Pub Date : 2024-12-01DOI: 10.1016/j.joitmc.2024.100425
Nouhaila El Koufi, Abdessamad Belangour
Recently, e-commerce platforms have gained significant attention in the media. As the number of customers using these platforms continues to grow, they face challenges such as limited support, making it increasingly difficult for customers to find answers to their inquiries, leading to a high attrition rate. This study aims to address the issue of unanswered customer queries in online product discussion forums by leveraging a combination of SNA and deep learning techniques. The primary objective is to reduce the attrition rate by enhancing customer support through peer-to-peer interactions. Initially, we analyze the customer interaction network and thread structures using SNA to identify isolated inquiries. Following this, we apply a deep learning-based model to calculate a similarity score between these queries, which serves as the foundation for our semantic similarity approach to product discussion questions. The results of our experiment, conducted on a Moroccan e-commerce platform, demonstrate the efficacy of our recommendation method in connecting customers with relevant answers and fellow customers who can assist them. The proposed deep learning model provided an accuracy of 0.8529 and a mean squared error of 0.1168.
{"title":"Toward a recommender system for assisting customers at risk of churning in e-commerce platforms based on a combination of Social Network Analysis (SNA) and deep learning","authors":"Nouhaila El Koufi, Abdessamad Belangour","doi":"10.1016/j.joitmc.2024.100425","DOIUrl":"10.1016/j.joitmc.2024.100425","url":null,"abstract":"<div><div>Recently, e-commerce platforms have gained significant attention in the media. As the number of customers using these platforms continues to grow, they face challenges such as limited support, making it increasingly difficult for customers to find answers to their inquiries, leading to a high attrition rate. This study aims to address the issue of unanswered customer queries in online product discussion forums by leveraging a combination of SNA and deep learning techniques. The primary objective is to reduce the attrition rate by enhancing customer support through peer-to-peer interactions. Initially, we analyze the customer interaction network and thread structures using SNA to identify isolated inquiries. Following this, we apply a deep learning-based model to calculate a similarity score between these queries, which serves as the foundation for our semantic similarity approach to product discussion questions. The results of our experiment, conducted on a Moroccan e-commerce platform, demonstrate the efficacy of our recommendation method in connecting customers with relevant answers and fellow customers who can assist them. The proposed deep learning model provided an accuracy of 0.8529 and a mean squared error of 0.1168.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"10 4","pages":"Article 100425"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142744470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01DOI: 10.1016/j.joitmc.2024.100433
Ardi Artopo, Salamah Wahyuni
Turnover can be at the organizational or unit level, both of which can have negative impacts. The presence of internal turnover indicates employee dissatisfaction. This study aims to analyze the factors influencing internal turnover intention (ITI) with the mediating role of job satisfaction. The population studied were Civil Servants (CS) who held staff positions/equivalent to echelon III/equivalent. The sampling method used was simple random sampling which obtained 221 samples. The results showed that job satisfaction is significantly influenced by organizational commitment, salary, working conditions, and supervisor support. Recognition, promotion, and job involvement do not significantly affect job satisfaction. The mediating role of job satisfaction is evident only in the effects of salary, working conditions, supervisor support, and organizational commitment on ITI, while it is not proven in the effects of recognition, promotion, and job involvement on ITI. Furthermore, this study finds that job satisfaction has a negative and significant impact on ITI.
