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Data flow analysis is used in a novel context for business process modelling. A framework is presented together with its enterprise modelling concepts and the associated modelling tools. The framework was specifically developed for small‐ to medium‐sized industries. The strengths and weaknesses of the general data flow analysis approach are discussed in terms of its suitability for Hong Kong’s small‐ to medium‐sized industries. A case example is also presented to illustrate the methodology.

The purpose of this paper is to describe and analyze the business processes of a bank by considering a graphical and a descriptive view in order to find critical processes and to improve them.

A methodology with which the business processes are modeled based on the flow diagram (FD) and integrated definitions (IDEF0) techniques.

Detects the descriptive and graphical view of the main critical business processes of a bank. Allows to propose correct and effective improvements to them and considers different views and degrees of detail.

This study considers a static view of the processes. A future line of research includes the simulation of the critical business processes of the bank detected with the modeling techniques herein proposed.

The business process modeling techniques apply to one subsidiary of a bank company, and can thus be extended to all subsidiaries to compare their performance and to apply the improvements by considering global objectives.

This paper proposes a structured modeling to capture the critical business processes of a bank through well‐known techniques, such as the FDs and IDEF0, and helps compare and detect these relevant aspects for the bank.

A case‐based research approach is used to illustrate the power of modelling manufacturing performance measures and to help develop insights into the nature and problems evident when attempting to use simulation across different enterprise sectors. The research methodology used considered three specific companies, each with distinctive characteristics and attributes; a small to medium enterprise, a medium to large enterprise and a large enterprise. From a cross‐case analysis of the use of discreet‐event (DE) simulation when applied in these instances, the research attempts to develop policy implications that will provide a better understanding of how simulation studies should be approached across different manufacturing enterprises.

The paper aims at providing a survey of the development of empirical research in business process management (BPM). It seeks to study trends in empirical BPM research and applied methodologies by means of a developed framework in order to identify the status quo and to assess the probable future development of the research field.

In order to analyse the development of the research field a systematic literature review of empirical journal articles in the BPM context is conducted. The retrieved literature is analyzed by means of scientometric methods and a developed reference framework.

The steadily growing number of published articles in empirical BPM research shows an increase in interest in the research field. Research interests, applied methodologies, the underlying research paradigm and the level of maturity of empirical BPM research differ depending on regional aspects. BPM gains importance in the industry as well as in the public administration context.

The findings are based on a sample of 355 articles and not on an exhaustive amount of available empirical research contributions. Nevertheless, significant analyses can be conducted. Future research could apply the developed reference framework for further literature reviews in order to be able to compare the findings and to measure progress.

The presented literature review gives an overview of trends in empirical BPM research. The developed and strictly applied reference framework supports a systematic analysis of contributions and can thus draw a significant picture of the state‐of‐the‐art of the research field. To the best knowledge of the authors no such survey has currently been undertaken.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

Today the research area on technology acceptance is mainly dependent on the theory of technology acceptance model (TAM). The TAM was used in this study primarily for the purpose of providing a basis for determining the impact of various external variables on the adoption of edtech platforms. The TAM is a theory of information systems that suggests steps for learners to take as they adopt and use new technologies. The primary TAM variables for adoption of edtech platforms are evaluated in this study: perceived usefulness (PU) and perceived ease of use (PEOU) by using the factors – perceived enjoyment (PE), information quality, electronic-word of mouth (e-WOM), perceived compatibility, computer self-efficacy and objective usability. By analyzing and defining the relationship between the external variables with respect to the adoption of edtech platform among students, we hope to contextualize the TAM model. The end result provides a clearer understanding of TAM and its growth as a useful model for technology adoption studies and for clarifying the relationship between the uptake of edtech platforms and technological acceptability. The study employed a qualitative methodology and selected publications and research papers about the adoption of technology. These were then carefully assessed, analyzed and scrutinized for the terms of how students adopted edtech platforms. It was proposed that the adoption of an edtech platform may result from proper training in technology usage and its application to real-world scenarios.

The purpose of this study is to empirically examine the utility of information systems (IS) success models in mandatory e-government services, as opposed to the volitional ones that have been the focus of previous studies. The models include the technology acceptance model (TAM) (1989) and Seddon’s model (1997), which involve three (ease of use, usefulness and citizens satisfaction) and four variables (system quality, information quality, usefulness and citizen satisfaction).

The models were compared based on a survey conducted on 780 foundation year students of government universities in Saudi Arabia. The Saudi Government has launched a mandatory e-government service geared to assist high school graduates in the university academic admission process. The goodness-of-fit and parsimony of fit indices and the explanatory power were used to compare the two models.

The structural equation modeling techniques revealed that overall, the two models both exhibited reasonable fit with the collected data, whereas TAM showed the best fit to the sample data and yielded superior goodness-of-fit indices over Seddon’s model. In terms of explanatory power, Seddon’s model predicted 28% (R² = 0.28) of the variance explained for citizen satisfaction, whereas TAM predicted 21% (R² = 0.21). All the parsimony of fit indices favored TAM over Seddon’s model.

