The purpose of this study is to analyze the relationship between supplier performance and supply chain performance, transformational supply chain leadership and supply chain performance, and between supplier performance and transformational supply chain leadership. The study uses a company analysis unit represented by one of the managers in the chain management section. The study also uses quantitative methods and data processing tools using SmartPLS 3.3.3. The population in this study is a manufacturing company in Tangerang. Two hundred and fifty online questionnaires were distributed to each company and 220 eligible respondents were tested. Based on the results of data analysis, it is found that there is a positive and significant relationship between supplier performance and supply chain performance, a positive and significant relationship exists between transformational supply chain leadership and supply chain performance and there is a positive and significant relationship between supplier performance and transformational supply chain leadership.

The purpose of this study is to analyze the effect of viral marketing and purchase intention, the influence between viral marketing and supply chain performance, the influence buzz marketing and purchase intention, the positive buzz marketing and supply chain performance, and the influence between purchase intention and supply chain performance. This study uses quantitative methods and data analysis techniques Structural Equation Modeling Equation Modeling using SmartPLS 3.0 software. The sample selection method used the snowball sampling method. Online questionnaires were sent to respondents as many as 120 Freight Forwarders in DKI Jakarta. Based on data analysis, it was found that there is a positive influence between viral marketing and purchase intention, there is a positive influence between viral marketing and supply chain performance, there is a positive influence between buzz marketing and purchase intention. There is a positive influence between marketing buzz and supply chain performance. There is a positive influence between purchase intention and supply chain performance. The novelty of this research is a model of the relationship between viral and buzz marketing on purchase intention and supply chain performance and the results of this study can be applied in other organizations and in other countries.

The aim of this research is to analyze the effects of e-Marketing, e-CRM and e-Marketing on e-Loyalty and company performance. The study is quantitative with a questionnaire approach. Data processing tools use the SmartPLS 3.3.3 software. The primary data collection method was by distributing online questionnaires through online surveys to 286 managers of non-e-commerce companies during covid pandemic and digital era. The regression test results show the e-Marketing has a significant effect on Company Performance, e-CRM has significant effect on Company Performance, e-Marketing has no significant effect on e-Loyalty, e-CRM has no significant effect on e-Loyalty), e-Loyalty has no significant effect on Company Performance, e-CRM has no significant effect on business sustainability through e-Loyalty. Finally, e-Marketing has no significant effect on Company Performance through e-Loyalty. That means e-marketing and e-CRM have a relationship and influence on e-loyalty both individually and simultaneously.

This research extends the developing literature on enterprise supply chain integration which is a series of collaborations between internal and external levels of an enterprise that collaborates strategically between suppliers, customers, and the company’s internal management. Enterprise supply chain integration is needed to ensure an enterprise achieves a certain level of service performance, have a discernible information flow, generates profit, and creates an effective and efficient decision in order to provide maximum value-added benefits to customers and suppliers. The results of previous studies are not consistent, namely the relationship between supply chain integration and the company's internal performance. This research focuses on the antecedent of supply chain integration which consists of Internal Company Integration, Customer Integration and Supplier Integration that are linked to a firm's performances. The study collected responses from 262 employees in a travel agency registered in North Jakarta and analyzed statistically using SPSS. The research used three dimensions of Supply Chain Integration (Internal Integration, Supplier Integration and Customer Integration) and interactions with Company Performance. The results of the study showed that Supply Chain Integration affects Company Performance; whereas Internal Integration and Customer Integration have a higher influence on improving Company Performance rather than Supplier Integration. The implications of the study help to increase the literature of the Supply Chain Integration and help corporate management to improve business’ performance.

