A good Organizational Image is already known as the important factor in developing higher education organization. This research investigated the effect of marketing variables, namely Service Quality, Social Media and Public Relation, toward the Organizational Image. This research was conducted at private universities located in South Tangerang City, Indonesia. The sample of this research were 715 students taken in proportional random sampling from 8 private universities. The method of data collecting from each variable used the questionnaires, and data analysis used the Path Analysis Technique which was calculated by Smart PLS-SEM program. The research findings derived conclusions that (1) Service Quality, Social Media and Public Relation have significant effect on Organizational Image, and (2) The Social Media and Service Quality have significant effect on Public Relation. Based on those findings we recommend that improving the Organizational Image should be prioritized through strengthening the Service Quality, Social Media and Public Relation activities.

The effect of contextual factors namely information quality, service quality, system quality, Technological readiness, trust in applications (app) and COVID-19 health anxiety, on the intention and consequently the actual use of Mobile Payment (MP) app was examined in this study. Trust, as mediator to the relationship between technological readiness and intention to use MB-app was examined also. Data were obtained from 740 Jordanian Mobile Banking (MB) app users through an online survey. The relationship between service quality, system quality, information quality, trust in the app, COVID-19 health anxiety, Technological readiness and the intentions to use MB-app and the actual use of MB-app was empirically examined. The results showed a positive relationship between service quality, system quality, information quality, trust in the app and COVID-19 health anxiety, and the intentions to use MB-app, and in turn he actual use of MB-app, and a positive mediation of trust on the relationship between COVID-19 health anxiety and the intentions to use MB-app.

This study investigates the role played by service quality at manufacturer-distributor junction in small-medium manufacturing units, and presents a model that proposes and validates that contribution towards service quality on behalf of both the distributor and manufacturer leading to satisfaction as well as loyalty. The research design for this study includes a combination of literature review, exploratory interviews and a questionnaire survey conducted through interview schedule from 101 respondents working in different small-medium manufacturing units (SMEs) of North India. The study uses Structural Equation Modeling (SEM) to develop dual directional scales to measure service quality at manufacturer-distributor junction besides testing a set of propositions related to service quality. A model showing linkages of manufacturing organization’s service quality with distributor service quality leading to mutual satisfaction and loyalty is developed. The model is empirically tested and is found to be fit. This study would be of interest to SME practitioners interested in improving service quality w.r.t. distributors. This study finds support for strengthening relationships with distributors to achieve a win-win situation. Future researchers may validate this scale, and empirically test the proposed model in similar settings. Insights derived from this study may be transferred to other junctions of a manufacturing supply chain such as suppliers, retailers, employees and end customers.

This study aims to explain the effect of service quality on satisfaction, service quality on trust, service quality on loyalty, satisfaction on loyalty and trust on loyalty. The population in this study are all consumers who have made transactions at an Indonesian marketplace, Shopee.co.id. The number of respondents used as a sample is 300 respondents. The results showed a significant influence between variables in the four interaction effects, namely service quality on satisfaction, service quality on trust, satisfaction with loyalty, and trust in loyalty. Meanwhile the insignificant effect was service quality on loyalty, the results of the total effect calculation also showed that Trust is a mediating variable between service quality and loyalty. marketing stimuli that can be carried out include maintaining cash on delivery services to increase customer trust, optimizing customer satisfaction through service improvement, providing more organized information so that consumers are easier and more comfortable in transacting, providing a 'tracking order' stage for customers, so that customers can monitor the progress of product orders. For further research, it is hoped that it can develop more variables under study and make comparisons of other e-commerce both in Indonesia and internationally.

This study aims to determine and analyze the influence of private university digital leadership and information system success models (system quality, information quality, service quality) on the satisfaction of e-learning users of agricultural students. This research method is a quantitative survey, and the number of research samples is 323 agricultural students who were selected by a random sampling system. The sampling technique used is simple random sampling. The analytical method used is SEM with the help of SmartPLS 3.0 software. The results show that the role of digital leadership had a significant positive effect on the three variables of the information system success model. Likewise, system quality, information quality, and service quality have a significant positive and significant effect on user satisfaction of e-learning systems. This finding can increase the exploration ability of agricultural students as users to obtain various agricultural information. This finding confirms previous studies which state that usage has a significant effect on user satisfaction. Suggestions for further research, in this study only involves a single student perspective. Future research is recommended to use the perspective of the organization/institution (e-learning system management unit), lecturers, and university employees and agricultural stakeholders.

