This study was, therefore, set to achieve the following objective: to explore the impact of social media on consumers’ buying decisions. The current research was conducted on online consumers through luxury perfume brands' websites. The phenomenon of online sales has recently spread in Saudi Arabia, where the authorized number of those stores reached 1,800 sites at the end of 2021. The target population was online purchasing consumers from luxury perfume sellers. The appropriate sample size in unlimited populations is 385 responses. The research hypotheses were tested using the SEM (Structural Equation Modeling) method, which allows for the evaluation of the degree of dependence of consumers buying decisions on social media marketing. The results of the study demonstrated that social media marketing influences the consumer purchasing decision process. The outcome can be credited to the effectiveness of marketing efforts in the chosen retail via social media.

Most of the organizations today look forward to streamlining their business with the rapid needs of the society. However, they do not consider the holistic view of various digital driving factors. The paper aimed to develop a structural framework using the enablers of Digital Transformation (DT) by applying qualitative and rational approaches to develop a conceptual model of DT adoption for various industries. The assimilated approach of Delphi and Interpretive Structural Modelling demonstrated the qualitative data-driven theoretical structure by identifying fourteen enablers of DT and developed a logical model in nine levels. The driving and dependency powers of each enabler were portrayed in MIC MAC analysis. The government regulation and market pressure found as key drivers with strong driving and low dependency powers occupying the lowest level which influences customer demand, behavior and expectations and process, performance improvement of the business. The model demonstrates a deep understanding of global firms to leverage various dimensions while taking transformation decisions in their business process and gain a competitive edge. Further, any organization that looks for adopting digital transformation can consider these factors or models in deciding the implementation process. It recommends researchers to validate the model or may prioritize the factors and sub-factors for multi-criterion based decision making process for unique findings.

This paper investigates the impact of social media marketing on brand image and brand trust toward the purchase intention of Indonesian Male’s Skincare. The study proposes a model that shows the effect of skincare marketing strategies through social media for male millennials generations. A quantitative approach is used to collect the data to support the model using online surveys. The data samples are collected from 203 male respondents using non-probability sampling techniques with convenience sampling method. The results are analysed with PLS-SEM methodologies by Smart-PLS, considered to be applied when the research is exploratory. The research result shows that social media marketing had a significant impact on brand image and brand trust. Moreover, brand trust and brand image had significant im-pacts on purchase intention. With brand image and brand trust 56.1 percent explained the purchase intention, 53.6 percent social media marketing explained the brand image, and 65.4 percent of the social media marketing explained the brand trust as well.

Sentiment analysis, a key component of natural language processing and data mining, plays a pivotal role in extracting subjective insights from textual data, particularly on social media platforms. In response to the growing importance of digital engagement, understanding public sentiment has become essential for formulating effective marketing strategies. This study aims to enhance the marketing strategy of energy products in subsidiaries of State-Owned Enterprises (SOEs) by employing a hybrid sentiment analysis model that integrates the Valence Aware Dictionary and Sentiment Reasoner (VADER) with Long Short-Term Memory (LSTM) neural networks. Utilizing a mixed-method approach that combines both quantitative and qualitative analyses, the study collects and processes data from multiple social media sources to identify and classify consumer sentiment. The results demonstrate that the hybrid VADER-LSTM model achieves an accuracy rate of up to 84%, enabling a more nuanced interpretation of consumer opinions. These insights inform the development of data-driven, responsive, and targeted marketing strategies. Furthermore, the study highlights the significance of fostering interactive communication between companies and consumers to enhance the impact of digital marketing efforts. Theoretical implications include a contribution to the academic discourse on information systems and digital marketing, while practical outcomes offer valuable guidance for SOEs in adopting adaptive, sentiment-informed marketing approaches within the energy sector.

This study investigates the influence of social media marketing content features on consumers' purchase decisions of ready-to-consume healthy food and beverage products. Specifically, it examines the roles of interactivity, informativeness, entertainment, and perceived relevance in shaping brand trust, which in turn affects purchase behavior. Data were collected via an online survey of 241 consumers aged 18–45 residing in Greater Jakarta who engage with related social media content. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the results reveal that informativeness, entertainment, and perceived relevance significantly enhance brand trust. However, interactivity does not have a significant effect. Brand trust is shown to have a strong and positive influence on purchase decisions. These findings highlight the importance of delivering informative, relevant, and engaging content in building consumer trust and encouraging purchase behavior within the healthy food and beverage sector.

This study explores the impact of TikTok marketing activities in stimulating consumer purchasing intention with trust and reliability during live streaming sessions for Muslim apparel. While there is a growing interest in shopping through live streaming, little study has been done regarding Islamic marketing. To achieve the purpose of the study, a convenience sampling method was adopted to collect data from 225 participants for assessing the effects of TikTok marketing activities on consumer behaviour. The findings suggest that most of the TikTok marketing activities enhance trust and credibility, hence influencing positive intentions to buy among consumers while attending a live stream. The insights also apply to three broader fields of Islamic marketing, consumer behaviour, and sustainable marketing, while again supporting the United Nations SDGs specifically Goal 12: Responsible Consumption and Production. This paper therefore advocates for more sustainable consumption patterns and responsible marketing practices, as it gives confidence and trust in online shopping for ethical consumption of goods in digital commerce. Beyond this, the study highlights how social commerce can be instrumental for the realization of economic growth (Goal 8), innovation within marketing practices, and inclusive and sustainable economic participation via digital platforms.

