Mobile technology usage and B2B market performance under mandatory adoption

This paper investigates the relationship between mandatory adoption of mobile information technology and market performance in the business-to-business (B2B) setting. This study presents and tests the B2B technology satisfaction model (TSM), including perceived loss of control as the mandatory technology acceptance-specific variable. The results of this study reveal that integrating perceived loss of control with user satisfaction and the TAM (technology acceptance model) in a single model can better explain the B2B market performance model. The empirical results suggest that perceived loss of control has a negative effect on user satisfaction and perceived market performance is influenced by user satisfaction and perceived usefulness. Managerial implications of the study are discussed.     

Why do incumbents sometimes succeed? Investigating the role of interorganizational trust on the adoption of disruptive technology

Previous research has noted that new firms traditionally have more success with the diffusion of disruptive technologies than do incumbent firms. For the development of disruptive technologies, newer firms appear to be advantageous as they are generally more flexible in resource allocation. However, exceptions can be found in various industries in which incumbents have been able to succeed with their own disruptive technologies. One possible explanation for these exceptions is the influence of pre-existing levels of trust already developed between incumbents and potential buyers of disruptive technologies. In order to explore this further, this article provides a link between interorganizational trust and the adoption of new, disruptive technologies in industrial markets. By surveying 134 current and potential Software-as-a-Service (SaaS) users, we show how pre-existing, interorganizational trust impacts the perceptions a potential buyer has towards a disruptive technology and how these perceptions influence a buyers' intention to adopt a new, disruptive technology. Beyond trust, we use perceived ease of use, perceived value, perceived usefulness and financial stability to create a predictive model for intention to adopt. Holistically, this article provides insight on how buyer–supplier relationships generally favor incumbent firms and can impact a buyers' perception of a new, disruptive technology.     

Determinants of social media adoption by B2B organizations

This study contributes to the current dearth of knowledge on the potential of social media as a marketing tool in industrial settings, by focusing on factors that determine social media adoption by B2B organizations. A conceptual model, which draws on the technology acceptance model and resource-based theory, is developed and tested using quantitative data from B2B organizations in the UK. Findings suggest that perceived usefulness of social media within B2B organizational contexts is determined by image, perceived ease of use and perceived barriers. Additionally, the results show that adoption of social media is significantly affected by organizational innovativeness and perceived usefulness. The moderating role of organizational innovativeness is also tested but no support is found. The findings of the study are further validated via nine qualitative interviews with B2B senior managers, yielding additional interesting and in-depth insights into the drivers of social media adoption by B2B organizations.     

Exploring the impact of trust and relational embeddedness in e-marketplaces: An empirical study in Taiwan

B2B transaction is a rapid growth section within e-commerce. However, despite the increase in the number of B2B transactions, only a few e-marketplaces have successfully attracted a large number of buyers and sellers. The purpose of this study is to investigate the underpinning forces that influence the organizational decision to adopt e-marketplaces and to improve competitiveness through continuous participation in e-marketplaces. This study applies the technology acceptance model, relational embeddedness, and the trust theory to explore the impact of perceived ease of use, perceived usefulness, and relational embeddedness on trust associated with e-marketplace providers. This study further tests the impact of relational embeddedness and trust on relationship performance in the context of e-marketplaces. Based on 284 active buyers and sellers in well-known public e-marketplaces, the empirical findings suggest that perceived ease of use positively influences perceived usefulness of e-marketplaces; perceived ease of use influences user trust of e-marketplaces via perceived usefulness; and relational embeddedness leads to enhanced trust in e-marketplace providers, which subsequently leads to better relationship performance. Both relational embeddedness and trust also influence relationship performance directly. This research reveals the importance of perceived usefulness and relational embeddedness on trust associated with e-marketplace providers.     

Exploring the mass adoption of third-generation (3G) mobile phones in Taiwan

Given that no all new mobile telecommunications technology are accepted by the mass market, this study aims to understand the mass adoption of third-generation (3G) mobile phones that is hypothesized to comprise three consumer perceptions: new technology, new service, and new handset. Based on the theoretical framework of a consumer's decision making process, an empirical study of the mass adoption of 3G mobile phones in Taiwan was conducted. This study demonstrated that perceived utility of a new mobile service was a key factor that resulted in mass adoption. Further, it was found that perceived utility of a new handset directly stimulate consumers to purchase 3G mobile phones. Perceived risk and perceived expense are not negatively correlated with intentions as hypothesized. Moreover, perceived no need was another key factor that inhibited adoption and purchase intention.     

