scholarly journals Examining Self-Disclosure on Social Networking Sites: A Flow Theory and Privacy Perspective

Author(s):  
Aseda Mensah ◽  
George Oppong Appiagyei Ampong ◽  
Adolph Sedem Yaw Adu ◽  
John Agyekum Addae ◽  
Osaretin Kayode Omoregie ◽  
...  

Social media and other web 2.0 tools have provided users the platform to interact and also disclose personal information not only with their friends and acquaintances, but also with relative strangers with unprecedented ease. This has enhanced the ability of people to share more about themselves, their families, and their friends through a variety of media including text, photo, and video, thus developing and sustaining social and business relationships. The purpose of the paper is to identify the factors that predict self-disclosure on social networking sites within the Ghanaian context. Data was collected from 452 students in three leading universities in Ghana and analyzed with Partial Least Square-Structural Equation Modeling. Results from the study revealed that all variables in the proposed model with the exception of interaction and perceived control were significant predictors of self-disclosure with privacy risk being the most significant predictor. In all, the model accounted for 54.6 percent of the variance in self disclosure. The implications and limitations of the current study are discussed and directions for future research proposed.

2018 ◽  
Vol 57 (5) ◽  
pp. 1131-1159 ◽  
Author(s):  
Felix N. Koranteng ◽  
Isaac Wiafe ◽  
Eric Kuada

This article investigates how students’ online social networking relationships affect knowledge sharing and how the intensity of knowledge sharing enhances students’ engagement. It adopts the social capital theory as the basis for investigation, and the partial least square structural equation modeling was used to examine the hypothesized model. Responses from 586 students in higher education were analyzed. The findings provided empirical evidence which contradicts the argument that students perceive social networking sites as an effective tool for learning. Also, contrary to previous studies which posit that knowledge sharing impacts engagement, it was observed that there is no relationship between the two. However, as social networking sites differ in terms of member behavior norms, it is envisaged that if a similar study is conducted and limited to a specific academically inclined social networking site such as Academia.edu, ResearchGate, Mendeley, and so on, different findings may be observed.


2018 ◽  
Vol 7 (4.38) ◽  
pp. 760
Author(s):  
Norazah Mohd Suki ◽  
Norbayah Mohd Suki

This research aims to investigate the predictors of mobile addiction. The data was analyzed using Partial Least Square-Structural Equation Modelling (PLS-SEM) approach supported by Smart-PLS 2.0 to assess the hypothesis in the research model. The PLS-SEM technique revealed that there was a strong correlation between social networking sites (SNS) intensity and mobile addiction. Users have positively expressed that visiting SNS is part of their everyday activity as they tend to check their SNS almost every day. They have this perception that they will feel out of touch when they do not log into their SNS for a day. In addition, they feel as if they are part of the community of SNS on campus. Those with many SNS accounts have a strong tendency to install and use mobile social networking apps on their mobile phones to connect and communicate with others. These heavy users frequently use their mobile phone to log into their social network via preferred social networking apps and actively use it to check the SNS.  The direction for future research is also presented. 


2014 ◽  
Vol 10 (4) ◽  
pp. 52-70 ◽  
Author(s):  
Tathagata Ghosh ◽  
Venu Gopal Rao

This study aims to examine effects of consumer confusion proneness on two consumer behavior variables, word of mouth and buying decision, in a confusion prone product market like smartphone and mobile applications (app). Additionally, the study examines the moderating influence of a personality trait variable pertinent to information processing – need for cognition, on the afore-mentioned relationships. Data were collected via a survey from 254 post-graduate students and analyzed with the help of structural equation modeling with a partial least square (PLS) approach using SmartPLS 2.0. Research findings indicate that the dimensions of consumer confusion proneness behave differently in terms of their linkages with consumer behavior. Further, as expected, consumers' need for cognition also play a major moderating role which helps to fathom the concept of consume confusion in the context of mobile and smartphone applications. Academic and managerial implications as well as scope for future research are also discussed.


