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Article
Publication date: 7 August 2017

Junsheng Zhang, Yunchuan Sun and Changqing Yao

This paper aims to semantically linking scientific research events implied by scientific and technical literature to support information analysis and information service…

Abstract

Purpose

This paper aims to semantically linking scientific research events implied by scientific and technical literature to support information analysis and information service applications. Literature research is an important method to acquire scientific and technical information which is important for research, development and innovation of science and technology. It is difficult but urgently required to acquire accurate, timely, rapid, short and comprehensive information from the large-scale and fast-growing literature, especially in the big data era. Existing literature-based information retrieval systems focus on basic data organization, and they are far from meeting the needs of information analytics. It becomes urgent to organize and analyze scientific research events related to scientific and technical literature for forecasting development trend of science and technology.

Design/methodology/approach

Scientific literature such as a paper or a patent is represented as a scientific research event, which contains elements including when, where, who, what, how and why. Metadata of literature is used to formulate scientific research events that are implied in introduction and related work sections of literature. Named entities and research objects such as methods, materials and algorithms can be extracted from texts of literature by using text analysis. The authors semantically link scientific research events, entities and objects, and then, they construct the event space for supporting scientific and technical information analysis.

Findings

This paper represents scientific literature as events, which are coarse-grained units comparing with entities and relations in current information organizations. Events and semantic relations among them together formulate a semantic link network, which could support event-centric information browsing, search and recommendation.

Research limitations/implications

The proposed model is a theoretical model, and it needs to verify the efficiency in further experimental application research. The evaluation and applications of semantic link network of scientific research events are further research issues.

Originality/value

This paper regards scientific literature as scientific research events and proposes an approach to semantically link events into a network with multiple-typed entities and relations. According to the needs of scientific and technical information analysis, scientific research events are organized into event cubes which are distributed in a three-dimensioned space for easy-to-understand and information visualization.

Details

The Electronic Library, vol. 35 no. 4
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 21 September 2020

Qian Wang and Eric W.T. Ngai

This study aims to provide an objective analysis of the state-of-the-art and intellectual development of publications related to event study methodology in business research.

Abstract

Purpose

This study aims to provide an objective analysis of the state-of-the-art and intellectual development of publications related to event study methodology in business research.

Design/methodology/approach

The sample includes 1,219 papers related to event study methodology, covering all business disciplines and spanning 34 years from 1983 to 2016.

Findings

Through three stages of primary analysis, namely, initial sample, citation and co-citation analyses, the authors identified the publication trends, supplementary techniques, influential publications and intellectual clusters in the area of event study methodology in business.

Research limitations/implications

The findings serve as a benchmark for the extensive literature related to event study methodology in business and may facilitate the transference of the amassed useful techniques among disciplines and the identification of future research directions.

Originality/value

The current study represents as a pioneering effort to review event study-related publications using bibliometric analysis.

Details

Industrial Management & Data Systems, vol. 120 no. 10
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 9 July 2018

Fatma Yasli and Bersam Bolat

Risk analysis is a critical investigation field for many sectors and organizations to maintain the information management reliable. Since mining is one of the riskiest…

Abstract

Purpose

Risk analysis is a critical investigation field for many sectors and organizations to maintain the information management reliable. Since mining is one of the riskiest sectors for both workers and management, comprehensive risk analysis should be carried out. The purpose of this paper is to explore comprehensively the undesired events that may occur during a particular process with their main reasons and to perform a risk analysis for these events, by developing a risk analysis methodology. For performing risk analysis, discovering and defining the potential accidents and incidents including their root causes are important contributions of the study as distinct from the related literature. The fuzzy approach is used substantially to obtain the important inferences about the hazardous process by identifying the critical risk points in the processes. In the scope of the study, the proposed methodology is applied to an underground chrome mine and obtaining significant findings of mining risky operations is targeted.

Design/methodology/approach

Fault tree analysis and fuzzy approach are used for performing the risk analysis. When determining the probability and the consequences of the events which are essential components for the risk analysis, expressions of the heterogeneous expert group are considered by means of the linguistic terms. Fault tree analysis and fuzzy approach present a quiet convenience solution together to specify the possible accidents and incidents in the particular process and determine the values for the basis risk components.

Findings

This study primarily presents a methodology for a comprehensive risk analysis. By implementing the proposed methodology to the underground loading and conveying processes of a chrome mine, 28 different undesired events that may occur during the processes are specified. By performing risk analysis for these events, it is established that the employee’s physical constraint while working with the shovel in the fore area, the falling of materials on employees from the chute and the scaling bar injuries are the riskiest undesired events in the underground loading and conveying process of the mine.

Practical implications

The proposed methodology provides a confidential and comprehensive method for risk analysis of the undesired events in a particular process. The capability of fault tree analysis for specifying the undesired events systematically and the applicability of fuzzy approach for converting the experts’ linguistic expressions to the mathematical values provide a significant advantage and convenience for the risk analysis.

