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Traditional procedures in flat pattern design of aircraft sheet metal parts are generally based on technicians' personal idea and experiences which can cause unwanted inconsistency and errors. The main objective of this paper is to present an automated system for decreasing the time and increasing the accuracy in providing templates used in aircraft sheet metal parts manufacturing.

The paper discusses the software (Developer) which is able to receive 2D drawing of a part and create the flat pattern template after applying the necessary changes. The system is also capable of supplying other components of sheet metal part template such as support, tooling hole, and lightening hole. AutoLISP has been used as a tool for internal access to a commercial software such as AutoCAD. An interface has been written by Visual Basic for Application (VBA) to enable the user easily to apply the subroutines related to the software system.

Several algorithms have been developed and the necessary subroutines have been written in an integrated user‐friendly package. To clarify the process and its application, an application example is demonstrated.

The paper can provide automatically components that are not originally provided in other commercial software. It also has the ability to calculate spring‐back and provide unfold drawing. The known standard templates can also be created.

The purpose of this paper is to investigate the determinants of behavioural intention and use behaviour towards social networking apps. Exogenous latent constructs, namely, performance expectancy, effort expectancy and social influence are the key antecedents proposed based on the unified theory of acceptance and use of technology to predict the usage intention and behaviour of social networking apps (i.e. endogenous latent constructs). Experience as a moderator is the extended construct to explain social networking apps user’s behavioural intention.

To target young generation (Millennial), a cross-sectional data collection approach was conducted to collect data from the social networking apps users (i.e. Facebook, WhatsApp, WeChat, Twitter, Instagram, YouTube, Snapchat and others) whereby a total of 384 valid questionnaires were obtained from six universities in Malaysia. Statistical analysis using partial least squares path modelling approach and a variance-based structural equation modelling (VB-SEM) techniques is performed to analyse the measurement and structural relationship.

The findings indicate that performance expectancy, effort expectancy and social influence determine behavioural intention, and behavioural intention impacts social networking apps use behaviour. Moreover, the moderation analysis reveals that the relationship between effort expectancy and behavioural intention is moderated by experience, whereas the relationship between social influence and behavioural intention is not moderated by experience.

While the surge of social networking apps has gained tremendous popularity among Millennial as an attractive market segment, previous studies mainly have focussed on intention and behaviour of online users in general. Despite apps and related technologies which have opened a new era of effective communications in marketing, social networking apps usage intention and behaviour focussing on Millennial is not well understood in the current literature. This study contributes and sheds lights on the current issue of social networking apps usage intention and behaviour and looks into a key rising market segment, the Millennial users.

The purpose of this study is to examine the impact of service quality, perceived usefulness and users’ cognitive satisfaction to determine the third-generation (3G) mobile phone users’ behavioural retention in using 3G telecommunications services.

A total of 243 valid questionnaires were collected from 3G users in the Klang Valley, Malaysia. The combination of partial least squares (PLS) path modelling approach and structural equation modelling (SEM; PLS-SEM) technique was used to analyze the measurement and structural model.

Our empirical assessment supports the proposed research hypotheses and further suggests that service quality is a second-order reflective construct comprising navigation and visual design, management and customer service and system reliability and connection quality.

Prior studies have examined the impact of service quality, perceived usefulness, overall users’ satisfaction and behavioural intention on an information system in general. This study is among the few studies that have attempted to gain insights into 3G users’ post-adoption experience with telecommunications services.

The purpose of this paper is to provide a review of the mobile shopping (m-shopping) acceptance literature to bring international marketing and consumer research attention to m-shopping acceptance factors and limitations in current understandings to propose recommendations for further academic and retailing attention.

Keyword searches identified the consumer-focused literature across mobile commerce, m-shopping, mobile browsing and mobile purchasing, published in English language journals. A classification framework is created and a time frame is established to provide a more focused direction for research.

