Naiwei Chen, Ho-Chyuan Chen and Shih-Yu Lin
Prior research mostly focuses on the effect of over-education on happiness, whereas the effect of under-education on happiness has received minimal attention. In addition, no…
Abstract
Purpose
Prior research mostly focuses on the effect of over-education on happiness, whereas the effect of under-education on happiness has received minimal attention. In addition, no research to date has examined the effect of both over- and under-education on happiness by using a full spectrum of workers. Thus, the purpose of this paper is to fill this research gap.
Design/methodology/approach
The ordered probit model is estimated to examine the effect of the education–occupation mismatch on happiness based on 2012 survey data from Taiwan.
Findings
The results generally indicate that over-education positively affects happiness, whereas under-education has a minimal effect. The effect of the education–occupation mismatch on happiness also varies with different age groups. Specifically, over-education positively affects happiness except for workers aged 42 and above, whereas negative effects of under-education are found only among workers aged between 32 and 42 when their social network is insufficiently extensive. Moreover, a worker’s social network as a non-pecuniary factor, rather than income as a pecuniary factor, is a major channel through which education enhances happiness.
Originality/value
Given the limited and mixed evidence on the relationship between over-education and happiness, this study contributes to the existing literature by examining whether and how the education–occupation mismatch (over- and under-education) affects the happiness of workers both directly and indirectly via pecuniary and non-pecuniary factors. The research issue remains unexplored to date. Addressing such a question should help explain the persistent trend in pursuing higher education in Taiwan, although highly educated people may suffer from unemployment and an education–occupation mismatch.
Peer review
The peer review history for this paper is available at: https://publons.com/publon/10.1108/IJSE-04-2019-0283
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Shih-Yu Wang, Jack Shih-Chieh Hsu, Yuzhu Li and Tung-Ching Lin
The purpose of this paper is to gain a clear understanding of the impact of uncommon use of knowledge (adaptation and augmentation) on the performance of information systems (IS…
Abstract
Purpose
The purpose of this paper is to gain a clear understanding of the impact of uncommon use of knowledge (adaptation and augmentation) on the performance of information systems (IS) departments, and to explore the effects of human-resources management (HRM) practices on uncommon use of knowledge.
Design/methodology/approach
A questionnaire-based survey was used to measure the constructs of the research model. A survey package was delivered to project managers or team leads and 133 responses were returned.
Findings
The empirical results indicate that knowledge adaptation has a significant effect on departmental performance, whereas knowledge augmentation is more important to innovation than to routine departmental performance. The results also show that, while knowledge adaptation can be enhanced by communication and an uncertainty-avoidance culture, knowledge augmentation is an outcome of shared decision-making, the use of teams, and innovation-based policies.
Research limitations/implications
Given the positive impact of uncommon use of knowledge on IS department performance, future research should explore other factors besides HRM practices to boost it.
Practical implications
The results can serve as guidance for managers looking to select HRM practices to promote uncommon use of knowledge.
Originality/value
This study introduces knowledge adaptation and knowledge augmentation as the component processes of uncommon use of knowledge to the IS discipline, and empirically validates the antecedents and consequences of uncommon use of knowledge using survey data.
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Isabella Maria Weber and Gregor Semieniuk
American radical economists in the 1960s perceived China under Maoism as an important experiment in creating a new society, aspects of which they hoped could serve as a model for…
Abstract
American radical economists in the 1960s perceived China under Maoism as an important experiment in creating a new society, aspects of which they hoped could serve as a model for the developing world. But the knowledge of “actually existing Maoism” was very limited due to the mutual isolation between China and the US. This chapter analyses the First Friendship Delegation of American Radical Political Economists (FFDARPE) to the People’s Republic of China in 1972, consisting mainly of Union for Radical Political Economics (URPE) members, which was the first visit of a group of American economists to China since 1949. Based on interviews with trip participants as well as archival and published material, this chapter studies what we can learn about the engagement with Maoism by American radical economists from their dialogues with Chinese hosts, from their on-the-ground observations, and their reflection upon return. We show how the visitors’ own ideas conflicted and intersected with their perception of the Maoist practice on gender relations, workers’ management, and life in the communes. We also shed light on the diverging conceptions of the role for economic expertise between URPE and late Maoism. As the first in-depth study on the FFDARPE, we provide rich empirical insights into an ice-breaking event in the larger process of normalization in the Sino-US relations, which ultimately led to the disillusionment of the Left with China.
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The purpose of this paper is to investigate the relationships among leader-member exchange (LMX) quality, social interaction, and the effectiveness of knowledge transfer.
Abstract
Purpose
The purpose of this paper is to investigate the relationships among leader-member exchange (LMX) quality, social interaction, and the effectiveness of knowledge transfer.
Design/methodology/approach
This study used a paired questionnaire to collect 209 valid sets of paired data, consisting of responses from 37 Taiwanese supervisors and their 209 Chinese subordinates at 35 Taiwanese manufacturing firms located in Mainland China. The proposed hypotheses were tested with the application of a two-step approach of PLS-SEM analysis.
