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

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

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.     

Big data analytics for supply chain relationship in banking

This paper reports how a commercial bank in Asia uses big data analytic as a tool to explore the internal B2B data to improve supply chain finance and the efficiency of marketing tactics and campaigns. A case study was conducted by analyzing two types of supply chain relationships: (1) supply chain relationships in the credit reports; (2) e-wiring transactions among supply chain companies. The results show that big data analytics is very useful in terms of improving the commercial banks' marketing and risk management performances. The case study also set a good example for B2B firms seeking to understand how they could leverage big data analytics to differentiate customer solutions, sustain profitability and generate new business values. Theorical and practical implications are also discussed.     

Responsive and Proactive Market Orientation and New‐Product Success*

What is the relationship between market orientation and new‐product success? This important question has not been examined adequately to date because the concept of market orientation has been measured too narrowly. The concept of market orientation implies both responsive market orientation, which addresses the expressed needs of customers, and proactive market orientation, which addresses the latent needs of customers—that is, opportunities for customer value of which the customer is unaware. In the numerous market orientation–performance studies to date, the measure of market orientation has consisted virtually entirely of behaviors related to satisfying customers' expressed needs rather than satisfying their latent needs as well. The present study extends the measurement of market orientation to match the full scope of the concept—to measure both responsive market orientation and proactive market orientation. Using data from a sample of technologically diverse businesses, the present study develops a measure of proactive market orientation, refines the extant measure of responsive market orientation, and analyzes the relationship of a business's responsive and proactive market orientation to its new‐product success. The study findings imply that for any business to create and to sustain new‐product success, a responsive market orientation is not sufficient and, thus, that a proactive market orientation plays a very important positive role in a business's new‐product success. These findings make intuitive sense. For if in developing its new products a business relies solely on what customers state as their new product needs, the business is very vulnerable economically. Such a business is vulnerable not only for relying on customers' best guesses for new products, many or most of which may have little long‐term economic value for either party, but also to competitors' parallel new product responses and the inevitable resulting price competition. A business that relies solely on customers' expressed needs to develop its new products creates no new insights into value‐adding opportunities for the customer and thereby creates little or no customer dependence and foundation for customer loyalty. The important role for proactive market orientation in new‐product success is intuitively obvious—and is supported empirically in this study.     

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.     

Analyzing the Effects of Market and Resource Orientations on Innovative Outcomes in Times of Turbulence*

Innovation and new product success are often a core precursor to superior performance. Although research has examined the resource‐based view (RBV) and market orientation (MO) individually, limited research has evaluated and compared their effect on innovation and new product success in one study. Furthermore, relative to MO, comparatively less research has been conducted to evaluate the relationship between organizational learning (OL) and the RBV to examine their effects on a firm's ability to innovate and succeed. The purpose of this paper is to investigate the role of environmental variables (i.e., market turbulence and technological turbulence) on the relationship between two strategic orientations and performance and to extend a previous study. Specifically, it aims to evaluate whether a focus on the customer or the firm will impact innovation, product quality, new product success, financial performance, and customer value in settings of varying environmental turbulence. Data were collected from more than 200 senior executives. LISREL was applied to evaluate the relationships under examination. Interaction effects were assessed using a nested goodness‐of‐fit strategy using a multiple‐group solution. Results depicted significant relationships between organizational learning and both resource and market orientations. Significant relationships also emerged between each strategic orientation and various performance indicators. Interaction effects were observed for market turbulence on customer value and market orientation as well as for resource orientation (RO) on innovation in times of high technological turbulence. The paper concludes with a review of theoretical and managerial implications to stimulate further debate. These results suggest that managers seeking innovation and new product success cannot afford to ignore the environment and do so at their peril. The provision of customer value is essential for positive financial performance. Thus, management needs to monitor environmental contexts so that they are able to adjust their investment in market orientation and the requisite processes that enable its implementation. Conversely, the effects of RO on performance are more robust across industry conditions, presenting an alternative avenue for management to achieve market superiority. The paper concludes with a review of theoretical and managerial implications to stimulate further debate.     

