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This study aims to investigate how the language used in US Title II equity crowdfunding campaign descriptions relates to campaign success.

Data on >3,200 equity offerings from 12 Title II platforms was obtained from 2013 to 2016. The aspects of the campaign descriptions that are focused on are tone and two measures of readability: information quantity – the amount of information available to the investor and information quality – the ease of understanding of the passage of text. Tobit regressions with sector-clustered standard errors are used for estimation while controlling for company-specific variables, market sentiment and platform, regional, sector and time effects. Results are robust to alternative estimation approaches.

Inverse U-shaped relationships exist between information quantity, information quality and tone and Title II equity crowdfunding campaign success. Overall, less is more as it appears that an intermediate level of information – quantity, quality and tone – is optimal in terms of being a factor that contributes to equity crowdfunding campaign success.

Extends the use of textual analysis to the equity crowdfunding environment in the USA where such analysis is lacking and provides empirical evidence that the language used (e.g. sentiment) in US Title II equity-based crowdfunding campaign descriptions does influence campaign success. It provides empirical evidence of and extends the concept of information overload to the entrepreneurial finance sub-field and indicates tone may be an additional information attribute to consider in this context as contributing to overload.

The purpose of this paper is to examine how higher education students think about educational technologies they have previously used – and the implications of this understanding for their awareness of datafication and privacy issues in a postsecondary context.

The authors conducted two surveys about students’ experience with the ClassDojo platform during their secondary education. In both surveys, the authors included a question asking students to identify which ClassDojo-like platform they used in school. For this study, the authors examined responses to these screening questions, identifying the technologies that responses referred to and sorting technologies into categories.

Students identified a wide range of technologies when prompted to identify a technology similar to ClassDojo. Many responses suggested students have a broad, monolithic understanding of educational technology. This suggests the prevalence of a utilitarian tool perspective (rather than a platform perspective) that may be entrenched by the time that students reach higher education, hampering efforts to inform and educate them in that context.

To the best of the authors’ knowledge, there are few studies of students’ conflation of educational technologies in the extant literature. Furthermore, the platform perspective emphasized in this manuscript remains relatively rare in many fields associated with educational technology.

The purpose of this qualitative research study was to explore male and female sports fandom through examining the prototype of a loyal National Football League (NFL) fan.

Eighteen in-depth interviews were conducted with male and female participants who self-identified as NFL fans from the Midwest and Northeast regions of the US. Data were analyzed using open coding.

Both female and male participants identified three common criteria for being a prototypical NFL fan: loyalty, knowledge and wearing of team apparel. The findings also demonstrated gender differences in both how a fan identifies a prototypical fan and how that dictates fan identity, attitudes and behavior. Additionally, prototypical fandom might need to be defined differently for males and females.

This study contributes to the literature by exploring the perspectives of both genders of NFL fans and by providing a more balanced perspective of how males and females define prototypical fans and how each gender perceives the fan behavior of the opposite sex.

The purpose of this paper is to examine the impact of changes in farm economic conditions and macroeconomic trends on US farm capital expenditures between 1996 and 2013.

A synthetic panel is constructed from Agricultural Resource Management Survey (ARMS) data. A dynamic system GMM regression model is estimated for farms as a whole and separately within farm typology categories. The use of farm typologies allows for comparison of the relative magnitudes of these estimates across farms by farm sales level and the operator’s primary occupation.

Changes in gross farm income levels, tax depreciation rates, and interest rates have a significant impact on crop farm investment, while changes in output prices, net cash farm income levels, tax depreciation rates, and farm specialization levels have significant impacts on livestock farm capital investment. The relative significance and magnitudes of these impacts differ within farm typologies. Significant differences include a greater responsiveness to change in tax policy variables for residential crop farms, greater responsiveness to changes in output prices and debt to asset ratios for intermediate livestock farms, and larger changes in commercial crop and livestock farm investment given equivalent changes in farm sales or the returns to investment.

These findings are of interest to agricultural economists when constructing farm investment models and employing pseudo panel methods, to those in the agricultural equipment and manufacturing sector when constructing models to manage inventories and plan for production needs across regions and over time, to those involved in drafting tax policy and evaluating the potential impacts of tax changes on agricultural investment, and for those in the agricultural lending sector when designing and executing agricultural capital lending programs.

This study uniquely identifies differences in the level of investment and the magnitude of investment responsiveness to changes in farm economic conditions and macroeconomic trends given differences in income levels and primary operator occupation. In addition, this study is one of the few which utilizes ARMS data to study farm capital investment. Utilizing ARMS data provides a rich panel data set, covering producers across many different crop production types and regions. Finally, employing pseudo panel construction methods contributes to efforts to effectively employ cross-sectional data and dynamic models to study farm behavior across time.

The adoption of digitalization and sustainability is key phenomenon that has changed perception and behaviors of people recently. As there is a rising power of digital communication by social media platforms, there is higher interaction between people globally. In addition, consumers can influence each other to adopt new consumption pattern. At this point, this paper aims to examine the role of green women influencers on promoting sustainable consumption patterns via social media platforms.

This study employed qualitative research method. The study included four top-lists for green/sustainable social media influencers as a sample case. Then, the data were analyzed by descriptive content analysis. To determine the role of green women influencers in sustainable consumption, this study used classification and categorization technique through descriptive content analysis.

The study indicates that green women are seen as a primary social media influencer because of promoting sustainable consumption patterns in general. Especially, green women have more power to change consumption patterns via digital platforms. Green women social media influencers, who are micro-celebrities, share primary contents such as sustainable fashion, green foods, sustainable travel, sustainable lifestyle, conscious choices, green cosmetics and zero waste life to promote sustainable consumption patterns. Women social media influencers are much more effective than men influencers to transform society's consumption behaviors into sustainable consumption patterns.

The study provides some qualitative findings based on the selected four top-listed green social media influencers by different social media platforms. Future studies can find out different results based on different sample cases and employ quantitative research methodology.

The study suggests policymakers to cooperate with green women social media influencers to achieve sub-targets of 2030 Sustainable Development Goals (SDGs). Especially, it is suggested to cooperate with micro-celebrities or Internet celebrities to promote sustainable consumption patterns.

The study proves that women social media influencers have the essential role in promoting green/sustainable consumption patterns via digital platforms. In addition, green women influencers can guide their followers to adopt sustainable consumption patterns.