An analytic decision making framework to evaluate multiple marketing channels

Marketing channel evaluation is a crucial and complex task. Although empirical studies have made efforts to identify key constructs, no models have been developed to comprehensively assess the viability of different marketing channels for business. With this research, we propose an analytic decision-making framework for multi-channel evaluation. We first develop an analytic network, based on the inputs of managers and literature, to depict the interrelationships between decision criteria. Multi-Criteria Decision Making methods are then adapted to determine the weight of each evaluation criterion and to rank the practicality of alternative marketing channels. The model is tested with Cisco China. Sensitivity analysis is conducted in order to understand the impact of criteria uncertainties on channel rankings and the robustness of the proposed model. The management at Cisco found the model to be transparent, logical, practical, and it provided a valid and reliable guide for evaluating channel alternatives.     

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.     

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.     

Entrepreneurial orientation and firm performance: The role of knowledge creation process

This study examines the relationships among entrepreneurial orientation, knowledge creation process, and firm performance using survey data from 165 entrepreneurs. We use LISREL analysis to test the direct and indirect effects of the entrepreneurial orientation on firm performance. Knowledge creation process - operationalized to reflect the dimensions of socialization, externalization, combination, and internalization - is used as the mediating variable for explaining the relationship between entrepreneurial orientation and firm performance. The results indicate that the significance of the direct effect of entrepreneurial orientation on firm performance is reduced when the indirect effect of entrepreneurial orientation through knowledge creation process is included in a total effect model. Consequently, entrepreneurial orientation is positively related to firm performance, and knowledge creation process plays a mediating role in this relationship.     

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.     

Towards value-based pricing—An integrative framework for decision making

Despite a recent surge of interest, the subject of pricing in general and value-based pricing in particular has received little academic investigation. Yet, pricing has a huge impact on financial results, both in absolute terms and relative to other instruments of the marketing mix. The objective of this paper is to present a comprehensive framework for pricing decisions which considers all relevant dimensions and elements for profitable and sustainable pricing decisions. The theoretical framework is useful for guiding new product pricing decisions as well as for implementing price-repositioning strategies for existing products. The practical application of this framework is illustrated by a case study involving the pricing decision for a major product launch at a global chemical company.     

Managerial decision making and firm performance under a resource‐based paradigm

A framework is presented that connects managerial decision making to resource building and firm performance. The framework takes a behavioral view of decision making and distinguishes two distinct decision‐making processes. First there is the creative conceptualization of new resource configurations that are intended to deliver competitive advantage. Then there is the painstaking development of resources required to implement strategy. We argue that heterogeneity in the resources of rival firms arises from the interplay of these two processes: resource conceptualization and resource development. Heterogeneity spawns performance differences that can be explained ex ante from characteristics of managerial decision‐making processes. We illustrate the approach in a simulated decision‐making environment representing a highly competitive and dynamically complex industry. Results from repeated simulation experiments conducted with executive and MBA students show vast differences in performance among firms, even when they started with identical resource positions. In a departure from traditional resource‐based literature, we explain how these differences stem from path dependent accumulation of resources and spontaneous variety in the way rivals conceptualize resources. Copyright © 2010 John Wiley & Sons, Ltd.     

Integration,knowledge creation and B2B governance: The role of resource hierarchies in financial performance

Knowledge is a critical competitive resource for firms that increasingly exploit resources and capabilities combined with those of channel partners to create new knowledge. However, the opportunism risks inherent in any B2B relationship require firms to employ governance mechanisms to protect their interests. These tensions call for further study of how B2B partners exploit combined resources to produce new knowledge. This research employs a Resource Hierarchy View of resource bundling to describe the ways that firms integrate internal and external processes to achieve financial performance through knowledge creation, and the role that relational governance approaches play in enabling those resource combinations. The study finds that normative and formalized governance forms both enable complex combinations of knowledge creation and integration resources in a way that affects financial performance more than either resource could in simpler combination. However, there are differences in how knowledge is created through internal and external process integration.     

Setting B2B digital marketing in artificial intelligence-based CRMs: A review and directions for future research

The new business challenges in the B2B sector are determined by connected ecosystems, where data-driven decision making is crucial for successful strategies. At the same time, the use of digital marketing as a communication and sales channel has led to the need and use of Customer Relationship Management (CRM) systems to correctly manage company information. The understanding of B2B traditional Marketing strategies that use CRMs that work with Artificial Intelligence (AI) has been studied, however, research focused on the understanding and application of these technologies in B2B digital marketing is scarce. To cover this gap in the literature, this study develops a literature review on the main academic contributions in this area. To visualize the outcomes of the literature review, the results are then analyzed using a statistical approach known as Multiple Correspondence Analysis (MCA) under the homogeneity analysis of variance by means of alternating least squares (HOMALS) framework programmed in the R language. The research results classify the types of CRMs and their typologies and explore the main techniques and uses of AI-based CRMs in B2B digital marketing. In addition, a discussion, directions and propositions for future research are presented.     

