Blockchain is an emerging technology that has been widely used in various sectors, including the financial sector.This study analyzes research trends on blockchain technology for regional government financial management in Indonesia using bibliometric techniques.Database searches identified 141 documents on blockchain in Indonesia and 34 documents specifically on financial blockchain from 2016-mid 2023.This research utilizes bibliometric methods complemented by a research question to uncover significant findings or trends in the literature related to the potential implementation of blockchain in regional government finance in Indonesia.Research on blockchain in the Indonesian financial sector has already been widely conducted, accounting for 24% of the research related to blockchain in Indonesia.This indicates that the financial sector has become one of the primaries focuses of blockchainrelated research in Indonesia.Bibliometric analysis of the literature suggests that blockchain has potential to enhance transparency, efficiency, and accountability in regional government finance through features like smart contracts, immutable records, and decentralized networks.A private blockchain structure can provide security and control.This study informs blockchain implementation plans for regional finance in Indonesia.
This study investigated how human resource (HR) practices influence entrepreneurial culture, moderated by innovation, in small and medium enterprises (SMEs) in Saudi Arabia.A survey was administered to 374 HR managers.The results revealed HR practices positively affects entrepreneurial culture, with performance management exerting the strongest effect.Innovation was also found to significantly moderate the HR practicesentrepreneurial culture relationship.The findings suggest SMEs should leverage HR initiatives like training, rewards, and knowledge sharing to stimulate an entrepreneurial environment, with innovation integrated into these efforts.Theoretically, the study expands understanding of fostering entrepreneurial culture through HR practices and the role of innovation in enabling this link.For practice, it provides guidance to HR managers on effectively designing policies and procedures to nurture entrepreneurial thinking and behaviors, a crucial capability for SME agility and growth.The use of a cross-sectional survey methodology means the dynamics between the variables could not be fully captured.Additionally, the sample was restricted to Saudi Arabian SMEs.Further research could employ longitudinal or qualitative approaches, examine other relevant individual and organizational factors, and extend the context.Overall, this study offers timely insights on strengthening entrepreneurial culture via supportive HR systems and innovation-focused management.
Indonesia is known as digital-first nation which is given based on the high usage of online platform, especially in the clothing category.Understanding customer behaviour and preference is mentioned as one of the key successes for marketers because it can lead to customer decision to consume the product and will have purchase intention as the result.Social media plays as a big role as a tool for marketers to influence purchasing decisions of consumers and enhance their brand images.This research used K-Means clustering for persona segmentation of 413 social media users which will give wide perspective of demographic, psychographic, and behaviour of consumers in Indonesia which measured by their social media marketing perceptions.This study segmented customer based on their social media marketing perceptions of performance expectancy, hedonic motivation, interactivity, informativeness, and perceived relevance.The aim is to examine how customer's social media marketing perceptions influence purchase intention in e-commerce clothing line.Resulted from seven times iteration of data segmentation, there are two-clustering named "susceptible" and "impervious" that both have the same significance result of performance expectancy towards purchase intention through regression testing.While regression found performance expectancy significant for both clusters, limitations exist regarding the even sampling distribution from all over Indonesia.Another finding from the regression for this research states that informativeness is also important for the "susceptible" cluster.The findings indicate that people are more likely to be attached if they find the advertisement on social media as more useful, valuable, and informative about the product and discounts.
This study examined factors influencing business intelligence (BI) adoption and its impacts on performance in Jordanian healthcare organizations.A survey of 303 healthcare providers assessed seven hypotheses related to technological, organizational, and environmental determinants of BI adoption, grounded in the TOE framework and resourcebased view theory.Structural equation modelling revealed significant positive effects of relative advantage, cost-effectiveness, organizational readiness, and competitive pressure on BI adoption.However, top management support and government regulations were nonsignificant.Additionally, BI adoption had a significant positive impact on healthcare providers' performance.The findings provide insights on leveraging BI strategies in healthcare, with implications for practitioners, system vendors, and policymakers in Jordan.