{"title":"Internal turnover intention in Indonesian government organization","authors":"Ardi Artopo, Salamah Wahyuni","doi":"10.1016/j.joitmc.2024.100433","DOIUrl":"10.1016/j.joitmc.2024.100433","url":null,"abstract":"<div><div>Turnover can be at the organizational or unit level, both of which can have negative impacts. The presence of internal turnover indicates employee dissatisfaction. This study aims to analyze the factors influencing internal turnover intention (ITI) with the mediating role of job satisfaction. The population studied were Civil Servants (CS) who held staff positions/equivalent to echelon III/equivalent. The sampling method used was simple random sampling which obtained 221 samples. The results showed that job satisfaction is significantly influenced by organizational commitment, salary, working conditions, and supervisor support. Recognition, promotion, and job involvement do not significantly affect job satisfaction. The mediating role of job satisfaction is evident only in the effects of salary, working conditions, supervisor support, and organizational commitment on ITI, while it is not proven in the effects of recognition, promotion, and job involvement on ITI. Furthermore, this study finds that job satisfaction has a negative and significant impact on ITI.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"10 4","pages":"Article 100433"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142744471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to provide insights to support organizations in building effective strategies for adopting Artificial Intelligence (AI) and improving project management processes. It focuses on open innovation projects. It employs a comprehensive and systematic literature review (SLR). A total of 365 publications have been chosen from a pool of 1265 papers in the IEEE and Scopus databases. The study develops a framework for literature synthesis guided by five research questions. Those questions address AI technologies, project management tasks, industries adopting AI, and requirements for successful adoption. The analysis reveals that Machine Learning is widely employed in project management, especially for predicting analytics, optimizing resources, and managing risks. AI improves open innovation project management by integrating diverse knowledge sources, enhancing collaboration, and providing strategic insights for decision-making. This study also found that AI adoption depends not only on technical infrastructure, integration with existing systems, and data readiness but also on leadership support, strategic alignment, financial resources, skills development, and organizational culture. The findings also highlight the importance of aligning AI initiatives with open innovation requirements, where collaboration, agility, and external knowledge integrations are crucial. The construction sector is at the forefront of adopting AI. This study fills a significant gap in previous research by identifying the technical and non-technical prerequisites for effectively incorporating AI into open innovation project management methodologies.
{"title":"Artificial intelligence in open innovation project management: A systematic literature review on technologies, applications, and integration requirements","authors":"Moonita Limiany Prasetyo , Randall Aginta Peranginangin , Nada Martinovic , Mohammad Ichsan , Hendro Wicaksono","doi":"10.1016/j.joitmc.2024.100445","DOIUrl":"10.1016/j.joitmc.2024.100445","url":null,"abstract":"<div><div>This study aims to provide insights to support organizations in building effective strategies for adopting Artificial Intelligence (AI) and improving project management processes. It focuses on open innovation projects. It employs a comprehensive and systematic literature review (SLR). A total of 365 publications have been chosen from a pool of 1265 papers in the IEEE and Scopus databases. The study develops a framework for literature synthesis guided by five research questions. Those questions address AI technologies, project management tasks, industries adopting AI, and requirements for successful adoption. The analysis reveals that Machine Learning is widely employed in project management, especially for predicting analytics, optimizing resources, and managing risks. AI improves open innovation project management by integrating diverse knowledge sources, enhancing collaboration, and providing strategic insights for decision-making. This study also found that AI adoption depends not only on technical infrastructure, integration with existing systems, and data readiness but also on leadership support, strategic alignment, financial resources, skills development, and organizational culture. The findings also highlight the importance of aligning AI initiatives with open innovation requirements, where collaboration, agility, and external knowledge integrations are crucial. The construction sector is at the forefront of adopting AI. This study fills a significant gap in previous research by identifying the technical and non-technical prerequisites for effectively incorporating AI into open innovation project management methodologies.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100445"},"PeriodicalIF":0.0,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Many companies struggle with strategy implementation due to the complex nature of execution. Some strategy execution systems depend on numerous indicators, making it challenging for managers to oversee effectively. Additionally, during times of financial difficulty, companies require a straightforward turnaround strategy execution system featuring clearly defined Key Performance Indicators (KPIs). This system should empower employees at all levels, fostering a shared sense of alignment and unity as the organization pursues common goals. The researchers aim to provide a simplified system for implementing turnaround strategies that ensures the company's profitability. To achieve this, they recommend utilizing daily Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA) as the primary KPI, as it is entirely under operational control. Moreover, EBITDA can be integrated into business processes and remains solely within the purview of operations leaders and employees, thereby cultivating a sense of ownership and accountability. Once the company reaches a certain level of profitability, it can then incorporate additional KPIs. The researchers developed hypotheses based on deductive reasoning following a comprehensive literature review. They analyzed qualitative data from interviews and quantitative data from surveys. After implementing their program in a ferry company, they observed an approximate 33 % increase in revenue, a staggering 300 % surge in EBITDA, and an expansion of the EBITDA margin by over 250 %. The researchers validated their hypotheses through multiple case studies across ferry, shipbuilding, and aircraft manufacturing companies. This research contributes to the development of a straightforward turnaround strategy execution system by translating strategic programs and EBITDA targets into actionable plans for business processes daily. This approach assists leaders and employees in enhancing company culture and systems to achieve improved performance and profitability. The researchers focus on executing turnaround strategies effectively within company operations.
