Search results

The purpose of this paper was to determine the factors that enable entrepreneurial opportunity recognition and the significant role of education and training in enhancing opportunity recognition.

This paper follows a systematic literature review method to answer the research questions. A systematic literature review allows us to determine the work carried out to date, how it was done, assess literature and report all relevant research. The authors have used the Preferred Reporting Items for Systematic and Meta-Analysis procedure.

The findings of this study showed that prior knowledge, social networks, external environment, entrepreneurial alertness, creativity, self-efficacy and entrepreneurial passion are the main factors that play a role in the opportunity recognition process. The authors were also able to establish the importance of education and training in enhancing opportunity recognition. Experiential learning is at the forefront of education methods used to improve prior knowledge and experience that directly impact the ability to recognize entrepreneurial opportunities.

The paper provides human resource development practitioners and entrepreneurship educators with factors that determine entrepreneurial opportunity recognition. It pinpoints the factors that can be exploited in enhancing employees and novice entrepreneurs’ ability to recognize viable entrepreneurial opportunities.

Opportunity recognition is recognized as the first step in the entrepreneurship process. Therefore, it is crucial for entrepreneurs to have the ability to recognize opportunities that are viable. Understanding the factors that contribute to a successful opportunity recognition is important. In addition, the role of education and training in opportunity recognition and enhancing entrepreneurial opportunity recognition cannot be overlooked.

The aim of this chapter is to argue that charisma is a collective representation, and that charismatic authority is a social status that derives more from the “recognition” of the followers than from the “magnetism” of the leaders. I contend further that a close reading of Max Weber shows that he, too, saw charisma in this light.

I develop my argument by a close reading of many of the most relevant texts on the subject. This includes not only the renowned texts on this subject by Max Weber, but also many books and articles that interpret or criticize Weber’s views.

I pay exceptionally close attention to key arguments and texts, several of which have been overlooked in the past.

Writers for whom charisma is personal magnetism tend to assume that charismatic rule is natural and that the full realization of democratic norms is unlikely. Authority, in this view, emanates from rulers unbound by popular constraint. I argue that, in fact, authority draws both its mandate and its energy from the public, and that rulers depend on the loyalty of their subjects, which is never assured. So charismatic claimants are dependent on popular choice, not vice versa.

I advocate a “culturalist” interpretation of Weber, which runs counter to the dominant “personalist” account. Conventional interpreters, under the sway of theology or mass psychology, misread Weber as a romantic, for whom charisma is primal and undemocratic rule is destiny. This essay offers a counter-reading.

Single-shot multi-category clothing recognition and retrieval play a crucial role in online searching and offline settlement scenarios. Existing clothing recognition methods based on RGBD clothing images often suffer from high-dimensional feature representations, leading to compromised performance and efficiency.

To address this issue, this paper proposes a novel method called Manifold Embedded Discriminative Feature Selection (MEDFS) to select global and local features, thereby reducing the dimensionality of the feature representation and improving performance. Specifically, by combining three global features and three local features, a low-dimensional embedding is constructed to capture the correlations between features and categories. The MEDFS method designs an optimization framework utilizing manifold mapping and sparse regularization to achieve feature selection. The optimization objective is solved using an alternating iterative strategy, ensuring convergence.

Empirical studies conducted on a publicly available RGBD clothing image dataset demonstrate that the proposed MEDFS method achieves highly competitive clothing classification performance while maintaining efficiency in clothing recognition and retrieval.

This paper introduces a novel approach for multi-category clothing recognition and retrieval, incorporating the selection of global and local features. The proposed method holds potential for practical applications in real-world clothing scenarios.

Although numerous signal modalities are available for emotion recognition, audio and visual modalities are the most common and predominant forms for human beings to express their emotional states in daily communication. Therefore, how to achieve automatic and accurate audiovisual emotion recognition is significantly important for developing engaging and empathetic human–computer interaction environment. However, two major challenges exist in the field of audiovisual emotion recognition: (1) how to effectively capture representations of each single modality and eliminate redundant features and (2) how to efficiently integrate information from these two modalities to generate discriminative representations.

A novel key-frame extraction-based attention fusion network (KE-AFN) is proposed for audiovisual emotion recognition. KE-AFN attempts to integrate key-frame extraction with multimodal interaction and fusion to enhance audiovisual representations and reduce redundant computation, filling the research gaps of existing approaches. Specifically, the local maximum–based content analysis is designed to extract key-frames from videos for the purpose of eliminating data redundancy. Two modules, including “Multi-head Attention-based Intra-modality Interaction Module” and “Multi-head Attention-based Cross-modality Interaction Module”, are proposed to mine and capture intra- and cross-modality interactions for further reducing data redundancy and producing more powerful multimodal representations.

