Digital transformation is reshaping how small and medium enterprises operate, yet limited empirical evidence explains how digital human resource practices and flexible work arrangements jointly influence employee productivity in creative industry contexts. This study examines the effects of Digital HRM (DHRM) and Flexible Work (FW) on Employee Productivity (EP), with Work Digital Agility (WDA) conceptualized as an adaptive capability that supports employees in managing technology-driven work environments. A quantitative survey was conducted involving 520 workers from Craft Fashion MSMEs across five regencies in Bali, selected through purposive sampling to ensure adequate exposure to digital HR systems and flexible work arrangements. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess both direct and indirect relationships. The results indicate that DHRM has a strong and significant direct effect on EP and an even stronger effect on WDA, demonstrating that digital HR practices enhance productivity primarily by strengthening employees’ adaptive digital capabilities. Flexible Work also exhibits a positive direct effect on EP; however, its influence on WDA is not statistically significant. Furthermore, WDA significantly predicts EP and mediates the relationship between DHRM and EP, but does not mediate the effect of Flexible Work on productivity. These findings suggest that productivity improvements in digitally transforming MSMEs depend not only on technological investments and flexible work policies, but critically on the development of work digital agility as a core employee capability fostered through structured digital HR practices.
This study investigates how transformational leadership and organizational culture influence employee performance through the mediating roles of employee engagement and competency in the public sector. While leadership and culture are frequently identified as key antecedents of performance, empirical evidence explaining their indirect effects through motivational and capability-based mechanisms remains limited, particularly in developing country contexts. This study employs a quantitative research design using data collected from 314 social facilitators in Indonesia and analyzes the proposed model using Partial Least Squares Structural Equation Modeling (SEM-PLS). The findings show that both transformational leadership and organizational culture have significant direct effects on employee performance. Furthermore, competency significantly mediates the relationships between leadership, organizational culture, and performance, indicating that performance improvement is primarily driven through capability development. In contrast, employee engagement, although positively influenced by leadership and competency, does not significantly mediate the effects of leadership and culture on performance. The structural model explains 95.5% of the variance in employee performance (R² = 0.955), demonstrating strong explanatory power. Theoretically, this study integrates Social Exchange Theory and the Resource-Based View by highlighting the dominant role of competency as a transmission mechanism. Practically, the results emphasize that public sector organizations should strengthen transformational leadership and organizational culture with a strategic focus on competency development to achieve sustainable performance outcomes.
The present study creates and tests a model that explores how the quality of accounting information systems, internal control systems, and non-financial information affect success at the organizational level (i.e., success in decision-making and non-financial performance). Data from managers of 252 organizations in West Java, Indonesia, were analyzed using covariance-based structural equation modeling through linear structural relations software. It has been found that the quality of accounting information systems, internal control systems, and non-financial information has a positive relationship with decision-making performance and non-financial performance. This result implies that better internal information systems and controls, as well as non-financial information, are also useful for improving decision-making and performance in the organization. This study adds to research on the influence of accounting information system quality, internal control, and non-financial information on organizational performance and success. The pattern of results is consistent with a pathway in which internal control system quality and accounting information system quality enhance non-financial information quality, which is associated with improved decision-making success and non-financial performance. The implications of this study are useful in guiding the accounting and information management practices towards enhancing the quality of accounting information systems, internal control systems, and non-financial information. It is expected that, when advanced, the tool would provide at least a more expansive and elaborate understanding of these complex relationships, thereby enriching our knowledge and theoretical base in accounting.
Broiler chicken farming contributes significantly to greenhouse gas emissions, presenting challenges to Indonesia’s carbon reduction goals. This study explores the motivations influencing broiler farmers in South Sulawesi to adopt low-carbon farming practices by integrating Self-Determination Theory (SDT) and the Theory of Planned Behavior (TPB). Key variables include external motivators (mandatory regulations, non-mandatory incentives, market opportunities, organizational participation, and knowledge capacity), farmers’ beliefs (attitudes, subjective norms, and perceived behavioral control), behavioral intentions, and actual practices. A structured survey involving 860 farmers from 14 villages in two cities was conducted using a five-point Likert scale. Structural Equation Modeling (SEM) was applied to test the hypothesized relationships. Results show that knowledge capacity has the strongest influence on motivation, while market opportunities significantly affect attitudes and perceived behavioral control. Mandatory regulations and incentives shape attitudes and social norms but fail to enhance perceived behavioral control. Organizational participation has no significant effect. This study offers a comprehensive framework explaining how external incentives are internalized in farmers’ decision-making. The findings provide actionable insights for policymakers and industry stakeholders, suggesting the need for targeted training, improved market access, and strengthened knowledge-sharing networks to promote sustainable broiler farming and support Indonesia’s climate commitments.
