Acceptance and use predictors of fitness wearable technology and intention to recommend

2019 ◽  
Vol 119 (1) ◽  
pp. 170-188 ◽  
Author(s):  
Md Shamim Talukder ◽  
Raymond Chiong ◽  
Yukun Bao ◽  
Babur Hayat Malik
Keyword(s):  
Diffusion Of Innovation ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Least Squares Method ◽  
Theoretical Models ◽  
Wearable Technology ◽  
Equation Modeling ◽  
Research Model ◽  
Content Type ◽  
Social Marketing Campaigns

Purpose The purpose of this paper is to identify the key facilitators and inhibitors of fitness wearable technology (FWT) adoption and the intention to recommend this technology. Design/methodology/approach An innovative and integrated research model was developed by combining constructs from two well-established theoretical models, the extended unified theory of acceptance and use of technology (UTAUT2) and diffusion of innovation (DOI). The proposed research model was empirically validated using data collected from 392 respondents in China. The data was analyzed using the partial least squares method, a statistical analysis technique based on structural equation modeling. Findings The results indicate that performance expectancy, effort expectancy, social influence, habit, compatibility and innovativeness have significant direct and indirect effects on FWT adoption and the intention to recommend it. The significance of people’s intention to recommend FWT to others in social networking sites (e.g. Facebook, Weibo, and WeChat) is also confirmed. Practical implications The findings may facilitate the design and implementation of FWT products, applications and functionalities that can achieve high consumer acceptance and positive recommendations in social networks. Originality/value This study is among the first to investigate FWT adoption from behavioral, social and environmental perspectives. It also highlights the importance of social marketing campaigns and suggests directions of future wearable technology adoption research.

The effect of clustering on competitiveness improvement in Hebron

2017 ◽  
Vol 28 (5) ◽  
pp. 631-654 ◽  
Author(s):  
Ibrahim M. Awad ◽  
Alaa A. Amro
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Model Building ◽  
Measurement Model ◽  
Background Information ◽  
Equation Modeling ◽  
Future Research ◽  
Research Model ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to map the cluster in the leather and shoes sector for improving the competitiveness of the firms. Toward this end, the study is organized to examine the impact of clustering on competitiveness improvement. The influence of competitive elements and performance (Porter’s diamond) and balanced score card was utilized. Design/methodology/approach A random sample of 131 respondents was chosen during the period from May 2016 to July 2016. A structural equation modeling (SEM) analysis was applied to investigate the research model. This approach was chosen because of its ability to test casual relationships between constructs with multiple measurement items. Researchers proposed a two-stage model-building process for applying SEM. The measurement model was first examined for instrument validation, followed by an analysis of the structural model for testing associations hypothesized by the research model. Findings The main findings show that there is a unidirectional causal relationship between improvements of performance and achieve competitiveness and also reveal that the Palestinian shoes and leather cluster sector is vital and strong, and conclude that clustering can achieve competitiveness for small- and medium-sized enterprises. Research limitations/implications Future research can examine the relationship between clustering and innovation. The effect of clustering using other clustering models other than Porter’s model is advised to be used for future research. Practical implications The relationships among clustering and competitiveness may provide a practical clue to both, policymakers and researchers on how cluster enhances economic firms such as a skilled workforce, research, development capacity, and infrastructure. This is likely to create assets such as trust, synergy, collaboration and cooperation for improved competitiveness. Originality/value The findings of this study provide background information that can simultaneously be used to analyze relationships among factors of innovation, customer’s satisfaction, internal business and financial performance. This study also identified several essential factors in successful firms, and discussed the implications of these factors for developing organizational strategies to encourage and foster competitiveness.

Military acceptance of the Internet of Things: a research model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rabia Saylam ◽  
Abdulkadir Ozdemir
Keyword(s):  
Internet Of Things ◽  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Structural Equation ◽  
Negative Relationship ◽  
The Internet ◽  
Research Model ◽  
Content Type ◽  
The Military ◽  
The Internet Of Things

Purpose This study aims to examine the perception of military people regarding the use of a network of various intelligent objects, the Internet of Things (IoT), in the future battlespace. Design/methodology/approach A research model that analyzes military acceptance of the IoT is proposed. The model is created by integrating the technology acceptance model and diffusion of innovation theory. Then an empirical study is conducted through a survey, and the proposed hypotheses are tested. The findings are obtained thanks to the structural equation model (SEM), which clearly reveals the overall dependency relationship among independent and dependent variables even when a dependent variable is an independent variable in another relationship. Findings The study clearly reveals the significant factors effecting the attitude toward the use of IoT in the military. It also uncovers potential barriers to the adoption of IoT in the military domain. Especially, risk factor seems to have no significant impact on the acceptance of IoT, and also, there seems to be a positive relationship between risk and trust contrary to an expected negative relationship. Originality/value To the best of the authors’ knowledge, this study is the first research analyzing the acceptance of IoT in the military domain through hypotheses in a SEM.