Investigating the Drivers of Innovation and New Product Success: A Comparison of Strategic Orientations*

The notion of producing innovations and achieving new product success has received a great deal of attention. Though many have investigated these effects in marketing and various fields within management, there has been little cross‐fertilization between fields of study to explain the basis for this superior performance. Though research has examined the resource‐based view (RBV) and market orientation individually, none has evaluated and compared their effect on firm innovation and new product success in one study. Furthermore, although empirical work has been conducted between market orientation and organizational learning, comparatively less research has been conducted to evaluate the relationship between organizational learning and the RBV to examine their combined effects on a firm's ability to innovate and succeed. Subsequently, the purpose of the present article is to investigate whether a focus on the customer (i.e., market orientation) or the firm (i.e., RBV) will drive the ability to (1) innovate within the firm and (2) succeed in terms of new product success, financial performance, market share, and customer value. The present article examines the relationship between organizational learning and the RBV and market orientation. It presents an empirically testable framework that investigates the relationship that RBV and market orientation have with performance outcomes. Data were collected from 249 senior executives. LISREL was applied to evaluate the relationships. Confirmatory factor analysis and related techniques were applied to assess the robustness of the measures used. Findings show that organizational learning is strongly associated with market orientation, which in turn impacts various performance outcomes including customer value. The RBV had a significant relationship with new product success. These results suggest that managers seeking innovation and new product success should focus less on the provision of customer value. Instead they should look toward developing their resources within the firm, including investing in human resources, to ultimately provide value to the firm. Findings indicate that this unique offering—innovations—will have an indirect effect on customer value and financial performance. In contrast, those in pursuit of positive financial performance and customer value should focus on the development of market orientation. Even though this will not necessarily lead to the development of innovative processes and new product success according to the present study, this approach may lead to a greater market share in the long term. This article reviews theoretical and managerial implications in more depth, providing an impetus for further research.     

A dynamic capability view of marketing analytics: Evidence from UK firms

While marketing analytics plays an important role in generating insights from big data to improve marketing decision-making and firm competitiveness, few academic studies have investigated the mechanisms through which it can be used to achieve sustained competitive advantage. To close this gap, this study draws on the dynamic capability view to posit that a firm can attain sustained competitive advantage from its sensing, seizing and reconfiguring capabilities, which are manifested by the use of marketing analytics, marketing decision-making, and product development management. This study also examines the impact of the antecedents of marketing analytics use on marketing related processes. The analysis of a survey of 221 UK firm managers demonstrates: (a) the positive impact of marketing analytics use on both marketing decision-making and product development management; (b) the effect of the latter two on sustained competitive advantage; (c) the indirect effect of data availability on both marketing decision-making and production development management; and (d) the indirect effect of managerial support on marketing decision-making. The research model proposed in this study provides insights into how marketing analytics can be used to achieve sustained competitive advantage.     

Overhauling the new product process

The three cornerstones of successful product development are process, strategy, and resources, according to the benchmarking study reported in this article. Of the three, having a high quality new product process had the strongest impact on business's new product performance. A high quality new product process meant: an emphasis on up-front homework; sharp, early product definition; the voice of the customer evident throughout; tough go/kill decision points; a focus on quality of execution; and a thorough yet flexible process. The research results point strongly to a need to overhaul firms' new product processes—from idea to launch—to incorporate these and other key success drivers, such as the quest for real product superiority, and the need for true cross-functional teams. The goals of an effective new product process—that is, the specifications or key elements of a high quality process—are outlined, a vital starting point to any process reengineering exercise. The article ends with a quick look at a third generation stage-gate or new product process, together with some tips and hints on how to proceed to overhaul your company's new product process.     

