Cyber incivility and knowledge hoarding: Does interactional justice matter?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nader Mohammad Aljawarneh ◽  
Khaled Abd kader Alomari ◽  
Ziyad Saleh Alomari ◽  
Omar Taha
Keyword(s):  
Structural Equation Modeling ◽  
Social Exchange ◽  
Structural Equation ◽  
Interactional Justice ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Telecommunication Service ◽  
Strong Impact ◽  
Content Type ◽  
Knowledge Hoarding

Purpose The current explanations in the cyber incivility and knowledge hoarding literature suffer from two problems. The first is a lack of cogent explanation of cyber incivility and knowledge hoarding from social exchange theory (SET) perspective. The second is the unexplained attenuating propensity of justice on the connection between cyber incivility and knowledge hoarding, more specifically, interactional justice. Design/methodology/approach This paper uses a simple random sampling method to obtain cross-sectional data from 223 employees working in IT and telecommunication service companies in Jordan. The obtained data were analyzed using partial least squares structural equation modeling (PLS-SEM) technique also known as variance-based structural equation modeling. Findings By applying SET theoretical lens and PLS-SEM, the authors show that cyber incivility exerts strong impact on knowledge hoarding, and interactional justice may not always function as a buffer. That is, the association between cyber incivility and knowledge hoarding is not impacted by interactional justice levels. Originality/value The contribution of this paper builds on the lack of practical comprehension on the association between cyber incivility and knowledge hoarding and the role played by interactional justice. Implications for theory and practice are discussed.

Structural equation modeling of residents' attitudes and tourism development: a SET based - study of the Kashmir region in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aasif Ali Bhat ◽  
Kakali Majumdar
Keyword(s):  
Structural Equation Modeling ◽  
Social Exchange ◽  
Structural Equation ◽  
Social Exchange Theory ◽  
Tourism Development ◽  
Exchange Theory ◽  
Primary Data ◽  
Equation Modeling ◽  
Content Type ◽  
The Social

PurposeThe present study tries to develop a model that assesses the factors that determine support for tourism development by residents of the Kashmir region.Design/methodology/approachPrimary data have been collected (n = 650) from the residents of the top five tourist destinations through a pre-tested questionnaire by a multistage convenient sampling method. A model has been drafted and tested through the technique of structural equation modeling by applying the social exchange theory as a theoretical framework.FindingsThe results revealed that residents who perceived more benefits were more expected to support tourism development, and residents who perceive more costs were less expected to support tourism development, thus supporting the social exchange theory.Originality/valueThe results of this study are extremely useful for the local government and tourism institutions in the future planning of tourism development and also fill the vast gap in the tourism literature with a theoretical base.

The Measurement Invariance of the Short Dark Triad

2020 ◽  
Vol 41 (4) ◽  
pp. 207-218
Author(s):  
Mihaela Grigoraș ◽  
Andreea Butucescu ◽  
Amalia Miulescu ◽  
Cristian Opariuc-Dan ◽  
Dragoș Iliescu
Keyword(s):  
Structural Equation Modeling ◽  
Item Response ◽  
Structural Equation ◽  
Dark Triad ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Scale Level ◽  
High Stake ◽  
Differential Functioning ◽  
Item Functioning

Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.

scholarly journals Blockchain Technology for Winning Consumer Loyalty: Social Norm Analysis Using Structural Equation Modeling

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 532
Author(s):  
María de los Ángeles Pérez-Sánchez ◽  
Zhuowei Tian ◽  
Almudena Barrientos-Báez ◽  
José Gómez-Galán ◽  
Hanliang Li
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Social Exchange ◽  
Local Governments ◽  
Structural Equation ◽  
Social Norm ◽  
New Technologies ◽  
Equation Modeling ◽  
Consumer Loyalty ◽  
Blockchain Technology

Remarkable changes have taken in social operation mode and consumers’ behavior mode because of the foot ban during the pandemic spread of COVID-19. Digital technologies such as Blockchain have shown potential in gaining competitive advantages for enterprises in such situations. This study aims to provide an insight into how to gain consumer loyalty through the use of modern and efficient Blockchain technology. In contrast to the current literature, this study combined the technology acceptance model of planned behavior theory, social exchange theory to explain the loyalty of an online travel agency (OTA) consumer. A self-administered questionnaire was used to collect data from citizens in Hangzhou, a city full of technological innovation atmosphere. Using structural equation modeling with SmartPLS©, responses from 1403 citizens were analyzed. Social norm was discovered to have a positive and significant association with the consumers’ attitude toward technology and thus enhancing the perceived usability and hedonism of OTA application, which can increase consumer loyalty. The findings suggested OTAs may gain consumers’ loyalty through adopting Blockchain technology, and local governments have played a key role in creating such an environment. New technologies have become essential professional and social tools for society. The technological environment and Blockchain within the tourism sector are fundamental elements of China’s economic engine.

