Innovation adoption across self-service banking technologies in India

2015 ◽  
Vol 33 (2) ◽  
pp. 96-121 ◽  
Author(s):  
Arun Kumar Kaushik ◽  
Zillur Rahman
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Banking Industry ◽  
Content Type ◽  
Descriptive Research ◽  
Effective Implementation ◽  
Self Service ◽  
Acceptance Model ◽  
Survey Approach ◽  
Practical Implications

Purpose – The purpose of this paper is to analyze the various antecedent beliefs predicting customers’ attitudes toward, and adoption of, self-service technologies (SSTs) available in the banking industry. Design/methodology/approach – A descriptive research design with survey approach is used to develop and test a conceptual model of adoption for all three self-service banking technologies (SSBTs). Findings – The results of the comparative analysis showed that antecedent beliefs affecting adopters’ attitude vary across different SSBTs. It extends and tests the technology acceptance model (TAM) by including two additional antecedents from the theories of adoption behavior. Research limitations/implications – All three SSBTs included in the paper are from the banking industry, which limits the generalizability of the findings to other industries. Many other limitations were also reported. Practical implications – The findings reveal why and how customers decide to adopt different SSBTs and why a few SSBTs are more widely accepted than others. The practicality of the findings guides managers and designers of technological interfaces. Social implications – People will also benefit from the effective implementation of SSTs. Originality/value – This study stands out as one of the early studies to empirically examine the antecedents-attitude-intention relationship across different SSBTs available in Indian banking industry.

Antecedents to consumers’ showrooming behaviour: an integrated TAM-TPB framework

2018 ◽  
Vol 35 (4) ◽  
pp. 438-450 ◽  
Author(s):  
Sourabh Arora ◽  
Sangeeta Sahney
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Content Type ◽  
Selective Sampling ◽  
Product Choices ◽  
Initial Move ◽  
Acceptance Model ◽  
The Relationship ◽  
Practical Implications

Purpose The purpose of this study is to propose an integrated framework utilizing the theory of planned behaviour (TPB) and technology acceptance model (TAM) to augment the understanding on consumers’ showrooming behaviour. Design/methodology/approach Selective sampling was used for data collection. The integrated TAM-TPB framework led to 12 propositions, which were tested using partial least squares-structural equation modelling. Findings Both perceived relative search benefits offline and relative purchase benefits online significantly determined the consumers’ showrooming behaviour along with perceived ease purchasing online and the overall usefulness of the showrooming sequence. Results of the study revealed that the showrooming sequence helped consumers avoid the regret of making suboptimal product choices and paying a higher price for the same product. Online trust was found to partially mediate the relationship between consumers’ intention to showrooming and the actual showrooming behaviour. Research limitations/implications Notwithstanding the fact that further research is required to arrive at definitive conclusions, this study is an initial move towards understanding the consumers’ showrooming behaviour, and the research provides meaningful insights. Practical implications As showrooming substantially erodes profits, devising strategies to defend showrooming customers becomes crucial. The findings of the study provide the basis for formulating strategies to counter showrooming customers. Originality/value The paper is amongst the first studies which helps enhance the understanding of consumers’ showrooming behaviour, which is an emerging area in the present multi-channel retailing environment.

scholarly journals Ethical expectations and ethnocentric thinking: exploring the adequacy of technology acceptance model for millennial consumers on multisided platforms

2020 ◽  
Vol 36 (4) ◽  
pp. 465-489
Author(s):  
Som Sekhar Bhattacharyya ◽  
Surabhi Verma ◽  
Gayathri Sampath
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Design Methodology ◽  
Ethical Considerations ◽  
Content Type ◽  
Doing Business ◽  
Equation Modelling ◽  
Study Results ◽  
Acceptance Model ◽  
Practical Implications