{"title":"Enhancing operation effectiveness by maximizing daily EBITDA as a turnaround strategy execution system to enhance operation performance and profitability","authors":"Rudy Setyopurnomo , Sudarso K. Wiryono, Yuliani Dwi Lestari, Subiakto Sukarno","doi":"10.1016/j.joitmc.2024.100431","DOIUrl":"10.1016/j.joitmc.2024.100431","url":null,"abstract":"<div><div>Many companies struggle with strategy implementation due to the complex nature of execution. Some strategy execution systems depend on numerous indicators, making it challenging for managers to oversee effectively. Additionally, during times of financial difficulty, companies require a straightforward turnaround strategy execution system featuring clearly defined Key Performance Indicators (KPIs). This system should empower employees at all levels, fostering a shared sense of alignment and unity as the organization pursues common goals. The researchers aim to provide a simplified system for implementing turnaround strategies that ensures the company's profitability. To achieve this, they recommend utilizing daily Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA) as the primary KPI, as it is entirely under operational control. Moreover, EBITDA can be integrated into business processes and remains solely within the purview of operations leaders and employees, thereby cultivating a sense of ownership and accountability. Once the company reaches a certain level of profitability, it can then incorporate additional KPIs. The researchers developed hypotheses based on deductive reasoning following a comprehensive literature review. They analyzed qualitative data from interviews and quantitative data from surveys. After implementing their program in a ferry company, they observed an approximate 33 % increase in revenue, a staggering 300 % surge in EBITDA, and an expansion of the EBITDA margin by over 250 %. The researchers validated their hypotheses through multiple case studies across ferry, shipbuilding, and aircraft manufacturing companies. This research contributes to the development of a straightforward turnaround strategy execution system by translating strategic programs and EBITDA targets into actionable plans for business processes daily. This approach assists leaders and employees in enhancing company culture and systems to achieve improved performance and profitability. The researchers focus on executing turnaround strategies effectively within company operations.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100431"},"PeriodicalIF":0.0,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-23DOI: 10.1016/j.joitmc.2024.100440
Iman Bastanifar , Kashif Hasan Khan , Halil Koch
This paper investigates a key objective of BRICS: the establishment of an alternative international currency as part of a broader de-dollarization strategy. This effort has gained urgency, primarily due to Russia’s need to bypass Western sanctions and China’s advancement of the Belt and Road Initiative (BRI). By applying the Morris Method, the study introduces the BRICSIZATION index—a quantitative panel index measuring the level of independence from the dollar among BRICS members from 2003 to 2022. In the analysis, inflation rates and the Geopolitical Risk Index (GPR) of BRICS founding members are used as independent variables within a Panel Random Effect OLS and GLS model. The findings reveal that the average BRICSIZATION index is over 72 % out of 100 %, indicating a significant degree of progress toward de-dollarization. Within the BRICS framework, the currencies of Brazil, China, and South Africa are strong candidates for a new currency basket, achieving an average index of 93 %. Meanwhile, the currencies of India and Russia, with an average index of 37 %, are identified as weaker contributors to the basket. The study also highlights that economic instability—whether from inflation or heightened geopolitical tensions (as indicated by a rising GPR)—tends to reduce the BRICSIZATION index. This suggests that macroeconomic policies like inflation targeting, along with strengthened international relations among countries aiming for reduced dollar dependence, are essential to achieving de-dollarization. This analysis underscores the potential and challenges of creating a new currency bloc independent of the dollar, reflecting both the strategic interests and vulnerabilities within BRICS.
