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Article
Publication date: 18 July 2022

Widya Paramita, Felix Septianto, Marco Escadas, Devi Arnita and Reza Ashari Nasution

The present research aims to investigate the influence of organizational positioning by drawing upon moral foundations theory in relation to driving charitable giving, and…

Abstract

Purpose

The present research aims to investigate the influence of organizational positioning by drawing upon moral foundations theory in relation to driving charitable giving, and the moderating role of recognition in this regard.

Design/methodology/approach

Two experimental studies were conducted to examine the interactive effect of organizational positioning emphasizing a binding (vs an individualizing) moral foundation and donation recognition on charitable giving. Study 1 was conducted in Indonesia, while Study 2 was conducted in the US.

Findings

This research demonstrates that individuals will give higher donations to an organization with a binding (vs an individualizing) moral foundation that provides donation recognition. Further, this effect is mediated by social identity signaling.

Originality/value

The findings of this research provide a novel perspective on how organizational positioning can influence whether donation recognition increases charitable giving. Moreover, the findings offer managerial implications to non-profit organizations developing effective charitable campaigns in terms of combining appropriate organizational positioning and donation recognition strategies.

Details

Asia Pacific Journal of Marketing and Logistics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-5855

Keywords

Article
Publication date: 2 August 2022

Zhongbao Liu and Wenjuan Zhao

The research on structure function recognition mainly concentrates on identifying a specific part of academic literature and its applicability in the multidiscipline…

Abstract

Purpose

The research on structure function recognition mainly concentrates on identifying a specific part of academic literature and its applicability in the multidiscipline perspective. A specific part of academic literature, such as sentences, paragraphs and chapter contents are also called a level of academic literature in this paper. There are a few comparative research works on the relationship between models, disciplines and levels in the process of structure function recognition. In view of this, comparative research on structure function recognition based on deep learning has been conducted in this paper.

Design/methodology/approach

An experimental corpus, including the academic literature of traditional Chinese medicine, library and information science, computer science, environmental science and phytology, was constructed. Meanwhile, deep learning models such as convolutional neural networks (CNN), long and short-term memory (LSTM) and bidirectional encoder representation from transformers (BERT) were used. The comparative experiments of structure function recognition were conducted with the help of the deep learning models from the multilevel perspective.

Findings

The experimental results showed that (1) the BERT model performed best, with F1 values of 78.02, 89.41 and 94.88%, respectively at the level of sentence, paragraph and chapter content. (2) The deep learning models performed better on the academic literature of traditional Chinese medicine than on other disciplines in most cases, e.g. F1 values of CNN, LSTM and BERT, respectively arrived at 71.14, 69.96 and 78.02% at the level of sentence. (3) The deep learning models performed better at the level of chapter content than other levels, the maximum F1 values of CNN, LSTM and BERT at 91.92, 74.90 and 94.88%, respectively. Furthermore, the confusion matrix of recognition results on the academic literature was introduced to find out the reason for misrecognition.

Originality/value

This paper may inspire other research on structure function recognition, and provide a valuable reference for the analysis of influencing factors.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 10 June 2014

Ping Bao and Suoling Zhu

The purpose of this paper is to present a system for recognition of location names in ancient books written in languages, such as Chinese, in which proper names are not…

Abstract

Purpose

The purpose of this paper is to present a system for recognition of location names in ancient books written in languages, such as Chinese, in which proper names are not signaled by an initial capital letter.

Design/methodology/approach

Rule-based and statistical methods were combined to develop a set of rules for identification of product-related location names in the local chronicles of Guangdong. A name recognition system, with functions of document management, information extraction and storage, rule management, location name recognition, and inquiry and statistics, was developed using Microsoft's .NET framework, SQL Server 2005, ADO.NET and XML. The system was evaluated with precision ratio, recall ratio and the comprehensive index, F.

Findings

The system was quite successful at recognizing product-related location names (F was 71.8 percent), demonstrating the potential for application of automatic named entity recognition techniques in digital collation of ancient books such as local chronicles.

Research limitations/implications

Results suffered from limitations in initial digitization of the text. Statistical methods, such as the hidden Markov model, should be combined with an extended set of recognition rules to improve recognition scores and system efficiency.

Practical implications

Electronic access to local chronicles by location name saves time for chorographers and provides researchers with new opportunities.

Social implications

Named entity recognition brings previously isolated ancient documents together in a knowledge base of scholarly and cultural value.

Originality/value

Automatic name recognition can be implemented in information extraction from ancient books in languages other than English. The system described here can also be adapted to modern texts and other named entities.

