Jing Zhou and Christina E Shalley
The examination of contextual factors that enhance or stifle employees’ creative performance is a new but rapidly growing research area. Theory and research in this area have…
Abstract
The examination of contextual factors that enhance or stifle employees’ creative performance is a new but rapidly growing research area. Theory and research in this area have focused on antecedents of employee creativity. In this paper, we review and discuss the major theoretical frameworks that have served as conceptual foundations for empirical studies. We then provide a review and critical appraisal of these empirical studies. Based on this review, we propose exciting possibilities for future research directions. Finally, we discuss implications of this body of work for human resource management.
Abstract
Purpose
Siphon-based deadlock control in a flexible manufacturing system (FMS) suffers from the problems of computational and structural complexity since the number of siphons grows exponentially with respect to the size of its Petri net model. In order to reduce structural complexity of a supervisor, a set of elementary siphons derived from all strict minimal siphons (SMS) is explicitly controlled. The purpose of this paper is through fully investigating the structure of a class of generalized Petri nets, WS3PR, to compute all SMS and a compact set of elementary siphons.
Design/methodology/approach
Based on graph theory, the concepts of initial resource weighted digraphs and restricted subgraphs are proposed. Moreover, the concept of augmented siphons is proposed to extend the application of elementary siphons theory for WS3PR. Consequently, the set of elementary siphons obtained by the proposed method is more compact and well suits for WS3PR.
Findings
In order to demonstrate the proposed method, an FMS example is presented. All SMS and elementary siphons can be derived from initial resource weighted digraphs. Compared with those obtained by the method in Li and Zhou, the presented method is more effective to design a structural simple liveness-enforcing supervisor for WS3PR.
Originality/value
This work presents an effective method of computing SMS and elementary siphons for WS3PR. Monitors are added for the elementary siphons only, and the controllability of every dependent siphon is ensured by properly supervising its elementary ones. A same set of elementary siphons can be admitted by different WS3PR with isomorphic structures.
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Fuli Zhou, Panpan Ma, Yandong He, Saurabh Pratap, Peng Yu and Biyu Yang
With an increasingly fierce competition of the shipbuilding industry, advanced technologies and excellent management philosophies in the manufacturing industry are gradually…
Abstract
Purpose
With an increasingly fierce competition of the shipbuilding industry, advanced technologies and excellent management philosophies in the manufacturing industry are gradually introduced to domestic shipyards. The purpose of this study is to promote the lean management of Chinese ship outfitting plants by lean production strategy.
Design/methodology/approach
To promote the lean implementation of Chinese shipyards, the lean practice of ship-pipe part production is highlighted by lot-sizing optimization and strategic CONWIP (constant work-in-process) control. A nonlinear programming model is formulated to minimize the total cost of ship-pipe part manufacturing and the particle swarm optimization (PSO)-based algorithm is designed to resolve the established model. Besides, the pull-from-the-bottleneck (PFB) strategy is used to control ship-pipe part production, verified by Simulink simulation.
Findings
Results show that the proposed lean strategy of the programming model and strategic PFB control could assist Chinese ship outfitting plants to leverage competitive advantage by waste reduction and lean achievement. Specifically, the PFB double-loop control strategy shows better performance when there is high productivity and the PFB single-loop control outperforms at lower productivity scenarios.
Practical implications
To verify the effectiveness of the proposed lean strategy, a case study is performed to validate the formulated model. Also, simulation experiments realized by FlexSim software are conducted to testify results obtained by the constructed programming model.
Originality/value
Lean production management practice of the shipyard building industry is performed by the proposed lean production strategy through lot-sizing optimization and strategic PFB control in terms of ship-pipe part manufacturing.
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This study contributes to the limited and rather fragmented research on mobile payment (m-payment) within a post-adoption context by identifying individual characteristics…
Abstract
Purpose
This study contributes to the limited and rather fragmented research on mobile payment (m-payment) within a post-adoption context by identifying individual characteristics (personal innovativeness and m-payment self-efficacy) and m-payment quality characteristics (system quality, information quality and service quality) that can influence expectations about performance and effort of this technology. These two outcome expectations may affect user satisfaction with m-payment, which will in turn influence users' continued intention to use this technology.
Design/methodology/approach
A survey was carried out among university students in the United Arab Emirates who have used the m-payment method. Structural equation modeling technique was used to test and analyze both the measurement model and the structural model.
Findings
Individual characteristics are important in establishing users' expectations of the ease of use and usefulness of m-payment. However, of the quality characteristics, only system quality significantly affected users' expectations of the ease of use and usefulness of m-payment.
Originality/value
The findings of this study provide unique insights into the individual and quality characteristics that will eventually lead to continued intention to use m-payment. This will help businesses to develop appropriate marketing strategies to increase adoption and use of m-payment.
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Lijun (Gillian) Lei, Yutao Li and Yan Luo
The emergence of social media as a corporate disclosure channel has caused significant changes in the production and dissemination of corporate information. This review identifies…
Abstract
The emergence of social media as a corporate disclosure channel has caused significant changes in the production and dissemination of corporate information. This review identifies important themes in recent research on the impact of social media on the corporate information environment and provides suggestions for further explorations of this new but fast-growing area of research. Specifically, we first review the evolution of Internet-based corporate disclosure and related regulations, and then focus on three recent streams of research: 1) companies’ use of social media; 2) information produced by non-corporate users and its impact on capital markets; and 3) the credibility of corporate information on social media platforms.
