•This research investigates the new stream in e-commerce.•The research uses SEM-PLS to analysis the proposed model.•The model explains social commerce constructs and its influence on intention to buy ...and trust.
Social commerce is a new development in e-commerce generated by the use of social media to empower customers to interact on the Internet. The recent advancements in ICTs and the emergence of Web 2.0 technologies along with the popularity of social media and social networking sites have seen the development of new social platforms. These platforms facilitate the use of social commerce. Drawing on literature from marketing and information systems (IS) the author proposes a new model to develop our understanding of social commerce using a PLS-SEM methodology to test the model. Results show that Web 2.0 applications are attracting individuals to have interactions as well as generate content on the Internet. Consumers use social commerce constructs for these activities, which in turn increase the level of trust and intention to buy. Implications, limitations, discussion, and future research directions are discussed at the end of the paper.
Empowered by social media, individuals are active content creators in social networking sites. This has brought new changes in business environment, of which social commerce is one of them. Social ...commerce, a new stream in e-commerce, highlights the role of technological advancements to develop a new social commerce era. In social commerce era, individuals share their knowledge, experiences, and information about the products and services with peers, providing a supportive environment in an online context. Drawn from social support theory, relationship quality, and social media concept this research proposes a model to investigate the role of social factors that impact on relationship quality and social commerce intention. A survey conducted on Facebook, a popular social networking site, and PLS-SEM method was applied to empirically test the proposed model. The results offer a valuable picture of social factors that influence relationship quality and social commerce intention. Towards these ends, the study highlights a new picture of consumers' behaviour in social commerce era. It provides a new theory in the area of research — social commerce. Practical implications of the research also highlight new technological changes in e-commerce platform and provide new strategies to firms to adopt these new technological advancements.
•Social factors influence relationship quality and social commerce intention.•The perception of social support in a SNS is positively associated with the user's social commerce intention.•Social interactions produce different values for business.•Theories from both information systems and marketing need to be investigated with a view to application in social media.
Social media have provided new opportunities to consumers to engage in social interaction on the internet. Consumers use social media, such as online communities, to generate content and to network ...with other users. The study of social media can also identify the advantages to be gained by business. A multidisciplinary model, building on the technology acceptance model and relevant literature on trust and social media, has been devised. The model has been validated by SEM-PLS, demonstrating the role of social media in the development of e-commerce into social commerce. The data emerging from a survey show how social media facilitate the social interaction of consumers, leading to increased trust and intention to buy. The results also show that trust has a significant direct effect on intention to buy. The perceived usefulness (PU) of a site is also identified as a contributory factor. At the end of the paper, the author discusses the results, along with implications, limitations and recommended future research directions.
•A theoretical model of value co-creation in sharing economy platforms is empirically tested.•We collected data from n = 342 Generation Y consumers.•Consumer's ethical perceptions foster value ...co-creation intentions at sharing economy platforms.•Social support and consumer's ethical perceptions are multi-dimensional second order constructs.
The ancient phenomenon of ‘sharing’ has become mainstream, and transformed the traditional consumer behavior due to proliferation of online sharing economy platforms. Millions of people participate in popular sharing economy platforms (SEPs) such as Airbnb and Uber. Although sharing economy research has gained interest, yet a holistic model that explains the formation of consumer value co-creation intentions on such platforms remains absent. The purpose of this study is to develop a model of the antecedents of consumers value co-creation intentions at SEPs and evaluate it empirically. Building on social support theory, relationship quality theory, value co-creation and marketing ethics literature, we propose a theoretical model that explains the formation of consumers’ value co-creation intentions. Empirical data was collected from n = 342 Generation Y consumers and analyzed using structural equation modeling (SEM). The results reveal that social support influences ethical perceptions, which further influences value co-creation. Ethical perceptions also influence consumers' trust, satisfaction and commitment with the SEP. However, trust and commitment do not influence value co-creation intentions. Our study contributes to the literature on sharing economy by providing a holistic model of the antecedents of consumers’ value co-creation intentions. We also offer important insights for SEP managers.
Firms have been increasingly using social commerce platforms to engage with customers and support their brand value cocreation. While social commerce is now bringing a variety of benefits to ...business, it has also challenged marketing ethics surrounding online consumer privacy. Drawing on the trust-commitment theory, we develop a model that aims to create an ethical and trustworthy social commerce community for brand value co-creation by examining the impacts of online consumer privacy concerns (namely privacy risk and privacy control) and social interaction constructs (namely consumer-peer interaction and collaborative norms) on consumers' psychological reactions. Using an empirical study, we find that: (1) privacy risk, privacy control, and collaborative norms significantly influence consumers' trust; (2) consumer-peer interaction and collaborative norms are positively related to relationship commitment; and (3) relationship commitment and trust positively affect consumers' brand value co-creation in the context of social commerce. Theoretical and practical implications are discussed.
