Empathy or perceived credibility? An empirical study of Muslim donating behaviour through online charitable crowdfunding in Indonesia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rahmatina Awaliah Kasri ◽  
Esmeralda Indriani
Keyword(s):  
Structural Equation ◽  
Least Squares Method ◽  
Charitable Donation ◽  
Operational Strategies ◽  
Content Type ◽  
Content Quality ◽  
Perceived Credibility ◽  
Factors Influencing ◽  
Partial Least Squares Method

Purpose This study aims to analyse the factors influencing Indonesian Muslims’ donation behaviour through online charitable donation-based crowdfunding. Design/methodology/approach The study uses the stimulus-organism-response framework, with technological characteristics, campaign characteristics and religiosity as the stimulus; empathy, perceived credibility and quality of relationship as the organism; and intention to donate as the response variables. In analysing the data, it used the structural equation modelling approach with the partial least squares method. The study involved 405 Muslim respondents who have donated through the largest online charitable crowdfunding platform in Indonesia. Findings The main findings suggest that empathy and perceived credibility are key determinants influencing the intention to donate through crowdfunding. Both factors are subsequently affected by initiator reputation, campaign popularity, content quality, transaction convenience and website quality. Such intention also goes hand in hand with the improved quality of relationships between the organisation and the donors, subsequently influenced by their religiosity. Practical implications The main findings imply that fundraising campaigns and technology’s characteristics play a significant role in the intention to donate. Such findings are expected to enhance understanding of individuals’ philanthropic behaviour in Indonesia and to suggest appropriate operational strategies to facilitate individuals’ donation behaviour in charitable crowdfunding. Originality/value Despite the high potential of charitable crowdfunding, studies regarding the factors influencing charitable donations made through such organisations remain scarce. This study contributes to the literature by taking the case of the largest online charitable crowdfunding platform in Indonesia.

To verify or not to verify: using partial least squares to predict effect of online news on panic buying during pandemic

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kim-Lim Tan ◽  
Joseph Kee-Ming Sia ◽  
Daniel Kuok Ho Tang
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Least Squares Method ◽  
Online News ◽  
The Body ◽  
Equation Modeling ◽  
Initial Attempt ◽  
Content Type ◽  
Partial Least Squares Method

PurposeCoronavirus disease (COVID-19) pandemic has given rise to different dimensions of uncommon human behavior, and panic buying is one of them. Interestingly, panic buying research has not been given much attention. The purpose of this paper is threefold. Firstly, it examines the influences of the theory of planned behavior (TPB) elements (subjective norm, attitude and perceived behavior control (PBC)) on panic buying. Secondly, it investigates online news and the perceived likelihood of being affected (PLA) as antecedents to the TPB constructs. Finally, to examine online news verification as a moderator on the relationship between the TPB constructs and panic buying.Design/methodology/approachData were collected from 371 respondents and analyzed using the partial least squares method structural equation modeling (PLS-SEM). PLS predict was applied to determine the predictive power of the model further.FindingsThis study found that subjective norms and attitude influence panic buying. The results further revealed that online news has a direct influence on the PLA and attitude. However, PBC has no such effect on panic buying. Surprisingly, online news verification also has no moderating effects on the relationships between the TPB elements and panic buying.Originality/valueThis research helps to understand consumer panic buying behavior, especially during shock events such as the COVID-19 pandemic. This study is the first that extends the TPB incorporating both online news and PLA as antecedents to panic buying in the same model. Furthermore, the study serves as an initial attempt to investigate online news verification as a moderator between the link of three constructs of TPB and panic buying, contributing to existing literature. Lastly, it advances the body of knowledge on consumer behavior and contributes methodologically by introducing the PLS approach.

Understanding consumer’s showrooming behaviour

2017 ◽  
Vol 29 (2) ◽  
pp. 409-431 ◽  
Author(s):  
Sourabh Arora ◽  
Kunal Singha ◽  
Sangeeta Sahney
Keyword(s):  
Structural Equation ◽  
Least Squares Method ◽  
Small Sample Size ◽  
Small Sample ◽  
The Body ◽  
Multiple Channels ◽  
Web Based ◽  
Content Type ◽  
Body Of Knowledge ◽  
Partial Least Squares Method