Purpose Multisided platforms (MSPs) have become omnipresent. Millennial consumers have taken well to MSPs. It has become imperative to explicate the process of adoption of MSPs by millennials. The purpose of this study is to comprehend the factors that lead to the adoption of MSPs by millennials beyond the factors identified in the technology acceptance model (TAM). Design/methodology/approach Data was collected from 252 respondents through a structured survey questionnaire to comprehend MSP adoption. Partial least squares structured equation modelling was applied for analysis. Findings The theoretical lens of TAM was applied for the study. Results indicated that over and above TAM, millennials’ intention to use of MSPs was moderated by ethical expectations, as well as ethnocentric thinking. The study, thus, extended TAM theoretical conversation by including factors of consumer ethnocentric behaviour and customer ethical considerations. Research limitations/implications This study modifies the TAM factors theoretically by including two new factors, namely, customers’ ethical expectations and ethnocentric thinking. Practical implications This study results would help MSP firm managers comprehend the importance of consideration of consumer ethnocentric behaviour and customer ethical considerations. Thus, managers have to include in their MSPs’ aspects of customers’ ethical expectations and ethnocentric thinking while marketing their MSPs’ while doing business with millennials. Originality/value This was one of the first studies that extended TAM by adding the factors of ethical expectations and ethnocentric thinking in the context of MSP adoption for millennial customers.

An alternative model of self-service retail technology adoption

2015 ◽  
Vol 29 (5) ◽  
pp. 406-420 ◽  
Author(s):  
Arun Kumar Kaushik ◽  
Zillur Rahman
Keyword(s):  
Technology Acceptance ◽  
Primary Data ◽  
Future Research ◽  
Consumer Adoption ◽  
Content Type ◽  
Intention To Adopt ◽  
Self Service ◽  
Acceptance Model ◽  
The Impact ◽  
Practical Implications

Purpose – This study aims to extend and revise the basic technology acceptance model (TAM) by analyzing the impact of trust and subjective norm (SN) on consumers’ attitude and behavioral intention toward adopting self-service technologies (SSTs) in offline retail environments. Design/methodology/approach – Primary data were collected through field and online surveys, resulting in 651 usable responses. Hypotheses involving all variables of extended TAM, and their mutual relationships, are examined in this study of offline consumer adoption behavior. Findings – The findings reveal that trust significantly affects both consumers’ attitudes and their behavioral intentions, while SN also affects intention to adopt. It is recommended that future researchers use a more comprehensive version of TAM and consider trust and SN when analyzing offline consumer adoption behavior. Research limitations/implications – All the SSTs included in this paper belong to the retail industry, which limit the generalizability of the findings to other industries. Many other limitations are also discussed. Practical implications – The practicality of our findings guides managers and designers of technological interfaces. Furthermore, the practical implications are discussed and directions for future research are also provided. Social implications – This study recommends the usage of numerous SSTs in organized retail stores. The society will also benefit from the effective implementation of such SSTs. Originality/value – Trust and SNs have been incorporated as two additional variables to analyze offline adoption behavior of retail customers. This has not been done before, as most studies have focused on adoption behavior of customers in online environments.

I want to learn more! Integrating technology acceptance and task–technology fit models for predicting behavioural and future learning intentions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alessandro Lo Presti ◽  
Assunta De Rosa ◽  
Enrico Viceconte
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Moderated Mediation Model ◽  
Task Technology Fit ◽  
Acceptance Model ◽  
Training Opportunities ◽  
Future Learning

