Digital strategies and consumer engagement in fashion livestream commerce: A cross-market analysis

Technological developments are things that must be followed by companies to achieve a competitive advantage to improve performance. To achieve and improve performance, companies need active employee engagement by encouraging motivation and fulfilling their job satisfaction. This study aims to analyze the effect of motivation and job satisfaction on performance with employee engagement as a mediating variable. The research sample is Information Technology (IT) companies located in the cities of Jakarta and Bandung, Indonesia. Research respondents are system developers who handle system development activities for a project or part of an ongoing project. By using the convenience sampling technique 103 responses were obtained from IT developers. The research model analysis method uses Partial Least Square (PLS) with SMART PLS Ver 3.0 software. Empirical findings prove that motivation has a positive effect on the performance of IT employees, while job satisfaction is independent. Employee engagement does not directly affect employee performance, but the effect of mediation through motivation and job satisfaction can have a significant effect on employee performance. The research findings have managerial implications, in increasing high employee involvement, motivation needs to be encouraged to be more active and innovative, and facilitate the achievement of the desired results.

Acknowledgment
This study was made possible because of the full support of the Region III Education Service Institute (LL-DIKTI III), the Ministry of Education and Culture of the Republic of Indonesia, and the Research Center at Mercu Buana University, Jakarta.

The objective of the research was to identify statistically significant differences in selected engagement indicators on Facebook – likes and shares in relation to the different types of content that brands on this platform add to. The analysis was performed on a sample of three global companies from the top 25 most valuable brands in the world and their posts. Using quantitative statistical methods – MANOVA (Multivariate analysis of variance) and Gammes-Howell post hoc test, a total of 1,280 brand posts were analyzed in order to differentiate the liking and sharing of content types. Data collection was carried out in the first half of 2018. The findings pointed to two statistically significant differences that were also interpreted in the discussion of the research. The findings have shown that in case of liking, in two cases out of three, there is a statistically significant difference in terms of the type of content added, when photos came out as those with the greatest potential to get like from Facebook users and fans. At the same time, the same finding appeared in the case of sharing, which is an even stronger form of engagement. Likewise, photos were shown to be the most promising in terms of potential content sharing by Facebook users and fans. The study provided some clues as to where this research should go further and explore the relationship more deeply in view of the more extensive quantitative research, and also the potential qualitative approach. The future research directions include analyzing companies of different types and sizes and also taking into account the contribution from other social networks with the same or similar engagement indicators.

This paper analyzes an emerging form of social media marketing, meme marketing, which has gained attention for its ability to entertain and engage users. Marketers and companies are recognizing the value of using memes as a tool to connect with consumers. To understand the effects of meme marketing activities, this paper aims to examine the impact of meme marketing activities on consumer purchase intentions and concurrently assess the mediating role of consumer engagement. The study encompassed 452 Indian social media users with active social media accounts and familiarity with memes and meme marketing concepts. It employed a quantitative methodology backed by robust statistical techniques. The method used for analysis was Structural Equation Modeling (SEM) through Analysis of Moment Structures (AMOS) software. The results found that meme marketing activities have a direct and significant positive impact (β = 0.257, p < 0.05) on consumer purchase intentions. It further shows that meme marketing has a direct and significant positive impact (β = 0.745, p < 0.05) on consumer engagement. It shows that consumer engagement has a direct and significant positive effect (β = 0.651, p < 0.05) on consumer purchase intention. However, the indirect impact of meme marketing activities on consumer purchase intentions is also significant, resulting in partial mediation. The study findings hold value for marketing managers, agencies, and companies that interact and engage consumers with memes and undertake meme marketing activities.