Decomposing Product Innovativeness and Its Effects on New Product Success

Does product innovativeness affect new product success? The current research proposes that the ambiguity in findings may be due to an overly holistic conceptualization of product innovativeness that has erroneously included the concepts of product advantage and customer familiarity. This article illustrates how the same measures have often been used to assess product advantage with product innovativeness and product innovativeness with customer familiarity. These paired overlaps in measurement use are clarified in this research, which decomposes dimensions of product innovativeness along conceptual lines into distinct product innovativeness, product advantage, and customer familiarity constructs. To further support this decomposition, structural equation modeling is used to empirically test the distinctions. The measurement model supports the conceptual separation, and the path model reveals contingent effects of product innovativeness. Although product innovativeness enhances product advantage, a high level of innovativeness reduces customer familiarity, indicating that product innovativeness can be detrimental to new product success if customers are not sufficiently familiar with the nature of the new product and if innovativeness fails to improve product advantage. This exercise in metric development also reveals that after controlling for product advantage and customer familiarity, product innovativeness has no direct effect on new product profitability. This finding has strong implications for firms that mistakenly pursue innovation for its own sake. Consideration of both distribution and technical synergy as driving antecedents demonstrates how firms can still enhance new product success even if an inappropriate level of innovativeness is present. This leads to a simple but powerful two‐step approach to bringing highly innovative products to market. First, firms should only emphasize product innovativeness when it relates to the market relevant concepts of product advantage and customer familiarity. Second, existing technical and distribution abilities can be used to enhance product quality and customer understanding. Distribution channels in particular should be exploited to counter customer uncertainty toward newly introduced products.     

It’s in the Mix: How Firms Configure Resource Mobilization for New Product Success

This paper aims to deepen the understanding about when and how the mobilization of resources through strong and weak ties in a focal firm’s network can affect new product success. It addresses two significant gaps in the literature. While prior research has advanced the understanding of how factors around tie strength, resource mobilization, and environmental characteristics relate to new product development, it has yet to offer a more holistic understanding of the interconnected structures and the interplay among these factors. Furthermore, limited insights exist about how firms could utilize resource mobilization approaches in different environmental contexts to enhance new product success. Building on resource dependence theory, this paper contributes to prior work by adopting configuration theoretical considerations and performing an empirical investigation to identify necessary and sufficient conditions for new product success. Based on data from a survey of 354 managers from manufacturing and services firms in the United Kingdom, the study conducts a configurational comparative study based on fuzzy‐set Qualitative Comparative Analysis to examine configurations of strong‐tie and weak‐tie resource mobilization approaches within particular environmental contexts for new product success. The findings reveal alternative, equifinal configurations for new product success, and add to the existing body of work by connecting the notions of network ties, resource mobilization, and context dependence, as well as by developing an integrative framework to explain the interplay of remote and proximate conditions for new product success. For management practice, this study offers guidance in describing and diagnosing business contexts that enhance new product success, and in identifying resource mobilization action repertoires to capitalize on these contexts.     

You have not been archiving emails for no reason! Using big data analytics to cluster B2B interest in products and services and link clusters to financial performance

The potential of big data analytics when it comes to gaining business insights, such as market trends and consumer preferences, has captured the interest of both scholars and business practitioners. However, the extant literature has so far provided limited empirical evidence to demonstrate how big data analytics can create business value. To address this research gap, this paper followed a novel big data analytical approach that involved analysing email archives about product/services demand clusters in a B2B setting. We analysed 621 k emails exchanged between 2009 and 2018. We identified a number of discussion clusters that were considered proxies for the interest buyers expressed in the products/services on offer. These clusters and associated discussion trends were linked to the company's revenues and financial performance, showing good predictive power. In doing this, we have demonstrated how widely available data, such as emails, which all companies have, can be used to underpin new methods for the early identification and monitoring of product demand trends, informing marketing strategies.     

