, however, remain largely inaccessible to Persons with Disabilities (PWDs), and thus, their entrepreneurial potential remains untapped. This comprehensive literature review examines the barriers to entrepreneurship education for PWDs and identifies strategies to overcome these challenges. The review follows the systematic approach of the PRISMA 2020 Statement, using five databases, including Scopus, JSTOR, ProQuest, DOAJ, and Google Scholar. A total of 2140 articles dating back 10 years were identified, screened, and evaluated, and 17 of them were selected and synthesized to inform the findings. The key findings highlight a spectrum of barriers, including inadequate access to quality education, difficulty in customizing entrepreneurship programs, issues related to both physical and digital access, financial barriers, and the influence of societal norms and self-perception. They also identify strategies to make entrepreneurship education more inclusive, such as applying universal design principles, tailoring education to individual needs, shifting towards active learner-centred methodologies, leveraging information technology, and fostering supportive communities. This review is a practical reference for institutions, organizations, and individuals endeavouring to enhance the inclusivity of entrepreneurship training programs. It also provides a theoretical framework for the already identified requirements of PWDs for entrepreneurship training and presents further opportunities through current limitations and suggestions for future research.
{"title":"Accessibility of Entrepreneurship Training Programs for Individuals with Disabilities: A Literature Review","authors":"Somrudee Tiasakul, Ramy Abdulzaher, Carlos Bazan","doi":"10.3390/admsci14080187","DOIUrl":"https://doi.org/10.3390/admsci14080187","url":null,"abstract":"Entrepreneurial endeavours often begin with entrepreneurship training. Such trainings, however, remain largely inaccessible to Persons with Disabilities (PWDs), and thus, their entrepreneurial potential remains untapped. This comprehensive literature review examines the barriers to entrepreneurship education for PWDs and identifies strategies to overcome these challenges. The review follows the systematic approach of the PRISMA 2020 Statement, using five databases, including Scopus, JSTOR, ProQuest, DOAJ, and Google Scholar. A total of 2140 articles dating back 10 years were identified, screened, and evaluated, and 17 of them were selected and synthesized to inform the findings. The key findings highlight a spectrum of barriers, including inadequate access to quality education, difficulty in customizing entrepreneurship programs, issues related to both physical and digital access, financial barriers, and the influence of societal norms and self-perception. They also identify strategies to make entrepreneurship education more inclusive, such as applying universal design principles, tailoring education to individual needs, shifting towards active learner-centred methodologies, leveraging information technology, and fostering supportive communities. This review is a practical reference for institutions, organizations, and individuals endeavouring to enhance the inclusivity of entrepreneurship training programs. It also provides a theoretical framework for the already identified requirements of PWDs for entrepreneurship training and presents further opportunities through current limitations and suggestions for future research.","PeriodicalId":30376,"journal":{"name":"Administrative Sciences","volume":"6 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142202161","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}
Glória Rebelo, Catarina Delaunay, Alexandre Martins, Maria Fernanda Diamantino, António R. Almeida
The aim of this study is to identify women’s perceptions of the main reasons for discrimination at work. Furthermore, the aim is to analyse the effects of public working time policies on gender equality and their impact on discrimination at work and on women’s career paths. This article presents a framework for the topic through an analysis of documents and literature, as well as an exploratory study carried out in Portugal. Working time policies since 2011 in Portugal are examined and through an empirical study, the impact of overtime on women’s work and careers is analysed. The documentary analysis carried out in Portugal shows the difficulties women face in reconciling work with family and personal life. While most studies focus on job satisfaction and women’s willingness to work long hours for better career progression, this paper examines gender discrimination at work associated with working time policies. Gender equality and women’s empowerment are among the goals set by the 2030 Agenda for Sustainable Development. This study, based on a survey completed by female employees, concludes that women feel discriminated against in their careers due not only to the persistence of gender stereotypes but also to long working hours. Studying women’s perceptions of the reasons for discrimination at work, as well as the relationship between working time and equality at work, can be important for understanding the under-representation of women in leadership positions and can help enrich public policies in this area.