Originality/value

The major contribution of this paper is to develop a methodology for the risk analysis of a variety of mining accidents and incidents. The proposed methodology can be applied to many production processes to investigate the dangerous operations comprehensively and find out the efficient management strategies. Before performing the risk analysis, determining the all possible accidents and incidents in the particular process using the fault tree analysis provides the effectiveness and the originality of the study. Also, using the fuzzy logic to find out the consequences of the events with experts’ linguistic expressions provides an efficient method for performing risk analysis.

Details

Journal of Enterprise Information Management, vol. 31 no. 4
Type: Research Article
ISSN: 1741-0398

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Book part
Publication date: 31 July 2014

David S. DeGeest and Ernest H. O’Boyle

To review and address current approaches and limitations to modeling change over time in social entrepreneurship research.

Abstract

Purpose

To review and address current approaches and limitations to modeling change over time in social entrepreneurship research.

Methodology

The article provides a narrative review of different practices used to assess change over time. It also shows how different research questions require different methodologies for assessing changes over time. Finally, it presents worked examples for modeling these changes.

Findings

Our review suggests that there is a lack of research in social entrepreneurship that takes into account the many different considerations for addressing how time influences outcomes.

Originality/value

This chapter introduces an analytic technique to social entrepreneurship that effectively models changes in predictors and outcomes even when data are non-normal or nested across time or levels of analysis.

Details

Social Entrepreneurship and Research Methods
Type: Book
ISBN: 978-1-78441-141-1

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Article
Publication date: 17 December 2020

Youngbum Kwon and T. Bettina Cornwell

Given the public availability of secondary data on investments in events such as the Olympics, FIFA World Cup and professional sports, event studies that measure stock…

Abstract

Purpose

Given the public availability of secondary data on investments in events such as the Olympics, FIFA World Cup and professional sports, event studies that measure stock market response to these investments have grown. Previous findings are mixed, however, with some studies suggesting that the announcement of sponsorship contracts is a positive event and others finding detrimental effects of the announcement on shareholder value. This study aims to analyze the mixed findings from event studies in sport sponsorship to determine if sponsorship announcements influence stock market response.

Design/methodology/approach

The meta-analysis examines more than 20 years of research on event studies in sponsorship (34 studies).

Findings

The overall results show a positive, but non-significant effect of partnership deal announcements on shareholder wealth. Further analysis considers the effects of sponsorship announcements by each type of event window to see the impact of the announcement relative to time (pre-announcement, announcement day, post-announcement and pre- to post-announcement). This closer examination of the event window shows that stock prices of sponsoring organizations increased in the pre-announcement window.

Originality/value

Quantitative meta-analytic findings indicate that information about sponsorship deals appears to leak to share markets and positively influence share price. This finding suggests that sponsoring the sports and events found in these event studies is seen as value enhancing for sponsoring firms.

Details

International Journal of Sports Marketing and Sponsorship, vol. 22 no. 3
Type: Research Article
ISSN: 1464-6668

Keywords

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Article
Publication date: 11 November 2019

António Almeida, Sergio Jesus Teixeira and Mara Franco

The purpose of this paper is to get insights on a real-life portfolio of events from a demand-centred prospective, based on the identification of factors influencing the…

Abstract

Purpose

The purpose of this paper is to get insights on a real-life portfolio of events from a demand-centred prospective, based on the identification of factors influencing the degree of attendee’s satisfaction, with the ultimate aim of identifying commonalities and prospective cross-leverage strategies among events.

Design/methodology/approach

Data from attendees to three major events taking place in Funchal, the capital city of Madeira, were analysed based on multivariate statistics and categorical regression owing to the overwhelming presence of categorical data in the database. The econometric analysis pursued in this paper is based on a sample of 1,830 tourists.

Findings

The research demonstrates that the impact of the socio-economic variables and travel arrangements on attendees’ satisfaction is rather irrelevant, irrespective of the event under analysis, with cross-cutting factors defining the overall quality of any event (mainly technical aspects such as aesthetical elements, organization and opening hours) determinant in predicting the overall degree of satisfaction. Another key finding relates to the existence of a number of commonalities among events, in terms of tourists’ profiles, market orientation, themes and resources laying ground to define ready-to-apply cross-leverage strategies.

Research limitations/implications

The analysis concentrated on three major events taking place in the capital city of a peripheral region. The content of the questionnaire co-developed with the destination management organization with order to get access to a large sample of respondents.

Practical implications

Lessons to be learnt in terms of managing a disparate collection of events developed over time in an ad hoc manner. A few examples of cross-leverage strategies are put forward.

Originality/value

The analysis and empirical content portrayed in this study contribute to the literature on event portfolio via description of real-life case examples of how to develop competencies based on post-event analysis in a proactive manner.

