The effect of risk levels on technology adoption decision: the case of online games

2020 ◽  
Vol 33 (5) ◽  
pp. 1445-1464 ◽  
Author(s):  
Laila Dahabiyeh ◽  
Mohammad S. Najjar ◽  
Deepti Agrawal
Keyword(s):  
Technology Adoption ◽  
Structural Equation Model ◽  
Technology Use ◽  
Structural Equation ◽  
Research Study ◽  
Online Games ◽  
Equation Model ◽  
Content Type ◽  
Risk Levels ◽  
Prior Literature

PurposeInformation technology is associated with psychological and physical risks such as high stress levels and antisocial behavior. The purpose of this paper is to understand why people engage in technology risk behavior, despite the negative consequences that might follow. Focusing on online games, this study identifies factors that affect individuals' intention to play online games and investigate whether the effects of these factors differ across different risk levels.Design/methodology/approachExperimental design was used as the research methodology. Subjects were randomly assigned to a single treatment with two conditions: high and low risk scenarios. A total of 597 responses were analyzed to test the research hypotheses.FindingsThe research findings reveal that subjective norms, curiosity and playfulness have a positive effect on the intention to play online games, while critical mass has no effect on the intention decisions. Further, among the three significant constructs, playfulness turned out to be the only factor that is affected by risk levels.Research limitations/implicationsThis study extends prior literature on technology adoption by examining the effect of different risk levels on adoption intention decisions. It further extends prior literature on online games by identifying the factors that drive individuals to play games while accounting for the risks associated with playing these games.Practical implicationsThe research study identifies factors that should be taken into consideration when promoting the adoption of technologies, including online games.Originality/valueThis study offers a new understanding of technology adoption decisions that takes into account the different levels of risk associated with technology use. It shows that an individual's curiosity and the pressure emanating from one's social network are powerful behavior drivers that persist regardless of the level of risk. Further, this research study is among the first to apply categorical least squares methodology combined with a procedure for a moderated structural equation model to test a structural equation model with categorical multiplicative terms in LISREL.

The impact of subjective norms, eWOM and perceived brand credibility on brand equity: application to the higher education sector

2020 ◽  
Vol 35 (1) ◽  
pp. 63-74
Author(s):  
Charitha Harshani Perera ◽  
Rajkishore Nayak ◽  
Long Thang Van Nguyen
Keyword(s):  
Higher Education ◽  
Sri Lanka ◽  
Structural Equation Model ◽  
Brand Equity ◽  
Structural Equation ◽  
Equation Model ◽  
Subjective Norms ◽  
Private Higher Education ◽  
Content Type ◽  
Brand Credibility

PurposeThe growing competitive environment in which higher education institutes are immersed has caused them to strengthen their competitive position of a brand and its equity in emerging countries. However, there are several contradictions between the empirically approved determinants and the dimensions of brand equity in higher education. The purpose of this paper is to investigate the structural relationship between subjective norms, electronic word-of-mouth (eWOM), perceived brand credibility and brand equity, taking cross-culturally comparisons between Sri Lanka, and Vietnam.Design/methodology/approachA survey was used to collect data from a sample of 800 undergraduates of private higher education institutions in Sri Lanka and Vietnam in 2019. These data were gathered using purposive sampling and analyzed using a structural equation model. A total of 768 questionnaires were considered valid. In testing the hypothesis and structure among the variables, structural equation modelling was used to determine the relationship between subjective norms, eWOM, perceived brand credibility and brand equity for the higher education institutes in emerging countries.FindingsFor the conceptual framework, the author found that this structural equation model complies with the empirical data. The structural equation model shows that subjective norms, eWOM and perceived brand credibility were significantly related to brand equity. Perceived brand credibility was found to be the mediating variable. Further, the location was found to moderate the relationship between perceived brand credibility and brand equity, highlighting that Vietnamese students are more relying on perceived brand credibility in creating brand equity than their Sri Lankan counterparts.Research limitations/implicationsThe study was conducted at private higher education institutes in Sri Lanka and Vietnam. Future research could benefit from perceptions of undergraduates in public higher education institutes. This study discusses the implications of developing branding strategies for higher education institutions.Originality/valueThe current research contributes to the services marketing and branding literature in the higher education context. The paper presents the crucial elements in building brand equity for higher education institutes to fill the existing gaps in higher education branding literature. The findings of the current study provide strategies to improve the higher education sector.