Despite the growing popularity of consumers adopting m-shopping activities and the increasing academic attention, consumer m-shopping utilisation remains low and research into its causes remains in its infancy. This paper has subsequently identified a variety of recommendations for further research, including further insights into perceived risk, user vs non-user behaviours, the multi-stage shopping process, incorporation of time considerations and theoretical development.

There has yet been a review of the m-shopping literature collaborating literary findings and limitations in the consumer m-shopping environment. Three major themes arise in this paper. First, there are a variety of factors affecting consumer willingness to accept m-shopping which are often incorporated in existing theory in a sporadic manner. Second, factors can create positive and/or negative consumer perceptions, requiring further insight. Finally, research limitations predominantly surround theoretical and methodological constraints, prompting for wider geographical and more longitudinal approaches to research.

Find out how the employees’ performance on the implementation of the hotel reservation information system. Therefore, this paper aims to examine the effect of the task-technology fit (TTF) on the use of information systems, as well as its effect on user performance and satisfaction.

This research type is explanatory research. In explanatory research, the aim is to provide an explanation related to the causal relationship between variables and hypothesis testing. The unit of analysis adopted in this study is the individual of the front office employees who use the star hotel reservation information system in South Kalimantan Province (the population is 239, and the taken are 150 samples, based on the number of indicators multiplied 5).

The higher the TTF, the higher the level of using information systems. The higher the use level of information systems, the higher the information systems user performance and vice versa in which the higher the user’s performance, the more increase the use of information systems. On the other hand, this study found that the use of information systems and user performance has no significant effect on user satisfaction.

The novelty in this study is shown in the influence between performance variables on the usage and the usage variables on the users’ performance. This study examines the importance of reciprocal usage and user performance relationships based on previous research studies that examine the relationship and that information technology (IT) usage will affect user performance. In addition, the users’ performance will affect the users’ behavior in using IT.

The present study aims to probe into the determinants of mobile wallet adoption by millennials with the assistance of extended technology acceptance model.

The data was collected from the students studying professional courses in leading private universities in the north region of India. Keeping in view of the objective and hypotheses, the Partial Least Square Structural Equation Modeling (PLS -SEM) technique was used to test the proposed model.

The tested model brings into notice the imperative observation, which clearly outlines that there are all significant relationships, which can be observed herein. To explicitly state: perceived ease of use (PEOU) has a significant positive relationship with the perceived usefulness followed by PEOU also shares a significant positive relationship with the behavioral intention, and lastly trust as a variable under study establishes a significant positive relationship with actual use (AU).

Implications for the banking industry are to ensure the safety and privacy (financial information) confidential.

The present study contributes to the literature of mobile wallet in the developing nations.

In the era of digitalization and technology, tremendous changes have taken place in the taxi industry worldwide. The traditional taxi service has transformed into the latest innovative technology-based e-hailing service. There are innumerable factors that drive the user adoption of e-hailing apps. This study aims to primarily concentrate on identifying, analyzing and ranking these factors which have an impact on the user intention toward using e-hailing apps.

The e-hailing app users in the state of Punjab and Chandigarh are the target population for the study. A fuzzy analytical hierarchy process technique has been applied to analyze and codify the determinants that influence the user intention of adopting e-hailing apps. The primary factors that have been considered for the study are social influence, perceived usefulness, facilitating conditions, perceived ease of use, self-efficacy, perceived risk, compatibility and trust.

The study revealed that “Perceived Usefulness” is the factor that influences user intention to use e-hailing apps the most, while “Perceived Risk” the least. The sub-criteria codified in the top priority was as follows: “Overall, I find the e-hailing app useful in booking a taxi (C15)”; “I do not need some people to use e-hailing apps (C52); “I believe e-hailing app is compatible with existing technology (C61).” The sub-criterion “E-hailing app service provider keeps its promise (C72)” was demonstrated to have the least impact on the user intention of adopting e-hailing apps.

