Third-party organization endorsement impacts on perceived value and B2B customer loyalty

This research examines how unobservable product quality and information value can be signaled by third-party organization (TPO) endorsement. Furthermore, it explores how TPO endorsement can, in B2B settings, function as an efficient communication tool as well as branding strategy. This study analyzes the following four components: the relationship between expertise and trustworthiness of TPO endorsement, the influence of TPO endorsement on customer firms' perceived value, how perceived value can impact B2B customer loyalty, and how the relationship between TPO endorsement and perceived value is moderated by the parasocial relationship defined as one-sided but enduring relationship between media personae and B2B customers. Collecting data using a survey, the research team gathered a total of 273 usable responses. To examine the hypothesized relationships among variables, researchers applied structural equation modelling. The results show a positive association between the expertise and trustworthiness of a TPO endorsement, and that these characteristics of TPO endorsement positively affect perceived value. A positive association is also found between perceived value and B2B customer loyalty, while the parasocial relationship does moderate the relationship between TPO endorsement and perceived value.     

Corporate reputation and customer behavioral intentions: The roles of trust, identification and commitment

How does corporate reputation influence customer behavioral intentions? This article proposes a model with customer trust, customer identification and customer commitment as the key intervening factors between corporate reputation and customer purchase intention and willingness to pay a price premium. We test the model by using data from 351 customers of three Chinese B2B service firms. Results indicate that corporate reputation has positive influence on both customer trust and customer identification. Customer commitment mediates the relationships between the two relational constructs (customer trust and customer identification) and behavioral intentions. Customer identification and customer commitment relate closely, but they are distinct constructs in the B2B setting.     

The role of customer entertainment in B2B sales strategy: Comparative insights from professional buyers and salespeople

Customer entertainment is any activity considered to provide entertainment, amusement, or recreation. Business-to-business firms, as part of their sales strategy, have entertained customers for decades in hopes of influencing purchasing and building long-term relationships. Using social exchange theory and the element of reciprocity, this study examines how customer entertainment influences buyers' perceptions of gratitude, indebtedness, and purchase intention within their relationship with the B2B seller. In order to assess the importance and strategic role of customer entertainment in building and strengthening buyer-seller relationships, this study investigates customer entertainment throughout the sequential relationship stages of exploration, expansion, and commitment. A multimethod research design was developed comprised of 2 qualitative studies, 3 pretests, and a conclusive experimental field study that compared buyer attitudes with salespeople's perceptions of buyer attitudes. The final study contrasts results between 248 buyers and 245 salespeople and consists of a 3 × 3 experimental field study, with the levels of customer entertainment events and stage of relationship as manipulating variables. The analysis reveals that salespeople and buyers view of reciprocity differs, with salespeople being more socially oriented and focused on gratitude while buyers are more economically oriented and more attuned to indebtedness.     

Does corporate social responsibility matter even in the B2B market?: Effect of B2B CSR on customer trust

This study attempts to understand how Corporate Social Responsibility (CSR) positively influences the quality of business relationship in the business-to-business market. The purpose of this article is to suggest the CSR model in the B2B context. First, this study discerns two dimensions of firms' CSR activities based on the previous studies in B2B area - Business CSR and Altruistic CSR. Furthermore, we tried to investigate the CSR activities affecting the result of the development of business relationships (economic and non-economic factors) and customer trust as a relationship performance in the B2B market. Managerial implications and limitation of the study were also discussed.     

Antecedents and consequences of the quality of e-customer-to-customer interactions in B2B brand communities

The opportunities that interactions in business-to-business (B2B) brand communities offer companies as well as brand community members have already been recognized by B2B firms, but are still an underexplored field of B2B academic marketing research. To provide a first step in analyzing B2B brand communities, we develop a conceptual framework of the quality of customer-to-customer (C2C) interactions in B2B brand communities by drawing on several theories and concepts (e.g., social exchange theory, uses and gratifications approach and value-in-the-experience). Based on an online survey (n = 330) spanning three virtual B2B brand communities in the IT-sector, we test our framework using structural equation modeling. Our results reveal that brand trust has a positive impact on brand community trust. Brand community trust leads to an increase in the quality of C2C interactions in B2B brand communities. Furthermore, we demonstrate that the quality of C2C interactions in B2B brand communities has a positive impact on functional, experiential, and symbolic brand community benefits, which, in turn, foster brand loyalty.     