This study investigates the influence of digital storytelling and entrepreneurial risk-taking on the business performance of Generation Z entrepreneurs in Indonesia, with online personal branding as a mediating variable. The research addresses the rising trend of youth entrepreneurship amid digital transformation, emphasizing the strategic role of digital identity and marketing. A quantitative approach was employed, utilizing a structured questionnaire distributed to senior high school students who currently run businesses. Structural Equation Modeling (SEM) with SmartPLS was used to analyze data from 144 valid respondents across Indonesia. The findings reveal that entrepreneurial risk-taking significantly influences business performance both directly and indirectly through online personal branding. In contrast, digital storytelling does not directly impact business performance but exerts a significant effect when mediated by online personal branding. The study highlights the essential role of digital personal branding in amplifying the effects of narrative strategies and risk-oriented behavior. These findings offer new insights for educators, policymakers, and practitioners aiming to support Generation Z entrepreneurs. The research contributes to the entrepreneurship and marketing literature by integrating behavioral and digital branding constructs to explain youth business success in the digital era.
This study investigates the breadth and depth of fraud prevention disclosures among 76 Indonesian higher education institutions and explores the transformative role of Artificial Intelligence (AI) in enhancing governance and early fraud detection systems. Utilizing a qualitative content analysis approach, the research assesses institutional transparency across eight critical dimensions: integrity and governance, policy, internal audit, bursary, core values, fraud prevention strategies, fraud response procedures, and awareness raising, based on publicly available data from 2025. The analysis reveals an average disclosure rate of 48.19 percent, with the lowest levels found in fraud response procedures (22.3 percent) and awareness raising (26.2 percent), while Bandung Institute of Technology (ITB) and Jambi University (UNJA) recorded the highest disclosure levels at 85 percent. These findings expose a pronounced gap between substantial governance and implementation practices, indicating that institutions often prioritize formal compliance over substantive ethical conduct. The study highlights the urgent need for standardized disclosure frameworks at the national level, the institutionalization of AI-based analytical systems, and the reinforcement of ethical governance structures to ensure transparency and accountability. The integration of AI technologies in audit automation, anomaly detection, and ethical capacity building presents a forward-looking framework for proactive fraud prevention and governance modernization. This study extends existing fraud prevention disclosure research by integrating AI-based governance perspectives within the higher education context, which has been largely unexplored in Indonesia, and offers a strategic roadmap for policymakers and academic leaders seeking to restore public trust through integrity, regulatory coherence, and technological innovation.
This study investigates differences in innovative work behavior (IWB) between local Taiwanese employees and migrant workers in metropolitan Taiwan and examines how leader–member exchange (LMX) and job autonomy relate to IWB and task performance across groups. Survey data were collected from 449 employees across 50 large restaurant establishments in Taipei and Taichung. Our respondent background was identified as 35% local taiwanese employee and 65% migrant workers including Indonesian, Vietnamies, Pakistani, Bangladeshi, India, and Japanese. A structural equation model tested the measurement and structural relations and multi-group analyses compared paths across local and migrant workers. This study develops four-factor measurement model demonstrated acceptable fit. Structurally, LMX positively predicted IWB and task performance. Job autonomy was positively associated with IWB and task performance. IWB did not show a significant direct effect on task performance. Multi-group tests indicated that the job autonomy to IWB path was stronger and significant for migrant workers but not for local employees. Moreover, the influence of LMX to IWB and LMX to task performance did not differ significantly across groups. The study offers a fine-grained comparison of IWB drivers for local versus migrant employees in a metropolitan service context, revealing autonomy as a differential lever for migrants while underscoring the universal importance of LMX.