Exploring the Nonlinear Impact of Organizational Integration on New Product Market Success

This article explores the nonlinear relationship between organizational integration and new product market success (NPMS). The concept of organizational integration was measured by assessing the degree of integration among various groups of people involved in the development of new products including new product development (NPD) teams that are typically the focal points of NPD efforts. New product market success was measured by examining four often‐used measures of NPD success. The mail survey research approach was used to gather empirical data from NPD managers in three major industries. The data gathered from this survey process were used as the basis from which to extract information to address this study's major research questions, which include: (1) How is the degree of new product market success related to the nonlinear degree to which groups of people (including NPD teams) integrate during NPD processes? and (2) How is the degree of new product market success related to the nonlinear degree to which separate groups of people (e.g., customers, suppliers, and functional departments) integrate during NPD processes? This study found that high levels of organizational integration (overall organizational integration and supplier organizational integration) during NPD processes are associated with high levels of new product market success. Additionally, this study found that the relationship between new product market success and organizational integration (customer organizational integration and functional organization integration) during NPD processes exhibit nonlinear, U‐shaped relationships. Therefore, the first important finding of this study confirms that various forms of organizational integration impact in a positive way the market success of new products. This suggests that management responsible for all NPD projects should consciously integrate important groups of people to support such developments. This study's findings also confirm and imply that new product developers in the studied industries should integrate marketing and research and development (R&D) over the duration of the NPD process. This suggests that new product managers must be proactive to assure that members of NPD teams are actively engaged with groups of supporting people within and outside new‐product–producing organizations. Unlike prior research, a major finding of this study suggests that the association between organizational integration and new product market success does not form inverted U‐shaped relationships. Data from this research imply that new product market success is linearly influenced by overall and supplier organizational integration. However, this study's data suggest that new product market success is nonlinearly influenced by customer and functional organizational integration. This study's data suggest that when customer organizational integration and/or functional organizational integration is increased, new product market success can be increased at a rate which is greater than a linear rate.     

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 adoption and sales performance from the importer perspective

From an international business setting, this paper investigates how importers determine new product adoptions and how exporters diffuse new products to offshore markets through importers. Using the technology–environment–organization framework, we examine the effect of innovative characteristics of selected new products, importer-specific organizational capability, and exporter-specific environmental factors, on the adoption of new products by importers. Our sample included 585 new products from 152 local import firms nested in 34 foreign export firms. The results indicate that product meaningfulness, product superiority, and customer familiarity facilitate importer success in new product adoption. Importer host-market experience enhances new product adoption and moderates the relationship between adoption and sales performance. Exporter influence of market reputation in the host market and product-innovation capability is beneficial in promoting new products for enhanced sales performance. Instead of a single focus on new product adoption, we used a cross-level model to test the factors that foster new product adoption by importers.     

Measuring New Product Success: The Difference that Time Perspective Makes

Management is often criticized for overemphasizing short-term profits at the expense of long-term growth. On the other hand, although numerous studies have explored the factors underlying new product success and failure, such studies rarely distinguish between short- and long-term success. In fact, little research has been conducted to explore the relationship between a company's time perspective and its choice of criteria for measuring new product success. For that matter, little consensus exists as to just what we mean by the term success. Expanding on work done by a PDMA task force on measurement of new product success and failure, Erik Jan Hultink and Henry S.J. Robben identify 16 core measures of new product success. In a survey of large Dutch companies, they explore managers' perceptions of new product success, hypothesizing that the importance attached to each of the 16 core measures depends on the company's time perspective. For example, they propose that criteria such as development cost and speed-to-market are more important in the short term, and return-on-investiment (ROI) is more important in the long term. The study also examines the type of market served, the innovation strategy, and the perceived innovativeness of the company's products. It is hypothesized that these factors will influence the importance the company attaches to the core measures of new product success. For example, it is expected that speed-to-market is probably more important for technological innovators than for fast imitators or cost minimizers. The findings support the hypothesis that the firm's time perspective influences the perceived importance of the core measures of success. For the short term, the respondents emphasize product-level measures such as speed-to-market and whether the product was launched on time. In the long term, the focus is on customer acceptance and financial performance, including attaining goals for profitability, margins, and ROI. Four factors are perceived as being equally important for short-term and long-term success: customer satisfaction, customer acceptance, meeting quality guidelines, and product performance level. Customer satisfaction was found to be the most important measure, regardless of a company's time perspective. Contrary to expectations, the perceived importance of the 16 core measures does not differ on the basis of the type of market, the innovation strategy, or the product's perceived innovativeness. In addition, the firm's functional orientation—technology push or market pull—does not affect the importance attached to the core measures of new product success.     