Purpose Recent multichannel research suggests that consumers use multiple channels to reap attribute-based benefits which have led to showrooming phenomenon. The purpose of this paper is to investigate the reasons for consumers’ showrooming behaviour and propose a comprehensive model based on application and extension of the “Theory of planned behaviour”. Design/methodology/approach Using the probability sampling approach, 278 complete responses were obtained via web-based surveys for analysing the showrooming behaviour. The research model was tested using the “Partial least squares method” which follows a variance-based structural equation modelling approach. Findings The results of the study indicate that “touching and feeling the product” and “sales staff assistance” motivated customers to visit the physical store before buying online. “Better online service quality” and “lower prices online” induced customers to later purchase online. Price conscious customers and those with the ability to use multiple channels were more likely to engage in showrooming behaviour. Research limitations/implications The generalization of the findings may be limited because the data were collected from a small sample size. The subject calls for more extensive research for drawing generalizations due to lack of the substantive literature on the core area of study. Practical implications The model proposed will help retailers in understanding the showrooming phenomenon which recent researchers have considered as a threat to retail. The study provides basis for devising strategies to defend showrooming customers. Originality/value This paper adds to the body of knowledge in retailing by proposing a model on showrooming which is an emerging area of research in the present retail landscape.

Bringing them back to spend more: student foodservice experiences to satisfy their taste buds

2015 ◽  
Vol 16 (2) ◽  
pp. 235-248 ◽  
Author(s):  
Faizan Ali ◽  
Kisang Ryu
Keyword(s):  
Structural Equation ◽  
Least Squares Method ◽  
Private University ◽  
Content Type ◽  
First Order ◽  
Equation Modelling ◽  
Order Construct ◽  
Component Price ◽  
Partial Least Squares Method ◽  
Students Satisfaction

Purpose – This study aims to examine student’s foodservice experience and its effect on satisfaction, dining frequency and expenditures. Design/methodology/approach – A total of 674 samples collected at a large Malaysian private university were used for data analysis. Structural equation modelling based on partial least squares method was conducted. Findings – Results confirm that student foodservice experience significantly influences satisfaction, dining frequency and dining expenditure. Furthermore, four first-order constructs (product component, service component, price component and healthy component) are also validated on the designated second-order construct (customer foodservice experience). Research limitations/implications – These findings indicate that on-campus foodservice operators should focus on student experience and satisfaction to increase visits and expenditures. Originality/value – This study would enable on-campus foodservice operators to have a better understanding of various dimensions of foodservice experience which will lead to students’ satisfaction and encourage the development of their visits and expenditure.

The effects of hotel employees’ CSR perceptions on trust in organization

2019 ◽  
Vol 2 (4) ◽  
pp. 391-408 ◽  
Author(s):  
Erhan Boğan ◽  
Bekir Bora Dedeoğlu
Keyword(s):  
Social Responsibility ◽  
Structural Equation ◽  
Least Squares Method ◽  
Group Analysis ◽  
Moderating Effect ◽  
Equation Modeling ◽  
Content Type ◽  
Multiple Group ◽  
Internal Stakeholders ◽  
Partial Least Squares Method

Purpose The purpose of this paper is to investigate the moderating role of employees’ self-experienced social responsibility perceptions in the relationship between employees’ community- and environment-oriented social responsibility perceptions and trust in an organization. Design/methodology/approach The corporate social responsibility (CSR) construct is examined in the context of stakeholders including the community, environment and employees. The study was carried out with 438 questionnaires gathered from four- and five-star hotels operating in Alanya, Turkey. The proposed model was tested with the partial least squares method of structural equation modeling. Multiple group analysis was performed to test the moderating effect. Findings Findings reveal that employees’ community- and environment-oriented social responsibility perceptions have a positive effect on trust in the organization. Based on the results of multigroup analysis, the effect of employees’ community-oriented social responsibility perceptions on trust in the organization was determined to be more prominent in the group of employees with high self-experienced social responsibility perceptions. However, the same moderating effect could not be determined in relation to environment-oriented social responsibility perceptions and trust in the organization. Originality/value Studies focusing on CSR activities were mainly examined at the macro level. Internal stakeholders’ returns to these activities were not sufficiently considered. Contrary to previous studies that examine the link between CSR perceptions measured with Carroll’s pyramid dimensions and organizational trust, the current study examined CSR perceptions with the stakeholder approach. Moreover, the study discovered one of the variables defined as the black box that differentiates the returns that employees provide to CSR activities.