Book part
Publication date: 22 February 2010

Steven E. Abraham, Adrienne E. Eaton and Paula B. Voos

We present evidence regarding how a card check recognition process affects the labor relations climate during the period preceding recognition and that which immediately…

Abstract

We present evidence regarding how a card check recognition process affects the labor relations climate during the period preceding recognition and that which immediately follows. Interviews with managers, interviews with union representatives, and surveys of workers indicate that card check typically results in a less prolonged, costly, and stressful recognition and negotiations process. Although the resulting contracts are often similar to those in other parts of a heavily unionized corporation, sometimes they reflect a different business context – and hence are somewhat more favorable to employers without being substantially less favorable to employees. This reality is reflected in the positive reaction of the U.S. stock markets to union recognition by an employer through a card check process. Employers make card check agreements primarily for business reasons, and investors respect their judgment as to the impact of such agreements on the bottom line.

Details

Advances in Industrial and Labor Relations
Type: Book
ISBN: 978-1-84950-932-9

Book part
Publication date: 12 June 2018

Douglas NeJaime

This chapter uncovers the destabilizing and transformative dimensions of a legal process commonly described as assimilation. Lawyers working on behalf of a marginalized…

Abstract

This chapter uncovers the destabilizing and transformative dimensions of a legal process commonly described as assimilation. Lawyers working on behalf of a marginalized group often argue that the group merits inclusion in dominant institutions, and they do so by casting the group as like the majority. Scholars have criticized claims of this kind for affirming the status quo and muting significant differences of the excluded group. Yet, this chapter shows how these claims may also disrupt the status quo, transform dominant institutions, and convert distinctive features of the excluded group into more widely shared legal norms. This dynamic is observed in the context of lesbian, gay, bisexual, and transgender (LGBT) rights, and specifically through attention to three phases of LGBT advocacy: (1) claims to parental recognition of unmarried same-sex parents, (2) claims to marriage, and (3) claims regarding the consequences of marriage for same-sex parents. The analysis shows how claims that appeared assimilationist – demanding inclusion in marriage and parenthood by arguing that same-sex couples are similarly situated to their different-sex counterparts – subtly challenged and reshaped legal norms governing parenthood, including marital parenthood. While this chapter focuses on LGBT claims, it uncovers a dynamic that may exist in other settings.

Details

Special Issue: Law and the Imagining of Difference
Type: Book
ISBN: 978-1-78756-030-7

Keywords

Article
Publication date: 2 June 2022

Md. Abdul Alim, Kim-Lim Tan, Teck Weng Jee, Boo Ho Voon, Md. Julhaz Hossain and Md. Uzzal Mia

This paper focuses on the factors that affect entrepreneurs' performance in small and medium enterprises (SMEs) in the context of a developing nation. Despite the advances…

Abstract

Purpose

This paper focuses on the factors that affect entrepreneurs' performance in small and medium enterprises (SMEs) in the context of a developing nation. Despite the advances in this literature, examination of opportunity recognition in the same model with personal factors and environmental factors on entrepreneurs' performance is lacking.

Design/methodology/approach

A quantitative survey was carried out and the data sample of 198 SMEs entrepreneurs in Bangladesh was collected using quota sampling technique. Partial least squares-based structural equation modeling (PLS-SEM) was employed to test the hypothesized relationships.

Findings

The study found that the direct effect of personal and environmental factors significantly influences entrepreneurs' performance and opportunity recognition, and opportunity recognition significantly influences entrepreneurs' performance. The results further indicated that opportunity recognition mediates the relationships between environmental factors and entrepreneurs' performance, but not on the relationships between personal factors and entrepreneurs' performance.

Practical implications

The findings from the study guide SMEs entrepreneurs' performance by utilizing the opportunity recognition more efficiently and effectively. The study further enhances practitioners' understanding of the drivers and motivations of entrepreneurs within a developing nation context.

Originality/value

Although some previous studies already exist that discuss SMEs entrepreneurs' performance, there have been few studies focusing on opportunity recognition and mediation role of opportunity recognition, and far lesser in the context of a developing nation.

Details

Asia-Pacific Journal of Business Administration, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1757-4323

Keywords

Article
Publication date: 31 May 2022

Suyang Ye and Teng Zhao

This paper aims to extend the literature on how to harness the expertise of team members. This paper suggests that the leader’s expertise recognition plays an important…

Abstract

Purpose

This paper aims to extend the literature on how to harness the expertise of team members. This paper suggests that the leader’s expertise recognition plays an important role in enhancing team effectiveness. In addition, leader’s personal dispositions shape how the leader’s recognition could benefit team expertise utilization.

