Modeling event attendees’ experiences during customer-customer encounters (CCEs)

2017 ◽  
Vol 29 (8) ◽  
pp. 2085-2102 ◽  
Author(s):  
Wei Wei ◽  
Li Miao ◽  
Liping A. Cai ◽  
Howard Adler
Keyword(s):  
Design Methodology ◽  
Situational Factors ◽  
Social Benefits ◽  
Business Sector ◽  
Content Type ◽  
Open Coding ◽  
Motivational Structure ◽  
Axial Coding ◽  
Previous Conference

Purpose The purpose of this study is to explore how event attendees experience interactive encounters in the most competitive segment of the business sector of events – conferences. Design/methodology/approach A total of 26 in-depth personal interviews was conducted with previous conference attendees. Line-by-line open coding, axial coding and selective coding are performed. Findings This study develops a framework for experiences during customer–customer encounters (CCEs), which presents a dual motivational structure that explains one’s participation in CCEs, a classification of typical CCEs, four processes that one experiences during CCEs and three levels of situational factors that influence experiences during CCEs. Originality/value This study makes one of the first attempts to propose a multidimensional conceptualization of CCE experiences using an attendee perspective. Beyond the utilitarian and social benefits, this study suggests that it is important for event studies to explore the psychological and emotional meanings of CCE experiences through an experiential lens and that the competitive battleground in event industry should lie in staging memorable experiences during CCEs.

Archival knowledge in the field of personal archiving: an exploratory study based on grounded theory

2020 ◽  
Vol 77 (1) ◽  
pp. 19-40
Author(s):  
Tiyang Huang ◽  
Rui Nie ◽  
Yue Zhao
Keyword(s):  
Grounded Theory ◽  
Design Methodology ◽  
Theoretical Framework ◽  
Integration Model ◽  
Knowledge Application ◽  
Content Type ◽  
Open Coding ◽  
Axial Coding ◽  
Depth Interviews ◽  
Interactive Factors

PurposeThe purpose of this paper is to propose a theoretical framework to illustrate the archival knowledge applied by archivists in their personal archiving (PA) and the mechanism of the application of archival knowledge in their PA.Design/methodology/approachThe grounded theory methodology was adopted. For data collection, in-depth interviews were conducted with 21 archivists in China. Data analysis was performed using the open coding, axial coding and selective coding to organise the archival knowledge composition of PA and develops the awareness-knowledge-action (AKA) integration model of archival knowledge application in the field of PA, according to the principles of the grounded theory.FindingsThe archival knowledge involved in the field of PA comprises four principal categories: documentation, arrangement, preservation and appraisal. Three interactive factors involved in archivists' archival knowledge application in the field of PA behaviour: awareness, knowledge and action, which form a pattern of awareness leading, knowledge guidance and action innovation, and archivists' PA practice is flexible and innovative. The paper underscored that it is need to improve archival literacy among general public.Originality/valueThe study constructs a theoretical framework to identify the specialised archival knowledge and skills of PA which is able to provide solutions for non-specialist PA and develops an AKA model to explain the interaction relationships between awareness, knowledge and action in the field of PA.

scholarly journals A surrogate-based generic classifier for Chinese TV series reviews

2017 ◽  
Vol 45 (2) ◽  
pp. 66-74
Author(s):  
Yufeng Ma ◽  
Long Xia ◽  
Wenqi Shen ◽  
Mi Zhou ◽  
Weiguo Fan
Keyword(s):  
Design Methodology ◽  
Experimental Result ◽  
Digital Information ◽  
Data Set ◽  
Content Type ◽  
Category Labels ◽  
Information Supply Chain ◽  
Feature Selection Techniques ◽  
Practical Implications

Purpose The purpose of this paper is automatic classification of TV series reviews based on generic categories. Design/methodology/approach What the authors mainly applied is using surrogate instead of specific roles or actors’ name in reviews to make reviews more generic. Besides, feature selection techniques and different kinds of classifiers are incorporated. Findings With roles’ and actors’ names replaced by generic tags, the experimental result showed that it can generalize well to agnostic TV series as compared with reviews keeping the original names. Research limitations/implications The model presented in this paper must be built on top of an already existed knowledge base like Baidu Encyclopedia. Such database takes lots of work. Practical implications Like in digital information supply chain, if reviews are part of the information to be transported or exchanged, then the model presented in this paper can help automatically identify individual review according to different requirements and help the information sharing. Originality/value One originality is that the authors proposed the surrogate-based approach to make reviews more generic. Besides, they also built a review data set of hot Chinese TV series, which includes eight generic category labels for each review.

