Mian Zhang and Xiyue Ma
The overall goal of this chapter is twofold. First, the authors aim to identify indigenous phenomena that influence employee turnover and retention in the Chinese context. Second…
Abstract
The overall goal of this chapter is twofold. First, the authors aim to identify indigenous phenomena that influence employee turnover and retention in the Chinese context. Second, the authors link these phenomena to the contextualization of job embeddedness theory. To achieve the goal, the authors begin by introducing three macro-level forces (i.e., political, economic, and cultural forces) in China that help scholars analyze contextual issues in turnover studies. The authors then provide findings in the literature research on employee retention studies published in Chinese academic journals. Next, the authors discuss six indigenous phenomena (i.e., hukou, community in China, migrant workers, state-owned companies, family benefit prioritization, and guanxi) under the three macro-level forces and offer exploratory propositions illustrating how these phenomena contribute to understanding employee retention in China. Finally, the authors offer suggestions on how contextualized turnover studies shall be conducted in China.
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Birol Yıldız and Şafak Ağdeniz
Purpose: The main aim of the study is to provide a tool for non-financial information in decision-making. We analysed the non-financial data in the annual reports in order to show…
Abstract
Purpose: The main aim of the study is to provide a tool for non-financial information in decision-making. We analysed the non-financial data in the annual reports in order to show the usage of this information in financial decision processes.
Need for the Study: Main financial reports such as balance sheets and income statements can be analysed by statistical methods. However, an expanded financial reporting framework needs new analysing methods due to unstructured and big data. The study offers a solution to the analysis problem that comes with non-financial reporting, which is an essential communication tool in corporate reporting.
Methodology: Text mining analysis of annual reports is conducted using software named R. To simplify the problem, we try to predict the companies’ corporate governance qualifications using text mining. K Nearest Neighbor, Naive Bayes and Decision Tree machine learning algorithms were used.
Findings: Our analysis illustrates that K Nearest Neighbor has classified the highest number of correct classifications by 85%, compared to 50% for the random walk. The empirical evidence suggests that text mining can be used by all stakeholders as a financial analysis method.
Practical Implications: Combining financial statement analyses with financial reporting analyses will decrease the information asymmetry between the company and stakeholders. So stakeholders can make more accurate decisions. Analysis of non-financial data with text mining will provide a decisive competitive advantage, especially for investors to make the right decisions. This method will lead to allocating scarce resources more effectively. Another contribution of the study is that stakeholders can predict the corporate governance qualification of the company from the annual reports even if it does not include in the Corporate Governance Index (CGI).
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Yi-Tsai Chung, Tung Liang Liao and Yi-Chein Chiang
The relative performance of five popular nonzero-investment strategies, including Size, book-to-market ratios, earnings-to-price (E/P) ratios, cash flow-to-price (CF/P) ratios and…
Abstract
Purpose
The relative performance of five popular nonzero-investment strategies, including Size, book-to-market ratios, earnings-to-price (E/P) ratios, cash flow-to-price (CF/P) ratios and dividend-to-price ratios, and their corresponding zero-investment strategies (also known as premiums) are first examined altogether for equally weighted (EW) and value-weighted (VW) methods to check whether a certain strategy (or some strategies) could be recommended to portfolio managers as the best (better) strategy (strategies). The paper aims to discuss these issues.
Design/methodology/approach
This paper uses the stochastic dominance (SD) approach, a non-parametric test, to investigate the relative performance among various strategies and help investors search for the best or better strategy (strategies).
Findings
The main results show that both the highest E/P and CF/P strategies (and their corresponding premiums) generally produce higher returns than the other three strategies (and their corresponding premiums) through allocating investors’ capital between the risky and risk-free assets for the EW and VW methods, respectively.
Research limitations/implications
This study only examines US stock markets by SD approach, whether the results are consistent with non-US markets still needs further investigation. The findings imply that investors can benefit by investing in the highest E/P or CF/P stocks (or their corresponding premiums) to make more profit or less loss for US stock markets.