Details

International Journal of Event and Festival Management, vol. 10 no. 3
Type: Research Article
ISSN: 1758-2954

Keywords

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Article
Publication date: 13 June 2016

Muskan Garg and Mukesh Kumar

Social Media is one of the largest platforms to voluntarily communicate thoughts. With increase in multimedia data on social networking websites, information about human…

Abstract

Purpose

Social Media is one of the largest platforms to voluntarily communicate thoughts. With increase in multimedia data on social networking websites, information about human behaviour is increasing. This user-generated data are present on the internet in different modalities including text, images, audio, video, gesture, etc. The purpose of this paper is to consider multiple variables for event detection and analysis including weather data, temporal data, geo-location data, traffic data, weekday’s data, etc.

Design/methodology/approach

In this paper, evolution of different approaches have been studied and explored for multivariate event analysis of uncertain social media data.

Findings

Based on burst of outbreak information from social media including natural disasters, contagious disease spread, etc. can be controlled. This can be path breaking input for instant emergency management resources. This has received much attention from academic researchers and practitioners to study the latent patterns for event detection from social media signals.

Originality/value

This paper provides useful insights into existing methodologies and recommendations for future attempts in this area of research. An overview of architecture of event analysis and statistical approaches are used to determine the events in social media which need attention.

Details

Online Information Review, vol. 40 no. 3
Type: Research Article
ISSN: 1468-4527

Keywords

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Book part
Publication date: 25 April 2013

Tony Hak, Ferdinand Jaspers and Jan Dul

In organizational research the object of study is often a process, that is, a complex of events and activities that unfolds over time. In this chapter we focus on…

Abstract

In organizational research the object of study is often a process, that is, a complex of events and activities that unfolds over time. In this chapter we focus on temporally ordered configurations, which can be defined as those configurations in which conditions occur in a specific temporal order. We illustrate the aims, characteristics, and limitations of several approaches that have been proposed as tools for the analysis of temporal order. Our illustration involves an analysis of the “gestation activities” of nascent entrepreneurs, that is, persons involved in the creation of a new firm. We aim to identify temporal sequences of gestation activities that generate or allow a successful outcome of the gestation process, while an occurrence of the same activities in another temporal order will not generate or allow that outcome. First we discuss Event Structure Analysis and Optimal Matching and conclude that these approaches cannot provide the kind of analysis that we are aiming at in this chapter. Then we discuss Temporal Qualitative Comparative Analysis, for which our analysis points to technical limitations that constrain its application. We then present and discuss an alternative approach, Temporal Necessary Condition Analysis.

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Article
Publication date: 21 January 2021

Nakul Parameswar, Akriti Chaubey and Sanjay Dhir

There has been an increasing interest amongst the researchers to work and explore, “Black Swan” events which are not well studied. However, the “Black Swan” events hold an…

Abstract

Purpose

There has been an increasing interest amongst the researchers to work and explore, “Black Swan” events which are not well studied. However, the “Black Swan” events hold an eminent relevance amongst academicians and practitioners. The present study offers nuanced understanding of “Black Swan” events.

Design/methodology/approach

We undertook an extensive bibliometric analysis of the extant literature using “Black Swan” as guiding keyword with the help of SCOPUS database.

Findings

The search for articles only yielded 59 articles. Our analyses highlight the prominent works, authors and journals. Further, this study reveal the research gaps that may help guide future scholars interested in “Black Swan” events to examine in different context.

Research limitations/implications

The current study develops a research agenda and offers numerous research directions. Research on “Black Swan” events can be apprehended at three different stages – pre-black swan event, about black swan event and post-black swan event with identified sub-themes.

Originality/value

This paper is the pioneer research work to dedicatedly analyse the existing set of literature with “Black Swan”.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

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Article
Publication date: 1 January 2015

Masaki Kudo, Yong Jae Ko, Matthew Walker and Daniel P Connaughton

The purpose of this study was to examine stock price abnormal returns following title sponsorship announcement and event date of NASCAR, the PGA Tour, and the LPGA Tour…

Abstract

The purpose of this study was to examine stock price abnormal returns following title sponsorship announcement and event date of NASCAR, the PGA Tour, and the LPGA Tour. For this purpose, the authors used event study analysis where the analysis measures the impact that a specific event has on stock prices by comparing actual stock returns to estimated returns (Spais & Filis, 2008). An event study analysis demonstrated that title sponsors for the LPGA Tour and NASCAR garnered significant stock price increases on both the announcement date and the event date. The moderator tests suggested that high image congruence and high-technology related sponsorships assumed a key role in stock price increases.

Details

International Journal of Sports Marketing and Sponsorship, vol. 16 no. 2
Type: Research Article
ISSN: 1464-6668

Keywords

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