Relationship factors and firms' willingness-to-pay: A comparison of east-west settings

The aim of this study is to examine the underlying mechanism that explains the effects of supplier firms' sustained competitive advantage (SCA) on customer firms' willingness-to-pay a price premium (WTP) across Eastern and Western settings. Drawing upon the relationship marketing (RM) paradigm, we posit that SCA influences WTP via calculative commitment and relationship quality (RQ). A survey involving executives from Australian (n = 336) and Chinese (n = 360) firms was conducted to test the theoretical model. The findings reveal that the effect of SCA on WTP is mediated by RQ and calculative commitment among Chinese firms. Among Australian firms, however, the effect of SCA on WTP is mediated only by RQ and not calculative commitment. The study contributes to the literature by distinguishing the role of ‘rational’ (i.e., calculative commitment) and ‘emotional’ (i.e., affective commitment and RQ) relationship factors in influencing WTP, and by validating a multidimensional RQ model that is applicable to culturally diverse contexts. To marketing practitioners, this research helps to identify the conditions under which RM practices can be effective for B2B firms that operate across diverse cultures.     

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.     

The Interplay of Customer and Product Innovation Dynamics: An Exploratory Study

The challenges of successfully developing radical or really new products have received considerable attention from a variety of marketing, strategic, and organizational perspectives. Previous research has stressed the importance of a market‐driven customer orientation, the resolution of market and technological uncertainty, and organizational processes such as cross‐functional teams and organizational learning. However, several fundamental issues have not been addressed. From a customer's perspective, a more innovative product tends to have uncertain benefits and requires customers to learn new behaviors. Customer preferences can, therefore, change as product experience and learning increase. From a firm's perspective, it is unclear how to be customer‐oriented under such dynamic preferences, and product strategies using evolving technologies will tend to interact with how customers learn about an innovation. This research focuses on identifying unresolved issues about these customer and product innovation dynamics. A conceptual framework and series of propositions are presented that relate both changing technology and customer learning to a firm's strategic decisions in developing and launching really new products. The framework is based on in‐depth interviews with high‐tech product managers across several sectors, focusing on the business‐to‐business context. The propositions resulting from the framework highlight the need to consider relevant customer dynamics as integral to a firm's product innovation process. Successful innovation strategies and future research challenges are discussed, and applications to better understanding customer needs and theories of disruptive innovation are examined. Several key insights for innovation success hinge on a broad, downstream orientation to customer needs and product innovation dynamics. To be effective innovators, firms must know their customers' customers and competitors as well as or better than their immediate customers do. Market research must extend downstream for a comprehensive understanding of customer needs dynamics. In the context of disruptive innovation, new dimensions of customer needs may become more valuable based on perceived downstream customer trends. Firms may also innovate on secondary needs because mainstream customers do not always give firms the design freedom to radically innovate on primary features. Understanding customer commitments and how they develop under evolving needs can help firms focus resources on innovative efforts more likely to be accepted by customers.     

Do business customers perceive what salespeople believe? Perceptions of salesperson adoption of innovations

A salesperson's commitment and effort toward an innovation can determine whether the customer agrees to buy it, such that customers' perceptions of such commitment and effort are critical. But these perceptions also might differ fundamentally from the salesperson's self-perceptions of commitment and effort. Therefore, this paper presents a theoretical framework of the relation between salesperson-perceived and customer-perceived commitment and effort, as exhibited by the salesperson while selling an innovation, which represents salesperson adoption. In the framework, job satisfaction factors also exert contingent, moderating effects. The authors gather unique, dyadic data from surveys of salespeople and their (potential) business customers during visits to sell a conventional, incremental innovation, complemented by objective purchase data gathered from company records. Three key insights emerge fromt this study. First, salespeople's own perceptions of their commitment and effort have only moderate influences on customers' perceptions of salespeople's commitment and effort. Second, customers seem to recognize salesperson effort more readily than salesperson commitment, although salesperson commitment has a higher sales performance impact than salesperson effort. Thus, sales managers should seek to encourage and support both the commitment of salespeople and also perceptions of that commitment among customers. Third, while a higher organizational support or job autonomy strengthens customers' perceptions of salesperson adoption, a higher pay satisfaction diminishes it. Thus, firms might need to find ways to increase the support for the salespeople and their autonomy and to reduce salespeople's satisfaction with their (direct) payments. In total, these findings suggest significant scientific and managerial implications.     

