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In online user innovation communities (UICs), firms adopt external innovations beyond their internal resources and capabilities. However, little is known about the influences of organizational adoption or detailed adoption patterns on subsequent user innovation. This study aims to examine the influence of organizational adoption, including its level and timing, on users' subsequent innovation behavior and performance.

This research model was validated using a secondary dataset of 17,661 user–innovation pairs from an online UIC. The effect of organizational adoption on users' subsequent innovation likelihood was measured by conducting a panel logistic regression. Furthermore, the effects of organizational adoption on subsequent innovation’ quality and homogeneity and those of the adoption level and timing on subsequent innovation likelihood were tested using Heckman's two-step approach.

The authors found that organizational adoption negatively affects the likelihood of subsequent innovation and its homogeneity but positively affects its quality. Moreover, more timely and lower-level adoption can increase the likelihood of users' subsequent innovation.

This study comprehensively explores organizational adoption's effects on users' subsequent innovation behavior and performance, contributing to the literature on UICs and user innovation adoption. It also provides valuable practical implications for firms on how to optimize their adoption decisions to maintain the quantity, quality, and diversity of user innovations.

The purpose of this paper is to analyse the likelihood of adoption of a recently designed Welfare Assessment System in agri‐food supply chains and the factors affecting the adoption decision. The application is carried out for pig and poultry chains.

This research consisted of two main components: interviews with retailers in pig and poultry supply chains in eight different EU countries to explore their perceptions towards the adoption possibilities of the welfare assessment system; and a conjoint analysis designed to evaluate the perceived adoption likelihood of the assessment system by different Standards Formulating Organisations (SFOs).

Stakeholders were found to be especially concerned about the costs of implementation of the system and how it could, or should, be merged with existing assurance schemes. Another conclusion of the study is that the presence of a strong third independent party supporting the implementation of the welfare assessment system would be the most important influence on the decision whether, or not, to adopt it.

This research evaluates the adoption possibilities of a novel Welfare Assessment System and presents the views of different supply chain stakeholders on an adoption of such a system. The main factors affecting the adoption decision are identified and analysed. Contrary to expectations, the costs of adoption of a new welfare assessment system were not considered to be the most important factor affecting the decision of supply chain stakeholders about the adoption of this new welfare system.

The purpose of this paper is to envisage human characteristics and resources as critical factors in the adoption process. While an individual’s intention to adopt knowledge is considered as the primary motivator in the adoption process, these characteristics, in the appropriate amount, can accelerate the recipients’ knowledge adoption behavior. In this study four personal characteristics, comprising shared language between a knowledge sender and a recipient, the recipient’s prior knowledge, the recipient’s enjoyment in adopting knowledge, and the recipient’s self-confidence have been chosen.

This research uses four human characteristics, consisting of shared language between knowledge senders and recipients, recipients’ prior knowledge, recipients’ enjoyment in knowledge adoption, and recipients’ self-confidence, to identify their optimal roles in the adoption process. Along with the intention to adopt new knowledge, each of these characteristics was tested in both forms. A survey was conducted with white collar workers. Nine models were designed and regression technique was used for analyzing data and interpreting outcomes of these models.

This study reveals that shared language between a knowledge sender and a recipient as well as a recipient’s self-confidence to adopt new knowledge directly enhances the individual’s likelihood to start learning. Shared language and self-confidence perform better as mutual predictors, while prior knowledge and enjoyment are the moderators.

The research outcome is beneficial in the designing of organizational business strategies. Shared language between an instructor and a learner increases likelihood to adopt knowledge, thus it is advantageous to arrange prerequisite mandatory courses in order to enhance a learner’s language proficiencies. Organizations can leverage their employees’ prior knowledge if it is perceived to be low. To do so, supervisors should link eagerness in learning and augmenting competencies to career advancement. Advice from, and rapport with a supervisor is essential. Effective strategies can improve the knowledge sharing goals, and in turn achieve business objectives as a whole.

The effects of social learning and network externalities in the diffusion of a new product imply that there should be local spillovers from existing owners to new adopters in a closely related community. Using the data from a unique household survey in rural China, this paper aims to examine the importance of local spillovers in the diffusion of two major durable goods, washing machine and refrigerator.

Based on a 1999 rural household survey of durable goods consumption conducted by the National Bureau of Statistics (NBS) of China, the authors examine the likelihood of rural households adopting a washing machine and a refrigerator during 1998-1999, respectively.

The estimation results indicate that a household is more likely to buy its first durable good in villages where a large share of households already own one. Further evidence suggests that these patterns are unlikely to be explained by unobserved local characteristics. When examined in more detail, the extent of local spillovers appears to be positively related to the household education level.

First, the study reveals the importance of local spillovers in the diffusion of these two durables. Specifically, 64 percent of washing machine adoptions during 1998-1999 are due to these spillovers. For refrigerator adoptions, the proportion is 55 percent. Second, to the authors' best knowledge, the authors are among the first to test and provide evidence on the interaction between education level and local spillovers based on the learning hypothesis.

