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With the liberalization and internalization of financial markets, in terms of the entrance of the World Trade Organization, banks in Taiwan face pressures in service quality and administrative efficiency. Predicting customers’ intention to adopt Internet banking is an important issue. Attempts to understand how an individual's belief, embracing attitude, subjective norm and perceived behavioral control, can influence intention. Two versions of the model of the theory of planned behavior (TPB) – pure and decomposed – are examined and compared to the theory of reasoned action (TRA). Data are collected from approximately 425 respondents and structural equation modeling is used to analyze the responses. Results generally support TRA and TPB and provide a good fit to the data.

The current study aims to investigate college students' behavioral intentions to adopt e-textbooks for their studies according to well-known theoretical intention-based models.

This paper empirically assesses five theoretical models of technology acceptance, including the theory of planned behavior (TPB), the technology acceptance model (TAM), the decomposed TPB model (DTPB), the combined model of TAM and TPB (C-TAM-TPB), and the unified theory of acceptance and use of technology (UTAUT). The survey methodology and structural equation modeling (SEM) were employed to examine and compare these five models. Moreover, explanatory power, goodness-of-fit indices, and model parsimony were taken into consideration in the model comparisons.

Both TPB and TAM provided less effective but adequate predictive behavioral power. However, TPB appeared to be more parsimonious than TAM and the other models. By focusing on specific beliefs of attitude, social and control influences, DTPB shares many of the same advantages as TPB and TAM, but is less parsimonious. Similarly, C-TAM-TPB, an augmented version of TAM that incorporates social influences and behavioral control, is superior to TPB and TAM in terms of its explanatory power of behavioral intention to use e-textbooks. Overall, however, the results indicated that UTAUT appeared to be the best model in terms of the metrics of parsimonious fit and explanatory power.

Theoretical comparison of different models is important. This is believed to be the first study to present model comparisons by investigating undergraduates' intention to adopt e-textbooks as tools for their on-campus learning in Taiwan.

Open access (OA) has emerged as a modern academic publishing paradigm that strives to provide all members of society with free access to scholarly knowledge. This study aims to assess the behavior of faculty members to publish in OA journals from the perspective of the decomposed theory of planned behavior (DTPB).

A quantitative survey research design based on a cross-sectional survey approach was applied to investigate the phenomenon. The data were collected through a structured questionnaire from 338 faculty members of two large universities in Pakistan.

The findings of the study indicate that behavioral intentions (β = 0.664, p < 0.01), subjective norms (β = 0.159, p < 0.01) and perceived behavioral control (β = 0.238, p < 0.01) positively while attitude toward behavior negatively affected the actual behavior of the university faculty members to publish in OA journals.

The study offers theoretical implications for researchers and practical implications for educational authorities, policymakers and funding agencies.

The study fills the literature gap and offers insight into the OA publishing behavior of academicians from the perspective of DTPB.

The purpose of this article is to assist US apparel firms to successfully market in China. It aims to accurately predict Chinese consumers' purchase intentions toward a US brand. For this purpose, it proposes a composite model incorporating two behavioral intention models, Lee's model and decomposed Ajzen's model, and empirically tests the composite model.

A total of 747 consumer data were collected in three cities of China, Shanghai, Beijing, and Guangzhou, utilizing a series of mall intercept method at two levels of shopping malls in each city.

Among the proposed direct paths to purchase intention (PI), attitude toward the US brand apparel was the most important in explaining contemporary Chinese consumers' purchase intentions, followed by external perceived behavioral control (PBC) and subjective norm (SN). Two Confucian values, face saving and group conformity, did not directly affect PI at all, and face saving only influenced PI indirectly through the increase of attitude toward US brand apparel. Among external PBC (one's controllability toward a purchase) and internal PBC (one's self‐efficacy), only external PBC led to PI.

By examining the two aspects of PBC, the study validated the importance of consumers' resource controllability (i.e. external PBC) in Chinese purchase behaviors in the midst of rapid socioeconomic changes. This approach advances previous studies that primarily viewed PBC as one dimension.

The paper is one of earliest endeavors to consider the decomposed PBC in a composite model. Also, the paper provides early proof that external PBC is more important than internal PBC in purchase contexts.

The purpose of this paper is to examine the factors that influence an individual’s intention to participate in the family takaful scheme based on decomposed theory of planned behaviour (DTPB). The central hypotheses for this study are that individual’s intentions to participate in family takaful scheme are a result of attitudes towards participation in family takaful scheme, subjective norms, and perceived behavioural control (PBC). Awareness and knowledge, as well as exposure and religiosity, are integrated into the model.

