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This paper aims to investigate a stereo vision-based hybrid (additive and subtractive) manufacturing process using direct laser metal deposition, computer numerical control (CNC) machining and in-process scanning to repair metallic components automatically. The focus of this work was to realize automated alignment and adaptive tool path generation that can repair metallic components after a single setup.

Stereo vision was used to detect the defect area for automated alignment. After the defect is located, a laser displacement sensor is used to scan the defect area before and after laser metal deposition. The scan is then processed by an adaptive algorithm to generate a tool path for repairing the defect.

The hybrid manufacturing processes for repairing metallic component combine the advantages of free-form fabrication from additive manufacturing with the high-accuracy offered by CNC machining. A Ti-6Al-4V component with a manufacturing defect was repaired by the proposed process. Compared to previous research on repairing worn components, introducing stereo vision and laser scanning dramatically simplifies the manual labor required to extract and reconstruct the defect area’s geometry.

This paper demonstrates an automated metallic component repair process by integrating stereo vision and a laser displacement sensor into a hybrid manufacturing system. Experimental results and microstructure analysis shows that the defect area could be repaired feasibly and efficiently with acceptable heat affected zone using the proposed approach.

The melt pool created by a laser is one of the most important factors affecting the quality of the deposit in a laser metal deposition (LMD) process. The high‐intensity infrared (IR) radiation emitted by the melt pool saturates a conventional camera sensor preventing useful data acquisition. The purpose of this paper is to discuss the development of a low‐cost vision system to monitor the size of the melt pool for in‐process quality control of the deposit.

According to the black body radiation theory, there is no radiation emitted in the ultraviolet (UV) region from the melt pool created in the LMD process. IR radiation and visible light are the only radiations inherent to the LMD process. UV illumination is utilized along with narrow band pass filters on a USB camera to achieve a clear image of the melt pool while IR radiation of the process is blocked out. The melt pool size and shape were closely monitored during the deposition process.

A clear image of the melt pool was obtained using a relatively low‐cost imaging system during laser deposition process.

Traditional approaches to vision systems in high‐intensity processes use a high‐speed video camera fitted with IR filters to prevent saturation of the camera sensor. Such systems are usually complex and expensive to run and maintain. This paper demonstrates an alternative and lower cost method to achieve in process monitoring in an LMD process.

Laser metal deposition (LMD) is a type of additive manufacturing process in which the laser is used to create a melt pool on a substrate to which metal powder is added. The powder is melted within the melt pool and solidified to form a deposited track. These deposited tracks may contain porosities or cracks which affect the functionality of the part. When these defects go undetected, they may cause failure of the part or below par performance in their applications. An on demand vision system is required to detect defects in the track as and when they are formed. This is especially crucial in LMD applications as the part being repaired is typically expensive. Using a defect detection system, it is possible to complete the LMD process in one run, thus minimizing cost. The purpose of this paper is to summarize the research on a low-cost vision system to study the deposition process and detect any thermal abnormalities which might signify the presence of a defect.

During the LMD process, the track of deposited material behind the laser is incandescent due to heating by the laser; also, there is radiant heat distribution and flow on the surfaces of the track. An SLR camera is used to obtain images of the deposited track behind the melt pool. Using calibrated RGB values and radiant surface temperature, it is possible to approximate the temperature of each pixel in the image. The deposited track loses heat gradually through conduction, convection and radiation. A defect-free deposit should show a gradual decrease in temperature which enables the authors to obtain a reference cooling curve using standard deposition parameters. A defect, such as a crack or porosity, leads to an increase in temperature around the defective region due to interruption of heat flow. This leads to deviation from the reference cooling curve which alerts the authors to the presence of a defect.

The temperature gradient was obtained across the deposited track during LMD. Linear least squares curve fitting was performed and residual values were calculated between experimental temperature values and line of best fit. Porosity defects and cracks were simulated on the substrate during LMD and irregularities in the temperature gradients were used to develop a defect detection model.

Previous approaches to defect detection in LMD typically concentrate on the melt pool temperature and dimensions. Due to the dynamic and violent nature of the melt pool, consistent and reliable defect detection is difficult. An alternative method of defect detection is discussed which does not involve the melt pool and therefore presents a novel method of detecting a defect in LMD.

Using the theory of planned behavior as its basis, the purpose of this paper is to investigate the relationships among beliefs about electronic service quality (E-S-QUAL); consumers’ need for uniqueness (CNFU); and beliefs about perceived behavioral control, expectations of important others, and cross-border online purchasing behavioral intention. The effects of E-S-QUAL and CNFU on attitude are examined with data collected from Korean consumers who have cross-border online purchasing experience.

