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This research aims to address how a firm can mobilise resources through interfirm relationships to bridge technological discontinuities.

This research adopts a processual single case study to undertake an empirical investigation from the perspective of a technology-bundled net as the research boundary.

This research produces three key findings. First, mobilising resources across firm boundaries to create an adequate bundling of product, process and marketing technologies is the cornerstone of bridging technological discontinuities. Second, resource mobilisation between firms in the transition to a new technological trajectory is affected by the sediments accrued in the existing (old) trajectory. Third, technological discontinuities may be competence-enhancing, and their radical effects may originate from non-technical causes.

This paper contributes to the research of radical innovation from an interaction and networks perspective and also by focusing on resource mobilisation taking place in the transition from an existing technological trajectory to a new one. In particular, this paper takes into account the relatedness of resources and the influences of past interaction underpinning an old trajectory in the bridging of technological discontinuities.

Employee voice can improve organizational and individual performance. The purpose of this paper is to consider individuals’ evaluations of various features of their work situations. In particular, emotional exhaustion mediates the influence of facades of conformity on employee voice behavior and job satisfaction. This study examines a model in which facades of conformity negatively affects employee voice and job satisfaction through emotional exhaustion.

A total of 401 employer–employee dyads from a large manufacturing company and public organizations in Taiwan were surveyed. Two-wave data demonstrated a significant positive relationship between facades of conformity and its outcomes, mediated by emotional exhaustion.

The results reveal that facades of conformity relates to employee voice and job satisfaction. Additionally, emotional exhaustion is an important mechanism in the relationships between facades of conformity and employee voice and facades of conformity and job satisfaction.

Although this study obtained data from employer–employee dyads, practical constraints prevented complete consideration of issues in the work domain, such as colleagues, which might influence employees’ voice and job satisfaction.

Employee who exhibit facades of conformity in an organization may work smoothly for short periods of time, the emotional response triggered by the conflict between their external behavior and their inner values can further reduce their voice behavior and thus affect the organization’s overall performance voice refers to an employee providing challenging advice to contribute to the success of an organization.

The findings have implications for the understanding of employees’ conditions and its associations with social issues in the workplace.

The purpose of this paper is to address the research question of how human actors and technology interact together in practices in the context of a sharing economy. The theoretical foundation of this paper is based on the existing literature about the sharing economy and studies that have been carried out examining value co-creation and sociomateriality.

This paper adopts a qualitative case study method for the empirical investigation. Using theoretical sampling, Xbed, an internet, unmanned and self-service hotel platform based in Guangzhou, China, was chosen for the empirical investigation. The case was built on multiple sources of data, including archival materials, on-site fieldwork and in-depth interviews. Then, the case was interpreted based on a number of theoretical concepts, with a particular emphasis on the sociomaterial perspective.

This paper shows how human actors and technology interact with one another in a number of interrelated ways, which collectively result in the value co-creation necessary for creating a sharing economy. The authors have found that various forms of sociomateriality (the intersection between technology, work and organization) play a key role in co-creation and that interactions between these sociomaterial assemblages (assemblage-to-assemblage (A2A)) drive the development of a sharing economy. These sociomaterial assemblages have dynamic and evolving characteristics.

The authors argue that the key to the success of a sharing economy lies in how to engage participating actors with material entities (e.g. technology applications) to form action-enabling sociomaterial assemblages, as well as in determining how these assemblages can be systematically arranged to collectively form a larger assemblage. We suggest that managers need to conceive how relations between the social and the material realms can be structured by adopting a service logic that aims to help the beneficiary function better. The authors also suggest that managers have to consider what assemblages are necessary and how they are connected, to construct a full access-based service.

This paper conceptualizes the sharing economy as a system of value co-creation practices and empirically examines such practices from a sociomaterial perspective. This paper adopts the concept of sociomaterial assemblages to investigate sharing practices, through which the knowledge of the role of technology in the development of a sharing economy is enhanced. This paper also expands the knowledge of service-dominant logic by using a microfoundation perspective to look at the value co-creation that emerges as a result of the interaction between sociomaterial assemblages. These assemblages also act as constitutive elements of a service ecosystem.

This study aims to explore the process of the arrival of technological change and how the learning process impacts on network evolution.

The paper uses longitudinal, case‐based qualitative research to illustrate the network dynamics underpinning two technological generations.

The arrival of technological change not only is a pivotal event concerning a firm's long‐term competitiveness, but also challenges the firm's ability to manage its portfolio of relationships and balance its position in the evolution of business nets. Such an arrival process can be viewed as a learning process, where the firm learns how to devise appropriate strategies based on its inter‐organizational interaction history to cope with the rapidly changing environment, for example technological changes.