Enterprise social network (ESN) systems and knowledge sharing: what makes it work for users?

2019 ◽  
Vol 50 (2) ◽  
pp. 305-327
Author(s):  
Abhishek Kalra ◽  
Rupashree Baral
Keyword(s):  
Social Network ◽  
Knowledge Sharing ◽  
Structural Equation ◽  
Least Squares Method ◽  
Equation Modeling ◽  
Top Management ◽  
Management Support ◽  
Cross Sectional ◽  
Content Type ◽  
Enterprise Social Network

Purpose Enterprise Social Network (ESN) systems have emerged as the technology of choice to bolster and support organizational efforts for harnessing embedded knowledge. However, a lack of understanding about it limits the optimization of its potential. Hence, this paper aims to assess the role of hedonic motivation, network externalities (NE) and top management support in conjugation with the unified theory of acceptance and use of technology theory to understand ESN’s usage for knowledge sharing. Design/methodology/approach Data were collected from 187 ESN users through a survey questionnaire and subsequently analyzed using variance-based structural equation modeling using the partial least squares method. Findings ESNs are used both for utilitarian and hedonic purposes. Furthermore, the results also bring out the importance of externalities arising from an extensive network of users and complimentary services, as well as support regarding resources and recognition from the top management toward reinforcing the benefits of using ESNs. Research limitations/implications This study advances earlier knowledge by assessing the actual usage of ESNs for knowledge sharing. It takes into consideration multiple input variables, namely, performance expectancy, effort expectancy, NE amongst others to best resonate with the key factors driving its adoption and usage by an individual. However, because of the cross-sectional research design, causality can only be inferred. Practical implications The organizations are recommended to have in place the measures for attaining optimal usage of ESNs, and in turn, witness knowledge moves around in ways unfathomable. Steps should be taken to develop tools and ecosystems to provide users affordances for both increasing productivity, as well as opportunities for gaining pleasure. Originality/value This study is one of its kind effort to synthesize the knowledge about the ESNs in an Indian context. It provides fascinating insights into the determinants of intention and usage of ESNs for knowledge sharing.

The effect of information privacy concern on users' social shopping intention

2020 ◽  
Vol 44 (5) ◽  
pp. 1119-1133 ◽  
Author(s):  
Tao Zhou
Keyword(s):  
Structural Equation ◽  
Information Privacy ◽  
Shopping Behavior ◽  
Equation Modeling ◽  
Research Model ◽  
Privacy Concern ◽  
Social Commerce ◽  
Complete Understanding ◽  
Content Type ◽  
Social Shopping

PurposeThe purpose of this research is to examine the effect of information privacy concern on users' social shopping intention.Design/methodology/approachBased on the 340 valid responses collected from a survey, structural equation modeling (SEM) was employed to examine the research model.FindingsThe results indicated that while disposition to privacy positively affects privacy concern, both reputation and laws negatively affect privacy concern, which in turn decreases social shopping intention. In addition, trust partially mediates the effect of privacy concern on social shopping intention.Research limitations/implicationsThe results imply that social commerce companies need to mitigate users' privacy concern in order to facilitate their shopping behavior.Originality/valueThis research disclosed that privacy concern receives a tripartite influence from users (disposition to privacy), platforms (reputation) and governments (laws). The results help us gain a complete understanding of information privacy concern mitigation in social shopping.