Using transfer learning for diabetic retinopathy stage classification

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Enas M.F. El Houby
Keyword(s):  
Diabetic Retinopathy ◽  
Transfer Learning ◽  
Grade Level ◽  
Design Methodology ◽  
Content Type ◽  
Stage Classification ◽  
Set Up ◽  
Retinal Fundus ◽  
Automated Methods

PurposeDiabetic retinopathy (DR) is one of the dangerous complications of diabetes. Its grade level must be tracked to manage its progress and to start the appropriate decision for treatment in time. Effective automated methods for the detection of DR and the classification of its severity stage are necessary to reduce the burden on ophthalmologists and diagnostic contradictions among manual readers.Design/methodology/approachIn this research, convolutional neural network (CNN) was used based on colored retinal fundus images for the detection of DR and classification of its stages. CNN can recognize sophisticated features on the retina and provides an automatic diagnosis. The pre-trained VGG-16 CNN model was applied using a transfer learning (TL) approach to utilize the already learned parameters in the detection.FindingsBy conducting different experiments set up with different severity groupings, the achieved results are promising. The best-achieved accuracies for 2-class, 3-class, 4-class and 5-class classifications are 86.5, 80.5, 63.5 and 73.7, respectively.Originality/valueIn this research, VGG-16 was used to detect and classify DR stages using the TL approach. Different combinations of classes were used in the classification of DR severity stages to illustrate the ability of the model to differentiate between the classes and verify the effect of these changes on the performance of the model.

Factors influencing the smart supply chain innovation performance of commodity distribution enterprises: an investigation from China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Weihua Liu ◽  
Jiahui Zhang ◽  
Siyu Wang
Keyword(s):  
Supply Chain ◽  
Reliability And Validity ◽  
Content Type ◽  
Team Members ◽  
Factors Affecting ◽  
Technology Application ◽  
Innovation Ability ◽  
New Ideas ◽  
Open Coding ◽  
Axial Coding

PurposeThis study explores the influencing factors affecting smart supply chain innovation (SSCI) performance of commodity distribution enterprises, and proposes the corresponding framework from the perspective of the application of technology to improve the SSCI performance and make up the research gap in this field.Design/methodology/approachA multi-case study method is adopted in this study. Four distribution commodity distribution enterprises A, B, C and D in China are chosen as case enterprises. The interviews with senior management team members are used to collect data. The combination of open coding and axial coding are used to process the data. By testing the reliability and validity, the theoretical framework is summarized.FindingsFirst, we find that the technology application cost inhibits SSCI and that the level of technology suitable for enterprise development will promote SSCI. Second, SSCI in structure, management and services can improve the performance and innovation ability of enterprises. Third, the quality of multi-channel integration and degree of customization around customer demand can significantly modify the above effects.Originality/valueCompared with previous studies, this study reveals for the first time the correlation between the SSCI performance and technology application, SSCI in structure, management and service, providing new ideas for relevant researches on SSCI, and providing new theoretical support for managers' decision-making related to SSCI.

Viewpoint – could the belt and road initiative be derailed? An analysis of impediments to completion

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Peter Enderwick
Keyword(s):  
Design Methodology ◽  
Dynamic Environment ◽  
Belt And Road Initiative ◽  
Relative Significance ◽  
Content Type ◽  
Belt And Road ◽  
Trade War ◽  
The Belt And Road

Purpose The continuation of China’s belt and road initiative (BRI) is assumed in most analyses. Yet, recent events have created significant reputational damage for China and Chinese businesses. With a trade war evolving into a hegemonic struggle, there are a number of potential developments that could derail the BRI. This paper aims to provide a contemporary review of the factors that could negatively impact its continuation, and what China has done to mitigate the risks. Design/methodology/approach A descriptive paper that groups possible disruptive factors into three groups: internal weaknesses of the BRI and its design; those related to China’s implementation of the BRI and external concerns and pressures. Findings China has actively reviewed and refined the BRI to reduce its perceived weaknesses and increase its attractiveness to potential participants, focussing on debt dependency, transparency and governance. However, this has occurred at the same time as growing concerns regarding China’s international assertiveness, the hegemonic challenge and recovery from the COVID-19 pandemic. Research limitations/implications These changes are occurring within an extremely dynamic environment and any analysis at one point in time is subject to considerable limitations. However, the paper brings together a range of disparate perspectives in a structured manner. Originality/value The classification of possible threats to the BRI is original and provides insights into the relative significance of the diverse challenges that China faces. The paper concludes that while China’s operational focus on the mechanics of the BRI process is necessary, it may not be sufficient to ensure its continuing development. The paper identifies the next step which is conceptualisation of these ideas and of the BRI. Some guidance as to how this might be done is provided.

