scholarly journals Applying UTAUT and Fuzzy Dematel Methods: A New Legal Aid Administration System

2021 ◽  
Vol 8 (1) ◽  
pp. 24-36
Author(s):  
Jeremiah Kau Makokoane ◽  
Docter Joe Khosa
Keyword(s):  
Decision Making ◽  
Technology Acceptance ◽  
Fuzzy Decision Making ◽  
Direct Influence ◽  
Legal Aid ◽  
Fuzzy Dematel ◽  
Use Of Technology ◽  
The Social ◽  
Main Determinants ◽  
Facilitating Conditions

A hybrid UTAUT and Fuzzy Dematel Method is proposed in assessing the perception of accepting the new electronic Legal Aid Administration (eLAA) system by employees of Legal Aid South Africa. Information technology acceptance research has in many respects provided insight to decision-making on reviewing user acceptance. Legal Aid SA’s employees’ perception measured by their response of assessment is useful information on users’ attitude of accepting the eLAA system. Therefore, this study aims to measure the main determinants of intention and usage of the new system by users using the Unified Theory of Acceptance and Use of Technology (UTAUT). Further, we identify the cause-and-effect factors of acceptance and suggest the importance of factors using the Fuzzy Decision-Making Trial and Evaluation Laboratory (Dematel) method. The findings of this study suggest that the UTAUT dimensions of Performance Expectancy has high direct influence on acceptance of the eLAA system by Legal Aid SA employees than other variances. Alternatively, Effort Expectancy (EE) dimension is in the overall having the least power of direct influence on using the eLAA system. Notably, both the Social Influence and Facilitating Conditions have low direct influence in predicting the attitude of using the eLAA system. The findings of this study are useful in assisting the management of Legal Aid SA to gain insight into preferred ways to introduce automated systems that are perceived useful and acceptable amongst employees.

scholarly journals Nurses and the acceptance of innovations in technology-intensive contexts: the need for tailored management strategies

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chiara Barchielli ◽  
Cristina Marullo ◽  
Manila Bonciani ◽  
Milena Vainieri
Keyword(s):  
Social Influence ◽  
Ad Hoc ◽  
New Technologies ◽  
Management Strategies ◽  
Technological Innovations ◽  
Utaut Model ◽  
Use Of Technology ◽  
The Social ◽  
Depth Analysis ◽  
Facilitating Conditions

Abstract Background Several technological innovations have been introduced in healthcare over the years, and their implementation proved crucial in addressing challenges of modern health. Healthcare workers have frequently been called upon to become familiar with technological innovations that pervade every aspect of their profession, changing their working schedule, habits, and daily actions. Purpose An in-depth analysis of the paths towards the acceptance and use of technology may facilitate the crafting and adoption of specific personnel policies taking into consideration definite levers, which appear to be different in relation to the age of nurses. Approach The strength of this study is the application of UTAUT model to analyse the acceptance of innovations by nurses in technology-intensive healthcare contexts. Multidimensional Item Response Theory is applied to identify the main dimensions characterizing the UTAUT model. Paths are tested through two stage regression models and validated using a SEM covariance analysis. Results The age is a moderator for the social influence: social influence, or peer opinion, matters more for young nurse. Conclusion The use of MIRT to identify the most important items for each construct of UTAUT model and an in-depth path analysis helps to identify which factors should be considered a leverage to foster nurses’ acceptance and intention to use new technologies (o technology-intensive devices). Practical implications Young nurses may benefit from the structuring of shifts with the most passionate colleagues (thus exploiting the social influence), the participation in ad hoc training courses (thus exploiting the facilitating conditions), while other nurses could benefit from policies that rely on the stressing of the perception of their expectations or the downsizing of their expectancy of the effort in using new technologies.

scholarly journals Barriers to eHealth adoption in routine antenatal care practices: Perspectives of expectant mothers in Uganda – A qualitative study using the unified theory of acceptance and use of technology model

2021 ◽  
Vol 7 ◽  
pp. 205520762110644
Author(s):  
Hasifah Kasujja Namatovu ◽  
Tonny Justus Oyana ◽  
Henk Gerard Sol
Keyword(s):  
Maternal Health ◽  
Antenatal Care ◽  
Technology Acceptance ◽  
Unified Theory ◽  
Health Providers ◽  
Use Of Technology ◽  
Expectant Mothers ◽  
Care Practices ◽  
Facilitating Conditions ◽  
Routine Antenatal Care