The effects of employer SNS motioning on employee perceived privacy violation, procedural justice, and leave intention

2018 ◽  
Vol 118 (6) ◽  
pp. 1153-1169 ◽  
Author(s):  
Hung-Yue Suen
Keyword(s):  
Data Collection ◽  
Procedural Justice ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Intent To Leave ◽  
Equation Model ◽  
Equation Modeling ◽  
Full Time ◽  
Initial Examination ◽  
Content Type

Purpose The purpose of this paper is to propose a model to understand how and when employees’ perceived privacy violations and procedural injustice interact to predict intent to leave in the context of the use of social networking sites (SNSs) monitoring. Design/methodology/approach This study was conducted in a field setting of Facebook to frame the hypotheses in a structural equation model with partial least squares-structural equation modeling. Variables were measured empirically by administering questionnaires to full-time employed Facebook users who had experienced SNS monitoring. Findings The results showed that when an employee believed that he/she had more ability to control his/her SNS information, he/she was less likely to perceive that his/her privacy had been invaded; and when an employee believed that the transparency of the SNS data collection process was higher, he or she was more likely to perceive procedural justice in SNS monitoring. Research limitations/implications This research draws attention to the importance of intent to leave in the absence of perceived procedural justice under SNS monitoring, and the partial mediation of the perception of justice or injustice by perceived privacy violations. Practical implications For employers, the author recommends that employers come to know how to conduct SNS monitoring and data collection with limited risk of employee loss. Social implications For employees, the author suggests that SNS users learn how to control their SNS information and make sure to check their privacy settings on the SNS that they use frequently. Originality/value This study provided an initial examination and bridged the gap between employer use of SNS monitoring and employee reactions by opening a mediating and moderating black box that has rarely been assessed.

Estimating green purchase behavior: an empirical study using integrated behavior model in Bangladesh

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md. Zillur Rahman Siddique ◽  
Goutam Saha ◽  
Aminur Rahman Kasem
Keyword(s):  
Perceived Control ◽  
Purchase Intention ◽  
Structural Equation ◽  
Purchase Behavior ◽  
Equation Modeling ◽  
Behavior Model ◽  
Research Model ◽  
Content Type ◽  
Green Behavior ◽  
Practical Implications

Purpose This paper aims to examine the exogenous effects of experiential attitude toward green (EAG), instrumental attitude toward green (IAG), injunctive norms on green (ING), descriptive norms about green (DNG), green perceived control (GPC) and green self-efficacy (GSE) on green purchase intention (GPI). Moreover, this paper also investigates the causal factors of green purchase behavior (GPB) considering green knowledge (GK), the salience of green behavior (SGB), environmental constraints (ECPG) and green habit (GH). Design/methodology/approach The research model was adopted to measure the green behavior of Bangladeshi consumers using an integrated behavior model (IBM). The data were randomly collected from 372 respondents and partial least squares structural equation modeling (PLS-SEM) approach was used to test the hypotheses. Findings PLS results imply that all independent variables (EAG; IAG; ING; DNG; GPC and GSE) impact GPI; and SGB, GH and GPI influence GPB. On the other hand, GK and ECPG have no significant effect on GPB. Research limitations/implications There may present a gap in the outcomes of the study to signify the generalizability because the survey was conducted in some cities of Bangladesh which may not represent the country as a whole. Practical implications This study anticipates the cause-effect relationship between GPI, GPB and their determinants. The results of the study can help marketers understand green consumer behavior and design appropriate strategies and tactics for new marketing challenges. Originality/value This research investigates green purchase behavior in a developing country. It empirically confirms the validity of IBM in assessing green behavior, especially for Bangladesh, a booming economy and suitable for investment. Although ample research explored green purchase behavior, green habit and saliency have not been considered in measuring green purchase behavior.

Exploring adaptive information sharing from the perspective of cognitive switching

2019 ◽  
Vol 71 (4) ◽  
pp. 535-557 ◽  
Author(s):  
Xianjin Zha ◽  
Haijuan Yang ◽  
Yalan Yan ◽  
Guanxiang Yan ◽  
Chengsong Huang ◽  
...  
Keyword(s):  
Information Sharing ◽  
Structural Equation ◽  
Information Technologies ◽  
Equation Modeling ◽  
Research Model ◽  
It Use ◽  
Content Type ◽  
Technology System ◽  
Use Behavior ◽  
Cognitive Switching

Purpose Microblogging as one kind of social media application provides an important information sharing platform. Adaptive information sharing is the combination of adaptive information technologies (IT) use behavior and information sharing behavior and subsequently refers to adaptive use of IT oriented to information sharing. The purpose of this paper is to understand adaptive information sharing in the context of microblogging from the perspective of cognitive switching. Design/methodology/approach A research model was developed and survey data were collected. The partial least squares structural equation modeling was employed to verify the research model. Findings Adaptive information sharing is positively impacted by other people’s use, discrepancies and deliberate initiatives among which other people’s use is the key determinant. Meanwhile, task self-efficacy positively moderates the effect of other people’s use on adaptive information sharing. Practical implications Developers of microblogging should as far as possible create learning atmosphere and learning culture. With learning atmosphere and culture, more and more users could keep on learning from observing other people. Consequently, more and more users would be willing to try new features of microblogging to share information. Originality/value This study examines adaptive information sharing by extending adaptive IT use behavior from the levels of technology, system and feature to the information level, presenting a new lens for adaptive IT use and information sharing alike.