Design/methodology/approach

This paper utilizes a two-wave, multi-source (team leaders and team members rated) survey design from 78 information technology teams to test the proposed moderated mediation model.

Findings

The data analysis revealed that a leader’s expertise recognition is positively related to team expertise utilization. Moreover, the leaders’ traits (i.e. social dominance and reflectiveness) act as important boundary conditions of this relationship. Specifically, only when the leader is less socially dominant or more reflective can they fully utilize the expertise recognition and enhance team creativity through team expertise utilization.

Originality/value

This study investigated an important issue that expertise utilization research has hitherto overlooked: the effects of leader’s expertise recognition on team expertise utilization and team creativity.

Details

Management Decision, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 2 June 2022

Huey Chern Boo and Bee-Lia Chua

This study aims to explain how hotel guests form attitudes toward facial recognition technology in Singapore by integrating technology acceptance model (TAM), privacy…

Abstract

Purpose

This study aims to explain how hotel guests form attitudes toward facial recognition technology in Singapore by integrating technology acceptance model (TAM), privacy calculus theory and personal innovativeness.

Design/methodology/approach

A self-administered online questionnaire was developed with measurements adopted from past research. Guests who stayed in four- or five-star hotels in Singapore were recruited via systematic random sampling. Structural equation modeling was conducted to examine the proposed integrated models.

Findings

Results showed that hotel guests performed calculative cognitive processes, weighing the benefits and risks of using facial recognition check-in system. Contradictory to the past research which suggested that trust activates both perceived risk and benefits, this study demonstrated that trust independently directed consumer attention on the benefits gained while risk perception was triggered by privacy concern. Furthermore, the current study revealed that the ease of use of facial recognition check-in system could possibly backfire.

Practical implications

The research indicates that the effort to adopt new technology in the hotel industry is promising in view of the growing millennials and Generation Z population who are digital natives. Furthermore, the current study highlights ways to elevate institutional trust and divert consumers’ attention from risk perception to enhance their positive attitude and behavior toward accepting facial recognition check-in system.

Originality/value

This study integrated TAM with privacy calculus theory and personal innovativeness in examining the acceptance of facial recognition check-in system in the hotel industry in Singapore. This study is also the first, to the best of the authors’ knowledge, to investigate the relationships among privacy concern, perceived risk, institutional trust and perceived benefits, as well as their effects on consumers’ attitudes and behavior toward the biometric system.

Details

International Journal of Contemporary Hospitality Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 31 May 2022

Maqsood Ahmad, Qiang Wu and Yasar Abbass

This study aims to explore and clarify the mechanism by which recognition-based heuristic biases influence the investment decision-making and performance of individual…

Abstract

Purpose

This study aims to explore and clarify the mechanism by which recognition-based heuristic biases influence the investment decision-making and performance of individual investors, with the mediating role of fundamental and technical anomalies.

Design/methodology/approach

The deductive approach was used, as the research is based on behavioral finance's theoretical framework. A questionnaire and cross-sectional design were employed for data collection from the sample of 323 individual investors trading on the Pakistan Stock Exchange (PSX). Hypotheses were tested through the structural equation modeling (SEM) technique.

Findings

The article provides further insights into the relationship between recognition-based heuristic-driven biases and investment management activities. The results suggest that recognition-based heuristic-driven biases have a markedly positive influence on investment decision-making and negatively influence the investment performance of individual investors. The results also suggest that fundamental and technical anomalies mediate the relationships between the recognition-based heuristic-driven biases on the one hand and investment management activities on the other.

Practical implications

The results of the study suggested that investment management activities that rely on recognition-based heuristics would not result in better returns to investors. The article encourages investors to base decisions on investors' financial capability and experience levels and to avoid relying on recognition-based heuristics when making decisions related to investment management activities. The results provides awareness and understanding of recognition-based heuristic-driven biases in investment management activities, which could be very useful for decision-makers and professionals in financial institutions, such as portfolio managers and traders in commercial banks, investment banks and mutual funds. This paper helps investors to select better investment tools and avoid repeating the expensive errors that occur due to recognition-based heuristic-driven biases.

Originality/value

The current study is the first to focus on links recognition-based heuristic-driven biases, fundamental and technical anomalies, investment decision-making and performance of individual investors. This article enhanced the understanding of the role that recognition-based heuristic-driven biases plays in investment management. More importantly, the study went some way toward enhancing understanding of behavioral aspects and the aspects' influence on investment decision-making and performance in an emerging market.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Abstract

Details

Philosophy of Management and Sustainability: Rethinking Business Ethics and Social Responsibility in Sustainable Development
Type: Book
ISBN: 978-1-78973-453-9

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