Commercial exploitation of new technologies arising from university research: start-ups and markets for technology

The creation of start-up firms is an important method of commercializing new technologies arising from R&D at universities and other research institutions. Most research into start-ups presumes that these firms develop products or services. However, start-ups may operate through markets for technology by selling or licensing rights to use their technology to other firms – typically established firms – who develop and sell new products or services based on the technology. In this study of 57 public start-up firms created to commercialize the results of university research, we find evidence that (1) operating through markets for technology is a common approach to commercialization, (2) start-ups that operate in markets for technology can be effectively distinguished in practice from start-ups operating through product markets, and (3) there are substantive differences in the business activities of firms depending on whether they operate through product markets or markets for technology.     

The Effect of Sales Force Adoption on New Product Selling Performance

Although several studies have suggested that the sales force is a major contributing factor to new product success, few studies have focused on new product adoption by the sales force, particularly with respect to its relationship with selling performance. The present article presents empirical evidence on the impact of sales force adoption on selling performance. We defined sales force adoption as the combination of the degree to which salespeople accept and internalize the goals of the new product (i.e., commitment) and the extent to which they work hard to achieve those goals (i.e., effort). It was hypothesized that the impact of sales force adoption on selling performance will be contingent on supervisory factors (sales controls, internal marketing of the new product, training, trust, and supervisor's field attention), and market volatility. Therefore, this article also provides evidence of the conditions under which sales force adoption of a new product is more or less effective in engendering successful selling performance. The hypothesized relationships were tested with data provided by 97 high technology firms from The Netherlands. The results show that sales force adoption is positively related to selling performance. This finding suggests that salespeople who simultaneously exhibit commitment and effort will achieve higher levels of new product selling performance. Outcome based control, internal marketing and market volatility are also positively related to new product selling performance. The effect of sales force adoption on selling performance is stronger where outcome based control is used and where the firm provides information on the background of the new product to salespeople through internal marketing. Training and field attention weaken the adoption‐performance linkage. These findings may indicate that salespeople in The Netherlands interpret training as “micromanaging” and field attention as “looking over their shoulder.” We conclude with implications of our study for research and managerial practice.     

A comparative study of the adoption and implementation of target costing in the UK, Australia and New Zealand

Most of the studies on target costing (TC) only provide insight into the adoption and perceived benefits of TC, and do not address the levels of implementation of the technique. These studies also assume that TC is only relevant to manufacturing firms and therefore do not investigate the adoption of this technique in service firms, and consequently exclude service firms from their surveys and analysis. Furthermore, most studies do not examine factors influencing the adoption of TC systems. Contributing to these gaps in the literature, this paper reports the results of a survey among CIMA-qualified management accountants working in manufacturing and service firms in the UK, Australia and New Zealand on the adoption and implementation of TC. The study examines the importance of attributes of TC (namely relative advantage, compatibility, ease of use, result demonstrability, trialability) for decision makers to adopt and implement such cost and management accounting innovation. The survey indicates that TC is equally prevalent among manufacturing and service firms while in terms of the levels of implementation there is a significant difference between manufacturing and service firms. The study shows that there is a growing interest in the examination of all cost-reducing strategies at the planning stage and adoption of value engineering to incorporate customer requirements rather than focusing on the adoption of cost-cutting strategies at the production stage.     

What makes consumers use VoIP over mobile phones? Free riding or consumerization of new service

Consumer acceptance of technological innovations is crucial to marketing strategy and policy development. This study analyzes consumer behaviors in mobile voice over Internet protocol (mVoIP), focusing on the antecedents of consumers' intentions. Using a context-specific extension of the Technology Acceptance Model, mVoIP acceptance was investigated based on the salient belief of perceived usefulness, perceived ease of use, and facilitating factors. The results show that quality factors of mVoIP significantly influence the usefulness and ease of use, which subsequently affect the adoption of the technology. Call and service quality were found to be significant factors, followed by mobility and coverage. The policy and managerial implications of mVoIP are discussed based on the model. In conclusion, this study provides in-depth analysis and heuristic data on the consumer drivers, market dynamics, and policy implication within the mVoIP ecosystem.     

