How Perceived Quality Works in New Technology Adoption Process

2014 ◽  
Vol 22 (2) ◽  
pp. 23-47 ◽  
Author(s):  
Ji Yoon Kim ◽  
Xina Yuan ◽  
Sang Yong Kim ◽  
Young Joo Lee

This study attempts to explore the role of consumer's perception of quality within the new technology adoption process which is given little attention in the field of Information systems. In this regard, the authors developed an exploratory conceptual model in the level of consumer perception by exploring the antecedent of perceived quality. Three factors are introduced as determinants of perceived quality: perceived usefulness, perceived risk and trialability. Moreover, the authors investigate cross national differences among three countries including China, Korea and Japan by estimating our proposed model. An empirical study is conducted with analysis of the adoption mechanism for a new innovative product. Data analysis results support the authors proposed hypotheses, and significant differences are found among the three countries in regards to the new technology adoption process.

Author(s):  
Ji Yoon Kim ◽  
Xina Yuan ◽  
Sang Yong Kim ◽  
Young Joo Lee

This study attempts to explore the role of consumer's perception of quality within the new technology adoption process which is given little attention in the field of Information systems. In this regard, the authors developed an exploratory conceptual model in the level of consumer perception by exploring the antecedent of perceived quality. Three factors are introduced as determinants of perceived quality: perceived usefulness, perceived risk and trialability. Moreover, the authors investigate cross national differences among three countries including China, Korea and Japan by estimating our proposed model. An empirical study is conducted with analysis of the adoption mechanism for a new innovative product. Data analysis results support the authors proposed hypotheses, and significant differences are found among the three countries in regards to the new technology adoption process.


Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 402-409
Author(s):  
Deepak Shrivastava ◽  
Apurva Shrivastava ◽  
Gyan Prakash

Tech-friendliness in this new era is an important quotient considered and the persons’ acceptance towards the technology frequency matters a lot. But still the frequency varies from person to person, this brought in the concept of Technology Acceptance Model given by Fred Davis in 1989. The theory of TAM is based on two theories that are Theory of Reasoned Action and Theory of Planned Behavior, TAM is extended version of these two. Green Banking is a new technology introduced by the banks that focuses on the growth of Sustainable development and Banking system too. Thus, banks ask their customers to use it or practice it in their daily life transactions. But every customer has their own point of view on the usage of Green banking. Thus, the research aims to understand the customers’ perception towards the Green Banking for this TAM is used. The research states that Perceived risk is the primary factor that is followed by perceived usefulness and perceived ease of use that impacts the decision to use green banking. Thus, the behavioral intention results in actual use of green banking usage for which people are trying to accept the new technology. So, the banks have earned points for creating awareness among their customers but still they have to work hard and clarify their customers’ problems and vanish that hitch that is stopping them to use green banking easily.


Author(s):  
Muragesh Y. Pattanshetti ◽  
Sachin S. Kamble ◽  
Sudheer M. Dhume ◽  
Shradha Gawankar

Mobile phones have undeniably brought a paradigm shift, affecting both the lives of people and the business environment. Today, mobile phone has permeated the lives of billions of people around the world, becoming for many an indispensable device. Moreover, adoption of mobile banking has significant impact on reducing costs and enabling change in retail banking. Factors influencing the intention to use or adopt mobile banking are very important and will play a vital role for mobile banking service providers. The proposed study focuses on a comprehensive set of potential factors that influence the adoption of mobile banking. The research model identifies appropriate factors and captures dependency relationships among these factors in the form of a number of hypotheses to be tested in this research. This paper aims to design a scale with a high degree of reliability, validity, and dimensionality which helps to determine the appropriate technology adoption model based on the identified constructs, viz. Optimism (OPTI), Innovativeness (INNO), Insecurity (INSC), Discomfort (DISC), Perceived Usefulness (PU), Perceived Ease of Use (PEU), Perceived Risk (PR), Subjective Norms (SN), Attitude (ATTI), Behavioural Control (BC) and Behavioural Intention (BI). The data were collected through questionnaire survey from 201 respondents comprising software engineers, bank employees, professors, entrepreneurs. Confirmatory factor analysis was used to test the validity of the proposed measurement scale for all the identified constructs. This instrument helps bankers to determine and design there applications which will contribute to the knowledge of predicting customer intention.


