Marketing ecosystem: An outside-in view for sustainable advantage

In the modern business environment, consumers are increasingly influenced by megatrends involving marketplace, technology, socioeconomics, geopolitics, and natural environment. Simultaneously, the data and insights that can inform consumer attitudes and behaviors often reside outside of firms' direct control. Consciously incorporating these interdependent factors into firms' decision-making is essential for adaptability and sustainable profitability.Building on the “outside-in” perspective, we propose that firm strategies should be informed through the lens of the marketing ecosystem that considers the interrelated and dynamic megatrends. By leveraging advances in data and technology, firms can sense-make the marketplace by extracting insights from massive amounts of diverse consumer data with modern-day analytics. By mapping out the megatrends with marketing analytics, firms can 1) more accurately predict consumers' changing preferences and formulate appropriate strategies to engage with them; and 2) become more market-adaptable and competitive in the present and the future.To deliver sustainably compelling value to customers, firms should adopt an ecosystem mindset and cooperate with various stakeholders. A broad-thinking, agile, and humble firm culture can enable the development of more robust outside-in capabilities. We elaborate on the megatrends in the interconnected world of the marketing ecosystem, and propose emerging research directions in each area.     

Cognitive computing,Big Data Analytics and data driven industrial marketing

The integration of cognitive computing and big data analytics leads to a new paradigm that enables the application of the most sophisticated advances in information and communication technology (ICT) in business, including industry, business to business, and related decision-making process. The same paradigm will lead to several breakthroughs in the subfield of industrial marketing: a field both promising and extremely challenging. This special issue makes a case that cognitive computing and big data are a source of a new competitive advantage that, if properly embraced, will further consolidate industrial marketing management position in the of core the decision-making process of businesses operating locally and globally. In this vein, the value added of this special issue is twofold. On the one hand, this special issue communicates high quality research on big data analytics and data science as it is applied in industrial marketing management; On the other hand, it proposes a multidisciplinary approach to the study of the design, implementation and provision of sophisticated applications and systems necessary for data-driven industrial marketing decisions.     

An empirical analysis of sustained advantage in the U.S. pharmaceutical industry: impact of firm resources and capabilities

The authors test a model of the relationships among firm resources, firm capabilities, and sustained competitive advantage between 1971 and 1989. Sustained comparative advantage was captured by two variables: therapeutic differentiation and global NCEs. The results show that R&D and salesforce expenditures have indirect and direct effects, respectively, on sustained competitive advantage. Firm capabilities were differentiated into component and integrative capabilities. Component capabilities were captured by the firm’s internal R&D efforts and therapeutic market focus, while integrative capabilities were concerned with the firm’s ability to obtain FDA approvals and to develop radical new drugs. Findings on each of these four capabilities on therapeutic differentiation and global NCEs are mixed. The direct and indirect effects of these resources and capabilities on therapeutic differentiation and global NCEs suggest important managerial implications in the way firms coordinate and combine their assets so as to achieve sustained competitive advantage. Copyright © 1999 John Wiley & Sons, Ltd.     

Building Dynamic Capabilities in New Product Development through Intertemporal Integration

Although successful development of a given product may help explain the current success of a firm, creating longer‐term competitive advantage demands significantly more attention to developing and nurturing dynamic integration capabilities. These capabilities propel product development activities in ways that build on and develop technological and marketing capabilities for future product development efforts and create platforms for future product development. In this article, we develop a conceptual model of a dynamic integration process in product development, which we call intertemporal integration (ITI). In its most general form ITI is defined as the process of collecting, interpreting, and internalizing technological and marketing capabilities from past new product development projects and incorporating that knowledge in a systematic and purposeful manner into the development of future new products. Research propositions outlining the relationship of ITI to performance are presented. We provide specific examples of managerial mechanisms to be used in implementing ITI. We conclude with implications for research and practice. Effective management of ITI can increase new product development success and long‐term competitive advantage. This implies that management needs to engage in activities that gather and transform information and knowledge from prior development projects so that it can be used in future development projects. Project audits, design databases in computer‐aided design (CAD) systems, engineering notebooks, collections of test and experimental results, market research and test market results, project management databases, and other activities will all be important in the acquisition of knowledge from prior new product development (NPD) projects. Managers also should initiate the creation and maintenance of databases of technical and marketing information from prior projects, job performance reports, seminars and workshops related to technological issues and advances, and publication of technical journals to assist in the process of knowledge acquisition. Similarly, techniques such as assigning project managers from earlier development projects, reusing key components and technologies, and developing a company‐wide methodology for managing projects can be used to boost the application and use of knowledge.     