2018 ◽  
Vol 2 (1) ◽  
pp. 29-43
Author(s):  
Xin Jean Lim ◽  
Eugene Cheng-Xi Aw ◽  
Kenny Guan-Cheng Teoh

This study investigates the factors influencing repurchase intention in online shopping context.Self-efficacy and trust were integrated with Unified Theory of Acceptance and Use of Technology (UTAUT) components, namely performance expectancy and effort expectancy in explaining online repurchase intention. It was hypothesized that performance expectancy, effort expectancy, self-efficacy, and trust influence satisfaction and online repurchase intention. Satisfaction was posited to mediate the relationships between the proposed antecedents and online repurchase intention. 211 use able responses were collected through purposive sampling method and the data was analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM). All proposed hypotheses were supported except the effects of effort expectancy and performance expectancy on online repurchase intention. All mediating effects of satisfaction proposed were found to be significant. Based on the findings, implications and future research directions were discussed.


Humanomics ◽  
2016 ◽  
Vol 32 (3) ◽  
pp. 352-375 ◽  
Author(s):  
Soheil Kazemian ◽  
Rashidah Abdul Rahman ◽  
Zuraidah Mohd Sanusi ◽  
Abideen A. Adewale

Purpose Without prejudice to the efficacy of other poverty alleviation mechanisms, micro-financing arguably enjoys relative prominence. However, notwithstanding the remarkable loan repayment rate that the microfinance firms report, they still face the challenge of sustainability. The paper aims to provide insights into how three dimensions of market orientation, namely, customer orientation, competitor orientation and inter-function coordination, affect the two aspects of the sustainability of microfinance institutions (MFIs; management and financial). Design/methodology/approach To achieve this goal, this study focuses on Amanah Ikhtiar Malaysia (AIM), a leading microfinance provider which is also the largest MFI in South East Asia. Data elicited via a survey questionnaire administered on 190 management staff of AIM across Malaysia are subjected to statistical analysis via the partial least square-structural equation modeling using SmartPLS 2.0. Findings The results provide empirical evidences that indicate that management sustainability is significantly influenced by customer orientation and inter-function coordination. However, only customer orientation affects the financial sustainability of AIM. Nevertheless, competitor orientation has non-significant effects on both aspects of sustainability of AIM. Research limitations/implications The result of the paper contributes to the literature in understanding the long-term sustainable financial and social performance-based market orientation. Originality/value Findings are useful for policy makers, management of MFIs, practitioners and academics to enhance microfinance system. Managerial implications, limitation of the study and suggestions for future research are also included.


2020 ◽  
Vol 38 (4) ◽  
pp. 917-932
Author(s):  
Johra Kayeser Fatima ◽  
Rita Di Mascio ◽  
Ali Quazi ◽  
Raechel Johns

PurposeThis study aims to capture the mediation role of customer–frontline employee rapport on customer satisfaction and affective, calculative and normative commitment by using three alternative models. It also verifies the moderation effect of relationship age on the rapport-satisfaction link in each alternative model.Design/methodology/approachThe survey data collected from bank customers were analyzed using structural equation modeling (SEM) with the partial least square (PLS) method.FindingsResults confirmed rapport as a significant mediator between satisfaction and each of the three types of commitment. Relationship age significantly moderates the links between rapport to affective and normative commitment but not to calculative commitment.Research limitations/implicationsAdditional findings from “importance–performance analysis” suggest that satisfaction is more import to customers than rapport for developing commitment, so further investigations can reveal the underlying reasons. Also, complementary mediation shows one or more missing mediators, which calls for future research.Practical implicationsManagers need to use rapport strategically with customers in different relationship ages to build different types of commitment. Specific tactics to build rapport and possible long run implications for developing affective, calculative and normative commitment have been discussed in the “note to practitioner” section.Originality/valueUsing “broaden-and-build” theory, the study extends the literature by confirming the mediation influence of rapport on satisfaction and three types of commitment relationships.


