Exploring Factors Affecting Consumers’ Intention to Use Smartwatch in Bangladesh : An Empirical Study

Sabbir, Md. Mahiuddin; Akter, Sharmin; Khan, Tahsin Tabish; Das, Amit

doi:10.14329/apjis.2020.30.3.636

Cited by 6 publications

(6 citation statements)

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“…Engaging a purposive sampling method (Khan et al. , 2019), respondents for Study 1 were recruited from students attending the undergraduate and the graduate program at the University of Dhaka, the University of Rajshahi and the University of Chittagong (Sabbir et al. , 2020a, b).…”

Section: Methodsmentioning

confidence: 99%

Understanding the determinants of consumers' reverse exchange intention as an approach to e-waste recycling: a developing country perspective

Sabbir

Khan

Das

et al. 2022

APJBA

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PurposeEnd-of-life electronic products exchange (EEPE) program could be an effective approach to e-waste recycling that requires consumers' participation. Thus, it is highly recommended to study factors stirring consumer behavior with regard to EEPE programs, which is largely under-explored in the existing literature. Hence, grounding on the Theory of Planned Behavior (TPB) and Attitude-Behavior-Context (A-B-C) model, this study attempts to understand the determinants of consumers' EEPE intention by adding contextual and non-cognitive factors to the proposed research model.Design/methodology/approachEmploying a purposive sampling technique, respondents were drawn from university students and general consumers of electronic products in a developing country. Factor analysis, structural equation modeling (SEM) and SPSS PROCESS were used to analyze the collected data.FindingsEmpirical results confirm that subjective norm has the strongest positive impact on EEPE intention. Following this, attitude toward EEPE and perceived behavioral control play positive mediating roles in determining EEPE intention. Moreover, government initiatives moderate the unsolicited “attitude–intention gap”.Practical implicationsDrawing on this study's outcomes, the study urges to form comprehensive awareness-building campaigns, rules and regulations regarding proper e-waste management, promote “exchange offer” programs and educational programs to encourage EEPE.Originality/valueThis study makes two fresh contributions to the extant literature. First, by coupling the TPB and A-B-C theory, this study showed that both attitude (i.e. attitude toward EEPE) and context (i.e. government initiatives) are essential in eliciting individual-level post-consumption pro-environmental behavior (PEB) (i.e. EEPE). Second, government initiatives elucidate the attitude–intention gap in the reverse logistics context, especially in developing countries.

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Section: Methodsmentioning

confidence: 99%

Understanding the determinants of consumers' reverse exchange intention as an approach to e-waste recycling: a developing country perspective

Sabbir

Khan

Das

et al. 2022

APJBA

Self Cite

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“…In line with this, the current study considered the variables of TAM (e.g., perceived usefulness and perceived ease of use) and two relevant variables, perceived informativeness and perceived enjoyment, with trust as a moderator to understand the determinants influencing attitudes towards adopting ChatGPT by university students. Therefore, the utilisation of TAM to explain users' technology adoption behaviour is well established (Sabbir et al, 2020;Yang et al, 2023). Yet, research gaps exist in explaining users' (e.g., students) technology adoption behaviour as such behaviours vary with new technologies.…”

Section: Theoretical Framework and Hypothesis Developmentmentioning

confidence: 99%

“…T. Teo (2009) found that perceived enjoyment plays an influential role in the desire to use the Internet for activities like surfing, texting and even downloading any online content. Accordingly, the impact of perceived enjoyment on users' attitudes has been demonstrated in several studies, especially in technology adoption contexts (Jeon et al, 2021;Sabbir et al, 2020). In particular, for Internet users who want to get services online, their attitudes are affected notably by perceived enjoyment (H. P. Lu & Su, 2009).…”

Section: Perceived Enjoymentmentioning

confidence: 99%

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Examining students’ intention to use ChatGPT: Does trust matter?