The study has been confined to only eight factors selected from the extended technological acceptance model framework and some related technology acceptance theories. Some more other factors may have an impact on user adoption of e-hailing apps, which need to be added further. Also, the scope of the study should be enhanced by expanding the geographical area beyond the selected region.

The findings of the study enable the e-hailing service providers and marketers to understand the users’ intention in a better way, to make improvements in e-hailing apps and formulate strategies accordingly.

The previous literature provides the base to the present study for identifying the factors affecting user behavioral intention toward e-hailing apps and information technology. The findings and results of the present research make value addition to the existing knowledge base.

The purpose of this paper is to examine the factors that influence the attitude and behavioral intention towards mobile wallet adoption and to examine the moderating effect of gender and age between antecedents of mobile wallet adoption and user attitude and intention.

Based on the literature review, certain themes around mobile wallet adoption were generated around which inputs were sought through two focus group discussions, first of which comprised working executives and second comprised students. A sample of 744 users of mobile wallet provided their awareness on mobile wallets, various mobile wallet services used and perception on ease of use, usefulness, trust, security, facilitating conditions and lifestyle compatibility (LC). To examine the moderating effect of gender and age, two methods, namely, Henseler’s partial least squares-multi group analysis (PLS-MGA), a non-parametric approach, and PLS-MGA, parametric approach, are used. The data was analyzed using partial least square-structural equation modeling.

The ease of use, usefulness, trust, security, facilitating conditions and LC significantly influence user attitude and intention. The results show that both gender and age moderate the relationship between select antecedents and attitude and intention and the influence is seen more for males and young users.

The sample comprises students and professionals from metros and large cities; hence, the generalizability of the results to the population at large may be limited. This study only examines the moderating role of age and gender. Future studies may include other demographic variables such as education, income, occupation, experience and household size.

The findings help mobile wallet service providers understand the relevance and influence of various antecedent variables on the attitude and intention to adopt technology. This will help to plan and prioritize attributes for marketing purposes to increase the adoption and usage rates. Moreover, managers should plan strategies to enhance confidence among females and old age customers.

The proposed model both investigates the impact of antecedents on user attitude and intention and examines the moderating effect of select demographic variables. There are few empirical studies on the moderating effect of gender and age in the context of mobile wallets in India.

The purpose of this study is to investigate the continuance intention of using e-government services in Tanzania as well as moderating effects of system interactivity.

A research model based on expectancy confirmation model was developed and empirically tested using 213 data collected from e-government services users who were selected using the judgemental sampling technique. The variance-based structural equation modelling technique was used for data analysis using SmartPLS 3.0.

The results of this study suggest that system interactivity, computer self-efficacy, management support, confirmation, satisfaction and perceived usefulness have a positive and significant influence on continuance intention to use e-government services. Moreover, the findings of this study indicate that system interactivity moderates the influence of perceived usefulness and satisfaction on continuance intention.

This study extends the expectancy confirmation model with system interactivity, management support and computer self-efficacy which are considered as important factors in continuance usage of technology. Furthermore, this study examines the moderating effect of system interactivity on the effects of perceived usefulness and satisfaction on continuance intention.

The purpose of this paper is to understand consumers’ intention to adopt internet banking. The study adopted the technology acceptance model with additional constructs (i.e. consumer innate innovativeness (II), domain-specific innovativeness (DSI) and perceived security risk (PR)).

The data were collected through a questionnaire-based survey (487 usable responses) from Indian consumers. A two-step SEM approach (i.e. measurement model and structural model) was used to analyze the data.

The findings show the significant positive influence of perceived usefulness, ease of use, attitude, II and DSI on consumer’s intention to adopt internet banking. The PR was found to have a significant negative influence on consumers’ intention to adopt internet banking, and DSI was found to negatively influence PR.

The study is limited to users of a particular region of India. Furthermore, the study limits itself in determining consumers’ intention only, not actual usage.

The study is a preliminary attempt to examine consumer’s intention to adopt internet banking in India by analyzing innovativeness and perceived risk.