Practical implications
First, the SD findings suggest that investors or portfolio managers can allocate their funds between risky and risk-free assets to maximize their profits. Next, the simulation results again prove that the profits of each nonzero-investment or zero-investment strategy for EW portfolios are higher than those of each corresponding strategy for VW portfolios. Finally, the findings imply that portfolio managers or investors can invest in the highest E/P or CF/P stocks (or their corresponding premiums) to make more profit or less loss.
Originality/value
This study first uses an extensive data set (1952-2009) to examine the relative performance of nonzero-investment strategies and their corresponding zero-investment strategies for the five popular indicators altogether for the EW and VW methods with the SD approach for US stock markets. Moreover, the results reveal that the investors or portfolio managers can invest in the highest E/P and/or CF/P portfolios (or their corresponding premiums) to make more profit or less loss.
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Zhoufeng Liu, Chunlei Li, Quanjun Zhao, Liang Liao and Yan Dong
Fabric defect detection plays an important role in textile quality control. The purpose of this paper is to propose a fabric defect detection algorithm via context-based local…
Abstract
Purpose
Fabric defect detection plays an important role in textile quality control. The purpose of this paper is to propose a fabric defect detection algorithm via context-based local texture saliency analysis.
Design/methodology/approach
In the proposed algorithm, a target image is first divided into blocks, then the Local Binary Pattern (LBP) technique is used to extract the texture features of blocks. Second, for a given image block, several other blocks are randomly chosen for calculating the LBP contrast between a given block and the randomly chosen blocks. Based on the obtained contrast information, a saliency map is produced. Finally, saliency map is segmented by using an optimal threshold, which is obtained by an iterative approach.
Findings
The experimental results show that the proposed algorithm, integrating local texture features and global image texture information, can detect texture defects effectively.
Originality/value
In this paper, a novel fabric defect detection algorithm via context-based local texture saliency analysis is proposed.
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Jitendra B. Zalke, Sandeepkumar R. Pandey, Ruchir V. Nandanwar, Atharva Sandeep Pande and Pravin Balu Nikam
The purpose of this research paper is to explore the possibility to enhance the power transfer from piezoelectric energy harvester (PEH) source to the load. As the proposed…
Abstract
Purpose
The purpose of this research paper is to explore the possibility to enhance the power transfer from piezoelectric energy harvester (PEH) source to the load. As the proposed gyrator-induced voltage flip technique (GIVFT) does not require bulky components such as physical inductors, it is easily realizable in small integrated circuits (IC) package thereby offering performance benefits, reducing area overhead and providing cost benefits for constrained self-powered autonomous Internet-of-Things (IoT) applications.
Design/methodology/approach
This paper presents an inductorless interface circuit for PEH. The proposed technique is called GIVFT and is demonstrated using active elements. The authors use gyrator to induce voltage flip at the output side of PEH to enhance the charge extraction from PEH. The proposed technique uses the current-voltage (I-V) relationship of gyrator to get appropriate phasor response necessary to induce the voltage flip at the output of PEH to gain power transfer enhancement at the load.
Findings
The experimental results show the efficacy of the GIVFT realization for enhanced power extraction. The authors have compared their proposed design with popular earlier reported interface circuits. Experimentally measured performance improvement is 1.86×higher than the baseline comparison of full-wave bridge rectifier circuit. The authors demonstrated a voltage flip using GIVFT to gain power transfer improvement in piezoelectric energy harvesting.
Originality/value
To the best of the authors’ knowledge, pertaining to the field of PEH, this is the first reported GIVFT based on the I-V relationship of the gyrator. The proposed approach could be useful for constrained self-powered autonomous IoT applications, and it could be of importance in guiding the design of new interface circuits for PEH.
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Rajbala Rajbala, Pawan Kumar Singh Nain and Avadhesh Kumar
Purpose: Technological innovations and frameworks that provide a framework for unification have evolved to improve information exchange across organisational units and information…
Abstract
Purpose: Technological innovations and frameworks that provide a framework for unification have evolved to improve information exchange across organisational units and information security. These integration technologies share and communicate information using defined protocols and different data. Service-oriented architecture (SOA) is a significant emerging approach that enables modular design solution construction.