Findings
The results of this study showed that LMX quality and social interaction are positively associated with effective knowledge transfer, and most importantly, it found that social interaction between Taiwanese managers and their subordinates has a full mediating effect on this relationship.
Research limitations/implications
The data were collected from a dyad supervisor-subordinate relationship; thus, future research is encouraged to collect data from peer co-worker relationships. The findings, however, suggested that organizations should provide a supportive environment where a good supervisor-subordinate relationship can be created for the enhancement of knowledge transfer.
Practical implications
The study suggested that managers should work to develop high-quality LMX relationships with their subordinates, as this can enhance social interaction among employees and facilitate more effective knowledge transfer.
Originality/value
The paper applied a four-level training evaluation model to assess the effectiveness of knowledge transfer which has never been done before, and found that both LMX quality and social interaction affect how well individuals can acquire knowledge.
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Yu-Yuan Shih, Meng-Chun Liu and Chih-An Lin
The China-plus-one strategy is an increasingly attractive supply chain risk management strategy and has been adopted by many multinational enterprises. However, relevant research…
Abstract
Purpose
The China-plus-one strategy is an increasingly attractive supply chain risk management strategy and has been adopted by many multinational enterprises. However, relevant research remains limited and warrants empirical validation. This paper addresses this research gap by investigating the determinants of emerging multinational enterprises’ adoption of a China-plus-one strategy.
Design/methodology/approach
The China-plus-one adoption decision of 1,527 firms was predicted using a logistic model based on Taiwan’s official data – Investigation of Foreign Sales and Manufacturing, for the years 2020–2022. This database is administered by the Department of Statistics of the Ministry of Economic Affairs (DSMEA) in Taiwan. Analysis was conducted using SPSS 25.0.
Findings
It is suggested that customer pressure and supplier relocation, functioning as push forces, lead to the China-plus-one strategy adopted by Taiwanese firms. Regarding pull forces, lower production cost has a positive association with China-plus-one adoption, whereas sufficient local workforce supply does not have a significant effect. Finally, in terms of the mooring forces, local sales performance is negatively related to the strategy adoption, whereas local access to components shows a positive association with such strategy.
Originality/value
This research uniquely adopts the push–pull–mooring framework to examine factors affecting supply chain restructuring in international business, representing a novel domain for this framework.
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D.K. Sharma, B.K. Kaushik and R.K. Sharma
The purpose of this paper is to explore the functioning of very‐large‐scale integration (VLSI) interconnects and modeling of interconnects and evaluate different approaches of…
Abstract
Purpose
The purpose of this paper is to explore the functioning of very‐large‐scale integration (VLSI) interconnects and modeling of interconnects and evaluate different approaches of testing interconnects.
Design/methodology/approach
In the past, on‐chip interconnect wires were not considered in circuit analysis except in high precision analysis. Wiring‐up of on‐chip devices takes place through various conductors produced during fabrication process. The shrinking size of metal‐oxide semiconductor field effect transistor devices is largely responsible for growth of VLSI circuits. With deep sub‐micron (DSM) technology, the interconnect geometry is scaled down for high wiring density. The complex geometry of interconnects and high operational frequency introduce wire parasitics and inter‐wire parasitics. These parasitics causes delay, power dissipation, and crosstalk that may affect the signal integrity in VLSI system. Accurate analysis, sophisticated design, and effective test methods are the requirement to ensure the proper functionality and reliability of VLSI circuits. The testing of interconnect is becoming important and a challenge in the current technology.
Findings
The effects of interconnect on signal integrity, power dissipation, and delay emerges significantly in DSM technology. For proper performance of the circuit, testing of interconnect is important and emerging challenge in the nanotechnology era. Although some work has been done for testing of interconnect, however, it is still an open area to test the parasitics effects of VLSI/ultra‐large‐scale integration interconnects. Efforts are required to analyze and to develop test methods for crosstalk, delay and power dissipation in current technology with solutions to minimize this effect.
Originality/value
This paper reviews the functioning of VLSI interconnects from micrometer to nanometer technology. The development of various interconnect models from simple short circuit to latest resistance inductance capacitance transmission line model are discussed. Furthermore, various methodologies such as built‐in self test and other techniques for testing interconnect for crosstalk and delay are discussed.
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Nearly a century ago, Max Weber studied Chinese lineage system and argued that the power of the patriarchal sib impeded the emergence of industrial capitalism in China. Recently…
Abstract
Nearly a century ago, Max Weber studied Chinese lineage system and argued that the power of the patriarchal sib impeded the emergence of industrial capitalism in China. Recently, Martin Whyte re-evaluated Weber's thesis on the basis of development studies and argued that, rather than an obstacle, Chinese family pattern and lineage ties may have facilitated the economic growth in China since the 1980s. This paper empirically tests the competing hypotheses by focusing on the relationship between lineage networks and the development of rural enterprises. Analyses of village-level data show that lineage networks, measured by proportion of most common surnames, have large positive effects on the count of entrepreneurs and total workforce size of private enterprises in rural China.