scholarly journals Bridging the Gap in the Technology Commercialization Process: Using a Three-Stage Technology–Product–Market Model

2019 ◽  
Vol 11 (22) ◽  
pp. 6267 ◽  
Author(s):  
Minseo Kim ◽  
Hyesu Park ◽  
Yeong-wha Sawng ◽  
Sun-young Park
Keyword(s):  
Technology Acceptance ◽  
New Technologies ◽  
Product Market ◽  
End Users ◽  
Structural Equations ◽  
Market Potential ◽  
Market Model ◽  
Technology Commercialization ◽  
Market Demand ◽  
Technology Product

This study proposes a new “three-stage technology–product–market” model to analyze the technology commercialization process. This model revises the technology acceptance model to more accurately consider the market potential of new technologies from a consumer perspective. This approach can be used to supplement developers’ own evaluations of technology. To test the model empirically, an online survey of 350 end users was conducted regarding their intention to purchase the “Wireless USB,” which uses “Zing” technology and was developed by the Electronics and Telecommunications Research Institute. The data was used to test the model using a structural equations approach. We indirectly confirmed the existence of gaps in the technology commercialization process by verifying the mediating effects of the productization stage. Results suggest that end users may not purchase a product, even if they perceive the technology to be innovative; the product purchase intention is significantly influenced by its perceived value. Therefore, developers must understand the concept of technology value for productization in order to refine a technology according to market demand.

scholarly journals Blockchain Technology for Winning Consumer Loyalty: Social Norm Analysis Using Structural Equation Modeling

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 532
Author(s):  
María de los Ángeles Pérez-Sánchez ◽  
Zhuowei Tian ◽  
Almudena Barrientos-Báez ◽  
José Gómez-Galán ◽  
Hanliang Li
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Social Exchange ◽  
Local Governments ◽  
Structural Equation ◽  
Social Norm ◽  
New Technologies ◽  
Equation Modeling ◽  
Consumer Loyalty ◽  
Blockchain Technology

Remarkable changes have taken in social operation mode and consumers’ behavior mode because of the foot ban during the pandemic spread of COVID-19. Digital technologies such as Blockchain have shown potential in gaining competitive advantages for enterprises in such situations. This study aims to provide an insight into how to gain consumer loyalty through the use of modern and efficient Blockchain technology. In contrast to the current literature, this study combined the technology acceptance model of planned behavior theory, social exchange theory to explain the loyalty of an online travel agency (OTA) consumer. A self-administered questionnaire was used to collect data from citizens in Hangzhou, a city full of technological innovation atmosphere. Using structural equation modeling with SmartPLS©, responses from 1403 citizens were analyzed. Social norm was discovered to have a positive and significant association with the consumers’ attitude toward technology and thus enhancing the perceived usability and hedonism of OTA application, which can increase consumer loyalty. The findings suggested OTAs may gain consumers’ loyalty through adopting Blockchain technology, and local governments have played a key role in creating such an environment. New technologies have become essential professional and social tools for society. The technological environment and Blockchain within the tourism sector are fundamental elements of China’s economic engine.

scholarly journals Cooperative Green Technology Innovation of an E-Commerce Sales Channel in a Two-Stage Supply Chain

2021 ◽  
Vol 13 (13) ◽  
pp. 7499
Author(s):  
Zongyu Mu ◽  
Yuangang Zheng ◽  
Hao Sun
Keyword(s):  
Supply Chain ◽  
Technology Innovation ◽  
Spillover Effect ◽  
Product Market ◽  
Free Riding ◽  
Green Technology ◽  
Market Demand ◽  
Two Stage ◽  
Sales Channel ◽  
Innovation Activities

The potential broad market of green consumption has encouraged an increasing number of enterprises to carry out green technology innovation activities. This paper examines a two-stage supply chain of e-commerce sales channels under different cooperative models. We find that consumers’ green preferences are the main factor that affects green product market demand. The manufacturer and the retailer can raise the levels of green technology innovation and extend green promotional services to expand product market demand in online and offline channels. However, consumers’ e-commerce preferences and online free-riding behaviors affect the manufacturer’s sales channel choice. The retailer can improve the level of green promotional services to hold offline channel market demand, while promotional behaviors have a positive/negative spillover effect on online market demand if the level of free riding falls above/below consumers’ e-commerce preferences. The higher the cooperative level is, the later the manufacturer will open the online channel and close the offline channel to ensure a high level of green promotional service from the cooperative retailer. The results show that the stronger the level of cooperation among all members is, the better the economic, ecological, and social benefits will be. Therefore, we design a revenue-cost sharing contract that can effectively motivate green technology innovation and green promotional services and afford all members win-win profits.