This study examined the validity of TAM and Seddon’s model, using citizen satisfaction as the dependent variable to compare them. TAM and Seddon’s model were modified to better fit the current research context of mandatory e-government services; thus, the findings may not hold for their original or other voluntary settings. In addition, the focus on a single survey for a certain time in a certain territory of mandatory e-government service may have limited the generalizability of the results to other mandatory contexts. Future research should make use of large, cross-sectional samples in different mandatory contexts to enhance result generalization.

This study’s findings can provide e-government practitioners with deeper perceptions of how to address citizen satisfaction with mandatory e-government services. The results exposed usefulness as the common and major construct, having the strongest influence on citizen satisfaction in both TAM and Seddon’s model; thus, maximizing the benefits of e-government services for citizens is crucial to their success. The causal relationship between information quality and citizen satisfaction was not supported. This supports the perspective that e-government services are currently evolving quickly, becoming more integrated and easier-to-use, generally requiring only a few clicks and less information.

This study has extended the assessment of the validity of IS success models to a mandatory IS usage setting. The comparison study of different IS success models is crucial as it acts as a guide for researchers to determine the trade-off between the models used to conduct research on a particular context. The study concludes that TAM is the most parsimonious and universal model for the study of user satisfaction in mandatory contexts. The findings will provide e-government practitioners with insights into IS success measures suited to enhance the effectiveness of newly and future mandated e-government services.

A mobile wallet (m-wallet) is a part of financial technology products and is still in the infant stage in Palestine. The technology acceptance model (TAM) formed the basis of the model development, which was extended in the study to include an analysis of how knowledge sharing (KOS), perceived value (PEV), perceived privacy awareness and control (PRI) and perceived security (SEC) influenced the primary TAM components of perceived ease of use (PEU), perceived usefulness (PRU) and intention to use m-wallets among Palestinian users.

This study used questionnaires as its primary data collection method. The questionnaires were distributed via online media, and the data collection period spanned from January 10, 2023, to February 21, 2023. The study received 360 responses from participants. Smart PLS and SPSS v.23 software were used to perform a method test on the collected questionnaire data.

The study’s findings demonstrate the factors influencing Palestinian users’ adoption of m-wallets by extending the Technology Acceptance Model (TAM) to include knowledge sharing, perceived value, privacy awareness and control and security, in addition to the main TAM elements, perceived ease of use (PEU) and perceived usefulness (PU), offering new insights into technology adoption in developing regions and addressing gaps in the literature.

This study has some limitations. First, it is limited because it looks at users’ intentions to use rather than their actual usage. The actual use of an m-wallet should be the topic of further research. Second, rather than focusing on Small and Medium Enterprises (SMEs), this study examined users’ intentions to use m-wallets. Thus, SMEs’ use of m-wallets may be studied in future research. Third, because the study users were from Palestine, the results may not be generalizable. Therefore, additional populations and cultures should be studied in future research. Fourth, the study used a convenience sample of 282 users. As a result, it is not easy to generalize to a sizable population. Future studies should use larger sample sizes or random samples. Finally, this study examined the direct relationship between independent and dependent variables. Future research may consider personal innovativeness and artificial intelligence as potential moderators.

User knowledge sharing can be an important factor driving user intention to use m-wallet. Users can raise awareness of m-wallets by sharing their knowledge and experiences with others about their uses, features and advantages. This is particularly useful in a country like Palestine, where m-wallets are not widely accepted or used. Therefore, m-wallets service providers should improve their services to motivate the users to share their knowledge with others to increase user intention to use. For instance, m-wallet service providers can provide user support programs that assist users in resolving issues, responding to inquiries and offering feedback on the service. Additionally, m-wallet service providers can enhance the user experience of their m-wallet by providing user-friendly interfaces, quick and dependable service and robust security features. By improving the user experience and providing users with a supportive and responsive environment, service providers can encourage users to share their positive experiences with others and increase user intention to use the m-wallet. User knowledge sharing can be an important factor driving user intention to use m-wallet. Users can raise awareness of m-wallets by sharing their knowledge and experiences with others about their uses, features and advantages. This is particularly useful in a country like Palestine, where m-wallets are not widely accepted or used. Therefore, m-wallets service providers should improve their services to motivate the users to share their knowledge with others to increase user intention to use. For instance, m-wallet service providers can provide user support programs that assist users in resolving issues, responding to inquiries and offering feedback on the service. Additionally, m-wallet service providers can enhance the user experience of their m-wallet by providing user-friendly interfaces, quick and dependable service and robust security features.