This study examines whether generative AI (GenAI) can operate as a personal resource that enhances employee performance by strengthening user experience, trust, and work engagement. It tests if trust mediates the link between GenAI user experience and engagement and, in turn, performance. An explanatory sequential mixed‐methods design is used. Study 1 surveys 251 Indonesian professionals who use GenAI at work and estimates a covariance-based structural equation model. Constructs draw on TRI (optimism, innovativeness), TAM (usefulness, ease of use), trust, work engagement and employee performance. Study 2 gathers expert insights from 69 full professors in management to interpret and enrich the quantitative results. Optimism and innovativeness positively influence GenAI user experience, with optimism showing the stronger effect. User experience significantly increases trust, and trust significantly predicts work engagement. The direct path from user experience to engagement is not significant; instead, trust fully mediates this relationship. Work engagement, in turn, significantly improves employee performance. Experts corroborate the centrality of trust, emphasizing reliability, transparency, and fit-for-purpose use as prerequisites for sustained productivity gains. Cross-sectional data limit causal inference; future longitudinal and cross-cultural studies are encouraged. Extending the model to incorporate JD–R “loss cycle” variables (e.g., job demands, technostress, exhaustion) would deepen understanding of boundary conditions. Organizations should invest in capability building, clear guardrails, and verification workflows; vendors should improve transparency, provenance cues and controllability to earn user trust. Leaders play a pivotal role in positioning GenAI as an assistive resource and in instituting quality checks that convert usage into engagement and performance. The paper integrates TRI and TAM within a JD–R lens to show that trust is the decisive mechanism translating GenAI experience into engagement and performance. It reframes GenAI as a personal resource whose value materializes only when trust is deliberately cultivated.
Despite extensive research on social media marketing, evidence linking social media use to marketing performance outcomes remains inconsistent and inconclusive, particularly in emerging markets and among small and medium-sized enterprises (SMEs). This study aims to examine the effect of social media use on marketing performance by simultaneously examining the mediating roles of social commerce branding and social commerce targeting. A survey-based research design was employed, targeting SMEs in Banyumas Regency, Indonesia, that actively utilize social commerce. Using purposive sampling, 172 valid responses were collected. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS to assess validity, reliability, and structural relationships. The results indicate that social media use does not directly enhance marketing performance; instead, its influence is primarily transmitted through social commerce branding, demonstrating a strong partial mediation effect. Social commerce targeting, although positively associated with marketing performance, failed to mediate the relationship between social media use and performance, highlighting distinct mediation pathways. These findings advance the social commerce literature by integrating branding and targeting as competing mediators and providing empirical evidence from an emerging economic context. Managerially, these results suggest that SMEs should prioritize branding-related strategies such as user-generated content and digital community building to improve marketing performance while gradually strengthening targeting capabilities.
The coal mining industry, responsible for 80% of global energy, faces significant challenges. This study integrates environmental and economic perspectives to assess how environmental footprint analysis using Stochastic Frontier Analysis (SFA) can create eco-efficiency and improving firm value in coal firms. We also investigate how internationalization and state ownership influence the relationship between eco-efficiency and firm value. Analysing 1010 data set from 220 companies across major coal-exporting countries (Indonesia, Australia, Russia, the USA, and South Africa) using SFA and Fixed Effect Ordinary Least Square (FE-OLS), this study finds that considering environmental footprint models contributes to eco-efficiency. Furthermore, eco-efficiency positively influences firm value, with this relationship being strengthened by the degree of internationalization and state ownership. Our findings suggest that focusing on eco-efficiency can help coal mining firms align with sustainability goals while enhancing firm value. This research offers practical insights for policymakers and industry leaders to address environmental and business challenges in the coal sector.
Governments around the world are moving towards embracing industrial revolution 4.0. With the advancement of technology and the increased connectivity of people in the hypernet of industry 4.0, it is important to understand how guerrilla marketing can adapt to these changes. This study aims to examine the differences between guerrilla commercials by industry 4.0 companies and those by traditional companies, using a research framework based on viral marketing literature. The study examined 56 viral commercials shared on social media in Indonesia from 2016-2020, and identified four key differences. Firstly, it was found that ICT companies commonly employ themes such as humanism, social justice, parody, sadness, animation, and funny videos in their commercials. Secondly, these companies aim to evoke curiosity, humor, neutrality, and sympathy in their viewers. Thirdly, they tend to avoid negative emotions such as horror and anger in their advertisements. Finally, ICT companies tend to advertise more on online platforms. The analysis of the data provides valuable insights for companies intending to use guerrilla marketing as a strategy to enter industry 4.0.
