Collaborative consumption: the role of familiarity and trust among Millennials

2018 ◽  
Vol 35 (4) ◽  
pp. 377-391 ◽  
Author(s):  
Christoph Mittendorf
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Research Model ◽  
Collaborative Consumption ◽  
Content Type ◽  
User Intentions ◽  
Structural Relationships ◽  
Confirmatory Factor ◽  
The Impact

PurposeThis paper aims to focus on online hospitality platforms in the collaborative consumption environment. In particular, this paper investigates the impact of trust on the obtainers’ intentions to “inquire about accommodations” and to “request a booking” on Airbnb.com.Design/methodology/approachThis paper takes the perspective of a potential renter, respectively, obtainer and adopts Gefen’s (2000) research model, which incorporates familiarity and trust in the e-commerce industry. In this regard, the paper extends the work on two-sided markets of Mittendorf (2016-2017). To verify the modified research model, a survey was conducted, gathering results from over 426 participants of which 255 valid responses from the Millennials generation were obtained. This paper uses covariance-based structural equation modeling to analyze both measurement and structural relationships regarding the interaction framework.FindingsThe results show empirical evidence that both “trust in the intermediary” and “trust in providers” are decisive for the obtainers’ intentions on the online platform. In this regard, this paper advances the understanding of the collaborative consumption mechanisms by adapting trust literature to validate the obtainers’ intentions on contemporary collaborative consumption platforms.Research limitations/implicationsWhile the unit of analysis of prior research comprises the general intention to share, this paper empirically validates a more deliberate decision of user intentions by focusing on the intention to inquire about accommodations (no registration necessary) and the intention to request a booking (registration necessary). However, this study is dependent on one setting and it is still unclear whether the results are generalizable to other collaborative consumption setups.Originality/valueThis paper is in line with the work of Mittendorf (2016-2017), thus, it uses a sophisticated statistical approach to analyze trust in the collaborative consumption environment, such as confirmatory factor analysis and structural equation modeling.

Should I suggest this YouTube clip? The impact of UGC source credibility on eWOM and purchase intention

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mazzini Muda ◽  
Muhammad Iskandar Hamzah
Keyword(s):  
Social Media ◽  
Structural Equation Modeling ◽  
Purchase Intention ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Source Credibility ◽  
Equation Modeling ◽  
Content Type ◽  
The Social ◽  
The Impact

PurposeIn spite of the increasing organic and interactive marketing activities over social media, a general understanding of the source credibility of voluntary user-generated content (UGC) is still limited. In line with the social identity theory, this paper examines the effects of consumers' perceived source credibility of UGC in YouTube videos on their attitudes and behavioral intentions. Additionally, source homophily theory is included to predict the antecedent of source credibility.Design/methodology/approachThree hundred and seventy two Generation Y respondents were interviewed using snowball sampling. Data were analyzed with component-based structural equation modeling technique of partial least squares-structural equation modeling (PLS-SEM).FindingsFindings confirmed that perceived source credibility indirectly affects purchase intention (PI) and electronic word-of-mouth via attitude toward UGC. Besides, perceived source credibility mediates the effect of perceived source homophily on attitude toward UGC.Practical implicationsSince today's consumers have begun to trust and rely more on UGC than company-generated content on social media when making purchase decisions, companies may reconsider democratizing certain aspects of their branding strategies. Firms may fine-tune their marketing communication budgets – not only just by sponsoring public figures and celebrities but also by nurturing coproductive engagements with independent content creators who are ordinary consumers. Endowed with their imposing credibility, these micro-influencers and prosumers have high potentials to be uplifted to brand ambassadors.Originality/valueWhile consumers' purchase outcome can be measured easily using metrics and analytics, the roles of source homophily in stages leading up to the purchase is still elusive. Drawing on the rich theoretical basis of source homophily may help researchers to understand not only how credibility and attitude are related to PI but also how this nexus generates positive word of mouth among UGC followers within the social media circles.

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.

