Personality and espoused cultural differences in technostress creators

This study examines the individual differences in ‘technostress creators'—defined as the factors that cause technostress for employees. Drawing on the Five-Factor model of personality and Hofstede's cultural values framework, this study proposes that the Big-Five personality traits and the espoused cultural values explain variation in technostress creators beyond the traditional antecedent measures of age, gender, education, and computer confidence. Further, in line with the insights from extant behavioral studies on “personality–culture” interaction, this study posits that the Big-Five personality traits can be linked to technostress creators more closely when each of them is accompanied by the espoused cultural value of long-term orientation than when without it. Analyzing data from an online survey of 322 full-time employees in India, results indicated that (1) the personality traits of agreeableness, neuroticism and openness to experience, and the espoused cultural values of masculinity and power distance are the key predictors of technostress creators; and (2) the relationships of agreeableness, conscientiousness and extraversion with technostress creators are contingent on espoused long-term orientation. Findings of this study contribute to the knowledge base of technostress by understanding the linkages of (and among) personality and culture with technostress creators.     

Psychophysiology of the passive user: Exploring the effect of technological conditions and personality traits

This purpose of this study was to investigate physiological response patterns of passive users versus active users under varying technological conditions. The relationship between user personality traits and physiological responses was also explored. In work systems, different types of users interact with technologies in different ways. Active users may control technologies, while passive users may watch the active user and the technology. While they are both important stakeholders in the system, little empirical research has been conducted to understand the passive users to date. A mixed design experiment was conducted to investigate passive user psychophysiological state, while active and passive users operated a technology under varying technological states (normal, unreliable, and difficult). Physiological measures were collected from passive users while technologies were being operated, these included electrodermal and cardiovascular (heart rate and heart rate variability). Results show that individual active users and passive users have distinct physiological response patterns in heart rate and heart rate variability while using the technology. Exploratory analyses indicated that conscientiousness was positively related to individual active users' task performance; openness, agreeableness, and extraversion were associated with passive users' electrodermal and cardiovascular responses. In addition, social interaction is more influential for passive users' physiological responses, compared to task performing. The effects of active and passive user personality traits on technology interactions are illustrated through distinctive physiological responses.Relevance to industryFindings from this study suggest that to improve passive user experience, systems that include both active and passive users should be designed to facilitate communication and information sharing between users.     

Who blogs? Personality predictors of blogging

The Big Five personality inventory measures personality based on five key traits: neuroticism, extraversion, agreeableness, openness to experience, and conscientiousness [Costa, P. T., Jr., & McCrae, R. R. (1992). Normal personality assessment in clinical practice: The NEO Personality Inventory. Psychological Assessment 4, 5–13]. There is a growing body of evidence indicating that individual differences on the Big Five factors are associated with different types of Internet usage [Amichai-Hamburger, Y., & Ben-Artzi, E. (2003). Loneliness and Internet use. Computers in Human Behavior 19, 71–80; Hamburger, Y. A., & Ben-Artzi, E. (2000). Relationship between extraversion and neuroticism and the different uses of the Internet. Computers in Human Behavior 16, 441–449]. Two studies sought to extend this research to a relatively new online format for expression: blogging. Specifically, we examined whether the different Big Five traits predicted blogging. The results of two studies indicate that people who are high in openness to new experience and high in neuroticism are likely to be bloggers. Additionally, the neuroticism relationship was moderated by gender indicating that women who are high in neuroticism are more likely to be bloggers as compared to those low in neuroticism whereas there was no difference for men. These results indicate that personality factors impact the likelihood of being a blogger and have implications for understanding who blogs.     

Who interacts on the Web?: The intersection of users’ personality and social media use

In the increasingly user-generated Web, users’ personality traits may be crucial factors leading them to engage in this participatory media. The literature suggests factors such as extraversion, emotional stability and openness to experience are related to uses of social applications on the Internet. Using a national sample of US adults, this study investigated the relationship between these three dimensions of the Big-Five model and social media use (defined as use of social networking sites and instant messages). It also examined whether gender and age played a role in that dynamic. Results revealed that while extraversion and openness to experiences were positively related to social media use, emotional stability was a negative predictor, controlling for socio-demographics and life satisfaction. These findings differed by gender and age. While extraverted men and women were both likely to be more frequent users of social media tools, only the men with greater degrees of emotional instability were more regular users. The relationship between extraversion and social media use was particularly important among the young adult cohort. Conversely, being open to new experiences emerged as an important personality predictor of social media use for the more mature segment of the sample.     