Purpose Constant and frequent technological changes within organizations call for further scholarly attention, as behavioural intentions need to be coupled also with future learning intentions to predict the present and prospective individual adaptations and performance. This study, grounded on the technology acceptance model, aims to examine the association between training opportunities and behavioural and future learning intentions also taking into account the role of task–technology fit as a moderator. Design/methodology/approach A survey was carried out within a single organization in the water processing sector on a sample of 200 workers who recently experienced a technological change through the adoption of System Application and Product in data processing. A moderated–mediation model was estimated through regression analyses with bootstrapping. Findings The results were consistent with study hypotheses. In particular, task–technology fit amplified the positive association between perceived ease of use and training opportunities as well as the indirect effect of this latter on both behavioural and future learning intentions through perceived ease of use and perceived usefulness. In sum, the hypothesized moderated–mediation model was confirmed. Originality/value Three novelty factors of this study can be stressed: it is among the few studies carried out on Italian workers in the realm of technology adoption, it expanded the technology acceptance model by including traditional behavioural intentions and future learning intentions as outcome variables and it integrated the task–technology fit perspective within the technology acceptance model.

A new technology acceptance model: a mixed-method of grounded theory and system dynamics

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahdi Bastan ◽  
Masoumeh Zarei ◽  
Reza Tavakkoli-Moghaddam ◽  
Hamed Shakouri G.
Keyword(s):  
Grounded Theory ◽  
System Dynamics ◽  
Technology Acceptance ◽  
Conceptual Model ◽  
Technology Acceptance Model ◽  
Holistic Model ◽  
Content Type ◽  
Systemic Model ◽  
Effective Policy ◽  
Acceptance Model

Purpose The Iranian construction industry has been grappling with numerous problems in recent years, including rework, high costs and design errors. Engineers in this field have always highlighted the use of modern technological methods of construction to improve quality and productivity and reduce time and cost. One of these technologies is the so-called building information modeling (BIM), which has been very difficult to adopt and implement in Iran. The purpose of this study is to propose a systemic and holistic model to analyze the dynamics of adoption and implementation of BIM in this country. The purpose of this paper is to understand the dynamics of BIM acceptance to identify the most effective policy to maximize it in the Iranian manufacturing industry. Design/methodology/approach A two-stage methodology has been developed to achieve the purpose of the research. In the first stage, a technology acceptance model for BIM acceptance was developed using the grounded theory (GT) method. This conceptual model provides a holistic basis for building a simulation model. Thus, in the second stage, we used the dynamics system methodology to extract a dynamic model from the conceptual one. This dynamic model can simulate different policies and may be used to evaluate their respective effectiveness. Findings In this study, using the GT method, we obtained 510 primary codes, 118 secondary codes, 50 concepts and 17 categories. After determining the relationships between categories through axial coding, we reached a conceptual model based on selective coding. Mention some of the variables of the conceptual model. Awareness, security, perceived usefulness and perceived ease of use are some of the most important variables of this model. In the next part, this conceptual model was run using system dynamics and, thus, turned into a causal model in which all the effective variables on BIM technology and their relationships with each other are specified. The stock and flow diagram of the problem and its related equations were presented. To improve the model and solve the problem, we examined the four policies as four future scenarios on the model: continuing the status quo, development of specialist workforce training, bolstering governmental support and increasing awareness via advertisement within. The simulation results showed that government support is the most effective policy for maximizing BIM acceptance in Iran. Practical implications In addition to enumerating all the factors affecting BIM technology, this paper proposes a systemic model that provides an accurate and comprehensive view of the acceptance of this technology. In this regard, by introducing feedback loops, as well as reinforcing and balancing factors versus factors causing stasis, the model offers a much deeper insight into mechanisms associated with BIM development and its barriers. Therefore, this study provides a very useful perspective and basis for policy-makers and all stakeholders to accept and implement BIM technology. The findings of this study can lead to more accurate policy-making, removal of acceptance barriers, promotion of incentives, and consequently more effective acceptance of BIM technology. Originality/value In this study, a new mixed research method was used. The innovation of our study lies in its simultaneous use of GT method to construct an accurate and holistic model and applying the system dynamics methodology to build a holistic and systemic model of the BIM acceptance problem. This research also provides a suitable standard and tool for studying BIM technology in developing countries.

