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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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}
In this study, we chose to conduct a gender-based contextual analysis of research-performing organizations (RPOs) in the higher-education sector in Albania as a first step toward the implementation of gender budgeting (GB). Our rationale for conducting such a contextual analysis is the overarching need to achieve the European Commission’s strategic objectives regarding gender equality in research and innovation. To carry out this analysis, we used reports from She Figures to calculate dominant gender indicators; these reports were produced in collaboration with the statistics published by the Institute of Statistics of Albania. Our methodology is based on a mixed-methods approach that aims to better our understanding of the situation in Albania. The quantitative findings provided by our contextual analysis within academia were synthesized with qualitative findings resulting from a comparative analysis of the content of gender equality plans (GEPs) currently being implemented by thirteen universities in Albania. The results of our contextual analysis study show that even though women account for more than half of the total population of researchers at the national level, playing a significant role in research and innovation, we recommend that the government develop its first national GEP to counteract the inequality that persists in the career trajectories of women and men. GB represents an effective strategy for reducing gender inequality in this context. The supporting results of the content analysis indicate that the phenomenon of vertical segregation has been identified in the great majority of RPOs that have carried out gender-based contextual analyses; moreover, we observed the interaction of GB with GEPs within three such organizations’ approach to the gender-based allocation of finances.
{"title":"Gender Budgeting: A Contextual Analysis of the Higher-Education Sector in Albania","authors":"Brunilda Llaftiu, Ingrid Shuli","doi":"10.3390/admsci14080180","DOIUrl":"https://doi.org/10.3390/admsci14080180","url":null,"abstract":"In this study, we chose to conduct a gender-based contextual analysis of research-performing organizations (RPOs) in the higher-education sector in Albania as a first step toward the implementation of gender budgeting (GB). Our rationale for conducting such a contextual analysis is the overarching need to achieve the European Commission’s strategic objectives regarding gender equality in research and innovation. To carry out this analysis, we used reports from She Figures to calculate dominant gender indicators; these reports were produced in collaboration with the statistics published by the Institute of Statistics of Albania. Our methodology is based on a mixed-methods approach that aims to better our understanding of the situation in Albania. The quantitative findings provided by our contextual analysis within academia were synthesized with qualitative findings resulting from a comparative analysis of the content of gender equality plans (GEPs) currently being implemented by thirteen universities in Albania. The results of our contextual analysis study show that even though women account for more than half of the total population of researchers at the national level, playing a significant role in research and innovation, we recommend that the government develop its first national GEP to counteract the inequality that persists in the career trajectories of women and men. GB represents an effective strategy for reducing gender inequality in this context. The supporting results of the content analysis indicate that the phenomenon of vertical segregation has been identified in the great majority of RPOs that have carried out gender-based contextual analyses; moreover, we observed the interaction of GB with GEPs within three such organizations’ approach to the gender-based allocation of finances.","PeriodicalId":30376,"journal":{"name":"Administrative Sciences","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142202167","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}
Aihie Osarenkhoe, Daniella Fjellström, Tove Gioeli, Anna Backer-Meurke
There are calls in the extant literature for further exploration into the factors influencing customer satisfaction in industrial vending solutions (IVS), a distinct vendor-managed inventory method. This study delves into these factors, identifying primary drivers of satisfaction, perceptions of service quality, and indicators of trust and commitment in B2B IVS. It examines how IVS execution impacts perceived service quality through in-depth semi-structured interviews with B2B customers, focusing on efficiency, user-friendliness, and timeliness as key satisfaction drivers. Trust in the customer–supplier relationship positively affects commitment to the supplier. Successful IVS implementation enhances inventory control, customer service, and cost management. Supply chain managers can use these insights to evaluate vending solutions. Future research could explore supplier perceptions of vendor-managed inventory (VMI) success and conduct larger quantitative studies. This study distinguishes itself by focusing on the primary drivers of customer satisfaction and the perception of service quality in B2B IVS environments. It offers a conceptual framework for managing customer satisfaction, product development, and marketing strategies in IVS, addressing a gap in the literature on IVS within VMI contexts.