Selling Value in Business Markets: Individual and Organizational Factors for Turning the Idea into Action

Modern business-to-business firms focus increasingly on understanding and selling value, as a strategic priority and to achieve marketing and sales excellence. Yet many companies struggle to implement their value orientation, without sufficient knowledge of how to translate it into sales practice. This study therefore examines value-based selling (VBS) as an implementation of value-based marketing at the sales force level. The proposed motivation–opportunity–ability framework integrates individual- and organizational-level antecedents, outcomes, and moderators in an attempt to explain the adoption and performance outcomes of VBS in business markets. Multilevel path modeling with cross-sectional survey data from 944 salespeople and managers in 43 sales organizations confirms the prediction that VBS enhances salespeople's performance, beyond that achieved with established selling approaches. However, firms need specific types of salespeople and dedicated organizational support for effective VBS implementation. A salesperson's learning orientation and networking competencies emerge as critical antecedents. Organizational value assessment tools can compensate for individual salespeople's lack of learning orientation; reference marketing efforts also strengthen the performance outcomes of VBS. Finally, VBS is most effective in organizational settings where perceived customers value demandingness is lower, enabling salespeople to use VBS as a proactive selling approach.     

Assessment of mobile technology use in the emerging market: Analyzing intention to use m-payment services in India

The potential use of mobile payment is enormous and it is receiving attention as an alternative mode of payment worldwide. The present study develops a conceptual model to analyze the intention to use mobile payment services in the emerging market. Data was collected in India, one of the biggest emerging market, through a survey. The research hypotheses were tested using structural equation modeling approach. The results offer support that innovativeness, stress and perceived ease of use influence the perceived usefulness of mobile payment services. Subsequently, perceived usefulness, perceived satisfaction, perceived risk and perceived trust influence the intention to use mobile payment services. The findings provide alternatives for companies to consolidate this technology-based payment service.     

Mobile targeting in industrial marketing: Connecting with the right businesses

Although the existing literature has acknowledged the importance of mobile marketing, few scholars have examined the efficacy of mobile targeting. This paper contributes to the burgeoning literature on mobile targeting by investigating the effects of customer mobile habits and social capital on firm sales. Leveraging unique customer mobile browsing data from a major telecom service provider in China, we use a Bayesian SEM (structural equation modeling) approach to show that customer mobile habits and social capital exert significant influences on customers' purchase intentions. Specifically, customers who engage in more hedonic mobile behaviors, such as social networking, video browsing, and gaming are associated with a higher probability of purchasing, controlling for the usage of communications apps including messaging and emailing apps, and the usage of functional apps, such as maps, living services, and app market apps. Additionally, our research results reveal a significant positive effect of social capital on firms' sales performance. These findings offer important insights that are often missing from organizational targeting campaign designs in terms of targeting both the right customers and the right business alliance partners and enable a better understanding of managerial and decision-making implications in the context of the B2B market in general.     

Incorporating Network Externalities into the Technology Acceptance Model*

Research on network externalities has identified a number of product categories in which the market performance of an innovation (e.g., unit sales and revenues) is an increasing function of that innovation's installed base and the availability of complementary products. Innovation scholars have attributed these findings to the positive impact of network externality variables on consumer perceptions of innovation attributes. This paper provides the first empirical examination of these perceptual linkages by extending the Technology Acceptance Model to include consumer perceptions of network externality variables. The authors hypothesize that, when direct and indirect network externalities exist, consumer purchase intentions and consumer perceptions of an innovation's usefulness and ease of use will positively reflect perceptions of installed base size and the availability of complementary products. To test this reasoning, the authors developed new measures of consumer perceptions of network externality variables. These measures were incorporated into a survey that explored the attitudes in Japan of potential adopters toward digital music (DM) players at an early stage in the product life cycle. Findings reveal a direct positive relationship between ease of use and the perceived availability of digital music. The authors also find positive and significant relationships between both purchase intention and perceived usefulness and (1) the perceived size of the DM player installed base and (2) the perceived availability of digital music. An application of the Baron‐Kenny test for mediating variables reveals that (1) ease of use partially mediates the relationship between the perceived availability of digital music and perceived usefulness and (2) perceived usefulness partially mediates the relationship between the perceived availability of digital music and purchase intention. The research has important implications for future research on new product adoption and for the management of innovations that involve network externalities. The conceptual model provides a framework for testing alternative explanations of observed variations in the impact of network externalities within and across product categories. The empirical analysis provides guidance for managers who wish to manage the impact of network externalities on adoption. In addition to stimulating the size of the installed base and the variety of complementary products, executives must also manage consumer awareness of network externality variables and consumer understanding of the relationship between those variables and innovation attributes. Finally, traditional adoption models link consumer adoption decisions to perceptions of innovation attributes. The findings provided here imply that predictive accuracy of these models can be improved by including consumer perceptions of network externality variables.     