The authors evaluate the research model in this study and test the hypotheses using partial least squares, an OLS regression-based estimation method that focuses on predicting independent variables hypothesized to have a causal relationship that maximizes the explanatory variance of the dependent variable.

Analysis of the data emphasizes that beliefs about E-S-QUAL and CNFU positively affect attitudes toward buying online from international sites, which in turn positively affect purchasing intention. Also, beliefs about self-efficacy and normative structure regarding cross-border online purchasing positively affect behavioral intentions.

This paper develops a conceptual model explaining consumers’ intentions to shop online across national borders. To the best of the authors’ knowledge, none of the previous studies have particularly mentioned the associations between beliefs about e-service quality and actual behavioral intentions in the context of cross-border online shopping. Also, the important role of CNFU has been ignored as one of the factors that can affect consumers’ decisions to shop online beyond national borders. In regard to this matter, the authors aim to investigate cross-border online shopping factors that can help international e-commerce gain a better understanding of the needs of their consumers.

This study aims to examine the hijab purchase intention of Muslim women by applying the theory of reasoned action: religious commitment, satisfaction (attitude), dressing style and knowledge source (subjective norms).

Data were collected from 603 Malay Muslim women in four universities through a self-administered questionnaire using a multi-stage cluster probability sampling technique. Smart PLS was used for data analysis.

The findings demonstrate that customers’ hijab purchase intention is significantly influenced by religious commitment, satisfaction, dressing style and knowledge source.

This study is for hijab designers because it is important for them to explore and examine the hijab purchase intention of Muslim women and then design the hijab accordingly, not only to capture a big segment in Kuala Lumpur but to obtain a competitive edge as well.

This is the first paper of its kind to examine the hijab purchase intention of Malay Muslim women.

The zero-waste lifestyle (ZWL) is considered a reasonable step towards controlling waste generation and minimizing the consequences of human activities on the environment. The main aim of this study is to examine the behavioral antecedents of ZWL.

The study draws on the theoretical underpinnings of the theory of planned behavior (TPB) and the norm activation model (NAM) to develop a conceptual framework to understand the antecedents to ZWL. A cross-sectional survey among 349 randomly-selected consumers provided data analyzed with the partial least square-structural equation modeling (PLS-SEM) methodology.

The results demonstrate that personal norms, attitude, subjective norms and perceived behavioral control positively influenced the intention to adopt ZWL. Additionally, the study showed that the awareness of consequences influenced personal norms, attitudes and subjective norms. However, the study identified an intention–behavior gap in adopting ZWL.

This study serves as a pioneering exploration of the behavioral factors that impact the adoption of ZWL. Additionally, the paper endeavors to elucidate the underlying reasons behind the intention–behavior gap within this particular context. Consequently, the study offers substantial theoretical and practical implications aimed at promoting and fostering greater adoption of ZWL practices.

In this study, Ajzen's Theory of Planned Behavior is used as a theoretical framework with the aim of extending prior research examining halal food purchasing behavior in Malaysia.

Data are collected through self‐administered questionnaires. This paper uses multiple regression analysis to identify the factors affecting halal food purchasing behavior of Malaysian consumers.

The multiple regression analysis results indicate that all factors have positive and significant influence on halal food purchasing intention.

Like other empirical studies, this study is not without its limitations. The sample size itself is relatively small. The study can be strengthened by increasing the sample size and including participants in other geographical areas. This study also considered only three antecedents of halal food purchasing among consumers in Malaysia. As Malaysia is actually trying to play for a bigger role in the halal industry, more research is needed to identify and address problematic aspects of consumption of halal food. Potential correlations between some of the independent variables (e.g. trust, moral obligation, habit, and self‐identity) need to be reported in a future study.

This study contributes to and extends our understanding of the halal food purchasing behavior, identifying the rationales for purchasing of halal foods. From a managerial viewpoint, the findings provide support for investment decisions and for decisions relating to the establishment of Malaysia as a halal hub that address and take the concerns and needs of businesses and Malaysian Government agencies into consideration.

Alexis O’Neill’s book, The Recess Queen, sparks conversations and activities that explore self-concept and identity. It teaches children how to get along with others and how to solve problems peacefully. This lesson is geared toward early childhood, but can be modified for older students. Activities and other resources are shared in this lesson plan.

This paper reports on the processes and outcomes of a collaborative self-study conducted by three beginning teacher educators who sought to examine the efficacy of their teaching practices while working with student teachers in the field. By systematically embracing opportunities to explore mutually pressing issues and concerns manifest across the student teaching semester, the authors found that collaborative self-study provided a useful framework for considering their pedagogical reasoning and decision making as they encouraged student teachers to engage in rationale-based practice. The understandings gleaned from this study provided the authors with a basis upon which to reexamine their developing teacher educator pedagogies, as well as to critique the nature and structure of their teacher education program.

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.