Chao Yang, Cui Huang, Jun Su and Shutao Wang
The paper aims to explore whether topic analysis (identification of the core contents, trends and topic distribution in the target field) can be performed using a more low-cost…
Abstract
Purpose
The paper aims to explore whether topic analysis (identification of the core contents, trends and topic distribution in the target field) can be performed using a more low-cost and easily applicable method that relies on a small dataset, and how we can obtain this small dataset based on the features of the publications.
Design/methodology/approach
The paper proposes a topic analysis method based on prolific and authoritative researchers (PARs). First, the authors identify PARs in a specific discipline by considering the number of publications and citations of authors. Based on the research publications of PARs (small dataset), the authors then construct a keyword co-occurrence network and perform a topic analysis. Finally, the authors compare the method with the traditional method.
Findings
The authors found that using a small dataset (only 6.47% of the complete dataset in our experiment) for topic analysis yields relatively high-quality and reliable results. The comparison analysis reveals that the proposed method is quite similar to the results of traditional large dataset analysis in terms of publication time distribution, research areas, core keywords and keyword network density.
Research limitations/implications
Expert opinions are needed in determining the parameters of PARs identification algorithm. The proposed method may neglect the publications of junior researchers and its biases should be discussed.
Practical implications
This paper gives a practical way on how to implement disciplinary analysis based on a small dataset, and how to identify this dataset by proposing a PARs-based topic analysis method. The proposed method presents a useful view of the data based on PARs that can produce results comparable to traditional method, and thus will improve the effectiveness and cost of interdisciplinary topic analysis.
Originality/value
This paper proposes a PARs-based topic analysis method and verifies that topic analysis can be performed using a small dataset.
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Arsum Pathak, Philip E. van Beynen, Fenda A. Akiwumi and Kenyon C. Lindeman
Tourism, a critical economic sector for Small Island Developing States (SIDS), is extremely vulnerable to climate change. It has been becoming increasingly evident that strategic…
Abstract
Tourism, a critical economic sector for Small Island Developing States (SIDS), is extremely vulnerable to climate change. It has been becoming increasingly evident that strategic planning is essential for the sector to manage future impacts of climate change. This study examines the climate change considerations in the tourism sector of The Bahamas with a specific focus on adaptation policies by exploring the perspectives of key actors. Facing similar climate vulnerabilities as many other SIDS, The Bahamas was chosen because it is a mature tourism destination that provides an avenue for existing policy innovations. In-depth, semi-structured interviews were conducted with eight policy actors from the government, tourism associations, and nongovernmental organizations in the country. The findings revealed that these stakeholders have a good knowledge of climate change. However, planning for tourism and climate change is fragmented, with most climate policies formulated with the scope of mitigation, such as greenhouse gas reduction strategies. In addition, the policy implementation faces many gaps common to SIDS, such as funding and human capacity. At present, the strategic planning for future tourism targets sustainable eco-tourism markets. Based on our findings, we provide recommendations such as leveraging public officials' knowledge of climate change, steering locally relevant adaptation measures, and directing immediate attention toward projects in the pipeline to ensure timely, long-term, and effective planning. The study adds to the current knowledge of climate change in the tourism policy context for The Bahamas with implications for other SIDS.
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Liang Ren, Zerong Zhou, Yaping Fu, Ao Liu and Yunfeng Ma
This study aims to examine the impact of the decision makers’ risk preference on logistics routing problem, contributing to logistics behavior analysis and route integration…
Abstract
Purpose
This study aims to examine the impact of the decision makers’ risk preference on logistics routing problem, contributing to logistics behavior analysis and route integration optimization under uncertain environment. Due to the unexpected events and complex environment in modern logistics operations, the logistics process is full of uncertainty. Based on the chance function of satisfying the transportation time and cost requirements, this paper focuses on the fourth party logistics routing integrated optimization problem considering the chance preference of decision makers from the perspective of satisfaction.
Design/methodology/approach
This study used the quantitative method to investigate the relationship between route decision making and human behavior. The cumulative prospect theory is used to describe the loss, gain and utility function based on confidence levels. A mathematical model and an improved ant colony algorithm are employed to solve the problems. Numerical examples show the effectiveness of the proposed model and algorithm.
Findings
The study’s findings reveal that the dual-population improvement strategy enhances the algorithm’s global search capability and the improved algorithm can solve the risk model quickly, verifying the effectiveness of the improvement method. Moreover, the decision-maker is more sensitive to losses, and the utility obtained when considering decision-makers' risk attitudes is greater than that obtained when the decision-maker exhibits risk neutrality.
Practical implications
In an uncertain environment, the logistics decision maker’s risk preference directly affects decision making. Different parameter combinations in the proposed model could be set for decision-makers with different risk attitudes to fit their needs more accurately. This could help managers design effective transportation plans and improve service levels. In addition, the improved algorithm can solve the proposed problem quickly, stably and effectively, so as to help the decision maker to make the logistics path decision quickly according to the required confidence level.