Antecedents and consequences of commitment in marketing research services: The client's perspective

Commitment is one of the most frequently studied variables in business-to-business relationships and several researchers propose it is the main antecedent of customer loyalty. However, while marketing relationships researchers agree on the importance of the construct, differences remain in its conceptualization and operationalization. This study examines commitment from the customer's perspective, consisting of three components: calculative, affective and normative. Relationships were tested between the three dimensions of commitment and social bonds, trust and satisfaction in the context of professional business services providers and their clients. The results of the model that was tested in Central and Eastern European companies show that affective commitment is the only one of the three components that significantly influences customer loyalty. Trust and social bonds have no significant relation either to normative or to calculative commitment while a relation of overall satisfaction with normative and calculative commitment is negative. The theoretical and managerial implications for the model to assist in the development of appropriate strategies to achieve affective commitment and loyalty in business relationships are discussed.     

Customer identification: The missing link between relationship quality and supplier performance

Maintaining good relationship quality (RQ) with customers is crucial for supplier firms to remain competitive. Yet, empirical evidence linking RQ with supplier-firm performance remains inexplicably vague. Drawing on social identity theory and the relationship marketing literature, this study therefore examines the role of customer identification—a customer firm's sense of shared connection with a supplier organization—in bridging the gap between RQ and outcomes beneficial to the supplier firm. A study involving 389 CEOs and directors of Australian firms finds that customer identification mediates the effects of affective RQ-dimensions (i.e., benevolent trust and affective commitment) on customers' willingness-to-pay premium price (WTP) and positive word-of-mouth (WOM) behaviors. Further, the mediating effect of customer identification is moderated by organizational distance and supplier's relationship-specific investments (RSI), such that the indirect effects are stronger when the organizational distance between the supplier and customer firm is low and supplier's RSIs are high. Moreover, while cognitive RQ has direct effects on WTP, its influence on WOM is mediated by customer identification. By identifying the role of customer identification in facilitating the link between RQ and supplier-firm performance, our findings provide valuable insights for supplier firms to optimize their relationship marketing efforts.     

Supporting product innovativeness and customer value at the bottom of the pyramid through context-specific capabilities and social ties

Local firms operating in bottom of the pyramid (BoP) markets face significant challenges in managing their innovation practices and creating value for customers. Operating in resource-constrained environments, local BoP firms need to behave as bricoleurs, deploy capabilities that help creatively combine and leverage their limited available resources to innovate and create value for customers. Employing the capability-based view (CBV) of the firm and social capital theory (SCT), we develop a research model to explain the extent that local BoP manufacturers use bricolage to develop innovative products that create value for BoP customers. Analysis of data obtained from 150 local BoP manufacturing firms (three managers in each firm) and two of their major customer firms shows that the relationship between bricolage and product innovativeness is more complex than previously understood. Results show that the curvilinear relationship is attenuated differently by social ties with government versus ties with civil society organizations. Furthermore, findings also support the contingency role of BoP firms' marketing capabilities in translating product innovativeness into customer value in BoP markets. These findings present specific implications for scholars and practitioners interested in BoP markets.     

Effects of Supplier and Customer Integration on Product Innovation and Performance: Empirical Evidence in Hong Kong Manufacturers

While the beneficial impacts of supplier and customer integration are generally acknowledged, very few empirical research studies have examined how an organization can achieve better product performance through product innovation enhanced by such integration. This paper thus examines the impact of key supplier and customer integration processes (i.e., information sharing and product codevelopment with supplier and customer, respectively) on product innovation as well as their impact on product performance. It contributes to existing literature by asking how such integration activities affect product innovation and performance in both direct and indirect ways. After surveying 251 manufacturers in Hong Kong, this study tested the relationships among information sharing, product codevelopment, product innovativeness, and performance with three control variables (i.e., company size, type of industry, and market certainty). Structural equation modeling with correlation and t‐tests was used to test the hypothesized research model. The findings indicate a direct, positive relationship between supplier and customer integration and product performance. In particular, this study verifies that sharing information with suppliers and product codevelopment with customers directly improves product performance. In addition, this study empirically examines the indirect effects of supplier and customer integration processes on product performance, mediated by innovation. This has seldom been attempted in previous research. The empirical findings show that product codevelopment with suppliers improves performance, mediated by innovation. However, the sampled firms cannot improve their product innovation by sharing information with their current customers and suppliers as well as codeveloping new products with the customers. If the adoption of supplier and customer integration is not cost free, the findings of this study may suggest firms work on particular supplier and customer integration processes (i.e., product codevelopment with suppliers) to improve their product innovation. The study also suggests that companies codevelop new products only with new customers and lead users instead of current ones for product innovation. For managers, this study has demonstrated that both information sharing and product codevelopment affect performance directly and indirectly. Managers should put more emphasis on these key processes, especially when linked with product innovation. Managers should consider involving their suppliers and customers in the early stages of design. Information sharing with suppliers is also important in product development. As suggested by this study, extensive effort on supplier and customer integration should be made to directly augment current product performance and product innovation at the same time.     

