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.

Influence of ambidextrous governance mechanisms and risk management on repurchase intention in social commerce

2019 ◽  
Vol 29 (6) ◽  
pp. 1301-1323
Author(s):  
Jao Hong Cheng ◽  
Li Wei Lin ◽  
Liang Chien Lee
Keyword(s):  
Risk Management ◽  
Structural Equation ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Future Research ◽  
Research Model ◽  
Repurchase Intention ◽  
Social Commerce ◽  
Governance Mechanisms ◽  
Content Type

Purpose The purpose of this paper is to examine the factors influencing ambidextrous governance and risk management on repurchase intention in social commerce. Design/methodology/approach A novel research model comprises nine research hypotheses with six constructs, including three dimensions of social capital (structural, relational and cognitive), contracts, relational risk and repurchase intention. The hypotheses are tested on data collected from 395 usable responses in Taiwan, using structural equation modeling. Findings The findings of this study indicate that online merchants should reinforce their collaborative behavior and activities to improve ambidextrous governance mechanisms, and thus enhance repurchase intention. Research limitations/implications The resultant findings only reflect the setting of Taiwan’s social commerce marketplace. With the research model developed, future research on cross-country studies of various forms of social networking sites would be worth conducting to determine regional differences in the development of social commerce activities. Originality/value Ambidextrous governance mechanisms have been gaining attention in buyer–supplier relationships. Extending ambidexterity research to the social commerce domain, the authors focus on ambidextrous governance that can include social and contractual governance elements.

Exploring determinants of consumers' attitudes toward real-time bidding (RTB) advertising

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sixuan Zhang ◽  
Robin Wakefield ◽  
Jinsong Huang ◽  
Xi Li
Keyword(s):  
Real Time ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Cognitive Factors ◽  
Equation Modeling ◽  
Research Model ◽  
Privacy Concern ◽  
Negative Effects ◽  
Content Type

PurposeSince its inception in 2009, the growth of real-time bidding (RTB) advertising has been dramatic. Yet, there is a dearth of research in the information system (IS) literature despite the potential for negative e-commerce outcomes. The purpose of this paper is to identify salient antecedents of users’ attitude toward RTB advertisements.Design/methodology/approachA research model was constructed and tested with data from 437 respondents. SmartPLS 3.0, a partial least square (PLS) structural equation modeling (SEM) tool, was used to evaluate the research model and test the hypotheses.FindingsThe findings indicate that user attitude is determined by opposing influences from the cognitive and affective attributes of an RTB advertisement. A surprise is found to elicit greater perception of advertisement personalization, timeliness and relevance, as well as privacy and intrusiveness concerns. While RTB advertisement relevance appears to lessen the effect of advertisement intrusiveness, privacy concern is exacerbated when the advertisement is more personalized. The authors discuss the implications of this study for click-through intentions and e-commerce.Originality/valueAt this point in the evolution of RTB advertising, the findings indicate that the surprise generated by the appearance of an RTB advertisement is not currently a “bad” surprise. In addition, the formation of positive user attitude toward RTB is complex because cognitive factors interact with users' concerns to strengthen or weaken the negative effects. The authors also demonstrate that attitude and stimulus–organism–response (S–O–R) theories are useful theoretical bases for the development of causal models to predict RTB attitude and click-through intentions.

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.

How logistics capabilities offered by retailers influence millennials’ online purchasing attitudes and intentions

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jason M. Riley ◽  
Richard Klein
Keyword(s):  
Structural Equation ◽  
Online Shopping ◽  
Reasoned Action ◽  
Explanatory Power ◽  
Online Reviews ◽  
Shopping Behavior ◽  
Equation Modeling ◽  
Content Type ◽  
Online Purchase ◽  
Online Shopping Behavior