Extensive experiments on two benchmark datasets (i.e. RAVDESS and CMU-MOSEI) demonstrate the effectiveness and rationality of KE-AFN. Specifically, (1) KE-AFN is superior to state-of-the-art baselines for audiovisual emotion recognition. (2) Exploring the supplementary and complementary information of different modalities can provide more emotional clues for better emotion recognition. (3) The proposed key-frame extraction strategy can enhance the performance by more than 2.79 per cent on accuracy. (4) Both exploring intra- and cross-modality interactions and employing attention-based audiovisual fusion can lead to better prediction performance.

The proposed KE-AFN can support the development of engaging and empathetic human–computer interaction environment.

The purpose of this study is to investigate the key predictors and outcomes of task–technology fit (TTF) of facial recognition payment systems with the moderating role of cultural differences in the restaurant industry.

The survey responses were collected from 336 South Korean and 336 US restaurant customers.

The results revealed that function significantly affected TTF in both groups. Unique to the Korean sample, emotion was found to be a significant determinant of TTF, whereas convenience and social influence were key predictors of TTF only for the US sample. TTF had significant and positive effects on the three dimensions of behavioral intentions in both groups. The result of multi-group analysis showed that cultural differences moderated the effect of convenience on TTF and the effect of emotion on TTF.

The authors provided recommendations for restaurant operators and technology companies seeking to improve customer TTF and acceptance of facial recognition payment systems for the first time.

本研究旨在调查面部识别支付系统任务技术匹配（TTF）的关键前置因素和影响, 以文化差异为调节变量, 研究其在餐饮行业的应用。

我们收集了来自336名韩国和336名美国餐厅顾客的调查回答。

结果显示, 在两组中, 功能显著影响TTF。对于韩国样本来说, 情感被发现是TTF的重要决定因素, 而对于美国样本来说, 方便性和社会影响是TTF的关键预测因素。在两组中, TTF对行为意向的三个维度均产生了显著且积极的影响。多组分析结果显示, 文化差异在方便性对TTF的影响以及情感对TTF的影响中起到了调节作用。

我们首次为寻求改善顾客TTF和接受面部识别支付系统的餐厅经营者和技术公司提供了建议。

This study aims to propose a model of publics' ethical activism, testing the role of emotional outrage in an extended framework of the previously established STOPS model. Thus, this study aims to investigate (1) how ethical perception of a social issue affects situational motivation that leads to participation in public activism, and (2) how emotional outrage plays a role in mediating between situational motivation and activism behaviors.

The study aims at investigating the mediating role of emotional outrage between situational motivation and activism behaviors, which have not been investigated thoroughly in public relations research. By conducting a national survey with 386 people (N = 386) living in Australia, the study's suggestive model was tested in the context of two ethical issues (e.g. climate change and anti-racism). This study found that people who perceive an ethical issue are likely to be motivated to participate in activism behaviors. Specifically, three situational perceptions (i.e. problem recognition, constraint recognition and involvement recognition) were found to be significant factors affecting situational motivation (SM) in problem solving. A high level of emotional outrage was found to play a mediating role between SM and consequential ethical activism behaviors. The more people feel outraged about an ethical issue, the more likely they will engage in punitive behavior. This study contributes to the theoretical development of public relations by illuminating how situational perceptions lead to emotional outrage that promotes behavioral intentions in an ethical context. This study also suggests that a practitioner should be sought to manage the levels of perceptual factors when setting up a communication plan in response to an ethical public crisis.

This study found that people who perceive an ethical issue are likely to be motivated to participate in activism behaviors. Specifically, three situational perceptions (i.e. problem recognition, constraint recognition and involvement recognition) were found to be significant factors affecting situational motivation (SM) in problem solving. A high level of emotional outrage was found to play a mediating role between SM and consequential ethical activism behaviors. The more people feel outraged about an ethical issue, the more likely they will engage in punitive behavior.

This study substantiates how three perceptual antecedents may conjointly affect situational motivation. Also, the findings in this study also contribute to theoretical development in predicting ethical activism intentions. Another contribution of this study is to demonstrate the mediating role of emotional outrage between situational motivation and ethical activism. The authors strived to explore individuals' perceptions and its impact on intention to boycott against ethical problematic social issues. It should be considered that this study used a hypothetical and manipulated situation where respondents are exposed to the visual stimuli that focus on the moral problems that those specific issues have raised.

First, as problem recognition plays a prime mover role in the overall problem-solving process in an ethical context, organizations should reduce individual's ethical problem recognition. When setting up a communication plan, an organization should showcase their positive role in addressing the ethical problems (e.g. to show Adani's commitment to indigenous people and efforts to protect the environment). The response strategy should be effective enough to create an “ethical dilemma,” which refers to a situation in which one has a difficult choice to make between two ethical options.

