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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.

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.

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.

The purpose of this paper is to investigate which of four well-established theoretical models (i.e. technology acceptance model, theory of planned behavior, unified theory of acceptance and use of technology, decomposed theory of planned behavior (DTPB)) best explains potential users’ behavioral intentions to adopt mobile banking (MB) services.

Drawing on data from 931 potential users in Greece, the structural equation modeling method was used to examine and compare the four models in goodness-of-fit, explanatory power and statistical significance of path coefficients.

Results indicate that the best model is an extension of the DTPB with perceived risk (PR). Customers’ attitude, determined by three rationally-evaluated MB attributes (usefulness, easiness and compatibility), is the main driver of consumers’ intentions to adopt MB services. Additionally, consumers’ perceptions of availability of knowledge, resources and opportunities necessary for using the service, and the pressure of interpersonal and external social contexts toward the use of MB are the other two, less important, adoption drivers. Finally, PR negatively affects attitude formation and inhibits willingness to use MB services.

Findings can help marketers of financial institutions to select the more parsimonious model to develop appropriate marketing strategies to increase adoption rates of MB services.

This is the first study that compares the performance of four well-known innovation adoption models to explain consumers’ behavior in the MB context.

The main purpose of the study is to examine the willingness of Moroccan small- and medium-sized enterprises (SMEs) to adopt profit and loss sharing (PLS) method of finance and the factors that may influence their decision.

The research model is based on the decomposed theory of planned behaviour (DTPB). A total of 340 questionnaires were randomly distributed to SMEs’ owner-managers, out of which 177 were collected and only 153 were valid for analysis. Factor analysis and partial least squares regression were subsequently applied.

The results showed that cost, loss of control, constrained access to conventional debt, financial suitability, stage of development as well as religious beliefs have a significant impact on the SMEs’ attitude towards PLS modes. Likewise, normative belief was also found to have a significant influence on subjective norm, by particular reference to the family, financial external consultants and internal managers, as the main referent groups. In addition, finally, attitude and perceived behavioural control were found to have a significant impact on the intention to adopt PLS financing by Moroccan SMEs.

The sample is not representative; hence, the findings cannot be generalized to all Moroccan SMEs. Furthermore, the variables and dimensions used are not exhaustive. With regard to implications, the study confirms the applicability of the DTPB to SME financing questions. Moreover, this study provides great indications to the practitioners, investors, policy makers and regulators on the perception of the Moroccan entrepreneurs, which should be taken into consideration to establish the necessary strategies to attract them.

This paper verifies the applicability of the DTPB in another area, that is, adoption of PLS instruments and contributes to explain the entrepreneurs’ perceptions towards theses modes of financing.