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Article
Publication date: 9 October 2017

Jin Zhang, Ming Ren, Xian Xiao and Jilong Zhang

The purpose of this paper is to find a representative subset from large-scale online reviews for consumers. The subset is significantly small in size, but covers the majority…

612

Abstract

Purpose

The purpose of this paper is to find a representative subset from large-scale online reviews for consumers. The subset is significantly small in size, but covers the majority amount of information in the original reviews and contains little redundant information.

Design/methodology/approach

A heuristic approach named RewSel is proposed to successively select representatives until the number of representatives meets the requirement. To reveal the advantages of the approach, extensive data experiments and a user study are conducted on real data.

Findings

The proposed approach has the advantage over the benchmarks in terms of coverage and redundancy. People show preference to the representative subsets provided by RewSel. The proposed approach also has good scalability, and is more adaptive to big data applications.

Research limitations/implications

The paper contributes to the literature of review selection, by proposing a heuristic approach which achieves both high coverage and low redundancy. This study can be applied as the basis for conducting further analysis of large-scale online reviews.

Practical implications

The proposed approach offers a novel way to select a representative subset of online reviews to facilitate consumer decision making. It can also enhance the existing information retrieval system to provide representative information to users rather than a large amount of results.

Originality/value

The proposed approach finds the representative subset by adopting the concept of relative entropy and sentiment analysis methods. Compared with state-of-the-art approaches, it offers a more effective and efficient way for users to handle a large amount of online information.

Details

Online Information Review, vol. 41 no. 6
Type: Research Article
ISSN: 1468-4527

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Case study
Publication date: 24 September 2020

Muralee Das and Susan Myrden

This case is focused on the allegations of corrupt practices within the strategic leadership at the board level of an international sports organization – the Asian Football…

Abstract

Theoretical basis

This case is focused on the allegations of corrupt practices within the strategic leadership at the board level of an international sports organization – the Asian Football Confederation (AFC). The theoretical premise is that the practices and decisions of the AFC’s leadership will have a profound impact on the AFC’s performance. However, because the AFC is the continental governing body, the impact is theorized to be far larger, across an entire industry. In writing the case, the authors were guided by upper Echelons theory (UET) (Hambrick and Mason, 1984; Hambrick, 2007; Hambrick et al., 2015), which argues that an organization’s strategic direction is directly influenced by its leader’s values. The authors selected UET for the theoretical framework, as it considered a spectrum of factors from industry, leader characters (values), their choices and the results of their actions. Such a comprehensive theory aligned with the complexities of the AFC and its leadership. In constructing the case roadmap using UET, the authors first adopted an ethnographic methodology. This was motivated by the fact that one of the authors had been embedded for many years as part of the leadership team at the AFC. His career work notes based on direct interactions and observations of these leaders helped in two ways: to identify the complex set of personal characteristics of these leaders (i.e. background, their careers outside football and financial standing) as they originated from 47 different nationalities. UET refers to these as observable factors to better theorize the hidden intentions of their alleged corrupt behaviors. UET identifies this second set of non-observable factors as psychological factors. These two different sets of observations combined helped to theorize their drivers, intentions and strategic decisions (options). For the second methodology, the authors accessed archival, publicly available media news and reports to understand the consequences of their actions to the AFC and the Asian football industry. This completed the final parts of the UET framework (Yamak et al., 2014).

Research methodology

This case relied on information that was widely reported within international media, press announcements by various organizations, published decisions by tribunals and publicly available information on the AFC. All of the names and positions in this case are actual persons.

Case overview/synopsis

This case focuses on the role and influence of the AFC as the Asian football governing body. The AFC is a member of the world football governing body – FIFA. With a US$1bn budget, the AFC has a strong impact on the future of football among Asia’s three billion people. Unfortunately, the AFC has been unable to create the value in its sports events or properties that attracts fans and investors. Central to this problem is the issue of corruption and corruption allegations within the AFC, especially with regard to its leadership. This case, therefore, attempts to highlight the various issues, discusses the circumstances around these challenges and brings forth the complexities of leading a truly international organization across 47 countries. Such factors are then tied to the value of the organization’s products or services in the marketplace.

Complexity academic level

The case is written and designed for a graduate level (MBA) class or an upper level undergraduate class such as corporate strategy, leadership, international management, international marketing, contemporary issues in management, cross-cultural management, sports management and sports marketing. In general, the case will also be a good fit for courses that discuss leadership, organizational strategy, organizational structure, organizational ethics and organizational behavior.