This study contributes to theoretical development of public relations by illuminating how situational perceptions lead to emotional outrage that promotes behavioral intentions in an ethical context. This study also suggests that a practitioner should be sought to manage the levels of perceptual factors when setting up a communication plan in response to an ethical public crisis.

This study aims to analyze the effect of entrepreneurs’ improvisational behavior on business risk-taking and opportunity recognition, as well as to analyze its subsequent impact on firm performance. Moreover, this study examined whether the effect of entrepreneurs’ improvisational behavior on business risk-taking and opportunity recognition could be moderated by firm size and the business experience of entrepreneurs.

Online survey data were collected from 304 firms in Thailand that were randomly selected from a business directory. The data were assessed using partial least squares structural modeling.

The results confirmed that entrepreneurs who exhibited high levels of improvisational behavior tended to report that their firms engaged more actively in risk-taking and opportunity recognition. Moreover, risk-taking and opportunity recognition played a chain mediating effect in explaining the association between the improvisational behavior of entrepreneurs and firm performance. Regarding the moderating effects, this paper found that firm size negatively moderated the effect of improvisational behavior on risk-taking and opportunity recognition, while business experience of entrepreneurs only positively moderated the effect of improvisational behavior on risk-taking.

This study provided new knowledge by showing that improvisational behavior of entrepreneurs should be integrated with other firm advantages determined by firm size and the business experience of entrepreneurs to strengthen the ability to be more effective at risk-taking and opportunity recognition.

Knowledge management in any organization is important in enhancing the organization’s performance. This study aims to explore the influence of knowledge management capability on organizational performance with the mediation role of opportunity recognition and the moderation effect of environmental dynamism.

This study used an effective and well-developed survey to collect data from 387 managers working in different service organizations in the Kingdom of Saudi Arabia. Further, SmartPLS software was used for data analysis.

The outcomes confirm that knowledge management capability is directly and indirectly (via opportunity recognition) related to organizational performance. Environmental dynamism moderates the linkage between knowledge management capability and opportunity recognition, as well as between opportunity recognition and organizational performance.

This study provides a valuable and novel managerial and theoretical approach for management to improve firm performance with the help of knowledge management capabilities, opportunity recognition, and environmental dynamism. The findings of this paper can be implemented not only in the service sector but also in the production sector. Future studies can use this conceptual framework in different countries with the current data. Moreover, other analytical approaches can be used to check the variability of these findings.

This study contributes to connecting research gaps in the literature and advancing insights into how knowledge management capabilities affect organizational performance. The study explores the mediating role of opportunity recognition and environmental dynamics as moderators between knowledge management capability and opportunity recognition and between opportunity recognition and organizational performance.

This study aims to investigate the impact of accounting regulation (AR) on good news (GNs) recognition and conditional conservatism (CC), using the Chinese experiment in the 2006 AR.

The current study applies the Basu (1997) model to a sample of 26,755 firm-year observations from 1997 to 2017.

The study finds that GNs recognition is significantly reduced and becomes significantly less than bad news recognition under China’s 2006 AR, suggesting that CC is enhanced under China’s 2006 AR.

This paper excludes the financial sector from the sample. Thus, generalizing results on the financial sector is not appropriate. In addition, the available literature on this topic is limited as it deals with convergence with IFRS, not the full adoption of IFRS.

The study findings are expected to benefit policymakers and accounting standard setters in controlling GNs recognition and CC as well.

Whereas prior studies on this topic report their results on CC only, without considering the role of AR on GNs recognition, this paper highlights the role of AR on both GNs recognition and CC as well.

Data-driven marketing is replacing conventional marketing strategies. The modern marketing strategy is based on insights derived from customer behavior information gathered from their facial expressions and neuro-signals. This study explores the potential for face recognition and neuro-marketing in modern-day marketing.

The study conducts an in-depth examination of the extant literature on neuro-marketing and facial recognition marketing. The articles for review are downloaded from the Scopus database, and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) is then used to screen and choose the relevant papers. The systematic literature review method is applied to conduct the study.

An extensive review of the literature reveals that the domains of neuro-marketing and face recognition marketing remain understudied. The authors’ review of selected papers delivers five neuro-marketing and facial recognition marketing themes that are essential to modern marketing concepts.

Neuro-marketing and facial recognition marketing are artificial intelligence (AI)-enabled marketing techniques that assist in gaining cognitive insights into human behavior. The findings would be of use to managers in designing marketing strategies to enhance their marketing approach and boost conversion rates.

The uniqueness of this study lies in that it provides an updated review on neuro-marketing and face recognition marketing.