Current empirical evidence suggests that successful adoption of eHealth systems improves maternal health outcomes, yet there are still existing gaps in adopting such systems in Uganda. Service delivery in maternal health is operating in a spectrum of inadequacy, hence eHealth adoption cannot ensue. This study set out to explore the challenges that impede eHealth adoption in women's routine antenatal care practices in Uganda. A qualitative approach using semi-structured interviews was employed to document challenges. These challenges were classified based on a unified theory of acceptance and use of technology constructs. One hundred and fifteen expectant mothers, aged between 18 and 49 years, who spoke either English or Luganda were included in the study that took place between January to May 2019. Thematic analysis using template analysis was adopted to analyse qualitative responses. Challenges were categorised based on five principal unified theories of acceptance and use of technology constructs namely: performance expectancy, effort expectancy, social influence, facilitating conditions and behavioural intention. Facilitating conditions had more influence on technology acceptance and adoption than the other four constructs. Specifically, the lack of training prior to using the system, technical support, computers and smart phones had a downhill effect on adoption. Subsequently, the cost of data services, internet intermittency, and the lack of systems that bridge the gap between mothers and health providers further hindered technology uptake. In conclusion, strategies such as co-development, training end-users, garnering support at the national and hospital levels should be advocated to improve user acceptance of technology.

scholarly journals Does Technology Readiness and Acceptance Induce more Adoption of E-Government? Applying the UTAUT and TRI on an Indonesian Complaint-Based Application

2020 ◽  
Vol 4 (1) ◽  
pp. 68
Author(s):  
Dhia Khalila Rinjany
Keyword(s):  
Technology Acceptance ◽  
Smart City ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Technology Readiness ◽  
Intention To Use ◽  
Technology System ◽  
Use Of Technology ◽  
Readiness Level ◽  
Facilitating Conditions

Most researches relating to the success of information and technology system application focus on two separate matters, namely technology readiness and technology acceptance. Both perspectives are used to observe how technology is adopted by users. However, very few studies test them both concurrently in a single research. This research, therefore, aims to conduct testing on the two concurrently without separating them. This article attempts to put two differing theories to the test, which are the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Technology Readiness Index (TRI), in the context of e-government that is carried out via the Jakarta Smart City Program. To be more specific, the aJakarta Smart City Program analyzed in this study is the Qlue and CRM (Citizen Management Relationship) applications. The research method employed in this article is the quantitative method, wherein 225 respondents participated in this research to assess the level of technology readiness, the gathered data were subsequently processed by using the descriptive statistics analysis technique. Furthermore, 185 respondents also participated in observing how behavior influences the intention to use technology. These data were processed by using multiple linear regression analysis. Research results indicate that Jakarta SCR citizens’ technology readiness level can still be categorized as low and is identified as belonging to the Low Technology Readiness group, with a total TRI value of 2.7. Additionally, this research also shows that performance expectancy (PE), effort expectancy (EE), social influence (SI), and facilitating conditions (FC) have positive and significant influence on the dependent variable, namely the behavioral intention to use the system (BIUS).

Toward diffusion of e-Zakat initiatives amid the COVID-19 crisis and beyond

foresight ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saeed Awadh Bin-Nashwan
Keyword(s):  
Smartphone Application ◽  
Future Research ◽  
Snowball Sampling ◽  
Content Type ◽  
Intention To Adopt ◽  
Use Of Technology ◽  
Main Determinants ◽  
Facilitating Conditions ◽  
Relief Efforts ◽  
The Relationship

Purpose While the financial relief efforts are struggling to keep up with the COVID-19 outbreak, there is a need for the diffusion of e-Zakat initiatives and work with fintech if governments truly strive to ensure that most vulnerable do not fall behind. The newly launched e-system – popularly known as ZAKATY (e-portal and smartphone application) – in Saudi Arabia is an example worth attention and study on how well people can accept and use the system and Zakat payer-centric e-services, especially amid such uncertain times. The purpose of this study is to explore how an extended unified model of acceptance and use of technology (UTAUT) can induce users to adopt the ZAKATY e-services provided by the General Authority of Zakat and Tax during this unprecedented challenge to pay Zakat online in an easy, fast and reliable way. Design/methodology/approach Drawing on a quantitative approach through an online administered survey, a total of 479 usable responses from individual Zakat payers were obtained using snowball sampling and analyzed through smart partial least squares (SmartPLS) software. Findings This study confirms the suitability and utility of the UTAUT model used in predicting Zakat payers’ intention to adopt the e-Zakat system and its services, indicating that the model possesses 72% of the predictive capability to explain variance in intentions. It also shows that all UTAUT constructs (i.e. performance expectancy, social influence and facilitating conditions) were statistically significant, except for effort expectancy. Online trust exerted a significant moderating effect on the relationship between UTAUT constructs and users’ intentions to uptake the system’s online services amid COVID-19. Practical implications To keep pace with rapid digital transformations amid the pandemic, Zakat institutions, as governmental entities, are likely pursuing to identify the main determinants that influence people’s intentions to engage in adopting e-Zakat services. This could be eventually translated into maximizing the proceeds of Zakat funds by developing ICT-based infrastructure and introducing reliable and efficient e-services that can be adopted by users. Originality/value Given the scarce literature on the relevance of e-Zakat systems’ adoption, this work could serve as a building block and springboard for literature and future research by empirically examining an extended framework derived from the UTAUT theory in the Zakat context.

