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The purpose of this paper is to debate on community engagement and participation in local community festivals and events by empirically analysing the factors which either inhibit or facilitate engagement. The application of the motivation-opportunity-ability (MOA) model to the analysis of community festivals is an important contribution.

Recognising the complexity associated with community participation in festivals produced a set of four research questions which are addressed via a mixed methodology research design. The model was then tested using four key data collection methods including the interviews and the questionnaires analysed within this paper.

The MOA model can be seen as an appropriate framework with which to analyse community engagement in a local community festival setting, in the case of “The Utcazene-Fesztival”, a Street Music Festival in Veszprém, Hungary. Community participation is often interpreted quite simply as a way of involving local people in community planning and development. However, within the realm of community festivals and events the reality reveals a multitude of stakeholder webs and interconnected decision-making processes within a multi-faceted phenomenon. The paper reflects on the value of the MOA model to guide analysis within event studies and further considers the methodological challenges that the study brings to events studies.

This paper presents two key data sets as part of a broader study of the MOA model. Due to size restrictions only the primary data derived through qualitative interviews and quantitative questionnaires are analysed here.

Currently there is limited understanding, agreement and research within community engagement remains an increasingly important area of academic enquiry. This particular paper explores the central concepts of inclusivity and engagement which can be considered as fundamental to the creation of successful community festivals and events. The paper begins by defining community festivals and events; it builds on Jepson and Clarke's (2012) work on developing inclusive community festivals and events through inclusive participation within the planning and decision making process.

This study lies within “classical discourse” (Getz, 2010) within festival studies as its context is firmly situated within cultural anthropology and sociology. Unlike previous studies this research is unique in that it integrates social cognitive theory (SCT) which is usually found in psychology discourses. The purpose of this paper is to propose how the Motivation-Opportunity-Ability (MOA) model would benefit from integrating self and group efficacy theory. It achieves this by building on previous analysis of primary data collected in the field at the Utcazene, Street Music Festival, Veszprem, Hungary, (Jepson et al., 2013) using an adapted MOA model.

This paper analyses previous studies which have tested the MOA model through primary data collection. Following this analysis best practice is and similarities are identified through discussion; then a case is then made to adapt the model to integrate and test Bandura's (1986) concept of self-efficacy based on the benefits it could provide to future research within community festivals and events.

This paper has been framed by initial research by Jepson et al. (2013) and Hung et al. (2011) which after analysis revealed that the MOA model was still lacking in its ability to reveal “why” local people were motivated or empowered to engage in the planning of community festivals and events. It has become evident through discussion that measuring self-efficacy has much to contribute in regards to community engagement in the event planning process; moreover there is strong evidence to support its inclusion within the MOA model. It could be used to further inform on the synergy within and between the three disciplines underpinning the model such as the relationship between knowledge, opportunity and ability, as well as reveal new ones between self-efficacy and knowledge, opportunity and ability.

This is a conceptual paper and therefore is based on theoretical discussion but not on empirical data collected in the field of event studies.

Very few studies have engaged measurement of community participation within festivals and events. This study is original as it is interdisciplinary and investigates the concerns the roles local community take (as stakeholders), meanings (how local community culture is represented within the festival) and impacts (internal and external festival impacts and how these effect the local community) through established planning frameworks and SCT.

This study empirically explores the factors that influence consumers’ readiness toward engagement in circular food consumption.

A conceptual model based on the motivation–opportunity–ability (MOA) framework was developed. In addition to all the classical relationships in this theoretical framework, respondents' age and education were added to the model. An online survey was conducted, resulting in an overall sample of 411 Italian participants. Data were statistically analyzed by using partial least squares structural equation modeling (PLS-SEM).

The results indicated that motivation, opportunity and ability had positive effects on consumers’ readiness toward engagement in circular food consumption (CFC). Of all the constructs, intrinsic motivation had the most significant impact on consumers’ readiness toward engagement in CFC. The results also showed that sociodemographic traits—particularly age and gender—significantly influenced consumer readiness toward engagement in CFC. Practical and policy implications are proposed based on the study findings.

The study analyzes factors influencing consumers' readiness to engage in CFC. While great attention has been paid toward circular economy (CE) implementation in food consumption, empirical evidences on how to prompt the consumers' readiness toward CFC are still lacking. More specifically, the authors explore for the first time, sociopsychological factors affecting consumers' readiness to reduce, reuse and recycle technical components of food products, using the MOA theory as conceptual model.