This study investigates the influence of Inclusive Economic Education on the empowerment of local tourism MSMEs in Labuan Bajo, with Innovation as a mediating variable and Human Capital as a moderator. Using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach, data were collected from MSME owners engaged in the local tourism industry. The results indicate that Inclusive Economic Education significantly enhances both Innovation and the empowerment of MSMEs. Furthermore, Innovation directly contributes to MSME empowerment and serves as a robust mediator between education and empowerment. The moderating effect of Human Capital is also significant, strengthening the relationship between Inclusive Economic Education and MSME empowerment. These findings align with the Innovation Diffusion Theory (IDT), emphasizing how knowledge dissemination and human capacity foster innovation adoption within small enterprises. Statistically, the model demonstrates strong explanatory power, with R² values of 0.808 and 0.708 for MSME empowerment and Innovation, respectively. Practically, the results highlight the need for comprehensive educational interventions supported by human resource development to achieve sustainable local entrepreneurship. The study offers theoretical, practical, and policy insights while also identifying avenues for future research involving broader geographic scopes and longitudinal analysis.
This research investigates the relationship between the implementation of Enterprise Resource Planning (ERP) systems, process improvements, and technology adoption as independent variables; operational performance as the dependent variable; and dynamic digital literacy as the moderating variable. Employing a quantitative methodology, as well as the PLS-SEM (Partial Least Squares Structural Equation Modeling) technique, the author analyzes data collected from 105 operational respondents from Micro, Small, and Medium Enterprises (MSMEs) based in Yogyakarta. The data indicate that ERP, process improvement, and the adoption of technology have a positive influence on operational performance. Moreover, dynamic digital literacy is a mediator that strengthens the relationship between these variables and operational performance. Increased digital literacy enables employees to more easily adopt the technologies and processes necessary for enhanced business efficiency. There is a growing recognition of the need to improve the digital literacy skills of employees in the context of supporting the organization’s digital transformation. Those organizations that seek to advance their employees' digital literacy skills will, in turn, strengthen their ability to utilize technology for enhanced operational performance and greater market competitiveness.
This study develops and empirically tests the Extended Brand Value Competitiveness Chain (BVCC) model in the context of Indonesian SMEs, particularly batik enterprises in Pekalongan. The model integrates the concepts of brand differentiation, brand value, and brand competitiveness, while introducing SMEs Digital Brand Learning as a moderating variable grounded in learning theory, organizational knowledge creation theory, and Nonaka’s SECI model. Using a quantitative explanatory design with survey data from 273 SMEs, the study applies Structural Equation Modeling (SEM) to examine direct and moderating effects. The findings confirm that brand differentiation significantly enhances both brand value and brand competitiveness, while brand value positively influences competitiveness. Furthermore, SMEs Digital Brand Learning strengthens the impact of brand differentiation and brand value on competitiveness, underscoring the importance of continuous knowledge acquisition and application in the digital era. This research extends the applicability of the BVCC model to SMEs, highlights the role of digital learning in overcoming knowledge gaps, and provides practical insights for SME managers to build sustainable competitiveness through branding in Industry 4.0.
The adoption of Generative Artificial Intelligence (GAI) for converting extensive textual data into strategic knowledge has emerged as a significant trend within business research. While prior studies acknowledge the operational applications of GenAI, its role in offering strategic decision-making support remains underexplored. This study presents a novel social listening framework powered by GenAI that combines advanced text analysis methods, specifically: (a) Long Short-Term Memory (LSTM), a variant of Recurrent Neural Networks (RNN) capable of identifying long-range dependencies through its memory mechanisms, and (b) Google’s Bidirectional Encoder Representations from Transformers (BERT). The proposed model leverages bi-directional contextual learning to extract deeper insights from large-scale textual datasets, enabling the transformation of user-generated content into actionable knowledge. These insights are intended to guide managers in enhancing customer experiences and supporting decision-making processes within phygital retail environments.
聚焦注册制下IPO审核问询回复函中风险因素披露的市场影响,从风险因素披露量和披露详细程度刻画审核问询中风险因素披露特征,并从多视角讨论风险因素披露的影响.研究发现:第一,IPO审核问询回复函中风险因素披露越多、越详细,企业的IPO抑价水平越低,其主要作用机制在于风险因素信息披露降低了二级市场投资者情绪及一级市场投资者信念异质性;第二,企业风险因素披露越多、越详细,企业股票呈现出越低风险的特征;第三,审核问询中风险因素披露与IPO抑价之间的关系具有异质性,当企业IPO前负面新闻较少、受到的投资者关注更多并且有分析师进行股价预测时,风险因素披露对IPO抑价的降低作用更为显著.总体而言,IPO审核问询回复函中风险因素披露具有非常重要的信息披露效果,这显著影响了资本市场资金配置效率和信息使用者的行为.
