Digital transformation has become fundamental to improving the competitiveness of microenterprises worldwide, and Huancayo, Peru is no exception. By adopting digital technologies, microenterprises can improve their operational efficiency, expand their market reach and enhance their abilities to make informed decisions. They have therefore found innovative ways to adapt to changing market conditions, such as incorporating information technologies, online sales, use of social networks and home delivery. Despite this, many microenterprises struggle to survive due to lack of access to financing and adequate government support. This study aimed to analyze how individual, group and organizational factors influence the digital transformation of microenterprises and its impact on their competitiveness. The research was carried out in a sample of 80 multi-sector microenterprises, using a non-probabilistic and cross-sectional research design of a quali-quantitative and explanatory nature, using SEM-PLS. The results of the study indicate a positive relationship between individual, group and organizational factors and digital transformation, as well as with the competitiveness of microenterprises. The coefficients of determination (R2) obtained were 0.8897 and 0.7931 for digital transformation and competitiveness, respectively, indicating a predictive ability in both cases. These findings are of great use to policy makers, business owners and researchers interested in fostering the growth and development of microenterprises in emerging economies.

This study aims to analyze and examine the influence of internal auditor certification, risk assessment, and the role of senior management on the effectiveness of cybersecurity for internal auditors who have experience in cybersecurity and information technology. This research method is a quantitative method, data analysis uses structural equation modeling (SEM) with SmartPLS 3.0 software tools. The population of this study is internal auditors who have experience in cybersecurity and information technology. The sample for this study was 480 respondents who were determined by the snowball sampling method. The research data was obtained from an online questionnaire which was distributed via social media. The questionnaire was designed using a Likert scale of 1 to 5. The stages of data analysis were validity test, reliability test and significance test. The results of this study indicate that internal auditor certification has a positive effect on cybersecurity effectiveness, risk assessment has a positive effect on cybersecurity effectiveness, and the role of senior management has a positive effect on cybersecurity effectiveness.

This study aims to estimate the factors determining the perceived behavioral Intention to use the QR code on a smartphone in the commuter line tap-in tap-out ticketing process as an alternative payment. The rapid growth of information technology in the last two decades had become a factor that encouraged individuals and groups to utilize information technology from devices or technological tools as effectively and efficiently as possible to facilitate the activities and business processes being carried out. This research used the probability sampling technique with a random sampling of 100 commuter line passengers. In addition, this research used the data analysis technique of the Structural Equation Model-SmartPLS3.0. The results indicated that perceived compatibility and enjoyment significantly affected the perceived ease of use and usefulness in the consumer's behavioral Intention to use QR Code technology on smartphones as a substitution for purchasing commuter train tickets. However, the three other variables, perceived convenience, self-efficacy, and enjoyment, do not significantly influence the usefulness of using QR Code Technology on smartphones as an alternative for purchasing commuter tickets, and neither do the technological knowledge and perceived compatibility.

As battery electric vehicles become more prevalent in emerging markets, it is important that policymakers and the public consider their potential to contribute to the reduction of greenhouse gas emissions. This study explores the link between financial knowledge, attitude and green economic sustainability. The study, which was conducted in Indonesia, collected data about 155 individuals. Through a PLS-SEM analysis, the study revealed that financial knowledge and green innovation were related to the attitude toward sustainability. The study also found that green innovation was associated with the economic sustainability of the country. However, it did not find any significant relationship between financial knowledge and green investment. The study revealed that financial literacy is very important for consumers to adopt sustainable practices. It can help them make informed decisions when it comes to the use of battery electric vehicles. This study was conducted after the Indonesian government stated that it would promote the use of green products. Innovation and green investment can help improve the economic sustainability of a country by increasing people's green attitudes and knowledge.

There has been a significant increase in the study of the history and culture of historical artifacts, whether they take the form of cultural heritage or Waqf. A literature review of web-based information systems was conducted for digitizing historical preservation and Waqf. Papers were sourced from various databases, including Publish or Perish, which produced 1043 journals, 370 articles, and 673 items from reputable sources, Google Scholar, and Crossref, respectively. The focus of the literature review was the information system for digitizing history and Waqf and integrating ontology databases. This literature review study aims to trace the evolution of study objects related to history and endowments. The results showed that most studies emphasized the user-understanding aspect of digitization, while the technical aspect was focused on using cutting-edge technology, such as 3D and virtual reality.