Methodology: These designs are beneficial when many apps operating on different architectures and networks need to connect. A well-defined strategy and company-specific guidelines are essential for ensuring the firm’s systematic adoption of such an architecture. The critical components of MASSOASCM ‘(Multi-Agent System Service Oriented Architecture Supply Chain Management’ are a multi-agent system (MAS), a service-oriented structure, and supplier management. The MASSOASCM model has been made, and a production unit has been made to show how it works.
Findings: It has been stated that it saves development costs, and inventory management, all of which are critical concerns in any company. Our goal is to create an inventory control approach that relies on MAS and SOA but also a simulation that demonstrates how it works and may enhance Supply Chain Management (SCM) productivity in a production plant.
Practical Implications: The SCM implementation comprises three different services: SCM, SOA, and MAS. These facilities are constructed, maintained, planned, and implemented individually before being brought together collectively using MAS and SOA techniques.
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Mei-Chu Ke, Jian-Hsin Chou, Chin-Shan Hsieh, Tsung-Li Chi, Cheng-Te Chen and Tung Liang Liao
This study uses stochastic dominance (SD) theory to examine whether the traditional festival, such as the Spring Festival (often in February), affects the patterns of monthly…
Abstract
Purpose
This study uses stochastic dominance (SD) theory to examine whether the traditional festival, such as the Spring Festival (often in February), affects the patterns of monthly anomaly for the Taiwan Stock Exchange (TWSE). The paper aims to discuss these issues.
Design/methodology/approach
The authors employ a new bootstrap-based test due to Linton, Maasoumi and Whang (hereafter LMW). The LMW test is well suited for financial time series data, such as monthly returns of various portfolios in this study, because it allows for general dependence among the prospects (distributions) and does not require the observations to be identically and independently distributed.
Findings
The particular findings of this study are that the February effect and the February-size effect indeed exist in the TWSE. Furthermore, allowing part of investors' assets is invested in the risky asset and the remaining part in a risk-free asset, first finding for monthly anomaly in the extant literature, is useful in distinguishing the performance among various size-month portfolios.
Originality/value
Instead of tax-loss and window dressing hypothesis, the Spring Festival money movement hypothesis can be used to well explain the findings.
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Shazia Nauman, Connie Zheng and Ameer A. Basit
This study contributes to the leadership literature by examining how and when despotic leadership jeopardizes employees' performance. Specifically, we examine whether employees'…
Abstract
Purpose
This study contributes to the leadership literature by examining how and when despotic leadership jeopardizes employees' performance. Specifically, we examine whether employees' job performance could be harmed by despotic supervision through employees' work withdrawal behaviour. Moreover, we investigate whether the quality of work-life (QWL) helps in toning down the harmful effects of despotic supervision on work withdrawal.
Design/methodology/approach
We used a multi-wave research design with data collected from 195 employees and their supervisors working in Pakistan's manufacturing sector. At time 1, we measured the independent variable (i.e. despotic leadership) and moderator (QWL), whereas, at time-2, the mediator (work withdrawal) was tapped by the same respondent with a time interval of three weeks between them. At time 3, the outcome (supervisor-rated job performance) was assessed directly by the supervisors.
Findings
The results support the mediating effect between despotic leadership and employees' performance through an enhanced level of work withdrawal behaviour. The effect of despotic leadership on job performance via work withdrawal behaviour was found to be weaker among employees with a higher level of QWL.
Practical implications
For individuals, QWL serves as an enhancement of personal resources to deal with despotic leaders at the workplace; for organizations, our study results alert managers and leaders at the workplace to address employees' need for QWL as this positive resource may discourage work withdrawal behaviour and stimulate employees to perform well in their jobs despite facing despotic supervision.
Originality/value
This study contributes to the leadership literature by introducing work withdrawal as an underlying mechanism to explain the despotic leadership – job performance relationship. Further, we examined how the harmful effects of despotic leadership can be toned down through the moderating variable of QWL thus having practical implications for both employers and employees.