{"title":"Women’s Perceptions of Discrimination at Work: Gender Stereotypes and Overtime—An Exploratory Study in Portugal","authors":"Glória Rebelo, Catarina Delaunay, Alexandre Martins, Maria Fernanda Diamantino, António R. Almeida","doi":"10.3390/admsci14080188","DOIUrl":"https://doi.org/10.3390/admsci14080188","url":null,"abstract":"The aim of this study is to identify women’s perceptions of the main reasons for discrimination at work. Furthermore, the aim is to analyse the effects of public working time policies on gender equality and their impact on discrimination at work and on women’s career paths. This article presents a framework for the topic through an analysis of documents and literature, as well as an exploratory study carried out in Portugal. Working time policies since 2011 in Portugal are examined and through an empirical study, the impact of overtime on women’s work and careers is analysed. The documentary analysis carried out in Portugal shows the difficulties women face in reconciling work with family and personal life. While most studies focus on job satisfaction and women’s willingness to work long hours for better career progression, this paper examines gender discrimination at work associated with working time policies. Gender equality and women’s empowerment are among the goals set by the 2030 Agenda for Sustainable Development. This study, based on a survey completed by female employees, concludes that women feel discriminated against in their careers due not only to the persistence of gender stereotypes but also to long working hours. Studying women’s perceptions of the reasons for discrimination at work, as well as the relationship between working time and equality at work, can be important for understanding the under-representation of women in leadership positions and can help enrich public policies in this area.","PeriodicalId":30376,"journal":{"name":"Administrative Sciences","volume":"13 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142202162","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}
This study explores the relationship between digital access, protection, and adoption in supporting technological entrepreneurship within national digital ecosystems. The study utilised PROCESS regression analysis on the Global Entrepreneurship Development Institute (GEDI)’s Digital Development Economy (DPE) Index 2020 dataset to examine selected digital factors’ direct and indirect effects on entrepreneurial activity across 116 countries. While the relationship between digital access, adoption, protection, and technological entrepreneurship has been established in previous research, this study provides global evidence to reinforce this connection. However, digital protection did not significantly moderate the effect of digital access. Notably, digital adoption emerged as a significant mediator, influencing the impacts of both access and protection on entrepreneurial outcomes. This study emphasises the importance of understanding the complex relationships between digital factors in cultivating a thriving entrepreneurial ecosystem, offering valuable insights for policymakers and practitioners seeking to stimulate technological innovation and economic growth.
本研究探讨了在国家数字生态系统中，数字访问、保护和采用在支持技术创业方面的关系。研究利用全球创业发展研究所（GEDI）的 "2020 年数字发展经济（DPE）指数 "数据集进行 PROCESS 回归分析，考察了 116 个国家选定的数字因素对创业活动的直接和间接影响。虽然数字接入、采用、保护和技术创业之间的关系已在以往的研究中确立，但本研究提供了全球性证据来加强这种联系。然而，数字保护并没有在很大程度上缓和数字获取的影响。值得注意的是，数字技术的采用是一个重要的中介因素，影响着获取和保护对创业结果的影响。这项研究强调了理解数字因素之间的复杂关系对于培育繁荣的创业生态系统的重要性，为决策者和从业者提供了宝贵的见解，以激励技术创新和经济增长。
{"title":"Unravelling the Digital Thread: How Access, Protection, and Adoption Drive Technological Entrepreneurship","authors":"Takawira Munyaradzi Ndofirepi, Renier Steyn","doi":"10.3390/admsci14080185","DOIUrl":"https://doi.org/10.3390/admsci14080185","url":null,"abstract":"This study explores the relationship between digital access, protection, and adoption in supporting technological entrepreneurship within national digital ecosystems. The study utilised PROCESS regression analysis on the Global Entrepreneurship Development Institute (GEDI)’s Digital Development Economy (DPE) Index 2020 dataset to examine selected digital factors’ direct and indirect effects on entrepreneurial activity across 116 countries. While the relationship between digital access, adoption, protection, and technological entrepreneurship has been established in previous research, this study provides global evidence to reinforce this connection. However, digital protection did not significantly moderate the effect of digital access. Notably, digital adoption emerged as a significant mediator, influencing the impacts of both access and protection on entrepreneurial outcomes. This study emphasises the importance of understanding the complex relationships between digital factors in cultivating a thriving entrepreneurial ecosystem, offering valuable insights for policymakers and practitioners seeking to stimulate technological innovation and economic growth.","PeriodicalId":30376,"journal":{"name":"Administrative Sciences","volume":"12 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142202163","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}