Differential Potency of Factors Affecting Innovation Performance in Manufacturing and Services Firms in Australia

Whether or not industrialized nations are experiencing a fundamental shift from a manufacturing- to a service-based economy may be a matter of debate. However, the service sector is clearly growing at an explosive rate, particularly in comparison with manufacturing. With this in mind, we need to better understand how the successful development of new services differs from that of new products. Such understanding requires identifying the critical success factors for new service development (NSD), as well as contrasting them with the factors underlying successful new product development (NPD). Kwaku Atuahene-Gima describes the results of a study comparing the innovation activities of Australian services firms and manufacturers. The study explores managers' perceptions of the factors necessary for successful NSD and NPD. In addition to comparing the differing perceptions of managers of services firms and manufacturers, the study highlights implications of these differences for managers striving for improved NSD. Services and manufacturing firms focus on similar factors for improving innovation performance. However, the relative importance of those factors depends on the type of firm. The critical factor for services—the importance accorded to innovation activity in the firm's human resource strategy—ranks third in importance for manufacturers. Manufacturers focus primarily on product innovation advantage and quality. In contrast, service innovation advantage and quality ranks third in importance for service firms. Surprisingly, technology synergy is found to have a negative effect on new service performance. If a new service is a close fit with a firm's current technologies, competitors will likely be able to quickly imitate the new service. As a result, NSD efforts based on technology synergy will not provide a competitive advantage. Compared to manufacturers, successful service firms must place greater emphasis on the selection, development, and management of employees who work directly with the customer. Through effective self management, these contact personnel shape the quality of the customer relationship. In addition, their close contact and potentially long-term relationships with customers make such employees an important source of new ideas in the firm's NSD process. Such relationships also cast contact personnel in a make-or-break role in the launching of new services.     

New Product Development Structures: The Effect of Customer Overload on Post-Concept Time to Market

In corporate policy statements, seminars, journal articles—even in television commercials—the message comes through loud and clear: To remain competitive, we must do a better job of listening to our customers. Through close contact with customers, designers can more accurately identify market requirements, quickly refine product specifications, and thus reduce time to market. However, too much customer input can create confusion and duplication of effort, which ultimately increases time to market. In other words, some firms run the risk of over-listening to their customers. In a study of three global players in the electronic component industry, Srikant Datar, Clark Jordan, Sunder Kekre, Surendra Rajiv, and Kannan Srinivasan explore the effects of having too much input from customers. Specifically, they examine the relationship between a company's new product development structure and the volume of customer input, which in turn can affect time to market. The high-tech, fast-cycle firms examined in this study employ two distinct new product development structures: concentrated and distributed. A concentrated structure locates all product designers in one facility. This facilitates cross-product learning among designers, but limits designers' contact with customers and process engineers. A distributed structure disperses new product development among numerous manufacturing sites, giving designers close contact with customers and process engineers. However, a distributed structure limits designers' opportunities for cross-product learning. Analysis of 220 new product efforts reveals that the distributed structure offered a time-to-market advantage as long as these firms efficiently managed the level of customer interaction. When designers received input on the product design from no more than 25 customers, the distributed structure provided shorter time to market than the concentrated structure. Beyond the 25-customer level, time-to-market performance of the distributed structure degraded quickly and at an increasing rate. In such cases, more effective management of customer interaction might allow firms employing a distributed structure to enjoy the benefits not only of customer input, but also of improved coordination between product designers and process engineers.     

Strategies for improving new product adoption in uncertain environments: A selective review of the literature

The literature on new product development is replete with studies on new product performance and success. But there is not yet a coherent theoretical framework for understanding strategies for increasing new product adoption in uncertain environments. This conceptual paper reviews the findings about new product performance in the literature and conceptualizes a framework and its related propositions for improving new product adoption. The proposed framework integrates the concept of continuous learning to market orientation to enhance upgrading of capabilities for new product development and extensive communications in uncertain environments. It is also suggested that customer commitment offers a new theoretical insight for improving new product adoption from trust in product-user interface and cooperation with internal and external customers in the new product development process. Furthermore, customer commitment provides a long-term perspective for effective targeting of customers that differentiates low and high commitment customers.     

