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People's socializing behavior in social networking services (SNS) presents dramatically different features, forming differentiated online social interaction patterns (DOSIP) in SNS. This study aims to explore the relationships between users' multidimensional psychological needs and multiple social interaction patterns in SNS.

Based on Maslow's hierarchy of needs and use and gratifications (U&G) theory, the authors develop the research model to examine the effects of psychological needs on DOSIP. A survey is used to collect the data of SNS users' social interaction. The authors adopt structural equation modeling–neural network (SEM-NN) integrated method to examine the research model.

Need to belong, need for self-esteem, need for social contact, need for emotional expression, need for cognition, and need for external-esteem have significant influences on both active and passive social interactions respectively.

Based on the categorization of DOSIP into six types in terms of the level of activity and disclosure of social interaction, the authors construct an integrated research model of multidimensional psychological needs to multiple social interaction patterns, and validate the antecedents of DOSIP from the perspective of psychological needs.

Briefly reviews previous literature by the author before presenting an original 12 step system integration protocol designed to ensure the success of companies or countries in their efforts to develop and market new products. Looks at the issues from different strategic levels such as corporate, international, military and economic. Presents 31 case studies, including the success of Japan in microchips to the failure of Xerox to sell its invention of the Alto personal computer 3 years before Apple: from the success in DNA and Superconductor research to the success of Sunbeam in inventing and marketing food processors: and from the daring invention and production of atomic energy for survival to the successes of sewing machine inventor Howe in co‐operating on patents to compete in markets. Includes 306 questions and answers in order to qualify concepts introduced.

Practitioners need to understand how households will engage with connected-home technologies or risk the failure of these innovations. Current theory does not offer sufficient explanation for how households will engage; hence, this paper aims to address an important gap by examining how households set “rules of engagement” for connected-home technologies in the context of electricity use and monitoring.

A review of the extant psychology, technology and engagement literature is conducted and yields two research questions for exploration. The research questions are addressed via 43 in-depth household interviews. Analysis includes thematic analysis and computerized text analysis.

The results include a typology of technology engagement (the “PIP typology”) and discuss three main roles for technology in assisting households: intern, assistant and manager. Key contributions are as follows: consumers in household settings may experience “compromised engagement” where the perceived middle option is selected even if no-one selected that option originally; households open to using connected-home technologies are often taking advantage of their ability to “delegate” engagement to technology, and because consumers humanize technology, they also expect technology to follow social roles and boundaries.

Future research may examine the PIP typology quantitatively and/or in different contexts and would benefit from a longitudinal study to examine how household technology engagement evolves. Four research propositions are provided, which may form the basis for future research.

Recommendations for practitioners are presented regarding the benefits of keeping consumers at the heart of connected-home technology goods and services. Specific design principles are provided.

This paper fulfills the need to understand how households will engage with connected-home technologies and the roles this technology may fulfill in the complex household service system.

This paper investigates the impact of consumer relationships with brand communities on behavioral interactions on Instagram. The objective is to identify different types and stages of relationships between consumers and brand communities on Instagram using social penetration theory and explain the behavioral interactions of consumers resulting from these relationships across different stages.

A mixed method strategy was employed combining a qualitative multi-case study and an online survey. Eight individuals following restaurant and apparel brands on Instagram participated in the first study and 202 samples participated in the online survey.

Fifteen different types of relationships were identified between consumers and brand communities on Instagram and were classified into five stages ranging from orientation to de-penetration. The results reveal that behavioral interactions (i.e. consuming and participating) rise across the first four stages of brand community relationship development and fall down at the fifth stage.

This paper introduces new relationship types and stages and brings together different pieces of extant literature to explain the rising and falling of behavioral interactions resulting from consumer relationships with brand communities on Instagram.

This paper aims to investigate how social media usage by children determines their interactions with consumer brands. The paper also examines the nature of the processes evident.

A qualitative approach was implemented using both paired and single in-depth interviews of New Zealand children (both boys and girls) in the age group of 11-14 years. The data were analysed by thematic analysis of the interview transcripts.

The study demonstrates that children use three main processes – discerning, reacting and forming – when interacting with brands on social media. Each of these processes has different levels of interaction episodes depending on the amount of social media activity by each child. Discerning has noticing, a lower level of interaction and identifying which uses already internalised brand knowledge. Reacting consists of describing and evaluation which involves more active interaction resulting in opinion formation. Forming can involve a distant “watching” interaction or a more active relating behaviour when children are using multiple social media platforms.

The study identifies three key modes of brand interaction behaviour when young consumers use social media, which each have two interactions. The implication for marketers, parents and policymakers is that there is a range of behaviours, both passive and active, that children show when interacting with consumer brands when using social media.

The current study offers a way to deepen the understanding of how children approach online communications with brands in the social media context. The research finds that the children’s use of social media is more active and dynamic than previously thought, giving rise to connections with brands that are meaningful to the children. Specific codes of practice for online brand marketers may be necessary so that children are helped to understand the commercial intent of brand practices on social media.

The findings shed light on the range of interaction behaviour of young consumers, and such information provides insights into how children acquire brand knowledge, react to social media communication and decide the value of such communication for themselves. Brand marketers have a role to play in ensuring their brand communications practices avoid deception and clearly indicate commercial intent.

Investigating how children individually process brand information in a social media context provides insights into their interaction behaviour. These findings show differing levels of interest in both brand and social media activity amongst children.

The purposes of this paper are to (1) explore how personality traits pertaining to the dominance influence steadiness compliance model manifest themselves in terms of user interaction behavior on social media and (2) examine whether social interaction data on social media platforms can predict user personality.

