Wearable sensing devices acceptance behavior in construction safety and health: assessing existing models and developing a hybrid conceptual model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ifeanyi Okpala ◽  
Chukwuma Nnaji ◽  
Ibukun Awolusi
Keyword(s):  
Technology Acceptance ◽  
Conceptual Model ◽  
Construction Industry ◽  
Structural Equation ◽  
Online Survey ◽  
Worker Safety ◽  
Equation Modeling ◽  
Content Type ◽  
Wearable Sensing ◽  
Field Workers

Purpose This study aims to examine relationships between several key technology acceptance variables that predict workers’ wearable sensing devices (WSDs) acceptance in the construction industry by using technology acceptance model, theory of planned behavior and unified theory of acceptance and use of technology (UTAUT) model. The study proposes a hybrid conceptual model to measure construction field workers’ intentions to use WSDs and their usage behaviors. The study introduces variables that are instrumental in understanding and improving WSD acceptance in construction. Design/methodology/approach The study was carried out using a structured literature review, online survey and structural equation modeling. A total of 195 field workers across the USA, with experience in using WSDs, participated in the study. Findings Results indicate that all three theories predict WSD acceptance with variables explaining at least 89% of the variance in actual use, with the UTAUT outperforming other models (91%). However, the differences between the predictive power of these models were not statistically significant. A hybrid conceptual model is proposed using findings from the present study. Practical implications The study contributes to knowledge and practice by highlighting key variables that influence WSD acceptance. Findings from this study should provide stakeholders with critical insights needed to successfully drive WSD acceptance in the construction industry. Originality/value To the best of the authors’ knowledge, this is the first study that evaluates the predictive strength of multiple technology acceptance theories and models within the construction worker safety technology domain. Additionally, the study proposes a hybrid conceptual model which could provide practitioners and researchers with information pertinent to enhancing WSD acceptance.

Consumer acceptance of smart speakers: a mixed methods approach

2018 ◽  
Vol 12 (4) ◽  
pp. 418-431 ◽  
Author(s):  
Pascal Kowalczuk
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Smart Devices ◽  
Intention To Use ◽  
Content Type ◽  
Acceptance Model

PurposeVoice-activated smart speakers such as Amazon Echo and Google Home were recently developed and are gaining popularity. Understanding and theorizing the underlying mechanisms that encourage or impede consumers to use smart speakers is fundamental for enhancing acceptance and future development of these new devices. Therefore, building on technology acceptance research, this study aims to develop and test an acceptance model for investigating consumers’ intention to use smart speakers.Design/methodology/approachFirst, antecedents that may significantly affect the usage intention of smart speakers were identified through an explorative approach by a netnographic analysis of customer reviews (N= 2,186) and Twitter data (N= 899). Afterward, these results and contemporary literature were used to develop and validate an acceptance model for smart speakers. Structural equation modeling (SEM) was used to test the proposed hypotheses on data collected from 293 participants of an online survey.FindingsBesides perceived ease of use and perceived usefulness, the quality and diversity of a system, its enjoyment, consumer’s technology optimism and risk (surveillance anxiety and security/privacy risk) strongly affect the acceptance of smart speakers. Among these variables, enjoyment had the strongest effect on behavioral intention to use smart speakers.Originality/valueThis is the first study that incorporates netnography and SEM for investigating technology acceptance and applies it to the field of interactive smart devices.

An acceptance model for smart watches

2015 ◽  
Vol 25 (4) ◽  
pp. 527-541 ◽  
Author(s):  
Ki Joon Kim ◽  
Dong-Hee Shin
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Equation Modeling ◽  
Content Type ◽  
Psychological Determinants ◽  
Smart Watch ◽  
Acceptance Model

Purpose – The purpose of this paper is to identify the key psychological determinants of smart watch adoption (i.e. affective quality (AQ), relative advantage (RA), mobility (MB), availability (AV), subcultural appeal) and develops an extended technology acceptance model (TAM) that integrates the findings into the original TAM constructs. Design/methodology/approach – An online survey assessed the proposed psychological determinants of smart watch adoption. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were conducted on collected data (n=363) using the AMOS 22 statistical software. The reliability and validity of the measurement assessing the proposed factor structure were examined via CFA, while the strength and direction of the hypothesized causal paths among the constructs were analyzed via SEM. Findings – The AQ and RA of smart watches were found to be associated with perceived usefulness, while the sense of MB and AV induced by smart watches led to a greater perceived ease of the technology’s use. The results also indicated that the devices’ subcultural appeal and cost were notable antecedents of user attitude (AT) and intention to use, respectively. Originality/value – Though smart watches are becoming increasingly popular, empirical studies on user perceptions of and ATs toward – them remain preliminary. This paper is one of the first scholarly attempts at a systematic prediction of smart watch usage, with implications for the adoption of future wearable technology.

