Junbin Wang, Xiaowei Dong, Yu Xiong, Umair Tanveer and Changping Zhao
This study explores how factors arising from supply chain (SC) network and complexity work together in supply chain learning (SCL) behavior.
Abstract
Purpose
This study explores how factors arising from supply chain (SC) network and complexity work together in supply chain learning (SCL) behavior.
Design/methodology/approach
Fuzzy set qualitative comparative analysis, which is an emerging configurational analysis method, was adopted to examine the complex combination of five influencing factors. The data were collected using a two-stage survey. First, the authors selected seven typical firms with an awareness of SCL. Second, questionnaires were sent to the partners of the seven selected firms, and 156 valid questionnaires were obtained from 76 firms.
Findings
Drawing on emergent insights from the initiative, the authors find that multiple configurations of SC network and complexity lead to high SCL. Specifically, weak ties are necessary conditions of such learning, while strong ties are also conducive to this. Moreover, a moderate SC complexity is conducive to SCL.
Practical implications
This study enriches the understanding of SCL and provides new insights for SC management practitioners to take measures to improve it.
Originality/value
This study addresses the lack of in-depth understanding of the antecedent conditions of SCL in the literature. It establishes an integrated and comprehensive theoretical framework of such learning based on contingency theory. Additionally, this study incorporates ambidextrous SCL (i.e. creation capability and dispersion capacity). An overall prototype of SCL capability is proposed on SC network and complexity theory.
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Chao Yu, Haiying Li, Xinyue Xu and Qi Sun
During rush hours, many passengers find it difficult to board the first train due to the insufficient capacity of metro vehicles, namely, left behind phenomenon. In this paper, a…
Abstract
Purpose
During rush hours, many passengers find it difficult to board the first train due to the insufficient capacity of metro vehicles, namely, left behind phenomenon. In this paper, a data-driven approach is presented to estimate left-behind patterns using automatic fare collection (AFC) data and train timetable data.
Design/methodology/approach
First, a data preprocessing method is introduced to obtain the waiting time of passengers at the target station. Second, a hierarchical Bayesian (HB) model is proposed to describe the left behind phenomenon, in which the waiting time is expressed as a Gaussian mixture model. Then a sampling algorithm based on Markov Chain Monte Carlo (MCMC) is developed to estimate the parameters in the model. Third, a case of Beijing metro system is taken as an application of the proposed method.
Findings
The comparison result shows that the proposed method performs better in estimating left behind patterns than the existing Maximum Likelihood Estimation. Finally, three main reasons for left behind phenomenon are summarized to make relevant strategies for metro managers.
Originality/value
First, an HB model is constructed to describe the left behind phenomenon in a target station and in the target direction on the basis of AFC data and train timetable data. Second, a MCMC-based sampling method Metropolis–Hasting algorithm is proposed to estimate the model parameters and obtain the quantitative results of left behind patterns. Third, a case of Beijing metro is presented as an application to test the applicability and accuracy of the proposed method.
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Xiaona Pang, Wenguang Yang, Wenjing Miao, Hanyu Zhou and Rui Min
Through the scientific and reasonable evaluation of the site selection of the emergency material reserve, the optimal site selection scheme is found, which provides reference for…
Abstract
Purpose
Through the scientific and reasonable evaluation of the site selection of the emergency material reserve, the optimal site selection scheme is found, which provides reference for the future emergency decision-making research.
Design/methodology/approach
In this paper, we have chosen three primary indicators and twelve secondary indicators to construct an assessment framework for the determination of suitable locations for storing emergency material reserves. By mean of the improved entropy weight-order relationship weight determination method, the evaluation model of kullback leibler-technique for order preference by similarity to an ideal solution (KL-TOPSIS) emergency material reserve location based on relative entropy is established. On this basis, 10 regional storage sites in Beijing are selected for evaluation.
Findings
The results show that the evaluation model of the location of emergency material reserve not only respects the objective knowledge, but also considers the subjective information of the experts, which makes the ranking result of the location of the emergency material reserve more accurate and reliable.
Originality/value
Firstly, the modification factor is added to the calculation formula of traditional entropy weight method to complete the improvement of entropy weight method. Secondly, the order relation analysis method is used to assign subjective weights to the indicators. The principle of minimum information entropy is introduced to determine the comprehensive weight of the index. Finally, KL distance and TOPSIS method are combined to determine the relative entropy and proximity degree of alternative solutions and positive and negative ideal solutions, and the scientific and effective of the method is proved by case study.