长期护理险试点是中国积极应对老龄化、健全社会保障体系的重要实践.引入长期护理险的理论模型对家庭消费行为进行分析,采用中国养老与健康追踪调查(CHARLS)2011-2018年4期面板数据,以长期护理险试点作为准自然实验,运用双重差分法评估长期护理险试点对家庭消费的政策效果.研究发现:长期护理险试点促进了家庭消费,改善了家庭消费结构;作用机制检验表明,长期护理险通过影响家庭劳动参与率、非医疗消费和预防性储蓄三个渠道影响家庭总消费;异质性检验结果显示,长期护理险试点对中低收入家庭、独生子女家庭以及有重度失能老人家庭的消费提振作用更为明显.因此,应有序扩大长期护理险试点范围和支付范围,加大社区护理和居家护理服务力度等,为积极应对老龄化以及推动内循环为主、双循环互促的发展战略提供政策参考.
财政规则是各国应对财政危机、增强财政可持续性的重要保障,然而现有研究较少探讨地方层面的财政规则执行.基于预算软约束理论,以2014-2020年中国2023个区县为研究对象,结合财政部在政府和社会资本合作(PPP)领域制定的"10%红线"规则设计断点回归模型,检验PPP规则约束下的地方政府行为.研究发现:第一,由于缺乏法定性与透明度,PPP规则存在"软约束"现象,这一现象与债务规则的"硬约束"形成鲜明对比;第二,PPP规则的执行效果具有异质性,即对于可自由支配度较高的经济类项目更具规制效果,而对支出偏刚性的民生类项目约束力不足;第三,对于存在合规风险的项目,企业倾向于通过组建联合体的形式分散风险.研究结果表明了加强财政规则法定性与提高财政透明度的必要性,建议加快相关财政规则的立法工作,提高财政预决算的信息披露程度,从而增强财政规则执行效果,防范与化解重大风险.
陈诗一长期从事中国经济转型与金融发展、能源环境与气候变化经济以及计量经济与数字经济科学研究,在经济学界有着广泛的影响力.先后主持国家社会科学基金重大项目等课题 20 余项,同时主持绿色金融、可持续发展、长三角发展智库研究,发表百余篇学术论文,出版著作、教材和译著15部.陈诗一是中文期刊的高被引作者,多篇英文论文获评Elsevier高被引和高热点论文,本人也连续 3 年(2020—2022 年)入选Elsevier全球数据库 "中国高被引学者"榜单.学术观点和访谈多次登载于《人民日报》《光明日报》《中国社会科学报》等权威媒体.
碳达峰和碳中和是一场广泛而深刻的经济社会系统性变革,仅靠碳交易政策很难保证这一目标的实现,开征碳税是大势所趋.为此,构建环境—动态随机一般均衡(E-DSGE)模型,模拟分析"双碳"目标下碳税政策和宏观审慎政策对中国宏观经济的影响效应和作用机制,并对不同政策冲击下的异质性福利损失进行估计.研究发现:第一,碳税政策有助于中国实现低碳转型,但会伴随一定的过渡风险,短期内出现政策性衰退.相较于永久性碳税政策,渐进式碳税政策更加有效,有助于缓解碳税政策冲击造成的负面影响.第二,在金融加速器效应下,金融摩擦会明显放大碳税政策对宏观经济的负面影响,通过引入逆周期资本充足率或动态存款准备金率宏观审慎政策规制,可以有效解决金融摩擦问题,但仅靠宏观审慎政策在解决气候外部性方面表现不佳,无法保证"双碳"目标的实现.第三,通过将碳税政策和宏观审慎政策同时纳入政策工具箱,尤其是采用"渐进式碳税政策+逆周期资本充足率宏观审慎政策"这种政策搭配设计,不但减排效果显著,还可以明显降低过渡风险,稳定经济增长,提高居民福利.因此,中国应力争在"十四五"期间推出从碳排放源头征收的碳排放税,并考虑纳入逆周期资本充足率或动态存款准备金率宏观审慎政策规制,助力"双碳"目标顺利实现.