B2B analytics in the airline market: Harnessing the power of consumer big data

This paper utilizes market-level data to explore the relative performance of individual companies amongst defined competitors. We show the potential of using consumer clickstream data, an important type of big data, to create a new set of B2B analytical frameworks. In the markets where complex interactions between competitors, search intermediaries and consumers create a network, B2B relationships can be inferred from consumer search patterns, and can then be modeled to gauge the online performance. A commercial dataset from ComScore’s US panel of one million users is used to illustrate a new approach to measure and evaluate the online performance of competitors in the US airline market. The methodology and associated performance framework demonstrate the potential for new forms of market intelligence based on the visualization of market networks, online performance calculated from matrix algorithms, the measurement of the impact of search intermediaries, and the identification of latent relationships. This research makes theoretical and empirical contributions to the debate on the use of big data for B2B market analytics. B2B managers can use this approach to extend their network horizon from an egocentric to a network view of competition and map out their competitive landscape from the perspective of the customer.     

Sharing is the name of the game: Exploring the role of social media communication practices on B2B customer relationships in the life sciences industry

The inclusion of social media as a communication channel in a vendor's B2B digital marketing strategy is growing in importance. Understanding the effect of such practices upon customer relationships is crucial for firms as they increasingly engage in this way. This paper presents and tests a model that explores the effect of vendor social media communication practices upon trust and loyalty in B2B customer relationships. A study using quantitative data from 196 business customers of a United States life sciences firm is reported. The model indicates that trust and loyalty are influenced by a) the social media shared beliefs between the vendor and the customer; b) the nature of the vendor's social media communication with the customer; and c) the extent to which the vendor's social media communication practices enable effective customer-to-customer communication. Trust is found to have a mediating role between these indicators and loyalty. Managerial implications are discussed.     

The B2B-RELPERF scale and scorecard: Bringing relationship marketing theory into business-to-business practice

It is becoming increasingly important from both theoretical and managerial perspectives to measure Customer Relationship Management (CRM) as a key intangible asset. This paper seeks to bring relationship marketing theory into practice by developing a new measure of relationship performance between two firms, the business-to-business relationship performance (B2B-RELPERF) scale. Survey findings from a sample of approximately 400 purchasing managers operating in a B2B e-marketplace reveal that relationship performance is a high-order concept, composed of several distinct, yet related, dimensions: (1) relationship policies and practices, (2) relationship commitment; (3) trust in the relationship, (4) mutual cooperation; and (5) relationship satisfaction. Findings reveal that the B2B-RELPERF scale relates positively and significantly with customer loyalty. The paper also presents the B2B-RELPERF balanced scorecard, which combines tangible and intangible metrics. While existing IT solutions usually focus exclusively on the use of tangible CRM indicators, this new tool includes the “voice of the customer”. At the managerial level, both the scale and scorecard could act as useful instruments for short- and long-term management, controlling, planning, and improvement of B2B relationships. Implications for relationship marketing theory are also presented.     

Social media: Influencing customer satisfaction in B2B sales

Social media have changed how buyers and sellers interact, and increased involvement through social media may yield positive results for sales organizations if salespeople utilize it in facilitating their behaviors. Through the perspective of value creation, we test the mediating effects of salesperson information communication behaviors between social media use and customer satisfaction. Using salesperson-reported data, within a B2B context, we empirically test a model using structural equation modeling. Salesperson's use of social media is found to impact information communication behaviors, which enhance salesperson responsiveness and customer satisfaction. Also, salesperson responsiveness is found to have a positive relationship with customer satisfaction. Findings suggest that social media plays an important role in communicating information to customers, but as an antecedent enhancing salesperson behaviors to increase customer satisfaction rather than a direct factor. This encourages managers to carefully assess goals related to social media use of their sales force.     

B2B relationships on the fast track: An empirical investigation into the outcomes of solution provision

In academic and business literature, suppliers providing solutions to their business-to-business (B2B) customers are often described as achieving increased customer retention, higher sales volumes, and enhanced cross-selling. Yet there is limited empirical evidence to support the positive impact of solutions on these customer-related outcomes. Moreover, it is unclear whether suppliers obtain similar outcomes from buyers at different relationship life-cycle stages. This paper aims to address these two gaps and tests the contingency role of the relationship life-cycle in driving future customer outcomes. It proposes that there is a positive effect for solutions provided to recent customers (labeled as “accelerator” role) rather than to established ones (labeled as “leverage” role). Results from a longitudinal analysis of the sales database of a North American company providing solutions to its customers empirically support the “accelerator” role of solutions.     