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Article
Publication date: 9 August 2023

Siyu Su, Youchao Sun, Chong Peng and Yuanyuan Guo

The purpose of this paper is to identify the key influencing factors of aviation accidents and to predict the aviation accidents caused by the factors.

186

Abstract

Purpose

The purpose of this paper is to identify the key influencing factors of aviation accidents and to predict the aviation accidents caused by the factors.

Design/methodology/approach

This paper proposes an improved gray correlation analysis (IGCA) theory to make the relational analysis of aviation accidents and influencing factors and find out the critical causes of aviation accidents. The optimal varying weight combination model (OVW-CM) is constructed based on gradient boosted regression tree (GBRT), extreme gradient boosting (XGBoost) and support vector regression (SVR) to predict aviation accidents due to critical factors.

Findings

The global aviation accident data from 1919 to 2020 is selected as the experimental data. The airplane, takeoff/landing and unexpected results are the leading causes of the aviation accidents based on IGCA. Then GBRT, XGBoost, SVR, equal-weight combination model (EQ-CM), variance-covariance combination model (VCW-CM) and OVW-CM are used to predict aviation accidents caused by airplane, takeoff/landing and unexpected results, respectively. The experimental results show that OVW-CM has a better prediction effect, and the prediction accuracy and stability are higher than other models.

Originality/value

Unlike the traditional gray correlation analysis (GCA), IGCA weights the sample by distance analysis to more objectively reflect the degree of influence of different factors on aviation accidents. OVW-CM is built by minimizing the combined prediction error at sample points and assigns different weights to different individual models at different moments, which can make full use of the advantages of each model and has higher prediction accuracy. And the model parameters of GBRT, XGBoost and SVR are optimized by the particle swarm algorithm. The study can guide the analysis and prediction of aviation accidents and provide a scientific basis for aviation safety management.

Details

Engineering Computations, vol. 40 no. 7/8
Type: Research Article
ISSN: 0264-4401

Keywords

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Article
Publication date: 17 May 2024

Mohammad Hossein Shahidzadeh and Sajjad Shokouhyar

In recent times, the field of corporate intelligence has gained substantial prominence, employing advanced data analysis techniques to yield pivotal insights for instantaneous…

251

Abstract

Purpose

In recent times, the field of corporate intelligence has gained substantial prominence, employing advanced data analysis techniques to yield pivotal insights for instantaneous strategic and tactical decision-making. Expanding beyond rudimentary post observation and analysis, social media analytics unfolds a comprehensive exploration of diverse data streams encompassing social media platforms and blogs, thereby facilitating an all-encompassing understanding of the dynamic social customer landscape. During an extensive evaluation of social media presence, various indicators such as popularity, impressions, user engagement, content flow, and brand references undergo meticulous scrutiny. Invaluable intelligence lies within user-generated data stemming from social media platforms, encompassing valuable customer perspectives, feedback, and recommendations that have the potential to revolutionize numerous operational facets, including supply chain management. Despite its intrinsic worth, the actual business value of social media data is frequently overshadowed due to the pervasive abundance of content saturating the digital realm. In response to this concern, the present study introduces a cutting-edge system known as the Enterprise Just-in-time Decision Support System (EJDSS).

Design/methodology/approach

Leveraging deep learning techniques and advanced analytics of social media data, the EJDSS aims to propel business operations forward. Specifically tailored to the domain of marketing, the framework delineates a practical methodology for extracting invaluable insights from the vast expanse of social data. This scholarly work offers a comprehensive overview of fundamental principles, pertinent challenges, functional aspects, and significant advancements in the realm of extensive social data analysis. Moreover, it presents compelling real-world scenarios that vividly illustrate the tangible advantages companies stand to gain by incorporating social data analytics into their decision-making processes and capitalizing on emerging investment prospects.

Findings

To substantiate the efficacy of the EJDSS, a detailed case study centered around reverse logistics resource recycling is presented, accompanied by experimental findings that underscore the system’s exceptional performance. The study showcases remarkable precision, robustness, F1 score, and variance statistics, attaining impressive figures of 83.62%, 78.44%, 83.67%, and 3.79%, respectively.

Originality/value

This scholarly work offers a comprehensive overview of fundamental principles, pertinent challenges, functional aspects, and significant advancements in the realm of extensive social data analysis. Moreover, it presents compelling real-world scenarios that vividly illustrate the tangible advantages companies stand to gain by incorporating social data analytics into their decision-making processes and capitalizing on emerging investment prospects.

