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Collaborating with consumers during new product development can provide companies with significant benefits and competitive advantages. Although several studies have been conducted on the design of co-innovation platforms, there is still a need for a more comprehensive understanding of the co-innovation phenomenon. To address this gap, this research aims to identify the critical success factors of co-innovation platforms and provide an extensive analysis of the variables that determine their effectiveness.

This study presents a systematic literature review of co-innovation platforms based on an analysis of 89 articles published in 50 scholarly journals in the disciplines of information systems, marketing and business, covering the years from 2006 to 2022.

The review synthesizes the current state of scientific knowledge and groups prior studies thematically as critical success factors of co-innovation platforms. As a result, eight success factors have been identified in terms of quantity and quality of contributions. These factors include product involvement, perceived fairness, sense of community, interactive environment, employee involvement, participant diversity, assessment structure and task design.

The study consolidates existing research about the critical success of co-innovation platforms. It also provides a research framework that incorporates a diverse set of variables that can be used to assess co-innovation performance in future studies.

Social networking sites (SNS) have become extensively used communication environments as a result of the advancements in online technologies, and among various SNS platforms, Instagram is currently the most prominent image-based network. Since usage motives for alternative SNS environments with different outstanding benefits are expected to vary, this study has focused mainly on extracting the key context-specific usage motives of Instagram. Another purpose of this study is to figure out personality traits differences among Instagram user segments.

An online survey was designed, and a total of 690 fully completed questionnaires was collected, and 507 of the respondents were Instagram users. After conducting factor analysis, six main usage motive categories have been revealed and named as self-expression, recording, socialization, recreation, creativity, and prying.

Instagram users have been clustered as passionate, distant, and spectator users based on their usage motives. Ultimately, personality differences among these clusters have been explored using the Big Five Inventory (BFI) and two additional traits, social interaction anxiety, and fear of negative evaluation. Openness to experience, social interaction anxiety, and fear of negative evaluation were found to be significantly different among these clusters.

Discovering the motives of SNS usage, segmenting users based on these motives, and then portraying the personality traits of each segment gives important clues about how SNSs can better design their interfaces and generate content for attracting users in different segments.

The paper aims to investigate existing research in factors impacting organic food purchase with special reference to eco-labels and identify the relative influence of various determinants.

A conceptual framework is proposed of organic food buying behaviour after analysing a sample of 154,072 consumers reported in 91 research studies from 2001–2020. The factors are categorised into four categories on the basis of relatedness. In addition, the factors were analysed based on time, region and national economic status.

The impact of consumer psychographics, socio-demographic and product-related factor categories were found to be more pronounced compared to supply-related factor category. The results show that among individual factors like health concern, environment concern, knowledge and awareness, eco-labels and price followed by trust in organic food are the most important factors in organic food purchase. The findings suggest that eco-labels increase trust in organic food by reducing information asymmetry in consumers. However, there were differences in perception and factors importance between high-income economies and emerging economies.

The study is unique, as it analyses secondary research based on criteria of high-income economies and emerging economies. The conceptual framework can also be incorporated further into different cognitive models like the theory of planned behaviour.

The purpose of this paper is to segment the Australian organic food consumer market.

A nationwide online survey was conducted for collecting data about the Australian organic food consumer market. Various statistical techniques were used for analyzing the data and identifying market segments.

The key market segmentation variables that significantly characterize the Australian organic food consumer market include age, income, education, metro/city-vs-rural/region, purchase frequency, weekly expenditure, consumption period, retail outlets, perceived values, self-image, and perceptions about organic foods.

Australia, like many other countries, is an emerging market for the organically produced and marketed food products. The current review unfolds the fact that there are limited studies in market segmentation, and no study in the Australian context, in particular. The current paper contributes to the organic food market segmentation literature and provides several implications for market segmentation strategy.

The aim of this study is to examine profiles of consumers in organic foods market segments and determine their attitudes toward organic food consumption. Consequently, we explore whether there are differences among these consumer segments in terms of their health orientation, socially responsible consumption, environmental responsibility and values and lifestyles.

A total of 316 consumers were surveyed at supermarkets and malls in one of the largest metropolitan areas of a European city.

The cluster analysis performed indicates that there are three segments based on consumer attitudes toward organic foods: favorable, neutral and unfavorable. The results show that the consumer segment with more favorable attitudes toward organic foods exhibits higher levels of health orientation and socially responsible consumption behavior when compared to other segments.

It important for marketers to understand organic foods market segments so that they can target them with the appropriate marketing mix. For this reason, we attempt to identify consumer segments based on their attitudes and behavior concerning organic foods. In doing so, we examine the profiles of consumers in each organic food market segment and their attitudes toward organic food consumption.

Organic food consumption is growing at a fast pace despite economic problems around the world. This study has identified three market segments (consumer profiles) with different attitudes and behavior towards organic foods.

The theory of planned behavior (TPB) served as a framework for identifying major antecedents of everyday green purchasing behavior and for determining their relative importance.

The German market research institute GfK provided data (n = 12,113) from their 2012 household panel survey. A two-step structural equation modeling approach was applied to test both the measurement and the structural model.

Willingness to pay (WTP) was the strongest predictor of green purchasing behavior, followed by personal norms. The impact of attitude is insignificant. This implies an attitude – behavior gap.