An integrated marketing capability benchmarking approach to dealer performance through parametric and nonparametric analyses

The role of marketing capabilities as a source of sustainable competitive advantage has been discussed previously in the marketing strategy field. Benchmarking, a well-known learning mechanism, is suggested as a tool to identify and improve the marketing capabilities of a firm. Despite its popularity as a theoretical concept, there is not much empirical evidence to support the view of benchmarking marketing capabilities as a route to guide managers' efforts in this direction. This paper contributes to the three perspectives in the literature that support the view that benchmarking marketing capabilities can offer a basis for sustainable competitive advantage of the firm through both a conceptual and integrated benchmarking model. They are empirically analyzed using stochastic frontier and data envelopment analysis methods based on four-year data set of forty-five dealers of a leading business-to-business supplier. The results indicate the importance of competent salespeople and building a long-term relationship in enhancing dealer performance. In addition, they reinforce a recipe of how marketing capabilities can be benchmarked to achieve sustainable competitive advantage. Discussions and implications for managers are also presented.     

SMEs and artificial intelligence (AI): Antecedents and consequences of AI-based B2B practices

Development of small and medium enterprises (SMEs) is a key approach to achieving economic growth in the Middle East and successful adoption of technology is vital for SMEs' success and continuity. Artificial intelligence (AI) is part of a new generation of technologies that can facilitate competitive advantage but currently there is a lack of evidence regarding AI applications in relation to B2B SMEs in Middle East countries. Therefore, this study empirically examines antecedents to, and consequences of, successful acceptance of AI practices by B2B SMEs in Saudi Arabia. A conceptual model based on the technology-organisation-environment framework is developed which considers the impact of AI enablers and AI readiness on the acceptance of AI practices, and the impact of this on relational governance, performance, and SMEs' AI-based business customer interaction. The conceptual model was tested using structural equation modelling of survey data collected from B2B SMEs (n = 392). The results showed that, of the AI enablers, acceptance of AI practices was significantly influenced by both technology roadmapping and attitude but not professional expertise. Of the AI readiness variables, acceptance of AI practices was significantly influenced by infrastructure and awareness but not technicality. The acceptance of AI practices was found to significantly affect AI-enabled relational governance and performance, and SME's business customer AI-based interaction. This study provides a broader base for theoretical and practical understanding of issues related to AI practices in SMEs and the B2B sector in general.     

The adoption of technological innovations in a B2B context and its impact on firm performance: An ethical leadership perspective

The introduction of the digital economy has opened much discussion on the various business models that challenge traditional thinking in B2B marketing. This includes technological innovation in the digital space which has brought about theoretical changes in the way marketing is applied, more so in the B2B environment where communication is essential in the alignment with various stakeholders. Several discussions on ethical leadership in the digital economy have provided some insights into addressing increased complexity in a society where markets are connected (physically) yet disconnected (proximity) and this has led marketing practices going astray. Our paper proposes the relevance of ethical leadership and its role in the application of technological innovation by arguing that technological innovation has a positive impact on firm performance and that ethical leadership plays a critical role in moderating this effect. We use a dynamic panel data system Generalized Method of Moment (GMM) approach to examine secondary data from 465 IT service companies and demonstrate that ethical leadership plays a critical role as it enables innovation through technology, and this has an impact on the firm's performance.     

Usage, barriers and measurement of social media marketing: An exploratory investigation of small and medium B2B brands

Previous research has established the benefits of branding for business-to-business (B2B) organizations. Various tools can be used to support B2B brands, including the internet and other interactive technologies. Yet research on how organizations use Social Networking Sites (SNS) to achieve brand objectives remains limited. This study addresses the gap by focusing on B2B SMEs and their social networking practices, particularly, usage, perceived barriers, and the measurement of effectiveness of SNS as a marketing tool. Findings from a mail survey show that over a quarter of B2B SMEs in the UK are currently using SNS to achieve brand objectives, the most popular of which is to attract new customers. On the other hand, the most significant barrier is the lack of perceived relevance for particular sectors. Notably, the overwhelming majority of users do not adopt any metrics to assess SNS effectiveness. Almost half of the sample of SMEs that currently use SNS have indicated their intention to increase their marketing spending on this channel, highlighting the growing importance of SNS in a B2B context.     

