1. Introduction
As per a new report released by the UN Intergovernmental Panel on Climate Change, human-caused climate change is wreaking havoc on the natural world. Globally, if greenhouse gas emissions are not reduced, the heat and humidity of the planet are expected to test the limits of human tolerance, and China will be one of the regions most affected [
1]. Guangzhou is the most economically vulnerable city in China to sea-level rise. It is estimated that if emissions are left unchecked, Guangzhou will lose USD 331 billion per year by 2050, a figure that will rise to USD 1.4 trillion by 2100. If emissions can be reduced rapidly, this figure could be limited to USD 254 million per year by 2050 [
1]. Continued global warming is seen to further impact China’s economy. High temperatures will cut into labor productivity, especially in agricultural labor. Climate change will hit international supply chains, markets, finance, and trade hard, potentially affecting the normal supply of Chinese domestic commodities, which could lead to an increase in prices while potentially disrupting export markets for Chinese commodities [
2]. The impact of climate change on China and the world economy, such as reduced agricultural production, damage to critical infrastructure, and higher commodity prices, could further destabilize financial markets. Climate change will not only directly affect China but will also impact other countries, which will indirectly but profoundly affect China [
3]. Thus, a response to global climate change should be on the horizon.
Since the pandemic, consumer groups have become more significantly environmentally aware, which will undoubtedly further enhance their willingness to consume green [
4]. Most consumers are willing to buy remanufactured products, but they do not know which ones are green [
5]. There are many factors that contribute to carbon emissions in the world, and it is necessary to give a specific example of non-low-carbon and low-carbon products in our daily life. For example, product packaging is one of the most important factors affecting the environment. Taking beverages as an example, we commonly have bottles of beverages made of glass and polyethylene terephthalate (PET) plastic, and many consumers understand plastic bottles, but not much is known about the carbon footprint of glass bottles. In fact, if produced and used only once, the carbon footprint of glass bottles is noted to be higher compared to that of PET plastic bottles because glass manufacturing requires more resources and is conducted at extremely high temperatures. Moreover, glass bottles are heavier; thus, transporting them causes greater carbon emissions from transportation. Some consumers choose glass bottles for beverages because they “look” more convenient to recycle, but that is not quite true either. The carbon footprint of glass bottles used three times is comparable to that of 0.5 L PET bottles, and if the recycling rate of PET bottles is increased to 60%, glass bottles need to be reused 20 times to bring their carbon footprint down to the same level [
6]. In short, in the case of ensuring recycling technology and recycling efficiency, it is better to buy PET plastic bottles with a large volume and small material area [
7].
In addition, China has announced that corrective actions will be taken in relation to the CO
2 emissions by 2030 and carbon neutrality by 2060 [
8]. Remanufacturing involves the key operational processes in a closed-loop supply chain, such as product acquisition, logistics planning, inspection, and possible part and/or component disposal. There are substantial research studies on operational issues and product improvement and acquisition. All these operational improvement activities require the promotion and cooperation of governments and enterprises, in order to increase individual consumers’ environmental awareness of remanufactured products and cultivate consumers’ green consumption habits. It is necessary to disseminate the correct information about remanufactured products through effective information dissemination channels, to increase consumers’ awareness of environmental protection, cultivate green consumption habits, and eventually image consumers’ purchasing habits. Social media has been recognized as an important information dissemination platform for information acquisition and influencing consumer behavior. In fact, remanufactured products have received low market recognition from consumers. Existing research on the impact of social media online word-of-mouth (WOM) on Chinese consumers’ intention to purchase remanufactured products remains unexplored. Thus, this study used a qualitative approach to investigate the relationship between online and offline WOM and its impact on Chinese consumers’ decision-making process for purchasing remanufactured products. In addition, we assert that this study can also provide a practical understanding of consumer acceptance and awareness of promoting remanufactured products toward sustainability.
3. Methods and Materials
3.1. Research Method
This research was performed using the ELM with source information credibility. Existing research focused on the intention to purchase remanufactured products taking into consideration purchase attitude, subjective norm, and perceived behavioral control [
26]. The relationship of source information credibility and the ELM can also significantly impact the purchase decision of consumers, as shown in previous studies [
28]. In this connection, this research study adopted an exploratory approach to examine a small subset of individuals who have buying experience using both social media influence and WOM before making purchase decisions, representing the broader study population. A content analysis of the interviews with the respondent population was used to explore the practical scenarios of respondents’ purchasing decisions and their environmental awareness of remanufactured products. Further, this research also employed a qualitative research technique by conducting in-depth interviews to build the research subjects’ perspectives with regard to their purchase decision and information dissemination via online and offline WOM. Based on previous research [
31], qualitative research methods are considered appropriate ways of answering “what” and “how” research questions in consumer behavior. Therefore, in the research design, focus group sessions and open-ended questionnaires were used to collect data and develop managerial insights and moral beliefs that can also reshape consumers’ purchase behavior toward remanufactured products and their decision-making process.