Originality/value
Considering the uncertainty in logistics and the risk behavior of decision makers, this paper studies integrated routing problem from the perspective of opportunity preference. Based on the chance function of satisfying the transportation time and cost requirements, a fourth party logistics routing integrated optimization problem model considering the chance preference of decision makers is established. According to the characteristics of the problem, an improved dual-population ant colony algorithm is designed to solve the proposed model. Numerical examples show the effectiveness the proposed methods.
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This paper examines diverging views on the Chongqing model, the policy experiment led by Bo Xilai from 2007 to 2012 that was famous for its “red songs” and the campaign against…
Abstract
This paper examines diverging views on the Chongqing model, the policy experiment led by Bo Xilai from 2007 to 2012 that was famous for its “red songs” and the campaign against organized crime. It has impressed both the supporters of socialist identity of China and the supporters of liberal identity and led to an intense debate concerning China’s path of development. This paper attempts to discuss and clarify to what extent the Chongqing model represented a genuine socialist experiment and the implications of the model for China’s future.
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Jiaxin Ye, Huixiang Xiong, Jinpeng Guo and Xuan Meng
The purpose of this study is to investigate how book group recommendations can be used as a meaningful way to suggest suitable books to users, given the increasing number of…
Abstract
Purpose
The purpose of this study is to investigate how book group recommendations can be used as a meaningful way to suggest suitable books to users, given the increasing number of individuals engaging in sharing and discussing books on the web.
Design/methodology/approach
The authors propose reviews fine-grained classification (CFGC) and its related models such as CFGC1 for book group recommendation. These models can categorize reviews successively by function and role. Constructing the BERT-BiLSTM model to classify the reviews by function. The frequency characteristics of the reviews are mined by word frequency analysis, and the relationship between reviews and total book score is mined by correlation analysis. Then, the reviews are classified into three roles: celebrity, general and passerby. Finally, the authors can form user groups, mine group features and combine group features with book fine-grained ratings to make book group recommendations.
Findings
Overall, the best recommendations are made by Synopsis comments, with the accuracy, recall, F-value and Hellinger distance of 52.9%, 60.0%, 56.3% and 0.163, respectively. The F1 index of the recommendations based on the author and the writing comments is improved by 2.5% and 0.4%, respectively, compared to the Synopsis comments.
Originality/value
Previous studies on book recommendation often recommend relevant books for users by mining the similarity between books, so the set of book recommendations recommended to users, especially to groups, always focuses on the few types. The proposed method can effectively ensure the diversity of recommendations by mining users’ tendency to different review attributes of books and recommending books for the groups. In addition, this study also investigates which types of reviews should be used to make book recommendations when targeting groups with specific tendencies.
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Shizhen Wang, Huanchun Huang, Cui Hao, Lei Cao and Ting Liu
Green space is one of the main measures to alleviate urban heat islands (UHI). The transformation mechanism of daytime and nighttime scale sensitivity of vegetation coverage to…
Abstract
Green space is one of the main measures to alleviate urban heat islands (UHI). The transformation mechanism of daytime and nighttime scale sensitivity of vegetation coverage to reduce the UHI effect in a daily cycle has been unclear. As a result, we propose a scale sensitivity measurement algorithm to study the spatial and temporal response relationship between UHI and green coverage. Based on the scale theory of landscape ecology and the method of geostatistical analysis, we adopted ArcGIS, MATLAB, SPSS, and other data processing software as well as a large amount of measured and high-resolution satellite imagery data of Beijing and Tianjin to quantitatively study their spatial scale sensitivity and daily variation features of urban green spaces to reduce summer UHI. The results show that first, the green coverage rate and the UHI intensity experience positive and negative correlations during the daytime, and negative correlations at night. When the correlation coefficient is significant, there is a linear relationship between the UHI intensity and the core green rate. Second, the reduction of the UHI by green spaces displays spatial and temporal change scale sensitivity characteristics. The radius scale of daytime sensitivity is 15m, and the radius scale of nighttime sensitivity is 60m. The study's conclusion enriches the theoretical parameters of landscape ecological scales and patterns, and provides spatial and temporal scales for systematic planning of green space to reduce UHI.
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Zhiyong Li, Mang Long, Songshan (Sam) Huang, Zhaohan Duan, Yingli Hu and Rui Cui
This paper aims to examine the effect of consumer inertia – a tendency to adhere to prior purchase decisions despite the existence of preferable alternatives – on the…
Abstract
Purpose
This paper aims to examine the effect of consumer inertia – a tendency to adhere to prior purchase decisions despite the existence of preferable alternatives – on the relationships between switching costs and customer retention, and explain the controversy within them in the context of budget hotels.