Individuals overestimate their self-reported WTP and behavior, which suggests that the share of explained variance is in reality lower. It has to be doubted whether consumers are objectively able to judge products by their environmental impact. Even if consumers are willing to buy a “greener” product, their subjective evaluation might be incorrect. Further research should be based on actual purchasing data. In addition, the attitude – behavior gap should be scrutinized by further research to identify further barriers to green consumption.

Consumers need to be aware that their consumption behavior can make a difference. They have to value the benefits of green products and understand why these are priced higher. Firms can apply pricing and promotional strategies addressing personal norms and inducing a higher WTP to capitalize on the opportunities of the green market segment.

The study integrates WTP and personal norms as critical predictors into the TPB and furthermore expands the extant literature on green purchasing behavior to cover daily consumer goods extending beyond organic food. This enhances understanding of the structure of the constructs and determines their relative importance.

Previous research indicates the aversive effect of low consumer ratings on consumers’ purchasing decisions. This paper aims to apply decision justifiability theory to investigate how price promotions – price discount and price bundling – can reduce this effect.

Two scenario-based experiments were administered among college students (Experiment 1) and online consumer panels (Experiment 2) to test the research hypotheses.

When time-to-purchase is long (vs short), a large discount is more effective in alleviating consumers’ negative responses toward products with low consumer ratings. However, when a price discount is presented as a bundle rather than a separate deal, a small discount size becomes as attractive as a large discount size for consumers with a longer time-to-purchase.

This paper identifies two controllable factors, price discounts and price bundling, that could help to alleviate the negative impact of low consumer ratings. Marketing managers can apply the findings of this paper as guidelines to deal with the aversive effect of low consumer ratings.

This paper makes an initial attempt to examine situations where consumers would be less averse to products with low consumer ratings. It identifies the roles of two price promotions (i.e. price discount size and price bundling) and an important contextual factor (i.e. time-to-purchase) that influence consumers’ decision justifiability and, subsequently, alter consumers’ online purchase decisions for such products.

This study aims to develop a method of segmenting markets by using the functional approach to attitudes. The adopted approach identifies and groups individuals based on what functions their held attitudes serve for them. Specific marketing mixes can, thus, be designed for each functional profile.

The multi-method approach adopted consists of a qualitative assessment of consumers’ attitudinal functions in the physical fitness context and the development of an instrument to identify the distribution of attitudinal function segments in the same context.

A valid and reliable instrument that can be used to segment a market based on functional profiles is developed.

The outlined method provides a method for practitioners to identify existing functional segments, thus creating marketing mixes based on these functional segments and, ultimately, maximizing the value created for each segment.

The value in this research lies in the integration of old concepts (functional approach and scale development) to solving a new problem. The functional approach reaches deep to determine “why attitudes are held” vs simply “what attitudes are held”. Operationalization difficulties led to the abandonment of the approach. This research, thus, contributes theoretically by actually operationalizing the functional approach via a scale development, and using the operationalized form as a new means for segmenting markets.

The purpose of this paper is to organize and present the literature related to firm’s capital structure across the years and find the most relevant publications and authors in the research area. Moreover, the authors pretend to fill the gap in the literature by studying different works and their compatibility with the main theories.

The systematic literature review is conducted by using the Scopus database. The methodology applied is through a concise searching considering keywords, the most cited papers, the latest publications and theories that explain small and medium enterprises (SMEs) capital structure.

Some key aspects about the capital structure of firms and SMEs are identified, such as documents per year, type of publications, the most used languages, the top journals, the most cited papers, the most productive and influential authors and the latest published papers.

The information presented is only informative from the Scopus database. Hence, this work only gives a general orientation of the most relevant research and its tendency of this database. More exhaustive works could be done using different keywords and analyzing other firms’ characteristics.

This kind of study is effective in evaluating the scientific production and to find the most important contributions of the subject. Furthermore, this information is useful for researchers’ studies on SME capital structure to underline the research direction and to be acquainted with the literature tendency.

There are not similar works that delve into the literature respect to SME capital structure and compare the main theories in relation to empirical works. Therefore, a synthesized evolution of previous works related to the capital structure of firms and SMEs is presented.

The purpose of this paper is to explore a model and note the ranking of the trust factors of messages about organic food in social networks.

The research was divided into four phases. The first employed the literature review about Trust, Trust of products, Trust of organic foods and Trust in the social networks. This review was prepared as some hypothesis about the trust of messages about organic food in the social network. The second employed a focused interview to supplement the mentioned hypothesis to 31 factors that affect the trust of messages about organic food in social networks. In the third phase, 300 forms were used to collect information from Iranian consumers for exploratory factor analysis. Finally, neural networks were used to determine the ranking of the mentioned factors.

The results show 31 factors that affect the trust of messages about organic food in social networks. The results of this study showed that Iranian and international organic foods producers may be able to spread messages of trust about their products in social networks by attending to these 31 factors. This study also explored a model constructed using EFA that showed that six factors have a positive effect on the level of trust of messages about organic food in social networks.

This research effectively helps organic food producers to better understand the trust factors and ways to improve that trust in cyberspace marketing plans and to increase their sales.

For the first time, this research seeks a model for the factors affecting consumer trust in organic foods in social networks, and in the next step, it ranks these factors with artificial neural networks.