The paper aims to identify, characterize, and determine the method of managerial activities in the value creation process for buyers and suppliers with the subsequent determination of their significance. The study employs a hybrid methodology combining theoretical and empirical approaches. The theoretical framework was developed through a systematic review of contemporary literature, leading to the creation of a procedural model for effective value creation in B2B environments. This model outlines key managerial activities, including the diversification of suppliers and buyers, securing communication channels, value identification, determination of value creation variants, and feedback evaluation. To empirically validate this framework, interviews were conducted with managers from twenty Slovak manufacturing enterprises. These interviews aimed to assess the alignment between the theoretical model and actual managerial practices and to identify any discrepancies or areas for improvement. The findings indicate that while managers engage in several key activities intuitively, there are notable variations in the application of specific practices. The study contributes to the literature by bridging theoretical concepts with practical implementation. It offers actionable recommendations for enhancing value creation processes, highlighting the importance of aligning managerial practices with theoretical best practices to achieve better stakeholder satisfaction and business success.
{"title":"Enhancing Stakeholder Value: Managerial Activities in the Value Creation Process for Suppliers and Buyer—Evidence from Slovak Enterprises","authors":"Dana Kusnirova, Maria Durisova, Oliver Bubeliny","doi":"10.3390/admsci14080186","DOIUrl":"https://doi.org/10.3390/admsci14080186","url":null,"abstract":"The paper aims to identify, characterize, and determine the method of managerial activities in the value creation process for buyers and suppliers with the subsequent determination of their significance. The study employs a hybrid methodology combining theoretical and empirical approaches. The theoretical framework was developed through a systematic review of contemporary literature, leading to the creation of a procedural model for effective value creation in B2B environments. This model outlines key managerial activities, including the diversification of suppliers and buyers, securing communication channels, value identification, determination of value creation variants, and feedback evaluation. To empirically validate this framework, interviews were conducted with managers from twenty Slovak manufacturing enterprises. These interviews aimed to assess the alignment between the theoretical model and actual managerial practices and to identify any discrepancies or areas for improvement. The findings indicate that while managers engage in several key activities intuitively, there are notable variations in the application of specific practices. The study contributes to the literature by bridging theoretical concepts with practical implementation. It offers actionable recommendations for enhancing value creation processes, highlighting the importance of aligning managerial practices with theoretical best practices to achieve better stakeholder satisfaction and business success.","PeriodicalId":30376,"journal":{"name":"Administrative Sciences","volume":"8 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142202164","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}
In the era of digitization and technical breakthroughs, artificial intelligence (AI) has progressively found its way into the field of customer relationship management (CRM), bringing benefits as well as difficulties to businesses. AI, particularly in the context of CRM, employs machine learning (ML) and deep learning (DL) techniques to extract knowledge from data, recognize trends, make decisions, and learn from mistakes with minimal human intervention. Successful firms have effectively integrated AI into CRM for predictive analytics, computer vision, sentiment analysis, personalized recommendations, chatbots and virtual assistants, and voice and speech recognition. AI-driven chatbots, one of the AI-powered CRM systems, arose as a disruptive approach to customer service, and as such, unfolded with economic and managerial ramifications in CRM. Given the literature’s focus on other AI-driven systems, there is an obvious need for an investigation of industry applications and the implications of AI-driven chatbots in CRM. The purpose of this study is to explore and elucidate the economic and managerial implications of AI-powered chatbots within CRM systems. This investigation aims to provide a comprehensive understanding of how these technologies can enhance customer interactions, streamline business processes, and impact organizational strategies. To reach this goal, this study conducts a comparative qualitative analysis based on many interviews with experts and contributors in the field. Interviews with CRM specialists yielded insights into the use of AI-driven chatbots in CRM and their impact on the industry. The primary advantages identified in this study were the impact of AI-powered chatbots on cost, efficiency, and human performance. In addition, AI chatbots have proven useful in a variety of industries, including retail and tourism. Nonetheless, there were limitations to its usage in the healthcare system, particularly in terms of ethical problems.