Financial inclusion is one of the top priority issues as an important key towards reducing extreme poverty and increasing shared prosperity by giving people easier access to financial facilities.The World Bank and the G20 countries have a high commitment to providing financial inclusion for organizations, companies and the general public.The issue of financial inclusion was greatly amplified during the COVID-19 crisis.The objective of this study is to find out the relationship between financial inclusion, financial technology and financial regulation on business performance.This research uses the variables provided by the Enterprise Survey for data published in June 2022 carried out by the World Bank called the World Bank Enterprise Survey or WBES June 2022.SmartPLS was used for the data analization method.The results of this study found that financial technology has a positive influence on financial inclusion and financial performance, both by itself and mediated by financial inclusion.However, financial regulation has a negative impact on financial inclusion and business performance, either by itself or mediated by financial inclusion.This research suggests investors and entrepreneurs in the future to improve their company's performance by increasing the financial inclusion and financial technology of the company.In addition, this study suggests regulators provide relief from regulations on the use of financial facilities so that companies can carry out business activities smoothly.
While digital leadership and innovative behavior are known drivers of innovation performance, their impact in the restaurant industry remains underexplored.This study aimed to address this gap by examining their influence along with the moderating role of absorptive capacity among cafes/restaurants in Indonesia.The analysis in this study is a quantitative analysis with a structural equation model using smart-PLS.This study analyzed 110 supervisors and managers of modern cafes and restaurants in Yogyakarta and proved that digital leadership and innovative behavior positively influence innovation performance.This study also proved that absorptive capacity is able to strengthen the influence of digital leadership on innovation performance, but is unable to strengthen the influence of innovative behavior on innovation performance.This research is expected to contribute both scientifically and actual implementation in the field as an effort to improve the company's innovation performance.
This study analyzed factors influencing green consumption intention and behavior among 350 consumers in Vietnam using structural equation modeling.Drawing on an extended theory of planned behavior model, the impacts of attitude, subjective norms, perceived behavioral control, perceived effectiveness, trust, and green product availability on green consumption intention and actual behavior were assessed.The results showed attitude, perceived behavioral control, perceived effectiveness, and trust positively influenced green consumption intention.Green product availability negatively moderated the intentionbehavior relationship.However, subjective norms had no significant effect on intention.The findings provide useful insights into leveraging consumers' internal motivations and external drivers to promote green consumption in Vietnam's rapidly developing economy.Further research should explore additional barriers inhibiting green purchase behaviors.
Predicting stock prices is one of the challenges in the field of financial markets.Due to the high volatility of stock prices, traditional data prediction methods cannot identify the most relevant and critical market data for predicting stock prices.This study discusses the use of Bidirectional-LSTM and Dual Attention Network in the process of predicting stock prices using stock data of state-owned banks.from historical Yahoo finance.The purpose of this study is to build a model that applies the two methods of Bidirectional-LSTM and Dual attention Network.The features used in the prediction process are open, high, low, volume, adj close.The method proposed by this research is compared with the LSTM and BI-LSTM models.The results show that the performance of the proposed method is the best, MAE, MSE, RMSE are the smallest with the results MAE = 0.079, MSE = 0.012, RMSE = 0.110.
Over the past few years, TikTok marketing has experienced a significant surge in popularity, becoming a powerful tool for promoting personal and business brands, products, and services to consumers.Particularly, the trend of influencer marketing on this platform in Vietnam has witnessed a remarkable explosion.This study aimed to examine the impact of TikTok influencer characteristics on purchase intention among Generation Z users in Ho Chi Minh City, Vietnam.An online survey was conducted with 209 TikTok users aged 18-27.Using source credibility and attractiveness constructs, the results showed influencer trustworthiness, expertise, likability, similarity, and familiarity positively affected purchase intention.Trustworthiness exerted the strongest influence.The findings imply developing targeted social media marketing campaigns leveraging credible and relatable TikTok influencers can effectively motivate purchase behavior among Vietnamese youth.