{"title":"Understanding BRICSIZATION through an economic geopolitical model","authors":"Iman Bastanifar , Kashif Hasan Khan , Halil Koch","doi":"10.1016/j.joitmc.2024.100440","DOIUrl":"10.1016/j.joitmc.2024.100440","url":null,"abstract":"<div><div>This paper investigates a key objective of BRICS: the establishment of an alternative international currency as part of a broader de-dollarization strategy. This effort has gained urgency, primarily due to Russia’s need to bypass Western sanctions and China’s advancement of the Belt and Road Initiative (BRI). By applying the Morris Method, the study introduces the BRICSIZATION index—a quantitative panel index measuring the level of independence from the dollar among BRICS members from 2003 to 2022. In the analysis, inflation rates and the Geopolitical Risk Index (GPR) of BRICS founding members are used as independent variables within a Panel Random Effect OLS and GLS model. The findings reveal that the average BRICSIZATION index is over 72 % out of 100 %, indicating a significant degree of progress toward de-dollarization. Within the BRICS framework, the currencies of Brazil, China, and South Africa are strong candidates for a new currency basket, achieving an average index of 93 %. Meanwhile, the currencies of India and Russia, with an average index of 37 %, are identified as weaker contributors to the basket. The study also highlights that economic instability—whether from inflation or heightened geopolitical tensions (as indicated by a rising GPR)—tends to reduce the BRICSIZATION index. This suggests that macroeconomic policies like inflation targeting, along with strengthened international relations among countries aiming for reduced dollar dependence, are essential to achieving de-dollarization. This analysis underscores the potential and challenges of creating a new currency bloc independent of the dollar, reflecting both the strategic interests and vulnerabilities within BRICS.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100440"},"PeriodicalIF":0.0,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142756865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-21DOI: 10.1016/j.joitmc.2024.100432
Jeevan John Varghese, M.K. Rao
This paper presents a model examining how resonant leadership (RL) influences creative performance (CP) in the rapidly evolving Indian IT sector. It specifically investigates how tacit knowledge sharing (TKS)—the informal, experience-based knowledge sharing and explicit knowledge sharing (EKS) mediate this relationship, alongside the role of knowledge reciprocity (KR) in linking RL with both types of knowledge sharing. A cross-sectional study was conducted involving 387 middle-level managers from various Indian IT firms using an online questionnaire, with data analyzed via the Partial Least Squares (PLS) method. The findings reveal significant positive influences of RL on TKS, EKS, KR, and CP. Additionally, TKS was found to partially mediate the relationship between RL and CP, while KR partially mediated the relationship between RL and both forms of knowledge sharing. These results provide actionable insights for executives and practitioners, emphasizing the implementation of resonant leadership and reciprocal knowledge sharing strategies to enhance creativity and performance in the Indian IT sector. This study contributes to existing literature by delineating the impacts of RL on KR, TKS, EKS, and CP, and explores multiple mediating relationships among these variables within the framework of social exchange theory.
