Intent to adopt big data analytics in Malaysian public agencies: Integrating TTF, UTAUT and IT model

Purpose: This research objective was to analyze factors affecting IT practitioners’ behavioral intentions in adopting (BDA) using a combination of Initial Trust Model (ITM), Unified Theory Of Acceptance And Use Of Technology (UTAUT) AND Task-Technology Fit (TTF) Model acceptance models.Design/methodology/approach: Using a cross sectional survey, empirical data were collected. A total of 200 questionnaires were obtained and screened. 14 insufficient answers were subsequently discarded leaving 186 valid structured data review questionnaires. Data was analizad using the Partial Least Square Modeling of Structural Equations due to one of the best software for verifying structured data on structural equations modeling (SEM).Findings: Our findings show that two key factors determine behavioral intention to adopt BDA in government agencies. Firstly, the assumption that the technology is going to produce great results raises the expectation of performance. TTF was the second determinant factor. Surprisingly, Initial trust, on the other hand, had not been considered to be a key determinant of behavioural intention and was found to be adversely related to the BDA intentionResearch limitations/implications: These findings identify the crucial model, that would be useful to IT officers in public agencies in making investment choices and designing non-adopter-friendly outreach strategies because they have more barriers to acceptance than adopters and lead adopters in the reward ladder.Practical implications: The findings suggest significant recommendations and consequences for BDA systems practitioners and application developers, which could coincide with the successful implementation of BDA systems. This research gives practitioners an initial way to incorporate and endorse BDA activities in their organization to make the most of the advantages of revolutionary technology, particularly within public agencies.Originality/value: This study's model is helpful and promotes a theory for further BDA research. By utilizing the model, existing public agencies can know their own BDA capability, centered around activities with specifically tailored outcomes, organization dynamics, resources, skills and potential services.

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Factors Influencing Physicians' Acceptance of e-Health in Developing Country

International Journal of Healthcare Information Systems and Informatics ◽

10.4018/ijhisi.2016010104 ◽

2016 ◽

Vol 11 (1) ◽

pp. 58-70 ◽

Cited By ~ 4

Author(s):

Md. Rakibul Hoque ◽

Adnan Albar ◽

Jahangir Alam

Keyword(s):

Developing Countries ◽

Structural Equation ◽

New Technology ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Healthcare Facilities ◽

Personal Innovativeness

E-Health is one of the solutions to provide better access for patients and physician to healthcare facilities. In developing countries, e-Health is particularly important due to a shortage of physician and medical workers. Although most physicians in developing countries like Bangladesh acknowledge the benefits of e-Health, low adoption is not uncommon. The objective of this study is to identify the critical factors affecting e-Health adoption among physicians in Bangladesh. A cross-sectional survey questionnaire method was used for this study. The structural equation modeling (SEM) with the partial least square (PLS) approach was used to analyze the data. The study found that Performance Expectancy, Effort Expectancy, Social Influence and Personal Innovativeness had a significant impact on the behavioral intention to use e-Health, while Facilitating Conditions had no significant effect. The findings of this study will facilitate the degree of more acceptance of new technology by the physicians for their own betterment.

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User Acceptance of Internet of Vehicles Services: Empirical Findings of Partial Least Square Structural Equation Modeling (PLS-SEM) and Fuzzy Sets Qualitative Comparative Analysis (fsQCA)

Mobile Information Systems ◽

10.1155/2020/6630906 ◽

2020 ◽

Vol 2020 ◽

pp. 1-22

Author(s):

Yikai Liang ◽

Guijie Zhang ◽

Feng Xu ◽

Weijie Wang

Keyword(s):