2008 ◽  
Vol 46 (22) ◽  
pp. 6461-6478 ◽  
Author(s):  
H. Wagner ◽  
A. Dainty ◽  
R. Hague ◽  
C. Tuck ◽  
M. H. Ong

2018 ◽  
Vol 31 (2) ◽  
pp. 507-526 ◽  
Author(s):  
Visvanathan Naicker ◽  
Derrick Barry Van Der Merwe

Purpose The purpose of this paper is to examine the factors that influence the adoption of mobile technology by considering the information technology (IT) managers’ perception. The research identified the key challenges managers faced and whether management would adopt mobile technology or not. Design/methodology/approach A quantitative approach was used for this research, whereby an explanatory research was utilised. Questionnaires were developed and distributed to respondents who were in management and leadership positions and who were responsible for IT within their organisations. Demographic variables of age, gender differences, level of education, level of experience and culture were tested for association to the perceived factors and adoption. A χ2 of association was used to test the association between demographic variables and mobile technology adoption. Findings The results found that perceived ease of use, perceived usefulness, perceived complexity and perceived cost are important factors for adoption. However, perceived risk was a key factor in the adoption of mobile technology. Mobile strategy adoption must consider perceived risk factors central to the adoption. The younger generation (20 to 40) years found it easier to adopt technology than the older generation of 41 years and older. Individuals with a post matriculation level of education understood the importance of risk and cost required for adoption. Research limitations/implications Purposive sampling from a single industry (Life Insurance) was used. Limited literature was available regarding managers perception of mobile technology adoption in the Life Insurance industry. Practical implications The research offers managers insight into the important factors that need to be considered in adopting mobile technology. Originality/value With mobile technology being pervasive, the research seeks to provide managers with the insight in managing the adoption of the technology.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sourabh Kumar ◽  
Mukesh Kumar Barua

PurposeThis research identifies the supply chain performance indices and designs an evaluation framework to assess and compare the Indian petroleum supply chain performance. We presented a case study of three Indian petroleum companies. For this purpose, we identified fifteen performance criteria extracted from previous literature and expert inputs and classified them into four groups.Design/methodology/approachA fuzzy technique for order preference by similarity to the ideal solution (TOPSIS) method is employed for evaluating the performance of the Indian petroleum supply chain.FindingsThe design and evaluation framework suggests that the top three performance measurement criteria, the purity of the products, compliance with environmental laws, and new technology adoption. The result findings also indicate that company C contributes to a maximum satisfaction level of 77%. Simultaneously, companies A and B hold satisfaction levels of 72% and 67%.Practical implicationsThe managers should ensure that environmental standards, new technology adoption, and quality are significant concerns in the petroleum supply chain. The managers should follow national and international policies to preserve the environment and ensure safety in operational activities.Originality/valueThis paper makes two contributions in the domain of performance measurement of the petroleum supply chain. First, it identifies the prominent supply chain performance indices. Second, it proposes a model to assess and compare the performance of Indian petroleum companies.


Author(s):  
Sepideh Zahiri ◽  
Hatem El-Gohary ◽  
Javed Hussain

This article describes how although the internet has become a significant platform for the advancement of marketing strategies and developments, there have been inadequate empirical research efforts concerning its adoption for conducting internet marketing in developing countries, specifically in the Middle East area, and more particularly in Iran. Previous studies investigated internet marketing adoption and acceptance extensively, by employing different theories of new technology adoption in developed countries, while there have been inadequate empirical research efforts concerning its adoption in developing countries. It is widely recognised that the adoption of internet marketing can offer substantial opportunities for Small and Medium Sized Enterprises (SMEs). In developing countries, internet marketing opportunities can be a meaningful approach for SMEs to be able to compete with large businesses and to access, with lowest possible costs, targeted customers.


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