The focus group interview method (known as the group interview method) uses a mini-symposium format to decide on a group of consumers or customers with homogeneous characteristics for participation in a study. By gaining direct insights from pertinent issues, the actual thoughts and beliefs of consumers can be captured directly through a free response format. In this study, respondents were asked to list their interest in a particular behavior of purchase decision making [
32]. To gather concise feedback from respondents, an open-ended questionnaire was used in the focus groups.
Participants were informed about the objectives and the purpose of the study. Each participant signed a consent form prior to the start of the interview session. We also provided participants with a definition of remanufactured products to ensure a common understanding of the topics discussed. To facilitate a smooth discussion and obtain satisfactory data, we also developed a semi-structured guide of key questions for the interviews to inform the discussion. Participants were asked if social media online WOM and offline WOM have influenced them in buying remanufactured products. What are the attributes and factors they consider when choosing a remanufactured product? The focus group also included a series of questions. The purpose of these questions was to ask participants to consider positive and negative WOM in terms of purchasing remanufactured products and perceptions of the facilitators or inhibitors that influence the decision of choosing a remanufactured product to purchase. Several questions were asked to ensure adequate consideration by the participants. Follow-up questions were asked for elaboration or clarification when needed [
33]. A researcher led the focus group discussions. The discussion was audio recorded.
At the end of each focus group interview, we took verbatim notes and organized the responses of the college consumers interviewed. A thematic content analysis technique was then employed. Our study adopted the data analysis process of Braun and Clarke (2006), where we first familiarized ourselves with the data by transcribing and reading the qualitative data. The data were initially coded, themes were looked for and aligned, and the codes were arranged into potential themes. Themes were next reviewed to check and confirm that they were consistent with the codes and the entire dataset. Themes were then defined and renamed. Single theme details, as well as the specifics of each theme, were analyzed and refined; each theme was given a clear definition and name, for example, using the roles of online WOM, offline WOM, and credibility of information sources. Finally, the results were presented and discussed.
This study was conducted following the criteria of credibility, dependability, and confirmability, as proposed by Lincoln and Guba (1985) in terms of reliability and validity. Our study examined the extent to which student consumers elaborated on each topic item in the discussion through an open-ended questionnaire and a qualitative thematic analysis research method of focus group discussion. Thematic analysis and interpretation of the study were conducted by independent coders during the interviews to ensure the credibility of the study data. In terms of dependability, our study specifically explains the procedures and processes of data collection and thematic analysis used in this study. Finally, confirmability was achieved by saturating the analysis of qualitative data sources and acknowledging the limited generalizability of the study results.
3.2. Data Collection and Analysis
Our research adopted an exploratory study approach to focus on the importance of social media online WOM and offline WOM and their impact on Chinese consumers’ decision-making process for purchasing remanufactured products. This study conducted in-depth interviews with 30 university student consumers in Guangzhou, China, in February 2022.
Table 1 shows the demographic information of the study sample. This study also used the same interview guide and semi-open-ended questions for all interviewees. This exploratory study examined the factors that influence student consumers’ decision-making process for purchasing remanufactured products.
In terms of data collection, our semi-structured in-depth interviews focused on the factors that influence university student consumers in their decision-making process for purchasing remanufactured products. The respondents were between 19 and 22 years old. There were 21 females (70%) and 9 males (30%), as shown in
Table 1. During the interviews, respondents were asked about the type of information they consume when purchasing remanufactured products, for example, the extent to which they are influenced by social media online WOM and offline WOM, and the extent to which they are influenced by the information source credibility in their decision-making process in terms of purchasing remanufactured products.
A summary of the dialog was written for each interview to understand students’ behaviors as consumer perspectives and motivations and the extent to which their purchase decisions are influenced by social media online WOM and offline WOM. This study used thematic analysis, similar to prior studies [
34]. A different iteration was made between the existing literature and the empirical data to develop themes (codes) for analysis. Some of the codes are emergent, and others are from the literature. There are three codes (one emerged from our study, and the other two were generated from the literature), as shown in
Appendix A. Following the recommendation of Miles and Huberman (2014), we used matrix tables with the different identified themes to facilitate the comparison between the different behaviors of students [
35].
For the study sample, in-depth interviews were conducted to explore the experiences, attitudes, and deep-seated perceptions of 30 Chinese university students in Guangdong regarding online and offline WOM in their decision process for purchasing remanufactured products. For exploratory research, larger sample sizes do not represent greater applicability, and depth may not be adequately analyzed as data attitudes can be sacrificed to breadth [
36]. Therefore, in this study, 30 university students in Guangzhou, Guangdong Province, China, were selected. They were all local to Guangdong Province, ensuring they shared roughly the same cultural and consumption habits. In this case, our in-depth interviews were designed to obtain as much data as possible until the information became repetitive or no longer provided new directions and questions [
26].