Using primary data collection method, 384 questionnaires were distributed to target respondents comprising of Muslims in Klang Valley, Malaysia. The data were analysed using Statistical Package for the Social Sciences and SmartPLS.

The DTPB model is effective in predicting individual’s intention to participate in family takaful scheme. Out of 15 hypotheses, 12 were found to be significant. Attitudes towards participation in family takaful scheme, PBC, knowledge, and exposure have significant influences on purchase intention. However, this study found the path from religiosity, awareness, and subjective norm to intention was insignificant.

The results of this study highlight the applicability of DTPB into takaful research and suggest marketing strategies for family takaful operators.

The value of this paper lies in its presentation of a model for factors that affect individual’s intention to participate in family takaful scheme.

The purpose of this study is to review the role of knowledge-sharing and its association with the Theory of Planned Behavior (TPB). TPB is the most used theory in understanding knowledge-sharing behavior in many contexts.

Based on the bibliometric approach, this study extracted and analyzed 229 journal articles on the Web of Science. In addition, two analyses (bibliographic coupling and co-word) were performed to provide science mapping in presenting the knowledge structure on the present and future research direction on knowledge-sharing and TPB.

The findings of this study suggest that two stand-out clusters are determinants and antecedents of knowledge-sharing behavior based on TPB and the role of the virtual platform and social media in facilitating knowledge-sharing among users.

This study will benefit researchers and scholars in studying individual behavioral traits underpinning TPB in achieving organizational excellence.

This study extends the findings of the previous review because of their limitations on methods. This study confirms the determinants of knowledge-sharing intention and behavior. However, this study suggests integrating TPB with other theories to provide more insights into knowledge-sharing behavior and use online and technology-based platforms to facilitate knowledge-sharing behavior.

Information and communications technology (ICT) offers enormous opportunities for individuals, businesses and society. The application of ICT is equally important to economic and non-economic activities. Researchers have increasingly focused on the adoption and use of ICT by small and medium enterprises (SMEs) as the economic development of a country is largely dependent on them. Following the success of ICT utilisation in SMEs in developed countries, many developing countries are looking to utilise the potential of the technology to develop SMEs. Past studies have shown that the contribution of ICT to the performance of SMEs is not clear and certain. Thus, it is crucial to determine the effectiveness of ICT in generating firm performance since this has implications for SMEs’ expenditure on the technology. This research examines the diffusion of ICT among SMEs with respect to the typical stages from innovation adoption to post-adoption, by analysing the actual usage of ICT and value creation. The mediating effects of integration and utilisation on SME performance are also studied. Grounded in the innovation diffusion literature, institutional theory and resource-based theory, this study has developed a comprehensive integrated research model focused on the research objectives. Following a positivist research paradigm, this study employs a mixed-method research approach. A preliminary conceptual framework is developed through an extensive literature review and is refined by results from an in-depth field study. During the field study, a total of 11 SME owners or decision-makers were interviewed. The recorded interviews were transcribed and analysed using NVivo 10 to refine the model to develop the research hypotheses. The final research model is composed of 30 first-order and five higher-order constructs which involve both reflective and formative measures. Partial least squares-based structural equation modelling (PLS-SEM) is employed to test the theoretical model with a cross-sectional data set of 282 SMEs in Bangladesh. Survey data were collected using a structured questionnaire issued to SMEs selected by applying a stratified random sampling technique. The structural equation modelling utilises a two-step procedure of data analysis. Prior to estimating the structural model, the measurement model is examined for construct validity of the study variables (i.e. convergent and discriminant validity).

The estimates show cognitive evaluation as an important antecedent for expectation which is shaped primarily by the entrepreneurs’ beliefs (perception) and also influenced by the owners’ innovativeness and culture. Culture further influences expectation. The study finds that facilitating condition, environmental pressure and country readiness are important antecedents of expectation and ICT use. The results also reveal that integration and the degree of ICT utilisation significantly affect SMEs’ performance. Surprisingly, the findings do not reveal any significant impact of ICT usage on performance which apparently suggests the possibility of the ICT productivity paradox. However, the analysis finally proves the non-existence of the paradox by demonstrating the mediating role of ICT integration and degree of utilisation explain the influence of information technology (IT) usage on firm performance which is consistent with the resource-based theory. The results suggest that the use of ICT can enhance SMEs’ performance if the technology is integrated and properly utilised. SME owners or managers, interested stakeholders and policy makers may follow the study’s outcomes and focus on ICT integration and degree of utilisation with a view to attaining superior organisational performance.