Structural Equation Modeling ◽

Behavioral Intention ◽

Perceived Risk ◽

Structural Equation ◽

Trust Model ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Future Market ◽

Initial Trust

Recently, IoV-based services and vehicles have come to the forefront as part of the growing market for the automobile industry. Since IoV-based services and vehicles were introduced, they have been expected to grow rapidly. However, contrary to optimistic expectations for future market growth, the IoV-based services and vehicles market has appeared to hit a roadblock and remains at an early market stage. Therefore, research of the determinants leading to consumers’ intention to accept and purchase IoV-based services and vehicles is significant for either academics or practitioners. Drawing upon the extended unified theory of acceptance and use of technology acceptance model (UTAUT2), the perceived risk theory, and the initial trust model, we developed an integrated conceptual model and explored what and how various determinant antecedent conditions fit together on consumer intention to accept IoV-based services and vehicles. The proposed model and hypotheses were assessed by both symmetric (partial least square structural equation modeling, PLS-SEM) and asymmetric (fsQCA) approaches using online survey datasets with 362 Chinese consumers. The findings suggest that PLS-SEM and fsQCA are complementary analytical techniques providing comparable results. PLS-SEM results indicate that performance expectancy, price value, habit, and initial trust have significant effects on behavioral intention to accept IoV services. Despite other determinants, e.g., effort expectancy, social influence, facilitating conditions, hedonic motivation, and perceived risk, have no significant effect. FsQCA results reveal twelve different configurations of determinants resulting in a high level of behavioral intention to accept IoV services, and eight causal paths equifinally leading to the negation of behavioral intention to accept IoV services. These findings suggest that several conditions that were not significant in PLS-SEM are sufficient conditions when combined with other conditions. This study enriches relevant research studies on IoV-based services acceptance and provides relevant insights and marketing suggestions for incentivizing consumers to accept the IoV-based services.

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ENVIRONMENTALLY SPECIFIC SERVANT LEADERSHIP AND EMPLOYEES’ PROENVIRONMENTAL BEHAVIOUR IN HOSPITALITY FIRMS IN SOUTH AFRICA

GeoJournal of Tourism and Geosites ◽

10.30892/gtg.37328-730 ◽

2021 ◽

Vol 37 (3) ◽

pp. 943-950

Author(s):

Olawale FATOKI ◽

Keyword(s):

Servant Leadership ◽

Structural Equation ◽

Quantitative Research ◽

Partial Least Square ◽

Least Square ◽

Mediating Effect ◽

Survey Method ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Hospitality Firms

Leaders can influence the prosocial behaviour of employees through their behaviour and action. The study investigated the effect of environmentally specific servant leadership (ESSL) on employees’ voluntary pro-environmental behaviour (PEB) in hospitality firms. In addition, the study examined the mediating role of harmonious environmental passion (HEP) in the relationship between ESSL and PEB. The study adopted the quantitative research design and the cross-sectional survey method was adopted for data collection. The Partial Least Square Structural Equation Modelling (PLS SEM) with Smart-PLS 3.2.8 software was used for data analysis. The results indicated a significant positive relationship between ESSL and employees’ PEB. The mediating effect of HEP is significant. Theoretical, empirical and managerial implications are discussed.

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Relationships among social capital, self-efficacy, and new venture creations

Management Decision ◽

10.1108/md-04-2017-0304 ◽

2018 ◽

Vol 56 (1) ◽

pp. 204-218 ◽

Cited By ~ 1

Author(s):

Kannadhasan M. ◽

Parikshit Charan ◽

Pankaj Singh ◽

Sivasankaran N.

Keyword(s):

Social Capital ◽

Self Efficacy ◽

Partial Least Square ◽

Least Square ◽

New Venture ◽

New Venture Creation ◽

Venture Creation ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Content Type

Purpose The purpose of this paper is to examine the relationship of social capital with new venture creation, and whether self-efficacy plays a role in mediating the association between social capital and new venture creation. Design/methodology/approach Data were collected from 375 entrepreneurs through cross-sectional survey in India. The study used partial least square path modeling to assess the relationships among the variables. Findings Findings reveal that social capital is positively related to new venture creation. The association of social capital and new venture creation is fully mediated by entrepreneurs’ self-efficacy. Originality/value The role of social capital in the success of new venture creations through self-efficacy is useful to the potential entrepreneurs and people who facilitate new venture creation in Indian context.

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Exploring the Relationship Between Personality Factors and Workplace Deviant Behavior Among Pekanbaru City Civil Servants

Performance ◽

10.20884/1.performance.2017.24.1.309 ◽

2017 ◽

Vol 24 (1) ◽

pp. 1 ◽

Cited By ~ 1

Author(s):

Dwi Hastuti

Keyword(s):

Deviant Behavior ◽

Partial Least Square ◽

Workplace Deviance ◽

Civil Servants ◽

Least Square ◽

Survey Method ◽

Personality Factors ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Employee Recruitment

This study investigated personality factors as predictors of workplace deviance behavior among civil servants in Pekanbaru, Indonesia. Using cross-sectional survey method, data were conducted to 263 civil servants from various departments and Agencies in Pekanbaru by using questionnaires. The instrument for data collection includes the Big Five Inventory (BFI) and the Workplace Deviance Scale. The hypothesis was used multiple regression with data analyzed by using Partial Least Square (PLS). The results revealed that there were a significant influence personality factors to workplace deviance behavior. The independently, extraversion and conscientiousness have negative significant to workplace deviance behavior and neuroticism and openness to experience have positive significant to workplace deviance behavior but not agreeableness significantly. This study recommended that the importance of taking personality traits into consideration during employee recruitment processes to minimize workplace deviant behavior.

