The traditional market holds a pivotal role in Indonesia’s economy because it is the main contributor to national retail grocery transactions. Nevertheless, competition with modern markets and retailers makes their competitiveness lessened. From the financial side, traditional market SMEs are vulnerable to financial risks and still face obstacles in accessing financial resources due to a lack of financial literacy. In addition, the level of digitalization of traditional market SMEs technology is also still low, so digital adoption is still a challenge that must be faced. Therefore, this study was conducted to identify the influence of financial and technological factors on the level of adoption of SME technology in traditional markets and its impact on the performance and sustainability of the SME business. This research will be conducted in a quantitative cross-sectional study of 225 SMEs in the traditional market. The sampling technique that will be used is judgmental sampling. This study’s research data will be analyzed using SEM-PLS. The study result shows that financial literacy positively affects SME financial accessibility and financial risk. The study also confirms that financial accessibility, performance expectancy, effort expectancy, and social influence are variables that significantly affect SMEs digital adoption, while the effect of financial risk on digital adoption is found to be insignificant. The study result also shows that SMEs digital adoption is positively affecting their performance, which eventually affects their business sustainability.

In the current era of globalization, organizational culture cannot be separated from Human Resources, which is one of the main elements that occupies an important and strategic position in improving company quality. By using these Human Resources in the current era of globalization and increasingly sophisticated technology, it makes it easier for people to access any activity via technology. The online delivery service feature is useful for buying food that consumers want without having to waste time queuing and traveling. In fact, consumers often experience problems when ordering food via online delivery orders. However, providers of online delivery features are still able to convince consumers to stay and continue to use these features. In this research the author used a quantitative approach. The quantitative approach is the measurement of objective quantitative and statistical data through scientific calculations derived from samples of people or residents who are asked to answer a number of questions on a survey to determine the frequency and percentage of their responses. In this quantitative theory, research will be predetermined, analyzing statistical data and interpreting statistical data.The population in this study was 100 random online or remote application users of the GoFood application. The research method used is the explanatory survey research method. Data collection used is a questionnaire or self-administered questionnaire. The research results prove that using this online application can make it easier and create a culture among people to order online. Of course, the nature of new culture or traditions can influence people's behavior in carrying out transactions every day, especially in terms of food products that every Indonesian citizen needs every day.

This study aims to analyze the factors that influence the intention to use digital providers. Performance expectancy is the extent to which users believe that using technology will increase productivity and effectiveness in achieving their goals. Effort expectancy refers to how easy users believe the technology will be to use. If the technology is perceived as easy to use, then users are more likely to adopt it. Social influence refers to the influence generated by others on the decision to use technology. This factor can include social support or recommendations from others, influence from groups, or social norms related to technology use. In this study, a random sampling technique was used as the sampling method. A total of 214 data points were collected through a self-administered survey from respondents of two luxury handbag brands in Indonesia. The analysis method in this research used structural equation modeling (SEM). There are significant relationships between ideal self-congruence and customer love for a brand, between ideal self-congruence and customer loyalty to a brand, and between customer love and customer loyalty to a brand. On the theoretical level, this research contributes to a better understanding of how to create customer loyalty to brands through tracking the self-congruence construct and customer love for brands. On the managerial level, this research provides useful actionable guidance to loyalty program managers on how to create luxury brands that incorporate customer ideal self-congruence and simultaneously foster strong emotional bonding to brands. Contemporary interest in customer loyalty to brands has resulted in a variety of related research being conducted in many areas. Our investigation reveals that few studies address the relationship between ideal self-congruence, brand love, and customer loyalty to luxury brands.

This study intends to examine the relationship between brand equity, product quality, and service quality, as well as their partial and simultaneous effects on consumer satisfaction and loyalty. Path analysis is the data processing technique employed by researchers. 100 Vespa customers served as the sample for this study's respondents. Primary data were gathered as a consequence of respondents' responses to the questionnaires that were sent out. According to the findings from the first equation, brand equity, product quality, and service quality all have a simultaneous and partial impact on customer happiness. According to the study's findings, the variables of product quality, service quality, brand equity, and customer happiness have a simultaneous and partial impact on customer loyalty based on the second equation.

Purpose: This research is conducted to examine the influence of ideal self-congruence on customer love and loyalty to two luxury brands.   Theoretical Framework: Luxury brands have three dimensions, namely functional, experiential, and symbolic. A brand is said to be luxurious if it has some characteristics such as high quality, high price, sensuality, beauty, exclusivity, historicity, and uniqueness. Customer loyalty to brand is a crucial strategy choice for companies struggling to maintain business continuity. The organizations believes that brand loyalty can provide benefits for organization. Brand love is one of the determinants of brand loyalty. The concept of love developed in the context of interpersonal relationships.   Design/Methodology/Approach: Sample random sampling technique used as sampling method in this study, this research collected 214 data through self-administrative survey from respondents of two luxury handbag brands in Indonesia. Analysis method in this research using Structural Equation Modelling (SEM).   Findings: There are significant relationships between ideal self-congruence and customer love to brand, between ideal self-congruence and customer loyalty to brand, and between customer love and customer loyalty to brand.   Research/Practical/Social Implications: On the theoretical level, this research contributes to a better understanding of how to create customer loyalty to brand through tracking the self-congruence construct and the customer love to brand. On the managerial level, this research provides a very useful actionable guidance to loyalty program managers on how to create luxury brand which incorporates customer ideal self-congruence and simultaneously arises a strong emotional bonding to brand.   Originality/Value: The contemporary interest in customer loyalty to brand has resulted in a variety research of it conducted in many areas. Our investigation indicates that there are a few researches which address the relationship between ideal self-congruence, brand love, and customer loyalty to luxury brands.

This research conducted in one construction company in Indonesia, the company was facing several problems, many projects that already ended have delays. Overdue payment one of the projects can reach Rp 252.544.148.-. For calculating late payment that the company can save researcher using Critical Path Method (CPM)-Crashing. CPM-Crashing method can accelerate project duration by increase resource budget, so company doesn’t need to pay overdue payment. The result of CPM-Crashing is company can save Rp. 227.584.147.-late payment. To anticipate project delay proper planning is required. One of project planning method is project scheduling. Great loss because of the overdue amount, the company must evaluate their project schedule. The Researcher using CPM-Project Evaluation Review Technic (PERT) and Critical Chain Project Management (CCPM) both methods can give new project schedule. CPM-PERT can give probability project finish and CCPM can give new project schedule. The result of this research is probability project is not delay is very low that is only 55% project can finish on time, the company must try CCPM schedule.