Fostering B2B sales with customer big data analytics

This study focuses on the use of big data analytics in managing B2B customer relationships and examines the effects of big data analytics on customer relationship performance and sales growth using a multi-industry dataset from 417 B2B firms. The study also examines whether analytics culture within a firm moderates these effects. The study finds that the use of customer big data significantly fosters sales growth (i.e. monetary performance outcomes) and enhances the customer relationship performance (non-monetary performance outcomes). However, the latter effect is stronger for firms which have an analytics culture which supports marketing analytics, whereas the former effect remains unchanged regardless of the analytics culture. The study empirically confirms that customer big data analytics improves customer relationship performance and sales growth in B2B firms.     

Building competences for new customer value creation: An exploratory study

Recent marketing literature suggests companies to become market driving (proactive business logic, changing the rules of the market) instead of market driven (reactive business logic, customer-led). This transformation implies that companies are able to boost their capacity to create new customer value. Based on survey data of business-to-business markets, we advance a tentative model that links competence development to new customer value creation. Although exploratory in its nature, our study exhibits that companies should build three types of competences: marketing practices for external knowledge absorption, general organizational competences and supply chain/network competences. Using cluster analysis, we are able to further link these competences to the capacity of new value creation. Four clusters are detected with different degrees of expertise in new value creation and each displaying their own profile of competences. Becoming market driving requires an integrated and balanced view on marketing practices.     

Real-time big data processing for instantaneous marketing decisions: A problematization approach

The collection of big data from different sources such as the internet of things, social media and search engines has created significant opportunities for business-to-business (B2B) industrial marketing organizations to take an analytical view in developing programmatic marketing approaches for online display advertising. Cleansing, processing and analyzing of such large datasets create challenges for marketing organizations — particularly for real-time decision making and comparative implications. Importantly, there is limited research for such interplays. By utilizing a problematization approach, this paper contributes through the exploration of links between big data, programmatic marketing and real-time processing and relevant decision making for B2B industrial marketing organizations that depend on big data-driven marketing or big data-savvy managers. This exploration subsequently encompasses appropriate big data sources and effective batch and real-time processing linked with structured and unstructured datasets that influence relative processing techniques. Consequently, along with directions for future research, the paper develops interdisciplinary dialogues that overlay computer-engineering frameworks such as Apache Storm and Hadoop within B2B marketing viewpoints and their implications for contemporary marketing practices.     

Product radicalness and firm performance in B2B marketing: A moderated mediation model

There has been ambiguity and controversy in establishing the links between the introduction of radical innovations and firm performance. While radical innovations create customer value and grow product sales, they are also fraught with uncertainty due to customer resistance to innovative products and significant costs associated with commercialization. This research aims to explain the contrarian findings between radical innovations and firm performance in a business-to-business (B2B) context by examining two mediating variables – new product advantage and customer unfamiliarity. Using a multi-informant approach, the authors collected survey data from a sample of 170 Spanish B2B firms engaged in new product development, provided by 357 managers. The authors find that, while new product advantage positively mediates the relationship between product radicalness and firm performance, customer unfamiliarity has a negative mediation effect on this relationship. Furthermore, the authors examine the moderated mediation effect by industry type, manufacturing vs. service, and find that it moderates the mediation of customer unfamiliarity: The negative impact of product radicalness on customer unfamiliarity is greater for manufacturing firms than for service firms. With these findings, the authors discuss implications for development and marketing of radical innovations and how those implications facilitate firm performance in the B2B context.     

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.     

Leveraging stakeholder networks with outside-in marketing

The theory of Outside-in marketing (OIM) emphasizes the importance of internal and external partners of a firm to drive strategies for value creation. OIM is based on four key tenets: market sensing and responses, segmentation and targeting, innovation, and employee's learning effort. With this commentary, we apply the theory of OIM to network analysis. By doing so, we identify key stakeholder networks as part of a firm's business ecosystem and discuss the value that can be extracted from different stakeholder networks. Most prior network research in marketing has mainly used customer or employee network data while neglecting other important stakeholder groups. We provide information about how network analysis of stakeholder data can fill gaps in the marketing literature and provide firms with essential knowledge, economic value, and influence over external partners, and improve the value generation process. We first describe each tenet and give examples of stakeholder networks that can be investigated within the realm of the tenet definitions. We then discuss different challenges that social network research can pose, and end with future research questions that can be explored for empirical research studies.     