This paper aims to integrate existing thinking and provide new insights into the complexity of behaviours to improve understanding of the nature of these behaviours. This paper expands social marketing theory by introducing the Motivation–Opportunity–Ability–Behaviour (MOAB) framework to assist in understanding the nature of social marketing behaviours by extending the Motivation–Opportunity–Ability (MOA) framework.

This is a conceptual paper that proposes the MOAB framework to understand the complexity of behaviours.

This new tool will provide social marketers with an improved understanding of the differences between behaviours targeted by social marketers. Specifically, it provides a definition and application of complexity in social marketing that will facilitate the development of consumer insights and subsequent social marketing programs that more sufficiently account for the complexity of target behaviours.

This proposed MOAB framework offers a foundation for future research to expand upon. Further research is recommended to empirically test the proposed framework.

This paper seeks to advance the theoretical base of social marketing by providing new insights to understand the nature of the behaviour in social marketing to assist social marketers to move beyond attempts to treat all behaviours as if they are the same.

It has been widely recognised that the participation of residents is a significant issue in contemporary urban heritage conservation. However, studies confirm that the reasons behind residents' engagement are still difficult to assess, particularly in emerging countries. This paper aims to evaluate the factors that incite or prevent residents from participating in built heritage rehabilitation in the old city of Constantine, by applying the motivation-opportunity-ability (MOA) model.

A questionnaire-based survey was used to collect information from the residents. The collected data were then analysed using the structural equation model (SEM).

The findings show that the most significant factors affecting residents' participation were related to their motivations and abilities. Interestingly, factors related to the opportunities did not influence participation. Thus, autonomous rehabilitation according to the residents' motivation and abilities is more likely to be adopted.

These findings are limited to the selected sample, and some variables have been eliminated through the SEM analysis.

However, as a first attempt to study residents' participation in built heritage rehabilitation in Constantine, the paper proposes a different perspective for assessing participation by considering its means and ends simultaneously. The paper also provides guidance to local decision-makers to improve the legal framework by implementing factors that encourage residents' involvement in sustainable heritage management.

The purpose of this paper is to investigate the influences of smallholder farmers’ motivations, opportunities and abilities on their satisfactions of non-certified organic farming practices in Southern China based on the motivation–opportunity–ability (MOA) model.

The sample covers 314 smallholders from Nanning region in Southern China who have engaged in non-certified organic farming. Judgmental and convenient sampling are applied to collect data. Data analysis consists of confirmatory factor analysis, structural equation modelling and mediation test.

The results show opportunity as dominant impact factor of smallholder farmers’ satisfaction followed by motivation and ability. Also, their commitment to further non-certified organic farming is positively influenced by their satisfactory level. Mediation test reveals that satisfaction partially mediates the relationships between motivation, ability and commitment.

First, due to the limited sample size in a single region, the findings cannot represent even Southern Chinese farmers as an entirety. Second, the study only limited itself in the scope of the MOA model.

Apart from providing updated empirical results for existing studies, this study also highlights the importance of farmer association, supporting scheme as well as the relevant training for the smallholder farmers to size the opportunities, promote their motivations and strengthen their abilities.

As little attention has been given to small-scale farmer who are involved in organic farming practice in China, this paper presents findings based on the MOA framework.

Culture is considered a critical aspect of social media usage. The purpose of this paper is to explore how cultures and languages influence multilingual users' cross-cultural information sharing patterns.

This study used a crowdsourcing survey with Amazon Mechanical Turk to collect qualitative and quantitative data from 355 multilingual users who utilize two or more languages daily. A mixed-method approach combined statistical, and cluster analysis with thematic analysis was employed to analyze information sharing patterns among multilingual users in the Chinese cultural context.

It was found that most multilingual users surveyed preferred to share in their first and second language mainly because that is what others around them speak or use. Multilingual users have more diverse sharing characteristics and are more actively engaged in social media. The results also provide insights into what incentives make multilingual users engage in social media to share information related to Chinese culture with the MOA model. Finally, the ten motivation factors include learning, entertainment, empathy, personal gain, social engagement, altruism, self-expression, information, trust and sharing culture. One opportunity factor is identified, which is convenience. Three ability factors are recognized consist of self-efficacy, habit and personality.