User perceptions of e-quality of and affinity with virtual communities: The effect of individual differences

Following the information systems (IS) success model, this study explores the effect of individual differences on users’ perceptions of virtual communities in terms of e-quality (namely, information quality, system quality and service quality) of and affinity with virtual communities given individual differences are crucial in determining how individuals think and respond to the environment. This study examines the effect of individual differences on virtual community success dimensions from both physical and psychological perspectives, which we think presents a new view for virtual community research and practice alike. Data collected from users of virtual communities were used for data analysis. First, the cluster analysis was applied and five personality trait clusters were identified in terms of extraversion, agreeableness, openness to new experience, conscientiousness and neuroticism. Then, the independent sample t test and one-way analysis of variance (ANOVA) were employed. The effect of individual differences in terms of gender, age, position, experience with virtual communities as well as the five personality trait clusters on users’ perceptions of e-quality of and affinity with virtual communities was explored and discussed.     

An empirical investigation on organizational innovation and individual creativity

Innovation is one of the critical success factors for organizations. It is essential for business to understand the driving forces of innovation. This study investigates the impact of the following three factors on innovation: employee relationship, knowledge sharing, and IT application maturity. 167 samples of firm level data were collected to construct the measurements of innovation, intensity of employee relationship, employee diversity, quality of knowledge sharing, and IT application maturity. It is found that all of these factors have significant impacts on innovation. We further extend the investigation to individual creativity as a corresponding concept to organizational innovation. An employee social network was constructed at a size of 149 nodes. It is shown that the centrality of each employee in the social network has significant positive impact on individual creativity. With these results from investigating organizational innovation and individual creativity, this study empirically illustrates the importance of enhancing employee relationship, knowledge sharing, and IT application maturity.     

Understanding e‐Government portal use in rural India: role of demographic and personality characteristics

Electronic government (e‐Government) is one of the most important ways to bridge the digital divide in developing countries. We develop a model of e‐Government portal use. We use various individual characteristics, namely demographics and personality, as predictors of e‐Government portal use. Specifically, our predictors were (1) gender, age, income and education; (2) the Big Five personality characteristics, i.e. extraversion, neuroticism, conscientiousness, agreeableness and openness to experience; and (3) personal innovativeness with information technology. We conducted a field study in a village in India. We collected data from over 300 heads of household. We found support for our model, with most variables being significant and explaining 40% of the variance in e‐Government portal use.     

Gender and Personality Trait Measures Impact Degree of Affect Change in a Hedonic Computing Paradigm

To date, affective computing research has acknowledged individual differences with regard to detecting affect, yet little research has explored how these individual differences may determine the degree to which affective computing is successful in manipulating the affect of specific computer users. The current study used individual difference measures to predict how much an individual can be influenced by a hedonic computing paradigm: a simple trivia game. Female participants responded in a greater way to positive affective feedback about their performance than did men. Moreover, several personality traits, including neuroticism, narcissism, self-esteem, and extraversion, augmented the degree to which affect changed as a result of playing the game. The results are consistent with the gender differences hypothesis, and the authors conclude that individual differences, particularly gender and personality traits, play a large role in the potential impact of computing platforms and would be useful in personalizing the affective nature of the human–computer interaction.     

The influence of intrinsic and extrinsic motivation on individuals' knowledge sharing behavior

A major challenge in knowledge management involves motivating people to share knowledge with others. The objective of this study is to deepen our understanding of how to influence an individual's tendency to engage in knowledge sharing behavior in a team setting. Specifically, we investigate the effects of intrinsic motivation (altruism) and extrinsic motivation (economic reward, reputation feedback and reciprocity) on knowledge sharing (number of ideas generated, idea usefulness, idea creativity and meeting satisfaction) in a group meeting. Results of our experiment show that a knowledge management system with built-in reputation feedback is crucial to support successful knowledge sharing.     

Who will buy smart glasses? Empirical results of two pre-market-entry studies on the role of personality in individual awareness and intended adoption of Google Glass wearables

Recent market studies reveal that augmented reality (AR) devices, such as smart glasses, will substantially influence the media landscape. Yet, little is known about the intended adoption of smart glasses, particularly: Who are the early adopters of such wearables? We contribute to the growing body of research that investigates the role of personality in predicting media usage by analyzing smart glasses, such as Google Glass or Microsoft Hololens. First, we integrate AR devices into the current evolution of media and technologies. Then, we draw on the Big Five Model of human personality and present the results from two studies that investigate the direct and moderating effects of human personality on the awareness and innovation adoption of smart glasses. Our results show that open and emotionally stable consumers tend to be more aware of Google Glass. Consumers who perceive the potential for high functional benefits and social conformity of smart glasses are more likely to adopt such wearables. The strength of these effects is moderated by consumers’ individual personality, particularly by their levels of openness to experience, extraversion and neuroticism. This article concludes with a discussion of theoretical and managerial implications for research on technology adoption, and with suggestions for avenues for future research.     