This study urges concerned business enterprises and government to look at the environmental and cultural factors with a view to achieving ICT usage success in terms of enhanced firm performance. In particular, improving organisational practices and procedures by eliminating the traditional power distance inside organisations and implementing necessary rules and regulations are important actions for managing environmental and cultural uncertainties. The application of a Bengali user interface may help to ensure the productivity of ICT use by SMEs in Bangladesh. Establishing a favourable national technology infrastructure and legal environment may contribute positively to improving the overall situation. This study also suggests some changes and modifications in the country’s existing policies and strategies. The government and policy makers should undertake mass promotional programs to disseminate information about the various uses of computers and their contribution in developing better organisational performance. Organising specialised training programs for SME capacity building may succeed in attaining the motivation for SMEs to use ICT. Ensuring easy access to the technology by providing loans, grants and subsidies is important. Various stakeholders, partners and related organisations should come forward to support government policies and priorities in order to ensure the productive use of ICT among SMEs which finally will help to foster Bangladesh’s economic development.

The rapid emergence and acceptance of blockchain applications by investment professionals has made this study significant. The study aims to examine the degree of trust and acceptance of blockchain technology in the Indian financial services industry.

The decomposed theory of planned behaviour (DTPB) model is investigated using responses from 200 investment professionals to an online survey on blockchain technology adoption, and partial least squares structural equation modelling using SmartPLS 3.0 is used to analyse the results.

In general, the results support a DTPB and offer the best fit to the data. This study may have significant drawbacks in predicting blockchain technology’s acceptance by investment professionals. Furthermore, the findings suggest that the research instruments used in this study, which engage users in business settings, are equally successful in the context of investment professionals.

In predicting blockchain acceptance by investing experts, this study may have significant drawbacks.

As a result of TAM studies, it has been determined that perceived usefulness is more essential than perceived ease of use. Therefore, investment professionals may have discovered significant subjective normative impacts on behavioural intention. Management must devise techniques for implementing blockchain technology in digital financial services that are compatible with users’ workplaces.

Users may benefit from this research by concentrating on blockchain acceptance to improve digital banking services.

The purpose of this paper is to construct a model for factors that affect on‐line consumer behavior intentions and post‐purchasing behavior by: integrating the decomposed theory of planned behavior, technology acceptance model, and relationship quality; identifying the difference of industries in their effect on consumer behavior; and inferring management implications from implementing empirical data analysis based on the structural equation model.

The paper investigates samples of banking and travel agents' customers in Taiwan, selected from four metropolitan areas, using stratified random sampling and LISREL hypotheses testing.

The paper finds differences in the management of banking and tourism industries, regarding professional “brand image”; the affect of “subjective norm”; “perceived risk” and “gap of perceived service quality.” “Product involvement” has no significant influence on “actual behavior”. Intervening variables such as product attribute, personal character of consumers exist in the relationship of product involvement and actual behavior.

The paper combines different theories and discusses many variables, so the verification and explanation of this study model may not be complete enough. It is suggested that researchers may aim at a single theory and discuss fewer variables to give a more comprehensive and deepened argumentation.

This paper gives very useful, practical marketing suggestions for person‐based services.

The value of this paper lies in its presentation of a model for factors that affect on‐line consumer behavior intentions and post‐purchasing behavior.

Traditional studies on a decomposed theory of planned behavior (DTPB) analyze the relationship of variables through a structural equation model. If certain variables do not fully comply with the independent hypothesis, it is not possible to conduct proper analysis, which leads to false conclusions. To solve these problems, the aim of this research is to adopt an expert opinion‐driven decision making trial and evaluation laboratory (DEMATEL), and re‐establish the causal relationship and the degree of interrelationship of DTPB variables.

This research used a university library website as an individual case, and illustrated the benefits of constructing DTPB model by using DEMATEL through the opinions of 23 experts surveyed by questionnaires.

According to the analysis result of constructing DTPB model by using DEMATEL, when DTPB variables were distributed within quadrants of high centrality and degree of causality, they became the key influential variables; when distributed within quadrants of low centrality and degree of causality, the variables needed urgent management.

When traditional DTPB does not consider the direct and indirect relationships among variables, the original causal relationship of variables will be influenced, and then the original variables cannot fully demonstrate their causal relationship. Therefore the feasibility and effect of constructing DTPB model by using DEMATEL proposed in this research are proved through individual cases.