How to leverage the impact of R&D on product innovation? The moderating effect of management innovation

Although research and development (R&D) is a key indicator of (technological) innovation, scholars have found mixed results regarding its effect on product innovation and firm performance. In this paper, we claim that variations in R&D effectiveness can be explained by changes in a firm’s social system, in particular in its management innovation. It is still unclear how management innovation influences R&D effectiveness in terms of product innovation. In this study, we address this theoretical and empirical gap in the innovation literature. Our theoretical arguments and findings from a large-scale survey among Dutch firms show that R&D has a decreasingly positive relationship with product innovation, particularly for firms with low levels of management innovation. However, in firms with high levels of management innovation, this relationship becomes more J-shaped, especially in small and medium-sized firms. Our findings also appear to indicate that management innovation may be more important for competitive advantage than just R&D. Overall, our insights reveal that management innovation is a key moderator in explaining firms’ effectiveness in transforming R&D into successful product innovation.     

Some Approaches to Complementary Product Strategy

Without complementary products, many high-tech innovations might be relegated to the scrap heap. For example, the development of desktop computers was not the sole impetus for the personal computing revolution. This innovation also depended on the development of word processing, spreadsheet, and desktop publishing software, as well as peripheral devices such as laser printers. Development of complementary products clearly offers increased opportunities for firms in many high-tech markets. However, managers must balance those opportunities with the added risks their firms face in attempting to develop products that may extend beyond their core lines of business. Focusing on the early business analysis stage of the product development process, Sanjit Sengupta identifies some alternative approaches that firms use for developing and marketing complementary products. Using data from 103 projects in the computer, consumer electronics, software, and communications industries, his study explores the relationships between a firm's complementary product strategy and such conditions as complementary product opportunity, organizational fit, and the multiplier effect of the complementary product on sales of the primary product. His study also examines the sources of competitive advantage in complementary product strategies. Contrary to the notion that only large, well-funded firms can pursue a complementary product strategy, the study identifies various alternatives to expensive, in-house development efforts. Depending on the level of resources available for a particular project, a firm may choose various modes for adopting a complementary product strategy, including co-development alliances, proprietary interface development, co-marketing alliances, and original equipment manufacturer (OEM) agreements. Findings from this study indicate that competitive advantage in complementary product strategy comes from the multiplier effect on sales of the primary product and from the innovativeness of the complementary product. Even if the complementary product has low sales potential by itself, the product may still offer a significant competitive advantage through its multiplier effect on the sales of the primary product. Somewhat surprisingly, the results suggest that organizational fit and complementary product opportunity have no effect on competitive advantage. However, organizational fit does appear to be an important condition for adopting a complementary product strategy. (c) 1998 Elsevier Science Inc.     

Firm survival through a crisis: The influence of market orientation,marketing innovation and business strategy

As an outcome of the economic crisis, the global manufacturing sector is collapsing. Focusing on Chinese manufacturing small and medium enterprises (SMEs), this study investigates whether marketing innovation, defined as improvements in the marketing mix, can assist in withstanding the challenges of operating under the current economic conditions. A conceptual model linking market orientation, marketing innovation, competitive advantage and firm survival is tested using structural equation modelling. Three key findings are derived. First, the examined Chinese manufacturing SMEs had a greater perceived likelihood of survival had they developed and sustained a competitive advantage. Second, marketing innovation assisted in developing and sustaining competitive advantages based on differentiation and cost leadership strategies. Third, marketing innovation capabilities improved when the examined manufacturing SMEs were competitor oriented and had good inter-functional capabilities.     

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.     

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.     