Big Data in Cultural Tourism – Building Sustainability and Enhancing Competitiveness

2021 ◽  
Keyword(s):  
Big Data ◽  
Case Studies ◽  
Value Chain ◽  
New Technologies ◽  
Cultural Tourism ◽  
End Users ◽  
Ethical Implications ◽  
Tourism Sector ◽  
Cultural Experiences ◽  
Selection Of

The use of big data is becoming increasingly important across the tourism sector and the value chain. With this publication, UNWTO intends to provide a baseline research on using big data by tourism and culture stakeholders, in order to improve the competitiveness of cultural tourism and reinforce its sustainability. The study sets the basis to connect tourism, culture and new technologies for mutual benefits, while calling for a reflection on the ethical implications for policymakers, businesses and end-users. The selection of case studies illustrates the most frequent case-scenarios of the use of big data in cultural tourism within destinations, compiled during the research. As the new technologies are facing ever-evolving scenarios, their use will be harnessed by the tourism sector in its endeavour to innovate and provide new cultural experiences.

scholarly journals How customers’ offline experience affects the adoption of online banking

2016 ◽  
Vol 26 (5) ◽  
pp. 1072-1092 ◽  
Author(s):  
Antonia Estrella-Ramon ◽  
Manuel Sánchez-Pérez ◽  
Gilbert Swinnen
Keyword(s):  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Financial Services ◽  
New Technologies ◽  
Online Banking ◽  
Adoption Process ◽  
Content Type ◽  
Parametric Survival Model ◽  
Self Service Technology ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of customers’ offline transaction behaviour in the form of loyalty and cross-buying on the adoption of self-service technology innovations by non-business customers in the context of online banking. Design/methodology/approach This study extends the Diffusion of Innovation Theory, as well as the Technology Acceptance Model adapted to describe and model individual customer observed behaviours in the pre-adoption stage of the adoption process. The Log-logistic parametric survival model is applied using panel data for 1,357 randomly selected new customers from a bank. Findings Significant differences arise among customers’ behaviours related to periodicity of interactions with the bank and quantity of products involved in the interactions, as well as convenience and risk of the interactions. The results corroborate that those customers who are more likely to adopt the online banking faster show an offline behavioural pattern more related to higher periodicity of interactions and convenience, rather than a high number of products involved in their interactions, the use of high-risk products or the maintenance of a higher average monthly liabilities. Originality/value While previous research explaining the process of adoption of the online channel has mainly focused on the analysis of customers’ attitudes (i.e. customers’ perceptions) and demographics, in this research an additional explanation is proposed using customers’ offline transaction behaviours. In addition, there is a considerable amount of research about the adoption of new technologies, but there is a scarcity of studies looking specifically at the financial services and banking industry.

scholarly journals Key Factors for In-Store Smartphone Use in an Omnichannel Experience: Millennials vs. Nonmillennials

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Ana Mosquera ◽  
Emma Juaneda-Ayensa ◽  
Cristina Olarte-Pascual ◽  
Jorge Pelegrín-Borondo
Keyword(s):  
Behavioral Intention ◽  
New Technologies ◽  
Structural Equations ◽  
Actual Behavior ◽  
Key Factors ◽  
Early Adopters ◽  
Brick And Mortar ◽  
Smartphone Use ◽  
Use Behavior ◽  
Behavioral Intention To Use

The in-store use of smartphones is revolutionizing the customer journey and has the potential to become an important driver in the omnichannel context. This paper aims at identifying the key factors that influence customers’ intentions to use smartphones in-store and their actual behavior and to test the moderating effect of age, differentiating between millennials and nonmillennials, as millennials are considered digital natives and early adopters of new technologies. We applied the UTAUT2 model to a sample of 1043 Spanish customers, tested it using structural equations, and performed a multigroup analysis to compare the results between the two groups. The results show that the model explains both the behavioral intention to use a smartphone in a brick-and-mortar store and use behavior. The UTAUT2 predictors found to be most important were habit, performance expectancy, and hedonic motivation. However, the study shows that the only difference between millennials and nonmillennials with regard to the use of smartphones in-store is the effects of behavioral intention and habit on use behavior. The study adds to the existing knowledge by providing evidence in support of the validity of UTAUT2 as an appropriate theoretical basis to explain effectively behavioral intention, specifically the in-store use of smartphones.