Analysing the factors influencing customer engagement and value co-creation during COVID-19 pandemic: the case of online modest fashion SMEs in Egypt

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kesmat AbdelAziz ◽  
Nor Hasliza Md Saad ◽  
Ramayah Thurasamy
Keyword(s):  
Environmental Factors ◽  
Structural Equation ◽  
Social Cognitive ◽  
Cognitive Theory ◽  
Least Squares Method ◽  
Outcome Expectation ◽  
Customer Engagement ◽  
Muslim Country ◽  
Content Type ◽  
Factors Influencing

Purpose The purpose of this paper is to analyse the factors which influence value co-creation intention through customer engagement during the COVID-19 pandemic. This paper studies the online modest fashion small- and medium-sized enterprises (SMEs) in Egypt as a Muslim country. Design/methodology/approach This paper is based on the social cognitive theory (SCT) and the literature to develop a theoretical framework of the factors influencing customers’ value co-creation intention on social media. The framework is then tested quantitatively through structural equation modelling based on partial least squares method (SEM-PLS) approach using the SmartPLS software. Findings The empirical analysis supported the SCT through the following conclusions: first, regarding the subject factors, self-efficacy has a positive significant effect on all dimensions of customer engagement and outcome expectation has a positive significant effect on cognitive customer engagement. Concerning the environmental factors, community experience has a positive significant effect on affective and behavioural customer engagement, whereas content quality has a positive significant effect on affective customer engagement. Second, customer engagement is a significant mediator through the dimensions of affective and behavioural customer engagement. Practical implications The findings of this study can help online modest fashion SMEs better comprehend the factors which influence the customers’ engagement for value co-creation intention whether it is subject factors or environmental factors. Therefore, they can better operate online and encourage customers to contribute to the development of new products and services and hence achieve a competitive advantage and survive in times of COVID-19. Originality/value Most of the existing studies focused on the value co-creation behaviour and output. However, there is limited research focusing on what contributes to the customers’ engagement for value co-creation intention, especially for online modest fashion and Muslim countries. Therefore, this study attempts to examine and bridge this research gap.

The model of HRM-trust-commitment relationships

2015 ◽  
Vol 115 (8) ◽  
pp. 1457-1480 ◽  
Author(s):  
Dagmara Lewicka ◽  
Katarzyna Krot
Keyword(s):  
Structural Equation ◽  
Affective Commitment ◽  
Content Type ◽  
Calculative Commitment ◽  
Starting Point ◽  
Research Findings ◽  
Organisational Trust ◽  
The Impact ◽  
The Relationship

Purpose – It is worth focusing on the examination of factors influencing the quality of the work environment. The purpose of this paper is to verify the influence of the HRM system and organisational trust on employee commitment. Design/methodology/approach – The survey was conducted in Poland among 370 employees in organisations from two sectors of the economy: services and industry. The verification of the theoretical model was performed based on structural equation modelling. Findings – Research findings made it possible to successfully verify the model of the relationship between the HRM system (practices, process), organisational trust and commitment. The starting point for trust in an organisation followed by commitment is the HRM system. It seems that the impact of the HRM process on creating organisational trust is higher. Research findings have also confirmed a relationship between each type of organisational trust and calculative commitment based on benefits, which is a strong determinant of affective commitment. Organisational trust is, therefore, an intermediary factor because the organisation must build trust in employees first before they become affectively committed. Originality/value – Current studies have not examined the issue of a mutual relationship between three constructs: perceived HRM practices and process, organisational trust and commitment. What is more, previous research was confined to the constructs analysed holistically without considering their complexity (different types of trust and commitment). In addition, the authors attempted to enrich Allen and Mayer’s (1991) model with a new aspect of the commitment – calculative, which is linked to the benefits received by employees. The authors also identified the mediating influence of the trust and calculative commitment onto the affective commitment.

scholarly journals Prevention of cybercrimes in smart cities of India: from a citizen’s perspective

2019 ◽  
Vol 32 (5) ◽  
pp. 1153-1183 ◽  
Author(s):  
Sheshadri Chatterjee ◽  
Arpan Kumar Kar ◽  
Yogesh K. Dwivedi ◽  
Hatice Kizgin
Keyword(s):  
Conceptual Model ◽  
Structural Equation ◽  
Smart Cities ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Content Type ◽  
Actual Usage ◽  
Factors Influencing ◽  
Technology Adoption Model

