Qingjuan Wang, Rick D. Hackett, Yiming Zhang and Xun Cui
The purpose of this paper is to examine a varied set of personal characteristics (i.e. cultural values tied to Confucianism, Big Five personality attributes and test experience…
Abstract
Purpose
The purpose of this paper is to examine a varied set of personal characteristics (i.e. cultural values tied to Confucianism, Big Five personality attributes and test experience) for their combined ability to predict job applicants’ expected and experienced procedural fairness in the context of personnel selection.
Design/methodology/approach
A total of 324 applicants were surveyed as part of a process to select entry-level positions at a large IT manufacturing company in eastern China. Data were gathered in two waves, such that applicants’ personal characteristics and fairness expectations were obtained prior to their perceptions of procedural fairness, which were collected after the selection interview.
Findings
Confucian values, neuroticism, conscientiousness and test experience all predicted applicants’ procedural fairness expectations. Only test experience had both direct and indirect effects on procedural justice perceptions. All other effects involving personal characteristics and experience of procedural fairness were mediated by applicants’ fairness expectations.
Research limitations/implications
The demonstration of the impact of a varied set of personal characteristics on applicants’ perceptions of procedural fairness is consistent with theory-driven models intended to understand and predict these perceptions. The findings suggest, among other considerations, that multinational businesses cannot assume that a standardized approach to selection will be viewed in the same manner by applicants across national contexts.
Originality/value
The authors show, in an operational employee selection context, how a varied set of personal characteristics can usefully combine to predict applicants’ procedural fairness expectations, as well as their experience of procedural fairness.
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James Yiming Zhang, Jing Wu, Gregor v. Bochmann and Michel Savoie
The purpose of this paper is to present the benefits of using the Lagrangian relaxation (LR) and subgradient methods in scenario studies for wavelength division multiplexing (WDM…
Abstract
Purpose
The purpose of this paper is to present the benefits of using the Lagrangian relaxation (LR) and subgradient methods in scenario studies for wavelength division multiplexing (WDM) network planning. The problem of WDM network planning for a given set of lightpath demands in a mesh topology network is to select lightpath routes and then allocate wavelength channels to the lightpaths. In WDM network planning, a scenario study is to find out the network performance under different lightpath demands and/or different network resource configurations.
Design/methodology/approach
A scenario study must solve a series of related static WDM network planning problems. Each static WDM network planning problem is an optimization problem, and may be formulated as an integer linear programming problem, which can be solved by the proposed Lagrangian relaxation and subgradient methods. This paper uses the Lagrange multipliers that are obtained from previous scenarios as initial Lagrange multiplier values for other related scenarios.
Findings
This approach dramatically reduces the computation time for related scenarios. For small to medium variations of scenarios, the method reduces the computation time by several folds. The proposed method is the first method that effectively considers the relations between related scenarios, and uses such relations to improve the computation efficiency of scenario studies in WDM network planning.
Practical implications
The method improves the efficiency of a scenario study in WDM network planning. By using it, many “what‐if” type of scenario study questions can be answered quickly.
Originality/value
Unlike other existing methods that treat each scenario individually, this method effectively uses the information of the relation between different scenarios to improve the overall computation efficiency.
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Zhizhou Wu, Yiming Zhang, Guishan Tan and Jia Hu
Traffic density is one of the most important parameters to consider in the traffic operation field. Owing to limited data sources, traditional methods cannot extract traffic…
Abstract
Purpose
Traffic density is one of the most important parameters to consider in the traffic operation field. Owing to limited data sources, traditional methods cannot extract traffic density directly. In the vehicular ad hoc network (VANET) environment, the vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) interaction technologies create better conditions for collecting the whole time-space and refined traffic data, which provides a new approach to solving this problem.
Design/methodology/approach
On that basis, a real-time traffic density extraction method has been proposed, including lane density, segment density and network density. Meanwhile, using SUMO and OMNet++ as traffic simulator and network simulator, respectively, the Veins framework as middleware and the two-way coupling VANET simulation platform was constructed.
Findings
Based on the simulation platform, a simulated intersection in Shanghai was developed to investigate the adaptability of the model.