{"title":"Conceptual Framework for Unlocking Customer Satisfaction Drivers in Digital Vendor-Managed Inventory Systems","authors":"Aihie Osarenkhoe, Daniella Fjellström, Tove Gioeli, Anna Backer-Meurke","doi":"10.3390/admsci14080179","DOIUrl":"https://doi.org/10.3390/admsci14080179","url":null,"abstract":"There are calls in the extant literature for further exploration into the factors influencing customer satisfaction in industrial vending solutions (IVS), a distinct vendor-managed inventory method. This study delves into these factors, identifying primary drivers of satisfaction, perceptions of service quality, and indicators of trust and commitment in B2B IVS. It examines how IVS execution impacts perceived service quality through in-depth semi-structured interviews with B2B customers, focusing on efficiency, user-friendliness, and timeliness as key satisfaction drivers. Trust in the customer–supplier relationship positively affects commitment to the supplier. Successful IVS implementation enhances inventory control, customer service, and cost management. Supply chain managers can use these insights to evaluate vending solutions. Future research could explore supplier perceptions of vendor-managed inventory (VMI) success and conduct larger quantitative studies. This study distinguishes itself by focusing on the primary drivers of customer satisfaction and the perception of service quality in B2B IVS environments. It offers a conceptual framework for managing customer satisfaction, product development, and marketing strategies in IVS, addressing a gap in the literature on IVS within VMI contexts.","PeriodicalId":30376,"journal":{"name":"Administrative Sciences","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142202168","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}
Rosa Lutete Geremias, Miguel Pereira Lopes, Ana Maria Sotomayor
Organizational commitment is an indicator of organizational performance, regarding the attainment of competitive advantages. Knowing the factors that promote or inhibit organizational commitment fills a gap in the literature in the area of aversive leadership in Angola and reinforces the role of managers in promoting employees’ organizational commitment. This study aimed to analyze the moderating role of perceived aversive leadership in the relationship between psychological capital and organizational commitment. Although recent studies have indicated the negative effects of aversive leadership on organizational outcomes, the role of perceived aversive leadership on employees’ organizational commitment has not been tested. To this end, we applied a self-report questionnaire from 335 employees from different sectors of activity in Angola to examine this relationship. To analyze the results of the study, we used structural equation modeling. The results showed that the relevance of psychological capital in organizational commitment is highlighted when perceived aversive leadership is low. On the other hand, when perceived aversive leadership is high, employees will exhibit lower levels of organizational commitment. This study may influence the adoption of more sophisticated leadership selection techniques, based on behavioral and situational interviews, to ensure that professionals with aversive behaviors cannot hold positions of responsibility.
{"title":"Linking Psychological Capital to Organizational Commitment: The Moderating Role of Perceived Aversive Leadership of Employees in Angola","authors":"Rosa Lutete Geremias, Miguel Pereira Lopes, Ana Maria Sotomayor","doi":"10.3390/admsci14080177","DOIUrl":"https://doi.org/10.3390/admsci14080177","url":null,"abstract":"Organizational commitment is an indicator of organizational performance, regarding the attainment of competitive advantages. Knowing the factors that promote or inhibit organizational commitment fills a gap in the literature in the area of aversive leadership in Angola and reinforces the role of managers in promoting employees’ organizational commitment. This study aimed to analyze the moderating role of perceived aversive leadership in the relationship between psychological capital and organizational commitment. Although recent studies have indicated the negative effects of aversive leadership on organizational outcomes, the role of perceived aversive leadership on employees’ organizational commitment has not been tested. To this end, we applied a self-report questionnaire from 335 employees from different sectors of activity in Angola to examine this relationship. To analyze the results of the study, we used structural equation modeling. The results showed that the relevance of psychological capital in organizational commitment is highlighted when perceived aversive leadership is low. On the other hand, when perceived aversive leadership is high, employees will exhibit lower levels of organizational commitment. This study may influence the adoption of more sophisticated leadership selection techniques, based on behavioral and situational interviews, to ensure that professionals with aversive behaviors cannot hold positions of responsibility.","PeriodicalId":30376,"journal":{"name":"Administrative Sciences","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142202170","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}
Ricardo Pacheco Coutinho, Bruno Barbosa Sousa, Vasco Ribeiro Santos