Value co-creation in industrial AI: The interactive role of B2B supplier,customer and technology provider

This research explores the interactive role of supplier, customer and technology company in business-to-business (B2B) marketing when they develop and use industrial artificial intelligence (AI). From a value co-creation perspective and following a service-dominant logic, this study aims to identify essential value types that are created collaboratively by B2B professionals (namely suppliers, customers and AI providers), and critical capabilities that contribute to their value co-creation practices. Nineteen in-depth semi-structured interviews were conducted with three groups of B2B stakeholders in six companies that involved in an industrial AI development and usage project. The data was then analysed using a thematic analysis approach. The results of this research contain a categorisation of four value types and three sets of capabilities, together with the interrelationships between them. This study contributes to the literature of value co-creation, information system and B2B marketing by bridging these three disciplines within the context of industrial AI development and usage.     

Using artificial intelligence to detect crisis related to events: Decision making in B2B by artificial intelligence

Artificial Intelligence (AI) could be an important foundation of competitive advantage in the market for firms. As such, firms use AI to achieve deep market engagement when the firm's data are employed to make informed decisions. This study examines the role of computer-mediated AI agents in detecting crises related to events in a firm. A crisis threatens organizational performance; therefore, a data-driven strategy will result in an efficient and timely reflection, which increases the success of crisis management. The study extends the situational crisis communication theory (SCCT) and Attribution theory frameworks built on big data and machine learning capabilities for early detection of crises in the market. This research proposes a structural model composed of a statistical and sentimental big data analytics approach. The findings of our empirical research suggest that knowledge extracted from day-to-day data communications such as email communications of a firm can lead to the sensing of critical events related to business activities. To test our model, we use a publicly available dataset containing 517,401 items belonging to 150 users, mostly senior managers of Enron during 1999 through the 2001 crisis. The findings suggest that the model is plausible in the early detection of Enron's critical events, which can support decision making in the market.     

The Value of Customer Cocreated Knowledge during the Innovation Process

Customer cocreation during the innovation process has recently been suggested to be a major source for firms' competitive advantage. Hereby, customers actively engage in a firm's innovation process and take over innovation activities traditionally performed by a firm's employees. Despite its suggested importance, previous research has revealed contradictory findings regarding its impact, the nature of involved customers, and the channels of communication that enable cocreation. To provide a more fine‐grained picture, customer cocreated knowledge is first delineated into its key value dimensions of relevance, novelty, and costs, and then their impact on various innovation outcomes is investigated. Next, the study examines the antecedent role of customer determinants; that is, lead user characteristics and customer–firm closeness, on these knowledge value dimensions. Finally, we explore how these effects are moderated by the type of communication channel used. An empirical validation of the conceptual model is performed by means of survey data from 126 customer cocreation projects. The data analysis indicates that customer cocreation is most successful for the creation of highly relevant but moderately novel knowledge. Cocreation with customers who are closely related to the innovating firm results in more highly relevant knowledge at a low cost. Yet, cocreation with lead users produces novel and relevant knowledge. These effects are contingent on the richness and reach of the communication channels enabling cocreation. Overall, the findings shed light on opportunities and limitations of customer cocreation for innovation and reconcile determinants originating in relationship marketing and innovation management. At the same time, managers obtain recommendations for selecting customers and communication channels to enhance the success of their customer cocreation initiatives.     

Market Orientation and Innovativeness in Supply Chains: Supplier's Impact on Customer Satisfaction