Industrial brand value and relationship performance in business markets — A general structural equation model

This paper develops a general model of industrial brand value and relationship performance in business-to-business markets from the perspectives of consumer and industrial marketing literature. The structural equation model integrates the analysis of industrial brand value and relationship performance. The model describes the extent to which supplier-buyer transaction performance is influenced by the eight important factors: supplier competence, purchasing value, customer satisfaction, switching cost, brand trust and loyalty, relationship quality, commitment, and transactional performance.The general model is applied to organizational buyer groups of comprehensive industrial markets (Electronics, Chemicals, Equipment, etc). The analysis finds that supplier competence directly affects purchasing value and customer satisfaction, and via purchasing value and customer satisfaction, it indirectly affects commitment, switching cost, brand trust and loyalty. The managerial implications of the study results are also discussed.     

How does customer orientation (in)congruence affect B2B electronic commerce platform firms' performance?

Business-to-business (B2B) electronic platforms have become important channels for transforming traditional modes of transaction. The success of these platforms relies heavily on the platform firms' customer orientation (CO) practices, which are designed to attract both sellers and buyers. This study draws on the cross network effect theory to explore whether and how a B2B e-commerce platform firm's (in)congruent CO strategic initiatives toward sellers or buyers affect the firm's performance. In addition, the moderating effects of seller-side and buyer-side demand uncertainty on the relationship between CO (in)congruence and platform firm performance are investigated. The analysis of data collected from 185 B2B electronic platform firms in China reveals that CO incongruence is more beneficial to firm performance than CO congruence. Furthermore, when seller-side demand uncertainty is high, an increase in seller-focused CO incongruence (i.e., higher seller orientation than buyer orientation) or buyer-focused CO incongruence (i.e., lower seller orientation than buyer orientation) improves or impedes a B2B e-commerce platform firm's performance, respectively. However, when buyer-side demand uncertainty is high, an increase in either type of CO incongruence does not improve firm performance. These findings contribute to the literature on and practices of B2B e-commerce and customer orientation.     

What impacts customer experience for B2B enterprises on using AI-enabled chatbots? Insights from Big data analytics

Many B2B firms have widely accepted AI-based chatbots to provide human-like service interaction at different customer touchpoints in recent years. One of the objectives behind introducing this technology is to provide an enhanced, live channel Customer Experience (CX) all round the clock. Researchers have focused on delivering the CX by improvising the chatbot's internal algorithm, giving limited attention to CX theories from management literature, which leaves a gap. With the proposed paper, we have investigated the influencing factors of AI-based chatbots from the lens of CX theories for B2B firms. In this paper, a model for organizing CX has been proposed using the diffusion of innovation theory, trust commitment theory, information systems success model, and Hoffman & Novak's flow model for the computer-mediated environment and verified using the social media data. The methodology used for this study is the social media analytics-based content analysis method (sentiment analysis, hierarchical clustering, topic modeling) for data preparation, followed by lasso and ridge regression for model verification. The results suggest that CX in B2B enterprises using chatbots is influenced by these bots' overall system design, customers' ability to use technology, and customer trust towards brand and system.     

Product and relationship quality influence on customer commitment and loyalty in B2B manufacturing relationships

The article examines how product and relationship quality influence customer commitment along with their combined effect on customer loyalty. The results show that product quality influences positive and negative calculative commitment. With regard to relationship quality, its “social” dimensions such as cooperation and trust have a much greater influence on commitment than its “technical” dimensions such as knowledge transfers and adaptation. On the “social” side, cooperation and trust positively influence affective and normative commitment, with trust also positively affecting positive calculative commitment, while on the “technical” side the only significant link is between adaptation and normative commitment. As for the consequences of commitment, affective commitment positively influences attitudinal and behavioral loyalty, while negative calculative commitment positively influences behavioral loyalty. In addition to indirect effects, product quality also directly positively influences attitudinal and behavioral loyalty. The results imply that customer loyalty depends more on “emotional” (affective commitment) than on “rational” (negative calculative commitment and product quality) motivation to continue the relationship.     