This research investigates the significant role of international volunteering, particularly through the European Solidarity Corps (ESC), in shaping the image of Barcelos as a tourist destination. The study specifically examines various volunteer programs in Barcelos, such as construction projects, teaching, and agricultural assistance. It focuses on the volunteers’ perceptions and motivations and on the impact of their experiences on the city’s touristic recognition. Using a mixed-methods approach, this research analyzes responses from electronic surveys with 92 former ESC volunteers and interviews with four local organizations that host these participants. The findings reveal that international volunteering through specific programs enhances Barcelos’ image as a welcoming, culturally rich, and civically engaged tourist destination. This research highlights the importance of integrating such initiatives into the city’s tourism management strategy, suggesting that such efforts can significantly enrich the tourist experience and the overall image of the destination. Furthermore, the study identifies areas for future research, including the need for a more in-depth analysis of the long-term impact of these volunteering activities on the local economy and cultural sustainability. The limitations of the study, such as the use of a convenience sample and the reliance on self-reported data, which may influence the results and their generalizability, are also discussed. In conclusion, this work provides valuable insights for tourism managers and policymakers, demonstrating how international volunteering can be a strategic component in enhancing the image of tourist destinations. Through careful and strategic management, Barcelos can continue to develop and promote its identity as a destination for solidarity tourism and cultural vibrancy.
{"title":"The Importance of International Volunteering for the Tourist Destination Image: Case Study in Barcelos (Portugal)","authors":"Ricardo Pacheco Coutinho, Bruno Barbosa Sousa, Vasco Ribeiro Santos","doi":"10.3390/admsci14080178","DOIUrl":"https://doi.org/10.3390/admsci14080178","url":null,"abstract":"This research investigates the significant role of international volunteering, particularly through the European Solidarity Corps (ESC), in shaping the image of Barcelos as a tourist destination. The study specifically examines various volunteer programs in Barcelos, such as construction projects, teaching, and agricultural assistance. It focuses on the volunteers’ perceptions and motivations and on the impact of their experiences on the city’s touristic recognition. Using a mixed-methods approach, this research analyzes responses from electronic surveys with 92 former ESC volunteers and interviews with four local organizations that host these participants. The findings reveal that international volunteering through specific programs enhances Barcelos’ image as a welcoming, culturally rich, and civically engaged tourist destination. This research highlights the importance of integrating such initiatives into the city’s tourism management strategy, suggesting that such efforts can significantly enrich the tourist experience and the overall image of the destination. Furthermore, the study identifies areas for future research, including the need for a more in-depth analysis of the long-term impact of these volunteering activities on the local economy and cultural sustainability. The limitations of the study, such as the use of a convenience sample and the reliance on self-reported data, which may influence the results and their generalizability, are also discussed. In conclusion, this work provides valuable insights for tourism managers and policymakers, demonstrating how international volunteering can be a strategic component in enhancing the image of tourist destinations. Through careful and strategic management, Barcelos can continue to develop and promote its identity as a destination for solidarity tourism and cultural vibrancy.","PeriodicalId":30376,"journal":{"name":"Administrative Sciences","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142202178","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 defines the intrinsic and extrinsic motivational factors that influence the prevention of industrial technology leakage by high-tech company employees. It also investigates how these factors affect the employees’ intention to prevent leakage. Based on the TPB (theory of planned behavior), this study analyzes the relationship between “attitude toward behavior”, “subjective norm”, and “perceived behavioral control”, which in turn influences the behavioral intention to prevent such leakage. Specifically, an online survey was conducted among office workers in South Korea’s high-tech industry. A total of 200 questionnaires were collected and analyzed. As the analysis results show, intrinsic motivation has a positive effect on attitude toward behavior, subjective norms, and perceived behavioral control. Extrinsic motivation has a positive effect on subjective norms and perceived behavioral control but a negative effect on attitudes toward behavior. This study also proved, based on the TPB, that the three variables impact the behavioral intention to prevent technology leakage. These results confirm that, in the high-tech sector, where employees are highly specialized and autonomous, technical security behaviors are primarily influenced by individual professional ethics and judgment rather than by organizational regulation or extrinsic motivation.