As today's firms increasingly outsource their noncore activities, they not only have to manage their own resources and capabilities, but they are ever more dependent on the resources and capabilities of supplying firms to respond to customer needs. This paper explicitly examines whether and how firms and suppliers, who are both oriented to the same customer market, enable innovativeness in their supply chains and deliver value to their joint customer. We will call this customer of the focal firm the “end user.” The authors take a resource‐dependence perspective to hypothesize how suppliers' end‐user orientation and innovativeness influence downstream activities at the focal firm and end‐user satisfaction. The resource dependence theory looks typically beyond the boundaries of an individual firm for explaining firm success: firms need to satisfy customer demands to survive and depend on other parties such as their suppliers to achieve customer satisfaction. Accordingly, the research design focuses on three parties along a supply chain: the focal firm, a supplier, and a customer of the focal firm (end user). The results drawn from a survey of 88 matched chains suggest the following. First, customer satisfaction is driven by focal firms' innovativeness. A focal firm's innovativeness depends, on the one hand, on a focal firm's market orientation and, on the other hand, on its suppliers’ innovativeness. Second, no relationship could be established between a focal firm's market orientation and a supplier's end‐user orientation. Market orientation typically has within‐firm effects, while innovativeness has impact beyond the boundaries of the firm. These results suggest that firms create value for their customer through internal market orientation efforts and external suppliers' innovativeness.     

Does IT alignment between supply chain partners enhance customer value creation? An empirical investigation

In today's hypercompetitive market, a firm's individual efforts, by themselves, are not sufficient to respond to marketplace changes in a timely and effective manner. Rather, the firm must rely on its intermediaries and bundle their respective resources to create responsiveness and added value to customers. In this investigation, the authors draw on the relationship marketing literature and the resource-based perspective to examine how firms can increase their customer value creation by exploring two specific driving forces, i.e., strategic importance of supply chain partners and interfirm integration, and relationship-enabled responsiveness as the dynamic capabilities derived from the driving forces. Using the developed scales for customer value creation, hypotheses are tested on data collected from 184 firms. Results suggest that strategic importance of supply chain partners motivates interfirm integration, i.e., strategic collaboration and information technology alignment, setting the stage for enhanced relationship-enabled responsiveness, and subsequently, customer value creation for the firm.     

Understanding the links between technological opportunism, marketing emphasis and firm performance: Implications for B2B

The capability of firms to sense and respond to changes in technologies, called technological opportunism, is of growing importance to managers as a source of competitive advantage. However, exactly how technological opportunism impacts firm performance is still not clearly understood. Furthermore, the role of marketing in this relationship, if any, has yet to be examined. Understanding this relationship is critical for marketing managers not only for determining strategic investments of resources but also for demonstrating marketing return on activities. This paper explores the links between technological opportunism and firm performance. The results show that technological opportunism has a strong positive impact on key measures of performance such as firm sales, profits and market value. Importantly, marketing emphasis is the mechanism through which the technological opportunism-performance relationship is achieved. Finally, the impact of marketing emphasis on B2B firms is different than that for B2C firms, highlighting the importance of these activities for B2B marketing managers.     

Differential effects of firm generated content on consumer digital engagement and firm performance: An outside-in perspective

Social media contains a massive amount of information, which provides researchers and practitioners with an invaluable source of data to conduct research from end-users' perspectives, in order to influence firm strategic choices. Although an extensive amount of research has been developed in B2C and B2B marketing context, few social media studies take a dive into potential linkages between external and internal marketing contexts in an industry specific paradigm. This study aims to bridge B2C and B2B social media marketing, by adopting the outside-in perspective as theoretical lens. Using a large-scale dataset, collected from a micro-blogging site, and consumer-oriented information assembled from multiple sources, we empirically examine the inter-relationship between firm-generated messages, consumer digital engagement, and firm sales performance in the movie industry. Theoretically, this study builds upon the outside-in perspective and extends the current knowledge of the outside-in perspective to the social media context. It also bridges the B2C and B2B marketing literature by demonstrating that the insight garnered from B2C social media interactions should be integrated into the B2B firm interactions, communications, and decision makings. Managerially, this study provides movie practitioners with important implications.     

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.     