Purpose The purpose of this study is to understand consumers’ use of online retail channels. This study examines how tracking capabilities, delivery speed, trust, logistics carriers’ reputation, people important to the consumer and online reviews influence Millennials’ online purchasing attitudes and intentions. Design/methodology/approach A survey was administered to 321 Millennials. Subsequently, it was used to test both direct and indirect hypotheses using structural equation modeling techniques. Findings The study determined that tracking capabilities, trust, people important to the consumer and online reviews directly influence online purchase attitude and by extension intention formation. The results also revealed that logistics carrier reputation moderates the trust to online purchase attitude linkage. Research limitations/implications This work improves the explanatory power of the theory of reasoned action by linking logistics factors to online shopping behavior. Further, it provides insight into the moderating influence of logistics carriers’ reputation. Practical implications For retailers, the results provide information on how to better develop ecommerce service offerings. By providing information about logistics services and capabilities during the ecommerce transaction, retailers can improve the chance that consumers will complete online purchases. Originality/value This research fills a gap in the literature regarding how to influence millennial consumers. Moreover, findings strengthen the understanding of online-purchasing attitudes and intentions formation, important to retailers developing new online shopping platforms and technologies.

Winning engaged consumers

2019 ◽  
Vol 33 (2) ◽  
pp. 456-476 ◽  
Author(s):  
Saleh Bazi ◽  
Alireza Hajli ◽  
Nick Hajli ◽  
Mohana Shanmugam ◽  
Xiaolin Lin
Keyword(s):  
Social Support ◽  
Information Sharing ◽  
Information Exchange ◽  
Structural Equation ◽  
Structural Model ◽  
Value Theory ◽  
Equation Modeling ◽  
Social Commerce ◽  
Content Type ◽  
Brand Engagement

Purpose Under the sunlight of social commerce, few concepts have blossomed like value co-creation. But when blurred strategies are implemented, the opportunity to wilt a brand is high. To avoid the miscues and the controversies, an ascendant step is to engage consumers with social commerce sites. The purpose of this paper is to propose three antecedents to engage consumers with social commerce sites, namely, social support, social commerce value and social commerce information sharing, and the effect of brand engagement on the intention of brand co-creation. Design/methodology/approach This study used survey data from 234 Iranians with experience using social commerce sites. Variance-based structural equation modeling using the partial least squares path modeling approach was adopted to analyze the structural model. Findings The authors found that social support, social commerce value and social commerce information sharing positively foster brand engagement. The study also revealed that brand engagement is a significant predictor of brand co-creation intention. Originality/value The study is the first study that considers and explains brand engagement from social support theory, social commerce value theory and social commerce information exchange. Also, the study shows how consumers can be an integral part of a brand. Unlike other studies which were done in industrialized countries, this study was employed in Iran.

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.

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.

Consumers’ impulsive buying behavior of restaurant products in social commerce

2017 ◽  
Vol 29 (2) ◽  
pp. 709-731 ◽  
Author(s):  
Namho Chung ◽  
Hyo Geun Song ◽  
Hyunae Lee
Keyword(s):  
Structural Equation ◽  
Strong Predictor ◽  
Situational Factors ◽  
Equation Modeling ◽  
Social Commerce ◽  
Content Type ◽  
Hedonic Shopping Value ◽  
Hedonic Shopping ◽  
The Impact ◽  
The Relationship

Purpose First, this paper aims to investigate the impact of impulsiveness on two types of shopping value (e.g. utilitarian and hedonic value) and the urge to buy restaurant products and services impulsively in social commerce environments. Second, the study assesses the impact of situational factors (e.g. scarcity and serendipity) on individuals’ shopping values. Design/methodology/approach Data were collected from 332 participants. By using PLS-graph 3.0, structural equation modeling was conducted. Furthermore, a hierarchical regression model was conducted for testing the mediating and moderating effects. Findings The results indicate that impulsiveness is a strong predictor for two types of shopping value (hedonic and utilitarian) and the urge to buy impulsively. While the hedonic shopping value was found to have a significant influence on the urge to buy impulsively, utilitarian value was not. Scarcity was moderator in the relationships between impulsiveness and both types of shopping value, whereas serendipity was found to moderate only the relationship between impulsiveness and the utilitarian shopping value. Practical implications The findings show that the marketing managers and application developers of social commerce should place their focus on scarcity and serendipity to stimulate consumers in having a hedonic shopping value so to have an urge to buy impulsively. Originality/value First, although most previous studies focused on only rational or planned consumption, this study focused on irrational and unplanned consumption as well. Second, the authors assessed the role of situational factors (scarcity and serendipity) occurring in social commerce and asserted that these factors moderate the relationship between consumers’ shopping values and their urge to buy impulsively.

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