Consumers’ participation on sharing economy platforms is crucial for the success of the products, services, and companies on those platforms. The participation of consumers enables companies to not ...only exist, but also to create value for consumers. The sharing economy has witnessed enormous growth in recent years and consumers’ concerns regarding the ethics surrounding these platforms have also risen considerably. The vast majority of the previous research on this topic is either conceptual and focused on organizational aspects, or only discusses privacy and security issues, thus providing a very limited scope of discussion. Therefore, drawing on the marketing and business ethics literature, the present study takes into account a multidimensional view of ethical issues surrounding consumers’ participation on sharing economy platforms. Findings reveal that privacy, security, shared value, fulfillment/reliability and service recovery are the strongest determinants of consumers’ ethical perceptions. These aspects strongly predict the consumers’ value co-creation intentions. Consumers’ participation also predicts their intention to engage in co-creating value, but this effect is stronger with the mediating role of the consumer’s ethical perceptions. The theoretical and managerial implications are also discussed.
•This study provides a new understanding of salient consumer risk and benefit beliefs when consumers face new technologies that represent a paradigm shift.•Findings suggest that technology firms need ...to develop new strategic marketing actions constantly.•Increasing an electric vehicle (EV) 's perceived benefits (vendor trustworthiness and expertise) and reducing consumer perceptions of risk is essential.•Beliefs of a manufacturer's expertise and trustworthiness were found to reduce consumer risk concerns.
Consumers who decide to adopt complex, radically innovative products simultaneously can hold very different belief structures that, for example, capture concern for future losses, and beliefs of future gains, as well as the desire to coalesce with referents. This research develops a model of how consumers decide their next electrified vehicle. Based on the Theory of Reasoned Action (TRA) and Risk-Benefit Models, the electric vehicle (EV) purchase decision is modeled as primarily based on beliefs of the perceived benefits and the perceived risks of technology adoption and social influences. Further, beliefs of a manufacturer's expertise and trustworthiness were found to reduce consumer risk concerns and strengthen consumer conviction that the benefits of technology were attainable. Structural equation modeling of survey data confirm the proposed consumer decision model, and our contention that technology adoption can be better understood by specifically exploring discordant consumer beliefs of the post-purchase consequences. The results of our research provide a new understanding of salient consumer risk and benefit beliefs when consumers face new technologies that represent a paradigm shift. Results also provide insight for technology firms that need to constantly develop new strategic marketing actions designed to increase demand for their complex technological products.
With the increasing popularity of social media, a new ethics debate has arisen over marketing and technology in the current digital era. People are using online communities but they have concern ...about information credibility through word of mouth in these platforms. Social media is becoming increasingly influential in shaping individuals' decision-making as more and better quality information about products is made available. In this research, a social word-of-mouth model proposes using a survey to test the model in a popular travel community. The model highlights the role of social media and social support in social networking sites (SNSs), identifying increasing credibility and information usefulness resulting in an ethical environment to adopt word of mouth. The theoretical and practical implications of the study are both detailed.
•Effective use of data interpretation tools and effective use of data analysis tools are forming big data analytics.•They help the firm in new product success.•Big data analytics support the customer ...agility.•New product success needs to have big data.
New product development is s complicated process in marketing. New product success is an important part of new product development. Firms can use big data analytics to track new product success. Therefore, we develop quantitative research to see how big data analytics can help the firms on the new product success process. Using a survey, we collect data from the industry. The results of our PLS analysis show the effective use of data interpretation tools and effective use of data analysis tools are important factors to share customer agility in new product success. Our research has theoretical contributions and practical implications, which we discuss at the end of the paper.
Although big data analytics have tremendous benefits for healthcare organizations, extant research has paid insufficient attention to the exploration of its business value. In order to bridge this ...knowledge gap, this study proposes a big data analytics-enabled business value model in which we use the resource-based theory (RBT) and capability building view to explain how big data analytics capabilities can be developed and what potential benefits can be obtained by these capabilities in the health care industries. Using this model, we investigate 109 case descriptions, covering 63 healthcare organizations to explore the causal relationships between the big data analytics capabilities and business value and the path-to-value chains for big data analytics success. Our findings provide new insights to healthcare practitioners on how to constitute big data analytics capabilities for business transformation and offer an empirical basis that can stimulate a more detailed investigation of big data analytics implementation.
PDF