Integrating TAM, TPB and TOE frameworks and expanding their characteristic constructs for e-commerce adoption by SMEs

2015 ◽  
Vol 6 (1) ◽  
pp. 76-94 ◽  
Author(s):  
Hart O. Awa ◽  
Ojiabo Ukoha Ojiabo ◽  
Bartholomew Chinweuba Emecheta
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Reasoned Action ◽  
Theoretical Framework ◽  
Future Research ◽  
Content Type ◽  
Perceived Service Quality ◽  
Integrated Framework ◽  
Perceived Trust ◽  
Acceptance Model

Purpose – This paper aims to propose a framework that integrated the technology acceptance model (TAM), theory of planned behaviour (TPB) and technology-organization-environment (TOE) and extended the constructs to enrich literature and capture some peculiarities of small and medium-scale enterprises (SMEs). Individually, the frameworks of extant TAM, TPB and TOE are insightful to the understanding of e-commerce adoption but a bit parochial in their constructs and so, can rarely provide clear lenses to deal with SMEs. Design/methodology/approach – The adoption of e-commerce depends largely on the users’ conscious assessment of the influencing constructs as proposed, among others, in theories of reasoned action, TAM, TPB and TOE. This paper reviewed, synthesized and extended the constructs of these models in an integrated framework. The proposed integrated framework led to 18 propositions to promote and facilitate future research, and to guide explanation and prediction of e-commerce adoption in an organized system. Findings – The introduced constructs in the integrated framework (e.g. company mission, individual difference factors, perceived trust and perceived service quality) introduce socio-technical systems and improve the theoretical base of adoption. Research limitations/implications – Neither the adoption drivers nor the constructs in the theoretical framework are mutually exclusive and exhaustive; rather, they are complementary and could incorporate other factors. Although the theoretical implications of the findings of this paper extend the scope of adoption drivers, the proposed framework needs to be tested empirically. Originality/value – The integrated and extended theoretical framework links three adoption drivers and attempts to improve existing knowledge on e-commerce adoption and to provide bases for more informed decision(s).

Exploring customers’ attitudes to the adoption of robots in tourism and hospitality

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed Abou-Shouk ◽  
Hesham Ezzat Gad ◽  
Ayman Abdelhakim
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Service Robots ◽  
Content Type ◽  
Factors Affecting ◽  
Positive Attitudes ◽  
Travel Agencies ◽  
Tourism And Hospitality ◽  
Acceptance Model

Purpose This study aims to explore the factors affecting customers’ attitudes to the adoption of robots in hotels and travel agencies. Design/methodology/approach Structural equation modelling was used to test the extended technology acceptance model based on data collected from 570 customers of hotels and travel agencies. Findings The findings revealed that hotel customers have more positive attitudes to service robots than their peers in travel agencies. Originality/value This research contributes to the literature on robots in tourism and responds to the call to investigate customers’ attitudes to the adoption of robots in developing countries.

Developing a theoretical framework for intelligent contract acceptance

2020 ◽  
Vol 20 (3) ◽  
pp. 421-445 ◽  
Author(s):  
Alan J. McNamara ◽  
Samad M.E. Sepasgozar
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Industry 4.0 ◽  
Theoretical Framework ◽  
The Body ◽  
Extensive Literature ◽  
Contributing Factors ◽  
Model Framework ◽  
Content Type ◽  
Acceptance Model