The widespread adoption of m-wallets is an important area of research, as it has significant theoretical implications for technology adoption. M-wallets provide an easy and secure way to pay without cash or physical cards. Therefore, identifying the factors affecting users’ intention to use m-wallets can help Palestinian m-wallet service providers to develop their marketing strategies. Extending the TAM to include four important factors (knowledge sharing, perceived value, perceived privacy awareness and control and perceived security) has improved our understanding of technology adoption models. The study empirically examines the intentions of Palestinian users to use m-wallets and how this novel technology is used in this area of the Arab world. The results empirically support that these factors strongly affect users’ intentions to use m-wallets. Thus, this study fills the knowledge gap about the factors influencing the use of m-wallets in Palestine and adds to the literature on the user intentions to use new technologies. Finally, this study is one of the first to examine the relationship between knowledge sharing, perceived value, perceived privacy awareness and control, perceived security and technology acceptance models in general and the extended TAM with these factors in a specific m-wallet context.

The preliminary empirical study investigates the factors affecting the use of m-wallets in Palestine by extending TAM with knowledge sharing, perceived value, perceived privacy awareness and control and perceived security as external variables to the model. The findings of this study help to fill a gap in the existing literature by identifying key variables that affect Palestinians’ intentions to use m-wallet. This study also contributes to the increase in knowledge in the area. To date, no studies have explored privacy in terms of awareness, control and knowledge sharing as essential factors that affect users’ intention to use m-wallets in Palestine.

A comprehensive operational framework is proposed to explain young consumers’ (i.e. generations Y and Z) engagement with brands on social media sites (SMSs). This paper aims to synthesize two motivational theories: uses and gratifications (U&G) theory and the technology acceptance model (TAM).

A selective literature review was conducted to examine recent publications related to young consumers’ brand-driven engagement behavior on SMSs in which either TAM or U&G theory was applied. A three-stage method was used: an initial search was followed by vertical and horizontal searches and then a targeted search of scholarly publications. At each stage, the university’s library databases and Google Scholar were searched for relevant, mainly peer-reviewed articles, using appropriate filters and keywords. The articles’ references and the studies that cited those articles were added to the initially identified research pool (vertical search), coupled with publications of a similar nature based on keywords (horizontal search). The final stage, the targeted search, involved identifying and adding specific articles (e.g. literature reviews and integrated models).

After a review of a significant number of U&G and TAM studies, similarities and differences of the two theories were identified, and an integrated operational framework was developed. Based on empirical findings of existing U&G and TAM studies, testable propositions were presented.

The proposed hybrid model and the associated propositions provide a research opportunity to empirically examine how young consumers’ motivational (i.e. motivating and demotivating) drivers, normative influence, perceived value and attitudes (toward brand content and engagement) predict intention or actual brand-related behavior on SMSs.

Much of current research indicates that generations Y and Z (“digital natives”) spend considerably more time on SMSs than any of the older generations (“digital immigrants”). Thus, brands that aim to target this cohort need to develop successful engagement strategies (e.g. gamification and influencer marketing) on current and emerging SMSs. The suggested conceptualization provides guidelines for companies to effectively use such communication strategies to motivate young people to engage with their brands on sites such as Twitter, Instagram and Facebook.

A review of TAM research indicates that it lacks rich motivating/demotivating constructs, and thus borrows from other theories to complement this weakness. An examination of U&G frameworks, particularity Ducoffe (1996)-based models, indicates that these frameworks mainly test engagement with social media advertising but seldom other types of brand-driven engagement on SMSs. In addition, many U&G studies focus less than TAM studies do on outcome variables such as behavioral intentions and behavior. Thus, the authors propose a synthesized U&G and TAM framework that mitigates both theories’ weaknesses and builds on their strengths, enriching the growing research on brand-driven engagement behavior via SMSs.

The purpose of this study is to present a systematic analysis using a meta-analytical approach regarding the antecedents and consequences of the technology acceptance model (TAM) in the retail context. This paper also analysed five different theoretical models using meta-analytic structural equation modelling. Finally, this paper investigated possible moderators on the relationships between TAM constructs.

This manuscript is conceptual as it is based on a literature review. In this line, this paper analysed 85 articles by a meta-analysis that generated 431 effect sizes and identified 8 antecedents and 2 consequences of the TAM construct.

All antecedents and consequences promoted significant effect sizes with TAM constructs. In the moderation analysis, this paper determined that top journals and countries with a high human development index promoted more substantial effect sizes in the relationship between perceived usefulness (PU) and behavioural intention, and PU and attitude towards system use, respectively. About the theoretical models tested, this paper found that the antecedents enjoyment and trust represent the best fit in TAM models, which affects attitude and behavioural intentions.

This research tested the impact of TAM’s antecedents, consequences and moderators in the retail sector and presented important results via a meta-analytical review. This meta-analysis contributes to the marketing literature by offering a set of empirical generalisations, including relationship coefficients and calculated fail-safe numbers.