Rahman,

Sabbir,

Zhang

et al. 2023

AJET

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Little knowledge is available on students’ attitudes and behavioural intentions towards using ChatGPT, a breakthrough innovation in recent times. This study bridges this gap by adding two relevant less-explored constructs (i.e., perceived enjoyment and perceived informativeness) to the technology acceptance model and illustrating the moderating effect of trust on the acceptance of ChatGPT. Data was collected from 344 private and public university students from Bangladesh, with the analysis done through structural equation modelling. The results highlight the significance of perceived usefulness, perceived ease of use and perceived informativeness in understanding students’ attitudes towards using ChatGPT for learning, which subsequently predicts their behavioural intention to use it. Interestingly, students’ level of enjoyment was triggered once the trust issue came into play, meaning perceived enjoyment had no substantial impact on attitude unless trust moderates the relationship between perceived enjoyment and attitude towards using ChatGPT. Implications for practice or policy Scholars can get first-hand insights into perceived enjoyment and perceived informativeness with perceived usefulness and perceived ease of use in the context of ChatGPT and education. Practitioners and educators can comprehensively understand the antecedents affecting students’ attitudes in line with their behavioural intention towards ChatGPT. Policymakers can design viable strategies to promote the ethical and sustainable usage of ChatGPT in education.

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“…There is a 1959 definition of "machine learning" which states that this discipline studies how computers may learn on their own without being explicitly programmed. An important element of machine learning is that it doesn't obey pre-programmed "rules," even if this description is a little ambiguous PAGE 793 [30]. Automated data analysis, pattern recognition, and learning from data are all part of the generic definition of "machine learning," which encompasses a variety of techniques.…”

Section: Machine Learning In Artificial Intelligence (Ai)mentioning

confidence: 99%

Amazon's Artificial Intelligence in Retail Novelty - Case Study

Manasa

Devi

2022

IJCSBE

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Purpose: The provision of a method for thoughtful decision-making is the core purpose of artificial intelligence research and development. The primary goal of artificial intelligence (AI) is to give computers the ability to do intellectual tasks such as making decisions, solving problems, seeing their surroundings, and understanding human communication. Amazon is famous for using robots—roughly 30,000 of them—within its distribution centres. The company has gained mechanical autonomous organisation, which allows the robots to function independently. Kiva in 2012. Retailers can improve their demand estimates, make better pricing decisions, and optimise product placement with the aid of AI. The end result is that customers are connected with the proper products at the suitable time, in the appropriate place, and at the appropriate price. Utilizing predictive analytics may assist in determining the amount of a product that should be ordered to ensure that shops do not end up with either an excess or a shortage of inventory. Design/Methodology/Approach: The efficiency of our workplaces may be substantially improved by the use of artificial intelligence. When AI is utilised to do tasks that are boring or dangerous, human workers are given more time to concentrate on endeavours that need capabilities such as creativity and empathy, amongst other abilities. Artificial intelligence (AI) may be of assistance to a corporation in three different areas: the automation of corporate processes; the acquisition of insight through data analysis; and the interaction with consumers and staff. Findings/Result: As a result of AI, individuals will be freed up to focus on the 20% of non-routine jobs that account for 80% of the value they create. In the future, "intelligent automation of process change" (IAPC) will be used by smart machines to constantly examine and improve the whole process of a business's response to artificial intelligence. Automated and optimised everyday chores save your time and money and improves operational efficiency and productivity. The outputs of cognitive technology may help you make quicker business judgments and benefits the AI in the Workplace. Doing the same thing over and over again might take a toll on your workers' productivity. Automating and optimising these procedures will save you money. Employees will be able to concentrate on multiple areas at once, resulting in increased production. As AI processes data more quickly than humans, this leads to increased productivity. Originality/Value: It is essential to have a deeper comprehension of the differences between AI and human intelligence if we are to be adequately prepared for a society in which AI will play a much more pervasive role in our everyday lives in the foreseeable future. The process of reproduction is intricately connected to both biological and human intelligence. The advancement of artificial intelligence (AI) is significant for the reason that it paves the way for software to perform human activities and cost-effective than it was previously possible. Paper Type: Company Analysis.

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Exploring Factors Affecting Consumers’ Intention to Use Smartwatch in Bangladesh : An Empirical Study

Cited by 6 publications

References 0 publications

Understanding the determinants of consumers' reverse exchange intention as an approach to e-waste recycling: a developing country perspective

Understanding the determinants of consumers' reverse exchange intention as an approach to e-waste recycling: a developing country perspective

Examining students’ intention to use ChatGPT: Does trust matter?

Amazon's Artificial Intelligence in Retail Novelty - Case Study

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