This study aims to analyze the effect of transformational leadership (TL) on organizational citizenship behavior (OCB), the relationship between TL and performance, TL and IWB, Leader member exchange (LMX) and OCB, LMX and performance, LMX and innovative work behavior ( IWB), organizational commitment (OC) and OCB, OC and performance, OC and IWB, digital transformation (DT) and OCB, DT and performance, DT and IWB, QWL and OCB, QWL and performance, QWL and IWB, OCB and performance, and the relationship between IWB and performance. The method of this research is quantitative and the population in this study were 341 private universities while the number of samples used in this study were 181 private universities. The sampling technique in this study used multistage random sampling. In this study the study used a seven-point Likert scale. The study uses SmartPLS software as a data processing tool. Validity testing is applied to all question items in each variable and there are several stages of testing that will be carried out, namely through convergent validity testing, average variance extracted (AVE) testing, and discriminant validity testing. There is a positive and significant relationship between TL and OCB, a positive relationship between TL and the performance of private universities. There is also a positive and significant relationship between TL and IWB, a positive and significant relationship between LMX and OCB. However, there is no significant relationship between LMX and university performance. There is a positive and significant relationship between LMX and IWB, a positive and significant relationship between OC and OCB, a positive and significant relationship between OC and university performance, and a positive and significant relationship between OC and IWB. There is also a positive and significant relationship between DT and OCB, an insignificant relationship between DT and university performance. This means that DT cannot directly affect performance. There is an insignificant relationship between DT and IWB, a positive and significant relationship between QWL and OCB. There is a non-significant relationship between QWL and university performance. There is a positive and significant relationship between QWL and IWB as well as between OCB and university performance and also between IWB and university performance.

This study aims to determine the effect of e-service quality on customer e-satisfaction, the effect of e-trust on customer e-satisfaction, the effect of e-service quality on customer e-loyalty, the effect of e-trust on customer e-loyalty and finally, the effect of e-satisfaction on online shop customer e-loyalty. The type of research used in this research is correlational research with a quantitative approach and testing the research hypothesis was carried out by using the Structural Equation Model (SEM) approach based on Partial Least Square (PLS). The sample or respondent used in this study is 432 consumers of online shops in Banten, Indonesia. The results show that E-Service Quality had positive but not significant effect on E-Satisfaction, E-Trust had a positive but not significant effect to E-Satisfaction, E-Service Quality had a positive but not significant effect towards E-Loyalty, E-Trust had a negative but not significant effect to E-Satisfaction and finally E-Satisfaction had a positive but not significant effect on E-Loyalty.

The purpose of this study is to analyze the effect of customization purchase intention of Smartphones, entertainment, interaction, social media marketing, trendiness, and Word-of-Mouth on purchase intention of Smartphones. The study uses a quantitative method by distributing online questionnaires to 217 consumers in Banten Indonesia and the method of distributing questionnaires is a snowball sampling system. Data processing and testing of hypotheses and models in this study are based on Structural Equation Modeling (SEM). The research has benefits in increasing knowledge and information for companies about the importance of brand awareness through increasing influencing factors such as social media marketing and word of mouth. Based on the results of SmartPLS analysis, Interaction, Word-of-Mouth, Social media marketing, Entertainment and Trendiness have insignificant effects on purchase intentions of Smartphones while Customization has significant effects on purchase intentions of Smartphones during.

The purpose of this study is to analyze the effect of green innovation (GI) on environmental performance (EI), the effect of green supply chain management (GSCM) on GI, and finally the effect of GI on environmental performance (EP) in the digital era. The study uses quantitative research methods and descriptive statistics. The sampling technique used is non-probability sampling with the type of purposive sampling. Respondents used in this study were 190 employees of small and medium enterprises (SMEs). Data was obtained by distributing online questionnaires through social media. The analytical technique used in this research is based on descriptive analysis and Structural Equation Model (SEM) using Partial Least Square (PLS). The results of this study indicate that GSCM practices have a significant positive effect on EI, GSCM practices have a significant positive effect on GI, GI has a significant positive effect on EP and, finally, GI mediates the relationship between GSCM and EP.

This study aims to explain the partial and simultaneous effect of green innovation, competitive advantage and empowerment on marketing performance. Quantitative research method is used through data collection from online surveys with a sample of 130 respondents. Green innovation variable with innovation indicators in processes and products, competitive advantage variable with unique product indicators, flexibility, customer relationships and empowerment variables are measured from the dimensions of market development, knowledge and facilities. The marketing performance variable is expressed in three dimensions, namely sales, growth, and market share. The measurement of respondents' answers to the questions in the questionnaire adopts a Likert scale consisting of seven alternative answers. Furthermore, the results of the questionnaire are analyzed using multiple linear regression with the help of the SPSS program. The results of the research indicate that competitive advantage and empowerment have a positive and significant effect on marketing performance, however, green innovation has a negative and insignificant effect on marketing performance. Simultaneously there is a positive and significant effect of green innovation, excellence competitiveness and empowerment on SME marketing performance.