The mediate effect of learning and knowledge on organizational performance

2007 ◽  
Vol 107 (7) ◽  
pp. 1066-1083 ◽  
Author(s):  
Chin‐Yen Lin ◽  
Tsung‐Hsien Kuo
Keyword(s):  
Organizational Performance ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Design Methodology ◽  
Equation Model ◽  
Content Type ◽  
Four Dimensions ◽  
Management Capability ◽  
Knowledge Management Capability ◽  
Practical Implications

PurposeThis paper seeks to propose a conceptual structural equation model to investigate the relationships among human resource management (HRM), organizational learning (OL), knowledge management capability (KMC) and organizational performance (OP) and to demonstrate the direct and indirect effect of HRM on OP from the perspectives of KMC and OL.Design/methodology/approachAn empirical study is conducted in financial training centers in Taiwan and the collected survey data are used to test the relationships among the four dimensions expressed in the proposed structural equation model.FindingsThe results show that HRM has a direct and significant impact on OL and KMC. HRM influences OP indirectly through OL and KMC. In addition, OL and KMC have direct and significant influences on OP.Research limitations/implicationsOnly data from Taiwan were collected. Therefore, the results may not be easily generalized to other areas or countries, but are useful for managers' reference, especially for those whose circumstances are similar to those in Taiwan.Practical implicationsThe conceptual structural equation model provides useful information for managers to enhance OP through the adoption of appropriate HRM, OL and KMC policies.Originality/valueThe study demonstrates how HRM indirectly impacts OP and illustrates the paths of influence through either OL or KMC.

Strategic planning key factor in tangible–intangible results in microenterprises

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jorge Armando López-Lemus ◽  
María Teresa De la Garza Carranza ◽  
Quetzalli Atlatenco Ibarra ◽  
José Guadalupe López-Lemus
Keyword(s):  
Strategic Planning ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Design Methodology ◽  
Equation Model ◽  
The State ◽  
Cross Sectional ◽  
Content Type ◽  
Key Factor ◽  
Practical Implications

Purpose The objective of this research is to know the degree of influence that strategic planning (SP) exerts on the tangible and intangible results of business microenterprises in the state of Guanajuato, Mexico. Design/methodology/approach The methodological design was quantitative, explanatory, observational and cross-sectional, where a sample of 407 young leaders of microenterprises from the state of Guanajuato, Mexico, was obtained. To evaluate hypotheses, a structural equation model (SEM) was developed. Regarding the goodness and adjustment indices of the SEM, they were absolutely acceptable. Findings The results obtained through Pearson’s correlation show that there is a positive and significant relationship between SP and the tangible and intangible results of microenterprises. In addition, through the results obtained with the SEM model, it is statistically demonstrated that SP positively and significantly influences the tangible and intangible results of microenterprises in the state of Guanajuato, Mexico. Research limitations/implications In this research, only SP was valued as a variable that intervenes in the process of achieving tangible and intangible results to achieve the business objectives of entrepreneurial microenterprises in the state of Guanajuato. It is essential to point out that other variables that intervene in the process must be considered to generate tangible and intangible results. It is recommended to carry out further research under these variables to identify strategies for improving entrepreneurial microenterprises for their growth, sustainability and rapid positioning in a highly competitive market. Practical implications SP represents one of the tools to achieve the success of microenterprises through tangible and intangible results. However, microenterprises show a need to involve the use and application of SP to define clear indicators that contribute to obtaining satisfactory tangible and intangible results. Originality/value The findings are relevant and of great value, because there is currently not enough research that focuses on the variables analyzed, in this sense, SP and the tangible and intangible results of young entrepreneurial leaders of microenterprises in the Mexican context. The limitations of this study lie in the low participation and interest of young microenterprise entrepreneurs in the state of Guanajuato, Mexico.