Originality/value
Most research studies use separate simulation methods, importing trace data obtained by using from the simulation software to the communication simulation software. In this paper, the tight coupling simulation method is applied. Using real-time data and history data, the research focuses on the establishment and validation of the traffic density extraction model.
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Qingjuan Wang, Rick D. Hackett, Xun Cui and Yiming Zhang
The purpose of this paper is to examine Chinese traditionality as a predictor of applicants' procedural fairness perceptions in selection, and both its direct and indirect…
Abstract
Purpose
The purpose of this paper is to examine Chinese traditionality as a predictor of applicants' procedural fairness perceptions in selection, and both its direct and indirect relationship with applicants' recommending behavior, job performance and turnover intention three to four months post hire. Traditionality, as a moderator of perceptions‐outcomes relationships, is also tested.
Design/methodology/approach
Survey data of 218 supervisor‐subordinate dyads were collected from Mainland Chinese organizations. Data were gathered in two waves, with demographic and traditionality measures taken at time 1, and supervisory ratings of performance, recommending behavior and intention to turnover taken at time 2.
Findings
One component of traditionality alone (Respect for Authority) positively predicted applicants' procedural fairness perceptions. These perceptions, in turn, predicted recommending behavior (+), job performance (+) and turnover intentions (−). There were also direct relationships between Respect for Authority and both job performance (+) and turnover intention (−). The data failed to support the moderating effect of Chinese traditionality on the relationships between procedural fairness perceptions and outcome variables.
Research limitations/implications
Despite the methodological strengths of this study, the study is cross‐sectional in nature which weakens causal inferences regarding the relationships in the theoretical model. Moreover, the paper does not investigate empirically the concrete mechanisms from Chinese traditionality to fairness perceptions and from fairness perceptions to outcome variables, since its foci are the predicting and moderating roles of Chinese traditionality.
Originality/value
The paper's findings underscore the importance of Respect for Authority as the key and only component of Chinese traditionality that predicts procedural justice perceptions and worker outcomes.
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Kai Jia, Martin Kenney and John Zysman
The recent emergence of Chinese digital platform firms, whose size rivals that of the US platform giants, has attracted much popular interest. Given the size and increasing…
Abstract
The recent emergence of Chinese digital platform firms, whose size rivals that of the US platform giants, has attracted much popular interest. Given the size and increasing technical sophistication of these firms, there has been increasing interest in whether they have developed sufficient capacities and resources to become global-class competitors for the reigning US platform giants. The authors assembled a database of all overseas operations of the Chinese platform firms. Nine of them have foreign operations, with Tencent and Alibaba being the most important offshore investors. The authors describe the globalization patterns of these firms and analyze the strengths and obstacles to their globalization. Their globalization has proceeded on a number of vectors: first, these firms, with a few exceptions, when they have global strategies, have largely invested in firms with useful technology or content. One common strategy has been to follow Chinese customers abroad. Second, Chinese firms have made equity investments in a number of foreign Internet firms. And yet, in nearly all foreign markets, Chinese websites and apps still trail the US firms in market share and salience. Finally, Chinese investments are concentrated in proximate countries. Chinese platform firms, while having some state-of-the-art technologies, have a far smaller foreign presence than their US competitors do. Finally, the authors consider the implications of their research for discussions of whether emerging nation multinational firms require new theories for explaining their globalization.
Details
Keywords
In doing so, the president gave himself 75 days to find a buyer for all or part of the popular app.
Details
DOI: 10.1108/OXAN-DB292384
ISSN: 2633-304X
Keywords
Geographic
Topical
Many individuals start a new firm each year, mainly intending to become independent or improve their financial situation. For most of them, the first years of operations mean a…
Abstract
Purpose
Many individuals start a new firm each year, mainly intending to become independent or improve their financial situation. For most of them, the first years of operations mean a substantial investment of time, effort and money with highly insecure outcomes. This study aims to explore how entrepreneurs running new firms perform financially compared with the established ones and how this situation influences their well-being.