Understanding the emergence of wearable devices as next-generation tools for health communication

2016 ◽  
Vol 29 (4) ◽  
pp. 717-732 ◽  
Author(s):  
Eunil Park ◽  
Ki Joon Kim ◽  
Sang Jib Kwon
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Structural Model ◽  
Reliability And Validity ◽  
Wearable Devices ◽  
Motivational Factors ◽  
Equation Modeling ◽  
Adoption Process ◽  
Content Type

Purpose The purpose of this paper is to identify motivational factors for using wearable healthcare devices and examine the process by which these factors are integrated with the technology acceptance model (TAM) and contribute to the adoption of the devices. Design/methodology/approach An online survey assessed the proposed motivational factors for the adoption of wearable healthcare devices. Confirmatory factor analysis and structural equation modeling were conducted on collected data (n=877) to demonstrate the reliability and validity of the measurement and structural model. Findings Perceived control and interactivity of wearable healthcare devices as well as users’ innovative tendencies are positively associated with usage intention, while perceived cost has no significant effects on user intention to use the devices. The results also supported the explanatory strength and predictability of TAM. Originality/value Although the promising role of wearable devices in healthcare industries has gained much consumer attention, limited empirical investigations have been conducted on explicating how user attitude and usage intention are shaped regarding the devices. This study serves as one of the first attempts to empirically examine the adoption process, with implications for the future usage of wearable technology in the healthcare context.

scholarly journals The influence of acceptance and adoption drivers on smart home usage

2019 ◽  
Vol 53 (6) ◽  
pp. 1073-1098 ◽  
Author(s):  
Marco Hubert ◽  
Markus Blut ◽  
Christian Brock ◽  
Ruby Wenjiao Zhang ◽  
Vincent Koch ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Innovation Diffusion ◽  
Indirect Effects ◽  
Smart Home ◽  
Structural Equation ◽  
Online Survey ◽  
Perceived Usefulness ◽  
Risk Theory ◽  
Equation Modeling ◽  
Content Type

Purpose This study aims to develop a comprehensive adoption model that combines constructs from various theories and tests these theories against each other. The study combines a technology acceptance model, innovation diffusion theory and risk theory. It develops this model in a smart home applications context. Design/methodology/approach The study is based on an online survey consisting of 409 participants, and the data are analyzed using structural equation modeling. Findings Each theory provides unique insights into technology acceptance and numerous constructs are interrelated. Predictors from innovation diffusion and risk theory often display indirect effects through technology acceptance variables. The study identifies risk perception as a major inhibitor of use intention, mediated through perceived usefulness. Results reveal that the most important determinants of use intention are compatibility and usefulness of the application. Research limitations/implications Studies which do not examine different theories together may not be able to detect the indirect effects of some predictors and could falsely conclude that these predictors do no matter. The findings emphasize the crucial role of compatibility, perceived usefulness and various risk facets associated with smart homes. Originality/value This study broadens the understanding about the necessity of combining acceptance and adoption drivers from several theories to better understand the usage of complex technological systems such as smart home applications.

From owning to sharing: understanding the emergence of social sharing services

2017 ◽  
Vol 51 (2) ◽  
pp. 102-115 ◽  
Author(s):  
Heetae Kim ◽  
Kyu Ha Choi ◽  
Ki Joon Kim ◽  
Eunil Park
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Structural Model ◽  
Motivational Factors ◽  
Equation Modeling ◽  
Privacy Concern ◽  
Car Sharing ◽  
Content Type ◽  
Social Sharing

Purpose The purpose of this paper is to identify the motivational factors that help shape user perceptions of and attitudes toward car-sharing services and develop a research model that integrates these factors with the technology acceptance model to explicate car sharing’s adoption pattern. Design/methodology/approach An online survey was administered to examine the role of proposed motivational factors for the adoption of wearable healthcare devices. Confirmatory factor analysis and structural equation modeling were conducted on collected data (n=638) to demonstrate the reliability and validity of the measurement and structural model. Findings Perceived reliability, compatibility, and enjoyment of car-sharing services as well as users’ innovative tendencies are positively associated with usage intention. However, users’ privacy concern and perceived cost of using the services are found to have no significant effects on the adoption of the services. Originality/value While the recent advent of mobile communication devices and services has increased access to social sharing-based platform services such as car sharing, this study provides a research framework that helps to understand how various psychological factors contribute to the adoption of a social-sharing service.