Customer information resources advantage,marketing strategy and business performance: A market resources based view

Chief among a firm's market-based resources are its relational resources such as brand equity, customer equity and channel equity that result from its interactions with customers and marketing intermediaries, and intellectual resources – accumulated knowledge about entities in the market environment such as consumers, end use and intermediate customers and competitors. In the evolving digital data rich market environment, customer-based resources, a subset of a firm's market-based resources, are becoming increasingly important as potential sources of competitive advantage. Customer information assets refer to information of economic value about customers owned by a firm. Information analysis capabilities are complex bundles of skills and knowledge embedded in a firm's organizational processes employed to generate customer knowledge from customer information assets. Customer insights or knowledge is a firm's extent of understanding of customers that informs its business decisions. Building on the resource-based, capabilities-based and knowledge-based views of the firm, resource advantage theory of competition, and the outside-in and inside-out approaches to strategy, this article presents a market resources-based view of strategy, competitive advantage and performance. The article presents a framework delineating the relationship between a firm's customer information based resources, marketing strategy and performance, and discusses implications for theory, research and practice.     

It's all B2B…and beyond: Toward a systems perspective of the market

The delineation of B2B from ‘mainstream’ marketing reflects the limitations of the traditional, goods-dominant (G-D) model of exchange and a conceptualization of value creation based on the ‘producer’ versus ‘consumer’ divide. Service-dominant (S-D) logic broadens the perspective of exchange and value creation and implies that all social and economic actors engaged in exchange (e.g., firms, customers, etc.) are service-providing, value-creating enterprises; thus, in this sense, all exchange can be considered B2B. From this perspective, the contributions of B2B marketing (and other sub-disciplines) can be seen as applicable to ‘mainstream’ marketing. This generic, actor-to-actor (A2A) orientation, in turn, points toward a dynamic, networked and systems orientation to value creation. This article discusses this systems-oriented framework and elaborates the steps necessary for developing it further into a general theory of the market, informed by the marketing sub-disciplines, marketing practices, and disciplines external to marketing.     

Creating superior customer value for B2B firms through supplier firm capabilities

In a dynamic global business-to-business (B2B) environment, innovation and marketing appear crucial to providing supplier firms' positional advantage through the ability to create value for customers. Our examination is grounded in seeking to address the research question: To what extent is the creation of superior performance, relationship, and co-creation value driven by market orientation, product innovation and marketing capabilities in B2B firms? The results of a survey of 155 large B2B firms show product innovation capability and marketing capability partially mediates the relationship between a firms' market orientation and its ability to create value (performance and co-creation), except for the role of marketing capability which we found acted as a full mediator of the relationship between market orientation and relationship value.     

The external effect of marketing accountability in business relationships: Exploring the role of customer perceived value

This paper explores where and how marketing accountability of a supplier meets customer perceived value in a business relationship setting. If the supplier's firm implements marketing accountability processes, marketing activities are improved, as well as the communication of the value proposition to customers. The supplier's value proposition is in turn reflected through the creation of superior customer perceived value, which triggers attitudinal and behavioral value outcomes. Hence, the marketing accountability of the supplier, through its external manifestation with customers, ultimately influences the supplier's financial results. The aim of the paper is to discuss the external effect of marketing accountability in a business relationship context, which is often suppressed by the prevailing focus on the internal manifestations of marketing accountability, or the inside-out approach. As marketing accountability is an evolving field, bibliometric co-citation analysis is carried out to gain a better understanding of the marketing accountability's domain and scope. On the grounds of the relationship marketing theory and resource-based view, qualitative research was carried out and insights from interviews with marketing managers from different industries were analyzed. The paper concludes by suggesting the operationalization of the marketing accountability construct and pointing out the need for a multilevel and dyadic design of further empirical studies for testing the proposed external effect of marketing accountability.     

The effect of AI-based CRM on organization performance and competitive advantage: An empirical analysis in the B2B context

Organizations have cultural-cognitive and regulative as well as normative elements that impact their employees. Organizations, by definition, cannot achieve a pure, stable state and always go through various change processes, both incremental and radical changes. Moving from legacy business-to-business (B2B) relationship management to an artificial intelligence-based customer relationship management (AI-CRM) is a gradual but paradigm change. AI-CRM leverages intelligent systems to automate the B2B relationship activities where the decision can be taken automatically without any human intervention. Relationship management in the B2B segment is considered a strategic activity of an organization. Moving from legacy to AI-CRM to facilitate B2B relationship management activities is an important decision, and proper implementation of AI-CRM is a critical success parameter for an organization. This study combines institutional theory and the resource-based view (RBV) in B2B relationship management to understand how AI-CRM could impact the firm's performance with varied firm size, firm age, and industry type.