{"title":"Unlocking creativity in tech: How resonant leadership fuels creative performance through knowledge sharing in Indian IT firms","authors":"Jeevan John Varghese, M.K. Rao","doi":"10.1016/j.joitmc.2024.100432","DOIUrl":"10.1016/j.joitmc.2024.100432","url":null,"abstract":"<div><div>This paper presents a model examining how resonant leadership (RL) influences creative performance (CP) in the rapidly evolving Indian IT sector. It specifically investigates how tacit knowledge sharing (TKS)—the informal, experience-based knowledge sharing and explicit knowledge sharing (EKS) mediate this relationship, alongside the role of knowledge reciprocity (KR) in linking RL with both types of knowledge sharing. A cross-sectional study was conducted involving 387 middle-level managers from various Indian IT firms using an online questionnaire, with data analyzed via the Partial Least Squares (PLS) method. The findings reveal significant positive influences of RL on TKS, EKS, KR, and CP. Additionally, TKS was found to partially mediate the relationship between RL and CP, while KR partially mediated the relationship between RL and both forms of knowledge sharing. These results provide actionable insights for executives and practitioners, emphasizing the implementation of resonant leadership and reciprocal knowledge sharing strategies to enhance creativity and performance in the Indian IT sector. This study contributes to existing literature by delineating the impacts of RL on KR, TKS, EKS, and CP, and explores multiple mediating relationships among these variables within the framework of social exchange theory.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"10 4","pages":"Article 100432"},"PeriodicalIF":0.0,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142721419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-21DOI: 10.1016/j.joitmc.2024.100430
Kala V. Krishnan , Murale Venugopalan , Padma Rao Sahib
The study aims to identify the factors associated with dropping out from government-supported skill certification programs, as perceived by the dropouts, their trainers, and their family members. This research contributes to the general topic of analysing the antecedents of dropouts from educational programs. To pursue our objective, a qualitative study involving a total of 17 in-depth interviews with trainees who discontinued participation in the skill certification program, their family members, and trainers was conducted. The study related educational dropout to a number of factors at the micro, meso, macro, and exosystem levels. Though there was general agreement among the trainees, trainers, and their family members regarding issues related to attendance and scheduling and government policy, opinions varied regarding the influence of other factors. The study discovered that by addressing the lack of awareness and providing courses that are more customized to individual needs and abilities, skill certification programs can reduce dropout. This research contributes to open social innovation by integrating diverse perspectives to develop actionable solutions for skill certification programs and promotes community-centered, accessible educational frameworks for sustainable social impact.
{"title":"Tailoring success: How individualised learning and increased awareness can combat dropout in skill development programs","authors":"Kala V. Krishnan , Murale Venugopalan , Padma Rao Sahib","doi":"10.1016/j.joitmc.2024.100430","DOIUrl":"10.1016/j.joitmc.2024.100430","url":null,"abstract":"<div><div>The study aims to identify the factors associated with dropping out from government-supported skill certification programs, as perceived by the dropouts, their trainers, and their family members. This research contributes to the general topic of analysing the antecedents of dropouts from educational programs. To pursue our objective, a qualitative study involving a total of 17 in-depth interviews with trainees who discontinued participation in the skill certification program, their family members, and trainers was conducted. The study related educational dropout to a number of factors at the micro, meso, macro, and exosystem levels. Though there was general agreement among the trainees, trainers, and their family members regarding issues related to attendance and scheduling and government policy, opinions varied regarding the influence of other factors. The study discovered that by addressing the lack of awareness and providing courses that are more customized to individual needs and abilities, skill certification programs can reduce dropout. This research contributes to open social innovation by integrating diverse perspectives to develop actionable solutions for skill certification programs and promotes community-centered, accessible educational frameworks for sustainable social impact.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"10 4","pages":"Article 100430"},"PeriodicalIF":0.0,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper investigates the effect of digital financial inclusion, creative innovations, and green finance on the stability of the national banking system in twenty-nine low-financially developed economies spanning the period 2011–2021. We demonstrate that digital financial inclusion promotion reduces banking system stability in low-financially developed economies. Additionally, creative innovations mitigate the adverse impact of digital financial inclusion on banking stability in low-financially developed economies. These findings are consistent using diverse econometric techniques. In highly developed economies, digital financial inclusion enhances national banking stability. Furthermore, green finance amplifies the positive relationship between digital financial inclusion and banking stability in high-financially developed economies. Our work sheds light on the crucial roles of digital financial inclusion, creative innovations, and green finance in the stability of national banking systems in low-financially developed economies and provides interesting comparison findings. Furthermore, this study offers recommendations for related governments and policymakers in low-financially developed economies to prioritize creative innovation to promote digital financial inclusion and stabilize the national banking system. For high-financially developed economies, encouraging green finance implementation is crucial and contributes to the banking system's stability.