{"title":"AI-Driven Chatbots in CRM: Economic and Managerial Implications across Industries","authors":"Chadi Khneyzer, Zaher Boustany, Jean Dagher","doi":"10.3390/admsci14080182","DOIUrl":"https://doi.org/10.3390/admsci14080182","url":null,"abstract":"In the era of digitization and technical breakthroughs, artificial intelligence (AI) has progressively found its way into the field of customer relationship management (CRM), bringing benefits as well as difficulties to businesses. AI, particularly in the context of CRM, employs machine learning (ML) and deep learning (DL) techniques to extract knowledge from data, recognize trends, make decisions, and learn from mistakes with minimal human intervention. Successful firms have effectively integrated AI into CRM for predictive analytics, computer vision, sentiment analysis, personalized recommendations, chatbots and virtual assistants, and voice and speech recognition. AI-driven chatbots, one of the AI-powered CRM systems, arose as a disruptive approach to customer service, and as such, unfolded with economic and managerial ramifications in CRM. Given the literature’s focus on other AI-driven systems, there is an obvious need for an investigation of industry applications and the implications of AI-driven chatbots in CRM. The purpose of this study is to explore and elucidate the economic and managerial implications of AI-powered chatbots within CRM systems. This investigation aims to provide a comprehensive understanding of how these technologies can enhance customer interactions, streamline business processes, and impact organizational strategies. To reach this goal, this study conducts a comparative qualitative analysis based on many interviews with experts and contributors in the field. Interviews with CRM specialists yielded insights into the use of AI-driven chatbots in CRM and their impact on the industry. The primary advantages identified in this study were the impact of AI-powered chatbots on cost, efficiency, and human performance. In addition, AI chatbots have proven useful in a variety of industries, including retail and tourism. Nonetheless, there were limitations to its usage in the healthcare system, particularly in terms of ethical problems.","PeriodicalId":30376,"journal":{"name":"Administrative Sciences","volume":"27 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142202166","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}
Understanding the salience of university attributes assists institutions in developing messaging strategies (using social responsibility communication (SRC) initiatives) to meet students’ needs. This research examines which university attributes hold the greatest significance and importance for students selecting a higher-education institution (HEI), focusing on the role of SRC as a mediator. An online survey with a sample of 120 university students was conducted. The findings indicate that the cost of education, employment opportunities, physical aspects and resources, and university image are important attributes. The study shows that while university attributes significantly predict SRC (Model 1), neither university attributes nor SRC significantly predicts student attitudes (Models 2 and 3). The mediation analysis confirms that SRC does not mediate the relationship between university attributes and students’ attitudes, suggesting that factors other than university attributes and SRC may play a more critical role in shaping students’ attitudes.