Evaluation of knowledge management practices - a leather industry context

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Srinivasan P.
Keyword(s):  
Knowledge Management ◽  
Structural Equation Modeling ◽  
Organizational Performance ◽  
Structural Equation ◽  
Influential Factor ◽  
Equation Modeling ◽  
Survey Method ◽  
Leather Industry ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to analyze the impact of knowledge management (KM) in terms of organizational performance using structural equation modeling. To enhance organizational performance, KM is used as a powerful strategic tool. The factors such as management commitment, leadership and organizational culture are the KM enabler’s conditions, and the step processes of KM are knowledge capture, creation, organizing/storing and transfer, and through this, KM is analyzed on organizational performance in the context of leathers manufacturing company. This study constructs with questionnaire consist of 34 variables. Design/methodology/approach There are about 101 samples that were collected through the questionnaire survey method in the leather companies in Ranipet. The data were collected from executives and associates in the leather companies. Data were analyzed using the SPSS tool and SMART PLS tool used for framing a research model and the hypothesized relationships were tested through partial least squares structural equation modeling technique. Findings The finding of this study is mandatory to implement a structured KM practice in the leather companies. Application of KM is quite an impact on organizational performance, which leads to profitability and productivity. Originality/value This is the first paper to empirically investigate the KM enablers, process and support for the role of KM practices at leather industry. Further, the positioning of KM practices as a strategic competitive tool can be considered as an influential factor to organizational performance.

A new model for assessing the role of customer behavior history, product classification, and prices on the success of the recommender systems in e-commerce

Kybernetes ◽  
2019 ◽  
Vol 49 (5) ◽  
pp. 1325-1346
Author(s):  
Karzan Wakil ◽  
Fatemeh Alyari ◽  
Mahdi Ghasvari ◽  
Zahra Lesani ◽  
Lila Rajabion
Keyword(s):  
Structural Equation Modeling ◽  
Electronic Commerce ◽  
Recommender Systems ◽  
Structural Equation ◽  
User Profile ◽  
Modeling Technique ◽  
Equation Modeling ◽  
Content Type ◽  
Product Classification ◽  
The Impact

Purpose This paper aims to propose a new method for evaluating the success of the recommender systems based on customer history, product classification and prices criteria in the electronic commerce. To evaluate the validity of the model, the structural equation modeling technique is employed. Design/methodology/approach A method has been suggested to evaluate the impact of customer history, product classification and prices on the success of the recommender systems in electronic commerce. After that, the authors investigated the relationship between these factors. To achieve this goal, the structural equation modeling technique was used for statistical conclusion validity. The results of gathered data from employees of a company in Iran is indicated the impact of the customer history on the success of recommender systems in e-commerce which is related with the user profile, expert opinion, neighbors, loyalty and clickstream. These factors positively influence the success of recommender systems in ecommerce. Findings The obtained results demonstrated the efficiency and effectiveness of the proposed model in term of the success of the recommender systems in the electronic commerce. Originality/value In this paper, the effective factors of success of recommender systems in electronic commerce are pointed out and the approach to increase the efficiency of this system is applied into a practical example.

The impact of brand logo identification and brand logo benefit on Indonesian consumers’ relationship quality

2015 ◽  
Vol 7 (3) ◽  
pp. 237-252 ◽  
Author(s):  
Arnold Japutra ◽  
Keni Keni ◽  
Bang Nguyen
Keyword(s):  
Structural Equation Modeling ◽  
Empirical Study ◽  
Relationship Quality ◽  
Survey Data ◽  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Content Type ◽  
The Impact

Purpose – The purpose of this paper is to examine the relationships between brand logo identification and brand logo benefit on Indonesian consumers’ relationship quality. Design/methodology/approach – This study utilizes survey data in Indonesia and structural equation modeling. In total, 282 participants responded to the survey. Findings – Brand logo benefit predicts all three relationship quality constructs, whereas brand logo identification only predicts satisfaction and trust. Out of the two, brand logo benefit is a better predictor of satisfaction, trust, and commitment. Originality/value – This is a first empirical study to examine brand logo identification and brand logo benefit on Indonesian consumer’s relationship quality. In addition, this is the first study to investigate the link between brand logo benefit with satisfaction and trust.