scholarly journals On classification of (n+6)-dimensional nilpotent n-Lie algebras of class 2 with n≥4

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mehdi Jamshidi ◽  
Farshid Saeedi ◽  
Hamid Darabi
Keyword(s):  
Lie Algebra ◽  
Lie Algebras ◽  
Design Methodology ◽  
Central Element ◽  
Complete Understanding ◽  
Content Type ◽  
Low Dimension

PurposeThe purpose of this paper is to determine the structure of nilpotent (n+6)-dimensional n-Lie algebras of class 2 when n≥4.Design/methodology/approachBy dividing a nilpotent (n+6)-dimensional n-Lie algebra of class 2 by a central element, the authors arrive to a nilpotent (n+5) dimensional n-Lie algebra of class 2. Given that the authors have the structure of nilpotent (n+5)-dimensional n-Lie algebras of class 2, the authors have access to the structure of the desired algebras.FindingsIn this paper, for each n≥4, the authors have found 24 nilpotent (n+6) dimensional n-Lie algebras of class 2. Of these, 15 are non-split algebras and the nine remaining algebras are written as direct additions of n-Lie algebras of low-dimension and abelian n-Lie algebras.Originality/valueThis classification of n-Lie algebras provides a complete understanding of these algebras that are used in algebraic studies.

Wildcards – natural and artificial: the combination of a panel of experts and Fuzzy TOPSIS

foresight ◽  
2017 ◽  
Vol 19 (1) ◽  
pp. 15-30 ◽  
Author(s):  
Mohsen Mohammadi ◽  
Mohammad Rahim Eivazi ◽  
Jafar Sajjadi
Keyword(s):  
Design Methodology ◽  
Fuzzy Topsis ◽  
New Method ◽  
Weak Signals ◽  
Content Type ◽  
Participatory Foresight ◽  
The Future ◽  
Similar Character ◽  
Topsis Model

Purpose The purpose of this paper is threefold: to classify wildcards into three particular types sharing similar characteristics; use the Fuzzy TOPSIS as a new method in foresight to turn qualitative ideas into quantitative ones; and apply a combination of Fuzzy TOPSIS and a panel of experts to prioritize weak signals. Design/methodology/approach In this paper, the authors classify wildcards into three particular types which share similar character: natural wildcards, artificial wildcards (Degree 1) and artificial wildcards (Degree 2). Wildcards point to unexpected and surprising events including important results that can form watershed in the development of a specific trend. In addition, the authors present a Fuzzy TOPSIS model which can be used in various cases to prioritize a number of weak signals and put them in order, so that the most important ones are likely to yield the wildcard in the future Findings The authors presented a classification of wildcards with the same characteristics being natural wildcards, artificial wildcards (Degree 1) and artificial wildcards (Degree 2). The authors also prioritized the weak signals to deal with the most important ones and take appropriate action in advance so as to minimize possible damages and maximize the benefits of potential wildcards in an uncertain environment. Originality/value In this paper, the authors report on the prioritizing of weak signals by applying Fuzzy TOPSIS and classify wildcards. This is significant because, by identifying the most important weak signals, appropriate actions can be taken in the future if necessary. The paper should be of interest to readers in the area of participatory foresight.