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.     

Antecedents and consequences of the strategic orientations in new product development: The case of Chinese manufacturers

The objective of the present study is to advance the understanding of the role of the strategic orientation of the firm for successful new product development (NPD), in the context of Chinese manufacturing firms. Through field research accompanied by a review of the related literature, this study identifies customer orientation and technology orientation as crucial strategic components that are important to successful new product development. This research proposes a conceptual model of strategic orientations, in which firm-internal (organizational support) and -external (environmental turbulence) factors are expected to influence strategic orientations, which, in turn, impact NPD performance. The model is tested using data collected from a large-scale survey of 232 manufacturing firms in China. The results largely support the hypotheses derived from the conceptual model. First, organizational support and environmental turbulence have a positive influence on the implementation of strategic orientations. Second, the two strategic orientations show a different pattern of performance implications.     

Measuring new product success: an empirical investigation of Australian SMEs

New product development (NPD) has long been recognised as one of the corporate core functions. However, measuring new product success has remained elusive. This paper attempts to examine several conceptual issues underlining the measurement of new product success and the measurement practice adopted in Australian small and medium enterprises (SMEs). The sample included 276 SMEs from two most innovative industries: chemical and machinery industries. Results have indicated that four factors underline the commonly used success measurement: financial performance, objective market acceptance, subjective market acceptance, and product-level measures. These four factors are related to each other and can be used to well predict the overall measurement. The most frequently used specific measures in Australian SMEs are customer acceptance, customer satisfaction, product performance, and quality.     

New Product Strategy, Structure, Process, and Performance in the Telecommunications Industry

A continuous flow of new products is the lifeblood for firms that hope to remain competitive in high-technology industries such as telecommunications. Faced with rapidly shrinking product life cycles, these firms must aggressively pursue the quest for more effective new product development (NPD). Ongoing success in such industries is dependent on choosing the right mix of new product strategy, organizational structure, and NPD processes. Rather than considering the interrelationships among these success factors, however, most previous studies of NPD have examined these issues individually. This shortcoming is compounded by the fact that past studies of NPD have typically cut across industry lines. Gloria Barczak addresses these problems by proposing that a firm's choice of new product strategy, structure, and process are interrelated, as are the effects of those choices on NPD performance. Because these choices and their effects also may be dependent on the unique characteristics of the industry in which a firm competes, her study focuses exclusively on firms in a specific, high-technology industry, telecommunications. The study finds that no single NPD strategy, in and of itself, stands out as being better than any other for the telecommunications industry. Instead, it appears that a company's focus should be on ensuring the best possible fit between its chosen NPD strategy and its corporate goals and capabilities. In keeping with the current focus on cross-functional teams, the study results indicate that project teams and R&D teams are the most effective means for organizing NPD efforts in the telecommunications industry. Perhaps not surprisingly, R&D teams are more important for first-to-market firms than they are for fast followers and late entrants. An R&D team provides the technical skills necessary for playing the role of pioneer. Regardless of the firm's NPD strategy and structure, the presence of a product champion is an important element in the success of new product efforts. In an era of rapid, technological advances, idea generation and screening efforts are essential to the success of telecommunications firms. To ensure that they do not fall into the trap of introducing technology for technology's sake, pioneering and fast-follower firms in particular must recognize the importance of staying in touch with their markets. Such market-oriented activities as customer prototype testing and concept definition and testing can help these firms ensure that their technological developments are in line with customer needs and requirements.