Purpose This paper aims to develop a novel theoretical technology acceptance model, namely, for predicting acceptance of the trending technology of intelligent contracts (iContracts) in construction, which aims to integrate the data from emerging cyber-physical systems being introduced to the sector through the industry 4.0 revolution. This model includes main dimensions and critical contributing factors to assess the readiness for the iContract concept within the construction contract environment. Design/methodology/approach Through an extensive literature review, the structure of a unique theoretical technology acceptance model for iContract implementation, within construction, was developed iContract acceptance model (iCAM). Relevant themes were assessed through the lens of the technology acceptance model framework and the four accepted dimensions of the technology readiness index (TRI) concept. The main components of the model were examined with selected practitioners, with relevant experience and understanding of the iContract concept, with thematic mapping of the discussions correlated back to 12 specific iContract contributing constructs of the four adapted TRI dimensions. Findings The paper contributes to the body of knowledge by proposing a novel iCAM for a trending technology based on the specific requirements of iContract adoption. The interviews show that while the desire to digitalise the contractual environment exists, the readiness of the sector for such a disruptive change is unknown. Practical implications The findings and proposed conceptual iCAM offers a lens for the further development of the iContract concept by assisting practitioners to forecast digital readiness of the contract process in construction. Originality/value This study offers a unique and theoretical framework, in an embryonic field, for predicting the success of iContract implementation within construction organisations through the digital, industry 4.0 and revolution.

Can Bahraini patients accept e-health systems?

2019 ◽  
Vol 32 (4) ◽  
pp. 720-730 ◽  
Author(s):  
Ali Zolait ◽  
Nadeen Radhi ◽  
Muna Moahmmed Alhowaishi ◽  
Veera Pandiyan Kaliani Sundram ◽  
Lulwa Mohammed Aldoseri
Keyword(s):  
Health System ◽  
Technology Acceptance ◽  
Reasoned Action ◽  
Structured Interview ◽  
Content Type ◽  
Factors Affecting ◽  
Tam Model ◽  
Acceptance Model ◽  
Self Administered Questionnaire ◽  
Practical Implications

Purpose The purpose of this paper is to examine whether Bahraini individuals accept e-health system and the prominent factors affecting e-health system adoption in Bahrain. Design/methodology/approach The authors adopted a quantitative and qualitative approach, i.e., a self-administered questionnaire, unstructured and a semi-structured interview, which were used to collect the data. A questionnaire was distributed to Bahraini residents selected randomly. The framework was based on the technology acceptance model (TAM) and theory of reasoned action (TRA). Important variables from both the TAM model and TRA theory were extracted and jointly used to build the research model. Findings The findings indicated that the most factors affecting e-health adoption are trust, health literacy and attitude. Additionally, people in the private and government sectors understand e-health benefits. Practical implications If healthcare professionals understand the factors affecting e-health system adoption from an individual and organisational perspective, then nurses, pharmacists and others will be more conscious about e-health and its adoption status. Originality/value E-health system adoption has become increasingly important to governments, individuals, and researchers in recent years. A novel research framework, based on TAM and TRA, was used to produce a new integrated model.

Mobile commerce adoption among the bottom of the pyramid: a case of street vendors in Thailand

2019 ◽  
Vol 10 (1) ◽  
pp. 193-213 ◽  
Author(s):  
Tanikan Pipitwanichakarn ◽  
Nittaya Wongtada
Keyword(s):  
Technology Adoption ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Commerce ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Street Vendors ◽  
Content Type ◽  
Acceptance Model

Purpose This study aims to investigate the applicability of technology acceptance model in explaining technology adoption among street vendors in Thailand as a representation of emerging economies. Design/methodology/approach A pen-and-pencil survey was administered to 370 street vendors in Bangkok; 356 usable surveys were analyzed for a completed rate of 96.2 per cent. Structural equation modeling was used to analyze the data. Findings This study contributes to the existing technology acceptance literature as follows: First, the predictive power of the technology acceptance model is strong and holds true for street vendors. Second, it revealed that the relationship of entrepreneurial orientation and technology adoption is completely connected through the decision-making process (i.e. trust and system characteristics, otherwise known as usefulness and ease of use). Finally, the degree of product differentiation strengthens the positive relationship between perceived usefulness and the intention to use mobile commerce. Originality/value This study advances the previous research on e-commerce adoption in settings outside the formal sector. More specifically, this study developed and validated the extended technology acceptance model in the smallest-scale of entrepreneurs, street vendors, to increase the understanding of the adoption of m-commerce.

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