The empowerment of MSMEs (Micro, Small and Medium Enterprises) in in global changes and intense competition required MSMEs being strong enough to encounter demands globally and as a whole.In contrast to statistics has shown them to have little export-related activity, since they barely represented 14% of the non-oil and gas region's or sector's overall export value.This study built on the Diffusion of Innovation (DOI) Framework in order to determine the impact of digital technology in enhancing the competitiveness of MSMEs with an export focus.The method used was to analyze DOI framework factor using Structural Equation Model-Partial Least Square (SEM-PLS) method.The results of DOI models especially the technological dimension was formed by the variables complexity, relative advantage, trialability, and observability which had a straight and non-significant impact on technology adoption from export-oriented MSMEs.In the DOI model, only the trialability variable had a straight and significant relationship, even the compatibility variable had a negative and insignificant influence on the adoption of digital technology
Since 2009, there has been a lot of debate over whether digital money can function as an alternative currency.Such digital currency is a currency in which monetary value is stored in electronic form according to a digital algorithm created by the issuer in advance.In some cases, digital currency is intended to be used instead of actual legal currency.In particular, many investors are psychologically aware of the double-sided phenomenon of great risk and great profit as an investment in digital currency investment, and the main psychological effect on investors in this situation is investor sentiment.In order to succeed in investing in digital currency, rational thinking that is not influenced by collective investment psychology is required.Therefore, this study conducted an empirical analysis to find out the effect of real estate investor sentiment on investment performance and reinvestment intention.Data collection in this study was conducted in a self-reported manner for 30 days from March 2, 2023 to April 1, 2023, targeting those who invested in digital currency at least twice.A total of 250 questionnaires were distributed and a total of 202responses verified.The survey analysis wasdone with SPSS 21.0 and AMOS 21.0 programs, and path analysis was conducted to proceed with the hypothesis verification of this paper, and the verification results are summarized as follows.First, as a result of analyzing the hypothesis that investment psychology factors (optimistic psychology, self-confidence, crowd psychology) of digital currency will affect investment performance, all factors such as optimistic psychology and self-confidence have a positive (+) effect on investment performance.Second, as a result of analyzing the hypothesis that in as a result of analyzing the hypothesis that investment performance in digital currency will affect investors' intention to reinvest in digital currency, investment performance has a positive (+) effect on reinvestment intention.In particular, this study has limitations, as it is a study using data that may have a risk of error in measurement data.Therefore, this study investigated how investor sentiment impacts investment performance and reinvestment intentions for digital currencies using Bitcoin as an exemplar.An online survey of 202 cryptocurrency investors examined three facets of sentimentoptimism, self-confidence, and crowd psychology.Path analysis revealed self-confidence exerted the strongest positive influence on performance.In turn, performance significantly predicted reinvestment intent.Although sentiment facets uniformly bolstered performance assessments, realizing the full potential of digital currencies necessitates mitigating biases and grounding decisions in objective indicators.Further inquiry into sentiment's nuanced, contextual impacts is warranted.
This study presents an innovative sustainability assessment framework leveraging crowdsourced data from social media and review platforms.The model encompasses 12 carefully chosen indicators across social, economic, and environmental dimensions.Analysis of four major Indonesian cities reveals comparative strengths and weaknesses, categorizing them into clusters to inform targeted policy improvements.The findings validate crowdsourced data as a robust real-time data source for sustainability assessments.This research provides a strategic roadmap to guide smart city initiatives tailored to the unique ecosystems of each urban area.