2021 ◽  
pp. 2516600X2199194
Author(s):  
Anil Kumar ◽  
Suman Lata

The present era sees an increasing trend of online purchasing all over the globe, and India is no more an exception. India is likely to become the hub for online market because it is second in terms of population in the world. The study is an effort to understand whether system quality really matters for customer satisfaction, particularly in developing countries, and the website quality works as a mediator or not. The study proposes the theoretical framework of the impact of system quality on customer satisfaction after a rigor literature review. With the help of purposive sampling, data were collected and model tested using partial least square structural equation modeling (PLS-SEM). The results show that system quality and website quality have a direct and positive impact on customer satisfaction and website quality partially mediated. Based on these empirical findings, managerial implications, limitations, and recommendations for further future research are given in the study.


2018 ◽  
Vol 2 (1) ◽  
pp. 44-58
Author(s):  
Athanasia An Nointin

The objective of this paper is to assess the predictive influence of internal marketing on employee job satisfaction and turnover intention of frontline employees of travel agencies in Sabah. Specifically, the study aims to investigate the extent to which each of the four dimensions of internal marketing (internal communication, reward system, working condition and training) affects employee job satisfaction and the intention to leave the organization.Conceptually, this study extends the concept of Internal Marketing by re framing it as a formative hierarchical construct and modeling its impact on job satisfaction and turnover intention. The two-stage approach was adopted in partial least square structural equation modeling to examine the hierarchical modeling of internal marketing. The findings suggest that internal marketing is a significant predictor of job satisfaction and indirectly influences employees‟ turnover intention. The conceptualization of internal marketing as reflective formative type of second order model was justified in this study. Other than the conceptual and empirical contribution, this study also offers an alternative method in modeling internal marketing of which could be adopted in future research.


2020 ◽  
Vol 19 (03) ◽  
pp. 2050018
Author(s):  
Md. Ziaul Haque ◽  
Aimin Qian ◽  
Muhammad Amin ◽  
Tania Islam

Due to the outstanding growth of geotagging technology usage among the social networking sites (SNSs) users, research is needed to better understand how SNSs users accept and use this technology. This study explores the factors that affect the adoption of geotagging technology among the SNSs users integrating personal innovativeness in IT (PIIT) with UTAUT. By using structured questionnaire survey, 390 data were collected. Statistical analysis techniques, such as SPSS AMOS and partial least square method, based on structural equation modelling (SEM), were used to analyse the collected data. Integrated UTAUT fulfills all criterion of model fitness. Interestingly, PIIT properly explains the personal characteristics of SNSs users in UTAUT framework. PIIT has impact on all UTAUT exogenous constructs except effort expectancy as well as on behavioural intention. Two new paths among the predictor variables (e.g. facilitating condition to effort expectancy and effort expectancy to performance expectancy) are statistically significant. All constructs of UTAUT except effort expectancy have substantial positive effect on SNSs users’ intention to adopt geotagging technology. Geotagg’s use frequency strongly moderated the different relationships in the integrated UTAUT model. The study will succor different tourism firms, restaurants and SNSs service providers to maximise the adoption of geotagging technology use. It contributes to knowledge by adding new moderator, new paths as well as integrating personal characteristics (e.g. PIIT) in UTAUT.


2021 ◽  
Vol 13 (3) ◽  
pp. 1220
Author(s):  
Ashraf Sharif ◽  
Saira Hanif Soroya ◽  
Shakil Ahmad ◽  
Khalid Mahmood

Self-disclosure on social networking sites (SNSs) leads to social capital development, connectedness, and relationship building. Due to several benefits associated with this behavior, self-disclosure has become a subject of research over the last few years. The current study investigates the antecedents of self-disclosure under the lens of the technology acceptance model (TAM). The research is quantitative, and the data were collected from 400 Pakistani Facebook users with a variety of demographic characteristics. The partial least squares-structural equation model (PLS-SEM) analysis technique was employed to analyze the data. The study′s findings confirmed that perceived usefulness is a strong predictor of personal information sharing, and it along with other variables causes a 31% variation in self-disclosure behavior. However, trust (medium and social) mediates the relationshipof perceived usefulness, privacy concerns, and self-disclosure behavior.


Sign in / Sign up

Export Citation Format

Share Document