Review of securities class action filings in 2015

2016 ◽  
Vol 17 (3) ◽  
pp. 1-27
Author(s):  
Alexander Aganin
Keyword(s):  
Design Methodology ◽  
Stock Exchange ◽  
Class Action ◽  
Current View ◽  
Content Type ◽  
Industry Sector ◽  
Class Actions ◽  
Trends Over Time ◽  
Loss Index

Purpose To provide an analysis of securities class action filings in 2015 along with related trends over time and a comprehensive current view of the securities class action landscape. Design/methodology/approach Details 2015 securities class actions and related trends in terms of the number and size of filings; market capitalization losses; the litigation exposure of IPOs; the classification of complaints; litigation likelihood for US exchange-listed companies; resolutions (settlements, dismissals or trial verdict outcomes); timing of dismissals and settlements; filing lags; filings against foreign issuers; number of mega filings; recent rulings related to class certification; and concentration of class action activity by industry sector, stock exchange and court circuit. Findings The number of filings in 2015 was the largest since 2008. The Disclosure Dollar Loss Index® (DDL Index®), the Maximum Dollar Loss Index® (MDL Index®) and the number of mega filings rose sharply in 2015 after declines in 2014. The Consumer Non-Cyclical sector had the most filings in 2015 while filings against companies in the Financial sector were below historical averages. Dismissal rates appear to be trending down. The median filing lag has never been shorter than in 2015. Filings against foreign issuers remain at high levels. Filings against S&P 500 companies remained below the historical average. Originality/value Detailed analysis by legal and industry experts.

Firm CSR implementation and societal moral degradation

2018 ◽  
Vol 12 (3) ◽  
pp. 608-619 ◽  
Author(s):  
Zhiqiang Li ◽  
Qinqin Zheng
Keyword(s):  
Design Methodology ◽  
Transition Economy ◽  
Choice Theory ◽  
Great Influence ◽  
Hierarchical Regression ◽  
Business Sector ◽  
Content Type ◽  
Strategic Csr ◽  
Corporate Social ◽  
Practical Implications

PurposeThis paper aims to examine how firms respond to societal moral degradation in a transition economy from the corporate social responsibility (CSR) perspective.Design/methodology/approachBased on a survey of 302 firms operating in China and using hierarchical regression, this study explores the effect of societal moral degradation on firm CSR implementation.FindingsThe study finds that the amount of CSR performed by firms in a transition market will reduce when they face increased moral degradation in the business field. The authors also find that CSR philanthropy is more significantly deterred by societal moral degradation than CSR sustainability.Practical implicationsThese findings reveal that firms conducting CSR initiatives need to strategically consider the great influence of environment. Meanwhile, strategic CSR decisions should be fully aware of the different characters of different CSR forms.Originality/valueThis paper draws on the strategic choice theory and contributes to understanding of the influence of specific environmental factors in transition economies on CSR implementation. Based on two main categories of CSR, this study develops a framework that explores how firms choose different CSR forms when they encounter severe moral degradation in business sector.

Sentiment classification of Chinese cosmetic reviews based on integration of collocations and concepts

2019 ◽  
Vol 38 (1) ◽  
pp. 155-169
Author(s):  
Chihli Hung ◽  
You-Xin Cao
Keyword(s):  
Design Methodology ◽  
Classification Performance ◽  
Sentiment Classification ◽  
Support Vector ◽  
Research Approach ◽  
Content Type ◽  
Novel Approach ◽  
The Relationship ◽  
Modelling Approach

Purpose This paper aims to propose a novel approach which integrates collocations and domain concepts for Chinese cosmetic word of mouth (WOM) sentiment classification. Most sentiment analysis works by collecting sentiment scores from each unigram or bigram. However, not every unigram or bigram in a WOM document contains sentiments. Chinese collocations consist of the main sentiments of WOM. This paper reduces the complexity of the document dimensionality and makes an improvement for sentiment classification. Design/methodology/approach This paper builds two contextual lexicons for feature words and sentiment words, respectively. Based on these contextual lexicons, this paper uses the techniques of associated rules and mutual information to build possible Chinese collocation sets. This paper applies preference vector modelling as the vector representation approach to catch the relationship between Chinese collocations and their associated concepts. Findings This paper compares the proposed preference vector models with benchmarks, using three classification techniques (i.e. support vector machine, J48 decision tree and multilayer perceptron). According to the experimental results, the proposed models outperform all benchmarks evaluated by the criterion of accuracy. Originality/value This paper focuses on Chinese collocations and proposes a novel research approach for sentiment classification. The Chinese collocations used in this paper are adaptable to the content and domains. Finally, this paper integrates collocations with the preference vector modelling approach, which not only achieves a better sentiment classification performance for Chinese WOM documents but also avoids the curse of dimensionality.

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