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The aim of this chapter is to develop the measurement of corporate legitimacy among Government-linked Companies (GLCs) in Malaysia. Corporate legitimacy is important for determining the survival of the corporation. The term of legitimacy can be classified into three different aspects, namely, political, economic, and social legitimacy. Political legitimacy indicates the right to govern and rule; economic legitimacy reflects on success through product selling, customers’ satisfaction, and providing better services and goods. However, in the corporate sectors, corporate social responsibility is used as a platform not only to gain economic legitimacy, but most importantly to achieve social legitimacy. Social legitimacy focuses on corporation as a societal institution that is more complex by combining the social norms, values, and expectation. With the above argument, this chapter explores how corporate social responsibility (or corporate responsibility) can be used to show societal acceptance reflecting their corporate legitimacy. The corporations are expected to be socially acceptable according to social norms, values, and beliefs. The growth of the corporation has faced a number of challenges in gaining and maintaining their existence. While the corporations are expected to deal with the challenges effectively, the corporations must also be relevant in the eyes of the stakeholders. To establish this, corporations emphasized on gaining and maintaining legitimacy through various mechanisms. The principles of legitimacy are related to the conformity to the norms, values, and expectation of their stakeholders’ engagement through corporate social activities. The study employed a cross-sectional sample survey designed to collect data from a pre-selected list of non-governmental organization (NGOs) obtained from the Registrar of Societies, Malaysia. From a list of about 22,000 societies, 377 were shortlisted covering five categories of societies: community welfare, education, sport, social and recreation, and business and trade union. This study measured three dimensions of corporate legitimacy comprising pragmatic, moral, and cognitive legitimacy. Using Partial Least Square-Structural Equation Modeling (PLS-SEM), this study found that there is a high level of corporate legitimacy from the perspective of NGOs, which indicated that the NGOs highly view the corporate legitimacy of Malaysian GLCs through their corporate responsibility activities.

E-learning has become an increasingly prevalent learning approach in higher educational institutions due to the fast growth of internet technologies in India. This paper aims to mainly focus on evaluating the effectiveness of the e-learning experience from students’ perceptive.

“Survey” method has been used to collect the data with the help of a structured questionnaire from the students who have registered on COURSERA (www.coursera.org/) website for e-learning. The questionnaire consisted of two sections e-learning system and e-learning effectiveness. E-learning system included items related to system quality, information quality and service quality. E-learning effectiveness dimension included user satisfaction and net benefits. The items in this section were measured on a five-point Likert scale ranging from strongly disagrees to strongly agree. The data collected have been analyzed using the SPSS version 17.0 and AMOS version 21.0.

Results show that system quality and service quality contribute more in e-learning system compared to information quality. Students perception may be that information available on the website may not be very useful as it’s a one-way mode of communication. The researcher also found that the three dimensions (system quality, service quality and information quality) of e-learning system contributes to user satisfaction and net benefits. Students are satisfied with e-learning websites and intent to continue to use it in future as well. They also found it beneficial as it helps them in career growth and making them employable.

This paper proposed a second-order model of e-learning system and a second-order model e-learning effectiveness. E-learning system has been defined by three first-order constructs: a system quality, service quality and information quality. E-learning effectiveness has been defined by two first-order constructs: a user satisfaction and net benefits. The predictability of the proposed model is high to explain the impact of e-learning system on e-learning effectiveness.

MCC has been developing the use of flashlamp pulsed Nd:YAG laser technology to bond TAB leadframes to bumped IC die. With basic equipment, the process has been proven in a laboratory scale environment. As a result, MCC recently licensed a vendor to manufacture the equipment so that it can be used in prototype and later in production environments. This project was initiated to develop a benign alternative for thermocompression gang bonding, particularly for applications where IC bond pads would be located over active circuitry. In addition, because the laser beam's positions are computer controlled, the process has shown to be very desirable for bonding conventional devices with peripheral pads, especially in high product mix applications. Bond rates of 40 bonds/second have been demonstrated at MCC. The first production prototype will bond at 60–80 bonds/s and it is anticipated that, with further development, the full production equipment will bond at 200 bonds/s. The process that is most mature at the time of writing is for bonding tin plated copper leads to gold bumps. This system allows formation of reliable bonds because the formed bonds consist primarily of copper and gold. The bonds are at least as strong and reliable as with other methods of TAB bonding. Bonds with this metallurgical system have been subjected to severe environmental testing without failure. This paper will present results of laser inner lead bonding, the equipment used to develop it and the expectations of the future equipment as well as the future of the technology itself.