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Qiao Zhang and Ke Wang
The purpose of this paper is to assess the production risk for winter wheat producers in Beijing, China, particularly in its 13 districts.
Abstract
Purpose
The purpose of this paper is to assess the production risk for winter wheat producers in Beijing, China, particularly in its 13 districts.
Design/methodology/approach
A parametric approach is used to model wheat‐yield distribution for samples and the Kolmogorov‐Smirnov test is used to choose the most appropriate yield distribution. Parameters of the special yield distribution are estimated through the maximum likelihood estimation approach.
Findings
The Burr distribution is found to be the most appropriate parametric distribution to model winter wheat‐production risks for the districts of Beijing, except in the districts of Fengtai and Shunyi. Findings also show that the Johnson family distribution is the most appropriate model for these two districts (SB for the Fengtai District and SU for the Shunyi District). The wheat‐production loss ratios of the Beijing districts are between 6 and 15 percent, which is considered medium range in most regions. The highest production risks are located in the Western regions of Beijing (Mentougou and Fengtai) while the lowest production risk is located in the Southeastern region of Beijing (Daxing District).
Originality/value
To generate an objective yield trend and an accurate production risk assessment, linear moving average, instead of linear (or quadratic) regression, is used in this paper.
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This paper aims to address challenges in strategic management and tries to find ways to make a breakthrough. Strategic management theorists and practitioners need new scientific…
Abstract
Purpose
This paper aims to address challenges in strategic management and tries to find ways to make a breakthrough. Strategic management theorists and practitioners need new scientific theories. In the modern turbulent environment, the extant strategic management research (SMR) and strategic management theories can neither satisfy the practical needs nor the theoretical developmental needs of strategic management.
Design/methodology/approach
The paper uses critique viewpoints that are unfolded according to the logic of how theories will satisfy the practical and theoretical needs. Physics and mathematics are regarded as the most beautiful and perfect scientific research fields, which help predict physical phenomena such as solar eclipse precisely. Therefore, the paper uses physics and mathematics as benchmarks to explore how SMR should make efforts to push the research further.
Findings
The paper provides a different viewpoint that will help strategic theorists and practitioners investigate and understand strategic phenomena more holistically. SMR should contribute to strategic theoretical and practical progress and not just to the game of academic game play. For the goal, the paper summarizes and refines the definition of strategic management in an alternative but practical and innovative perspective, and then delineates the criteria for SMR topic choice; identifies the dilemmas and challenges the SMR faces; and points out the new approaches the strategic management researchers should explore.
Originality/value
The paper challenges the mainstream of SMR by identifying the shortcomings, dilemmas, and challenges of the current SMR, and then highlights new ways to make breakthrough in SMR. The study will make strategic management scholars rethink their research and do meaningful research from the perspectives of theoretical contribution and practical guidance.
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K.C. Fung and Nathalie Aminian
In this paper, the authors aim to examine some characteristics of the innovation system and policy in France and China. For comparison, they also highlight some high technology…
Abstract
Purpose
In this paper, the authors aim to examine some characteristics of the innovation system and policy in France and China. For comparison, they also highlight some high technology features of Silicon Valley and California.
Design/methodology/approach
The authors study the characteristics of innovation in France and in China. The authors examine the technology systems and policies in both countries and compare their features with those in Silicon Valley.
Findings
As far as France is concerned, it can be stated that the innovation system and policy are under transformation, going from a strong state involvement to a more decentralized framework. This evolution leads to a multi-level governance of the innovation system and to the emergence of new actors. For China, the most interesting development in China is the evolution of its internet-related sector. The authors argue here that the internet-driven economy is a radical, systemic technological change and it is rapidly growing in China.
Originality/value
One of the earliest papers comparing the innovation policies and activities in France, China and Silicon Valley.
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This study aims to optimize the traffic capacity allocation to solve the problem of low share of public transit in the landside system so as to get rid of the congestion trouble…
Abstract
Purpose
This study aims to optimize the traffic capacity allocation to solve the problem of low share of public transit in the landside system so as to get rid of the congestion trouble in landside traffic. The optimal timetable for airport buses can be searched by changing the departure interval of each line and evaluating the corresponding performance continuously.
Design/methodology/approach
This paper constructs a simulation model based on the real-world situation in Beijing Capital International Airport (BCIA), which simulates the whole process of airport bus schedules and analyzes the connections among multiple steps for transferring. The evaluation system is constructed by considering the benefits of passengers, airports and companies comprehensively. The optimal timetable for airport buses can be searched by changing the departure interval of each line and evaluating the corresponding performance continuously.