Understanding extended information seeking

2020 ◽  
Vol 72 (5) ◽  
pp. 705-724
Author(s):  
Xianjin Zha ◽  
Chengsong Huang ◽  
Yalan Yan ◽  
Guanxiang Yan ◽  
Xue Wang ◽  
...  
Keyword(s):  
Digital Libraries ◽  
Information Seeking ◽  
Structural Equation ◽  
Psychological Empowerment ◽  
Structuration Theory ◽  
Equation Modeling ◽  
Specific Information ◽  
Research Model ◽  
Content Type ◽  
Positive Effect

PurposeThis study aims to explore the mechanisms of extended information seeking, which is the combination of extended information technologies (IT) use behavior and information-seeking behavior. The purpose is to identify the factors that shape extended information seeking from the perspectives of psychological empowerment and attachment.Design/methodology/approachA research model was developed based on prior theory and literature. Survey data were collected, and the partial least squares (PLS) structural equation modeling was used to verify the research model.FindingsPsychological empowerment is a well-constructed second-order construct, having a larger positive effect on extended information seeking. Digital libraries attachment has a positive effect on extended information seeking.Practical implicationsAccessing digital libraries does not mean using digital libraries effectively. Managers of digital libraries should design various specific information activities to help users enhance psychological empowerment. They should provide more available and responsive services for users to enhance digital libraries attachment.Originality/valueDrawing on the adaptive structuration theory, this study examines extended information seeking by combining extended use of digital libraries and information seeking, presenting a new lens for digital library and information seeking research.

Examining social capital on mobile SNS: the effect of social support

2016 ◽  
Vol 50 (4) ◽  
pp. 367-379 ◽  
Author(s):  
Tao Zhou
Keyword(s):  
Social Support ◽  
Social Capital ◽  
Emotional Support ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Research Model ◽  
Content Type ◽  
Mobile Social Networking ◽  
Equation Modelling ◽  
Mobile Sns

Purpose The purpose of this paper is to examine the effect of social support on social capital in mobile social networking sites. Design/methodology/approach Based on the 234 valid responses collected from a survey, structural equation modelling was employed to examine the research model. Findings The results indicated that social support, which includes informational support and emotional support, has a significant effect on social capital that consists of structural, relational and cognitive capital. Originality/value Although previous research has found the effect of social capital on user behaviour, it has seldom identified the determinants of social capital. Thus, how to build and develop social capital remains a question. This research examined the effect of social support on social capital.

Innovation with IS usage: individual absorptive capacity as a mediator

2014 ◽  
Vol 114 (8) ◽  
pp. 1110-1130 ◽  
Author(s):  
Weiwei Wang ◽  
Luning Liu ◽  
Yuqiang Feng ◽  
Tienan Wang
Keyword(s):  
Absorptive Capacity ◽  
Business Intelligence ◽  
Structural Equation ◽  
Equation Modeling ◽  
Research Model ◽  
Content Type ◽  
Is Implementation ◽  
Business Intelligence Systems ◽  
Investment Returns ◽  
Innovation Model

Purpose – After information systems (IS) implementation, many organizations report that system underutilization causes the failure to meet expected IS investment returns. It is imperative to understand the way to leverage employees’ fullest potential in the IS usage. The paper aims to discuss these issues. Design/methodology/approach – Anchoring on absorptive capacity (ACAP) theory, the authors develop an employee innovation model. Using survey data and structural equation modeling, this research investigates how perceived organizational levers affect innovation with IS usage (INVU) by introducing individual ACAP as a mediator. Findings – The authors find general support for the research model through a survey of 205 employees using SAP business intelligence systems in China. The empirical data shows that three interrelated components of individual ACAP significantly contribute to INVU. The findings also suggest that, both fairness of reward and job autonomy are key organizational levers for the utility of individual ACAP. Furthermore, their effects on INVU can be fully mediated by individual ACAP. Originality/value – The authors empirically unpack and validate individual ACAP in IS innovation situation. The findings provide academics and practitioners with an understanding of how management can inspire employees’ potential in implemented system innovation.

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