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Does the Environment Impact Entrepreneurial Business Intention?

KnE Social Sciences ◽

10.18502/kss.v5i8.9355 ◽

2021 ◽

Author(s):

Ludi Wishnu Wardana ◽

Saparuddin Mukhtar ◽

Agus Wibowo ◽

Bagus Shandy Narmaditya ◽

Sandy Eka Suprajan ◽

...

Keyword(s):

Structural Equation Modeling ◽

Structural Equation ◽

Institutional Environment ◽

Partial Least Square ◽

Least Square ◽

Entrepreneurial Intentions ◽

Equation Modeling ◽

Environment Impact ◽

Cross Sectional Survey ◽

Cross Sectional

This study aims to investigate the determinants that influence youth in preparing for entrepreneurship in Indonesia. A quantitative approach was applied, using a cross-sectional survey with 425 young entrepreneur respondents in East Java. Data were analyzed using Structural Equation Modeling-Partial Least Square (SEM-PLS). The findings showed that entrepreneurial intentions can be explained by the institutional environment and can provide motivation to start a business. This study confirmed the strong correlation between motivation to start a business and entrepreneurial intentions in preparing for entrepreneurship programs. Keywords: Institutional Environment, Motivate to Start a Business, Entrepreneurial Intentions

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Development of Intention to Stay Model for Temporary Nursing Staff in RS UNAIR

Jurnal NERS ◽

10.20473/jn.v9i22014.313-320 ◽

2016 ◽

Vol 9 (2) ◽

pp. 313

Author(s):

Ike Nesdia Rahmawati ◽

Nursalam Nursalam ◽

Ninuk Dian Kurniawati

Keyword(s):

Job Satisfaction ◽

Nursing Staff ◽

Work Life ◽

Partial Least Square ◽

Least Square ◽

Cross Sectional Survey ◽

Intention To Stay ◽

Cross Sectional ◽

Quality Of Nursing

Introduction: Intention to stay of nurses is important to reduce turnover rate and to improve the stability of hospital. Quality of nursing work life (QNWL) has been found to influence intention to stay. However, reliable information of this effect is limited. The purpose of this study was to develop the model of intention to stay for temporary nursing staff in RS UNAIR. Method: Anexplanative cross-sectional survey design was used in this study. Data were collected by using questionnaire among 32 nurses working at different units in this hospital through simple random sampling and analyzed by partial least square (PLS). Result: QNWL affected job satisfaction but did not affect commitment. Commitment was significantly affected by job satisfaction. There was effect of job satisfaction on intention to stay. Commitment also significantly affected intention to stay Discussion: QNWL is a predictor of intention to stay trough job satisfaction and commitment. It is recommended that more focused interventions on QNWL, job satisfaction, and commitment developments may improve intention to stay. Recruitment of non-nursing staff to carry out billing and administrative tasks is urgently needed. Suggestions for further research is to analyze the effect of empowerment, remuneration, and career ladder on nurses’ intention to stay.Keywords: intention to stay, quality of nursing work life, job satisfaction, commitment.

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An Empirical Study on Service Recovery Satisfaction in an Open and Distance Learning Higher Education Institution in Malaysia

The International Review of Research in Open and Distributed Learning ◽

10.19173/irrodl.v21i2.4578 ◽

2020 ◽

Vol 21 (2) ◽

pp. 36-60

Author(s):

Mohd Rushidi Bin Mohd Amin ◽

Shishi Kumar Piaralal ◽

Yon Rosli bin Daud ◽

Baderisang Bin Mohamed

Keyword(s):