Barriers to implementing digitalization in the Indian construction industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Avirag Bajpai ◽  
Subhas C. Misra
Keyword(s):  
Decision Making ◽  
Construction Industry ◽  
Research Paper ◽  
Fuzzy Decision Making ◽  
Top Management ◽  
Research Approach ◽  
Extensive Literature ◽  
Total Quality ◽  
Fuzzy Dematel ◽  
Content Type

PurposeThis research paper aims to analyze the critical barriers to implementing digitalization in the Indian construction industry as Indian construction companies are lagging in the implementation of digital technologies in the work environment.Design/methodology/approachIn this research paper, a qualitative research approach is adopted, and multiple detailed interviews are conducted with industry and academic experts. Further, multi-criteria decision-making (MCDM) techniques are used to finalize the prioritization among various alternatives. The fuzzy-decision-making trial and evaluation laboratory (Fuzzy-DEMATEL) and interpretive structural modeling (ISM) techniques are employed to find the exact relationship among the identified alternatives.FindingsThis study identifies 14 critical barriers from an extensive literature review and multiple interviews with industry professionals, and further driving and critical barriers are identified.Research limitations/implicationsIn this research paper, an exploratory study with a limited number of respondents from a large Indian construction company is carried out. Further, a detailed longitudinal analysis can be done to assess the subjectivity of the participants with more advanced statistical tools. However, this research discusses several points pertaining to the implementation of digitalization in the construction industry. The research further identifies the critical barriers to digitalization in the Indian construction industry.Practical implicationsThe finding of the study has two-pronged implications. First, it provides a road-map to the construction industry by highlighting the engagement of top management as the key focus area for successful digitalization. Second, the finding also shows similarity of the digitalization process to the adoption of process improvement techniques like lean and total quality management (TQM), wherein the top management plays a crucial role in ushering in the implementation of a disruptive change.Originality/valueThe research is unique in two ways. First, this is one of the very few attempts to understand digitalization in the Indian context. Second, the research also demonstrates that the combination of fuzzy DEMATEL and ISM techniques can be successfully employed in the emerging field of construction digitalization research.

An Uncertain Decision Making Process Considering Customers and Services in Evaluating Banks

2014 ◽  
pp. 1115-1150
Author(s):  
Fatemeh Akbari ◽  
Hamed Fazlollahtabar ◽  
Iraj Mahdavi
Keyword(s):  
Decision Making ◽  
Service Quality ◽  
Customer Relationship ◽  
Fuzzy Decision Making ◽  
Decision Making Process ◽  
Service Firms ◽  
Fuzzy Dematel ◽  
Fuzzy Anp ◽  
Network Process ◽  
Good Relation

In today's changing environment two properties are required to service namely good relation with customers and service quality. Nowadays no organization can get great achievement unless it can attract sufficient customers providing better service quality is important for service firms. This paper proposes a novel combined approach utilizing group decision making process to evaluate and rank criteria influencing the customer relationship management and service quality of four banks in Iran based on fuzzy decision making trial and evaluation laboratory (Fuzzy DEMATEL) and fuzzy analytic network process (Fuzzy ANP). Defuzzification of decision makers' judgments is handled by Converting Fuzzy data into Crisp Scores (CFCS) method. Fuzzy DEMATEL is applied to deal with inner dependencies among criteria. Fuzzy ANP is used to compute final ranking of four banks as an empirical example. An empirical study is presented to illustrate the application of the proposed method.