PurposeThe purpose of this paper is to identify the factors influencing the citizens of India to prevent cybercrimes in the proposed Smart Cities of India.Design/methodology/approachA conceptual model has been developed for identifying factors preventing cybercrimes. The conceptual model was validated empirically with a sample size of 315 participants from India. Data were analyzed using structural equation modeling with SPSS and AMOS softwares.FindingsThe study reveals that the “awareness of cybercrimes” significantly influences the actual usage of technology to prevent cybercrimes in Smart Cities of India. The study reveals that government initiative (GI) and legal awareness are less influential in spreading of the awareness of cybercrimes (AOC) to the citizens of the proposed smart cities.Research limitations/implicationsThe conceptual model utilizes two constructs from the technology adoption model, namely, perceived usefulness and ease of use. The study employs other factors such as social media, word of mouth, GIs, legal awareness and organizations constituting entities spreading awareness from different related literature works. Thereby, a comprehensive theoretical conceptual model has been proposed which helps to identify the factors that may help in preventing cybercrimes.Practical implicationsThis study provides an insight to the policy maker to understand several factors influencing the AOC of the citizens of the proposed Smart Cities of India for the prevention of cybercrimes.Originality/valueThere are few existing studies analyzing the effect of AOC to mitigate cybercrimes. Thus, this study offers a novel contribution.

Common Method Bias in PLS-SEM

2015 ◽  
Vol 11 (4) ◽  
pp. 1-10 ◽  
Author(s):  
Ned Kock
Keyword(s):  
Structural Equation ◽  
Discriminant Validity ◽  
Least Squares Method ◽  
Common Method ◽  
Equation Modeling ◽  
Common Method Bias ◽  
Validity Assessment ◽  
Convergent And Discriminant Validity ◽  
Partial Least Squares Method ◽  
Method Bias

The author discusses common method bias in the context of structural equation modeling employing the partial least squares method (PLS-SEM). Two datasets were created through a Monte Carlo simulation to illustrate the discussion: one contaminated by common method bias, and the other not contaminated. A practical approach is presented for the identification of common method bias based on variance inflation factors generated via a full collinearity test. The author's discussion builds on an illustrative model in the field of e-collaboration, with outputs generated by the software WarpPLS. They demonstrate that the full collinearity test is successful in the identification of common method bias with a model that nevertheless passes standard convergent and discriminant validity assessment criteria based on a confirmation factor analysis.

scholarly journals Understanding lovemark brands

2018 ◽  
Vol 22 (3) ◽  
pp. 272-294
Author(s):  
Apostolos Giovanis ◽  
Pinelopi Athanasopoulou
Keyword(s):  
Hierarchical Model ◽  
Least Squares Method ◽  
Brand Performance ◽  
Brand Relationships ◽  
Love Styles ◽  
Content Type ◽  
Consumer Responses ◽  
Repurchase Intentions ◽  
Emotional Aspects ◽  
Partial Least Squares Method

Purpose The purpose of this study is to develop and empirically test a lovemark measure that can be used to identify how brands of wireless-enabled computing devices are classified based on customers’ respect and love toward them. Design/methodology/approach On evidence drawn from 1,016 consumers of wireless-enabled computing devices (e.g. netbooks and tablets) in Greece, partial least squares method is used to test the validity of the proposed hierarchical model. Findings Results show that a lovemark measure can be conceptualized as a third-order reflective construct having respect and love as its second-order dimensions. In turn, respect reflects on brand performance, trust and reputation, and love reflects on brand commitment, intimacy and passion. The proposed measure presents a very good external validity as it can explain big portions of variance in consumer responses including repurchase intentions, positive WOM and willingness to pay a price premium. Finally, the proposed measure is used to classify eight well-known devices as products, fads, brands and lovemarks and identify the love styles associated with brand relationships. Originality/value This paper provides empirical evidence for measuring and identifying lovemarks using a hierarchical model, which can be further used to develop a more effective strategy for managing the functional and emotional aspects of brands to strengthen consumer-brand relationships.

A model for assessing blog-based learning systems success

2014 ◽  
Vol 38 (7) ◽  
pp. 969-990 ◽  
Author(s):  
Yi-Shun Wang ◽  
Hsien-Ta Li ◽  
Ci-Rong Li ◽  
Chian Wang
Keyword(s):  
User Satisfaction ◽  
Structural Equation ◽  
Learning Systems ◽  
Learning Performance ◽  
System Quality ◽  
Content Type ◽  
Content Quality ◽  
Success Model ◽  
System Use ◽  
Linkage Quality

Purpose – Based on previous information systems/educational technology success models, the purpose of this paper is to establish a comprehensive, multidimensional model for assessing blog-based learning systems success. Design/methodology/approach – Data collected from 240 blog-based learning systems users in the context of higher education were tested against the model using the structural equation modelling approach. Findings – The results indicate the interrelationships between six system success variables: system quality, content quality, context and linkage quality, user satisfaction, system use, and learning performance. In particular, this study confirms that quality attributes positively affect user satisfaction, which in turn positively influences learning performance directly or indirectly through the mediation of system use. Originality/value – This study is a pioneering effort to develop and validate a blog-based learning systems success model.

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