Re-examining post-acceptance model of information systems continuance: A revised theoretical model using MASEM approach

Mishra, Anubhav; Shukla, Anuja; Rana, Nripendra P.; Currie, Wendy L.; Dwivedi, Yogesh K.

doi:10.1016/j.ijinfomgt.2022.102571

Cited by 63 publications

(54 citation statements)

References 103 publications

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“…In line with the recommendations by Mishra et al. (2023), the current study carried out the MASEM to test the proposed model.…”

Section: Methodsmentioning

confidence: 91%

“…In line with the recommendations by Mishra et al (2023), the current study carried out the MASEM to test the proposed model. The MASEM model is a complex causal model that goes beyond the traditional bivariate correlation outcomes of a meta-analysis to test the proposed model and the effect of the predictors on the outcome variables (Haus et al, 2013) A pooled correlation matrix was developed for constructs included in the study, which was subsequently analysed using the AMOS 27 application.…”

Section: Causal Model Estimationmentioning

confidence: 91%

“…Based on earlier recommendations, our study used the harmonic mean of each sample size as the overall sample size for the causal analysis. The model fit was estimated using the standard indices: normed fit index (NFI) ≥ 0.95, comparative fit index (CFI) ≥ 0.95, root mean square error of approximation (RMSEA) ≤ 0.08 and standardized root mean square residual (SRMR) ≤ 0.08 (Jak and Cheung, 2020; Mishra et al. , 2023).…”

Section: Methodsmentioning

confidence: 99%

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Virtual reality in retailing: a meta-analysis to determine the purchase and non-purchase behavioural intention of consumers

Mishra,

Dubey

et al. 2023

IMDS

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PurposeThe purpose of this meta-analysis is to encapsulate the outcomes and generate meaningful conclusions by examining the factors that influence consumers' purchase and non-purchase behaviour intention in a virtual reality retailing context.Design/methodology/approachThis study integrates the outcomes from 52 studies, including 403 relationships involving 19,188 samples. The analysis was conducted using R-metafor and AMOS software.FindingsThe findings indicate that key factors that influence purchase and non-purchase behavioural intentions are virtual reality (VR)characteristics, virtual reality experience and consumer attitudes. VR experience is the strongest predictor for purchase decisions in virtual environment ,while consumer attitude towards VR most strongly influences the non-purchase behaviour of the consumers. Furthermore, the age of the respondents, cultural backgrounds (high vs low power distance) and gender moderate the relationship between consumers' attitudes and purchase and behaviour intentions.Practical implicationsMarketers can positively influence consumer attitudes and behavioural intentions by prioritizing the design of the virtual environment and facilitating unique experiences (by manipulating different sensory stimuli) in virtual retailing.Originality/valueThe current meta-analysis reconciles and reinforces the findings in the extant literature and provides a robust empirical generalization of the critical factors that influence consumers' purchase or behavioural intentions in a virtual retailing context.

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“…In line with the recommendations by Mishra et al. (2023), the current study carried out the MASEM to test the proposed model.…”

Section: Methodsmentioning

confidence: 91%

Section: Causal Model Estimationmentioning

confidence: 91%

Section: Methodsmentioning

confidence: 99%

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Virtual reality in retailing: a meta-analysis to determine the purchase and non-purchase behavioural intention of consumers

Mishra,

Dubey

et al. 2023

IMDS

Self Cite

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“…Statistical data on forest and landscape (natural) fires over the past 15 years (2007-2022) on the territory of the region allow us to trace the following pattern: on average, about 45 fires are recorded during the forest fire period, on a total area of 572.8 ha, the maximum number of forest fires fall in August (an average long-term number is 9 forest fires) and September (an average number is 14 forest fires) [6][7].…”

Section: Model and Methodsmentioning

confidence: 99%

Ability to use available electronic resources for modeling the development of forest fires

Sushko

Ivanova²,

Kargashilov³

et al. 2023

E3S Web of Conf.

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The article discusses various types of monitoring of forest fires, studied and analyzed satellites that are used by the space monitoring system of the Ministry of Emergency Situations of Russia for remote sensing of the Earth. The statistical data of the Forestry Department on forest fires over the past 15 years in the territory of the Voronezh region are given. The dependence of the number of forest fires on meteorological conditions, in particular on the amount of precipitation, wind gusts and air temperature, was studied using the example of 2010 and 2020. The municipalities that are most prone to forest fires are identified. The monitoring systems of the forest fire situation on the territory of the Voronezh region, which are used in the crisis management center of the Main Directorate of the Ministry of Emergency Situations of Russia for the Voronezh region, are analyzed. The program "Forest Fires" has also been developed to predict the spread of forest fires based on the Methodology for assessing the consequences of forest fires, developed by the All-Russian Research Institute of Civil Defense and Emergency Situations in 1994 and put into effect by the order of the Ministry of Emergency Situations of Russia dated 14.04.1995. No. 194. A comparative analysis of the solution of the same problem with the same initial data in the developed program "Forest Fires" and in the risk analysis and management system (SAUR) of the automated information control system of the unified state system for the prevention and elimination of emergencies (AIUS RSChS) is presented.

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“…PU is an important indicator for technological products and services (Kim et al, 2019). Perceived usefulness is the degree to which a person believes that using a certain system will improve his or her work efficiency (Mishra et al, 2023).…”

Section: Perceived Usefulness (Pu)mentioning

confidence: 99%

Examining behavioural intention of using smart health care technology among females: dynamics of social influence and perceived usefulness

Gani

Rahman

Bag

et al. 2023

BIJ

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PurposeThe aim of this study is to comprehend the behavioural intention of females' perception toward smart healthcare technology. The study also examines the moderation effect of social influences between perceived smart healthcare technology and perceived usefulness among female users.Design/methodology/approachTo test the model, this study collected data from female respondents (n = 913) responses. The data were analyzed by structural equation modeling (SEM) using Smart-PLS 3.2. To complement the findings from structural equation modeling, the study also conducted a post-hoc test via experimental research design. The authors also applied a t-test and PROCESS macro analysis to re-confirm the relationship mentioned above.FindingsThe findings revealed that perceived ease of use significantly mediates the relationship between females' perceived smart healthcare technology and intention to use. The findings also show that social influence moderates between smart healthcare technology and the perceived usefulness relationship.Research limitations/implicationsSocial influence is one of the major issues while adopting smart healthcare technology because the respondents perceived that they are accustomed to the technologies related to smart health once their surroundings and social environment influence them.Originality/valueThe current study is a pioneer in the context of a developing country and unique in that it makes two contributions: it extends previous research on smart health technology adoption in the healthcare business by considering females, and it gives a broad knowledge of the female healthcare consumers from emerging nations which can be useful for developing technology-driven healthcare services strategies.

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Re-examining post-acceptance model of information systems continuance: A revised theoretical model using MASEM approach

Cited by 63 publications

References 103 publications

Virtual reality in retailing: a meta-analysis to determine the purchase and non-purchase behavioural intention of consumers

Virtual reality in retailing: a meta-analysis to determine the purchase and non-purchase behavioural intention of consumers

Ability to use available electronic resources for modeling the development of forest fires

Examining behavioural intention of using smart health care technology among females: dynamics of social influence and perceived usefulness

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