Does law as resource bring a competitive advantage to companies?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fernando Teixeira ◽  
João J. Ferreira ◽  
Pedro Mota Veiga
Keyword(s):  
Competitive Advantage ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Design Methodology ◽  
Equation Model ◽  
Competitive Advantages ◽  
Sustainable Competitive Advantage ◽  
Business Law ◽  
Content Type ◽  
The Law

Purpose Resources and their analysis are essential to understand better companies’ internal and external dynamics and the weight each has in obtaining competitive advantages over the competition. This study aims to address the law and legal knowledge as a fundamental resource for companies to succeed in the markets to obtain a sustainable competitive advantage. Design/methodology/approach Based upon a sample of 200 managers, a structural equation model was used to validate the hypotheses under study. Findings Results show awareness and managers’ perception of the importance of law as a resource and its advantages for companies and the dichotomy between recognising this importance and not using it consistently. Originality/value Knowing the scope of business law and its growing importance for companies and being academically aware of the inexistence of studies that analyse the law as an individualised resource for companies, this study has a crucial contribution to the interconnection of these two fields – business and law.

A structural equation model of effective variables on service quality in capital industrial goods sector

2014 ◽  
Vol 6 (1) ◽  
pp. 30-42 ◽  
Author(s):  
Seyed Hamid Reza Ghasemian ◽  
Naser Azad ◽  
Hamid Seyedaliakbar
Keyword(s):  
Service Quality ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Simple Random Sampling ◽  
Equation Model ◽  
Quality Model ◽  
Content Type ◽  
Perceived Service Quality ◽  
Customer Perception

Purpose – The purpose of this research is analyzing the service quality in capital industrial goods sector by developing a model and new view. So the authors studied several models and articles for exploring the effective variables on service quality and tested them in Aras Haitian Machinery Company that is one of the biggest manufacturers of plastic machinery in Iran and China. Design/methodology/approach – The statistics population included all customers of Aras Haitian Company in 2012 that were scattered in whole Iran and all of them are manufacturers of industrial goods. And finally 102 customers chose by using simple random sampling method. The way of SPSS statistical analysis software was used for exploratory factor analysis and LISREL software for structural equation model (SEM). Findings – Results indicated that there were three new factors (customer perception, customer relation and specialized competencies) that affected on perceived service quality of customers in capital industrial goods sector. The findings showed that these three factors were measured by ten subdimensions through a SEM. Originality/value – This study is the first to explore the effective variables on perceived service quality in capital industrial goods sector with viewpoint of service dominant logic in Iran andalso proposed the first SEM under the rubric of industrial service quality model in this section.

Feeling unsafe in Italy’s biggest cities

2020 ◽  
pp. 147737082093207
Author(s):  
Riccardo Valente ◽  
Sergi Valera Pertegas ◽  
Joan Guàrdia Olmos
Keyword(s):  
Structural Equation Model ◽  
Fear Of Crime ◽  
Structural Equation ◽  
Safety Management ◽  
Explanatory Power ◽  
Equation Model ◽  
The Other ◽  
The Past ◽  
Urban Safety ◽  
Prior Literature

Crime and fear of crime are key challenges for civic coexistence in contemporary cities, specifically because of the unequal relationship between the two phenomena. In the case of Italy, for instance, even though crime has been trending downward over the past few decades, people are increasingly concerned about their safety. Based on survey data ( N = 6002) collected in Milan, Naples, Rome, and Turin, this research provides a cross-city comparison of the factors that influence individuals’ feelings of unsafety. The results of a multi-group structural equation model endorse the prior literature by revealing that being the victim of a crime predicts higher levels of subjective unsafety. On the other hand, perceived disorder in the neighbourhood, community disaffection, and objective and subjective measures of social exclusion are also consistent predictors of residents’ fears in all four cities. All in all, the model outputs indicate that non-criminal factors have a higher explanatory power than victimization for perceived unsafety. The implications of these findings for urban safety management are discussed.