4. Results
In this research, a summary was written to understand students’ behaviors and motivations and the extent to which their buying decisions are influenced by WOM (online or offline). This research used thematic analysis. A different iteration has been made by comparing the existing literature and the empirical data to develop themes/codes to be analyzed. Some of the codes are emergent, and others are from the literature. There are three codes (one emerged from our study, and two were from the literature). Following the recommendation of Miles and Huberman (2002), this study used matrix tables with the different identified themes to facilitate the comparison between the different behaviors of students, as shown in
Appendix A and
Appendix B.
Our research found two main findings as follows. First, student consumers rely mainly on social media online WOM in the decision process for purchasing remanufactured products. Offline WOM plays a moderating role in the relationship between social media online WOM and purchase decision. Second, offline WOM indirectly influences purchase decisions for remanufactured products through the mediator of information source credibility.
4.1. The Influence of Online and Offline WOM on Purchase Decisions
As per our findings, both social media online WOM and offline WOM impact student consumers’ purchase decision for remanufactured products. Offline WOM plays a moderating role between online WOM and purchase decisions.
In the dialog, students explained that they use social media online WOM to support their purchase decision, while offline WOM was used to confirm the information received from online WOM. Our interviews indicated that this is the main reason for offline WOM use advocated by almost all the interviewed students. A total of 80% of the student consumers (24 out of 30) reported that they check offline WOM before making a final purchase decision. If the offline WOM is inconsistent with the online WOM, student consumers will re-evaluate their purchase decision. Conversely, if the offline WOM is consistent with the online WOM, student consumers will make the purchase decision. As per a quote from the interview, “I also check offline WOM before making the purchase decision, and if it doesn’t match online WOM, I continue to gather information to re-evaluate my purchase decision. I make a comprehensive analysis of the actual situation before deciding to purchase when I saw offline WOM that was inconsistent with online WOM.I use offline reviews to confirm recommendations from my online network. The likelihood of not buying is much higher if I saw online WOM inconsistence with offline WOM. I also check offline WOM, and if it is consistent with previous online WOM, I stop gathering information and make a purchase decision”.
Student consumers combine online and offline WOM to support their decision-making process for purchasing remanufactured products. In this purchase process, online WOM drives student consumers’ interest in remanufactured products, which in turn positively influences their purchase intentions. However, student consumers also use offline WOM as a secondary confirmation of social media online WOM before executing their purchase decisions. In other words, student consumers use offline WOM to validate online WOM. Offline WOM plays a moderating role between online WOM and purchase decisions. The influence of social media online WOM on the purchase decision is diminished when the social media online WOM is inconsistent with offline WOM. The influence of social media online WOM on the purchase decision is enhanced when the social media online WOM is consistent with offline WOM, i.e., the remanufactured product is likely to be purchased.
4.2. Influence of Information Source Credibility on Purchase Decision
Information source credibility can influence consumers’ decisions to purchase remanufactured products. Student consumers emphasized the significance of information source credibility, as it plays a crucial role in influencing student consumers’ purchase decisions. In fact, 80% of the respondents (24 out of 30 students) indicated that offline WOM communication played a decisive role in their final purchase decision. This is mainly because offline WOM has higher information source credibility. As per a quote from the interview, “I trust offline WOM information from offline acquaintances more because offline acquaintances are more trustworthy, we know each other, and information from them have higher source credibility”. Our results suggest that offline WOM communication from acquaintances indirectly impacts student consumers’ final purchase decisions via information source credibility.
5. Discussion
This study discussed the relationship between social media online WOM and offline WOM and its impact on the decision-making process of student consumers for purchasing remanufactured products.
According to the ELM, when people encounter decision difficulties, they prefer to seek information support from credible sources with strong relationships and high levels of trust [
6]. Our findings are consistent with previous studies as offline WOM was determined to have a more significant effect in influencing consumers’ purchase decisions [
27]. Additionally, we found that offline WOM from acquaintances influences the final purchase decision through the information source credibility. Our data analysis showed that student consumers use offline WOM as a secondary confirmation of social media online WOM. In other words, offline WOM moderates the effect of social media online WOM on purchase decisions. For example, student consumers use offline WOM to validate the gathered information via social media online WOM. However, student consumers tend to use offline WOM to double-validate social media online WOM. When the gathered information via social media online WOM is not consistent with the offline WOM information, the influence of social media online WOM on the purchase decision is generally diminished. Another important observation is that when the gathered information via social media online WOM is consistent with the offline WOM information, the influence of social media online WOM on purchase decisions is enhanced, i.e., likely to purchase a remanufactured product. Therefore, we propose that offline WOM plays a moderating role between social media online WOM and purchase decision. Two important propositions are summarized as follows for future study.