scholarly journals The impact of transformational leadership and interactional justice on follower performance and organizational commitment in a business context

2021 ◽  
Vol 46 (4) ◽  
pp. 274-283
Author(s):  
Geir Thompson ◽  
Robert Buch ◽  
Per-Magnus Moe Thompson ◽  
Lars Glasø
Keyword(s):  
Transformational Leadership ◽  
Social Exchange ◽  
Structural Equation ◽  
Social Exchange Theory ◽  
Leadership Behavior ◽  
Interactional Justice ◽  
Equation Modeling ◽  
Business Context ◽  
Direct Reports ◽  
The Impact

The relationships between transformational leaders and several follower outcomes have been well investigated, but the mechanism through which these leadership behaviors relate to such outcomes is relatively unexplored. By investigating the mediating role of interactional justice, using structural equation modeling analyses, and data collected from supervisors and direct reports at various organizational levels, the present study provides insight into the psychological processes underlying transformational leadership and its effectiveness on follower outcomes. In line with social exchange theory, the main takeaway from the present study is suggesting that leaders, who display transformational leadership behavior in a manner perceived by followers as respectful, fair, and consistent with moral and ethical standards, may expect greater follower organizational attachment as an appropriate response to interactional justice.

Residents’ perceptions of the impact of tourism in Abu Dhabi, United Arab Emirates

2017 ◽  
Vol 11 (4) ◽  
pp. 551-572 ◽  
Author(s):  
Nada Hammad ◽  
Syed Zamberi Ahmad ◽  
Avraam Papastathopoulos
Keyword(s):  
United Arab Emirates ◽  
Social Exchange ◽  
Structural Equation ◽  
Social Exchange Theory ◽  
Cultural Influences ◽  
Abu Dhabi ◽  
Equation Modeling ◽  
Content Type ◽  
The Social ◽  
The Impact

Purpose This paper aims to investigate residents’ perceptions of tourism’s impact on their support for tourism development in Abu Dhabi, United Arab Emirates (UAE). Design/methodology/approach Data were collected using self-administered questionnaires from Abu Dhabi residents (n = 407), who represented 30 nationalities residing in the emirate. Based on social exchange theory, structural equation modeling was used to test hypotheses. Findings Results suggest that Abu Dhabi residents perceive the impacts of tourism positively and are more sensitive to the environmental and economic influences of tourism than the social and cultural influences. Research limitations/implications This study was limited to Abu Dhabi residents; findings cannot be generalized to other emirates in the UAE, or other countries. Originality/value This study adds value to extant tourism literature by investigating residents’ perceptions of the influence of tourism in one of the richest cities worldwide, which aspires to be one of the fastest growing tourism destinations in the Middle East.

Chinese workers’ responses to justice: quitting, collective action or both?

2018 ◽  
Vol 9 (1) ◽  
pp. 21-44
Author(s):  
Yucheng Zhang ◽  
Stephen J. Frenkel
Keyword(s):  
Collective Action ◽  
Social Exchange ◽  
Interactional Justice ◽  
Social Identification ◽  
Theory And Practice ◽  
Western China ◽  
Chain Model ◽  
Content Type ◽  
Service Employees ◽  
Chinese Workers

Purpose This paper aims to analyse two ways in which Chinese workers attempt to resist unjust treatment: exit through quitting and voice via collective action. This is in the context of rapid economic growth, rising economic inequality (Lu and Gao, 2011; Qin et al., 2009; Reed, 2012) and escalating industrial conflict (Pringle, 2011). Design/methodology/approach A model is developed and hypotheses formulated in the light of qualitative data analysis that included archival data, workplace observation and interviews with employees and managers at a large factory. A mediated chain model was tested based on a survey of 234 semi-skilled and skilled manual workers and 353 service employees employed in the same city in Western China. Findings Organisational identification and organisational cynicism were found to mediate the relationship between interactional justice and the two outcomes, intention to quit and collective opposition. Originality/value The authors’ interpretation of these relationships challenge previous research by showing that social identification is a more powerful explanation than social exchange in accounting for variations in these two outcomes. Implications are drawn for human resource theory and practice.