Findings
According to the experimental results, an excellent evacuation effect can only be achieved when the majority of departure intervals of airport buses are shortened to 50% of their original values, and some busy routes such as the Beijing Station line are supposed to be reduced to one-third of their original fixed intervals. As the airport bus passenger flow presents an obviously periodic variation over days, the timetable of the airport bus is supposed to be redesigned every day. A flexible bus timetable can not only meet the dynamic passenger flow but also enhance the attractiveness of public transit.
Originality/value
This paper constructs a simulation model based on the real-world situation in BCIA, which can not only model the complex scenes in the whole process of airport bus schedules but also reflect the intricate interaction between transferring passengers and vehicles caused by dense streamlines.
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Chunxia Yu, Zhiqin Zou, Yifan Shao and Fengli Zhang
The purpose of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the artificial neural network (ANN)…
Abstract
Purpose
The purpose of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the artificial neural network (ANN), analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) methods.
Design/methodology/approach
In the proposed approach, the ANN model is used to classify decision maker’s risk attitude; the fuzzy AHP method is used to determine the relative weights of evaluation criteria; and the fuzzy TOPSIS method is used to evaluate ratings of suppliers. Finally, experiments are conducted to verify the feasibility and efficiency of the proposed integrated approach.
Findings
Experiments results show that the proposed integrated approach is effective and efficient to help decision makers to select suitable suppliers according to their risk attitudes.
Originality/value
The aim of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the ANN, AHP and TOPSIS methods. The decision maker’s risk attitude toward procurement transaction is originally considered in supplier selection process.
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Biao Zhang, Zetian Fu, Jieqiong Wang, Xiaolin Tang, Yousen Zhao and Lingxian Zhang
Farmers’ selection of vegetable marketing channels directly affects their income and is important to stable vegetable supply and food control. The purpose of this paper is to…
Abstract
Purpose
Farmers’ selection of vegetable marketing channels directly affects their income and is important to stable vegetable supply and food control. The purpose of this paper is to investigate the farmers’ selection behavior of vegetable marketing channels, and to determine the key factors which affected farmer’ decision making.
Design/methodology/approach
A total of 191 valid questionnaires were collected from 50 villages in seven main vegetable production districts in Beijing urban areas from September to December 2015, yielding a response rate of 86.8 percent. The multinomial logit model was used for analysis in this study.
Findings
The results revealed that the farmers mainly selected farmers’ market, cooperative, and wholesaler to sell their vegetables, which comprised 96.57 percent of total vegetable sales. Estimation results showed that cooperative, vegetable acreage, price satisfaction, and slow sales were most important factors which influence positively the probability of opting to sell vegetables at a cooperative rather than at the farmer’s market. For wholesalers, gender of the household head and cooperative had most significantly negative effect, and age had a positive impact on farmer’s choice of market channels.
Originality/value
The results and implications obtained in the present study could help policymakers to establish a scientific-based and reasonable policy to encourage vegetable producers to participate in the circulation of vegetables in Beijing and guarantee their income in vegetable supply chain. The suggestions of this study could also be used for the improvement of the vegetable sector in other cities facing similar issues.
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Anna Trunina, Xielin Liu and Jian Chen
The purpose of this paper is to contribute to the understanding of similarities and differences between small and medium technology enterprises of Zhongguancun in China and…
Abstract
Purpose
The purpose of this paper is to contribute to the understanding of similarities and differences between small and medium technology enterprises of Zhongguancun in China and Silicon Valley in the USA in the following aspects of their activities: scale, diversity and the strength of entrepreneurial networks; quality of collaboration network; reputation in the sense of stakeholders’ perception at the local market; and foreign networks.
Design/methodology/approach
The study uses a survey method. The analysis of variance statistical technique was applied to each aspect.
Findings
The investigation reveals that Chinese companies have more stakeholders among relatives and friends, government, universities, accounting/law, as well as collaborate more with competitors and suppliers, while the US companies have more and collaborate diverse relations with its clients. In America, companies tend to trust their partners more than they do in China. For Chinese companies, the local government appraises business more than the USA. Employees from the US companies also take more pride in telling others that they are members of the business. Domestic customers positively rate business products. Chinese companies actually have better access to foreign resources than the USA and collaborate more with their foreign stakeholders.
Practical implications
Understanding the distinctive features of each regional system is crucial for the success of small and medium technology enterprises for both Chinese and US entrepreneurs.
Originality/value
This paper is a pioneer in the comparison and analysis of the two regions.