Measuring Involvement of a Network of Customers in NPD

The new product development (NPD) literature is rife with suggestions to involve customers in the innovation process, and many firms collaborate with customers. But the extant literature does not offer much guidance concerning the nature and quality of involving such a network of customers. This paper contributes to the extant literature on customer involvement by identifying a comprehensive set of metrics to measure the involvement of a network of customers in NPD. It introduces metrics describing three aspects of customer involvement: (1) the rationale for involving a network of customers in NPD, (2) the network of customers involved in NPD, and (3) the interaction process between manufacturer and customers at the level of individual customers. These metrics help to understand the roles of customers, the timing of their involvement at each stage in the development process, the type and number of customers that are involved, as well as the frequency and intensity of their involvement. The use of these metrics is illustrated by a study of customer network involvement by Irish business‐to‐business companies. Forty‐six percent of the sampled firms (n = 1400) were actively involved in NPD, but very few of them involved customers in the early stages (n = 77). The involvement of customers in early NPD stages is significant, although manufacturers tend to go back to the same customers repeatedly. The intensity of customer involvement is also extensive, but even more so during the later NPD stages, especially for new products as opposed to product improvements. By incorporating a network perspective, the proposed metrics for customer network involvement provide a new approach for researchers to study the involvement of customers in NPD.     

The Impact of Customer Involvement on New Product Development: Contingent and Substitutive Effects

More and more companies are actively involving their customers in the new product development (NPD) process. However, there is little consensus regarding the contribution of customer involvement to new product outcomes. A better understanding of this contribution can shed light on whether and when it is worthwhile to involve customers and thus provide firms better guidelines for making such decisions. This study examines the effects of two forms of customer involvement on new product outcomes: the traditional form of customer involvement as an information source (CIS) and the more active form of customer involvement as co‐developers (CIC). The authors offer a better understanding of whether customer involvement can lead to successful innovation by (1) identifying conditions that impact the effects of CIS and CIC on NPD outcomes, (2) contrasting the conditional effects of CIS and CIC to understand how they influence NPD outcomes differently, and (3) examining the potential substitutive relationship between CIS and CIC to understand their joint effects in improving innovation. They find that an experimental NPD approach that emphasizes trial and error learning moderates the relationship between customer involvement and new product outcomes. Specifically, the results reveal contrasting contingent effects of CIS and CIC: CIS is more beneficial for new product outcomes when firms take a more experimental NPD approach, whereas the effect of CIC is stronger when the NPD process is characterized with lower experimentation. CIS and CIC also substitute for each other in their contribution to new product outcomes. These findings suggest that each of the two forms of customer involvement has its unique advantages and is suitable for different conditions. When considering the adoption of CIC, firms should take into account their learning approaches as well as the effectiveness of CIS in the NPD process.     

Can me‐too products prevail? Performance of new product development and sources of idea generation in China – an emerging market

New products developed in emerging markets such as China, India and Brazil are not only sold locally but also ‘exported’ globally, suggesting a changing landscape for global innovation. Existing literature in technology learning and capability accumulation has long held the claim that, for a certain period of time in their development, firms in latecomer countries rely on their counterparts in developed countries to get new product ideas. However, existing research in this area is generally based on case studies and historical analyses; there are few empirical studies exploring the performance consequence of learning from competitors abroad. Using large‐scale, nationwide survey data from China, we explore specifically whether learning about new product ideas from leading firms in foreign countries will lead to higher performance outcomes than other sources (i.e. domestic competitors, customers, universities or internal departments) in an emerging market. Our findings suggest that Chinese firms that source new product ideas from leading firms in foreign countries achieve overwhelmingly superior performance along financial, customer and technological dimensions. Implications to the managers and policy makers are also discussed.     

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.     

How does green innovation affect supplier-customer relationships? A study on customer and relationship contingencies

As the demand for eco-friendly products arises, many suppliers have devoted significant effort to green innovation. Prior studies have investigated how green innovation influences product and firm performance; however, its influence on the relationship between suppliers and organizational buyers (customers) is still unknown. Organizational buyers' receptivity to green products is uncertain as they must adjust their current systems to accommodate the new products. As such, understanding how supplier green innovation effort affects the supplier-customer relationship is essential for green innovation success. Using data collected from 196 B2B customers, we find that the relationship between supplier green innovation effort and relational performance depends on several customer- and relationship-level contingencies. Specifically, green innovation benefits a relationship more if customer participation and relational embeddedness are high, or if customer risk aversion and customer-perceived product criticality are low. This research provides valuable guidance for the effective implementation of green innovation.     

