Journal of Open Innovation: Technology, Market, and Complexity最新文献_第7页

The impact of sharing economy platforms, management accounting systems, and demographic factors on financial performance: Exploring the role of formal and informal education in MSMEs

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2024-12-05 DOI: 10.1016/j.joitmc.2024.100447

Diana Zuhroh , Johnny Jermias , Sri Langgeng Ratnasari , Sriyono , Elok Nurjanah , Mochammad Fahlevi

This study analyzes the effectiveness of sharing economy platforms and management accounting systems (MAS) on the financial performance of Micro, Small, and Medium Enterprises (MSMEs) in Malang City, Indonesia, by considering the moderating effect of demographic factors such as gender, age, and business tenure. The investigation also examines the impact of formal and informal education on financial performance, positing that practical training yields greater financial improvement than theoretical schooling. This research examines 234 MSMEs using structural equation modeling (SEM) with SmartPLS and employs path analysis to investigate the impact of sharing economy platforms on MAS, as well as its consequences for financial performance. The results indicate that sharing economy platforms and MAS have a significant effect on financial performance. Informal education has a significant effect on sharing economy platforms and MAS, whereas formal education has a negative effect on financial performance. Demographic factors were observed to have a significant moderating effect on the path from MAS to financial performance. This study introduces the Adaptive Financial Capability Model (AFCM), a novel framework that uniquely integrates adaptive learning derived from informal education with demographic factors. By bridging practical training with contextual variables, such as gender, age, and business tenure, the AFCM provides an original perspective on enhancing financial management and technology adoption within MSMEs.

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引用次数: 0

Does technological innovation matter to smart classroom adoption? Implications of technology readiness and ease of use

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2024-12-04 DOI: 10.1016/j.joitmc.2024.100448

Long Kim , Rungrawee Jitpakdee , Wasin Praditsilp , Gulmira Issayeva

Smart classrooms represent innovative learning facilities that seamlessly blend physical reality with digital learning environments, facilitated by advanced technologies. As smart classrooms have significant impacts on individual learning and development, it is essential to comprehend technological innovation, technology readiness, perceived usefulness, trust, and perceived value on students’ adoption intention. To address this gap, 600 Thai university students were invited to join this research via questionnaire surveys. The collected data were analyzed using a path analysis technique. Findings from the analysis revealed two factors, namely perceived usefulness and perceived value positively predicted the student trust. Moreover, it was observed that technology readiness positively predicted both ease of use and perceived usefulness while ease of use positively predicted perceived usefulness and perceived value. Additionally, perceived value, student trust, and perceived usefulness determined students’ intention to adopt smart classrooms. Finally, the involvement of technological innovation enhanced the associations: (1) between perceived usefulness and adoption intention and (2) between trust and adoption intention. These results offer supportive evidence for the newly proposed theoretical model that highlights the associations between perceived value, trust, perceived usefulness, and adoption intention. Overall, this research contributes to the understanding of the associations between technological and psychological factors, paving the way for students’ decision to adopt smart classrooms in higher education.

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引用次数: 0

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 基于社交网络分析（Social Network Analysis， SNA）和深度学习相结合的电子商务平台推荐系统，帮助有流失风险的客户

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2024-12-01 DOI: 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.

最近，电子商务平台引起了媒体的极大关注。随着使用这些平台的客户数量不断增长，他们面临着诸如有限的支持等挑战，这使得客户越来越难以找到他们的问题的答案，导致高流失率。本研究旨在通过结合SNA和深度学习技术来解决在线产品讨论论坛中未回答的客户问题。主要目标是通过点对点交互来增强客户支持，从而降低流失率。首先，我们使用SNA分析客户交互网络和线程结构，以识别孤立的查询。在此之后，我们应用基于深度学习的模型来计算这些查询之间的相似性得分，这是我们对产品讨论问题的语义相似性方法的基础。我们在摩洛哥电子商务平台上进行的实验结果证明了我们的推荐方法在将客户与相关答案以及可以帮助他们的其他客户联系起来方面的有效性。所提出的深度学习模型提供了0.8529的精度和0.1168的均方误差。

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引用次数: 0

Internal turnover intention in Indonesian government organization 印尼政府机构内部离职意向

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2024-12-01 DOI: 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.