This study aimed to evaluate the net benefits of an ERP system implementation at a pharmaceutical company in Indonesia using the DeLone and McLean IS Success Model.A survey was conducted with 52 ERP users along with interviews to assess system quality, information quality, service quality, use, user satisfaction, and net benefits.The results showed system quality had a significant effect on user satisfaction, while information quality, system quality, service quality, and use did not significantly impact net benefits.User satisfaction had the strongest effect on net benefits.The findings imply improving system quality should be prioritized to increase ERP success.More training and change management may also increase user adoption and satisfaction.
The study verifies the impact of strategical managerial accounting methods on organizational change for Jordanian companies.The study adopted a descriptive analysis methodology, where the study instrument was an organized questionnaire covering the axes of the study and distributed to a representative sample of employees working in institutions that focus on evaluation of non-financial performance indicators by applying management accounting methods.The findings of the study indicated that there is a significant positive relationship between strategical managerial accounting methods and the organizational change.An effective impact for management accounting tools on innovation, product development, environmental sustainability and social responsibility has been demonstrated.The researchers suggest that the dimensions of the independent variable that represent accounting should be considered and incorporated into future Nonfinancial performance evaluations and implementations.
This research investigates the determinants of innovative work behaviors (IWBs) among university teachers by applying the theories of knowledge management and selfdetermination.A total of 437 teachers from 26 public universities in Guangxi, China, participated in this survey.According to Structural equation model (SEM) analyses, both intrinsic and extrinsic motivations have a positive influence on IWBs.Knowledge sharing, meanwhile, mediated in part the effect of intrinsic motivation but completely the relationship between extrinsic motivation and IWBs.Additionally, individuals' gender and age moderated the motivation-knowledge sharing relationship, while organizational context did not play a moderating role.This research sheds light on these boundaries and mediating mechanisms by providing theoretical insights and practical recommendations for promoting educational innovation through enhancing faculty internal motivation, collaborative environments, and targeted assistance.
Many organizations face significant challenges in implementing KnowledgeManagement (KM) during and after a pandemic.In the pandemic era, KM can be used to boost organizational resilience against pandemic-related disruptions.Using KM during a pandemic will assist organizations in maintaining operations and continuing to provide services to customers.The aim of this study is to assess (evaluate) KM factors that have been successfully implemented in a company or organization.Thematic Analysis (TA) method was chosen as the primary technique to analyze qualitative research and the interpretive structure modeling (ISM) method will be used in this study to analyze the implementation of Critical Success Factors (CSF) for KM at bank XYZ.Based on the findings seven CSFs were identified as the result of thematic analysis, namely: leadership, organizational culture, technology, organizational structure, KM strategy, employee training and education, and team working.As a result of the findings in ISM analysis, leadership (CSF1) is one of the most important determinants of success factor in implementing a KM strategy at XYZ bank.As well as recommendations for implementing KM elsewhere during or after a pandemic, seven CSF must be considered during the conceptualization, design, and implementation stages of the program KM. Prior to implementation, managers (leaders) should create a proper plan such a responsible change management plan in order to prevent these failures.
This study investigates the impact of geographical, cognitive, and social proximities on the success of university-industry research collaboration (UIRC) projects.The success of UIRC projects is evaluated by firms' innovative performance regarding whether UIRC leads to innovations that firms can effectively utilize for commercial purposes.The empirical analysis is based on data collected from 153 firms engaged in research collaborations with universities and receiving financial support through the Research and Researchers for Industry (RRI) program, a public research granting initiative in Thailand aimed at enhancing firms' innovativeness through collaborations with universities.The results from ordinal regression analysis reveal that geographical and cognitive proximities improve firms' innovation performance, suggesting that physical proximity and shared knowledge and expertise contribute to the favorable outcomes of UIRC projects.However, our findings do not indicate a significant impact of social proximity on firms' innovations, suggesting that relational aspects alone may not be sufficient for driving successful collaborations.These findings shed light on the importance of geographical and cognitive proximities in fostering successful UIRC projects and their subsequent impact on firm innovation.The outcomes provide valuable insights for policymakers, industry practitioners, and researchers seeking to optimize university-industry collaborations and leverage the benefits of geographical and cognitive proximity.Future studies could further explore additional factors that may mediate or moderate the relationship between proximities and UIRC project success, enhancing our understanding of effective collaboration strategies in the context of university-industry research partnerships.