Structural Equation ◽

Service Failure ◽

Service Recovery ◽

Education Institution ◽

Partial Least Square ◽

Least Square ◽

Cross Sectional Survey ◽

Cross Sectional ◽

University Image ◽

Recovery Satisfaction

This study investigated the relationships among justice dimensions (distributive, procedural, interpersonal, and informational), university image, service recovery satisfaction, and customer behavioural outcomes (trust, word of mouth, repurchase intention, and loyalty). This study adopted a cross-sectional survey approach and data were collected through a survey of 303 students of Open University Malaysia in Malaysia who experienced service failure and service recovery. The framework was tested via partial least square structural equation modelling, and the results revealed a significant relationship between justice dimensions and service recovery satisfaction in terms of procedural and interpersonal justice. Service recovery satisfaction had a significant effect on all customer behavioural outcomes investigated. University image did not have a moderating effect on the relationship between justice dimensions and service recovery satisfaction. Theoretical and practical implications of the study are discussed in this paper.

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DEVELOPING HOLISTIC CARE MODEL: THE PHYSICAL WELLBEING OF ELDERLY BASED ON SOCIAL SUPPORT AND CHARACTERISTIC

Public Health of Indonesia ◽

10.36685/phi.v4i3.147 ◽

2018 ◽

Vol 4 (3) ◽

pp. 108-115

Author(s):

Pipit Festi Wiliyanarti ◽

Asri Asri ◽

Kusuma Wijaya Ridi Putra

Keyword(s):

Social Support ◽

Structural Equation ◽

Survey Design ◽

Partial Least Square ◽

Least Square ◽

Holistic Care ◽

Equation Modeling ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Physical Wellbeing

Background: Elderly experiences with degenerative process in their life spam and physical condition as well as their ability to adopt with their environment. Those conditions will influence the achievement of elderly wellbeing.Purpose: This study aims to examine physical wellbeing in elderly based on social support and elderly characteristic.Method: This study employed cross-sectional survey design. The population was elderly who lived in east Surabaya. One hundred and ten of elderly were recruited. Their age was more than sixty years old, living with their family and under Medokan Ayu Public Health Center supervision. Multi stage random sampling was performed. The research instrument was physical wellbeing including elderly autonomy, cognitive, complaining about physical and disease as well. Structural Equation Modeling with Partial Least Square (SMART PLS) was used to analyze the data.Results: The research results showed that majority of emotional support in social support variable was good (98%). The majority of instrumental support was good (88.18%). Social wellbeing has significant relationship with the elderly physical wellbeing (p 0.312, t-statistic: 4.420, t-table: 1.65), elderly characteristic of holistic care (0.178, t-statistics 2.422, t-table: 1.65), and elderly characteristic of physical health (0.140. t-statistic 1.790, t table.1.65).Conclusion: Social support influences the physical wellbeing of elderly.

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UNDERSTANDING THE INFLUENCE OF MEDIA RICHNESS IN DEVELOPING CUSTOMER TRUST, COMMITMENT AND LOYALTY

Journal of Business and Social Development ◽

10.46754/jbsd.2020.09.003 ◽

2020 ◽

Vol 8 (2) ◽

Author(s):

NORAIHAN MOHAMAD ◽

Keyword(s):

Customer Loyalty ◽

Structural Equation ◽

Partial Least Square ◽

Least Square ◽

Media Richness ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Face To Face ◽

The Right ◽

Customer Trust

Customer loyalty aids businesses by increasing their ability to face competition, reduce marketing costs, provide publicity through word-of-mouth, and boost sales and profits in the long term. Prior studies consistently revealed that brand is an antecedent of customer trust and commitment, and it nurtures loyalty. However, today, the customers’ perception and attitude towards businesses have changed. Customer loyalty can be developed using various antecedents. Drawing upon the Media Richness Theory (MRT), this study aims to identify the effects of integrating print, online and face-to-face media in developing customer trust, commitment and loyalty. A cross-sectional survey was conducted among customers who purchased computer products in a particular shop. A total of 295 respondents were selected based on purposive and systematic random sampling techniques. Partial Least Square-Structural Equation Modelling (PLS-SEM) was employed to test the hypothesized model. The results show that media richness, through the integration of print, online and face-to-face communication, may significantly affect trust and customer loyalty. In conclusion, the research findings indicate that the the integration of various media may help customers make the right purchase decision. This study contributes to MRT by expanding it from the perspective of consumer behaviour. In practical terms, the findings provided important information to help ensure business sustainability and continuity.

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