We discuss adoption as a diverse family structure in America. Adoption has existed in some form throughout the history with the portrayal varying by historical epoch. Adoption has been both disparaged and idealized to perpetuate the interest of elite players. This chapter discusses adoption in terms of the changing demographic which 21st century families face. In this manuscript, we first discuss the history of adoption in the United States including its impact as social control of premarital sex. Then the three players in the adoption triad are discussed and analyzed. Finally, we highlight how demographics of race, class, gender, and sexuality impact the adoption experience by 21st century families. Specifically, we explore the recent National Survey of Adoptive Parents from the United States Center for Disease Control and look at the modern adoption experience

Reverse factoring (RF)–a form of supply chain finance (SCF)–is widely recognised as a win-win for both buyers and suppliers. Still, there is evidence that suppliers are often hesitant to join RF programmes initiated by their buyers. This study advances our understanding of how suppliers assess the importance of various attributes of a buyer's offer to join RF and discusses the role of programme configuration and digital technology in overcoming impediments to RF adoption.

Using a choice-based conjoint experimental design validated by experts, we isolate and manipulate the main attributes of a RF programme offer. This enables us to estimate the attributes' importance and to examine suppliers' trade-off behaviour. The authors complement the experimental study with content analysis of respondents' comments.

This study reveals the importance of behavioural considerations in RF adoption. The main findings are (1) suppliers are willing to reject offers that they perceive to be unfair even if these offers benefit them financially, (2) suppliers are willing to trade-off their financial benefit for non-financial reasons–most notably attributes that relate to trustworthiness of the buyer–and (3) suppliers expect technologies to increase transparency and reduce variability in trade processes.

Non-financial attributes that influence supplier perception need to be considered in the programme configuration. Technologies that reduce information asymmetry, increase trust and transparency, increase the speed of execution and reduce process inefficiencies will have a positive impact on RF offer acceptance.

This research opens new lines of inquiry on the role of digital technologies in influencing behavioural operations management specifically suppliers' adoption of digital SCF solutions.

The purpose of this study is to determine which factors affect virtual reality (VR) adoption by sports fans. Second, this paper seeks to evaluate consumer expectations of experience as related to introduction of VR. Based on the technology acceptance model, modified for the purpose of this study, and expectancy value theory, it was hypothesized that the frequency of sports-related information consumption, via different media channels, the expected improvement in the consumption of sports related information after adoption and attitude toward VR positively affect the likelihood of adoption.

The study relied on a quantitative questionnaire design method embedded in Qualtrics online survey tool. In addition, participants were exposed to a 75-s video about VR.

This study found that attitude toward VR, frequency of sports-related information consumption and expected improvements to information consumption after technology introduction positively affect adoption. The findings encourage adoption of a new channel, as it is likely to improve sports fan experiences related to information seeking and sports service consumption.

This study attempted to explore a relatively untapped area of research in VR usage particularly focusing on sports consumers. Most importantly, this applied study explored whether fans are willing to adopt VR, a relatively new technology that may have a high impact on the sports industry. Finally, this study relied on the modified technology adoption model and attempted to minimize its shortcomings. With that, this study should be viewed as beneficial to both theory and practice.

The widespread adoption of online purchasing has prompted increasing concerns about product safety, and regulators are beginning to hold e-commerce sites accountable for dangerous product defects. For online consumers, understanding the many inherent safety risks among the extensive array of products they browse is a formidable task. The authors attempt to address this problem via a client-side software artifact that warns shoppers about potential product safety hazards at the point of sale.

In this study, the authors built four candidate designs and assessed their effectiveness by means of a large randomized controlled experiment (n = 466). The authors define effectiveness as significant changes in dependent variables associated with health behaviors and technology adoption.

The authors find that all of the designs score high on adoption likelihood, that designs incorporating highlighting and scoring are better at increasing safety knowledge and that simpler designs are better at enhancing safety awareness.

These findings will inform the design of safety information dissemination systems and open new areas of safety awareness enhancement research. More generally, the authors introduce a novel method of testing text visualization variations and their impact on behavioral decisions.

The purpose of this paper is to examine the impact of agricultural cooperative membership on farmers’ decisions to adopt integrated pest management (IPM) technology and to estimate the impact of IPM adoption on farm economic performance.

An endogenous switching probit model that addresses the sample selection bias issue arising from both observed and unobserved factors is used to estimate the survey data from a sample of 481 apple households in China. A treatment effects model is employed to estimate the impact of IPM adoption on apple yields, net returns and agricultural income. In order to address the potential endogeneity associated with off-farm work variable in estimating both cooperative membership choice specification and IPM adoption specifications, a control function approach is used.

The empirical results show that cooperative membership exerts a positive and significant impact on the adoption of IPM technology. In particular, farmers’ IPM adoption decision is significantly associated with household and farm-level characteristics (e.g. education, farm size and price knowledge). IPM adoption has a positive and statistically significant impact on apple yields, net returns and agricultural income.

The findings indicate that agricultural cooperatives can be a transmission route in the efforts to proliferate the adoption and diffusion of IPM technology, and increased IPM adoption tends to improve the economic performance of farm households.

Despite the widespread evidence of health and environmental benefits associated with IPM technology, the adoption rate of this technology remains significantly low. This paper provides a first attempt by investigating to what extent and how agricultural cooperative membership affects IPM adoption and how IPM adoption influences farm economic performance.

This analysis investigates the micro-dynamics of organizational decision-making by exploring connections between institutional theory, on the one hand, and both social psychological research on conformity and recent work in economics on herd behavior and information cascades, on the other hand. The authors draw attention to the differences between normative and informational conformity as distinct motivational drivers of adoption behaviors by exploring their differential effects on the post-adoption outcomes of decoupling (e.g., Westphal & Zajac, 1994), customization (e.g., Fiss, Kennedy, & Davis, 2012), and abandonment (e.g., Ahmadjian & Robinson, 2001). The authors conclude that normative conformity leads to certain post-adoption outcomes while informational conformity is associated with others.