{"title":"Stabilizing the national banking system through digital financial inclusion, creative innovations, and green finance in low-financially developed economies","authors":"Giang Thi Huong Vuong , Walid Barky , Manh Huu Nguyen","doi":"10.1016/j.joitmc.2024.100434","DOIUrl":"10.1016/j.joitmc.2024.100434","url":null,"abstract":"<div><div>This paper investigates the effect of digital financial inclusion, creative innovations, and green finance on the stability of the national banking system in twenty-nine low-financially developed economies spanning the period 2011–2021. We demonstrate that digital financial inclusion promotion reduces banking system stability in low-financially developed economies. Additionally, creative innovations mitigate the adverse impact of digital financial inclusion on banking stability in low-financially developed economies. These findings are consistent using diverse econometric techniques. In highly developed economies, digital financial inclusion enhances national banking stability. Furthermore, green finance amplifies the positive relationship between digital financial inclusion and banking stability in high-financially developed economies. Our work sheds light on the crucial roles of digital financial inclusion, creative innovations, and green finance in the stability of national banking systems in low-financially developed economies and provides interesting comparison findings. Furthermore, this study offers recommendations for related governments and policymakers in low-financially developed economies to prioritize creative innovation to promote digital financial inclusion and stabilize the national banking system. For high-financially developed economies, encouraging green finance implementation is crucial and contributes to the banking system's stability.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100434"},"PeriodicalIF":0.0,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-20DOI: 10.1016/j.joitmc.2024.100436
Hien Thi Ngoc Huynh , Ngan Thi Thanh Nguyen , Nhi Ngoc Y Vo
The study investigates the impact of knowledge management, green organizational culture, green transformational leadership on green innovation and sustainable performance of organization in Vietnam, which is under-researched. Data were collected from managerial positions using purposive sampling techniques, encompassing a total of 200 organizations, and analyzed through Partial Least Square-Structural Equation Modeling (PLS-SEM). The results confirm that knowledge management, green transformational leadership and green organizational culture are significant drivers of green innovation. Additionally, both green transformational leadership and green innovation positively influence sustainable performance. The study extends the Resource Based View theory by identifying factors that enhance green innovation and sustainable performance in organization. This study offers valuable insights and implications for policymakers, leaders and academics on integrating knowledge management, green organizational culture, green transformational leadership, and green innovation to achieve sustainable performance in developing countries like Vietnam.