{"title":"Evaluating University Attributes and Their Influence on Students’ Attitudes: The Mediating Role of Social Responsibility Communication","authors":"Mokhtar Elareshi, Samar Ben Romdhane, Wasim Ahmed","doi":"10.3390/admsci14080183","DOIUrl":"https://doi.org/10.3390/admsci14080183","url":null,"abstract":"Understanding the salience of university attributes assists institutions in developing messaging strategies (using social responsibility communication (SRC) initiatives) to meet students’ needs. This research examines which university attributes hold the greatest significance and importance for students selecting a higher-education institution (HEI), focusing on the role of SRC as a mediator. An online survey with a sample of 120 university students was conducted. The findings indicate that the cost of education, employment opportunities, physical aspects and resources, and university image are important attributes. The study shows that while university attributes significantly predict SRC (Model 1), neither university attributes nor SRC significantly predicts student attitudes (Models 2 and 3). The mediation analysis confirms that SRC does not mediate the relationship between university attributes and students’ attitudes, suggesting that factors other than university attributes and SRC may play a more critical role in shaping students’ attitudes.","PeriodicalId":30376,"journal":{"name":"Administrative Sciences","volume":"9 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142202165","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}
Marcelo Bronzo, Marcelo Werneck Barbosa, Paulo Renato de Sousa, Noel Torres Junior, Marcos Paulo Valadares de Oliveira
Big data analytics capabilities (BDACs) are strategic capabilities that expedite decision-making processes, empowering organizations to mitigate the impacts of supply chain disruptions. These capabilities enhance the ability of companies to be more proactive in detecting and predicting disruptive events, increasing their resilience. This study analyzed the effects BDACs have on firms’ reaction time and the effects companies’ reaction time has on their resilience. The research model was assessed with 263 responses from a survey with professionals of auto-parts companies in Brazil. Data were analyzed with the Partial-Least-Squares—Structural Equation Modeling method. Cluster analysis techniques were also applied. This study found that BDACs reduce reaction time, which, in turn, improves firms’ resilience. We also observed greater effects in first-tier and in companies with longer Industry 4.0 journeys, opening further perspectives to investigate the complex mediations of digital readiness, reaction time, and organizational resilience performance of firms and supply chains. Our research builds upon the dynamic capabilities theory and identifies BDACs as dynamic capabilities with the potential to enhance resilience by reducing data, analytical, and decision latencies, which are recognized as core elements of the reaction time concept, which is particularly crucial during disruptive supply chain events.
{"title":"Leveraging Supply Chain Reaction Time: The Effects of Big Data Analytics Capabilities on Organizational Resilience Enhancement in the Auto-Parts Industry","authors":"Marcelo Bronzo, Marcelo Werneck Barbosa, Paulo Renato de Sousa, Noel Torres Junior, Marcos Paulo Valadares de Oliveira","doi":"10.3390/admsci14080181","DOIUrl":"https://doi.org/10.3390/admsci14080181","url":null,"abstract":"Big data analytics capabilities (BDACs) are strategic capabilities that expedite decision-making processes, empowering organizations to mitigate the impacts of supply chain disruptions. These capabilities enhance the ability of companies to be more proactive in detecting and predicting disruptive events, increasing their resilience. This study analyzed the effects BDACs have on firms’ reaction time and the effects companies’ reaction time has on their resilience. The research model was assessed with 263 responses from a survey with professionals of auto-parts companies in Brazil. Data were analyzed with the Partial-Least-Squares—Structural Equation Modeling method. Cluster analysis techniques were also applied. This study found that BDACs reduce reaction time, which, in turn, improves firms’ resilience. We also observed greater effects in first-tier and in companies with longer Industry 4.0 journeys, opening further perspectives to investigate the complex mediations of digital readiness, reaction time, and organizational resilience performance of firms and supply chains. Our research builds upon the dynamic capabilities theory and identifies BDACs as dynamic capabilities with the potential to enhance resilience by reducing data, analytical, and decision latencies, which are recognized as core elements of the reaction time concept, which is particularly crucial during disruptive supply chain events.","PeriodicalId":30376,"journal":{"name":"Administrative Sciences","volume":"55 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142202169","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：