Institutional forces and customer participation in new product development: A Yin-Yang perspective

Despite the growing research interest in customer participation, few studies explore how institutional forces affect a firm's decision to engage customers in their new product development (NPD). Building on the Yin-Yang perspective, we investigate how distinct institutional characteristics of emerging markets, namely legal inadequacy and dysfunctional competition, as perceived by managers, have differential relationships with customer participation in firms' NPD process, which in turn relate to new product performance. Using a sample of 238 high-tech firms in China, we find that perceived legal inadequacy negatively relates to customer participation, whereas perceived dysfunctional competition is positively associated with customer participation. Further, the negative relationship between perceived legal inadequacy and customer participation is more salient for domestic firms than foreign firms, and the positive association between perceived dysfunctional competition and customer participation is weaker when the focal firm has longer partner experience. In highlighting the significance of institutional drivers, our study extends the literature by developing a holistic and dualistic explanation of customer participation in the B2B marketing context.     

Exploring Adaptivity in Service Development: The Case of Mobile Platforms

Together with the developing technologies of a fast‐evolving Web environment, computers, and handheld devices, human–computer interaction is gaining more importance. User interface, as the interactive layer between user and information systems, has a great role in system adoption. Based on a technology acceptance model, acceptance of a system can be explained as a function of perceived usefulness (PU) and perceived ease of use (PEOU). Because several external variables have impact on PU and PEOU, the content and interface design of every single application should be addressed accordingly in a way that enhances the consumer's attitude about using the system by considering the impact of external variables through system usage. The objective of this study was to uncover potential external variables that may influence PEOU and PU, and indirectly influence behavioral attitude in mobile service acceptance and to explore the effects of those variables, primarily adaptivity and the relationships of all the variables among each other, through the limited interface of a mobile platform. Thus, developers will be able to relate the tuning of product features to the adoption of the products they are developing based on a platform.     

Effectual and causal reasoning in the adoption of marketing automation

Research on technology adoption in organizations traditionally assumes that these organizations follow rational, strategic and planned adoption processes. However, a gradually emerging view is that the adoption of technology is also characterized by entrepreneurial or effectual reasoning, primarily due to technological and market uncertainties that call for more agile and experimental approaches at the digital age. Drawing on effectuation theory, we develop a research framework to examine the managerial reasoning during the adoption of marketing automation technology. Based on the results of a comparative multiple-case study on four large-sized industrial firms, we develop a maturity model of marketing automation adoption and show that even large-sized B2B companies apply effectual reasoning, which problematizes the rationality assumption in the technology adoption literature. Second, we show that during the adoption process, organizations' dominant reasoning mode follows an iterative pattern in which the adopting organization moves back and forth between effectuation and causation. Finally, we identify five key domains of marketing automation (customer knowledge, information systems infrastructure, analytics, interdepartmental dynamics and change management) and describe their gradual evolution at different stages of the adoption process.     

Technology Adoption in Online Social Networks

With the advances of information technology, online social networks are becoming increasingly important venues for technology adoption. However, although the dynamics of technology adoption in real world social networks have been well documented, technology adoption in online social networks remains relatively under‐explored. This study identifies the differences between online and offline social networks and proposes a framework to investigate the dynamics of technology adoption in online social networks. To illustrate the proposed research framework, this study employs behavior‐link panel data obtained from an open source software (OSS) development network to examine how online social networks affect the adoption of Subversion, the latest OSS version control technology. Based on social network theory, co‐membership is used to construct online social networks within the OSS development network. Methodologically, this study takes advantage of the panel dataset and addresses the issues of simultaneity and individual heterogeneity that frequently confound the relationship between network structure and adoption decision, and as a result it demonstrates a more compelling relationship between social networks and technology adoption. The results of this study reveal that social networks are major conduits for technology adoption in an online social network in terms of imitation, leadership, lock‐in, similarity, recency, and team size effects. In online social networks, one's decision to adopt a new technology is strongly influenced by the actions of the connected others. Project leaders have a stronger influence over other members in technology adoption decision making, even in informal virtual teams where traditional governance structures do not apply. Older projects exhibit stronger inertia and thus lack innovativeness. Similarities among projects facilitate faster adoption, and the effect of leadership attenuates in the networks with increasing project dissimilarity. Recent adoptions of technology within the networks, rather than more distant ones, have a stronger impact on subsequent adoption, implying the salience of memory over usage confidence, and increased size of a project team accelerates the rate of adoption. These results help in understanding the dynamics of technology adoption in online social networks, and provide useful guidelines for firms to promote technology and product innovation.     

