Mobile Business Effects on Employees' Social Life

2021 ◽  
Vol 13 (2) ◽  
pp. 1
Author(s):  
Husam Alfahl

The use of mobile devices and smartphones is increasingly becoming a critical part of many people’s lifestyle. Such usage can vary from playing games to accomplishing work-related tasks. Being able to use organizations’ persuasive technologies via mobile business services or to achieve work-related tasks ubiquitously at any time means that such devices provide a valuable service, especially for employees who are working online. This paper explores the impact of mBusiness on the social life of employees. In the research, structural equation modeling was applied to validate the research model. Employees in Saudi organizations were surveyed to test the research hypotheses. The research results confirmed that there are some negative effects of using mBusiness technologies on the social life of employees. Based on the analysis, the findings revealed that addiction to mBusiness technologies significantly increases the perceived work overload, which also significantly increases work-family conflict. The paper concludes with some implications of this research.

Author(s):  
Nada Hammad ◽  
Syed Zamberi Ahmad ◽  
Avraam Papastathopoulos

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mazzini Muda ◽  
Muhammad Iskandar Hamzah

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.


2021 ◽  
pp. 47-58
Author(s):  
Şerafettin KELEŞ

In this study, the factors affecting the request and action of migration are examined with empirical method within the scope of neoclassical economic theories and behavioral economic thought. A survey of a selected sample was analyzed with structural equation modeling. There was a linear relationship between migration and economic expectation, social capital and hope. It was found that the Economic Expectation Variable had a very strong negative effect on individuals' decision to immigrate and desire to migrate (γ = -0.99; t = -17.87). Hope variable has a very strong negative effect on individuals' migration decision and desire to migrate (γ = -0.96; t = -13.66). The Social Capital Secret Variable has a negatively moderate effect on individuals' decision to immigrate and desire to migrate (γ = -0.48; t = -8.19). It was seen that economic and political conjuncture was effective in the decision of migration of individuals.


Author(s):  
David Opeoluwa Oyewola ◽  
Emmanuel Gbenga Dada ◽  
Juliana Ngozi Ndunagu ◽  
Terrang Abubakar Umar ◽  
Akinwunmi S.A

Since the declaration of COVID-19 as a global pandemic, it has been transmitted to more than 200 nations of the world. The harmful impact of the pandemic on the economy of nations is far greater than anything suffered in almost a century. The main objective of this paper is to apply Structural Equation Modeling (SEM) and Machine Learning (ML) to determine the relationships among COVID-19 risk factors, epidemiology factors and economic factors. Structural equation modeling is a statistical technique for calculating and evaluating the relationships of manifest and latent variables. It explores the causal relationship between variables and at the same time taking measurement error into account. Bagging (BAG), Boosting (BST), Support Vector Machine (SVM), Decision Tree (DT) and Random Forest (RF) Machine Learning techniques was applied to predict the impact of COVID-19 risk factors. Data from patients who came into contact with coronavirus disease were collected from Kaggle database between 23 January 2020 and 24 June 2020. Results indicate that COVID-19 risk factors have negative effects on epidemiology factors. It also has negative effects on economic factors.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Juliana Mansur ◽  
Bruno Felix

PurposeThe purpose of this paper is to investigate how positive affectivity (PA) moderates the indirect effects of positive and negative career shocks – unplanned and often unexpected external events whose effects cannot be anticipated or countered – on thriving via career adaptability.Design/methodology/approachThe authors empirically tested the moderated mediation model with a structural equation modeling (SEM) approach. The study was performed with a valid sample of professionals who had experienced work-related career shocks.FindingsThe results indicated that career adaptability mediated the effects of positive and negative career shocks on thriving. In addition, the slope of the relationship between negative shocks and adaptability became positive for high levels of PA. The authors also found an indirect effect of negative career shocks on thriving at all levels of PA and importantly, when PA was high, the effects of negative shocks on thriving became positive.Practical implicationsIndividuals may use emotional reappraisal strategies to counter negative feelings that accompany negative events to mitigate the negative effects of such events. By strengthening their positivity, individuals facilitate their own perception of shocks, thereby minimizing the possibility of a decrease in adaptability resources.Originality/valueThis paper advances understanding of those mechanisms through which negative shocks lead to positive effects that can help individuals improve their career adaptability and thrive.