The objective of this study is to examine the mediating effect of sustainable performance in the relationship between digital marketing tactics and market volatility at an effective level in the Jordanian market. This research uses the Triple Bottom Line (TBL) Theory and the Resource-Based View (RBV) theories to examine the impact of market volatility on sustainability performance, with a focus placed on mediating the effects of digital marketing provided online. Empirical data in the form of field study and statistical analysis to evaluate the relationships between digital marketing tactics, the performance that is sustainable as well volatility within the market through the business were gathered. The findings showed that there is a significant mediating effect of sustainable performance on the relationship between digital marketing strategies and market volatility. The research provides insights into how firms can achieve greater agility and sustainability by rethinking their marketing mix in a volatile market. These findings suggest that the volatile markets should be based on the principle of sustainable performance when planning international digital marketing activities in order to cope with market volatility and competitive advantage.

This study examines the factors influencing Muslim consumers' purchase intentions for Muslim apparel products through TikTok live streaming. Data were collected in Jakarta, with 225 participants selected using convenient sampling. The collected data underwent analysis using exploratory factor analysis, confirmatory factor analysis, and structural equation modelling. The results revealed several key findings. Firstly, the hypothesis that TikTok marketing activities significantly influence perceived innovativeness was supported. Additionally, it was found that TikTok marketing activities significantly affect perceived enjoyment. However, the hypothesis that perceived innovativeness significantly impacts purchase intention was rejected. Furthermore, it was established that perceived innovativeness significantly influences perceived enjoyment, and perceived enjoyment significantly affects purchase intention. These findings contribute to expanding knowledge in social commerce, particularly in understanding the dynamics of consumer behavior within the context of Muslim apparel products marketed through TikTok live streaming. The acceptance of hypotheses regarding the influence of TikTok marketing activities on perceived innovativeness and enjoyment underscores the importance of social media marketing strategies in shaping consumer perceptions and experiences. However, rejecting the hypothesis concerning the direct impact of perceived innovativeness on purchase intention suggests that other factors may mediate this relationship, warranting further investigation.

The aim of this research is to empirically test a new marketing model from a digital marketing perspective based on social media marketing, which is a crucial factor for consumers in the digital era when making decisions (especially tourists) to visit the Togean Islands marine tourism destination in Tojo Una-Una Regency. Social media marketing comprises three dimensions known as 4C: context, communication, collaboration, and connection. This type of research employs exploratory or confirmatory research methods. The data analysis method utilizes the PLS-SEM version 4 approach, and the research sample consists of 160 respondents, including both foreign tourists and Indonesian tourists. The research results indicate that the communication dimension has the highest loading factor value of 0.813, followed by collaboration with 0.770, connection with 0.745, and context with 0.703. Furthermore, the path coefficient value for the collaboration dimension is the highest compared to the other three dimensions, at 0.813. These findings imply that decision-makers can derive meaningful insights for redesigning new marketing models in the tourism sector amidst the digitalization era.

Social commerce is an effective instrument for enterprises aiming to expand their customer base and enhance revenues. By mastering the implementation of social media platforms (SMPs) and surmounting the accompanying hurdles, brands may achieve significant achievements in social commerce. The article investigates the impact of social commerce information sharing (SCIN) on purchase intention and perceived risk in Turkey. This examines the influence of SCIN on customer relationship quality (CRQ) dimensions, including brand trust, commitment, and satisfaction. The study precisely intends to investigate the mediating of CRQ dimensions in the relationship between SCIN and purchase intention. The study also examines the mediator role of perceived risk in the relationship between SCIN and purchase intention. Also, the study examines how online reviews moderate the relationship between SCIN and customer outcomes such as purchase intention and perceived risk. The current study employs a sample of 314 participants from Turkey to explore the relationship between SCIN, brand trust, commitment, satisfaction, purchase intention, and perceived risk. The proposed conceptual model is tested using the Structural Equation Modeling-AMOS statistical approach. The results show that SCIN strongly predicts perceived risk, purchase intention, and CRQ dimensions, such as brand trust, commitment, and satisfaction. Furthermore, the study reveals that perceived risk does not directly mediate the relationship between SCIN and purchase intention. Instead, it confirms that purchase intention is a significant consequence of CRQ dimensions and perceived risk. The results also indicate that online reviews do not moderate the relationship between SCIN and customer outcomes, such as perceived risk and purchase intention. In summary, this study underscores the pivotal role of SCIN in influencing the decision-making process of Turkish customers, particularly in the context of making purchases. The findings carry significant practical implications for marketers of SMPs aiming to influence Turkish consumers, providing valuable insights to enhance their strategy in the Turkish market.