Ease of use and usefulness are believed to be fundamental in determining the acceptance and use of various, corporate ITs. These beliefs, however, may not explain the user’s behavior toward newly emerging ITs, such as the World-Wide-Web (WWW). In this study, we introduce playfulness as a new factor that reflects the user’s intrinsic belief in WWW acceptance. Using it as an intrinsic motivation factor, we extend and empirically validate the Technology Acceptance Model (TAM) for the WWW context. # 2001 Elsevier Science B.V. All rights reserved.

/pdf/beyond-the-usefulness-and-ease-of-use-extending-the-tam-for-2r69uxvmta.pdf

Beyond the Usefulness and Ease of Use : Extending the TAM for a World - Wide - Web Context

Blockchain is a promising breakthrough technology that is highly applicable in manifold sectors. The adoption of blockchain technology is accompanied by a range of issues and challenges that make its implementation complicated. To facilitate the successful implementation of blockchain technology, several blockchain adoption frameworks have been developed. However, selecting the appropriate framework based on the conformity of its features with the business sector may be challenging for decision-makers. This study aims to provide a systematic literature review to introduce the adoption frameworks that are most used to assess blockchain adoption and realize business sectors that these models have been applied. Thus, the blockchain adoption models in 56 articles are reviewed and the results of the studies are summarized by categorizing the articles into five main sections including supply chain, industries, financial sector, cryptocurrencies, and other articles (excluded from the former fields). The findings of the study show that the models based on the technology acceptance model (TAM), technology–organization–environment (TOE), and new conceptual frameworks were the focus of the majority of selected articles. Most of the articles have focused on blockchain adoption in different industry fields and supply chain areas.

/pdf/a-critical-review-of-blockchain-acceptance-models-blockchain-1kosetvo.pdf

A Critical Review of Blockchain Acceptance Models - Blockchain Technology Adoption Frameworks and Applications

This study investigates the variables affecting the adoption of blockchain technology (BT) among small and medium-sized enterprises (SMEs) with the application of artificial intelligence (AI) via the mediating lens of risk-taking behavior. As an initial sample, 150 owners/top managers from 150 SMEs (one informant from each) in Dhaka, Bangladesh, were chosen. A stratified random sample was employed for this cross-sectional study. Applying structural equation modeling, the combined influence of internal and external variables influencing the intention to adopt BT is explored. Results show that: (1) knowledge of artificial intelligence has a positive and significant effect on the adoption of blockchain technology; (2) the relevant advantage of artificial intelligence has a positive and significant effect on the adoption of blockchain technology; (3) perceived ease of use of artificial intelligence has a positive and significant effect on the adoption of blockchain technology; (4) risk-taking behavior mediates the relationship between knowledge of artificial intelligence and adoption of blockchain technology; (5) risk-taking behavior does not mediate the relationship between relevant advantage and perceived ease of use of artificial intelligence with the adoption of blockchain technology. The current study is one of the few empirical investigations relating to SMEs using artificial intelligence and blockchain technologies for business operations. The study’s limitations are the small sample size and use of a single informant. However, the findings on the adoption of blockchain technology have applications for boosting the competitiveness of SMEs. This study’s originality stems from two factors: the novelty of blockchain technology and its potential to upend SMEs’ conventional mode of operation. It highlights the need to consider the key variables affecting SMEs’ adoption of blockchain technology with artificial intelligence.

/pdf/artificial-intelligence-blockchain-technology-and-risk-54n9n2j9.pdf

Artificial Intelligence, Blockchain Technology, and Risk-Taking Behavior in the 4.0IR Metaverse Era: Evidence from Bangladesh-Based SMEs

Raising environmental awareness and product development are two separate and costly investments that many small and medium-sized fashion businesses cannot afford to achieve sustainability. Therefore, there is a need to determine which factors exert a more significant impact on consumer loyalty and purchase intention toward eco-friendly fashions. Thus, this study employs a mixed-methods approach with thematic analysis and the SEM-PLS technique to research how Vietnamese Gen Z’s perceptions of product-service quality, environmental awareness, and pro-environmental behavior influence their purchase intention and loyalty toward eco-friendly fashion products. Most interviewees acknowledged that they primarily gained knowledge about eco-friendly fashion through social media platforms. The qualitative results further showed that their knowledge of and attitudes toward eco-friendly fashion practices were insufficient to convince young customers to afford eco-friendly fashion products. The SEM-PLS results of 313 participants show that while customers’ perceived behavioral control plays a more significant role in stimulating purchase intention, only product-service quality factors impact loyalty. Hence, this study suggests that businesses should prioritize improving service and product quality rather than funding green marketing when targeting Vietnamese Gen Z in case of financial constraints. Government should prioritize financial and technological support for fashion firms to develop high-quality eco-friendly fashion to ensure the product availability.

