This study aims to extensively analyze the performance of various Machine Learning (ML) techniques for predicting version to version change-proneness of source code Java files. 17 object-oriented metrics have been utilized in this work for predicting change-prone files using 31 ML techniques and the framework proposed has been implemented on various consecutive releases of two Java-based software projects available as plug-ins. 10-fold and inter-release validation methods have been employed to validate the models and statistical tests provide supplementary information regarding the reliability and significance of the results. The results of experiments conducted in this article indicate that the ML techniques perform differently under the different validation settings. The results also confirm the proficiency of the selected ML techniques in lieu of developing change-proneness prediction models which could aid the software engineers in the initial stages of software development for classifying change-prone Java files of a software, in turn aiding in the trend estimation of change-proneness over future versions.

Anonymity is one of the key factors that influence communication and the work behaviours of people. It is even more evident in an online community where the role of anonymity can be akin to a double-edged sword: it can increase participation while at the same time having detrimental effects due to irresponsible and disruptive behaviour. Most studies on anonymous participation in groups or communities have reported this ambivalent view of anonymity: positive or negative. Furthermore, the effects of anonymous participation may be different in a dynamic sense because the task characteristics of participation can vary across time. In this study, we hypothesise that the effects of anonymity in online collaboration differ across the stages of collaboration. We analysed 2,978 featured articles on the English-language Wikipedia website and investigated the contributions of anonymous participants. While the contributions of anonymous participants were negative to collaboration efficiency as a whole, the negative effect of anonymous participants was stronger in the earlier stage than the later stage of collaboration. These findings indicate that the effect of anonymity has two sides in terms of collaboration efficiency in the same collaborative environment.

Online Word-of-Mouth communication, or eWOM, has dramatically changed the way people network, interact, and share knowledge. Studies have examined why consumers choose to share knowledge online, especially online product reviews, as well as the motivations of individuals to share product ideas online. However, the role of gender in shaping the motivation and types of knowledge shared online has been given little consideration. Using concepts from Social Exchange Theory and the Theory of Reasoned Action, we address this research gap by developing and testing a model of gender's influence on knowledge sharing in a social media context. A PLS analysis of survey data from 257 students indicates that reputation, altruism, and subjective norms are key motivators for knowledge sharing intention in social media. More importantly, that gender plays a moderating role within the motivation-knowledge sharing relationship. We also find that subjective norms have a greater impact on knowledge sharing with women than with men. Collectively, our research results highlight individualized factors for improving customer participation in external facing social media for marketing and product innovation.

The current study examined the Indian young consumer online shopping self-efficacy in an integrated model. Authors tested the study model (antecedents and consequences of online shopping involvement) with the help of 225 sample data by using first order structural equation modeling. Online shopping enjoyment was found most important predictor of online shopping involvement followed by online accessibility. Further, the impact of online shopping involvement on online shopping self-efficacy was quite high in comparison to online technical self-efficacy. We strongly recommend that the marketers must use internet strategically in establishing dialogue between seller and online shoppers.

As the complexity of managing online personal information is increasing and data breach incidents frequently occur, online users feel a loss of control over their privacy. Such a situation leads to their cynical attitudes towards privacy protection, called privacy cynicism. This study aims to examine the role of privacy cynicism in online users' privacy behaviors. Data were gathered from a survey that 281 people participated in and were analyzed with covariance-based structural equation modeling. The findings of this study reveal that privacy cynicism has not only a direct influence on disclosure intention but also moderates an effect of privacy concerns on the intention. The analytical results also indicate that there is a nonlinear effect of privacy cynicism on the outcome variable. This study developed the concept of privacy cynicism—a phenomenon that significantly affects online privacy behavior but has been rarely examined. The study is an initial research into the nature and implications of privacy cynicism and furthermore clarified its role by the nonlinear relationship between privacy cynicism and the willingness to disclose personal information.

Recently, Social media has become a concern for businesses, including Small and Medium Enterprises (SMEs). SMEs began to adopt social media to support their performance. To benefit from the application of social media, SMEs must implement the right strategy. This study aims to analyze the factors that influence the use of social media in SMEs. Furthermore, alignment between social media functionalities and strategies and their effect on SME's performance are investigated. A case study is conducted in Gymi, a garment SMEs in East Java, Indonesia. The data collection includes interviews with the owner of SMEs, observations, and document analysis. Data analysis is performed by pattern matching, which matches the patterns from the literature with data from the case study. The results of this study show that cost-effectiveness, interactivity, and compatibility are factors that influence the use of social media in Gymi. The social media used by Gymi are Instagram, Facebook, YouTube, WhatsApp, and LINE. However, the main social media used to support Gymi's functions is Instagram. Gymi has a relatively good social media strategy as it has defined a specific goal, target audience, and channel selection for social media (Instagram). It also has specific resources and policies to handle social media. Gymi monitors and evaluates their social media content activities. These strategies are aligned with the Instagram feature used to support Gymi's function, particularly marketing, sales, customer service, and to some extent, internal operation. The alignment contributes to Gymi's performance measured by the increase in reputation (number of Instagram followers) and sales.

