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This study applies the target similarity model to examine the effects of servant leadership on supervisor commitment and supervisor citizenship behavior. The mediating role of supervisory commitment is explored to determine the relationship between servant leadership and supervisor citizenship behavior. The difference in supervisor gender is examined in the linkage between servant leadership and supervisory commitment.

The data were collected through a survey of 478 salespeople in the retail industry. Structural equation modeling (SEM) techniques were used to verify the hypotheses of this study.

The findings showed significant support for the direct and indirect effects of servant leadership on supervisor commitment and supervisor citizenship behavior. Furthermore, the positive relationship between servant leadership and supervisory commitment was stronger among female supervisors than male supervisors.

Due to the scarcity of studies conducted on the linkages of servant leadership, supervisory commitment and supervisory citizenship behavior, this study theoretically and empirically contributes to the leadership literature as it is the first study to investigate these direct and indirect relationships. Similarly, this study examined gender differences in servant leadership to fill the gap in the research field.

The purpose of this paper is to design an intelligent ECG classifier using programmable IC technologies to implement many functional blocks of signal acquisition and processing in one compact device. The main microprocessor also simulates the TSK neuro-fuzzy classifier in testing mode to recognize the ECG beats. The design brings various theoretical solutions into practical applications.

The ECG signals are acquired and pre-processed using the Field-Programmable Analog Array (FPAA) IC due to the ability of precise configuration of analog parameters. The R peak of the QRS complexes and a window of 300 ms of ECG signals around the R peak are detected. In this paper we have proposed a method to extract the signal features using the Hermite decomposition algorithm, which requires only a multiplication of two matrices. Based on the features vectors, the ECG beats are classified using a TSK neuro-fuzzy network, whose parameters are trained earlier on PC and downloaded into the device. The device performance was tested with the ECG signals from the MIT-BIH database to prove the correctness of the hardware implementations.

The FPAA and Programmable System on Chip (PSoC) technologies allow us to integrate many signal processing blocks in a compact device. In this paper the device has the same performance in ECG signal processing and classifying as achieved on PC simulators. This confirms the correctness of the implementation.

The device was fully tested with the signals from the MIT-BIH databases. For new patients, we have tested the device in collecting the ECG signals and QRS detections. We have not created a new database of ECG signals, in which the beats are examined by doctors and annotated the type of the rhythm (normal or abnormal, which type of arrhythmia, etc.) so we have not tested the classification mode of the device on real ECG signals.

The compact design of an intelligent ECG classifier offers a portable solution for patients with heart diseases, which can help them to detect the arrhythmia on time when the doctors are not nearby. This type of device not only may help to improve the patients’ safety but also contribute to the smart, inter-networked life style.

The device integrate a number of solutions including software, hardware and algorithms into a single, compact device. Thank to the advance of programmable ICs such as FPAA and PSoC, the designed device can acquire one channel of ECG signals, extract the features and classify the arrhythmia type (if detected) using the neuro-fuzzy TSK network in online mode.

While the current anti-globalisation wave is considered as a regional and cyclical relapse among Western countries, the new era of globalisation has shifted away from stagnant developed economies towards the rising prosperity of emerging Asia, where it is attracting substantial global inward foreign direct investment (FDI). Focussing on Vietnam, the country that is seen as Asia’s next economic tiger, the question of how important intellectual properties (IP) protection is in the international competition for FDI inflows is still unsettled, especially on the under-researched topic of trademarks.

This paper takes on the business history approach, which allows rich evidence from the dynamic and evolving natures of multinational enterprises (MNEs) to drive the research process, so that international business scholars can test models rigorously. The evidence provided in this paper is essentially qualitative and combines trademark registrations data, with trade and FDI statistics between 1986 and 2016, also draws on companies’ archives, industry reports and related newspaper articles.

This paper provides the chronology of intellectual property right (IPR) legal landscapes and the dynamic co-evolution of trademarks and FDI inflows in Vietnam. Three trademark protection strategies for MNEs and their patterns here are addressed. The paper also argues that trademarks bring new insights and IP protection strategy for pharmaceutical MNEs for the case of Vietnam is as important in trademarks as it is in patents. In emerging markets with strong incentives for FDI such as Vietnam, MNEs are not necessarily put off by weak IPR, but rather create alternative strategies for dealing with the lack of IP protection in these emerging market settings.

This study challenges the stream of thoughts that view trademarks as a “neglected intangible asset” among different IPRs, while in fact, trademarks advance MNEs’ knowledge by ensuring competitiveness and long-run survival in emerging markets. This paper is among the first few attempts to look at pharmaceutical industry through the lens of trademarks, moving away from the traditional patent-focussed approach. It extends the understanding of OLI paradigm and highlights that MNEs need to possess Oa and Op advantages not only at the beginning of internationalisation process but rather evolving through the time to cope with imitation risks in the host country.

This chapter describes how public sector reform (PSR) became important following the ‘Doi Moi’ (renovation) programme in 1986. Restructuring of state-owned sector was regarded as crucial for ensuring the quality of economic growth, and the Vietnamese government (www.chinhphu.vn/portal/page/portal/English) put considerable effort in PSR. The 8th Party Congress (1996) emphasized the urgent need for a more transparent, capable and modern public sector, including efforts to improve law-making process and capacity, reducing burdensome bureaucracy, fighting corruption, increasing leadership by senior officials and improving public service delivery. The government specifies the national PSR Master programme, and the Ministry of Home Affairs coordinates its implementation among ministries, central agencies and provincial governments. Local political leaders (party leaders) determine reforms based on guidelines of the party and government. The author writes that in spite of ambitious public service reform programmes and some positive achievements, the quality of public sector remains poor. The professional capacity of civil service is low, pay is low, corruption is high and processes and structures seem ill-fitted for the market economy. Reform scope is too broad, the capacity of public agencies and civil servants is limited and existing monitoring, evaluation and reporting systems are weak. In some successes, leaders use appointment and promotion to encourage lower level to implement reforms and training to increase understanding. They believe that Vietnamese leadership has become less proactive and vigorous in practicing or embracing bold reform experiments.

Of critical concern to the world is the need to reduce consumption and waste of natural resources. This study provides a multi-level exploration of the ways situational and transformational links between levels and challenges are related to the adoption and utilization of material flow cost accounting in Vietnam, to encourage green productivity.

Based on triangulation of public documents at different institutional levels and a set of semi-structured interviews, situational and transformational links and challenges for material flow cost accounting in Vietnam are examined using purposive and snowball sampling of key actors.

Using a multi-level framework the research identifies six situational and transformational barriers to implementation of material flow cost accounting and suggests opportunities to overcome these. The weakest links identified involve macro-to meso-situational and micro-to macro-transformational links. The paper highlights the dominance of meso-level institutions and lack of focus on micro transformation to cut waste and enable improvements in green productivity.

The paper identifies ways for companies in Vietnam to reduce unsustainability and enable transformation towards sustainable management and waste reduction.

The paper is the first to develop and use a multi-level/multi-time period framework to examine the take-up of material flow cost accounting to encourage transformation towards green productivity. Consideration of the Vietnamese case builds understanding of the challenges for achieving United Nations Sustainable Development Goal number 12, to help enable sustainable production and consumption patterns.