The many shades of ‘openness’: an application of item response theory to open innovation research

This study addresses one of the most basic research questions investigated in the Open Innovation (OI) literature: how open are firms? This question has remained partially unanswered given the challenges encountered by empirical research in assessing the relevance of specific OI practices within the OI model, as well as the types of activities perceived by managers as OI benefits or concerns. To provide an answer to this question, we suggest a framework using Item Response Theory to improve over current measures of firms' openness and test it on a sample of 383 technology‐based SMEs. Our theoretical model conceives openness as an instance of how firms make decisions regarding the adoption of different OI practices based on their evaluation of OI benefits and concerns. Focusing on the relationship between firm‐level differences in terms of openness and the types of OI practices adopted by these firms, we show that significantly different levels of ‘OI maturity’ are required to broaden the scope of external partnerships and to shift from non‐pecuniary OI modes (relation‐based approaches) toward pecuniary (transaction‐based) practices. Our results have relevant implications for the OI literature and provide new managerial insight into OI adoption.     

Factors Influencing the Adoption of Mass Customization: The Impact of Base Category Consumption Frequency and Need Satisfaction

Mass customization has received considerable interest among researchers. However, although many authors have analyzed this concept from different angles, the question of which factors can be used to spot customers most likely to adopt a mass‐customized product has not been answered to a satisfactory extent until now. This article explicitly deals with this question by focusing on factors related to the base category, which is defined as the group of all standardized products within the same product category as the mass‐customized product under investigation. Specifically, this article investigates the influence of a customer's base category consumption frequency and need satisfaction on the decision to adopt a mass‐customized product within this base category. A set of competing hypotheses regarding these influences is developed and subsequently evaluated by a combination of partial least squares and latent class analysis. This is done by using a sample of 2,114 customers surveyed regarding their adoption of an individualized printed newspaper. The results generated are threefold: First, it is shown that there is a significant direct influence of base category consumption frequency and need satisfaction on the behavioral intention to adopt. The more frequently a subject consumes products out of the base category or the more satisfied his or her needs are due to this consumption, the higher the behavioral intention to adopt a mass‐customized product within this base category. Second, the article provides an indication that base category consumption frequency has a significant moderating effect when investigating the behavioral intention to adopt in the context of the theory of reasoned action and the technology acceptance model. The more frequently a subject consumes products out of the base category, the more important will be the impact of perceived ease of use mediated by perceived usefulness. Finally, this article shows that different latent classes with respect to unobserved heterogeneity regarding the latent variables base category need satisfaction or dissatisfaction have significantly different adoption behaviors. Individuals who show a high level of need dissatisfaction are less interested in the ease of use of a mass‐customized product than its usefulness (i.e., increase in need satisfaction). On the other hand, subjects who have a high degree of base category need satisfaction base their adoption decision mainly on the ease of use of the mass‐customized product. These results are of managerial relevance regarding the prediction of market reactions and the understanding of the strategic use of product‐line extensions based on mass‐customized products. This work provides an indication that base category consumption frequency and need satisfaction positively influence the behavioral intention to adopt a mass‐customized product. Hence, mass customization can be seen as one way to deepen the relationship with existing clients.     

MVNO services: Policy implications for promoting MVNO diffusion

This study seeks to validate a comprehensive model of consumer acceptance in the context of MVNOs. While the MVNO business model has gained much popularity over the past few years, it shows a sign of drastic decrease. This study uses the unified theory of acceptance and the use of technology (UTAUT) model with constructs from the innovation diffusion theory (IDT) such as compatibility, relative advantage and social influence. Structural equation modeling is used to construct a predictive model of attitudes toward the MVNO services. While the model confirms the classical role of technology adoption factors (i.e., perceived usefulness and ease of use are key antecedents to consumers’ intention), the results also show that users’ intention and usage are influenced by IDT factors. The model brings together extant research on MVNO and provides an important cluster of antecedents to eventual technology acceptance via constructs of behavioral intention to use and to the actual MVNO usage. Policy implications of MVNO are discussed in terms of consumer adoption and market diffusion.