企业家代言人的慈善行为对消费者的作用机制研究

本文从信源的角度对企业家代言人的慈善行为如何影响消费者对其代言产品的购买意向进行了实证研究。研究发现,企业家代言人的慈善行为显著影响消费者的购买意向。即:道德身份自我重要性高的消费者更倾向购买捐时间的企业家所代言的产品,因为捐时间的慈善行为让消费者感知其更有亲和力;道德身份自我重要性低的消费者更倾向购买捐钱的企业家所代言的产品,因为捐钱的慈善行为让消费者感知其有能力。本研究是对营销沟通理论的有益补充,我们探究了企业家代言人的不同类型慈善行为(捐时间和捐钱)产生作用的具体情景。该研究结论为营销实践提供了直接的指导,企业家代言人通过其慈善行为提升消费者信任度时需根据消费者的特点来选择其慈善的类型。     

Customer involvement in big data analytics and its impact on B2B innovation

Extant literature assumes that customers mainly serve as passive data providers and that firms take responsibility for big data analytics. In line with a current trend in real-world practice, this research, based on the open innovation literature, challenges this assumption and argues that customers can have more engagement in big data analytics. The authors distinguish two constructs: Customer as Data Provider (CDP) and Customer as Data Analyst (CDA). The former is consistent with the mainstream view that customers serve as the data source. The latter, on the other hand, sheds light on an active role customers play in big data analytics – that is, customers participate in a co-creation process where they acquire, analyze and act on big data. Using survey data of 148 Business-to-Business (B2B) innovation projects, the authors find that both types of customer involvement facilitate B2B product innovation. Furthermore, the authors examine moderation effects of customer need tacitness and customer need diversity. Results show that customer need tacitness negatively moderates the relationship between CDP and new product performance while customer need diversity yields a positive moderation effect. Customer need tacitness is also found to positively moderate the relationship between CDA and new product performance.     

Creating trust and commitment in B2B services

In an ever-changing environment, business relationships are becoming increasingly complex. This particularly applies to the business-to-business (B2B) service sector due to its intangible nature. The combination of personal and organizational relationships further increases this complexity. However, trust can reduce uncertainty and complexity and help maintain commitment. Based on structural equation modeling and a sample of 1692 participants, this study provides insights into the drivers of trust in organizations and salespersons and their impact on commitment. The results show that both are important, but trust in a salesperson far surpasses the effect of trust in an organization. Furthermore, reputation and service quality influence trust in an organization, while social skills and low selling orientation affect trust in a salesperson. In summary, to the best of our knowledge, our study is the first to provide a comprehensive trust model in the B2B service market, and it might serve as a guide for future research.     

True vendor loyalty or simply repeat purchase behavior?

Local customers—usually defined as those who tend to concentrate their purchases within one or a limited number of brands or stores—have long been of major interest to marketing practitioners and academicians. In organizational purchasing literature, however, little attention has been focused on this important dimension of buyer behavior. The purpose of this article is to underscore the importance of the loyal customer, to distinguish between simple repeat purchasing and true loyalty, and to examine the reasons for such consistent purchase behavior.     

Harnessing marketing automation for B2B content marketing

The growing importance of the Internet to B2B customer purchasing decisions has motivated B2B sellers to create digital content that leads potential buyers to interact with their company. This trend has engendered a new paradigm referred to as ‘content marketing.’ This study investigates the organizational processes for developing valuable and timely content to meet customer needs and for integrating content marketing with B2B selling processes. The results of this single case study demonstrate the use of marketing automation to generate high-quality sales leads through behavioral targeting and content personalization. The study advances understanding of the organizational processes that support content marketing and shows how content marketing can be combined with B2B selling processes via marketing automation in ways that achieve business benefits.     

Can cooperation drive the success of suppliers in B2B crowdsourcing innovation projects? A large scale data perspective

Crowdsourcing innovation projects (CIPs), that enterprises outsource the non-core projects to outside individuals or organizations for innovation, are critical forms for business to business (B2B) innovative service collaboration. Based on value network theory, this paper investigates whether cooperation is a critical influencer of supplier performance and examines how suppliers in CIPs can achieve and maximize value capturing under the customer value dominant condition. Large-scale data is collected from >110,000 CIPs suppliers from 2010 to August 2018 on Kaggle, one of the most well-known crowdsourcing platforms. According to econometric calculation results: 1) Suppliers' predominant capabilities and resources contribute to their workforce and financial performance improvement. 2) Excessive competition intensity has a negative impact on suppliers' performance. 3) The cooperation between suppliers is extremely important for their performance. More detailed, the accumulation of cooperation experience, the increase of partners and the heterogeneity of members in the organization have positive impact on suppliers' workforce and financial performance. The results demonstrate that for suppliers in the CIPs platform, cooperative is more optimal than competitive. The cooperation is more significant when the needs of customers are gaining more and more attention. Therefore, suppliers should explore a more flexible way of cooperation to achieve value capture. Subsequently the value balance between demanders and suppliers can be achieved.