Strategic Value Assessment and Explorative Learning Opportunities with Customers

This study recognizes that collaboration with customers for new product development may bring important financial benefits to firms, but at the same time may seriously hamper explorative learning. Many firms are approached by customers with requests to develop new products for them. While such requests may strengthen customer relationships and result in short‐term financial gains, it may force a firm in technologically undesirable directions. As a result, many firms struggle with the dilemma of, on the one hand, responding to customer requests, and on the other hand, safeguarding the long‐term competitive position of the firm. Firms with strong customer ties are particularly prone to this dilemma. Drawing on opportunity recognition literature, capability monitoring literature as well as goal setting theory, the authors have developed a framework arguing that Strategic Value Assessment (SVA) can help resolve this. SVA is defined as an a priori business evaluation of the value of a particular innovation collaboration, based on anticipated long‐term strategic benefits. It helps innovative firms to focus on collaboration with customers with lead user status and to develop intense relationships, allowing for more effective knowledge transfer and learning. The framework is tested using data collected from a sample of 136 business‐to‐business firms in the Netherlands. The sampling frame was a panel of small and medium‐sized high‐tech enterprises. The study finds positive direct and indirect effects of SVA on explorative learning. In addition, the findings show that the intense collaboration/learning relationship is positively moderated by customer lead user status, and negatively moderated by customer dependence. The findings suggest that SVA is a useful heuristic for managers to utilize opportunities for innovation involving collaboration with customers.     

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.     

A Closer Look at Cross‐functional R&D Cooperation for Innovativeness: Innovation‐oriented Leadership and Human Resource Practices as Driving Forces

Because cross‐functional research and development (R&D) cooperation appears to drive innovation, many firms have invested considerably in it. However, despite substantial efforts to improve information and communication infrastructures or to bring departments in closer proximity with one another, structural investments often fail to produce the desired positive impact on cross‐functional R&D cooperation. This failure may arise because firms undertaking these structural investments do not manage their employees adequately. Extant research acknowledges the importance of motivating and enabling members of the R&D function to cooperate with other functions. Yet empirical studies investigating the relative importance of leadership and different human resource (HR) practices for enhancing cross‐functional R&D cooperation are scarce. Drawing on the resource‐based view and organizational support theory, this study investigates how innovation‐oriented leadership and HR practices might support members of the R&D function and encourage cross‐functional R&D cooperation, which enhances product program innovativeness. Specifically, members of the R&D function who are supported in their innovation efforts through innovation‐oriented leadership and HR practices should reciprocate for the support they receive by intensifying their cross‐functional cooperation to achieve greater product program innovativeness. Relying on multi‐informant data from 125 firms with assessments from marketing and R&D managers, this study shows that innovation‐oriented leadership and HR practices have different effects on cross‐functional R&D cooperation. A structural equation modeling‐based analysis of the hypothesized relationships reveals that innovation‐oriented leadership, rewards, and training and development have considerable positive effects. In contrast, recruitment does not drive cross‐functional R&D cooperation. Because firms usually operate in dynamic markets, and increasingly acquire relevant information from customers when generating innovations, this study also considers market‐related dynamism and customer integration as important contingency factors. For firms facing market‐related dynamism and those relying on customer integration, leadership and training and development are particularly effective for enhancing cross‐functional R&D cooperation. By integrating two theoretical perspectives, this study not only advances knowledge on the antecedents of cross‐functional R&D cooperation, but also helps explain differences in their relative effectiveness. Furthermore, it both adds to the discussion of whether monetary rewards are appropriate means to foster innovation and challenges existing assumptions about the role of recruiting for innovation.     

The relationships among leadership,goal orientation,and service quality in high-contact service industries: An empirical study

High-contact service industries are characterized by close interaction between service employees and customers, and diverse customer needs. Such characteristics pose a great challenge to the delivery of services of superior quality. In this research we conceptually explore and empirically examine several attitudinal and motivational factors of customer-contact employees, and the management style of managers as antecedents to service quality in high-contact service sectors. Based on dyadic data collected from 230 service firms in Hong Kong, we examine the relationships among transformational leadership, transactional leadership, affective organizational commitment, learning goal orientation, performance goal orientation, and service quality. We find that learning goal orientation is more effective than performance goal orientation in fostering service quality in the high-contact service context. We also observe that transformational leadership tends to be more effective than transactional leadership in influencing employee attitude in high-contact service firms. This research pioneers theory-driven examination of service quality in high-contact service firms using data collected from service employees and shop managers for hypothesis testing.