/pdf/eco-friendly-fashion-among-generation-z-mixed-methods-study-sjw7jvka.pdf

Eco-friendly fashion among generation Z: Mixed-methods study on price value image, customer fulfillment, and pro-environmental behavior

A systematic meta-analysis of blockchain technology for educational sector and its advancements towards education 4.0

Increasing pollution, climate change and concern over the energy consumption in conventional apparel production methods has made the textile industry as a major pollution source. Empirical advancement in the field of sustainable apparel and customer behavioural intention are not sufficient enough to be presumed applicable in Indian market settings. This study intends to examine the application of the extended TPB model by additional constructs like collectivism cultural orientation, environmental concern and price sensitivity for anticipating green apparel purchase intension of educated millennial in India. Quantitative research followed with cross-sectional survey design was used to ascertain millennial behavioral intention towards eco-friendly apparels. Variance-based estimator, Partial Least Square (PLS) structural equation modelling was used to confirm the proposed structural relationship and Multi Group Analysis (MGA) was employed to test the moderating effect of price sensitivity. Study disseminates valuable insights to policymakers and marketers to formulate strategies and policies to attain sustainability in fashion. India being a collectivist nation the study suggests marketers to manage collectivistic national values in order to promote environment friendly apparel so as to educate customers about environmental issues and the benefit of using ecological friendly product.

Sustainable apparel purchase intention: collectivist cultural orientation and price sensitivity in extended TPB model

Blockchain technology with the potential to disrupt established business processes has emerged with a different student and institution-centric applications for higher education. This study aims to investigate educated individual beliefs and behavior toward blockchain adoption in higher education. The study proposes to extend Technology Adoption Model (TAM) with the inclusion of additional variables: perceived security and privacy and trust. Scale validated from the literature has been adopted for the study. Based on the survey of 208 respondents variance-based partial least square structural equation modeling was employed to examine the hypothesized relationship in the model. Findings of the study revealed that the factors incorporated in the model have a significant positive influence on individual adoption intention for blockchain in higher education. Perceived security and privacy has emerged as powerful factor affecting perceived usefulness, ease of use, and trust towards blockchain technology. Study respondents believe that they feel secured and confident with the blockchain implication in higher education.

Blockchain Adoption Intention in Higher Education: Role of Trust, Perceived Security and Privacy in Technology Adoption Model

Study empirically examines the interrelationship among service quality, customer satisfaction and behavioral intention for online apparel purchase. Service quality was measured through website design, reliability, responsiveness, trust & Personalisation. Revisit to website and recommendation to others are used to measure Behavioral intention. Study also examines the mediating role of satisfaction in service quality and Behavioral intention for 371 Indian online customers. The hypothesized relationships were tested through multiple regression and the mediating effect was analyzed through hierarchical regression. The findings of the study support that e-service quality is a predecessor of customer satisfaction and satisfaction performs a mediating role between service quality and Behavioral intention. Perceived service quality directly affects Behavioral intention, inferring that the impact of service quality on Behavioral intention is as essential as that of satisfaction. Findings of study will enable the online managers to remain more competitive in the industry, as it will help them to understand customer perception and expectation with online apparel shopping.

Analysing the effect of electronic service quality and satisfaction on apparel purchase propinquity decision

Circular economy is a global economic model that focuses to transform linear consumption in a circular system by minimizing waste and preserving the cost of materials. Refurbishment can be useful to recover value from old products and to minimize waste. Based on the insights from literature, a deductive research approach has been used to examine consumer understanding about refurbished smart phone and their purchase intention. A survey based on barriers, perceived risk, and benefits associated with refurbished phones was conducted. Multiple analyses of variance were employed to identify the effect of demographic parameters on refurbishing dimensions. Multiple regression was used to identify prominent predictors in determining purchase intention towards refurbished products. The study demonstrates a fine level of awareness among people about refurbished phone, and they link it to environmental benefits. A major concern among consumers was performance issue and financial risk involved in purchasing refurbished smart phones. Financial benefits are key aspects behind promoting refurbished.

Consumer Perception and Purchase Intention Towards Refurbished Smart Phones: A Circular Consumption Perspective

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Sustainable apparel purchase intention: collectivist cultural orientation and price sensitivity in extended TPB model

Blockchain Adoption Intention in Higher Education: Role of Trust, Perceived Security and Privacy in Technology Adoption Model

Analysing the effect of electronic service quality and satisfaction on apparel purchase propinquity decision

Consumer Perception and Purchase Intention Towards Refurbished Smart Phones: A Circular Consumption Perspective