{"title":"The Effect of Motivation on the Behavioral Intention to Protect Industrial Techniques of High-Tech Firms’ Employees","authors":"Sangwoo Lee, Boyoung Kim, Ureta Vaquero Ivan","doi":"10.3390/admsci14080176","DOIUrl":"https://doi.org/10.3390/admsci14080176","url":null,"abstract":"This study defines the intrinsic and extrinsic motivational factors that influence the prevention of industrial technology leakage by high-tech company employees. It also investigates how these factors affect the employees’ intention to prevent leakage. Based on the TPB (theory of planned behavior), this study analyzes the relationship between “attitude toward behavior”, “subjective norm”, and “perceived behavioral control”, which in turn influences the behavioral intention to prevent such leakage. Specifically, an online survey was conducted among office workers in South Korea’s high-tech industry. A total of 200 questionnaires were collected and analyzed. As the analysis results show, intrinsic motivation has a positive effect on attitude toward behavior, subjective norms, and perceived behavioral control. Extrinsic motivation has a positive effect on subjective norms and perceived behavioral control but a negative effect on attitudes toward behavior. This study also proved, based on the TPB, that the three variables impact the behavioral intention to prevent technology leakage. These results confirm that, in the high-tech sector, where employees are highly specialized and autonomous, technical security behaviors are primarily influenced by individual professional ethics and judgment rather than by organizational regulation or extrinsic motivation.","PeriodicalId":30376,"journal":{"name":"Administrative Sciences","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142202171","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 second-hand clothing (SHC) market has seen dynamic expansion, driven by shifts in consumer attitudes. However, motivations underlying customer engagement in this market remain largely unexplored. Accordingly, this study investigates factors driving consumer sentiment towards buying used clothing. Data were collected in 2023 from a sample of 254 European consumers. The results show that positive attitudes towards SHC are associated with high levels of economic, hedonic (treasure hunting) and ethical motivations, while strong fashion interest and materialism seem to coincide with more negative evaluations of SHC. Interestingly, treasure hunting motivation emerged as the strongest driver of SHC attitudes, surpassing both economic and ethical motivations, which were similar in strength. However, mediation analysis revealed complex interaction patterns among the attitudinal variables, with the potential of reversing the direction of average regression weights for individuals as well as subgroups of customers. This study offers a more nuanced understanding of consumer behavior in the SHC market. It provides practical recommendations for the marketing strategies of SHC vendors, and lays the groundwork for future research in this area.
{"title":"Sustainable Fashion Choices: Exploring European Consumer Motivations behind Second-Hand Clothing Purchases","authors":"Daniel Halicki, Piotr Zaborek, Grégoire Meylan","doi":"10.3390/admsci14080174","DOIUrl":"https://doi.org/10.3390/admsci14080174","url":null,"abstract":"The second-hand clothing (SHC) market has seen dynamic expansion, driven by shifts in consumer attitudes. However, motivations underlying customer engagement in this market remain largely unexplored. Accordingly, this study investigates factors driving consumer sentiment towards buying used clothing. Data were collected in 2023 from a sample of 254 European consumers. The results show that positive attitudes towards SHC are associated with high levels of economic, hedonic (treasure hunting) and ethical motivations, while strong fashion interest and materialism seem to coincide with more negative evaluations of SHC. Interestingly, treasure hunting motivation emerged as the strongest driver of SHC attitudes, surpassing both economic and ethical motivations, which were similar in strength. However, mediation analysis revealed complex interaction patterns among the attitudinal variables, with the potential of reversing the direction of average regression weights for individuals as well as subgroups of customers. This study offers a more nuanced understanding of consumer behavior in the SHC market. It provides practical recommendations for the marketing strategies of SHC vendors, and lays the groundwork for future research in this area.","PeriodicalId":30376,"journal":{"name":"Administrative Sciences","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141947371","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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