Green brand communication, brand prominence and self–brand connection

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jialing (Catherine) Lin ◽  
Zhimin Zhou ◽  
Civilai Leckie
Keyword(s):  
Conceptual Model ◽  
Brand Loyalty ◽  
Structural Equation ◽  
Online Survey ◽  
Behavioral Outcomes ◽  
Past Research ◽  
Negative Information ◽  
Equation Modeling ◽  
Brand Attachment ◽  
Content Type

Purpose This study aims to empirically investigate how green transparency and green competence enhancement can promote consumer behavioral outcomes (i.e. green brand loyalty and resistance to negative information regarding green brands) through green brand attachment (i.e., self–green brand connection and green brand prominence). It further explores these hypothesized relationships across brands of physical products and services. Design/methodology/approach Data were collected using an online survey from 826 Chinese consumers. Structural equation modeling is used to test the proposed conceptual model. Findings Our results demonstrate that green transparency and green competence enhancement positively affect consumer green brand attachment (i.e. self–green brand connection and green brand prominence) which subsequently influence consumers’ loyalty toward green brands and their resistance to negative information. Finally, the development of green brand attachment across brands of products and services is found to be different. Research limitations/implications Extending the conceptual model to other cultural contexts is suggested. Using the experimental design to examine other boundary conditions is recommended. Practical implications This study provides recommendations for marketers, especially brand managers, to facilitate green brand communications to strengthen consumer–brand relationships. Originality/value This study extends past research by examining two types of green brand attachment via a cognitive schema lens. Also, it shows the internal cognitive process by which green brand communications potentially promote consumer behavioral outcomes through green brand attachment. Lastly, it highlights differences in the development of green brand loyalty and consumer resistance to negative information across brands of products and services.

Engaging leadership in the job demands-resources model

2015 ◽  
Vol 20 (5) ◽  
pp. 446-463 ◽  
Author(s):  
Wilmar B. Schaufeli
Keyword(s):  
Structural Equation ◽  
Work Performance ◽  
Online Survey ◽  
Job Demands ◽  
Well Being ◽  
Organizational Outcomes ◽  
Job Resources ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Content Type

Purpose – The purpose of this paper is to integrate leadership into the job demands-resources (JD-R) model. Based on self-determination theory, it was argued that engaging leaders who inspire, strengthen, and connect their followers would reduce employee’s levels of burnout and increase their levels of work engagement. Design/methodology/approach – An online survey was conducted among a representative sample of the Dutch workforce (n=1,213) and the research model was tested using structural equation modeling. Findings – It appeared that leadership only had an indirect effect on burnout and engagement – via job demands and job resources – but not a direct effect. Moreover, leadership also had a direct relationship with organizational outcomes such as employability, performance, and commitment. Research limitations/implications – The study used a cross-sectional design and all variables were based on self-reports. Hence, results should be replicated in a longitudinal study and using more objective measures (e.g. for work performance). Practical implications – Since engaged leaders, who inspire, strengthen, and connect their followers, provide a work context in which employees thrive, organizations are well advised to promote engaging leadership. Social implications – Leadership seems to be a crucial factor which has an indirect impact – via job demands and job resources – on employee well-being. Originality/value – The study demonstrates that engaging leadership can be integrated into the JD-R framework.

User experience sharing

2018 ◽  
Vol 52 (5/6) ◽  
pp. 1154-1184 ◽  
Author(s):  
Tom Chen ◽  
Judy Drennan ◽  
Lynda Andrews ◽  
Linda D. Hollebeek
Keyword(s):  
User Experience ◽  
Online Communities ◽  
Structural Equation ◽  
Online Survey ◽  
Mobile App ◽  
Equation Modeling ◽  
Content Type ◽  
Key Driver ◽  
The Relationship ◽  
Level Of Effort