Argues that increased insolvencies in Korean firms following the 1997 Asian financial crisis were due to low profitability and refers to relevant research on insolvency and failure prediction. Explains and discusses the private and legal types of restructuring open to Korean firms in trouble, pointing out that owners may use more than one type and thus cause losses and delays. Suggests that the courts should be able to determine whether firms require a composition or a corporate reorganization, develops a mathematical model to distinguish between them and tests it on 1997‐1998 data demonstrating a 70 per cent plus level of accuracy. Analyses the share price response to firm restructure and shows that differences depend on the financial condition of the firm: not the type of restructure. Calls for changes in the bankruptcy law to either unify the two types of legal restructure or to allow the courts to assign the type.

Over the last few years, there has been considerable interest in developing autonomous robots that are able to move in constrained environments, inspired by the motion of lower animal forms such as parasites, worms, insects and even snakes and eels. In this paper, we describe a new design and concept of autonomous microrobot based on senseless motion. The “senseless motion” is the movement in absence of an external perception system. In a lot of living species, rhythmic movements, finalized to locomotion, are produced by oscillating circuits in the central nervous system. We reproduced this motion using a voice‐coil actuator embedded with its control hardware in a cylinder presents on its external surface a skate‐like structure produces a differential friction in order to move the robot on different substrates. Preliminary experiments have been carried out on several materials in order to measure the frictional forces produced by the robot during its motion and to verify the repeatability of senseless motion.

This paper aims to propose a view similarity-based shape complexity metric to guide part selection for additive manufacturing (AM) and advance the goals of design for AM. The metric helps to improve the selection process by objectively screening a large number of parts and identifying the parts most suited for AM and enabling experts to prioritize parts from a smaller set based on relevant subjective/contextual factors.

The methodology involves calculating a part’s shape complexity based on the concept of view similarity, that is, the similarity of different views of the outer shape and internal cross-sectional geometry. The combined shape complexity metric (weighted sum of the external shape and internal structure complexity) has been used to rank various three dimensional (3D) models. The metric has been tested for its sensitivity to various input parameters and thresholds are suggested for effective results. The proposed metric’s applicability for part selection has also been investigated and compared with the existing metric-based part selection.

The proposed shape complexity metric can distinguish the parts of different shapes, sizes and parts with minor design variations. The method is also efficient regarding the amount of data and computation required to facilitate the part selection. The proposed method can detect differences in the mass properties of a 3D model without evaluating the modified parameters. The proposed metric is effective in initial screening of a large number of parts in new product development and for redesign using AM.

The proposed metric is sensitive to input parameters, such as the number of viewpoints, design orientation, image resolution and different lattice structures. To address this issue, this study suggests thresholds for each input parameter for optimum results.

This paper evaluates shape complexity using view similarity to rank parts for prototyping or redesigning with AM.

The purpose of this paper is to investigate the effects of zinc (Zn) nanoparticles on the interfacial intermetallic compounds (IMCs) between Sn‐3.8Ag‐0.7Cu (SAC) solder and Cu substrate during multiple reflow.

The nanocomposite solders were prepared by manually mixing of SAC solder paste with varying amounts of Zn nanoparticles. The solder pastes were reflowed on a hotplate at 250°C for 45 s for up to six times. The actual Zn content after reflow was analyzed by inductively coupled plasma‐optical emission spectroscopy (ICP‐OES). The wetting behavior of the solders was characterized by analyzing the contact angles and spreading rates according to the Japanese Industrial Standard (JIS 23198‐3, 2003). The interfacial microstructure of the solder joints were investigated by field emission scanning electron microscope (FESEM) and energy dispersive X‐ray spectroscopy (EDAX).

It was found that upon the addition of 0.3 wt% Zn nanoparticles to the SAC solder, the growth of interfacial intermetallic compound (IMC) layers was retarded to a minimum value. Excessive amount of Zn nanoparticles (0.8 wt%) induced an additional IMC layer (Cu₅Zn₈) which increased the total IMC thickness and raising the reliability issue.