The Effects of Personality Traits on User Acceptance of Mobile Commerce

Existing research on user acceptance of mobile commerce has found that technological perceptions—such as perceived usefulness, perceived ease of use, and perceived compatibility—had significant effects on user behavior. However, the effects of personality traits have seldom been examined. The purpose of this research is to examine the effects of five personality traits of extraversion, agreeableness, openness to experience, conscientiousness, and neuroticism on user adoption of mobile commerce. Partial least squares was employed to conduct data analysis. The results show that extraversion has a strong effect on trust, whereas neuroticism has significantly negative effects on trust and perceived usefulness, both of which determine user intention to adopt mobile commerce.     

Towards a Comprehensive Understanding of Lead Userness: The Search for Individual Creativity

In innovation research the identification of lead users has attracted considerable research effort. While lead user research has made important advances, there is still a significant lack in terms of understanding antecedents to lead userness. Therefore the aim of this paper is to offer a framework which is rooted in creativity psychology in order to provide a more comprehensive understanding of who leading‐edge users are. It will allow for a systematic investigation and detection of innovative users. We conducted an empirical study in the field of small kitchen appliances in co‐operation with Philips Consumer Lifestyle, a field which lacks some of the typical characteristics that have been emphasized in markets traditionally studied in lead user research. With our research we show that (1) lead userness is fundamentally linked to individual creativity; (2) particularly creativity‐ and domain‐relevant skills (cognitive style, product knowledge and use experience) are related to lead userness; (3) creativity‐relevant skills can be explained by personal characteristics, such as education, gender and openness to experience.     

Effects of task complexity on individual creativity through knowledge interaction: A comparison of temporary and permanent teams

Using the interactionist’s perspective of creativity, this paper proposes a new research model of creativity manifestation to explore how factors affecting individual creativity depend on team characteristics. We investigated the antecedents of creativity in the literature—task complexity, team member exchange, and knowledge sharing—and then examined the relationships and differences between temporary and permanent teams. To maximize practical implications, we studied two team types like project task force (PTF) and research and development (R&D) teams in the Information and Communication Technology (ICT) industry in Korea, where strong creativity is required for team performance. PTF teams operate with a clear mission to be completed on a deadline, while R&D teams create scientific enhancements for existing products. The proposed structural model was tested empirically with cross-sectional data from 289 professionals from the two team types. Results indicated that, in the case of PTF teams, task complexity had an indirect relationship with individual complexity through knowledge interaction among team members, while for R&D teams, task complexity was directly associated with individual creativity, and indirectly associated with the creativity through team member exchange. Thus, team characteristics must be considered together with task complexity and knowledge interactions in order to achieve team goals more effectively by maximizing each member’s creativity.     

The impact of close monitoring on creativity and knowledge sharing: The mediating role of leader‐member exchange

We examine the influence of supervisors' close monitoring on employees' creativity and knowledge sharing, both of which are important to the enhanced performance and survival of organizations in this era of uncertainty and change. We also identify the mechanism through which supervisors' close monitoring affects employees' creativity and knowledge sharing. A survey was conducted with military officers in South Korea, among whom supervisor–employee interactions occur daily. A regression analysis of 163 supervisor‐employee dyads shows that supervisors' close monitoring has a negative impact on employees' creativity and knowledge sharing; a mediation test using a bootstrapping methodology shows that supervisors' close monitoring has a significantly negative indirect impact on employees' creativity and knowledge sharing with leader‐member exchange (LMX) as the mediator. Our theoretical contribution is to provide an improved understanding of the relationships among the variables. We also offer a practical implication because our findings show that supervisors' close monitoring may hinder employees' creativity and knowledge sharing by undermining LMX.     

Relationships among Internet use,personality, and social support

Competing claims have been presented in the literature regarding the impact of Internet use on social support. Some theorists have suggested that Internet use increases social interaction and support (Silverman, 1999, American Psychologist 54, 780–781), while others have argued that it leads to decreased interaction and support (Kiesler & Kraut, 1999, American Psychologist 54, 783–784). This study was designed to address this issue by examining the relationships among Internet use, personality, and perceived social support. Two-hundred and six participants completed questionnaires that assessed Internet use, personality (agreeableness, conscientiousness, extraversion, neuroticism, openness), and perceived social support. Using principal components analysis, individual computer activities were combined into three primary factors: Technical, Information Exchange, and Leisure. Correlation and regression analyses revealed only a marginal relationship between computer use and social support. Similarly, only modest associations were found between personality and computer use. However, personality did moderate the relationship between computer use and social support. That is, on two occasions, high computer use coupled with high personality was associated with decreased perceived social support and on a third occasion this combination resulted in increased perceived social support. These results help to address some of the inconsistencies that have been reported in the literature.     