scholarly journals Critical factors that impact purchase online of new telecom convergent services in the Mexican market

2017 ◽  
Vol 7 (14) ◽  
Author(s):  
Rolando Zubirán Shetler ◽  
Jesús Fabian López Pérez
Keyword(s):  
Electronic Commerce ◽  
Technology Acceptance ◽  
Latent Variables ◽  
Diffusion Of Innovations ◽  
Structural Equation ◽  
Empirical Studies ◽  
The United States ◽  
Structural Equations ◽  
Equation Modeling ◽  
Critical Factors

Key words: Diffusion of innovations, electronic commerce, structural equations, Smart-PLS, technology acceptanceAbstract. The following article analyzes the principal factors that have an impact in the adoption of new telecom convergent services, through electronic commerce, that have been explored and studied primarily in developed markets such as the United States and that have been deemed as critical factors in the development and growth of online electronic transactions. Specifically, factors and latent variables of this study derive from the models of Technology Acceptance (Davis, 1989) and Diffusion of Innovations (Rogers, 2003). A summary of past empirical studies is provided deriving from the aforementioned theoretical models followed by results of an exploratory field study comprising of 253 valid observations randomly selected from within the population of urban internet users in Mexico. The methodology used to determine the causal relationship between variables (Betas) was factor analysis (Principal Components) and structural equation modeling, specifically Smart-PLS. The study determined that perceived utility and trust variables are statistically relevant and significant in determining purchase online of new telecom convergent services and the development of electronic commerce in the Mexican Market.Palabras clave: Aceptación de la tecnología, comercio electrónico, difusión de las innovaciones, ecuaciones estructurales, Smart-PLS.Resumen. Este artículo analiza los principales factores que influyen en la adopción de los nuevos servicios convergentes de telecomunicaciones, a traves del comercio electrónico, que han sido explorados y estudiados principalmente en mercados desarrollados como el de Estados Unidos y que han sido confirmados como factores críticos en el desarrollo y el crecimiento de las transacciones electrónicas en linea. Específicamente, los factores y variables latentes en este estudio se derivan de los modelos de Aceptación de la Tecnología (Davis, 1989) y la Difusión de las Innovaciones (Rogers, 2003). Se presenta un resumen de los antecedentes de estudios empíricos derivados de los mencionados modelos teóricos, seguido de los resultados de un estudio exploratorio de campo que comprende 253 observaciones válidas seleccionadas en forma aleatoria dentro de la población de usuarios urbanos de Internet en México. La metodología utilizada para determinar las relaciones causales entre las variables (Betas) fue análisis factorial (Componentes Principales) y el modelo de ecuaciones estructurales, específicamente Smart-PLS. El estudio determina que las variables percepción de utilidad y confianza son estadísticamente relevantes y significativas en la determinación de compra en línea de nuevos servicios convergentes de telecomunicaciones y en el desarrollo del comercio electrónico en el Mercado Mexicano.

scholarly journals Investigation of moderator factors in e-business adoption: A quantitative meta-analysis of moderating effects on the drivers of intention and behavior

2017 ◽  
Vol 14 (1) ◽  
pp. 75-102 ◽  
Author(s):  
Bostjan Sumak ◽  
Marjan Hericko ◽  
Zoran Budimac ◽  
Maja Pusnik
Keyword(s):  
Technology Acceptance ◽  
New Technologies ◽  
Causal Effect ◽  
Meta Analysis ◽  
Moderating Effect ◽  
Factors Affecting ◽  
Adoption Research ◽  
Acceptance Model ◽  
Almost All ◽  
Business Technology

E-business technology is becoming one of the most important global markets where e-business solutions will have to adapt to new technologies. The main objective in this study was to synthesize existing knowledge in the field of e-business technology acceptance and to understand differences in Technology Acceptance Model (TAM) related causal effect sizes for different e-business contexts. A quantitative meta-analysis of existing empirical research about factors affecting e-business adoption was conducted using 89 published papers that provided empirical data about causal relationships. A moderator analysis was carried out to investigate the moderating effect of four factors: consumer type, device type, continent and respondent type. The results of the study showed a moderating effect for all four proposed factors in almost all TAM-related causal paths. The study also showed that TAM is the most common theory being applied in e-business adoption research.

scholarly journals Calidad del servicio percibida por clientes de entidades bancarias de Castilla y León y su repercusión en la satisfacción y lealtad a la misma