An Uncertain Decision Making Process Considering Customers and Services in Evaluating Banks

2013 ◽  
Vol 4 (2) ◽  
pp. 48-78 ◽  
Author(s):  
Fatemeh Akbari ◽  
Hamed Fazlollahtabar ◽  
Iraj Mahdavi
Keyword(s):  
Decision Making ◽  
Service Quality ◽  
Analytic Network Process ◽  
Customer Relationship ◽  
Fuzzy Decision Making ◽  
Decision Making Process ◽  
Service Firms ◽  
Fuzzy Dematel ◽  
Fuzzy Anp ◽  
Great Achievement

In today’s changing environment two properties are required to service namely good relation with customers and service quality. Nowadays no organization can get great achievement unless it can attract sufficient customers providing better service quality is important for service firms. This paper proposes a novel combined approach utilizing group decision making process to evaluate and rank criteria influencing the customer relationship management and service quality of four banks in Iran based on fuzzy decision making trial and evaluation laboratory (Fuzzy DEMATEL) and fuzzy analytic network process (Fuzzy ANP). Defuzzification of decision makers’ judgments is handled by Converting Fuzzy data into Crisp Scores (CFCS) method. Fuzzy DEMATEL is applied to deal with inner dependencies among criteria. Fuzzy ANP is used to compute final ranking of four banks as an empirical example. An empirical study is presented to illustrate the application of the proposed method.

scholarly journals Evaluating the Social Marketing Success Criteria in Health Promotion: A F-DEMATEL Approach

2020 ◽  
Vol 17 (17) ◽  
pp. 6317
Author(s):  
Chi-Horng Liao
Keyword(s):  
Decision Making ◽  
Health Promotion ◽  
Social Marketing ◽  
Behavioral Change ◽  
Marketing Mix ◽  
Individual Behavior ◽  
Target Audience ◽  
Fuzzy Decision Making ◽  
Success Criteria ◽  
The Social

Health promotion campaigns are used to raise awareness about health issues with the purpose of improving health outcomes and community wellbeing. They are important for increasing community awareness of health behavior changes. In the application of health promotion, social marketing can be used to influence changes in individual behavior. Social marketing encourages the social behavioral change of the target audience. This social behavioral change refers to the behavior of a certain number of target audiences, not just individual behavior. This research identified various social marketing success criteria to improve the performance of health promotion using decision-making method. Fuzzy decision-making trial and evaluation laboratory (F-DEMATEL) is a structural causal relation method that has been verified effectual in congregating the viewpoints of professionals and thus providing information of greater reliability in various areas. F-DEMATEL method helps to identify the core problems and direction of improvement in complex systems by quantifying the degree to which criteria attributes interact with each other. This research applied F-DEMATEL to evaluate the complex interrelation success criteria of social marketing in order to effectively implement health promotion. Several effective criteria were derived from this research. These influential criteria are “Designing effective Communication message”, “Meeting the needs of beneficiaries”, “Providing more benefit than cost”, “Marketing mix elements”, “Customer orientation”, “Organizational advantage” and “Market selection”. The practitioner must consider the needs of the recipients to accomplish a successful social marketing campaign in health promotion. Moreover, the practitioner also has to design an attractive message and marketing mix strategy to communicate the benefits of the behavioral change to the target audience. Besides, the message delivered by the known organization increases the success of social marketing in promoting healthy lifestyle. This study provides important information for the non-profit organization about selecting the significant criteria to lead to the success of the campaign.

Application of fuzzy DEMATEL and fuzzy CODAS for analysis of workforce attributes pertaining to Industry 4.0: a case study

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
S Vinodh ◽  
Vishal Ashok Wankhede
Keyword(s):  
Decision Making ◽  
Industry 4.0 ◽  
Skills Training ◽  
Fuzzy Decision Making ◽  
System Modelling ◽  
Fuzzy Decision ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Modern Manufacturing

PurposeThe aim of this study is to analyze workforce attributes related to Industry 4.0 using fuzzy decision-making trial and evaluation laboratory (DEMATEL) and fuzzy combinative distance-based assessment (CODAS).Design/methodology/approachTechnological trends stipulate various revolution in industries. Industry 4.0 is a vital challenge for modern manufacturing industries. Workforce adoption to such challenge is gaining vital importance. Therefore, such workforce-related attributes need to be identified for enhancing their performance in Industry 4.0 environment. In this context, this article highlights the analysis of 20 workforce attributes for Industry 4.0. Relevant criteria are prioritized using fuzzy DEMATEL. Workforce attributes are prioritized using fuzzy CODAS.FindingsThe key attributes are “Skills/training in decision-making (WA2)”, “Competences in complex system modelling and simulation (WA1)” and “Coding skills (WA20)”.Research limitations/implicationsIn the present study, 20 workforce attributes are being considered. In future, additional workforce attributes could be considered.Practical implicationsThe study has been conducted based on inputs from industry experts. Hence, the inferences have practical relevance.Originality/valueThe analysis of workforce attributes for Industry 4.0 using MCDM methods is the original contribution of the authors.

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