scholarly journals ADOPSI TEKNOLOGI MUSLIM, SIKAP, DAN INTENSI PEMBELIAN PRODUK INVESTASI ISLAM MENGGUNAKAN FINANCIAL TECHNOLOGY

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
Maulia Nurul ◽  
R. Gratiyana Ningrat
Keyword(s):  
Technology Adoption ◽  
Structural Equation Model ◽  
Significant Relationship ◽  
Structural Equation ◽  
Equation Model ◽  
Buying Behavior ◽  
Intention To Adopt ◽  
Technology Products ◽  
Islamic Investment ◽  
Financial Technology

The purpose of this research is to examines the muslim’s buying behavior in Islamic Financial Technology products based on their technology adoption. The Structural Equation Model (SEM) proves that there’s significant relationship between Technology Adoption to construct the Buying Attitude. Meanwhile, the Technology Adoption has significant relationship directly to Buying Intention which means the  partial mediation of attitude occurs in this model. The Buying Attitude towards Islamic Financial Technology products show significant relationship to buying intention to adopt the Islamic investment products in the future

Factors influencing the behavior of multi-modal information search

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhiyi Li ◽  
Jiayu Zhu ◽  
Xiaolin Li
Keyword(s):  
Technology Acceptance ◽  
Survey Data ◽  
Structural Equation Model ◽  
Influencing Factors ◽  
Information Search ◽  
Structural Equation ◽  
Equation Model ◽  
Survey Method ◽  
Content Type ◽  
System Characteristics

PurposeWith the increasing abundance of network resources and big data, multi-modal information search (MMIS) has been paid more and more attention, but the research results of MMIS are relatively few. This paper attempts to put forward constructive suggestions for the design of multi-modal information system, so that the system can have a better user experience, help users improve the efficiency of obtaining information and optimize the information service mode.Design/methodology/approachA research model of influencing factors is established by using the TAM (technology acceptance model) theory. The influencing factors of users' multi-modal information search behavior (MMISB) are analyzed by using questionnaire, experiment and the structural equation model. On the basis of this, some suggestions are put forward to build the multi-modal search (MMS) system and improve the efficiency of MMIS.FindingsThe research shows that users' MMISB is directly related to their search intention, and the search intention can influence users' cognition of the usefulness and ease of MMIS through their own information search ability and system characteristics. The user's MMIS ability is affected by the demand expression ability and retrieval ability cognition; the user's cognition of system characteristics is affected by the system function and information quality. This shows that the user's MMISB is closely related to the user's cognitive situation, but due to the author's limited time and research ability, only the questionnaire survey method cannot be used to in-depth research and explore the influencing factors of MMIS. Therefore, in the future research, we should combine the interview method to further track the user's emotional factors and scene factors.Originality/valueFor the first time, TAM theory is combined with cross-modal retrieval behavior and the paper explores the influencing factors and evaluation indexes of users' MMISB. The second, the questionnaire was compiled to investigate the influencing factors of the MMISB of the university group, and the reliability analysis, validity analysis, correlation analysis and structural equation model analysis of the survey data are carried out . The survey data and analysis results are original, which can provide a theoretical basis for improving the service level of MMIS.