PurposeThis paper aims to propose user experience sharing (UES) as a customer-based initiation of value co-creation pertaining to service provision, which represents customers’ level of effort made for the direct benefit of others in their service network. The authors propose and empirically examine a user experience sharing model (UESM) that explicates customer-to-customer (C2C) UES and its impacts on firm-desired customer-based outcomes in online communities.Design/methodology/ApproachBased on an extensive review, the authors conceptualize UES and UESM. By using online survey data collected from mobile app users in organic online communities, the authors performed structural equation modeling analyses by using AMOS 24.FindingsThe results support the proposed UESM, showing that C2C UES acts as a key driver of both firm-desired customer efforts and customer insights. The results also confirmed that service-dominant (S-D) logic-informed motivational drivers exert a significant impact on C2C UES. Importantly, C2C UES mediates the relationship between S-D logic-informed motivational drivers and firm-desired customer-based outcomes.Originality/valueThis study offers a pioneering attempt to develop an overarching concept, UES, which reflects customers’ initiation of value co-creation, and to empirically examine C2C UES. The empirical evidence supports the key contention that firms should proactively facilitate C2C UES.

Customers’ willingness of irresponsible industry 4.0 companies to co-create sustainable practices

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Manuela Escobar-Sierra ◽  
Alejandra García-Cardona ◽  
Fidel León-Darder
Keyword(s):  
Conceptual Model ◽  
Industry 4.0 ◽  
Structural Equation ◽  
Equation Modeling ◽  
Sustainable Practices ◽  
Content Type ◽  
Responsible Behavior ◽  
Technological Developments ◽  
Structural Equation Modeling Model ◽  
Method Approach

Purpose In this regard, this paper aims to wonder how willing to co-create sustainable practices customers of irresponsible Industry 4.0 (I4.0) companies are? With this purpose, the authors began introducing I4.0 and sustainability, showing their theoretical gaps. Design/methodology/approach I4.0 has recently spread with its technological developments and social, economic and political ambitions, facing challenges-related, for example, to the implementation of sustainable practices and the stakeholders’ participation. Findings Then the authors conduct a literature review following a sequential mix-method approach that begins with a bibliometric analysis and ends with a content study to propose a conceptual model for I4.0 and sustainability. Once the authors understood the theoretical gaps in the framework of the conceptual model, the authors conducted an empirical verification between clients of a Colombian company of the I4.0 belonging to the logistic sector, specifically of the deliveries, asking them about the labor issues that the company faces with delivery people and their willingness to co-create. The authors analyzed the collected data through a structural equation modeling model, where the authors found that customers’ willingness to co-create depends on intrinsic behaviors like “responsible behavior,” followed by extrinsic behaviors such as “helping.” Originality/value In fact, stakeholders may support companies, but customers must learn how to assume a critical posture during their purchase decision.

Higher education amid COVID-19 pandemic: contributions from resilience, positive orientation and grit

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Afsaneh Ghanizadeh
Keyword(s):  
Academic Achievement ◽  
University Students ◽  
Structural Equation ◽  
Online Survey ◽  
Self Regulation ◽  
Academic Resilience ◽  
Equation Modeling ◽  
Positive Orientation ◽  
Major Purpose ◽  
Content Type

PurposeThe major purpose of the present study is to investigate the contribution of academic resilience in accounting for two motivational and attitudinal constructs ? Grit and positive orientation and also probe the predictive power of all these constructs in academic achievement of university students in the midst of the pandemic COVID-19.Design/methodology/approach521 university students participated in an online survey. To measure academic resilience, a scale designed and validated by Kim and Kim (2016) comprising 26 items was employed. The scale contains five sub-factors: perceived happiness, empathy, sociability, persistence and self-regulation. Grit was assessed via an 8-item scale comprising two facets: perseverance of effort (PE) and consistency of interest (CI). It was designed by Duckworth and Gross (2014). Positive orientation was determined through positivity scale developed by Caprara et al. (2010), consisting of eight items.FindingsThe results of structural equation modeling (SEM) revealed that resilience positively and significantly predicted both grit (β = 0.56, t = 6.41) and positive orientation (β = 0.54, t = 6.35). Resilience also predicted academic achievement directly (β = 0.71, t = 9.12) and indirectly via its impact on grit and positive orientation. It was also found that positive orientation and grit are positively and highly associated (β = 0.77, t = 9.28).Originality/valueThe pandemic COVID-19 brought about substantial changes in university students' education and their overall life style. Many university students around the globe experienced virtual education. Balancing personal and academic roles in these unprecedented conditions seems to be a tough challenge for every university student.

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