Marketing capabilities: Antecedents and implications for B2B SME performance

The study provides a new perspective on SME marketing strategies in the B2B context. Using a resource-based view of the firm, the study develops a structural model linking marketing capabilities and marketing performance. A study of 367 SME Australian firms reveals that two key marketing capabilities, namely branding and innovation, have major performance outcomes in the SME B2B context. This is the first SME study to evaluate concurrently the contribution of innovation and branding marketing capabilities, with innovation capability the strongest determinant of SME performance. The study also finds market orientation and management capability act as enabling mechanisms for building marketing capabilities. Disaggregation tests indicate that the same findings apply to three size categories denoting micro firms (less than 20 staff), small firms (20-99 staff) and medium-sized firms (100-499 staff).     

An integrated product planning model for pricing and bundle selection using Markov decision processes and data envelope analysis

When bundling products during the product planning stage, there are a number of possible combinations that can be offered to customers. Consider a firm that offers N distinctive products, then there are 2^N−(N+1) possible bundling combinations. Now, if we wish to make pricing and bundle selection decisions, keeping in my mind limited inventory and a finite time horizon, then the size of the state space could be very large and finding an optimal solution could be impossible. To tackle this issue, we formulate an integrated model that utilizes a Markov decision process and data envelope analysis. Bundle selections are made using data envelope analysis in each decision epoch. Once the efficient bundles are selected they are priced by solving a Markov decision process using dynamic programming. Numerical examples are solved to exhibit the model's potential in solving real-world problems.     

Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry

E-commerce has provided new opportunities for both businesses and consumers to easily share information, find and buy a product, increasing the ease of movement from one company to another as well as to increase the risk of churn. In this study we develop a churn prediction model tailored for B2B e-commerce industry by testing the forecasting capability of a new model, the support vector machine (SVM) based on the AUC parameter-selection technique (SVMauc). The predictive performance of SVMauc is benchmarked to logistic regression, neural network and classic support vector machine. Our study shows that the parameter optimization procedure plays an important role in the predictive performance and the SVMauc points out good generalization performance when applied to noisy, imbalance and nonlinear marketing data outperforming the other methods. Thus, our findings confirm that the data-driven approach to churn prediction and the development of retention strategies outperforms commonly used managerial heuristics in B2B e-commerce industry.     

The effects of an articulated customer value proposition (CVP) on promotional expense,brand investment and firm performance in B2B markets: A text based analysis

Using text-based analysis, we search for evidence of articulated customer value propositions (CVP), in annual reports of US B2B firms, and then demonstrate that B2B firms that explicitly emphasize a CVP invest more in their brands, have higher future sales and sales per customer. We also find that CVP has a negative effect on the size of their customer base, perhaps because firms who care about a CVP appear to attract more long-term, loyal customers. Firms that pay more attention to CVP also tend to spend less on advertising and promotion. Future performance, particularly among small to mid-size firms, is positively affected when these firms emphasize CVP, and this also holds especially in less competitive markets. Our findings are based on a large dataset of around 12,000 firm year observations for a 14-year period from 2004 to 2017.     

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.     

Marketing capabilities and innovation-based strategies for environmental sustainability: An exploratory investigation of B2B firms

While emerging literature on sustainability shows that environmentally responsible strategies can contribute to competitive advantage and enhanced financial performance, little is known about specific marketing capabilities that lead to sustainable consumption behavior, and whether implementing such strategies leads to firm competitive advantage. Using the case method approach, this study explores marketing-related strategies and practices pertaining to sustainable consumption as reported by leading sustainable firms in the B2B context. We examine case studies of forty seven B2B firms and identify key marketing capabilities that tie to innovation-based sustainability strategies, sustainable consumption behavior and firm performance. We use our findings to develop a conceptual framework linking marketing capabilities to innovation strategies for firm sustainability, sustainable consumption behavior and firm competitive advantage, and put forward propositions for future research.     

Green supply chain practices and environmental performance in Brazil: Survey,case studies,and implications for B2B

This article examines whether or not customers cooperate in organisations' environmental performance, in what circumstances it happens; and how customers can collaborate with organisations in order to they improve their environmental performance. This research uses both the Ecological Modernisation (EM) and the Resource Dependence Theory (RDT) to analyse the effects of external Green Supply Chain Management (GSCM) practices, namely, ‘Cooperation with Customers’ (CC) and ‘Green Purchasing’ (GP) on the Environmental Performance (EP) of organisations. A multi-method research is used, combining a survey and multiple-case studies of Brazilian organisations. The main results and contributions of this research include: (a) the Brazilian setting, in the context of EM, provides incentives for adopting GSCM practices, especially CC practices; (b) Brazilian organisations depend more on customers than on suppliers to improve EP; and (c) an original matrix for a better understanding of the roles of suppliers and customers to achieve a better EP through a GSCM approach is proposed. This paper provides an extension to EM and RDT theories applied to green operations management by showing that external GSCM can improve EP and such process depends more on CC than GP. Implications for B2B are highlighted.