Revealing the impact of operational logistics service quality on omni-channel capability

2018 ◽  
Vol 30 (5) ◽  
pp. 1200-1221 ◽  
Author(s):  
Işık Özge Yumurtacı Hüseyinoğlu ◽  
Metehan Feridun Sorkun ◽  
Gülmüş Börühan
Keyword(s):  
Structural Equation Modeling ◽  
Service Quality ◽  
Structural Equation ◽  
Equation Modeling ◽  
Channel Management ◽  
Theoretical Understanding ◽  
Content Type ◽  
Logistics Service ◽  
Logistics Service Quality ◽  
The Impact

PurposeThis paper introduces the term “omni-channel capability” and tests its validity. The purpose of this paper is to investigate the impact of logistics service quality (LSQ) on omni-channel capability.Design/methodology/approachAn online survey was used to evaluate the new concept of “omni-channel capability” and LSQ from the consumer’s perception. A two split sample technique was used to validate omni-channel capability and test the impact of LSQ on it through structural equation modeling. Factor analysis and structural equation modeling were performed to introduce, test and validate omni-channel capability, and test the study’s hypotheses. Consumers who had previously shopped from both the online and physical stores of a particular retailer completed a self-administered survey.FindingsThe findings supported the use of the term “omni-channel capability,” which has three elements: channel consistency, cross-channel and social media. The results also revealed the positive impact of operational LSQ on omni-channel capability.Practical implicationsTaking consumer perceptions as a reference point, this study reveals major issues that retailers should focus on while pursuing an omni-channel strategy. The findings also highlight the need for retailers to ensure operational LSQ to implement an omni-channel management strategy.Originality/valueTo improve on the limited theoretical understanding and empirical grounding of omni-channel management, this study described the three elements of omni-channel capability. The impact of operational LSQ on omni-channel capability gives empirical support for the theorized hierarchy of dynamic capabilities (zero- and first-order capabilities).

Customer satisfaction with Ijarah financing

2019 ◽  
Vol 11 (2) ◽  
pp. 227-243 ◽  
Author(s):  
Iman Adeinat ◽  
Naseem Al Rahahleh ◽  
M. Ishaq Bhatti
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Structural Equation ◽  
Equation Modeling ◽  
Content Type ◽  
Customer Perceptions ◽  
Mediating Role ◽  
Study Results ◽  
Confirmatory Factor

Purpose The purpose of this study is to assess customers’ perceptions of Islamic banks (IBs) of customers who have used or intend to use Ijarah service to purchase a car. The study further examines the mediating role of clarity and accuracy (CAA) of service offered between customer perceptions and customer satisfaction. This paper focuses on connecting in quantitative terms customers’ perceptions of IB services to customer satisfaction by providing the first evidence of this relationship in the context of car Ijarah financing. Design/methodology/approach In this paper, a model is proposed to assess customers’ perceptions of the Ijarah service used by IBs to finance car purchases. The model connects customers’ perceptions to customer satisfaction with this Shariah-compliant service. The data are drawn from 300 randomly selected customers living in five major cities in Pakistan, and factor analysis and structural equation modeling are used to understand the patterns of correlation/covariance among a set of variables and to evaluate customers’ perceptions of Ijarah financing for car purchases. Findings The results of the study show a significant positive relationship between customers’ perceptions and customer satisfaction. In particular, the CAA of the services provided is a significant predictor of customer satisfaction. This paper finds that CAA is a partial mediator between customers’ perceptions and customer satisfaction. Research limitations/implications As this study is based on only one country and one simple car Ijarah financing product, the results cannot be generalized to the entire industry. Therefore, deeper research is needed in which data from other countries are used and a range of models and approaches are applied to secure knowledge about the multinational and multifactor variations of Ijarah financing. Practical implications In terms of their implications for IBs, the study results provide a basis for the banks to more effectively cater to their customers by improving the services offered in line with customers’ expectations and thereby increasing profitability. This investigation is much needed in academia and industry because the market share for Ijarah financing is growing and competition between IB products and conventional banking products is increasing. Originality/value This study presents the first endeavor to use exploratory factor analysis, confirmatory factor analysis and structural equation modeling to assess customer satisfaction in Ijarah financing using Pakistani banking clients’ data. This approach is also applicable to various IB financial products and Shariah contracts.