Proposition 1. Offline WOM plays a moderating role in the influence of social media online WOM on purchase decisions.
In addition, prior research showed that information source credibility impacts consumers’ purchase decisions. Consumers are more likely to adopt information provided by people they know and trust [
25]. According to ELM theory, information source credibility is a significant determinant of the persuasive information path [
27]. Consumer-related trust is also a critical element in purchase decisions, as a significant level of trust can reduce consumer perceived risk. Information source trustworthiness has a positive influence on consumers’ purchase intentions [
25].
Therefore, information source credibility is critical to student consumers’ decision making for purchasing remanufactured products. Offline WOM has a strong influence on purchase decisions due to its high information source credibility. This study also showed that social media online WOM and offline WOM directly and/or indirectly influence consumers’ purchase decisions. Information source credibility is an influencing factor for differentiating offline WOM from social media online WOM. For offline WOM communication, the gathered information between sender and receiver is relatively simple, as they usually know each other well and share strong social connections. This makes consumers more likely to adopt offline WOM information, thus influencing their final purchase decision. Therefore, another proposition is suggested to evaluate information source credibility as a mediator.
Proposition 2. Offline WOM indirectly influences consumers’ purchase decisions for remanufactured products through the mediator of information source credibility.
More specifically, this study explained the interaction between social media online and offline WOM and its impact on student consumers’ purchase decision for remanufactured products. The outcome of this study proposes that offline WOM moderates the relationship between social media online WOM and purchase decision for remanufactured products. Offline WOM has been considered an essential source of information in the consumer purchase decision process [
18]. Our study found that social media online WOM is moderated by offline WOM in terms of influencing consumer purchase decisions, thus extending and complementing the existing literature. In addition, previous studies indicated that consumers are more likely to use social media online WOM to reduce risk when making purchase decisions [
24]. An important finding of our study is that student consumers use offline WOM to double-check social media online WOM. When online WOM is inconsistent with offline WOM, the impact of online WOM on purchase decisions is diminished. However, when online WOM is consistent with offline WOM, the influence of online WOM on purchase decisions is enhanced. Therefore, we conclude that offline WOM plays a moderating role in the influence of social media online WOM on purchase decisions.
In addition, this study proposes that offline WOM influences the purchase decision through the mediating variable of information source credibility. This finding complements the previous study by Liao et al. (2019), which stated that offline WOM impacts consumers’ final purchase decisions [
20]. Offline WOM is a person-to-person exchange between two parties. Trust is built on familiarity, and the information conveyed is more likely to influence the purchase decision. Because of the high level of information source credibility, consumers consider offline WOM important in terms of making purchase decisions [
23]. Our findings build on this theory, as offline WOM was determined to have a significant influence on consumers’ final purchase decisions through the mediating variable of information source credibility.
6. Theoretical and Practical Implications
This study explored how social media online WOM and offline WOM communication interact to influence consumers’ purchase decisions on remanufactured products. The result of this study contributes to consumer behavior and ELM theory. Our research also provides insights for remanufacturing enterprises that need to be more active in WOM communication. The ELM model suggests that consumers’ purchase behavior can be influenced by different types of information [
37]. Our study shows that online WOM and offline WOM information interactively affects Chinese student consumers’ purchase decisions for remanufactured products. Student consumers use online WOM to support their remanufactured product purchases. Therefore, remanufacturing enterprises should use local Chinese social WOM communication channels, such as Kuaishou, Bilibili, TikTok, WeChat, and Weibo, for future communication with Chinese student consumers and effectively provide real-time online WOM. More specifically, local Chinese social media platforms, such as Kuaishou, Weibo, and TikTok, could help remanufacturing enterprises attract traffic, spread online WOM about their remanufactured products, and integrate them with offline events. Remanufacturing enterprises could also post long-form, quality articles about remanufactured products and low-carbon green consumption habits, providing authoritative online WOM to target students by establishing semi-private WeChat groups for students and their friends.
Moreover, as noted by the ELM model, information credibility is one of the critical determinants of consumers’ decisions about the usefulness of the information. It has an indirect effect on consumers’ information choices [
38]. Through online and offline WOM management, remanufacturing enterprises could increase student consumers’ understanding of remanufactured products and low-carbon green consumption habits, building trust. Additional approaches include specific actions to trigger student communication, such as social media online platforms and offline veteran student sharing sessions where past and prospective student consumers can share their experiences and advice on remanufactured products. More specifically, enterprises could provide offline sharing sessions with student consumers or host offline expo fairs and other face-to-face activities to meet with remanufacturing enterprise representatives, increasing the trust in information sources. Using a combination of online and offline approaches to achieve publicity and manage online and offline WOM can build remanufacturing enterprises’ reputations in the market.