人员流动可以发生在组织层面，也可以发生在单位层面，这两者都可能产生负面影响。内部人员流动的存在表明员工的不满。本研究旨在分析内部离职倾向（ITI）的影响因素，以及工作满意度的中介作用。所研究的人口是担任工作人员职位/相当于三级/相当的公务员。抽样方法为简单随机抽样，共抽取221份样本。结果表明，组织承诺、薪酬、工作条件和主管支持对工作满意度有显著影响。认可、晋升和工作投入对工作满意度没有显著影响。工作满意度的中介作用仅在薪酬、工作条件、主管支持和组织承诺对ITI的影响中表现出来，而在认可、晋升和工作投入对ITI的影响中没有得到证实。此外，本研究还发现，工作满意度对ITI具有显著的负向影响。

引用次数: 0

Financial innovation can hamper the sustainable economic growth: A tale of two emerging economies

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2024-12-01 DOI: 10.1016/j.joitmc.2024.100446

Arslan Qayyum , Aniqa Arslan , Arsalan Haneef Malik , Sajjad Nawaz Khan , Awais Ur Rehman , Muhammad Asim , Sadique Ahmad , Mohamed A. ElAffendi

This study compares the sustainability of financial innovation, development, and economic growth in India and China, considering macro-economic factors like globalization, inflation, and monetary policies. It addresses the impact of financial development on sustainable economic growth by analyzing these two major emerging economies. The ARDL co-integration approach is used to assess long-run and short-run relationships among variables, focusing on sustainability. The results show a long-term co-integration among financial innovation, development, and economic growth, revealing challenges to sustainable development. Both countries show a negative long-term relationship between financial innovation, development, and economic growth, with India's impact larger in magnitude than China's. In contrast, short-term results are positive and significant for both nations. The ECT term suggests India requires more short-run adjustments to reach equilibrium. Overall, financial initiatives in both countries, amid globalization and monetary challenges, do not support sustainable long-term GDP growth but have short-term positive effects. China performs better due to smaller negative coefficients and fewer adjustments needed. The findings align with economic theories such as the Solow growth model and the theory of endogenous growth, emphasizing efficient allocation of financial resources for growth. This research adds valuable insights to the literature on sustainable economic outcomes in India and China, providing policymakers with guidance for future strategies to achieve sustainable growth.

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引用次数: 0

Artificial intelligence in open innovation project management: A systematic literature review on technologies, applications, and integration requirements 开放式创新项目管理中的人工智能：技术、应用和集成需求的系统文献综述

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2024-11-30 DOI: 10.1016/j.joitmc.2024.100445

Moonita Limiany Prasetyo , Randall Aginta Peranginangin , Nada Martinovic , Mohammad Ichsan , Hendro Wicaksono

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.

本研究旨在提供见解，以支持组织建立有效的战略，采用人工智能（AI）和改进项目管理过程。它专注于开放式创新项目。它采用了全面和系统的文献综述（SLR）。从IEEE和Scopus数据库的1265篇论文中，共选择了365篇论文。本研究发展了一个以五个研究问题为指导的文献综合框架。这些问题涉及人工智能技术、项目管理任务、采用人工智能的行业以及成功采用人工智能的需求。分析表明，机器学习在项目管理中被广泛应用，特别是在预测分析、优化资源和管理风险方面。人工智能通过整合多种知识来源、加强协作和为决策提供战略见解，改善开放式创新项目管理。该研究还发现，人工智能的采用不仅取决于技术基础设施、与现有系统的集成和数据准备情况，还取决于领导力支持、战略一致性、财务资源、技能发展和组织文化。研究结果还强调了将人工智能计划与开放式创新要求相结合的重要性，在开放式创新要求中，协作、敏捷性和外部知识集成至关重要。建筑行业处于采用人工智能的最前沿。本研究通过确定将人工智能有效地纳入开放式创新项目管理方法的技术和非技术先决条件，填补了先前研究中的重大空白。

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引用次数: 0

Journey into virtual reality: Identifying behavioral intentions to use virtual reality in tourism through spectral clustering

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2024-11-28 DOI: 10.1016/j.joitmc.2024.100442

Attasit Wiangkham , Komsit Kieanwatana , Rattawut Vongvit

Virtual Reality (VR) holds immense potential to revolutionize the tourism industry by transforming how destinations are marketed and experienced. Research consistently emphasizes VR’s ability to enhance and enrich tourist experiences, offering new dimensions of engagement. However, despite its promise, concerns about diminished motivation to interact with VR-enabled attractions may hinder widespread adoption. This study, through the application of Exploratory Factor Analysis and spectral clustering of empirical survey data, aims to identify clusters of behavioral intentions for using VR in tourism based on an extended Technology Acceptance Model (TAM). These clusters, namely Cluster A ("Cautious Travelers"), Cluster B ("Disenchanted Travelers"), Cluster C ("Quality-Seeking Travelers"), and Cluster D ("Information-Driven Travelers"), highlight the critical role of comprehensive destination knowledge and the importance of information access in enhancing the VR tourism experience. By understanding the behaviors and preferences of these groups, businesses and developers can create tailored VR content and experiences that improve user satisfaction with a focus on ease of use and content quality.