2008 ◽  
pp. 105
Author(s):  
José Ángel Miguel Dávila ◽  
Marcela Flórez Romero
Keyword(s):  
Service Quality ◽  
New Technologies ◽  
Great Influence ◽  
Physical Structure ◽  
Structural Equations ◽  
Key Factors ◽  
Castilla Y Leon ◽  
Nuevas Tecnologías ◽  
Main Components ◽  
Structural Equations Model

El propósito de la investigación está enmarcado en el estudio de la calidad del servicio que prestan las entidades bancarias. El objetivo de la investigación ha sido el de identificar los factores que determinan la calidad del servicio que perciben los clientes de las entidades bancarias de Castilla y León, y de cómo la calidad influye en su satisfacción. Así mismo, se trata también de identificar cómo la satisfacción de los clientes por el servicio prestado afecta a su lealtad hacia la entidad.<br />Mediante un análisis factorial de componentes principales, se encontraron los factores que influyen en la calidad: i) aspectos físicos (estructura física, ubicación conveniente, equipamiento moderno, vigilancia, aspecto limpio, etc.); ii) aspectos de la prestación del servicio (operaciones y servicios convencionales que realiza y ofrece la entidad, confianza y conocimiento que transmite el personal, atención personalizada, tiempos de respuesta, reputación de la entidad); y iii) nuevas tecnologías (cajeros, Internet o banca telefónica). Posteriormente, los resultados del modelo de ecuaciones estructurales, muestran una gran influencia de los aspectos de la prestación del servicio en la calidad del servicio, así como la demostración de la calidad como antecedente de la satisfacción y la influencia que ejerce la calidad en la satisfacción y ésta en la lealtad del cliente a la entidad bancaria.<br /><br />The aim of this paper is to analyze the quality of the services offered by banking entities. The objective of the research has been to identify the key factors determining the service quality as perceived by the clients of banking entities in Castilla y León; it is important to note the way in which quality influences the customers' satisfaction. Others goals of the research focus on how the clients' satisfaction on the perceived service affects their loyalty to the entity.<br />Through a factor analysis of the main components, the key features influencing quality were found: i) physical aspects (physical structure, conveniente location, modern equipment, etc.), ii) aspects of service's performance (conventional operations and services which the bank offers and performs, personalized service, reputation of the entity, etc.), and iii) new technologies (cash dispenser, internet or phone banking). Afterwards, the results of the structural equations model indicate a great influence of the aspects of service's performance in the service quality. They also demonstrate that quality appears as an antecedent of satisfaction and that there is an influence of quality in satisfaction and of satisfaction in the loyalty of the customer to the banking entity.<br />

scholarly journals Intelligent Edge-based Recommender System for Internet of Energy Applications

2021 ◽  
Author(s):  
Aya Nabeel Sayed ◽  
Faycal Bensaali ◽  
Yassine Himeur
Keyword(s):  
Energy Saving ◽  
Recommender System ◽  
Energy Demand ◽  
Privacy Preservation ◽  
Energy Savings ◽  
New Technologies ◽  
End Users ◽  
Environmental Data ◽  
Residential Areas ◽  
Increase Energy Efficiency

When investigating how people conserve energy, most researchers and decision-makers render a conceptual distinction between prevention (e.g. unplugging devices) and productivity measures. Nevertheless, such a two-dimensional approach is inefficient from both a conceptual and policy standpoint, since it ignores individual differences that influence energy-saving behavior. Preserving electricity in homes and buildings is a big concern, owing to a scarcity of energy resources and the escalation of current environmental issues. Furthermore, the COVID-19 social distancing policies have resulted in a temporary transition of energy demand from industrial and urban centers to residential areas, resulting in greater consumption and higher costs. In order to promote the sustainability and preservation of resources, the use of new technologies to increase energy efficiency in homes or buildings becomes increasingly necessary. Hence, the goal of the project is to provide consumers with evidence-based data on the costs and advantages of ICT-enabled energy conservation approaches, as well as clear, timely, and engaging information and assistance on how to realize the energy savings that are attainable, in order to boost user uptake and effectiveness of such techniques. End-users can visualize their consumption patterns as well as ambient environmental data using the Home-assistant user interface. More notably, explainable energy-saving recommendations are delivered to end-users in form of notifications via the mobile application to facilitate habit change. In this context, to the best of the authors’ knowledge, this is the first attempt for developing and implementing an energy-saving recommender system on edge devices. Thus, ensuring better privacy preservation since data are processed locally on the edge, without the need to transmit them to remote servers, as is the case with cloudlet platforms.

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