Growth hacking: Insights on data-driven decision-making from three firms

Theoretical backgroundThe work explores how Big Data analysis can reshape marketing decision-making in B2B sector. Deriving from Data-Driven Decision-Making (DDDM) approach, the Growth Hacking model is employed to investigate the role of cognitive computing and big data analytics in redefining business processes.PurposeThe main objectives of the study are: 1) to assess how a data-driven orientation to the use of big data analytics and cognitive computing can reframe marketing decisions in B2B segment; 2) to explore whether the adoption Growth Hacking can be helpful in exploiting the opportunities offered by big data analytics and cognitive computing in B2B marketing.MethodologyThe paper is based on Action Research (AR) methodology that permits researchers to participate actively in the observation of businesses and to examine how decisions are undertaken and managed over time.ResultsThe main findings allow identifying the most common strategies and tactics employed in three companies operating in different B2B sectors to exploit the opportunities offered by cognitive computing and big data analytics according to a data-driven marketing approach. Based on the application of the Growth Hacking model, the tools of analytics and the main objectives, outcomes and implications on marketing decision-making are revealed.OriginalityThe identification of the main objectives and outcomes produced across the three dimensions of the Growth Hacking model (data analysis, marketing and programming) can help academics and practitioners to understand the main levers to attain marketing goals, such as the enhancement of relationship with customers (CRM), continuous learning and development of new products and potential innovation.     

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.     

Non-technical innovation: Organizational memory and learning capabilities as antecedent factors with effects on sustained competitive advantage

The aim of the present study is to analyze the role of organizational memory and learning capabilities as antecedents to non-technical innovation, comprising organizational and marketing innovation, and to examine their effect on sustained competitive advantage within a capabilities-based view (CBV) theoretical framework. For analysis of the proposed theoretical model, 159 industrial companies in Spain were sampled and a system of structural equations was modeled using partial least squares methodology. The results confirm that both organizational memory and learning capabilities favor the development of organizational innovation and marketing innovation. Furthermore, the paper shows that both types of non-technical innovation promote the achievement of sustained competitive advantage.     

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.     

New Product Preannouncement as a Signaling Strategy: An Audience‐Specific Review and Analysis*

Firms in various industries with highly competitive environments use new product preannouncement (NPP) as one of the most effective and popular signaling tools. Preannouncements can bring both benefits and costs to firms. Extant research has studied NPP from different perspectives and tackled the questions, “Should a new product be preannounced and when?” and “What information should be preannounced and why?” However, the benefits and costs of preannouncements from an audience‐specific perspective are less well understood. It is important to notice that benefits and costs of a preannouncement vary among different audiences and firms need to apply group‐specific weights in assessing the overall benefits and costs prior to making new product preannouncements. The purpose of this article is to review the existing literature on new product preannouncements for commonly observed marketing problems and to develop a general approach focusing on the target audiences and the incentives in sending signals to each audience and the impacts of these signals. This paper first reviews the literature on marketing‐related NPP issues as well as the determinants and effects of various factors on NPP decisions. Then, it discusses the phenomenon of new product preannouncements linked to other marketing and economics problems: (1) product development and positioning; (2) product diffusion and adoption; (3) firm value; (4) vaporware and antitrust litigations; and (5) consumer welfare. In addition, this paper divides the target audience of the new product preannouncement into four groups: customers, competitors, investors, and distributors. Based on current signaling theory, it proposes an audience‐specific framework to analyze the determinants, incentives, and impact of new product preannouncements. The proposed approach may provide more comprehensive insights on NPP strategies to managers and industrial decision makers. Finally, the paper suggests a number of future research directions from four different perspectives (i.e., customer, firm, government/industry, and methodology).     