Over the past 25 years, the economy in general and the Fast Moving Consumer Goods (FMCG) market in particular in Vietnam have been fiercely competitive.Every year, our country has many businesses and companies established and many of them have to close and go bankrupt.One of the reasons to explain the failure is that the business cannot determine the demand of the industry in which it operates.Determining demand is difficult, determining factors affecting demand is even more difficult.Consumer demand is not only influenced by factors of consumer income; but also influenced by cultural factors such as religion, belief, age, gender, work, living area and many more.Vietnam, a country with a thousand years of civilization.Therefore, considering the influence of cultural factors on Vietnamese consumer demand for the fast-moving consumer goods industry is extremely necessary.Therefore, an in-depth study using mathematical models to clearly quantify the influence of cultural factors on consumer demand for the FMCG industry will have reference value for businesses, as well as policy makers.This article conducts research to determine the influence of cultural factors on consumer demand for fast-moving consumer goods in Vietnam; as well as compare the differences in consumer demand when they are culturally different.The study conducted expert interviews and quantitative calculations with a sample size of n = 1221 samples from Vietnamese citizens aged 20 years and older.Collected data are processed using SPSS 20 and SmartPLS 4.0 software to test the suitability of research hypotheses and models.The results show that the influence of culture on consumer demand exists.Future research should explore more different professions at home and abroad.
Depressive disorder is a psychiatric problem that has a high contribution to the cause of disability in the world, as it can cause people who experience it to not perform well in daily life which might affect their work life.To help patients who needed immediate treatment, the World Health Organization (WHO) has created a program called Mental Health Gap Action Program (mhGAP) in order to increase development that focuses on monitoring mental health in a globalized world.This research explores several different classification model architectures with deep learning approaches in order to detect Twitter users' tweets that were classified as tweets with depressive disorder and then compare the results between the proposed models.As a result, the Long Short-Term Memory (LSTM) model paired with Transformer word representation models has provided better performance when compared to employing Bidirectional Encoder Representations from Transformers (BERT) baseline classification or LSTM classification models alone.The evaluation of the classification model's architecture reveals that the LSTM model, when paired with MentalBERT, exhibits the highest accuracy performance, achieving an accuracy score of 0.86.This approach leverages the respective advantages of transformer and LSTM models to facilitate the accurate analysis of syntactic and contextual information associated with individual words, hence enabling the appropriate representation or domain-specific of sequential data.
Nowadays, administrators increasingly stress the development of organizational culture, particularly fostering a knowledge-sharing environment in businesses to optimize employee potential and productivity.Joint Stock Commercial Banks hold a pivotal role in the national economy, especially concerning monetary operations, credit services, and payments, underscoring the importance of the payment function.Advisory staff significantly shape the bank's image, especially in these banking institutions.However, knowledge sharing among employees, crucial for organizational success, is often neglected in bank development strategies.Overlooking effective intellectual asset management can result in financial losses and hindered growth.The absence of policies and solutions aimed at enhancing knowledge sharing through improved organizational culture further impedes employee efficiency.Therefore, this study proposes an AHP-based (Analytic Hierarchy Process) approach for selecting knowledge sharing policies in Vietnamese commercial banks.Expert scoring and pairwise comparisons of criteria and policies were used as input to the AHP analysis.The results identified two key policies related to output orientation and Japanese management approaches as top priorities for improving knowledge sharing and employee performance.The research contributes a systematic methodology for integrating qualitative insights into policy selection for banks.For practice, the findings provide valuable guidance for Vietnamese bank executives and policymakers on leveraging AHP to make informed decisions when formulating knowledge sharing initiatives