Design/methodology/approach
A questionnaire survey was completed in 2021 and 2022 by a representative sample of N = 1136 solo self-employed and microentrepreneurs in the Czech Republic, with dependent self-employed excluded. This study used multiple regressions for data analysis.
Findings
Early-stage entrepreneurs are less satisfied with their financial situation, have lower disposable income and report more significant financial problems than their established counterparts. The situation is even worse for the subsample of startups. However, this study also finds they do not have lower well-being than established entrepreneurs. While a worse financial situation is generally negatively related to well-being, being a startup founder moderates this link. Startup founders can maintain a good level of well-being even in financial struggles.
Practical implications
The results suggest that policies should focus on reducing the costs related to start-up activities. Further, policy support should not be restricted to new technological firms. Startups from all fields should be eligible to receive support, provided that they meet the milestones of their development. For entrepreneurship education, this study‘s results support action-oriented approaches that help build entrepreneurs’ self-efficacy while making them aware of cognitive biases common in entrepreneurship. This study also underscores that effectuation or lean startup approaches help entrepreneurs develop their startups efficiently and not deprive themselves of resources because of their unjustified overconfidence.
Originality/value
This study contributes to a better understanding of the financial situation and well-being of founders of new firms and, specifically, startups. The personal financial situation of startup founders has been a largely underexplored issue. Compared with other entrepreneurs, this study finds that startup founders are, as individuals, in the worst financial situation. Their well-being remains, however, on a comparable level with that of other entrepreneurs.
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Shuping Zhao, Shuyu Liu, Yuguang Xie, Peiyu Zhou, Wenxing Lu and Yiming Ma
The purpose of this paper is to explore the impact of multidimensional perceived value and perceived pressure on physicians’ continuous intention to use (CIU) online health…
Abstract
Purpose
The purpose of this paper is to explore the impact of multidimensional perceived value and perceived pressure on physicians’ continuous intention to use (CIU) online health communities (OHCs) based on perceived value (PV) theory and conservation of resources (COR) theory.
Design/methodology/approach
This study developed a research model to test the proposed hypotheses, and the proposed model was tested using partial least squares structural equation modelling (PLS-SEM) for which data were collected from 481 physicians with OHC experience using an online survey.
Findings
The empirical results show the following: (1) Physicians’ CIU is influenced by perceived value and perceived pressure, with attitude towards OHCs using (ATU) playing a crucial role in the pathways. (2) Additional value, work pressure, peer pressure and social pressure have a positive impact on CIU, with consultation value, relationship value, work pressure and peer pressure positively influencing CIU through ATU as a mediator. (3) Reputation value has a positive effect on CIU moderated by seniority (online seniority and offline seniority).
Originality/value
This study emphasises the importance of different dimensions of perceived value and perceived pressure in CIU. Meanwhile, we broaden the research scope of PV theory and COR theory and provide inspiration to OHC managers and healthcare institution managers.
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Yiming Zhao, Jin Zhang, Xue Xia and Taowen Le
The purpose of this paper is to evaluate Google question-answering (QA) quality.
Abstract
Purpose
The purpose of this paper is to evaluate Google question-answering (QA) quality.
Design/methodology/approach
Given the large variety and complexity of Google answer boxes in search result pages, existing evaluation criteria for both search engines and QA systems seemed unsuitable. This study developed an evaluation criteria system for the evaluation of Google QA quality by coding and analyzing search results of questions from a representative question set. The study then evaluated Google’s overall QA quality as well as QA quality across four target types and across six question types, using the newly developed criteria system. ANOVA and Tukey tests were used to compare QA quality among different target types and question types.
Findings
It was found that Google provided significantly higher-quality answers to person-related questions than to thing-related, event-related and organization-related questions. Google also provided significantly higher-quality answers to where- questions than to who-, what- and how-questions. The more specific a question is, the higher the QA quality would be.
Research limitations/implications
Suggestions for both search engine users and designers are presented to help enhance user experience and QA quality.
Originality/value
Particularly suitable for search engine QA quality analysis, the newly developed evaluation criteria system expanded and enriched assessment metrics of both search engines and QA systems.