Interaction Orientation and Product Development Performance for Taiwanese Electronics Firms: The Mediating Role of Market‐Relating Capabilities

While academics and practitioners are increasingly aware of the value of including the customer in new product development (NPD), processes for doing so effectively remain unclear. Therefore, this study explores the process through which a firm's interaction orientation (the ability to effectively interact with customers) influences product development performance. Drawing on the resource‐based view, this study develops a research model in which two market‐relating capabilities—market‐linking and marketing capabilities—mediate the effect of interaction orientation on product development performance. The validity of this model is examined by analyzing primary data gathered from 167 Taiwanese electronics companies. The model results provide support for a process link between interaction orientation, market‐relating capabilities, and product development performance, such that a firm's capabilities enable the conversion of customer‐based resources into productive new product outcomes. More specifically, the interaction orientation–product development speed relationship is mediated by both marketing and market‐linking capabilities, while the interaction orientation–product innovativeness relationship is partially mediated by marketing capability. That is, interaction orientation has indirect effects on product innovativeness and product development speed by strengthening both marketing and market‐linking capabilities that in turn improve product development performance. In addition, the results suggest that a firm's interactive rationality moderates the relationship between interaction orientation and marketing capability. Overall, this study enhances our understanding of how firms achieve superior product development performance by developing effective customer interaction. The findings of this study provide important strategic insights into NPD.     

企业核心竞争力与管理优势浅析

企业核心竞争力是指企业所拥有的独特能力和优势。企业竞争能力体现在资本、人才、管理、技术、产品、成本、营销网络等方面的优势，其中，管理优势是核心优势，企业的竞争力归根到底是企业的管理优势。企业拥有的核心竞争力是其他各种优势得以发挥作用的联结点，是其可持续发展的根本。企业核心竞争力的培育在于管理素质，企业核心竞争力的关键在于管理好关键员工，企业核心竞争力的保持离不开战略管理。     

Department Status: An Exploratory Investigation of Direct and Indirect Effects on Product Development Performance

To date only a limited number of product development studies have examined the construct of department status. These studies mostly report that departments can reflect different levels of status among themselves during product development activities and that often the marketing department reflects greater status. These studies do not clarify the role that department status may pose for product development performance and product management performance. Some research would suggest that department status has a direct effect on performance, while other research would suggest that department status has an indirect effect on performance. The present study investigates whether the bestowing of department status is important to product development performance and product management performance, and, if so, how? Based on empirical results from a cross‐industry study involving 668 marketing, manufacturing, and R&D managers, department status is found to have a significant indirect effect on product development and product management performance. Results further show that equal status among the three departments of marketing, manufacturing, and R&D correlates with higher levels of interdepartmental collaboration, which in turn manifests the benefits of higher levels of performance. Interdepartmental collaboration is therefore shown to be a mediating variable between department status and performance. The empirical results of this study suggest that no one department should dominate the product development effort and/or product management effort. While study data tend to correspond with prior studies in that the marketing department tends to reflect higher status compared to R&D and manufacturing, simply bestowing more status to marketing (or to another department for that matter) does not appear to be a proper course for facilitating interdepartmental collaboration nor for manifesting higher product development performance. Rather, equal status across marketing, manufacturing, and R&D departments appears to represent the proper course of action to establish collaboration between these three departments and subsequently to reap the benefits of higher performance. Given the exploratory nature of this study, subsequent study is warranted. Avenues for future research along with tentative managerial implications are discussed.     

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.     

Pricing superheroes: How a confident sales team can influence firm performance

Despite strong evidence of substantial impact on the bottom line, most companies counter-intuitively neglect the pricing function — as do most scholars. Although pricing is gaining in popularity, only a few articles published in major marketing journals focus on it, and scholars have long asked how organizational and behavioral characteristics of firms affect the link between pricing practices and firm performance. To address these practical and theoretical deficits, we surveyed 507 professionals involved in account and sales management at business-to-business (B2B) firms from around the world to measure the influence of five organizational factors on sales collective confidence associated with pricing and relative firm performance. Results demonstrate that four of the five factors (pricing capabilities, delegation of pricing authority, incentive and goal systems, and knowledge before negotiation) positively and significantly influence sales collective confidence associated with pricing. In turn, we find collective confidence in the sales force to be significantly and positively related to relative firm performance, suggesting that firms that are able to design organizations and allocate resources in a way that maximizes pricing confidence can achieve superior financial outcomes. In aggregate, these organizational factors promote competitive advantage and comparative firm performance.