2020 ◽  
pp. 089484531989998
Author(s):  
Thomas G. Altura ◽  
Alaka N. Rao ◽  
Meghna Virick

In this study, we examine the effects of proactive personality on employees’ perceptions of conflict in the work and family domains and work-related outcomes. We test our hypotheses using survey data collected from 1,150 employees. Our results indicate that proactive personality is associated with increased work-interference-in-family (WIF) but decreased family-interference-in-work (FIW). These opposing, domain-specific effects have masked hitherto hidden relationships that we highlight in this study. Using structural equation modeling, we demonstrate that WIF and FIW function as simultaneous mediating variables between proactive personality and turnover intentions as well as between proactive personality and job performance. Through an investigation of underlying mechanisms, this study advances a more nuanced portrait of how individual differences shape individual and organizational outcomes.


2021 ◽  
pp. 849-860 ◽  
Author(s):  
Banji Rildwan Olaleye ◽  
Olufemi Patrick Adeyeye ◽  
Alani Olusegun Efuntade ◽  
Bamidele Samuel Arije ◽  
Oluwaseun Niyi Anifowose

The purpose of the study is to analyze the impact of e-quality services on consumer satisfaction and loyalty in Nigeria. A cross-sectional research design was adopted using a well-structured questionnaire to elicit information for 408 postgraduate students currently studying in Nigerian universities. The research instrument was validated, while data collected were analyzed using the Statistical Package for the Social Science (SPSS) and Structural Equation Modeling (SEM) for hypotheses testing. The result revealed a statistically significant positive relationship among consumer satisfaction, loyalty, e-service quality and their dimensions while the findings established trust and satisfaction as prominent mediators for online purchases. This research contributes to the study of online shopping and e-loyalty by developing a model on the construct within the e-commerce context and suggesting possible factors that may influence quality service decisions.


SAGE Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 215824402110615
Author(s):  
Viktoria Maria Baumeister ◽  
Leonie Petra Kuen ◽  
Maike Bruckes ◽  
Gerhard Schewe

An understanding of the overall relationship between the work-related use of information and communication technology (ICT) and employees’ well-being is lacking as the rising number of studies has produced mixed results. We meta-analytically synthesize and integrate existing literature on the consequences of ICT use based on the job demands-resources model. By using meta-analytical structural equation modeling based on 63 independent studies ( N = 26,295), we shed light on the relationship between ICT use and employees’ well-being (operationalized as burnout and engagement) in a model that incorporates the mediating role of ICT-related resources and demands. Results show that ICT use is opposingly related to burnout and engagement through autonomy, availability, and work-life conflict. Our study brings clarity into the contradictory results and highlights the importance of a simultaneous consideration of both positive and negative effects for a comprehensive understanding of the relationship. We further show that the time of use and managerial position, and methodological moderators can clarify heterogeneity in previous results.


2015 ◽  
Vol 14 (1) ◽  
pp. 37-48 ◽  
Author(s):  
Jürgen Glaser ◽  
Christian Seubert ◽  
Severin Hornung ◽  
Britta Herbig

We propose an integrated model of learning demands, work-related resources, and job stressors that incorporates core assumptions of work design in predicting processes of learning and performance as well as health impairment. The model was tested in a heterogeneous sample of 830 employees using structural equation modeling. Empirical results largely support theoretical assumptions. Learning demands and work-related resources were positively related to intrinsic motivation and creative performance. Job stressors and low work-related resources were predictive for health impairment. The suggested tripartite taxonomy reconciles inconsistent research findings on the impact of work characteristics. The model provides practical guidance for work analysis and design by clarifying relationships between established work characteristics, job performance, and worker health.


2022 ◽  
Vol 18 (1) ◽  
pp. 0-0

Smart systems are going to transform the social life of modern society. Notwithstanding the benefits of these systems, its use is still low in developing world including Jordan. This study aims to construct a novel model to identify the factors that affect people’s intention to use smart systems in their homes. A survey was conducted on 650 individuals among which 550 valid questionnaires were considered in Jordan. The collected data were analyzed for descriptive analysis and further to valid the hypothesis using Structural Equation Modeling. The findings showed that there is a significant relationship between individuals’ attitudes related to PU and PEOU with their intention toward using smart systems in their lifestyle. It indicated that the research model explains 68.6% of the variance in the individual’s intention to use smart systems in their residence. Practically, it fruitful to the top management of IT companies that offers smart systems. Moreover, enhancing the current systems and organizing a strategic plan for implementation within best practice.


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