Teachers' digital technology access to motivation, skills and use: a structural equation modeling study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Akhmad Habibi ◽  
Mohd Faiz Mohd Yaakob ◽  
Amirul Mukminin ◽  
Muhaimin Muhaimin ◽  
Lantip Diat Prasojo ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Digital Technology ◽  
Structural Equation ◽  
Structural Model ◽  
Teaching Experience ◽  
Equation Modeling ◽  
Technology Access ◽  
School Location ◽  
Content Type ◽  
Instructional Use

PurposeThe current study aimed to develop and validate a scale to model factors affecting digital technology access for instructional use. The scale was mainly used to assess the structural model. Besides, tests of difference were addressed regarding digital technology access for instructional use based on gender, teaching experience and school location.Design/methodology/approachThe authors implemented a survey design in this study. A scale based on prior studies was developed, validated and piloted. The pilot study data were computed for an exploratory factor analysis. Further, partial least squares structural equation modeling (PLS-SEM) and t-test procedures were used for the main data analysis (n.2677). The authors also included the importance-performance map analysis to extend of the results of the PLS-SEM.FindingsThe findings of the study successfully assessed the validity and reliability of the scale. All hypothetical relationships in the structural model were positively significant. The t-test results show that teaching experience and school location were significantly different regarding instructional use access; however, an insignificant difference emerged based on gender.Practical implicationsFailure in technology integration is possible if policies have not been carefully prepared. Therefore, users' perception is an essential factor in determining technology integration, including access to digital technology.Originality/valueThis research has the potential to enhance the understanding of access to digital technology in the context of developing countries by the elaboration of the proposed model's instrument development and validation, path analysis assessment and difference test examination with a large sample size. Also, the current study emphasizes the importance of raising awareness about digital technology access that the model can facilitate a valid and reliable foundation for future researchers interested in conducting similar types of research.

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.

Job meaningfulness, employee engagement, supervisory support and job performance: a moderated-mediation analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abinash Panda ◽  
Subhashis Sinha ◽  
Nikunj Kumar Jain
Keyword(s):  
Job Performance ◽  
Employee Engagement ◽  
Social Exchange ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Equation Modeling ◽  
Conservation Of Resources ◽  
Supervisory Support ◽  
Content Type ◽  
Job Meaningfulness

PurposeGuided by social exchange, broaden and build and conservation of resources theoretical perspectives, this study explores the moderated mediating role of supervisory support (SS) on the relationship between job meaningfulness (JM) on job performance (JP) through employee engagement (EE).Design/methodology/approachField data were collected from two hundred and nineteen executives and their thirty-eight supervisors of a large paint manufacturing industry through a time-lagged research design and was analyzed with partial least squares based structural equation modeling.FindingsFindings of this study indicate that JM mediated by EE contributes to JP, which means if an employee finds one's job meaningful, she/he is likely to be more engaged emotionally, psychologically and cognitively to deliver better JP. SS is also found to be salient as it moderates both direct and indirect relationships between JM and JP through EE.Research limitations/implicationsGeneralizability of the findings of this study should be done with caution. Though the study has time-laggard data from two different sources but missing longitudinal data restricts causality of relationships/findings.Practical implicationsThese findings are relevant for organizations given that organizational leaders can create a context, by appropriate job design and engaging work context that motivates employees to perform better in their jobs. Insights of this study will be useful for organizations to curate meaningful jobs for their employees and also groom leaders with requisite skills and competencies to help subordinates perform up to their potential.Originality/valueThis study is an attempt toward a better understanding of the interplay of JM, work engagement and SS on JP in a manufacturing set-up in India, which has not been hitherto examined in Indian context.

Comparing the service experience of satisfied and non-satisfied customers in the context of wine tasting rooms using the SERVQUAL model

2019 ◽  
Vol 32 (2) ◽  
pp. 301-324
Author(s):  
Matti Haverila ◽  
Kai Haverila ◽  
Mehak Arora
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Value For Money ◽  
Service Experience ◽  
Content Type ◽  
Survey Results ◽  
Repurchase Intent

Purpose The purpose of this study is to compare satisfied and non-satisfied customers in the context of wine tasting rooms using the SERVQUAL model and to examine the relationships in the model in terms of service experience to better understand customer needs. Design/methodology/approach The data used in this study were derived from a survey conducted among wineries in British Columbia, Canada. Analysis of survey results using the partial least squares structural equation modeling was undertaken. Sample size was 402. Findings The findings show that the SERVQUAL constructs that had the most impact on customer satisfaction and dissatisfaction were tangibility and assurance. Somewhat surprisingly, the perceived value for money construct was not significantly related to customer satisfaction but was significantly related to repurchase intent. Furthermore, all SERVQUAL constructs, except the reliability construct, were significantly related to customer satisfaction. Originality/value This study provides an overview of how wineries can improve their services to increase the number of satisfied customers.

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