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Being innovative is important for non-profit sport organizations in order to meet the ever-changing and increasing societal needs. Understanding why and to what extent organizational innovativeness differs between non-profit sport organizations is, therefore, important to assess and increase their chances of survival. The purpose of this study is to compare the structural characteristics and attitudes of innovation attributes between three groups of sport federations (SFs).

An online self-assessment survey was sent to all recognized regional Belgian SFs (N = 156). Simultaneously, an observational desk research (i.e. media analysis) was carried out. Results from both data collection methods were combined to develop a composite organizational innovativeness-index, based on which the federations were then clustered in three distinct adopter groups.

Comparative statistics show that structural background characteristics generally are poor indicators for adopter categorization. In contrast, the attitudes about compatibility (i.e. the consistency of innovations with existing values) and complexity (i.e. the extent to which innovations are difficult to apprehend) seem the most important distinctive determinants for the different groups of SFs.

The study's contribution is twofold. First, it offers a methodological contribution with the development of an index, which enables the categorization of non-profit sport organizations according to their organizational innovativeness; thus, it provides a critical counter-argument to the importance of organizational structural background characteristics from previous studies. Second, the study's results may support non-profit sport organizations in improving their innovativeness, for instance by improving the perception of compatibility with innovation or by guiding policymakers in creating a more supportive environment for these organizations to do so.

The purpose of this paper is to examine the social and behavioral actions, activities and practices in order to group them together to create behavior‐based profiles that characterize the various stages of the innovation generation processes within organizations.

Qualitative data were collected from nine Australian companies from the biotechnology sector. Using the grounded theory approach to data analysis, labels from Rogers' adopter categorization model were used to broadly identify and classify typical actions, activities, practices and behaviors exhibited within organizations that can be described as being “innovator”, “early adopter”, “early majority”, “late majority” or “laggard” types. Further, Moore's metaphor of “chasm” was applied to explore the nature of difficulties that organizations face in converting innovative ideas into commercially successful products and services.

The use of the labels from the categories of the adopter categorization model enabled suitable behavior‐based profiles to be developed.

The use of the adopter categorization model provides a fuller and richer insight into the innovation generation process. The model can also be used to assess more holistically the viability of innovations as they progress from inception to commercialization.

This study aims to examine the diffusion pattern of International Financial Reporting Standards (IFRS) into the countries and identifies the channels of diffusion.

Data includes 98 countries that made a public commitment to IFRS adoption from 2000 to 2016. Adoptee countries are categorized based on Rogers’ adopter categorizations to understand country characteristics. Innovation diffusion models such as internal influence, external influence and bass diffusion that explain diffusion patterns are applied to the cumulative adoption of IFRS. Coefficients of internal and external diffusion are obtained using the models to explain the mode of diffusion pattern of IFRS. Further tests are done to identify the best model that explains IFRS diffusion.

Findings show that IFRS diffusion is a result of external influence through vertical communication from a centralized body (IASB) and internal influence due to imitation and interpersonal communication between countries. Imitation effect among the countries has a stronger effect on the IFRS adoption compared to the communication obtained from IASB.

Findings obtained can help standards-setting bodies, organizations and countries to understand the potential future of adopters and non-adopters. It facilitates the standard-setting bodies to manage IFRS diffusion by implementing measures to spread the word on the benefits of IFRS.

The study generates value by modeling a successive increase in the number of IFRS adoptee countries using empirical methods and identifies the reasons for the diffusion life cycle of IFRS.

Mobile coupons are a new form of marketing that is expected to grow in the near future. The purpose of this paper is to understand mobile coupon adoptions among US consumers. The study identifies adopter categories based on personal innovativeness and further investigates the characteristics that distinguish identified adopter categories.

Based on innovation diffusion theory and technology acceptance model, consumers are clustered to adopter categories. The distinctiveness of adopter categories in terms of perceived usefulness, perceived ease of use, attitude, behavioral intention, and actual use of mobile coupons were investigated. Determinants of adoption decision were compared among adopter categories. A cluster analysis, Kruskal‐Wallis tests, and regression analyses were performed.

An online survey of 611 US consumers confirmed the viability of consumer adopter categories. Perceived usefulness, attitudes and behavioral intentions were significantly different across adopter categories while perceived ease of use was not. Adopter categories have different antecedents that determine mobile coupon adoption.

The current study contributes to the literature of diffusion of innovation and consumer segmentation by identifying four consumer adopter groups with PIIT (Personal Innovativeness in the domain of Information Technology).

The study presented a snapshot of mobile coupon usage in the USA. By distinguishing the adopter categories and their characteristics, the study provides important practical implications for mobile marketers to tailor mobile marketing strategies to different adopter categories.

The current study fill the gap in the literature by investigating the current status of mobile coupon adoption in the USA, identifying adopter categories, and comparing the behaviors, beliefs, and attitudes related to mobile coupon adoption across the adopter categories.