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Fuli Zhou, Ming K. Lim, Yandong He and Saurabh Pratap
The increasingly booming e-commerce development has stimulated vehicle consumers to express individual reviews through online forum. The purpose of this paper is to probe into the…
Abstract
Purpose
The increasingly booming e-commerce development has stimulated vehicle consumers to express individual reviews through online forum. The purpose of this paper is to probe into the vehicle consumer consumption behavior and make recommendations for potential consumers from textual comments viewpoint.
Design/methodology/approach
A big data analytic-based approach is designed to discover vehicle consumer consumption behavior from online perspective. To reduce subjectivity of expert-based approaches, a parallel Naïve Bayes approach is designed to analyze the sentiment analysis, and the Saaty scale-based (SSC) scoring rule is employed to obtain specific sentimental value of attribute class, contributing to the multi-grade sentiment classification. To achieve the intelligent recommendation for potential vehicle customers, a novel SSC-VIKOR approach is developed to prioritize vehicle brand candidates from a big data analytical viewpoint.
Findings
The big data analytics argue that “cost-effectiveness” characteristic is the most important factor that vehicle consumers care, and the data mining results enable automakers to better understand consumer consumption behavior.
Research limitations/implications
The case study illustrates the effectiveness of the integrated method, contributing to much more precise operations management on marketing strategy, quality improvement and intelligent recommendation.
Originality/value
Researches of consumer consumption behavior are usually based on survey-based methods, and mostly previous studies about comments analysis focus on binary analysis. The hybrid SSC-VIKOR approach is developed to fill the gap from the big data perspective.
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Mike W. Peng and Grace T. Peng
In the absence of well-developed, formal institutional frameworks, informal network-based strategies have been argued to be especially viable in emerging economies. However, some…
Abstract
In the absence of well-developed, formal institutional frameworks, informal network-based strategies have been argued to be especially viable in emerging economies. However, some empirical research has challenged these earlier theoretical arguments. In light of new evidence, this chapter develops a contingency perspective differentiating firms' networks as strong ties and weak ties. It suggests that while strong-tie networks are typically found during the early phase of institutional transitions, weak-tie networks are more likely to be developed and leveraged during the late phase of transitions. The upshot is that as the performance benefits of strong ties decline during institutional transitions, emerging weak ties' impact on firm performance is likely to increase.
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Fuli Zhou, Yandong He, Panpan Ma and Raj V. Mahto
The booming of the Internet of things (IoT) and artificial intelligence (AI) techniques contributes to knowledge adoption and management innovation for the healthcare industry. It…
Abstract
Purpose
The booming of the Internet of things (IoT) and artificial intelligence (AI) techniques contributes to knowledge adoption and management innovation for the healthcare industry. It is of great significance to transport the medical resources to required places in an efficient way. However, it is difficult to exactly discover matched transportation resources and deliver to its destination due to the heterogeneity. This paper studies the medical transportation resource discovery mechanism, leading to efficiency improvement and operational innovation.
Design/methodology/approach
To solve the transportation resource semantic discovery problem under the novel cloud environment, the ontology modelling approach is used for both transportation resources and tasks information modes. Besides, medical transportation resource discovery mechanism is proposed, and resource matching rules are designed including three stages: filtering reasoning, QoS-based matching and user preferences-based rank to satisfy personalized demands of users. Furthermore, description logic rules are built to express the developed matching rules.
Findings
An organizational transportation case is taken as an example to describe the medical transportation logistics resource semantic discovery process under cloud medical service scenario. Results derived from the proposed semantic discovery mechanism could assist operators to find the most suitable resources.
Research limitations/implications
The case study validates the effectiveness of the developed transportation resource semantic discovery mechanism, contributing to knowledge management innovation for the medical logistics industry.
Originality/value
To improve task-resource matching accuracy under cloud scenario, this study develops a transportation resource semantic discovery procedure from the viewpoint of knowledge management. The novel knowledge management practice contributes to operational management of the cloud medical logistics service by introducing ontology modelling and creative management.
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Peixu He, Hanhui Zhou, Cuiling Jiang, Amitabh Anand and Qiongyao Zhou
The key to preventing employees from engaging in deceptive knowledge hiding is fostering a responsible environment. Drawing on social cognitive theory, this study aims to explore…
Abstract
Purpose
The key to preventing employees from engaging in deceptive knowledge hiding is fostering a responsible environment. Drawing on social cognitive theory, this study aims to explore the factors that inhibit deceptive knowledge hiding and to construct potential pathways for enhancing individual moral cognition. This study further analyzes the moderating effect of leader–follower value congruence on these relationships.
Design/methodology/approach
Using data from 341 full-time employees in various service industries in China, this study conducted path analysis, the product-of-coefficients method and bootstrapping to test the hypotheses through a three-stage, time-lagged survey.
Findings
The empirical results show that responsible leadership is negatively associated with employees’ deceptive knowledge hiding. Employee moral reflectiveness mediates this relationship, whereas leader–follower value congruence moderates the indirect effect of responsible leadership on deceptive knowledge hiding through moral reflectiveness.
Originality/value
First, this study extends field research by introducing positive leadership factors to reduce deceptive knowledge hiding, whereas prior studies focused mainly on negative leadership antecedents. Second, this study sheds light on the underlying moral cognitive mechanisms and explains how responsible leadership can prevent implicit unethical behavior. Third, it reveals how leader–follower value congruence can enhance the impact of responsible leadership on moral reflectiveness, offering novel insights into the role of value-based fit in reducing deceptive knowledge hiding.