Communication and personality profiles of global software developers

ContextPrior research has established that a small proportion of individuals dominate team communication during global software development. It is not known, however, how these members’ contributions affect their teams’ knowledge diffusion process, or whether their personality profiles are responsible for their dominant presence.ObjectiveWe set out to address this gap through the study of repository artifacts.MethodArtifacts from ten teams were mined from the IBM Rational Jazz repository. We employed social network analysis (SNA) to group practitioners into two clusters, Top Members and Others, based on the numbers of messages they communicated and their engagement in task changes. SNA metrics (density, in-degree and closeness) were then used to study practitioners’ importance in knowledge diffusion. Thereafter, we performed psycholinguistic analysis on practitioners’ messages using linguistic dimensions that had been previously correlated with the Big Five personality profiles.ResultsFor our sample of 146 practitioners we found that Top Members occupied critical roles in knowledge diffusion, and demonstrated more openness to experience than the Others. Additionally, all personality profiles were represented during teamwork, although openness to experience, agreeableness and extroversion were particularly evident. However, no specific personality predicted members’ involvement in knowledge diffusion.ConclusionTask assignment that promotes highly connected team communication networks may mitigate tacit knowledge loss in global software teams. Additionally, while members expressing openness to experience are likely to be particularly driven to perform, this is not entirely responsible for a global team’s success.     

SERVICE IDEALISM: THE SENSE PERCEPTION OF PERSONALITY

The importance of service has been a central topic of study regarding marketing research. Good services influence customer perception toward services. This study aims to discover the components of services idealism and how to optimize the service toward services idealism. This research uses Genetic Algorithm to analyze optimal result of service idealism based on personality psychology. The data was obtained from customers who ever dined in Wang Steak (290) and Tasty (112) restaurants in Taiwan. The result confirms service idealism is influenced by service quality and brand knowledge significantly. Customers who have extraversion personality are more influenced by reliability and awareness of restaurant. Neuroticism personality is more influenced by empathy and brand image. Agreeableness personality is more influenced by responsive. Conscientiousness and openness personality are more influenced by brand awareness and service tangibility. In summary, service idealism is influenced by brand awareness and tangible of services for both restaurants.     

Stimulating the Potential: Creative Performance and Communication in Innovation Teams

Creativity is essential to successful new product development efforts. Teams constitute the organizing principle in most modern innovation activities. Although creativity research has revealed many factors influencing individual creativity, little is known about how team‐level creativity is determined. Since the creative innovation task requires teams to combine and integrate input from multiple team members, the team's communication pattern is an important determinant of team creativity. Based on a sample of 44 NPD teams in eleven companies, this study examines the effects of team‐member communication on team creativity. It is found that both interaction frequency and subgroup‐formation of communication have a negative relationship to team creativity. Theoretical and practical implications are discussed, and further research is indicated.     

The Top Management Team,Reflexivity, Knowledge Sharing and New Product Performance: A Study of the Irish Software Industry

In the present study, we develop a model to predict new product performance incorporating the literature on top management team (TMT) composition, trustworthiness, knowledge sharing and task reflexivity in organizations. We hypothesize that diversity and trustworthiness in the TMT should influence knowledge sharing and reflexivity and reflexivity and knowledge sharing would be positively associated with new product performance. We test the model using data collected from 39 indigenous software firms in Ireland. Results indicate that age diversity was positively related to knowledge sharing ability while educational level, tenure and functional diversity of the TMT did not have any direct effect on reflexivity or knowledge sharing ability or motivation. However, educational level of TMT, tenure and age diversity had indirect effects on reflexivity and knowledge sharing through the intervening variable of TMT trustworthiness. Further, knowledge sharing and task reflexivity had direct effects on market new product performance. Implications for research and practice are discussed.     

Personality traits and concern for privacy: an empirical study in the context of location-based services

For more than a century, concern for privacy (CFP) has co-evolved with advances in information technology. The CFP refers to the anxious sense of interest that a person has because of various types of threats to the person's state of being free from intrusion. Research studies have validated this concept and identified its consequences. For example, research has shown that the CFP can have a negative influence on the adoption of information technology; but little is known about factors likely to influence such concern. This paper attempts to fill that gap. Because privacy is said to be a part of a more general ‘right to one's personality’, we consider the so-called ‘Big Five’ personality traits (agreeableness, extraversion, emotional stability, openness to experience, and conscientiousness) as factors that can influence privacy concerns. Protection motivation theory helps us to explain this influence in the context of an emerging pervasive technology: location-based services. Using a survey-based approach, we find that agreeableness, conscientiousness, and openness to experience each affect the CFP. These results have implications for the adoption, the design, and the marketing of highly personalized new technologies.