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The purpose of this paper is to examine the earnings differentials between the locals and the rural–urban migrants in urban labor market in Vietnam.

Using the new Vietnam Rural-Urban Migration Survey 2013 (VRUMS2013) that is specifically designed for rural–urban migration, the author applies Appleton et al.’s (1999) procedure correcting for potential selectivity to decompose the offered earnings gap between the locals and the rural–urban migrants into within- and between-occupation pay differential. Bootstrapping is used to derive the standard errors for the decomposition results. The author further applies the propensity score matching (PSM) method to check whether the results are robust by restricting the sample to the “common support.”

Within-job difference, particularly, the favorable treatment toward urban workers contributes significantly to the overall and total unexplained earnings gap. Further, between-job pay differential attributed to the over-representation of urban workers in high-paying job also helps to widen the gap. These results are robust restricting to the “common support” sample using PSM.

Due to the sample size, occupations are only classified into three broad categories. Finer classification will allow a better comparison between the contributions of between and within-occupation to earning inequality. The data are only limited to a few cities and do not include other urban centers that also receive rural–urban migrants.

Policies to promote equal pay and alleviate within-job “discrimination,” especially the preferential treatment favoring the locals (rather than to provide equal access to different jobs) are crucial for migrants’ labor outcome. Moreover, this study can, to some extent, be seen as a timely contribution for the debate on household registration reform in general and in Vietnam specifically. Given China’s announcement to grant permanent household registration (hukou) to unregistrated migrants in late 2015, investigating whether there is a two-tier labor market in the cities in Vietnam is particularly important for the ongoing debate regarding future of household registration system (ho khau).

This is the first study in Vietnam on rural–urban migration and occupation segregation – an area that has been relatively less well studied in developing/transitional countries. Vietnam is also one of the few developing countries who have household registration system in place. This has made it an interesting case. The author uses a new survey data to apply the Appleton et al. (1999) decomposition on the offered wage gap rather than observed wage gap. Standard errors of the decomposition results are bootstrapped and a robust check using propensity score method is conducted.

The purpose of this paper is to examine the wage differentials along the entire distribution between immigrants and the Australian-born.

Using the Household, Income and Labour Dynamics in Australia (HILDA) Survey, the authors apply a semi-parametric method (DiNardo et al., 1996) to decompose the distributional wage gap between immigrants and native-born Australians into composition effect and wage structure effect. The authors further apply the unconditional quantile regression (UQR) method (Firpo et al., 2007) to decompose the overall wage structure effect into contributions from individual wage covariates.

Relative to the native-born, both effects favour immigrants from English-speaking countries. For male immigrants from non-English-speaking countries (NESC) the favourable composition effect is offset by disadvantage in the wage structure effect, leaving little overall wage difference. Female immigrants from NESC are disadvantaged at the lower part of the wage distribution.

The increasingly skill-based immigration policy in Australia has increased skill levels of immigrants relative to the Australian-born. However, the playing field may yet to be equal for the recent NESC immigrants due to unfavourable rewards to their productivity factors. Also, immigrants are not homogeneous. Countries of origin and gender matter in affecting wage outcomes.

The unique wage-setting system and the increasingly skill-based immigration policy have made Australia an interesting case. The authors examine the entire wage distribution between migrants and native-born rather than focus on the mean. The authors differentiate immigrants by their country of origin and gender; and apply the UQR decomposition to identify the contributions from individual wage covariates.

On its way to develop a smart grid in Indonesia, one key enabler in the early stage of implementation is advanced metering infrastructure (AMI). Thus, Perusahaan Listrik Negara (PLN), an electrical energy utility company owned by the government of the Republic of Indonesia as the only electricity utility company servicing customers from upstream to downstream in Indonesia, has started AMI program at some main cities. With AMI, real-time energy consumption profile, energy meter status and condition, and customer power quality can be acquired. Subsequently, these data collected by AMI can be used for further smart grid implementation by such IT systems and big data analysis. Instead of its function for smart grid backbone, AMI also significantly support smart energy on the city as a part of smart city initiatives. Nevertheless, its implementation requires more investment than the conventional metering system. This investment needs to be evaluated to define whether AMI is feasible and viable or not. This chapter is intended to observe the feasibility of AMI implementation in Indonesia using cost-benefit analysis (CBA). Two schemes were used as study objects, one scheme in which the communication infrastructure was managed by PLN itself, and the other one in which the communication infrastructure was managed by a third party. From the analysis, it appears that both schemes are proven to be feasible.

The purpose of this work is to implement an ambient intelligence (AmI) testbed to improve human sleeping conditions.

The implemented testbed is composed of the sensor node, sink node and actor node. As sensor node, the authors use a microwave sensor module (MSM) called DC6M4JN3000, which emits microwaves in the direction of a human or animal subject. These microwaves reflect back off the surface of the subject and change slightly in accordance with movements of the subject’s heart and lungs. As sink node, the authors use Raspberry Pi 3 Model B computers. In the sink node, the data are processed and then clustered by the k-means clustering algorithm. Then, the result is sent to the actor node (Reidan Shiki PAD module), which can be used for cooling and heating the bed.