Design/methodology/approach
An empirical test was conducted via structural equation modelling based on 337 self-administered questionnaires from customers at six of Chinese popular budget hotels.
Findings
Consumer inertia was a significant mediator between switching costs and customer retention. Specifically, consumer inertia completely mediated the effects of financial switching costs on customer retention, but partially did between procedural switching costs and customer retention. By introducing consumer inertia, the explanatory power of customer retention improved significantly by 19%.
Originality/value
This paper clarifies the effects of multiple dimensions of switching costs on customer retention via the mediating role of consumer inertia and partly addresses the inconsistency in the prior studies from an inertia perspective.
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Rongjia Song, Weiping Cui, Jan Vanthienen, Lei Huang and Ying Wang
The purpose of this paper is to contribute to the extant literature about the co-evolvement of Business Process Management (BPM) and the Internet of Things (IoT) by proposing the…
Abstract
Purpose
The purpose of this paper is to contribute to the extant literature about the co-evolvement of Business Process Management (BPM) and the Internet of Things (IoT) by proposing the IoT-enabled Context-aware BPM (IoT-CaBPM) framework to bridge from the IoT infrastructure to context-aware business processes.
Design/methodology/approach
Motivated by the “Three Waves” of BPM research, IoT-enabled context-awareness is, therefore, expected to be achieved for enhancing the business process design, which pilots a new wave of BPR (Business Process Redesign/Reengineering) to enable the business process coevolve with IoT and analytics. This paper reports an illustrative case study of BPR in a Chinese bulk port, one of the hub seaports that widely adopted IoT technologies over the last few years.
Findings
The IoT implementation and data analytics has increased the efficiency and improve the monitoring effectively. The proposed IoT-CaBPM framework availably helps to identify and match nodes of IoT devices, business decisions and analytic models in order to redesign a business process towards context-aware variability. As IoT is rapidly becoming the new dominant IT paradigm is moving towards mature implementation in various industries, the corresponding BPR must be planned and executed strategically for achieving better benefits.
Originality/value
Despite some research extend BPM standard by integrating IoT devices as a sort of resources or report generically that the ports operations are affected by IoT, there is still a lack of layers from the IoT infrastructure to context-aware business processes. An industrial BPR case with business models in detail is also a lack for presenting the specific implications and effectiveness of the adoption of such technologies. This paper fills in this gap.
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Hepu Deng, Sophia Xiaoxia Duan and Santoso Wibowo
The purpose of this study is to investigate how digital technologies are used for facilitating knowledge sharing and decision-making through enhanced coordination and…
Abstract
Purpose
The purpose of this study is to investigate how digital technologies are used for facilitating knowledge sharing and decision-making through enhanced coordination and communication and their impact on job performance in organizations.
Design/methodology/approach
A conceptual model is developed within the background of the social capital theory through a comprehensive review of the related literature for exploring how digital technologies can improve knowledge sharing and decision-making via enhanced communication and coordination between individuals in organizations for better job performance. This model is then tested and validated based on structural equation modeling of the collected survey data in Australia.
Findings
This study shows that digital technology enhanced coordination and communication have significant impact on knowledge sharing. It finds out that digital technology driven coordination significantly influences decision-making and digital technology driven knowledge sharing significantly influences decision-making. Furthermore, this study reveals that enhanced decision-making and knowledge sharing can lead to better job performance in organizations.
Originality/value
To the best of the authors’ knowledge, this study is the first attempt to explore the role of digital technologies in enhancing knowledge sharing and decision-making for better job performance in a digitalized working environment in organizations. The validated model can be used as the foundation to further investigate the changing role of digital technologies in driving knowledge sharing for better performance of individuals and competitive advantages of organizations.
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Qiang Cui, Xiao Liu, Zhen Zhang, Xiaoqin Li and Shasha Yang
This study aims to propose a new composite metal fin structure to enhance heat transfer efficiency during the phase change energy storage (PCES) process in a hot water oil…
Abstract
Purpose
This study aims to propose a new composite metal fin structure to enhance heat transfer efficiency during the phase change energy storage (PCES) process in a hot water oil displacement system.
Design/methodology/approach
PCES numerical unit is developed by varying the radii of annular fins and the number of corrugated fins. The impact of the finned structure on melting characteristics, energy storage performance and rate of heat storage is analyzed.
Findings
This study indicate the presence of non-uniform melting behavior in PCES unit during the heat charging process, which can be mitigated by increasing the number of corrugated fins and the radius of annular fins.
Originality/value
The impact of the finned structure on melting characteristics, energy storage performance and rate of heat storage is analyzed. This study indicates the presence of non-uniform melting behavior in PCES unit during the heat charging process, which can be mitigated by increasing the number of corrugated fins and the radius of annular fins.