The Malaysian government actively encourages the development of e-wallets in Malaysia and set a goal to enter a cashless society by 2050. However, the mobile technology that has swept the world does not seem to be developing smoothly in Malaysia. The objective of the study is to investigate the determinants that impact the user behavior of Malaysians in adopting e-wallets and proposes integration theoretical models, namely UTAUT 2, Diffusion of Innovation, and self-efficacy to support the study. Data were collected among 253 Malaysian e-wallet users in the Federal State of Kuala Lumpur. The survey (online questionnaire) was distributed to respondents via QR codes and links as data collection. The PLS-SEM was utilized to test hypothetical relationships. The findings of the study demonstrated that compatibility, hedonic motivation, habits, and self-efficacy have a significant relationship with the user behavior of e-wallets. Self-efficacy was found to be the strongest predictor in influencing the use behavior of e-wallets. Conclusion, implications, and suggestions for future study were also discussed.

This study examined the perception of investors toward the factors of Artificial Intelligence (AI) that impact behavioral intention of AI adoption. TAM was used with the addition of three factors of subjective norms, trust in service and service provider, and training. Jordanian stock market investors with basic investment knowledge were selected as the study participants using a convenience sampling method. The analyzed data were obtained from 610 responses. Results demonstrated the significant impact of trust in service and subjective norms on AI. Attitudes, perceived ease of use and perceived usefulness showed statistical significance toward intention to use AI. Results also showed significant impact of training on perceived ease of use.

The study aimed to investigate the impact of creative thinking on marketing ideas and their influence on the structure of modern Jordanian advertisements for telecommunications companies. The methodology involved developing a survey instrument with four independent variables and one dependent variable. The independent variables were Creative Marketing (CM), Marketing Strategy (MS), Online Marketing (OM), and Social Media Marketing (SMM). The dependent variable was the Structure of the Modern Jordanian Advertisement (SMJA). The study population is customers of Jordanian telecommunications companies who reside in Jordan. A sample size of 270 respondents was selected through a convenience sampling method. The data were analyzed using statistical software, such as SPSS and AMOS 27 version, to test the research hypotheses. The results indicate that all four paths are statistically significant. The first hypothesis, which relates to creative marketing, has the highest estimated result of 0.62, while the second, third and the fourth hypotheses have estimated results of 0.152, 0.133, and 0.111, respectively. Overall, the results support the hypothesis that all four marketing domains have a significant impact on SMJA.

The purpose of the current research is to explore the impact of Instagram pages on consumers’ purchasing intentions among millennials in the fashion industry in Jordan. This study uses a quantitative, cause-effect, and cross-sectional approach. Online surveys were used to collect data from 212 respondents through different social media tools. The collected data was analyzed by SPSS software and Smart PLS to test the research hypothesis. Results show that bloggers’ recommendations significantly affect eWOM and engagement; usefulness information significantly affects eWOM and engagement; while trust insignificantly affects eWOM and engagement; brand familiarity insignificantly affects eWOM and engagement; participation and socialization insignificantly affect eWOM and engagement. Finally, useful information, eWOM, and engagement significantly affect consumers buying intention on Instagram. The study gives new information about the influence of Instagram pages on consumers' intentions. Therefore, this research expands the knowledge about factors that affect customers’ buying intentions. Since the study is a quantitative cross-sectional conducted on fashion industry Instagram users through an online survey in Jordan, which may limit its generalization to other industries and countries, therefore, the study suggests applying similar studies to online users of different ages, industries, and countries. Marketers can use Instagram to contact, promote, advertise, and sell their products by developing strong relationships with their customers through different social media tools. Using social media tools for marketing and selling reduces paperwork, printed advertisement, and transportation, which positively affects corporate social responsibility and reduces the consumption of energy and pollution.

This study aims to investigate the impact of Business Intelligence Systems (BIS) on the quality of strategic decision-making in top-level management. The independent variables in this study are Data Quality, Data Visualization, and BI Management, while the dependent variable is the Quality of Strategic Decision-Making. Additionally, the study explores the moderator variable, BI Scope, to further understand the relationship between BIS and the quality of strategic decision-making. By providing valuable insights into the relationship between BIS and the quality of strategic decision-making, this study contributes to the existing body of knowledge on business intelligence and strategic decision-making. The findings show that BI Management, BI Scope, Data Quality, and Data Visualization have substantial and favorable correlations with the quality of strategic decision-making. Effective BI Management techniques contribute to higher decision-making quality, emphasizing the necessity of BI resource management. The study also underlines the importance of BI Scope as a moderator variable, demonstrating its impact on the connection between BI and quality of decision-making. In addition, the research shows that Data Quality and Data Visualization have a considerable influence on strategic decision-making quality. Using effective visualization tools and ensuring high-quality data improves the results of decision-making processes. The interaction impact between BI Scope and Data Quality, on the other hand, was determined to be non-significant.