While there is a plethora of literature examining the antecedents affecting technology adoption decision, there have been limited investigations into the various stages of technologies adoption by hoteliers. This paper aims to examine two established theoretical paradigms jointly, facilitating an understanding of not only the antecedents affecting technology adoption but also the hoteliers' intensity of technology adoption.

The development of Davis's Technology Acceptance Model (TAM) will be explored, from its adaptation of the Theory of Reasoned Action (TRA) to the Theory of Planned Behaviour (TPB). Following which, Roger's Diffusion of Innovation will be discussed and whether the concepts should jointly be explored so as to provide a more comprehensive elucidation of hoteliers' internet technologies adoption decisions.

The literature has corroborated that the TAM is effective in evaluating the concept of the user's perception of technology use by including the construct of internet applications' usefulness regardless of innovation intensity. Owing to the perpetual proliferation of internet technologies, the investigation of hoteliers' propensity to adopt internet technologies could be enhanced with the inclusion of the various levels of internet applications that are adopted. Rogers' diffusion of innovation paradigm helps to address this problem.

The concepts discussed here could help practitioners to become more aware of the factors that drive their internet technologies adoption. Academics could advance the paper's discussion of internet technologies adoption to other sectors of the tourism and hospitality industry.

The paper provides insight into the use of broader theories in understanding tourism and hospitality management phenomena. It is expected that academics would develop the discussed concepts further in order to create a wider awareness of how the industry responds to internet technologies at various stages.

The purpose of this study is to gain a better understanding of the conditions and motivations that influence teachers to adopt innovations.

Using Diffusion of Innovation theory (Rogers, 2003) and Self-Determination theory (Ryan and Deci, 2017), data from two surveys (n = 568; n = 108) and qualitative follow-up interviews of Early Adopter teachers (n = 16) were triangulated to discern relationships among their identification as Early Adopters, satisfaction of their basic psychological needs (BPN) and their implementation of an educational innovation.

Early Adopters had a positive and statistically significant relationship with the implementation of the innovation. Satisfaction of teachers’ BPN had the largest impact on innovation.

The findings are preliminary and based on a small sample size of teachers. Reliability of the measure of BPN was not as high as the standard, but it did have the largest impact on implementation. Additional studies should explore the connections among Early Adopter teacher motivation, leadership and the satisfaction of their BPN.

School leaders should leverage the influence of Early Adopters to support innovation, and they should provide additional time, training and resources to supports teachers’ BPN.

This study examines how to identify and support Early Adopter teachers as enablers of change within schools. We know of no other studies that have used both Diffusion of Innovation theory and Self-Determination theory to understand the motivations of Early Adopter teachers.

The purpose of this paper is to further the understanding of innovation resistance by dividing internet banking non‐adopters into three groups based on their intentions to use the innovation. Thereafter, the aim is to identify how the resistance differs in these customer groups.

This study identifies three groups of internet banking non‐adopters, namely postponers, opponents and rejectors. The data were collected by conducting an extensive postal survey among the retail banking customers in Finland who had not adopted internet banking. The measurement development was based on consumer resistance theory and the earlier literature on internet banking. Principal component analysis was used to classify the resistance items into five adoption barriers derived from the earlier literature. Thereafter, analysis of variance was used to analyse the statistical differences in resistance to internet banking between the three groups.

Significant differences were identified between the groups explored. The resistance of the rejectors is much more intense and diverse than that of the opponents, while the postponers show only slight resistance. The results also indicate that psychological barriers are even higher determinants of resistance than usage and value, which are constructs related to ease‐of‐use and usefulness determining acceptance in the traditional technology acceptance model. Moreover, the findings highlight the role of self‐efficacy in bank customers' risk perceptions to internet banking.

This study provides further understanding of what inhibits internet banking adoption by comparing three non‐adopter groups with respect to their resistance to internet banking. It also has implications for management in overcoming non‐adopters' resistance to the innovation.

In the diffusion of innovation framework, this study identified three distinct segments of golf product consumers using a cluster analysis and explored potential differences between segments on communication behaviours related to innovativeness. Results indicate that the members of each cluster show varying degrees of innovativeness for new golf products. Each cluster also was further distinguished based upon communication behaviours.

The purposes of this research were to compare the attitudes about new food purchases between innovators/early adopters and non‐innovators, and to determine the food purchase characteristics of innovators/early adopters and non‐innovators. Data were collected in ten locations in India between November 1999 and February 2000. Including income as a covariate, MANCOVA was performed to determine how innovators/early adopters and non‐innovators differed in their attitudes about new food purchases. The findings revealed some important characteristics of food innovators/early adopters: they tend to be opinion leaders, seek variety in food types and brands, and are more responsive to sales promotions and advertisements. Food prices are relatively important to both consumer groups. Marketing implications for food businesses are discussed.