The engagement between customers and brands is being transformed by artificial intelligence (AI). However, there has been little study into AI-powered customer experiences; hence, this research aims to examine how the incorporation of AI in purchasing might result in a better AI-powered customer experience. This research will develop a conceptual model based on the service quality model and trust-commitment theory. Further to this, an online questionnaire was distributed to individuals who had utilised an AI-powered service provided by a particular brand, and consequently, a total of 354 responses were analysed using Structural Equation Modelling (SEM). The results that were deduced from the responses demonstrated that relationship commitment has begun to substantially impact AI-powered customer experiences. In addition to this, the results also revealed that perceived sacrifice and trust both play an important role in mediating the impacts of perceived convenience, personalisation, and AI-powered service quality. This finding contributes to the previous literature by highlighting the mediating impacts of perceived sacrifice and trust, as well as the significant influence of relationship commitment on AI-powered customer experience. Furthermore, the research poses significant implications for merchants who use AI in services provided to their customers.

The study aimed at developing a new model that integrates mobile banking service quality in its three dimensions: information quality, system quality, and interface design quality, with customers’ satisfaction. The study used a survey method for collecting data and a sample of (439) customers downloading mobile banking applications and practicing banking transactions was selected randomly. The study model was validated using the validity and reliability measures in the SPSS statistical program, and Partial Least Square technique was used for testing the model hypotheses. As a result, it was found that information quality, system quality, and interface design quality significantly affected customer’s satisfaction to use mobile banking service whilst system quality was found the most predictive one for the customer’s satisfaction.

This study aims to analyze the improvement of the operational performance of Indonesia’s Soekarno-Hatta Airport train through service quality which is mediated by train passenger loyalty and passenger satisfaction. The main problems in this study are the use of the same railway for long-distance train, airport train, and commuter Line train, the limited use of airport railway with four schedules, the headway which becomes 30 minutes since the number of travels becomes 82 trips, and the tariff being applied now is considered as burdening the passengers. The research method uses a quantitative analysis approach with the technique of Structural Equation Modeling-Lisrel. Data collection is done through observation and questionnaire distribution. The respondents are 306 passengers of trains heading for Soekarno-Hatta Airport. The benefit of this study for the domestic railway company is that by improving service quality, passenger loyalty and satisfaction, it will improve the operational performance of airport trains. The result of this research indicates the significant influence of service quality variable on passenger loyalty through passenger satisfaction, the significant influence of service quality variable on operational performance through passenger satisfaction and passenger loyalty as well as the significant influence of passenger satisfaction variable on operational performance through passenger loyalty.

This study aims to investigate the factors that influence consumer satisfaction with e-grocery shopping. Moreover, it also delves into factors that motivate shoppers to buy groceries from online retailers rather than conventional stores. A primary survey was administered to collect data. Initially, 500 questionnaires were circulated to respondents. People who have ordered groceries from online sites were the expected respondents. In this study, convenience sampling was used, and data were analyzed using structural equation modeling (SEM). The findings affirmed the relationship between consumer satisfaction and perceived convenience, risk factors, perceived product quality, and time value. However, perceived value and value for the time have a little significant effect on consumer satisfaction. There have been relatively few academic studies that look at the variables that influence customer satisfaction when shopping for groceries online. Most of the studies look at the variables that influence consumer satisfaction in the life insurance and financial services industries. By analyzing the data from Delhi and the Nation Capital Region (NCR) of Delhi, this research aims to bridge this gap available in the literature.

Health services, especially hospitals, are facing significant changes in the industrial era 4.0. Hospital digitization is responsible for building green hospitals and improving service quality in the era of modern technology. Green Human Resources Management (GHRM) is becoming known as the HRM concept that encourages employee commitment and environmental aspects. GHRM is an HR management system suitable for organizations, including hospitals that have a significant environmental impact. Hospitals are very dependent on the quality of service provided to their customers. GHRM as a management model in hospitals is very important to encourage hospital digitization and service quality. This research was conducted to answer the gap in hospital research in seeing the effect of GHRM on service quality in digitizing hospitals in the industrial era 4.0. GHRM and Service Quality is used in the healthcare industry to test its application in hospitals in Indonesia. They are using the SEM PLS method, a variant-based structural equation analysis that focuses on predictive models, to look for predictive linear relationships between variables to process data for 1004 respondents from 19 State-Owned Enterprises' hospitals throughout Indonesia. This research can an-swer research gaps related to the effect of GHRM on Service Quality and Hospital Digitalization in Indonesia. Based on Hospital Digitalization, GHRM affects Service Quality, which is closely related to environmental problems.