The authors carried out simulations and experiments. Based on the simulation results, it was found that the room lighting, humidity and temperature have different effects on humans during sleeping. The best performance is shown when LIG parameter is 10 units, HUM parameter is 50 and TEM parameter is 25. Based on experimental results, it was found that the implemented AmI testbed has a good effect on humans during sleeping.

For simulations, three input parameters were considered. However, new parameters that affect human sleeping conditions also need to be investigated. Further, the experiments were carried out for one person. More extensive experiments with multiple people are needed to have a better evaluation.

In this research work, a new fuzzy-based system was implemented to improve human sleeping conditions. The authors presented three new input parameters to evaluate the output (sleeping condition). The authors implemented and evaluated a testbed and showed that the implemented AmI testbed has a good effect on humans during sleeping, thus improving their quality of life (QoL).

The purpose of this paper is to evaluate the application of an acoustic micro‐imaging (AMI) inspection technique in monitoring solder joints through lifetime performance and demonstrate the robustness of the monitoring through analysis of AMI data.

Accelerated thermal cycling (ATC) test data on a flip chip test board were collected through AMI imaging. Subsequently, informative features and parameters of solder joints in acoustic images were measured and analysed. Through analysing histogram distance, mean intensity and grey area of the solder joints in acoustic images, cracks between the solder bump and chip interface were tracked and monitored. The results are in accord with associated Finite Element (FE) prediction.

At defective bumps, the formation of a crack causes a larger acoustic impedance mismatch which provides a stronger ultrasound reflection. The intensity of solder joints in the acoustic image increase according to the level of damage during the ATC tests. By analysing the variation of intensity and area, solder joint fatigue failure was monitored. A failure distribution plot shows a normal distribution pattern, where corner joints have the lowest reliability and are more likely to fail first. A strong agreement between AMI monitoring test data and FE prediction was observed, demonstrating the feasibility of through lifetime monitoring of solder joints using AMI.

The paper indicates the feasibility of the novel application of AMI inspection to monitor solder joint through lifetime performance non‐destructively. Solder joints' real life conditions can be tracked by an AMI technique, hence solder joint fatigue failure cycles during the ATC tests can be monitored and analysed non‐destructively.

This chapter presents a review of the state-of-the-art in the employee perspective on mergers and acquisitions (M&As). The authors’ aim is to enhance the understanding of the role of employees in M&As. This chapter contributes by presenting a synthesis of how the employee perspective has been studied by describing the methods, the context (industry and geographic location), and publication outlets. Furthermore, this chapter contributes by synthesizing the employee perspective literature into five distinct research streams: (1) employee reactions; (2) culture; (3) communication; (4) knowledge; and (5) speed. The authors reflect on the main findings of each stream and conclude by proposing future directions for research on the role of employees in M&As to (re)generate interest in the topic.

This paper aims to propose a machine learning approach-based power theft detection using Garra Rufa Fish (GRF) optimization. Here, the analyzing of power theft is an important part to reduce the financial loss and protect the electricity from fraudulent users.

In this section, a new method is implemented to reduce the power theft in transmission lines and utility grids. The detection of power theft using smart meter with reliable manner can be achieved by the help of GRF algorithm.

The loss of power due to non-technical loss is small by using this proposed algorithm. It provides some benefits like increased predicting capacity, less complexity, high speed and high reliable output. The result is analyzed using MATLAB/Simulink platform. The result is compared with an existing method. According to the comparison result, the proposed method provides the good performance than existing method.

The proposed method gives good results of comparison than those of the other techniques and has an ability to overcome the associated problems.

In this introduction, the authors outline some critical reflections on the sociology of knowledge within management and organization theory. Based on a review of various works that form a sociology of organizational knowledge, the authors identify three approaches that have become particularly prominent ways by which scholars explore how knowledge about organizations and management is produced: First, reflective and opinion essays that organization studies scholars offer on the basis of what can be learned from personal experience; second, descriptive craft-guides that are based on more-or-less comprehensive surveys on doing research; third, papers based on systematic research that are built upon rigorous collection and analysis of data about the production of knowledge. Whereas in the studies of organizing the authors prioritize the third approach, that is knowledge produced based on systematic empirical research, in examining our own work the authors tend to privilege the other two types, reflective articles and surveys. In what follows the authors highlight this gap, offer some explanations thereof, and call for a better appreciation of all three ways to offer rich understandings of organizations, work and management as well as a fruitful sociology of knowledge in our field.

Hospitals are complex organisations accounting for most of total health expenditure. They play a critical role in providing care to patients with high levels of need. A key policy concern is that patients receive high quality care. Policymakers have attempted to influence hospital quality in different ways. This chapter focuses on three key policy levers: the extent to which hospital competition and higher hospital tariffs (of the DRG type) can stimulate quality, and whether non-profit hospitals provide higher or lower quality than for-profit ones. The chapter outlines key methodological challenges and selectively reviews the main findings from the literature. While several studies suggest that hospital competition reduces mortality rates for heart attack cases when hospital tariffs are fixed (under a DRG system), at this stage is unclear whether the effect holds across a range of quality indicators. Moreover, the limited literature on hospital mergers tends to suggest that hospital quality does not change following a merger. Finally, whether non-profit hospitals provide higher or lower quality varies across regions and institutional arrangements. The economic theory suggests several mechanisms with opposite effects on quality. To guide policy, future work needs to further unpack the various mechanisms through which these three key policy issues affect hospitals incentives.