Details

Industrial Management & Data Systems, vol. 124 no. 6
Type: Research Article
ISSN: 0263-5577

Keywords

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Article
Publication date: 7 July 2023

Jia Zhang, Chunlu Liu, Mark Luther, Brian Chil, Jilong Zhao and Changan Liu

Physical environments, especially the sound environments of ILSs on a university campus, have become increasingly important in satisfying the diverse needs of students. Poor sound…

314

Abstract

Purpose

Physical environments, especially the sound environments of ILSs on a university campus, have become increasingly important in satisfying the diverse needs of students. Poor sound environments are widely acknowledged to lead to inefficient and underutilised spaces and to negatively influence students' learning outcomes. This study proposes two hypotheses to explore whether students' sound environment perceptions are related to their individual characteristics and whether students' preferences for the type of ILS are related to their sound environment sensitivities.

Design/methodology/approach

An investigation through a questionnaire survey has been conducted on both students' individual characteristics affecting their sound environment perceptions in informal learning spaces (ILSs) of a university campus and their sensitivities to the sound environments in ILSs affecting their preferences for the type of ILSs.

Findings

The research findings indicate that students' sound environment perceptions are associated with some of their individual characteristics. In addition, the results show that students' sound environment sensitivities affect their preferences for the type of ILS they occupy.

Originality/value

This study could help architects and managers of university learning spaces to provide better sound environments for students, thereby improving their learning outcomes. The article contributes valuable insights into the correlation between students' individual characteristics, sound environment perceptions and preferences for ILSs. The research findings add to the existing knowledge in this field and offer practical implications for enhancing design and management of university learning environments.

Details

Engineering, Construction and Architectural Management, vol. 32 no. 1
Type: Research Article
ISSN: 0969-9988

Keywords

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Article
Publication date: 11 May 2022

Jia Zhang, Ding Ding, Chunlu Liu, Mark Luther, Jilong Zhao and Changan Liu

The purpose of this paper is to analyse privacy and interaction preferences in the social dimension of individual learning students and how the spatial configuration affects…

645

Abstract

Purpose

The purpose of this paper is to analyse privacy and interaction preferences in the social dimension of individual learning students and how the spatial configuration affects individual learners’ choices of learning spaces.

Design/methodology/approach

This empirical survey study was conducted in an Australian university’s informal learning spaces. Space syntax theories are applied to construct a four-quadrant theoretical framework.

Findings

The research findings indicate that based on the differences between students in their individual characteristics, there are significant differences in their needs for privacy and interaction. This study reveals that the spatial configuration affects individual learners’ choices of learning spaces.

Originality/value

This study could assist universities in providing students with more effective and diverse informal learning spaces.

Details

Facilities , vol. 40 no. 9/10
Type: Research Article
ISSN: 0263-2772

Keywords

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Article
Publication date: 29 April 2022

Yunpeng Zhang, Huiwen Huang, Dingguo Shao, Xinsheng Yang and Changgeng Zhang

This study aims to develop a finite element method based co-simulation platform for the numerical analysis of motor drive system. With the rising requirement of industry, the…

168

Abstract

Purpose

This study aims to develop a finite element method based co-simulation platform for the numerical analysis of motor drive system. With the rising requirement of industry, the comprehensive design of motor drive systems has attracted increasing attentions. An accurate model, which considers the coupling between motor and its drive system, is vital for the analysis and design of motor drive system.

Design/methodology/approach

Considering the coupling relationship between motor and its drive system, a flexible and extensible co-simulation platform of motor drive system is developed with the C++ language and finite element machine model to carry out the comprehensive analysis of motor drive system. The control system simulation program developed with C++ language adopts the same discrete form as the single-chip microcomputer and can simulate the interrupt mechanism, making the simulation closer to the actual control system. With the finite element analysis results of current step, the winding input voltage of next step is calculated by the executable program of control system and is fed into the finite element analysis, forming the two-way coupling analysis of drive system.

Findings

Preliminary studies, such as calculation of machine core losses fed by inverters, and control parameters optimization, are conducted with this platform, which shows the flexibility and expansibility of this platform.

Originality/value

The power inverter circuit along with the controller is modeled using the C++ language, and embedded into the finite element machine model to achieve more realistic motor drive system simulation and complex functions.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering , vol. 42 no. 1
Type: Research Article
ISSN: 0332-1649

Keywords

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