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引用次数: 0

The interplay of road infrastructure and regional finance in driving economic growth: Insights from East Kalimantan

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2024-11-28 DOI: 10.1016/j.joitmc.2024.100444

Rohmini Indah Lestari , Budi Wardono , Mudjiastuti Handajani , Supari Supari , Herma Juniati , Mas Tri Djoko Sunarno , Erwin Prayogi

This study examines the effect of road infrastructure and regional finance on regional economic growth in the recently designated capital city of Indonesia. The empirical data employed in this study originates from ten regencies/cities in East Kalimantan and has been observed from 2013 to 2022. This investigation utilises a moderated mediation model. The analysis tool employs the structural equation partial least squares (PLS) approach, utilising the Warp 8.0 software. Regional finance acts as a full mediator between road infrastructure and regional economic growth. The moderating effect of road infrastructure on this relationship is −0.434, indicating that it significantly reduces the influence of regional finance on regional economic growth. Furthermore, the study identified a threshold between the impact of regional finance on economic growth, which is depicted in the S curve. This study contributes to the existing literature on endogenous economic growth.

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引用次数: 0

Failure mode effect analysis use and limitations in medical device risk management

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2024-11-27 DOI: 10.1016/j.joitmc.2024.100439

Niamh Nolan, Olivia McDermott

This study aims to investigate the application of risk analysis techniques in the medical device industry and the techniques most utilised to address compliance with ISO 14971:2019 with a view to assessing the challenges of risk management. Failure Mode Effect Analysis (FMEA) and its limitations as a tool are also investigated, as well as the risk management competencies that may contribute to effective risk management implementation. Qualitative interviews were conducted with risk management experts to gain insights into current risk management practices and challenges. The study found that FMEA is the most utilised risk analysis tool by the medical device industry but does not meet all risk analysis requirements per ISO14971:2019. FMEA focuses on device functionality and risk of failure and does not account for safety risks during normal device usage. It is the first focussed study on FMEA limitations in the medical device risk assessment process, and the study can be utilised to inform regulatory policy and industry best practices. Benchmarking the pros and cons of FMEA as a tool can strengthen Risk management thinking and deployment. This study is also novel in relation to the analysis of risk analysis requirements per ISO 14971, as well as looking at risk management competency gaps in Medtech in terms of risk analysis.

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引用次数: 0

Enhancing operation effectiveness by maximizing daily EBITDA as a turnaround strategy execution system to enhance operation performance and profitability 通过最大化每日EBITDA来提高运营效率，作为一个周转战略执行系统，以提高运营绩效和盈利能力

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2024-11-27 DOI: 10.1016/j.joitmc.2024.100431

Rudy Setyopurnomo , Sudarso K. Wiryono, Yuliani Dwi Lestari, Subiakto Sukarno

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.

由于执行的复杂性，许多公司在战略实施方面遇到了困难。一些战略执行系统依赖于许多指标，这使得管理者很难有效地监督。此外，在财务困难时期，公司需要一个具有明确定义的关键绩效指标（kpi）的简单的周转战略执行系统。这个系统应该赋予各级员工权力，在组织追求共同目标的过程中培养一种共同的一致性和团结感。研究人员的目标是提供一个简化的系统来实施周转战略，以确保公司的盈利能力。为了实现这一目标，他们建议使用每日利息、税项、折旧和摊销前收益（EBITDA）作为主要KPI，因为它完全在运营控制之下。此外，EBITDA可以整合到业务流程中，仅由运营领导者和员工负责，从而培养主人翁意识和责任感。一旦公司达到一定的盈利水平，它就可以纳入额外的kpi。研究人员在进行了全面的文献回顾后，基于演绎推理提出了假设。他们分析了来自访谈的定性数据和来自调查的定量数据。在一家渡轮公司实施他们的计划后，他们观察到收入增加了大约33% %，EBITDA激增了惊人的300 %，EBITDA利润率扩大了25 %以上。研究人员通过对渡轮、造船和飞机制造公司的多个案例研究验证了他们的假设。本研究通过将战略计划和EBITDA目标转化为日常业务流程的可操作计划，有助于开发直接的周转战略执行系统。这种方法有助于领导和员工加强公司文化和制度，以提高业绩和盈利能力。研究人员专注于在公司运营中有效地执行周转战略。

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引用次数: 0