The findings illustrate the value of analyzing technological change from a network perspective. They illustrate the complexity of the process and show that, despite cooperation and collaboration, relationships are constrained and/or enabled by organisational learning. Relationships are determined by a plethora of issues such as strategic fit, functional fit and time fit.

The purpose of this paper is to explore the effects of consumer role (involved vs observing) on consumer responses in the context of online group buying (OGB) service failures.

A scenario simulation method with a 2×3 factorial design was used to investigate the impact of consumer role (i.e. involved consumers and observing consumers) on consumer responses (i.e. perceived quality, negative electronic word-of-mouth (eWOM), and switching intention). The moderating role of seller offering type (i.e. physical products, true services, and pseudo services) on the relationship between the consumer role and responses was also tested.

The differences in perceived quality, negative eWOM, and switching intention between involved consumers and observing consumers were significant. Further, seller offering type moderated the relationship between consumer role and consumer response.

These findings provide several important theoretical and practical implications in regard to OGB service failure and recovery.

This study enriches OGB and service failure literature by a pioneering investigation of how consumer roles respond to OGB service failures and how different seller offering types influence the relationship between consumer role and consumer response. The results will help service providers of OGB benefit from enhancing their service recovery strategies to cope with OGB service failures.

Using social exchange theory as a contextual backdrop, this study aims to better understand how corporate social responsibility (CSR) can contribute to customer retention (CR). A conceptual framework is developed to illustrate the proposed relationship and the influence of mediating factors. The telecommunication industry in Ghana is used to operationalize the conceptual framework.

Qualitative and quantitative data were collected through face-to-face interviews with CSR managers and through a structured questionnaire. The data were analyzed using qualitative analysis and structural equation modeling.

Findings suggest that CSR, corporate image and service quality have significant relationships with both corporate image and CR. Corporate image also mediates the relationship between CSR, customer value and service quality with that of CR. The authors also find that CSR strengthens the relationship between customer value and service quality with that of corporate image, which subsequently leads to enhanced CR.

Thus far, the mediating variables that help explain and predict the relationship between CSR activities and CR have been overlooked in the extant literature. The results of this study will help fill a critical knowledge gap in marketing and CSR literature.

Based on the literature on technology readiness, online learning readiness, and mobile computer anxiety, the purpose of this paper is to develop and validate a mobile learning readiness (MLR) scale which can be used to assess individuals’ readiness to embrace m-learning systems.

Based on previous literature, this study conceptualizes the construct of MLR and generates an initial 55-item MLR scale. A total of 319 responses are collected from a three-month internet-based survey. Based on the sample data, this study provides an empirical validation of the MLR construct and its underlying dimensionality, and develops a generic MLR scale with desirable psychometric properties, including reliability, content validity, criterion-related validity, convergent validity, discriminant validity, and nomological validity.

This study develops and validates a 19-item MLR scale with three dimensions (i.e. m-learning self-efficacy, optimism, and self-directed learning). A tentative norm of the MLR scale is presented, and the scale’s theoretical and practical applications are also discussed.

This study is a pioneering effort to develop and validate a MLR scale. The results of this study are helpful to researchers in building m-learning theories and to educators in assessing and promoting individuals’ acceptance of m-learning systems.

The purpose of this paper is to develop and validate a multi-dimensional instrument to measure e-learning blog satisfaction (ELBS).

This study introduces and defines the construct of ELBS, provides an empirical validation of the construct and its underlying dimensionality, develops a generic ELBS instrument with desirable psychometric properties, and investigates the instrument's theoretical and practical applications.

After analyzing data from a calibration sample (n=238) and a validation sample (n=226), this study proposes a five-factor, 20-item ELBS instrument.

This empirically validated instrument will be useful to researchers in terms of developing and testing blog-based learning theories, as well as to educators in terms of understanding students’ ELBS and promoting the use of blog-based learning systems.

This study is a pioneering effort to develop and validate a multi-dimensional instrument to measure ELBS.

The purpose of this paper is to establish a reference model that will allow us to understand the factors that influence the omnichannel management of an organization in a business-to-business (B2B) context.

In building the model, a partial least squares structural equation modeling approach was followed. More than 1,000 executives with a C-level profile (chief executive officer, chief marketing officer or chief digital officer), from manufacturers and wholesalers, in various industries worldwide were contacted. The final sample consisted of 124 C-level executives in multinational B2B companies from 35 countries worldwide.

The principal finding is that optimal omnichannel management must involve a customer-centric proposition forming the basis for individualized marketing that tailors the company’s portfolio of solutions to suit each client. To ensure this, customer knowledge at each touchpoint is essential. The results show that the main predictor of B2B omnichannel management is sales and marketing, even above channels. The principal conclusions are that the model shows that good omnichannel performance is measured by the performance of the industrial buyer. Loyalty and experience are primary measures of this customer’s performance.

Research into omnichannel management in the B2B field is scarce, especially concerning the creation of models for decision-making.