Collective knowledge construction: a socio-cognitive approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mandana Farzaneh ◽  
Gholamhossein Mehralian ◽  
Mohammad Taghi Isaai
Keyword(s):  
Structural Equation ◽  
Knowledge Structure ◽  
Equation Modeling ◽  
Task Structure ◽  
Work Team ◽  
Research Model ◽  
Collective Knowledge ◽  
Cognitive Approach ◽  
Content Type ◽  
The Impact

Purpose The purpose of this study is to use correlation analysis to understand how knowledge structure, task structure and collaboration affect collective knowledge (CK) by the mediating mechanism of communication. Design/methodology/approach Drawing on an existing gap in the literature related to CK, a research model with five hypotheses is proposed. The hypotheses were analyzed based on data collected from 114 work-team practitioners using structural equation modeling. Findings The results indicate that communication, knowledge structure, task structure and collaboration significantly contribute to CK and that communication partially mediates the impact of these constructs on CK. Originality/value The value of the current research is in its contribution to the understanding of CK formation.

scholarly journals A Comprehensive Study Plan for Identifying the Impact of Learning Styles, Teaching Strategies, Need for Cognition, and Meta-Cognition on Academic Achievement of Students in the Educational Centers

2018 ◽  
Vol 1 (1) ◽  
pp. 20-26
Author(s):  
Mohsen Malekalketab Khiabani
Keyword(s):  
Academic Achievement ◽  
Factor Analysis ◽  
Learning Styles ◽  
Teaching Strategies ◽  
Structural Equation ◽  
Need For Cognition ◽  
Equation Modeling ◽  
Research Model ◽  
Confirmatory Factor ◽  
The Impact

According to the extant literature, the positive roles of learning styles, teaching strategies, need for cognition, and meta-cognition on promotion and enhancing level of academic achievement is irrefutable. This study aims to plan for identifying the impact of mentioned variables on the academic achievement of students in the Educational Centers. The developed research model is based on a review in literature and is a comprehensive model which consists of four independent variables namely learning styles, teaching strategies, need for cognition, and meta-cognition. And one dependent variable that is academic achievement. In order to reach major and minor research objectives, the author develops a survey instrument with a proper standard and introduces a quantitative approach involving the distribution of questionnaires among students implementable in any educational centers. Total collected data can be analyzed through the Statistical Package for Social Science (SPSS) or Structural Equation Modeling via Analysis of Moment Structure (AMOS) program (SEM-AMOS). In order to answer research questions and testing developed hypotheses of this study, reliability test, descriptive statistics, factor analysis, correlation test, and multiple regression analyses can be run in SPSS and it can be run confirmatory factor analysis (CFA) in AMOS program with two-step strategy proposed by (Anderson and Gerbing 1988). The contribution of this scientific research will be pragmatic for academics in this research era because of the comprehensive research model. Also, this research has an outstanding role in bringing insight and realization for deputy deans, rectorates in the educational centers. Finally, the value of findings will be beneficial for promoting and increasing the level of academic achievement through learning styles, teaching strategies, need for cognition, and meta-cognition.

scholarly journals A Structural Equation Modeling on Analysis of Preference Advertisement in Building Brand Equity

2019 ◽  
Vol 9 (1) ◽  
pp. 247-252
Keyword(s):  
Structural Equation Modeling ◽  
Brand Equity ◽  
Structural Equation ◽  
Positive Impact ◽  
Information Economics ◽  
Equation Modeling ◽  
Brand Preference ◽  
Confirmatory Factor ◽  
The Impact

Preference advertisement is a promotional system in which marketer claims the superiority of their product or brand over competing product(s) or brand, directly or indirectly. Preference advertisement helps in comparing alternative brands on bases of features, price, and other distinctive information. Brand equity is the total worth of the brand. Brand equity can be measured in two different perspective i.e. cognitive psychology is the attribute perception that is related to the awareness regarding the brand features and associations whereas another information economics is associated towards strong brand name which is created through the quality of the product and good quality generates a premium prices for the brand. In the monetary terms it’s the value that the organization expects from the brand. Preference advertisement can either be transferred directly to the brand. The objective of this study is to analyze the impact of preference advertisement in building the brand equity. Therefore to achieve the objective, different analysis tools used in the study are: mean, confirmatory factor analysis and structural equation modeling technique. The finding shows that preference advertisement has a significantly positive impact on building the brand equity.

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