The Role of Online Social Network Travel Websites in Creating Social Interaction for Gen Y Travelers

2012 ◽  
Vol 15 (5) ◽  
pp. 458-472 ◽  
Author(s):  
Khaldoon ‘Khal’ Nusair ◽  
Anil Bilgihan ◽  
Fevzi Okumus
Info ◽  
2015 ◽  
Vol 17 (5) ◽  
pp. 66-81 ◽  
Author(s):  
ChienHsing Wu ◽  
Shu-Chen Kao ◽  
Hsin-Yi Liao

Purpose – The purpose of this study is to reveal the role of individual–social–technology fit in online social network (OSN) value development. The social software features (e.g. communication and interaction), social features (e.g. privacy and trust) and individual features (e.g. sense of belonging and self-disclosure) are considered fitting forms to describe the OSN value. Implications and suggestions are addressed. Design/methodology/approach – The literature review on social software, the social and individual characteristics and the research gap with respect to OSN value is presented. The research arguments are then hypothesized, and research model used to describe the proposed role is examined empirically. The research targeted mobile phone users as the subjects, and the extent of the activities of these users on OSN for both work and studies. A salient investigation explores the moderation effect of gender. The research results are obtained, and the findings are revealed on the basis of 468 social software users. Findings – The significant effect of individual–social–technology fit on OSN value development is presented through the satisfaction of both participation and sharing information, and knowledge about this fit is verified. The interplay of social software, social and individual features contributes significantly to individual–social–technology fit development, implying that OSN value development is not a single issue. OSN value development should be considered concurrently with technological, personal and social issues. Research limitations/implications – The empirical study confirms that fitness analysis produces a systematic outcome, in which all elements (e.g. social, technology and individual) are required to cooperate with one another to maximize the OSN value. An individual adopts online channels to communicate with others; thus, the benefits may be a multidimensional issue instead of only a single information service issue. They also consider building an equal social relationship to be important, as it enables diverse propositions, maintains acceptable privacy and behaves on faith to enhance the fit of technology features and individual features to value development. The subjects also likely accepted the fact that emotion generation is important for the advantage of fit of technology features and social features, thereby likely benefitting OSN value development. Originality/value – The OSN does not only add new values to the society but also brings new effects on social development, especially in terms of social cognition from virtual community formation, development and creation. Although existing studies in the literature present the important aspects and antecedents linked significantly to OSN value development, these studies also insufficiently discuss the effect of fit of these facets on OSN value development. This exploratory study mainly aims to propose and examine the individual–social–technology fit model through an empirical investigation. The main argument of the study is that when a positive and healthy virtual society is developed through social software, the individual and social characteristics, as well as the social software features, should be defined with a suitable fit to promote the social networking value.


2018 ◽  
Vol 58 (2) ◽  
pp. 174-187
Author(s):  
IMRAN ANWAR MIR

ABSTRACT Social media has produced substantial changes in the communication landscape. Online social network sites (SNS) grew as a common platform for online social interaction. SNS firms generate revenue from the advertising appearing on SNS. Their survival depends on users’ approval of such social network advertising (SNA). Marketing literature indicates that users accept advertising if it is consistent with their motivations for using social media. Information seeking is the most recognized SNS motivation. Yet, research on evaluating the influence of SNS information motivation on users’ approval of SNA is scarce. Based on SNS uses and gratifications theory, this study proposes a multidimensional model that shows the influence of SNS information motivation on users’ approval of SNA.


2021 ◽  
pp. 097325862110311
Author(s):  
Imran Anwar Mir

Social media platforms such as social network sites (SNS) have become an essential part of users’ everyday activities. Users frequently engage in SNS to socialise and access information. The business model of several SNS firms is rooted in advertising. The challenge for SNS firms is to make sure that users accept SNS advertising. Based on uses and gratifications theory (UGT) and motivated reasoning theory (MRT), the current research offers a motivational cognitive mechanism model of SNS advertising acceptance. To assess the applicability of this model, the current research assesses how pre-purchase and ongoing information seeking motivations via cognitive processes influence users’ SNS banner ad click behaviour. To attest the offered theory and hypotheses, an offline survey using self-administered questionnaire was conducted with 240 SNS users living in Pakistan. Data supported the proposed model and indicated that pre-purchase and ongoing SNS information seeking motivations via cognitive processes influence users’ SNS banner ad click behaviour.


2017 ◽  
Vol 55 (1) ◽  
pp. 49-95 ◽  
Author(s):  
Matthew O. Jackson ◽  
Brian W. Rogers ◽  
Yves Zenou

We survey the literature on the economic consequences of the structure of social networks. We develop a taxonomy of “macro” and “micro” characteristics of social-interaction networks and discuss both the theoretical and empirical findings concerning the role of those characteristics in determining learning, diffusion, decisions, and resulting behaviors. We also discuss the challenges of accounting for the endogeneity of networks in assessing the relationship between the patterns of interactions and behaviors. (JEL D12, D83, D85, K42, Z13)


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