A structural equation model for the analysis of genetically modified foods consumption

2016 ◽  
Vol 46 (5) ◽  
pp. 706-716 ◽  
Author(s):  
Pasquale Sarnacchiaro ◽  
Roberta Di Gennaro ◽  
Raffaela Palma
Keyword(s):  
Human Health ◽  
Structural Equation Model ◽  
Food Consumption ◽  
Structural Equation ◽  
Genetically Modified ◽  
Equation Model ◽  
Content Type ◽  
Gm Food ◽  
Gm Foods ◽  
The Impact

Purpose The spread of genetically modified (GM) foodstuffs is related to consumer scepticism in Europe, and particularly in Italy. Consumer scepticism in turn depends on the low level of public knowledge about the health consequences, in terms of risks and benefits, of consuming these GM foods. This paper aims, first and foremost, to investigate the phenomenon of GM foodstuffs consumption in Italy and, then, to construct a statistical model for analysing the Italian habits regarding this consumption. Furthermore, this model allows us to formalize the origins of behaviour regarding GM foodstuffs consumption and to detect the drivers of their purchase. Design/methodology/approach From January 2009 to May 2009, 1,061 public high school students in 25 randomly selected schools of a metropolitan area (Naples, South Italy) were questioned. More precisely, each student was given a questionnaire regarding, in the first part, school cultural characteristics and, then, awareness and GM food consumption. A Likert scale was used to answer the questions. After collecting data, the authors chose to apply structural equation modelling, as it is one of the general and powerful multivariate analysis technique useful to simultaneously analyse and evaluate multivariate hypotheses. Findings The findings showed that GM food consumption by Italian students depended on the knowledge of genetically modified organisms (GMOs) and on the impact of this organisms both on human health and the environment. Therefore, in order to help consumers to choose whether or not to eat GM foods, a standardized evaluation system of human health and environmental consequences produced by GMO and GM foods should be created. In particular, the authors introduced a general framework that could help researchers/users to select and assess a hierarchy of the influence of factors on Italian habits regarding the consumption of GM foodstuffs. Originality/value In this research, the authors propose a structural equation model – full formative measurement model – that allows to define the origins of behaviour towards GM food consumption and to detect the drivers of their purchase. Particularly, the authors showed that GM food consumption depended on the knowledge of GMOs and on the impact of the GMOs on human health and the environment.

Factors impacting innovation performance for entrepreneurs in India

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sangeeta Gupta ◽  
Raiswa Saha ◽  
Jaspreet Kaur ◽  
Sakshi Kathuria ◽  
Justin Paul
Keyword(s):  
Social Media ◽  
Technology Use ◽  
Structural Equation ◽  
Equation Model ◽  
Innovation Performance ◽  
Media Technology ◽  
Content Type ◽  
Start Up ◽  
The Impact ◽  
Social Media Technology

PurposeSocial media technology use has elicited an increased interest among academicians and researchers worldwide. The present study examines the latent constructs, such as social media technology use (SMTU), innovation capability (IC), entrepreneurial orientation (EO) and innovation performance (IP), which have not been studied by researchers in the past. The purpose of the study is to examine the impact of SMTU and IC on EO and highlight the impact of EO on IP.Design/methodology/approachA questionnaire survey was conducted to collect data from 164 entrepreneurs, which included CEO/owners, managers or founders of start-up companies from India. The data were analysed with the structural equation model technique.FindingsThe results demonstrate that the model proposed in this study supports all the hypotheses of SMTU, IC, EO and IP. The results of this study provide evidence for the importance of SMTU as a crucial factor that came out from the analysis of Indian entrepreneurs which reiterates the point that the user-generated content could be very important. The results of the research show that entrepreneurs value and are looking forward to using social media for getting individual reviews from consumers about their marketing campaigns, product development and innovation.Practical implicationsAt the level of practice there are significant implications for decision-makers in start-up firms to become more attuned to how SMTU can significantly add importance to the customer experience. This study would also help managers and policymakers in understanding the importance of SMTU when seeking to improve the performance of the organizations.Originality/valueOwing to the increasingly collaborative innovation environment in entrepreneurship, the authors draw the attention of managers to the need of SMTU for innovation actions and provide a logical framework to guide action for organizational analysis.

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