As a part of advanced technology society, South Korean youth have been accessing the Internet at a very high pace. The Internet overuse could yield addiction where may be a serious psychological disorder of this century. The literature remarks that gender could make a significant difference on internet addiction. Therefore, this study aims to examine the effect of gender variable on internet addiction for a sample of South Korean university students (n = 815; 312 females and 503 males). The instrument had two sections; the demographics and twenty Internet Addiction survey items based on a five level scale; "Rarely, Occasionally, Frequently, Often and Always". The results showed that general tendency among the participants appeared between "Occasionally" and "Frequently" for internet addiction. In order to test five derived study hypotheses, the researchers conducted comparative statistical tests. The t-tests revealed that gender made statistically significant differences on nineteen items where males were higher than females showing that males significantly spend more time on the Internet than females. Additionally, t-tests results showed that seventeen of the survey items showed statistically significant differences with respect to types of technology dominant environment. The researchers created two dummy variables to combine gender and technology dominant environment variables and gender and school year variables, to have a better understanding the gender effect with one-way ANOVA. The gender difference still exists following its merge to technology dominant environment showing that the gender surpasses IT related environment. When school year combines to gender, males show higher scores for certain items, especially for freshman year.

This study aims at understanding gender difference in trust and the related factors affecting the intention to purchase voice speakers VS. VS are one of the innovations that are emerging at a fast pace in the market. Although it seems to be widely embraced by both genders, people do not intend to use them in some cases due to a lack of trust and the rumors circling these types of technologies. Nevertheless, there are particular barriers to the acceptance of VS technology between females and males due to unfamiliarity with the effective components of such technologies. Therefore, assuming that increasing the knowledge-based familiarity with an effective technique is essential for accepting it. So far, only little is known about VS and its concepts to increase the familiarity and, as a consequence, the acceptance of effective technology. Technology adoption in gender has been studied for many years, and there are many general models in the literature describing it. However, having more customized models for emerging technologies upon their features seems necessary. This study is based on Theory of Reasoned Action and trust-based acceptance which provides a background for understanding the relationships between beliefs, attitude, intentions, and subject norms and how it's affecting gender trust in VS. The statistical analysis results indicate that perceived system quality and perceived interaction quality have stronger influences on trust for males, while privacy concern and emotional trust have stronger influences on trust for females with the intention of purchase for both genders. Our study can be beneficial for future research in the areas of Perceived risk and Perceived utility and behavioral intention to use and human-technology interaction and psychology.

Smartwatch, one of the popular forms of wearable gadget and a converging point of information technology innovation and fashion, is gaining much acceptance in countries belonging to the Asia-Pacific region. However, little is known about factors affecting consumers' intention to use smartwatches in Bangladesh. Therefore, this study explores factors driving Bangladeshi consumers' intention to use smartwatches and expands the general understanding of the emerging Asia-Pacific region's market. The study extends the conventional Technology Acceptance Model (TAM) by incorporating perceived enjoyment, aesthetic appeal, healthology, and two fashion-related factors, such as fashion innovativeness and fashion involvement. Data representing 300 respondents were analyzed using the structural equation model (SEM). The results reveal that, among other predictors, attitude toward using has the strongest direct effect on behavioral intention to use smartwatches. Moreover, attitude toward using smartwatches is significantly influenced by perceived enjoyment, perceived usefulness, perceived ease of use, fashion innovativeness, and fashion involvement. The study further discusses some interesting theoretical contributions that would be important insights for future studies. The empirical findings of this study would benefit the manufacturers and marketers who are trying to enter or penetrate the market in the Asia-pacific region.

Much has been written on Information Systems Planning in the for-profit organisations, but little is known about it in the Not-for-Profit sector, particularly in the Australian context. This paper has attempted to conceptualise the problem of Information Systems planning in the Not-for-Profit organisations. It provides insight into Information Systems Planning practices in Not-for-Profit-Organisations and the problems of current Information Systems Planning practices in Not-for-Profit-Organisations. The contribution of this paper is two folds, theoretically and for practitioners. Theoretically, it has provided a model that enables people to understand why or why not Not-for-Profit-Organisations do or do not conduct Information Systems Planning. Regarding practitioners, the factors identified in this study would help planners, managers and executives to understand the key areas and plan accordingly and for donors they would be able to understand where are their contributions needed the most and be able to follow up and ensure that their donations/contributions are utilised in the right areas hence increase Not-for-Profit-Organisations accountability with regards to planning for Information Systems.