It is concluded that Zn nanoparticles undergo melting/reaction during reflow and impart their effect on the IMCs through alloying effects.

Objects fabricated using additive manufacturing (AM) technologies often suffer from dimensional accuracy issues and other part-specific problems. This study aims to present a framework for estimating the printability of a computer-aided design (CAD) model that expresses the probability that the model is fabricated correctly via an AM technology for a specific application.

This study predicts the dimensional deviations of the manufactured object per vertex and per part using a machine learning approach. The input to the error prediction artificial neural network (ANN) is per vertex information extracted from the mesh of the model to be manufactured. The output of the ANN is the estimated average per vertex error for the fabricated object. This error is then used along with other global and per part information in a framework for estimating the printability of the model, that is, the probability of being fabricated correctly on a certain AM technology, for a specific application domain.

A thorough experimental evaluation was conducted on binder jetting technology for both the error prediction approach and the printability estimation framework.

This study presents a method for predicting dimensional errors with high accuracy and a completely novel approach for estimating the probability of a CAD model to be fabricated without significant failures or errors that make it inappropriate for a specific application.

From a consumer–brand relationship (CBR) perspective, this study proposes a serial multiple mediation model to explore the pathways (e.g. cognitive, affective and hybrid) to increase online celebrity brand equity (OCBE) and follower's hotel booking intentions (FBI).

Paper-based and online surveys were used to collect data from 443 respondents who had been using TikTok and had followed at least one online celebrity on TikTok, while that online celebrity had reviewed one or more types of accommodation. A serial multiple mediation model was evaluated through covariance-based structural equation modeling.

The results confirmed the hybrid cognitive–affective and cognitive–affective–conative pathways among antecedents and components of OCBE and FBI.

From a CBR perspective, this study provides a serial multiple mediation model to increase OCBE via hybrid cognitive–affective pathways and to drive FBI via cognitive–affective–conative pathways. These sequential relationships contribute to the human branding literature by defining a mechanism of how online celebrities can efficiently attract followers, thus driving online celebrity brand loyalty and hotel booking intentions.

The results should be validated in other cultural contexts to generalize findings and broaden the range of target respondents to include international followers and those within other nations.

This paper aims to empirically explore the extent to which actual use intensity of mobile internet (MI) access is influenced by factual use conditions and evaluative perceptions of MI adopters. Furthermore, it analyzes relationships between this usage behavior and mobile voice call as well as SMS activity quantities at the individual customer level.

Indicators of actual MI, voice call and SMS use intensity were obtained for a sample of 443 MI customers of a mobile network operator (MNO) in Germany. The objective behavioral measures were integrated with adopter responses collected through a standardized telephone survey.

Factual MI use conditions (MI tariff type and appliance class, fixed broadband internet home access) were significant predictors of MI use intensity, whereas MI‐related evaluative perceptions (e.g. MI value assessment) were not. Distributions of MI, voice telephony, and SMS use intensities were highly skewed. A small group of users disproportionately contributed to the total MI traffic generated by the sample. Most customers use MI only to a limited extent after the initial adoption. MI use intensity was not significantly correlated with mobile voice communication or SMS activity levels.

The study included data only from early MI subscribers of one MNO in a single country. The system‐captured MI use intensity indicator did not distinguish between different variants of MI services. Measures of factual MI use circumstances were not very fine‐grained. Common potential perceptual antecedents of MI acceptance (e.g. usefulness, ease of use) were excluded due to constraints imposed by the collaborating MNO.

The research indicates that MNO should consider promoting MI use intensity by offering “packages” that encompass a flat rate and a laptop at special bundle prices. Further, MNO are well‐advised to develop activities which discourage customers who do not already have a fixed broadband access at home from the acquisition of such an installation in the future. Finally, managers are urged to critically reflect the validity of single rater studies on MI acceptance before drawing practical conclusions from this type of work.

The contributions of this paper result from the exploration of actual usage behaviors of MI adopters and the integration of system‐captured use intensity measures with survey responses. This approach is seminal in better understanding limitations of purely questionnaire‐based investigations on use of mobile communication services in general and MI in particular. Additionally, the study demonstrates the importance of considering factual MI use circumstances as factors shaping MI use intensity.