The findings are conducive to promoting the active participation of multilingual users in online communities, increasing global resource sharing and information flow and promoting the consumption of digital cultural content.

This study provides an integrative model that facilitates green product innovation (GPI) by adopting dynamic capabilities theory and the motivation-opportunity-ability (MOA) framework. Drawing on dynamic capabilities theory, this study emphasizes green supply chain integration (GSCI), consisting of internal and external integration, as a dynamic capability that drives GPI. Moreover, this study analyzes the environmental conditions that benefit the development of dynamic capabilities using the MOA framework and focuses specifically on government support (GS) and market greenness (MG) as precursors to GSCI.

Survey data were collected from 300 Chinese manufacturing firms. The proposed hypotheses were tested using hierarchical multiple regression analysis.

The regression analysis reveals that (1) GS and MG positively affect both internal and external integration and (2) internal and external integration positively affect GPI.

In explicating a model of GPI, this study extends the theoretical lens of dynamic capabilities beyond the intraorganizational level to the supply chain level. Moreover, this study enhances the understanding of dynamic capability development by considering the environmental conditions that represent motivation- and opportunity-based drivers of GSCI.

Value-based selling (VBS) is increasingly a key success factor in business to business (B2B) settings, but its relationship with digital solutions selling (DSS) has not been explored. This study aims to develop a motivation-opportunity-ability (MOA)-based model that shows how an individual salesperson’s task-specific motivation to implement DSS affects personal capabilities to engage in DSS-related internal coordination, customer networking and ultimately VBS behavior. The authors also account for the supervisor’s DSS-focused behavioral control as the opportunity variable, potentially influencing all other variables in the framework.

The authors test the model and hypotheses using data of 178 salespeople from a B2B company growing its digital solutions business. Path modeling and SmartPLS software are used to estimate the model.

The results demonstrate the key importance of DSS implementation motivation to implement VBS. The findings emphasize the mediating role of salespeople’s ability to collaborate with colleagues and engage in customer networking to configure the right idiosyncratic digital solutions and demonstrate these solutions’ economic value. Supervisors have a fundamental role in directly and indirectly stimulating DSS motivation, DSS-related customer networking ability and VBS.

The study has several limitations. The authors examined a single company. In addition to internal coordination and customer networking, other relevant abilities of salespeople could be considered as mediators between DSS and VBS. Similarly, other opportunity factors may be analyzed in the future, such as supervisors’ risk orientation and ability to stimulate team spirit. Future research could also investigate other salespeople’s individual talents and additional organizational support variables that predict a salesperson’s behavioral and outcome performance in DSS and VBS.

Companies willing to adopt VBS should acquire, develop and retain salespeople characterized by strong motivation to implement DSS. Supervisors should adopt a DSS-focused behavioral control, and companies should support supervisors through appropriate training on how to manage detailed feedback to salespeople constructively and sales performance management systems that systematically track DSS-related sales force activities and results. Companies should also facilitate DSS-related teamwork, for example, through team incentives, and DSS-related customer networking, for instance, through appropriate sales enablement platforms and tools.

The research addresses the communalities and differences between solutions selling and VBS, suggesting a causal relationship. While prior research has analyzed solutions and value mainly as corporate strategies at the organizational level, the current study considers implementation at the individual salesperson level. The study focuses on digital solutions, which are more uncertain and complex to sell than traditional solutions.

The purpose of this study is to apply the motivation–opportunity–ability (MOA) framework to investigate the relationships between ambiguity tolerance (AT), reflective thinking (RT) and performance in a complex task to predict knowledge-sharing intent.

In this study, 190 subjects performed a complex scheduling task in which they were randomly assigned to either participate in RT or not.

Results show that factors of the MOA framework positively predicted knowledge-sharing intent. In addition, RT significantly increased intention to share for individuals with low performance or with low AT.

More research is needed to determine relationships between complex task performance and knowledge sharing, and the role of learning strategies, particularly self-directed ones such as RT. Future studies may use a larger sample size for more complex analysis.

RT may be used to create a sustainable and low-cost method of increasing knowledge sharing in complex tasks, without which those with low AT or low performance may not have participated.

The study supports the importance of contextual influences and points to how organizations can use RT in addition to individual motivation and ability to encourage knowledge sharing.