{"title":"The influence of knowledge management, green transformational leadership, green organizational culture on green innovation and sustainable performance: The case of Vietnam","authors":"Hien Thi Ngoc Huynh , Ngan Thi Thanh Nguyen , Nhi Ngoc Y Vo","doi":"10.1016/j.joitmc.2024.100436","DOIUrl":"10.1016/j.joitmc.2024.100436","url":null,"abstract":"<div><div>The study investigates the impact of knowledge management, green organizational culture, green transformational leadership on green innovation and sustainable performance of organization in Vietnam, which is under-researched. Data were collected from managerial positions using purposive sampling techniques, encompassing a total of 200 organizations, and analyzed through Partial Least Square-Structural Equation Modeling (PLS-SEM). The results confirm that knowledge management, green transformational leadership and green organizational culture are significant drivers of green innovation. Additionally, both green transformational leadership and green innovation positively influence sustainable performance. The study extends the Resource Based View theory by identifying factors that enhance green innovation and sustainable performance in organization. This study offers valuable insights and implications for policymakers, leaders and academics on integrating knowledge management, green organizational culture, green transformational leadership, and green innovation to achieve sustainable performance in developing countries like Vietnam.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"10 4","pages":"Article 100436"},"PeriodicalIF":0.0,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-18DOI: 10.1016/j.joitmc.2024.100437
Syafrudin , Mochamad Arief Budihardjo , Indah Fajarini Sri Wahyuningrum , Amin Chegenizadeh , Annisa Sila Puspita , Syahrul Al Qadar
Batang Regency encountered persistent waste management challenges, requiring effective mitigation strategies. This study evaluated residential waste management utilizing life cycle assessment (LCA) and material flow analysis (MFA) to propose sustainable plans. Three scenarios were compared: the current conditions (Scenario 1) had the highest environmental impact. In contrast, Scenarios 2 and 3, which included sorting and recycling processes, demonstrated improved energy and product recovery, making them more sustainable. The results indicated that Scenario 1 had a global warming potential (GWP) of up to 1.65E+04 CO2 eq/t MSW, Scenario 2 had up to 2.88E+03 CO2 eq/t MSW, and Scenario 3 had up to 3.08E+03 03 CO2 eq/t MSW. Scenario 2 exhibited a lower GWP than Scenario 1, while Scenario 3, although higher in GWP, was recommended for excluding landfills. These findings highlighted the potential for waste sorting improvements and adjustments to classified waste treatment with environmental regulations, supporting sustainability in Batang Regency's waste management.
巴塘县（Batang Regency）面临着持续的废物管理挑战，需要有效的缓解策略。本研究利用生命周期评估（LCA）和物质流分析（MFA）对住宅废物管理进行了评估，以提出可持续发展计划。对三种方案进行了比较：当前状况（方案 1）对环境的影响最大。相比之下，方案 2 和方案 3（包括分类和回收流程）在能源和产品回收方面有所改善，更具可持续性。结果表明，方案 1 的全球升温潜能值（GWP）高达 1.65E+04 CO2 当量/吨 MSW，方案 2 高达 2.88E+03 CO2 当量/吨 MSW，方案 3 高达 3.08E+03 03 CO2 当量/吨 MSW。方案 2 的全球升温潜能值低于方案 1，而方案 3 虽然全球升温潜能值较高，但建议将其排除在垃圾填埋场之外。这些发现凸显了改进废物分类和调整废物分类处理以符合环境法规的潜力，从而支持巴塘县废物管理的可持续性。
{"title":"Enhancing waste management in batang regency: Integrating circular economy principles with life cycle assessment and material flow analysis","authors":"Syafrudin , Mochamad Arief Budihardjo , Indah Fajarini Sri Wahyuningrum , Amin Chegenizadeh , Annisa Sila Puspita , Syahrul Al Qadar","doi":"10.1016/j.joitmc.2024.100437","DOIUrl":"10.1016/j.joitmc.2024.100437","url":null,"abstract":"<div><div>Batang Regency encountered persistent waste management challenges, requiring effective mitigation strategies. This study evaluated residential waste management utilizing life cycle assessment (LCA) and material flow analysis (MFA) to propose sustainable plans. Three scenarios were compared: the current conditions (Scenario 1) had the highest environmental impact. In contrast, Scenarios 2 and 3, which included sorting and recycling processes, demonstrated improved energy and product recovery, making them more sustainable. The results indicated that Scenario 1 had a global warming potential (GWP) of up to 1.65E+04 CO<sub>2</sub> eq/t MSW, Scenario 2 had up to 2.88E+03 CO<sub>2</sub> eq/t MSW, and Scenario 3 had up to 3.08E+03 03 CO<sub>2</sub> eq/t MSW. Scenario 2 exhibited a lower GWP than Scenario 1, while Scenario 3, although higher in GWP, was recommended for excluding landfills. These findings highlighted the potential for waste sorting improvements and adjustments to classified waste treatment with environmental regulations, supporting sustainability in Batang Regency's waste management.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"10 4","pages":"Article 100437"},"PeriodicalIF":0.0,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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