Social interaction data was collected from 198 users of Sina Weibo, a popular social media platform in China. Their personality traits were also measured via questionnaire. Machine learning techniques were applied to predict the personality traits based on the social interaction data.

The results demonstrated that the proposed classifiers had high prediction accuracy, indicating that our approach is reliable and can be used with social interaction data on social media platforms to predict user personality. “Reposting,” “being reposted,” “commenting” and “being commented on” were found to be the key interaction features that reflected Weibo users' personalities, whereas “liking” was not found to be a key feature.

The findings of this study are expected to enrich personality prediction research based on social media data and to provide insights into the potential of employing social media data for the purpose of personality prediction in the context of the Weibo social media platform in China.

The purpose of this exploratory study is to expand the knowledge of the current literature stream and to attempt to more fully understand the simple but singularly unique aspect of social networking communication that is the Facebook “Like”. To this end, motivations behind liking a brand are explored, as well as the interactions that occur between the company and consumer as a result of this Facebook interaction. Next, we look at differing levels of interaction for liked product and service brands on Facebook. Specifically exploring if there are differences with how Facebook users engage with liked product and service brands.

The authors first engage in an exploratory, qualitative-based research to look at the motivations and consequences associated with liking product and service brands, using a sample of 160 Facebook users. Next, an ANOVA analysis is performed using an online sample of 264 respondents recruited from Amazon Mechanical Turk.

The qualitative analysis reveals differing motivations for liking brands on Facebook and suggests that generating Facebook Likes can indeed have positive, if unacknowledged, outcomes for the firm. Further, while there is no significant difference in perceptions of brand knowledge between product- and service-based brands, there is a significant difference in perceptions of brand connectedness between brand types, with consumers reporting a greater sense of connection to the service brands and higher levels of brand attitude and purchase intention for product-based brands. It is also shown that consumers have a greater intention of reading and liking posts from product-based brands.

This paper explores and attempts to move toward clarification of the gap that exists between “quality” versus “quantity” valuations of a Facebook Like.

This paper aims to visualize the communication processes between stakeholders who discuss, reach consensus and engage with user-generated ideas through an open innovation platform facilitated by Destination Management Organization (DMO).

Various discussion and interaction styles between the different types of stakeholders on the innovation platform are analyzed using quantitative content analysis. Likewise, perceived issues among the stakeholders that motivate collaboration and consensus are identified.

This paper identifies that stakeholders interact with each other, reach agreements and solve joint problems on the platform by using predominantly constructive interaction styles. Meanwhile, feasibility and strategic issues appear to be the most dominant topics when discussing the fruition of ideas; however, this depends significantly on the category of the idea.

DMOs are given an understanding of why and how stakeholders engage with a certain idea and the kind of challenges they perceive when pursuing the execution of an idea. DMOs are advised to carefully design an open innovation platform to facilitate effective online discussions that may lead to working groups.

There is a scarcity of approaches in the field of tourism that invite stakeholders to innovate. This study aims to close this gap in tourism research by identifying how and which stakeholders respond to an invitation from a DMO to engage in an open innovation platform and, subsequently, how they interact with other partners to foster collaborative innovation projects in their destination.

A public space is a place of significance when it fulfils the human need for social interaction and attachment. However, the scarcity of public spaces poses a challenge to support socialisation for people within a defined social and cultural group. The purpose of this paper is to explore the association between place attachment and social interaction within public spaces in the city centre of Kuala Lumpur, Malaysia.

Face-to-face interviews with urban users were conducted to examine the users’ engagement in three main public spaces in the city and the significance of these spaces to everyday social interaction. Field observations were carried out to examine patterns of users’ activities and interactions.

The authors uncover a lack of multi-functional spaces to support diverse forms of interactions in the city. A street has an important function to generate activities. However, spaces for people to sit and stay remain scarce, and are in most cases consumed by extended commercial use and thus considered private. Opportunities for social interaction are very limited. The significance of the places relates strongly to commercial and tourism functions, and hence place attachment evolves around those activities. Participants associated their familiarity and engagement with interaction between familiar people, close ethnic relationships and business acquaintances.

The authors argue that more robust and socially responsive public spaces should be reclaimed for the culturally diverse users.

Development of attachment through meaningful spaces for people to stay and interact could enhance the role of public spaces in the city.

By understanding the social meanings of places, particularly in a multi-cultural setting, a stronger basis for designing and managing urban places towards resiliency and social sustainability can be provided.

Community-engaged partnerships have the ability to combine expertise and resources to enhance the local STEM learning ecosystem, by engaging the actors in communities that can enhance students' experiences in science, technology, engineering and mathematics (STEM) education. Texas Tech University (TTU) and Lubbock Independent School District (LISD) have partnered to coordinate an annual STEM Challenge to encourage STEM learning and interest among local middle grade students. Each summer, teams of (three to four) students from ten LISD middle schools participate in a week-long engineering design challenge, facilitated by TTU undergraduate mentors and their teachers, structured by the Engineering Design Process (EDP).

Quantitative (survey) and qualitative (open-ended responses) data from two years of student glider and hovercraft projects offer insight into how 66 students developed STEM knowledge and leveraged 21^st-century skills to accomplish a shared aim (design challenge).

Findings suggest growth in students' 21^st-century skills, most among underrepresented (racial, ethnic and gender minority) groups. Data from year one (2018) informed year two (2019) in both programming and the research, including enhanced training for mentors and a deeper exploration of students' experiences during each stage of the EDP during the STEM challenge.

Significant and salient findings are discussed along with recommendations for both programmatic and methodological improvements for year three (2020). This study provides insight into how to structure similar community-engaged partnerships in enhancing the community STEM ecosystem through collaborative STEM experiences for diverse, younger learners.